Power equipment insulation life prediction and operation and maintenance project initiation guidance method, device, equipment, medium and system

Abstract

The application provides a power equipment insulation life prediction and operation and maintenance project guidance method, device, equipment, medium and system. The method comprises the following steps: capturing a real-time leakage current time sequence signal of a power equipment; performing background noise stripping processing on the real-time leakage current time sequence signal to extract a target leakage current characteristic quantity; performing feature alignment processing on an accelerated aging index in an isolation test environment and the target leakage current characteristic quantity to establish an insulation degradation evolution benchmark of the power equipment, and then deducing a residual insulation time limit prediction value based on the insulation degradation evolution benchmark; analyzing and determining a matching spare part cycle parameter of the power equipment, and generating an operation and maintenance trigger instruction when confirming that the residual insulation time limit prediction value falls within a time window determined based on the matching spare part cycle parameter; and performing time sequence coordination arrangement processing on the matching spare part cycle parameter and a preset installation construction time cycle according to the operation and maintenance trigger instruction to generate corresponding operation and maintenance project guidance data packet output.

Description

Technical Field

[0001] This application relates to the field of intelligent operation and maintenance technology for power equipment, and more specifically, to a method, device, electronic device, computer-readable storage medium, and system for predicting the insulation life of power equipment and guiding the establishment of operation and maintenance projects. Background Technology

[0002] With the expansion of power grids and the increase in equipment load, insulation condition monitoring of high-value power equipment such as generators and transformers has become crucial, placing higher demands on the prediction of their insulation life and subsequent operation and maintenance project scheduling. Under complex electromagnetic conditions, the insulation performance degradation of these high-value devices directly affects the safety and stability of the entire power system. Therefore, it is necessary to establish a complete guidance system from equipment condition monitoring to operation and maintenance material scheduling.

[0003] In existing high-value power equipment monitoring and maintenance solutions, an independent decision-making architecture based on fixed threshold over-limit alarms is typically adopted. This solution first configures a conventional data acquisition instrument at the equipment end to collect wideband data on operating voltage or current at a fixed frequency. Then, the collected wideband signal is directly input into a preset threshold comparison logic. When the monitored value exceeds the factory-set safety threshold, the system issues an equipment anomaly alarm. Finally, after receiving the alarm information, the maintenance management platform retrieves a general material replacement plan and, based on the fixed period in the plan, issues a material allocation request to the warehousing department.

[0004] However, this independent decision-making scheme based on fixed threshold over-limit alarms has significant technical flaws. Due to the complex electromagnetic interference in the operating environment of transformers or generators, the broadband overall acquisition method cannot extract microampere-level leakage current characteristics from the strong interference background. At the same time, directly comparing with the fixed safety red line set by the factory lacks the ability to predict migration by aligning the accelerated aging data of the isolated environment with the actual on-site operating conditions, and cannot extrapolate reliable remaining insulation life. More importantly, the physical equipment monitoring and supply chain logistics scheduling under this scheme are disconnected, lacking a deep closed-loop coupling mechanism between physical life evolution and the supply chain cycle. As a result, the final project proposal often fails to match the actual delivery cycle of materials and specific power outage construction windows, leading to serious safety hazards such as delayed operation and maintenance or even equipment exceeding its service life with defects. Summary of the Invention

[0005] This application provides a method, apparatus, electronic device, computer-readable storage medium, and system for predicting the insulation life of power equipment and guiding the establishment of operation and maintenance projects, so as to at least alleviate the above-mentioned technical problems.

[0006] A method for predicting the insulation life of power equipment and guiding project initiation for operation and maintenance includes: Capture real-time leakage current timing signals of power equipment; Background noise stripping is performed on the real-time leakage current timing signal to extract the target leakage current feature quantity, which is the timing waveform data after filtering out electromagnetic interference components; The accelerated aging index under the isolated test environment is aligned with the target leakage current characteristic to establish the insulation degradation evolution benchmark of the power equipment, and then the remaining insulation aging prediction value is deduced based on the insulation degradation evolution benchmark. The matching spare parts cycle parameters of the power equipment are determined by analysis, and when it is confirmed that the remaining insulation aging prediction value falls within the time window determined based on the matching spare parts cycle parameters, an operation and maintenance trigger instruction is generated. Based on the maintenance triggering command, the timing coordination and arrangement process is performed in conjunction with the matching spare parts cycle parameters and the preset installation and construction time cycle to generate the corresponding maintenance project initiation guidance data package output.

[0007] The technical advantages of the technical solution provided in this application are: This application's method for predicting the insulation life of power equipment and guiding project initiation addresses the technical deficiency of traditional solutions in extracting leakage features from strong interference backgrounds. By capturing the real-time leakage current time-series signal of the power equipment and performing background noise stripping on the signal, the target leakage current feature quantity is extracted, solving the problem of weak feature extraction being susceptible to electromagnetic interference. Compared to traditional broadband overall acquisition methods, this application limits the extraction of the extracted time-series waveform data after filtering out electromagnetic interference components as feature input, which can more effectively remove complex electromagnetic background noise from transformers or generators, resulting in higher signal-to-noise ratio and fidelity in the extraction of physical degradation features.

[0008] Secondly, addressing the technical shortcomings of traditional solutions that rely on fixed thresholds and lack a mechanism for mapping laboratory aging indicators to the field, this application establishes an insulation degradation evolution benchmark for the power equipment by aligning accelerated aging indicators under isolated testing conditions with the target leakage current characteristic quantity. Based on this benchmark, the remaining insulation life prediction value is then derived. Compared to conventional techniques that directly compare field data with factory static thresholds, this solution's feature alignment mechanism constructs a cross-domain lifetime prediction logic, flexibly adapting laboratory benchmark data to actual field conditions, thus ensuring high reliability of the remaining lifetime prediction (RUL) results.

[0009] Finally, addressing the technical pain point of delayed operation and maintenance caused by the disconnect between equipment monitoring and supply chain logistics scheduling in traditional solutions, this application analyzes and determines the matching spare parts cycle parameters of the power equipment. When the predicted remaining insulation lifespan falls within the time window determined by the matching spare parts cycle parameters, an operation and maintenance trigger instruction is generated. Finally, based on the operation and maintenance trigger instruction, the matching spare parts cycle parameters, and the preset installation and construction time cycle, a time-series collaborative orchestration process is performed to generate a corresponding operation and maintenance project initiation guidance data package. This mechanism deeply closes the loop between "physical lifespan evolution" and "supply chain decision-making logic" at the algorithm layer, effectively breaking down the information silos between the prediction and execution management ends. Compared to traditional delayed alarm scheduling mechanisms, it can automatically reserve sufficient spare parts procurement and power outage construction time before insulation breakdown, exhibiting higher project initiation closed-loop driving efficiency. Attached Figure Description

[0010] Figure 1 This application provides an embodiment of a scenario based on power equipment insulation life prediction and operation and maintenance project initiation guidance. Figure 2 This application provides an embodiment of a method for predicting the insulation life of power equipment and guiding project initiation for operation and maintenance. Detailed Implementation

[0011] like Figure 1 As shown, this is an embodiment of the present application of a scenario based on power equipment insulation life prediction and operation and maintenance project initiation guidance. Figure 2 The illustration shows a method for predicting the insulation life of power equipment and guiding maintenance project establishment according to an embodiment of this application. The method includes the following steps: capturing the real-time leakage current time-series signal of the power equipment; performing background noise stripping processing on the real-time leakage current time-series signal to extract a target leakage current feature quantity, wherein the target leakage current feature quantity is time-series waveform data after filtering out electromagnetic interference components; performing feature alignment processing between the accelerated aging index under the isolation test environment and the target leakage current feature quantity to establish the insulation degradation evolution benchmark of the power equipment, and then deriving the remaining insulation life prediction value based on the insulation degradation evolution benchmark; parsing and determining the matching spare parts cycle parameters of the power equipment, and generating a maintenance trigger command when confirming that the remaining insulation life prediction value falls within the time window determined based on the matching spare parts cycle parameters; and performing time-series collaborative orchestration processing based on the maintenance trigger command, the matching spare parts cycle parameters, and the preset installation and construction time cycle to generate a corresponding maintenance project establishment guidance data package output.

[0012] Optionally, the background noise stripping process for the real-time leakage current time-series signal to extract the target leakage current feature includes: reading the sampling time identifier, waveform amplitude sequence, and frequency domain energy distribution data of the real-time leakage current time-series signal to generate a noise stripping input record corresponding to the real-time leakage current time-series signal; identifying the transient amplitude change position in the real-time leakage current time-series signal based on the noise stripping input record, and determining the transient electromagnetic pulse frequency range in the frequency domain energy distribution data based on the transient amplitude change position; determining the frequency band truncation suppression threshold corresponding to each frequency sub-band based on the transient electromagnetic pulse frequency range and a preset frequency band interference suppression rule; performing segmented suppression processing on the electromagnetic interference components in the real-time leakage current time-series signal based on the frequency band truncation suppression threshold, and retaining the core waveform segments that have the function of insulation degradation characterization; performing time-series backfilling processing on the retained core waveform segments according to the sampling time identifier to generate time-series waveform data after filtering out electromagnetic interference components, and using the time-series waveform data as the target leakage current feature.

[0013] Preferably, the specific implementation process of the step "reading the sampling time identifier, waveform amplitude sequence, and frequency domain energy distribution data of the real-time leakage current time-series signal, and generating a noise stripping input record corresponding to the real-time leakage current time-series signal" is as follows: After capturing the real-time leakage current time-series signal of the power equipment, the real-time leakage current time-series signal is first subjected to sampling frame parsing processing to extract the sampling time identifier and the corresponding leakage current amplitude data from each sampling frame. Then, the multiple leakage current amplitude data are arranged in time sequence according to the order of the sampling time identifier to form the waveform amplitude sequence. The technical essence of the sampling time identifier is a time index used to characterize the sequential position of each sampling point in the real-time leakage current time-series signal. Its function is not simply to record the acquisition time, but to provide a unified time reference for subsequent identification of transient amplitude change positions, determination of transient electromagnetic pulse frequency ranges, preservation of core waveform segments, and time-series backfilling processing. The technical essence of the waveform amplitude sequence is the leakage current amplitude data arranged according to the sampling time identifier. It is used to characterize the waveform shape of the leakage current of the power equipment changing over time under the operating state. Since insulation degradation usually manifests as an increase in waveform noise floor, an increase in local pulses, or a change in amplitude envelope, the waveform amplitude sequence is the original waveform basis for background noise stripping processing. Furthermore, the waveform amplitude sequence is subsequently entered into the noise stripping input record to participate in the identification of transient amplitude change locations and the segmentation and preservation of core waveforms.

[0014] Preferably, in the specific technical implementation of the step "reading the sampling time identifier, waveform amplitude sequence, and frequency domain energy distribution data of the real-time leakage current time-series signal, and generating a noise stripping input record corresponding to the real-time leakage current time-series signal", after forming the waveform amplitude sequence, the waveform amplitude sequence is windowed according to a preset time window length to obtain windowed waveform segments corresponding to multiple consecutive time windows; subsequently, frequency decomposition processing is performed on each windowed waveform segment to determine the energy occupancy status in different frequency ranges, and the energy occupancy status in each frequency range is arranged according to the time window order corresponding to the sampling time identifier to form the frequency domain energy distribution data. The technical essence of the frequency domain energy distribution data is the energy distribution description of the real-time leakage current time-series signal in different frequency ranges, which is used to distinguish between electromagnetic interference components and leakage current waveform components related to insulation degradation in the operating environment; for example, switching interference, transient disturbances of adjacent equipment, and power frequency incidental disturbances that occur at the transformer or generator operating site usually form short-term energy surges in some frequency ranges, while leakage current changes related to insulation degradation are more concerned with waveform evolution states that can be continuously tracked along time. Therefore, the frequency domain energy distribution data and the waveform amplitude sequence are entered into the noise stripping input record together, so that when identifying the location of transient amplitude change, the judgment is not based on the magnitude of a single amplitude, but on the sampling time marker, the waveform amplitude sequence and the frequency domain energy distribution data at the same time.

[0015] Preferably, in the specific implementation of the step "generating a noise stripped input record corresponding to the real-time leakage current timing signal", the sampling time identifier, the waveform amplitude sequence, and the frequency domain energy distribution data are aligned according to the same sampling time identifier, and the noise stripped input record is formed after the field alignment process. The technical essence of the noise stripped input record is a structured intermediate record for background noise stripping processing, which includes at least a sampling time identifier field, a waveform amplitude field, a frequency domain energy field, a time window position field, and a frequency sub-band position field; wherein, the sampling time identifier field is used to indicate the original sampling position in the real-time leakage current timing signal, the waveform amplitude field is used to carry the leakage current amplitude data in the waveform amplitude sequence corresponding to the original sampling position, the frequency domain energy field is used to carry the energy occupancy state corresponding to the time window to which the original sampling position belongs, the time window position field is used to limit the time range of subsequent segmented suppression processing, and the frequency sub-band position field is used to limit the frequency range for subsequently determining the frequency band truncation suppression threshold. Through the above field alignment process, the noise stripping input record binds the information that was originally scattered in the time domain and frequency domain to the same sampling time identifier. Subsequent transient amplitude change location identification, transient electromagnetic pulse frequency range determination, frequency band truncation suppression threshold determination, and timing backfilling processing can all directly call the noise stripping input record without having to return to the unstructured original waveform to find the data source.

[0016] Preferably, the specific implementation process of the step "identifying the transient amplitude change position in the real-time leakage current time-series signal based on the noise stripping input record" is as follows: First, read the waveform amplitude field and sampling time identifier field in the noise stripping input record; then, perform difference indexing on the amplitude change amplitude between adjacent sampling points according to the order of the sampling time identifier field to form an amplitude change indexing record; subsequently, determine the position where the amplitude jumps within a short time range based on the amplitude change indexing record, and perform corresponding processing with the time window position field in the noise stripping input record to generate the transient amplitude change position. The technical essence of the transient amplitude change position is the sampling position in the real-time leakage current time-series signal where the amplitude change rate exceeds the background change level within the adjacent time range, which is used to locate the time entry point of the electromagnetic interference component entering the real-time leakage current time-series signal. This processing method differs from the traditional whole-segment threshold comparison method because the amplitude of microampere-level leakage current is relatively low, and it is difficult to distinguish between slow changes caused by insulation degradation and short-term spikes caused by on-site electromagnetic interference by directly using a fixed safety red line. By locating the transient amplitude change position through the amplitude change indexing record, the time entry point of the electromagnetic interference component into the real-time leakage current timing signal can be locked in the time dimension first, and then the transient amplitude change position is confirmed in the frequency dimension by the frequency domain energy distribution data.

[0017] Preferably, in the specific implementation of the step "determining the transient electromagnetic pulse frequency range in the frequency domain energy distribution data based on the transient amplitude change position", the transient amplitude change position is backfilled into the time window position field in the noise stripping input record to determine the target time window corresponding to the transient amplitude change position; subsequently, the energy occupancy status corresponding to each frequency sub-band position field within the target time window is read from the frequency domain energy distribution data, and the continuity of the energy occupancy status between adjacent frequency sub-bands is judged to determine the frequency range in which energy concentration occurs and is synchronized with the transient amplitude change position, and then this frequency range is used as the transient electromagnetic pulse frequency range. The technical essence of the transient electromagnetic pulse frequency range is the interference frequency range that corresponds to the transient amplitude change position in time and exhibits a short-term energy concentration state in frequency, which is used to provide a frequency-side basis for subsequently determining the frequency band cutoff suppression threshold. In this processing, the frequency domain energy distribution data is not an isolated frequency domain statistical result, but rather a time-frequency correspondence is established between the target time window and the transient amplitude abrupt change position. This time-frequency correspondence is used to define the transient electromagnetic pulse frequency range, which originates from both the transient amplitude abrupt change position and the frequency domain energy distribution data. Therefore, subsequent bandgap interference suppression rules can configure suppression strength for the transient electromagnetic pulse frequency range, avoiding unnecessary attenuation of insulation degradation-related waveform components that do not belong to the transient electromagnetic pulse frequency range.

[0018] Preferably, the specific implementation process of the step "determining the frequency band truncation suppression threshold corresponding to each frequency sub-band based on the transient electromagnetic pulse frequency range and the preset frequency band interference suppression rules" is as follows: First, the real-time leakage current time-series signal is divided into multiple frequency sub-bands according to the frequency range. The technical essence of the frequency sub-band is that it is a frequency carrying unit formed by segmenting the frequency range of the real-time leakage current time-series signal. Each frequency sub-band corresponds to the frequency sub-band position field in the frequency domain energy distribution data. Then, the transient electromagnetic pulse frequency range is read, and the transient electromagnetic pulse frequency range is matched with each frequency sub-band to form a coverage relationship matching result. Based on the coverage relationship matching result, it is determined whether each frequency sub-band belongs to the frequency range that needs to be suppressed. The preset frequency band interference suppression rules are pre-configured using historical operating signals, no-load monitoring signals, and normal leakage current samples from similar power equipment. The historical operating signals provide background energy changes for the power equipment during operation; the no-load monitoring signals provide reference waveforms for the power equipment under low-interference conditions; and the normal leakage current samples from similar power equipment provide the normal fluctuation range of leakage current for the same type of equipment. The configuration of the preset frequency band interference suppression rules includes a background energy reference range, a transient energy rise determination range, and a minimum amplitude constraint for retaining the waveform for each frequency sub-band. The background energy reference range is used to determine whether the energy occupancy state of each frequency sub-band deviates from the operating background; the transient energy rise determination range is used to determine whether there is a short-term energy surge in each frequency sub-band; and the minimum amplitude constraint for retaining the waveform is used to avoid segmented suppression processing weakening low-amplitude continuous components related to insulation degradation. With the above configuration method, the preset frequency band interference suppression rule does not fixedly cut off a certain frequency range, but determines the frequency band cutoff suppression threshold corresponding to the interference level for each frequency sub-band based on the coverage relationship matching result, the background energy reference range, the transient energy rise judgment range, and the minimum amplitude constraint of the retained waveform.

[0019] Preferably, in the specific technical implementation of the step "determining the band cutoff suppression threshold corresponding to each frequency sub-band", for the frequency sub-band falling into the transient electromagnetic pulse frequency range, the band cutoff suppression threshold corresponding to the frequency sub-band is increased according to the coverage relationship matching result, the background energy reference range, and the transient energy rise determination range, so as to weaken the electromagnetic interference component formed by the short-term energy surge in subsequent segmented suppression processing; for the frequency sub-band not falling into the transient electromagnetic pulse frequency range and with continuous energy occupancy, the band cutoff suppression threshold is kept low according to the background energy reference range and the minimum amplitude constraint of the retained waveform, so as to retain the waveform component formed by the slow change of leakage current with insulation degradation. The technical essence of the band cutoff suppression threshold is the energy retention boundary of each frequency sub-band when performing segmented suppression processing, which is used to determine whether the signal component in a certain frequency sub-band should be suppressed or retained. The reason for this setting is that the leakage current signal of operating power equipment usually contains both low-amplitude continuous components related to insulation degradation and short-term abrupt components caused by field interference. If a uniform suppression threshold is applied to the entire signal, it is easy to weaken the weak waveform in the early stage of insulation degradation. By determining the frequency band truncation suppression threshold according to the frequency sub-band, the suppression processing can be concentrated on the interference frequency range related to the transient electromagnetic pulse frequency range, and a threshold basis is provided for the subsequent preservation of core waveform segments.

[0020] Preferably, the specific implementation process of the step "performing segmented suppression processing of the electromagnetic interference component in the real-time leakage current time-series signal based on the frequency band truncation suppression threshold, and retaining the core waveform segment with insulation degradation characterization function" is as follows: First, based on the time window position field and frequency sub-band position field in the noise stripping input record, the real-time leakage current time-series signal is divided into multiple time-frequency segmented waveforms; then, the energy occupancy state corresponding to each time-frequency segmented waveform is compared with the frequency band truncation suppression threshold corresponding to the frequency sub-band to which the time-frequency segmented waveform belongs, to determine the electromagnetic interference component in the time-frequency segmented waveform. For time-frequency segmented waveforms whose energy occupancy state exceeds the frequency band truncation suppression threshold and corresponds in time to the transient amplitude change position, segmented suppression processing is performed to reduce the degree of occupancy of the electromagnetic interference component in the waveform amplitude sequence; for time-frequency segmented waveforms whose energy occupancy state does not exceed the frequency band truncation suppression threshold, or whose energy changes but continue to evolve along adjacent time windows, retention processing is performed to form the core waveform segment. The core waveform segmentation technique essentially involves retaining waveform segments that reflect the temporal evolution of the leakage current after being filtered by the frequency band truncation suppression threshold. These segments are not arbitrarily retained low-energy segments, but rather waveform segments that simultaneously satisfy time continuity, frequency stability, and insulation degradation characterization. After formation, the core waveform segment continues to participate in timing backfilling processing so that the waveform after background noise stripping can be restored to the original timeline corresponding to the real-time leakage current timing signal.

[0021] Preferably, in the specific technical implementation of the step "retaining the core waveform segment with insulation degradation characterization function", the insulation degradation characterization function is determined by the waveform continuity relationship between the core waveform segment and adjacent time windows. Specifically, the time-frequency segmented waveform after segmentation suppression processing is compared with adjacent time windows. If a certain time-frequency segmented waveform maintains a traceable amplitude envelope change between adjacent time windows, and the time-frequency segmented waveform does not form a short-term synchronization relationship with the transient amplitude change position, then the time-frequency segmented waveform is retained as the core waveform segment. If a certain time-frequency segmented waveform only appears briefly near the transient amplitude change position, and its corresponding energy occupancy state falls concentrated in the transient electromagnetic pulse frequency range, then the time-frequency segmented waveform is classified as an electromagnetic interference component and segmentation suppression processing is performed. Through the above processing, the core waveform segment establishes a correspondence with the continuous change state related to insulation degradation, and the time sequence shape of the leakage current can be retained when generating the target leakage current characteristic quantity, rather than only retaining a single peak value or a single statistic. This process enables the target leakage current characteristic to continue participating in the subsequent feature alignment process with the accelerated aging index under the isolation test environment, thereby providing a more stable field waveform basis for establishing the insulation degradation evolution benchmark of the power equipment.

[0022] Preferably, the specific implementation process of the step "performing time-series backfilling processing on the retained core waveform segments according to the sampling time identifier to generate time-series waveform data after filtering out electromagnetic interference components, and using the time-series waveform data as the target leakage current characteristic quantity" is as follows: First, read the sampling time identifier corresponding to each core waveform segment, and backfill each core waveform segment to the original time position of the real-time leakage current time-series signal according to the sampling time identifier; for the time position where the electromagnetic interference component weakened by the segmented suppression processing is located, form a time-series connection relationship according to the core waveform segments adjacent to the time position, and use the time-series connection relationship to perform waveform continuity completion processing to form the time-series waveform data. The technical essence of the time-series backfilling processing is the waveform reconstruction process of restoring the retained core waveform segments to a unified time axis, which is to avoid the formation of time discontinuities after background noise stripping processing. The waveform continuity completion processing is used to fill the time gaps formed after the segmented suppression processing according to the time-series connection relationship, and to make the completed waveform part continue to conform to the waveform continuity relationship of the core waveform segments between adjacent time windows. The technical essence of the time-series waveform data is to retain the time sequence corresponding to the sampling time identifier and remove the main electromagnetic interference components of the leakage current waveform data. It not only maintains the time sequence structure of the real-time leakage current time-series signal, but also reduces the shielding effect of transient electromagnetic interference on the degradation mode of leakage current.

[0023] Preferably, in one scenario, when the step "using the time-series waveform data as the target leakage current feature" is specifically implemented, a correspondence is established between the time-series waveform data and the sampling time identifier field in the noise stripping input record, and the positions of each waveform in the time-series waveform data are associated with the source positions of the core waveform segments to form a core waveform segment source relationship. Then, the time-series waveform data, the sampling time identifier, and the core waveform segment source relationship are collectively used as the target leakage current feature that can be called upon in subsequent feature alignment processing. The technical essence of the target leakage current feature is the field leakage current degradation characterization data after background noise stripping. It differs from the broadband sampling signal that directly enters the threshold comparison in traditional schemes, and also differs from a single statistical parameter that only expresses the peak value. The target leakage current feature retains the sampling time identifier, the time-series waveform data after filtering out electromagnetic interference components, and the core waveform segment source relationship. This allows for feature alignment processing of the accelerated aging index under the isolated test environment with the target leakage current feature, enabling a comparison of the degradation correspondence between the field operating waveform and the accelerated aging waveform under the same time-series waveform aperture. Therefore, background noise stripping not only reduces interference, but also transforms the real-time leakage current timing signal into the target leakage current characteristic quantity that can participate in the establishment of the insulation degradation evolution benchmark.

[0024] Optionally, the step of establishing the accelerated aging index under the isolated test environment occurs before the feature alignment processing of the accelerated aging index under the isolated test environment with the target leakage current characteristic quantity; the establishment of the accelerated aging index under the isolated test environment specifically includes: acquiring a sample power device of the same type as the power device, and conducting accelerated aging tests on the sample power device in the isolated test environment according to preset reference temperature and humidity conditions; during the accelerated aging test, collecting the first degradation waveform characteristic data of the sample power device according to the same sampling aperture as the real-time leakage current timing signal; extracting peak attenuation characteristic parameters corresponding to multiple preset time nodes based on the test time nodes, waveform amplitude change states, and peak position change states in the first degradation waveform characteristic data; associating and storing the peak attenuation characteristic parameters, the preset reference temperature and humidity conditions, the device type, and the sampling aperture in the accelerated aging index record; and caching the accelerated aging index record as the accelerated aging index used for feature alignment processing with the target leakage current characteristic quantity.

[0025] Preferably, the specific implementation process of the step "obtaining sample power equipment of the same type as the power equipment and conducting accelerated aging tests on the sample power equipment in an isolated test environment according to preset reference temperature and humidity conditions" is as follows: Before establishing the accelerated aging index in the isolated test environment, the equipment type, insulation material category, rated voltage level, and operating condition category of the power equipment are read, and the equipment type, insulation material category, rated voltage level, and operating condition category are combined to form sample matching conditions; subsequently, a pre-configured sample equipment registration record is read. The sample equipment registration record is used to carry the equipment type, insulation material category, rated voltage level, and operating condition category corresponding to multiple candidate sample equipment, and the sample power equipment of the same type as the power equipment is selected from the sample equipment registration record according to the sample matching conditions, and a correspondence is established between the sample power equipment and the sample matching conditions. The technical essence of the sample matching conditions is a structured screening basis used to limit the comparability between the sample source and the power equipment. Its function is to ensure that the subsequently formed accelerated aging index can correspond to the insulation degradation scenario of the power equipment, rather than general aging data from different types of equipment. The technical essence of the sample power equipment is that it is a test object that is similar to the power equipment in terms of equipment type, insulation material category, rated voltage level and operating condition category. It then enters the isolated test environment and generates the first degradation waveform feature data in the isolated test environment. The sample equipment registration record continues to serve as the source record of the sample power equipment after the screening is completed, and forms a source correspondence with the subsequently established accelerated aging test record.

[0026] Preferably, in the specific technical implementation of the step "conducting accelerated aging tests on the sample power equipment in an isolated test environment according to preset reference temperature and humidity conditions", the isolated test environment is constructed jointly by an isolated installation space, temperature and humidity adjustment records, an external disturbance shielding boundary, and a sampling link configuration record. The isolated installation space is used to house the sample power equipment and separate it from random electromagnetic disturbance sources in the operating environment; the temperature and humidity adjustment records are used to record the preset reference temperature and humidity conditions and the temperature and humidity changes during the accelerated aging test; the external disturbance shielding boundary is used to reduce the interference fluctuations caused by random electromagnetic disturbance sources in the operating environment to the first degradation waveform characteristic data; the sampling link configuration record is used to ensure that the sample power equipment uses the same sampling aperture as the real-time leakage current timing signal during the accelerated aging test. Therefore, the isolated test environment is not simply a physical placement space, but a test data generation environment that associates and constrains the sample power equipment, the preset reference temperature and humidity conditions, the external disturbance shielding boundary, and the sampling link configuration record; the test data generation environment is used to limit the generation source of the first degradation waveform feature data, so that the first degradation waveform feature data subsequently collected can be used as the data source for the accelerated aging index record.

[0027] Preferably, in the specific implementation of the step "conducting accelerated aging tests on the sample power equipment according to preset reference temperature and humidity conditions", the preset reference temperature and humidity conditions are pre-configured based on the equipment type, the insulation material category, and the rated voltage level. Specifically, a pre-configured temperature and humidity reference configuration table is first read, which carries the reference temperature range and reference humidity range corresponding to different equipment types; then, according to the insulation material category, the allowable fluctuation range of temperature and humidity changes is configured in the temperature and humidity reference configuration table, and the reference temperature range, the reference humidity range, and the allowable fluctuation range are combined to form the preset reference temperature and humidity conditions. The technical essence of the preset reference temperature and humidity conditions is to limit the data constraints of the external stress environment for insulation degradation of the sample power equipment. It is not used to directly represent the on-site temperature and humidity of the power equipment, but to form a reproducible accelerated aging test reference in the isolated test environment. Subsequently, a temperature and humidity control sequence is generated based on the preset reference temperature and humidity conditions, and the temperature and humidity state in the isolated test environment is adjusted according to the temperature and humidity control sequence, so that the sample power equipment generates leakage current waveform changes that evolve with the test time under controlled temperature and humidity conditions, thereby providing stable data generation conditions for collecting the first degraded waveform feature data; the temperature and humidity control sequence is subsequently written into the temperature and humidity adjustment record so that the temperature and humidity adjustment record can refer back to the execution state of the preset reference temperature and humidity conditions.

[0028] Preferably, the specific implementation process of step "accelerated aging test on the sample power equipment" is as follows: After the isolated test environment reaches the preset reference temperature and humidity conditions, an accelerated aging test record is first established, and the sample power equipment, the sample matching conditions, the sample equipment registration record, the preset reference temperature and humidity conditions, the temperature and humidity adjustment record, and the sampling link configuration record are associated with the accelerated aging test record; subsequently, according to the accelerated aging test record, aging excitation conditions adapted to its equipment type are applied to the sample power equipment, so that the insulation state of the sample power equipment changes traceably over the test time; then, according to the sampling link configuration record, the leakage current waveform of the sample power equipment is continuously collected to form the first degradation waveform feature data. The technical essence of the aging excitation conditions is to generate data triggering conditions for insulation degradation evolution of the sample power equipment in the isolated test environment, which, together with the preset reference temperature and humidity conditions, defines the source environment of the first degradation waveform feature data. The accelerated aging test record is subsequently used to refer back to the test source of the first degraded waveform feature data, so that the peak attenuation feature parameter not only has a numerical source at the waveform level, but also has a test source corresponding to the sample power equipment, the sample matching conditions, the preset reference temperature and humidity conditions, and the sampling link configuration record.

[0029] Preferably, the specific implementation process of step "collecting the first degradation waveform feature data of the sample power equipment according to the same sampling aperture as the real-time leakage current timing signal during the accelerated aging test" is as follows: First, read the sampling configuration record corresponding to the real-time leakage current timing signal. The sampling configuration record is used to carry the sampling time interval, sampling time identifier generation method, waveform amplitude sampling method, and frequency range division method of the real-time leakage current timing signal. Then, read the sampling time interval, sampling time identifier generation method, waveform amplitude sampling method, and frequency range division method from the sampling configuration record, and configure the sampling time interval, sampling time identifier generation method, waveform amplitude sampling method, and frequency range division method as the sampling aperture. Then, write the sampling aperture into the sampling link configuration record, and collect the leakage current waveform of the sample power equipment during the accelerated aging test according to the sampling link configuration record to form the first degradation waveform feature data. The technical essence of the sampling aperture is to ensure that the first degraded waveform feature data and the real-time leakage current timing signal maintain the same data expression method in terms of sampling time identifier, waveform amplitude, and frequency range. Its function is to reduce aperture differences in subsequent feature alignment processing. The technical essence of the first degraded waveform feature data is the leakage current degradation waveform data formed by the sample power equipment in the isolated test environment as the accelerated aging test progresses. It subsequently enters the peak attenuation feature parameter extraction process and serves as the waveform source for the accelerated aging index recording. The sampling configuration record serves as the source record of the sampling aperture, and together with the sampling link configuration record, it defines the sampling source of the first degraded waveform feature data.

[0030] Preferably, in the specific implementation of the step "extracting peak attenuation characteristic parameters corresponding to multiple preset time nodes based on the test time nodes, waveform amplitude change states, and peak position change states in the first degraded waveform characteristic data", the first degraded waveform characteristic data is first processed by time index parsing according to the sampling time identifier generation method in the sampling aperture to determine the test time nodes in the first degraded waveform characteristic data. The technical essence of the test time node is the test progress position of the first degraded waveform characteristic data in the accelerated aging test process, which is used to mark the leakage current waveform state corresponding to different degradation stages. Subsequently, the first degraded waveform characteristic data is segmented and located according to the test time nodes to form test waveform segments corresponding to each test time node, and the test waveform segments are used as the direct data source for subsequently determining the waveform amplitude change state and the peak position change state. The test time node is not an independent time marker, but rather participates in the extraction of peak attenuation feature parameters through the segmentation of the test waveform, so that the peak attenuation feature parameters can reflect the waveform change relationship between different degradation stages; the test waveform segments are subsequently processed by amplitude envelope extraction and peak position search, respectively, to form the waveform amplitude change state and the peak position change state.

[0031] Preferably, in the specific technical implementation of the step "extracting peak attenuation characteristic parameters corresponding to multiple preset time nodes based on the test time nodes, waveform amplitude change states, and peak position change states in the first degraded waveform feature data", amplitude envelope extraction processing is performed on each of the test waveform segments to determine the waveform amplitude change state of the test waveform segment at the corresponding test time node. The technical essence of the waveform amplitude change state is the amplitude evolution description of the first degraded waveform feature data between adjacent test time nodes, which is used to reflect the trend of leakage current strength change of the sample power equipment during accelerated aging test. Subsequently, based on the pre-configured local amplitude high point conditions, the peak position that satisfies the local amplitude high point conditions is searched in each of the test waveform segments, and the peak positions corresponding to adjacent test time nodes are time-series correspondence processed to determine the peak position change state. The local amplitude high point condition is pre-configured based on the waveform amplitude sampling method in the sampling aperture and the amplitude comparison method of adjacent sampling points in the first degraded waveform feature data. It is used to limit the local waveform positions that can be identified as peak positions within the test waveform segments. The local amplitude high point condition participates in the peak position search process to determine the peak position and allows the peak position to continue entering the peak position change state determination process. The technical essence of the peak position change state is a temporal description of the displacement or morphological change of the peak in the first degraded waveform feature data along the test time. It is used to reflect the impact of insulation degradation of the sample power equipment on the local morphology of the leakage current waveform. The waveform amplitude change state and the peak position change state jointly participate in the extraction of the peak attenuation feature parameters, so that the peak attenuation feature parameters not only express the height of a single peak but also the combined change of peak height and peak position with test time.

[0032] Preferably, in the specific implementation of step "the peak attenuation characteristic parameters corresponding to multiple preset time nodes", the multiple preset time nodes are pre-configured according to the test start time, test end conditions, and stage sampling interval in the accelerated aging test record. Specifically, when establishing the accelerated aging test record, the stage sampling interval is configured according to the equipment type and the insulation material category, and multiple preset time nodes are generated sequentially from the test start time according to the stage sampling interval; the preset time nodes are used to limit the time position for extracting the peak attenuation characteristic parameters from the first degraded waveform characteristic data, so that the peak attenuation characteristic parameters formed by different sample power equipment have comparable test time node calibers. Subsequently, each preset time node is matched with the nearest test time node, and the waveform amplitude change state and peak position change state are read from the corresponding test waveform segment, thereby extracting the peak attenuation characteristic parameter corresponding to the preset time node. Thus, the preset time node originates from the accelerated aging test record, and the test time node originates from the first degraded waveform characteristic data; the two jointly limit the extraction position of the peak attenuation characteristic parameter through time correspondence processing.

[0033] Preferably, the specific implementation process of step "extracting peak attenuation characteristic parameters corresponding to multiple preset time nodes" is as follows: For each preset time node, the test waveform is segmented, and the peak amplitude change in the waveform amplitude change state is read, along with the peak position offset in the peak position change state. Subsequently, peak attenuation indexing is performed based on the peak amplitude change and the peak position offset to form the peak attenuation characteristic parameters. The peak attenuation indexing process is used to correlate and index the peak amplitude change and the peak position offset according to the preset time nodes at the same time position, so that each preset time node corresponds to one peak attenuation characteristic parameter. The technical essence of the peak attenuation characteristic parameters is a combined degradation index used to characterize the degree of peak amplitude attenuation and peak position drift of the leakage current waveform when the sample power equipment experiences insulation degradation under the isolated test environment. The peak attenuation characteristic parameter is not equivalent to a single peak amplitude, nor is it equivalent to a waveform screenshot at a single test moment. Instead, it is determined jointly by the test time node, the waveform amplitude change state, and the peak position change state. The peak attenuation characteristic parameter is subsequently associated with the preset reference temperature and humidity conditions, the device type, and the sampling aperture and stored in the accelerated aging index record to form the accelerated aging index that can be called upon by the feature alignment processing.

[0034] Preferably, in the specific implementation of the step "associating and storing the peak attenuation characteristic parameter, the preset reference temperature and humidity conditions, the equipment type, and the sampling aperture in the accelerated aging index record", the accelerated aging index record is first established, and the peak attenuation characteristic parameter field, the preset reference temperature and humidity condition field, the equipment type field, the sampling aperture field, and the test source field are configured in the accelerated aging index record. Subsequently, the peak attenuation characteristic parameter is written into the peak attenuation characteristic parameter field, the preset reference temperature and humidity conditions are written into the preset reference temperature and humidity condition field, the equipment type is written into the equipment type field, the sampling aperture is written into the sampling aperture field, and the accelerated aging test record is written into the test source field. The technical essence of the accelerated aging index record is a structured record used to carry the correspondence between degradation waveform indicators and test constraints under isolated test environment, which enables the peak attenuation characteristic parameter to refer back to the preset reference temperature and humidity conditions, the equipment type, the sampling aperture, and the accelerated aging test record. Using the aforementioned associated storage method, when performing feature alignment processing between the accelerated aging index and the target leakage current characteristic quantity, the corresponding peak attenuation characteristic parameter can be screened based on the device type and the sampling aperture, and the test environment source corresponding to the peak attenuation characteristic parameter can be identified based on the preset reference temperature and humidity conditions.

[0035] Preferably, the specific implementation process of the step "caching the accelerated aging index record as the accelerated aging index for feature alignment processing with the target leakage current characteristic" is as follows: After the accelerated aging index record is formed, the equipment type field and the sampling aperture field in the accelerated aging index record are read first, and the equipment type field and the sampling aperture field are matched with the equipment type of the power equipment corresponding to the target leakage current characteristic and the sampling aperture corresponding to the real-time leakage current timing signal; after successful matching, the accelerated aging index record is cached as the accelerated aging index, and the accelerated aging index is configured as the isolation test-side degradation reference data for subsequent feature alignment processing. The technical essence of the accelerated aging index is the isolation test-side degradation reference data jointly defined by the peak attenuation characteristic parameter, the preset reference temperature and humidity conditions, the equipment type, the sampling aperture, and the accelerated aging test record, which is used to correspond with the target leakage current characteristic on the operating site side in subsequent feature alignment processing. Since the target leakage current characteristic quantity comes from the operating power equipment, and the accelerated aging index comes from the accelerated aging test of the sample power equipment in the isolated test environment, by matching the equipment type and the sampling caliber before buffering, the accelerated aging index and the target leakage current characteristic quantity can maintain a corresponding relationship in terms of equipment category and data expression caliber, thereby providing an isolated test basis for subsequently establishing the insulation degradation evolution benchmark of the power equipment.

[0036] Optionally, the step of performing feature alignment processing between the accelerated aging index under the isolated test environment and the target leakage current characteristic quantity to establish the insulation degradation evolution benchmark of the power equipment includes: reading the peak attenuation characteristic parameter, test time node, and benchmark temperature and humidity conditions in the accelerated aging index, and reading the core waveform segment, sampling time identifier, and frequency sub-band identifier in the target leakage current characteristic quantity; converting the peak attenuation characteristic parameter into a first degradation distribution description parameter and the core waveform segment into a second degradation distribution description parameter according to a preset feature aperture conversion rule; and based on the test time node, the sampling time identifier, and the frequency sub-band identifier... The first degradation distribution description parameter and the second degradation distribution description parameter are processed to correspond to a time scale, generating a candidate feature correspondence. Based on the candidate feature correspondence, the first degradation distribution description parameter is transformed until the difference between the transformed first degradation distribution description parameter and the second degradation distribution description parameter falls within a preset tolerance range. The candidate feature correspondence, the peak attenuation feature parameter, and the core waveform segment corresponding to the parameter falling within the preset tolerance range are bound together to generate the insulation degradation evolution benchmark used to characterize the degradation correspondence between the accelerated aging index and the target leakage current feature quantity.

[0037] Preferably, the specific implementation process of the step "reading the peak attenuation characteristic parameter, test time node, and reference temperature and humidity conditions in the accelerated aging index, and reading the core waveform segment, sampling time identifier, and frequency sub-band identifier in the target leakage current characteristic quantity" is as follows: After the accelerated aging index is cached, the peak attenuation characteristic parameter, the test time node, and the reference temperature and humidity conditions are first read from the accelerated aging index, and an isolated test side reading record is established; the isolated test side reading record is used to carry the source correspondence between the peak attenuation characteristic parameter, the test time node, and the reference temperature and humidity conditions, so that the peak attenuation characteristic parameter can point back to its degradation amplitude source, the test time node can point back to its test progress source, and the reference temperature and humidity conditions can point back to its test environment source. Subsequently, the core waveform segment, the sampling time identifier, and the frequency sub-band identifier are read from the target leakage current characteristic quantity, and an on-site reading record is established. This on-site reading record carries the source correspondence between the core waveform segment, the sampling time identifier, and the frequency sub-band identifier, enabling the core waveform segment to point back to its on-site waveform source, the sampling time identifier to point back to its on-site time source, and the frequency sub-band identifier to point back to its on-site frequency source. The isolation test-side reading record and the on-site reading record are then processed together in subsequent feature alignment, ensuring a traceable correspondence between the peak attenuation characteristic parameter, the test time node, and the reference temperature and humidity conditions in the accelerated aging index, and the core waveform segment, sampling time identifier, and frequency sub-band identifier in the target leakage current characteristic quantity, at the data processing entry point.

[0038] Preferably, the specific implementation process of the step "converting the peak attenuation characteristic parameter into a first degradation distribution description parameter and converting the core waveform segment into a second degradation distribution description parameter according to the preset characteristic aperture conversion rules" is as follows: Before performing the characteristic aperture conversion, a characteristic aperture conversion rule configuration record is first established, and the test time node corresponding rule, sampling time identifier corresponding rule, waveform amplitude aperture conversion rule, peak position aperture conversion rule, and frequency sub-band identifier corresponding rule are configured in the characteristic aperture conversion rule configuration record. The source of the feature aperture conversion rule configuration record includes the sampling aperture, the accelerated aging index record, the noise stripping input record, the isolation test side reading record, and the operation site side reading record. Specifically, the sampling aperture is used to define the data sampling methods of the isolation test side and the operation site side; the accelerated aging index record provides source constraints for the peak attenuation characteristic parameters, the test time node, and the reference temperature and humidity conditions; the noise stripping input record provides source constraints for the core waveform segmentation, the sampling time identifier, and the frequency sub-band identifier; the isolation test side reading record provides the reading source for the first degradation distribution description parameter; and the operation site side reading record provides the reading source for the second degradation distribution description parameter. The technical essence of the feature aperture conversion rule is to convert the peak attenuation characteristic parameters from the isolation test side and the core waveform segmentation from the operation site side to a common degradation description aperture. This common degradation description aperture enables data from different sources to be expressed with the same aperture according to time, amplitude, peak position, and frequency sub-band, rather than directly comparing data with different dimensions.

[0039] Preferably, in the specific technical implementation of the step "converting the peak attenuation characteristic parameter into a first degradation distribution description parameter", the test time node is first read according to the test time node corresponding rule in the configuration record according to the characteristic aperture conversion rule. Then, the peak amplitude attenuation degree in the peak attenuation characteristic parameter is converted according to the waveform amplitude aperture conversion rule to form the first amplitude degradation description data. Subsequently, the peak position drift degree in the peak attenuation characteristic parameter is converted according to the peak position aperture conversion rule to form the first peak position description data. Then, the first amplitude degradation description data, the first peak position description data, the test time node, and the reference temperature and humidity conditions are associated and encapsulated to form the first degradation distribution description parameter. The technical essence of the first degradation distribution description parameter is the distributed expression of isolated test-side degradation data under the common degradation description aperture. It is used to describe the degradation distribution state formed by the peak attenuation characteristic parameter of the sample power equipment changing with the test time node under the reference temperature and humidity conditions. Through the first degradation distribution description parameter, the peak attenuation feature parameter, which originally only reflects the peak change in the isolated test environment, is converted into degradation description data that can correspond to the core waveform segment on the operating site side; the first degradation distribution description parameter then enters the time scale correspondence processing, and together with the second degradation distribution description parameter, generates the candidate feature correspondence relationship.

[0040] Preferably, in the specific implementation of the step "converting the core waveform segment into a second degradation distribution description parameter", the sampling time identifier is first read according to the sampling time identifier corresponding rule in the feature aperture conversion rule configuration record, and the position of the core waveform segment in the running field time axis is determined according to the sampling time identifier; then, the amplitude envelope change in the core waveform segment is processed by amplitude aperture conversion according to the waveform amplitude aperture conversion rule to form second amplitude degradation description data; then, the frequency sub-band identifier is read according to the frequency sub-band identifier corresponding rule, and the second amplitude degradation description data is associated with the frequency sub-band identifier to form second frequency distribution description data; finally, the second amplitude degradation description data, the second frequency distribution description data, the sampling time identifier, and the source relationship of the core waveform segment are encapsulated by field association to form the second degradation distribution description parameter. The core waveform segment source relationship originates from the correlation between the time-series waveform data in the target leakage current characteristic quantity and the source position of the core waveform segment. This core waveform segment source relationship enables the second degradation distribution description parameter to refer back to the field waveform source of the core waveform segment. The technical essence of the second degradation distribution description parameter is the distributed expression of the waveform data from the operating field under the common degradation description caliber. It describes the degradation distribution state of the core waveform segment as the sampling time identifier and the frequency sub-band identifier change during the operation of the power equipment. Therefore, the core waveform segment no longer exists merely as a waveform segment after filtering out electromagnetic interference components, but instead enters subsequent time-scale corresponding processing through the second degradation distribution description parameter, and together with the first degradation distribution description parameter, generates the candidate feature correspondence relationship.

[0041] Preferably, the specific implementation process of the step "performing time-scale correspondence processing on the first degradation distribution description parameter and the second degradation distribution description parameter according to the test time node, the sampling time identifier, and the frequency sub-band identifier to generate candidate feature correspondence" is as follows: First, according to the test time node correspondence rules in the feature caliber conversion rule configuration record, the test time node in the first degradation distribution description parameter is converted into an isolation test-side degradation stage identifier; then, according to the sampling time identifier correspondence rules, the sampling time identifier in the second degradation distribution description parameter is converted into an operational site-side observation stage identifier; subsequently, the isolation test-side degradation stage identifier and the operational site-side observation stage identifier are subjected to time-scale correspondence processing to determine the stage correspondence position between the first degradation distribution description parameter and the second degradation distribution description parameter. The technical essence of the degradation stage identifier on the isolation test side is the staged expression of the degradation stage of the first degradation distribution description parameter in the isolation test environment. The technical essence of the observation stage identifier on the operation site side is the staged expression of the observation stage of the second degradation distribution description parameter in the sampling time axis of the operation site. The corresponding stage position is used to define the corresponding positions of the first and second degradation distribution description parameters under the same degradation stage caliber. The technical essence of the time scale correspondence processing is to stage-correspond the compressed aging time process in the isolation test environment with the observation time process formed according to the actual sampling time in the operation site, rather than directly comparing the test time node and the sampling time identifier as the same time quantity. Through the time scale correspondence processing, the first and second degradation distribution description parameters can enter the subsequent correspondence generation process under the same degradation stage caliber.

[0042] Preferably, in the specific technical implementation of the step "generating candidate feature correspondence", after determining the corresponding position of the stage, the frequency sub-band identifier is read, and the second frequency distribution description data in the second degradation distribution description parameter is limited to the corresponding frequency sub-band range according to the frequency sub-band identifier; subsequently, the first amplitude degradation description data and the first peak position description data in the first degradation distribution description parameter are associated with the second amplitude degradation description data and the second frequency distribution description data in the second degradation distribution description parameter in the same stage to form the candidate feature correspondence. The technical essence of the candidate feature correspondence is a candidate mapping relationship between the degradation distribution state on the isolation test side and the degradation distribution state on the operation site side, which includes the correspondence between the test time node, the sampling time identifier, the frequency sub-band identifier, the first degradation distribution description parameter, and the second degradation distribution description parameter. The candidate feature correspondence is not directly used as the insulation degradation evolution benchmark, but as the input object for subsequent feature transformation processing. It is used to determine whether the first degradation distribution description parameter can form a usable degradation correspondence with the second degradation distribution description parameter through caliber adjustment. When the candidate feature correspondence falls within the preset tolerance range, it continues to participate in the binding process to form the insulation degradation evolution benchmark.

[0043] Preferably, the specific implementation process of step "performing feature transformation processing on the first degradation distribution description parameter based on the candidate feature correspondence" is as follows: First, read the first degradation distribution description parameter and the second degradation distribution description parameter in the candidate feature correspondence, and establish a transformation constraint record according to the reference temperature and humidity conditions and the frequency sub-band identifier; the transformation constraint record is used to carry the environmental and frequency differences between the degradation distribution state on the isolation test side and the degradation distribution state on the operating site side. The environmental difference comes from the difference between the reference temperature and humidity conditions and the data generation conditions on the operating site side, and the frequency difference comes from the frequency range on the operating site side defined by the frequency sub-band identifier. Subsequently, according to the transformation constraint record, perform amplitude scale adjustment processing on the first amplitude degradation description data in the first degradation distribution description parameter, and perform peak position scale adjustment processing on the first peak position description data in the first degradation distribution description parameter to form the transformed first degradation distribution description parameter. The transformation constraint record continues to participate in the same-aperture difference indexing process after the amplitude scale adjustment process and the peak position scale adjustment process, so that the transformed first degradation distribution description parameter can be judged against the second degradation distribution description parameter under the same time scale, the same amplitude aperture, and the same frequency sub-band aperture. The technical essence of the feature transformation process is to perform field aperture adaptation on the degradation distribution state on the isolated test side, so that the transformed first degradation distribution description parameter can be judged against the second degradation distribution description parameter under the same time scale, the same amplitude aperture, and the same frequency sub-band aperture.

[0044] Preferably, in the specific technical implementation of the step "until the difference between the converted first degradation distribution description parameter and the second degradation distribution description parameter falls within a preset tolerance range", the converted first degradation distribution description parameter and the second degradation distribution description parameter are first subjected to same-caliber difference indexing processing to form degradation distribution difference indexing results. The degradation distribution difference indexing results are used to characterize the degree of deviation between the converted first degradation distribution description parameter and the second degradation distribution description parameter in terms of degradation stage, amplitude change, peak position change, and frequency sub-band distribution; the technical essence of the degradation distribution difference indexing results is not a single numerical value, but a structured description of the same-caliber deviation between the degradation distribution state on the isolation test side and the degradation distribution state on the operating site side. Subsequently, the degradation distribution difference indexing result is matched with the preset tolerance range. If the degradation distribution difference indexing result does not fall within the preset tolerance range, feature transformation processing is continued on the first degradation distribution description parameter according to the transformation constraint record. If the degradation distribution difference indexing result falls within the preset tolerance range, the candidate feature correspondence corresponding to the degradation distribution difference indexing result is retained as the candidate feature correspondence falling within the preset tolerance range. The candidate feature correspondence falling within the preset tolerance range continues to enter the binding process so that the difference determination result of the degradation distribution difference indexing result can participate in the formation process of the insulation degradation evolution benchmark.

[0045] Preferably, in the specific implementation of the step "preset tolerance range", a preset tolerance range configuration record is first established, and the preset tolerance range is configured according to the sampling aperture, the equipment type, the reference temperature and humidity conditions, and the frequency sub-band identifier. The sampling aperture is used to limit the data expression method used for difference judgment, the equipment type is used to limit the category of power equipment applicable to difference judgment, the reference temperature and humidity conditions are used to limit the environmental source of the data on the isolation test side, and the frequency sub-band identifier is used to limit the frequency source of the data on the operating site side. The technical essence of the preset tolerance range is to allow a reasonable difference in the data judgment boundary between the degradation distribution state on the isolation test side and the degradation distribution state on the operating site side. This is used to avoid misjudging data generation conditions that cannot be completely identical between the isolation test environment and the operating site as degradation mismatch. The preset tolerance range configuration record continues to serve as the source of determination for the insulation degradation evolution benchmark in subsequent binding processes, enabling the insulation degradation evolution benchmark to refer back to the configuration basis of the preset tolerance range; the preset tolerance range configuration record also establishes a correspondence with the degradation distribution difference indexing result to mark the data determination boundary on which the candidate feature correspondence falls within the preset tolerance range.

[0046] Preferably, the specific implementation process of the step "binding the candidate feature correspondence, the peak attenuation feature parameter, and the core waveform segment corresponding to the preset tolerance range" is as follows: First, read the candidate feature correspondence falling within the preset tolerance range, and then backreference the peak attenuation feature parameter and the core waveform segment according to the candidate feature correspondence; subsequently, establish an evolution benchmark carrying record, and associate the candidate feature correspondence, the peak attenuation feature parameter, the core waveform segment, the test time node, the sampling time identifier, the frequency sub-band identifier, the degradation distribution difference indexing result, and the preset tolerance range configuration record into the evolution benchmark carrying record; then, perform degradation correspondence encapsulation processing based on the evolution benchmark carrying record to form the insulation degradation evolution benchmark. The degradation correspondence encapsulation processing is used to organize the candidate feature correspondence, the peak attenuation feature parameter, the core waveform segment, the degradation distribution difference indexing result, and the preset tolerance range configuration record in the evolution benchmark carrying record into a degradation evolution basis that can be called upon in subsequent time-dependent deductions. The essence of the binding process is to combine the peak attenuation characteristic parameters of the isolated test side, the core waveform segments of the operation site side, and the candidate feature correspondence between the two into a degradation evolution basis that can be called upon in subsequent time-lapse simulations, rather than directly applying single laboratory aging data to the waveform data of the operation site side.

[0047] Preferably, in the specific implementation of the step "generating the insulation degradation evolution benchmark for characterizing the degradation correspondence between the accelerated aging index and the target leakage current characteristic quantity", the degradation correspondence is formed through the binding process between the candidate feature correspondence, the peak attenuation characteristic parameter, the core waveform segmentation, the degradation distribution difference indexing result, and the preset tolerance range configuration record. The technical essence of the degradation correspondence is the stage correspondence between the insulation degradation state on the isolation test side characterized by the accelerated aging index and the insulation degradation state on the operating field side characterized by the target leakage current characteristic quantity; the degradation correspondence includes the degradation stage corresponding to the peak attenuation characteristic parameter, the field observation stage corresponding to the core waveform segmentation, the field frequency range corresponding to the frequency sub-band identifier, and the difference judgment boundary corresponding to the preset tolerance range. The technical essence of the insulation degradation evolution benchmark is the insulation degradation deduction basis encapsulated by the degradation correspondence. It then enters the processing of the remaining insulation aging prediction value based on the insulation degradation evolution benchmark, so that the remaining insulation aging prediction value no longer depends solely on the fixed threshold exceeding the limit result, but comes from the degradation evolution basis after feature alignment processing between the accelerated aging index and the target leakage current characteristic quantity.

[0048] Optionally, the step of extrapolating the remaining insulation aging prediction value based on the insulation degradation evolution benchmark includes: reading the feature correspondence mapping relationship, degradation time scale, and insulation health attenuation benchmark in the insulation degradation evolution benchmark; mapping the target leakage current feature quantity to the current degradation state node in the insulation health attenuation benchmark according to the feature correspondence mapping relationship; configuring degradation trend extrapolation rules based on the current degradation state node and the degradation time scale; performing recursive processing on the insulation degradation state corresponding to the target leakage current feature quantity according to the degradation trend extrapolation rules and a preset time step to output multiple extrapolated state node information; performing sequence descent detection processing on the insulation health value in each extrapolated state node information to determine the target extrapolated state node corresponding to when the insulation health value reaches a preset critical breakdown value; extracting the time span between the current time and the extrapolation time point corresponding to the target extrapolated state node, and using the time span as the remaining insulation aging prediction value.

[0049] Preferably, the specific implementation process of the step "reading the feature correspondence mapping relationship, degradation time scale, and insulation health attenuation benchmark in the insulation degradation evolution benchmark" is as follows: After the insulation degradation evolution benchmark is formed, the degradation correspondence relationship in the insulation degradation evolution benchmark is read first, and the feature correspondence mapping relationship, the degradation time scale, and the insulation health attenuation benchmark are extracted according to the degradation correspondence relationship. The feature correspondence mapping relationship comes from the candidate feature correspondence relationship that falls within the preset tolerance range, and it is used to carry the correspondence between the peak attenuation feature parameter and the core waveform segment, so that the target leakage current feature quantity can point back to the degradation stage in the isolation test environment. The degradation time scale comes from the time scale correspondence processing between the test time node and the sampling time identifier, and it is used to characterize the stage conversion relationship between the accelerated aging process in the isolation test environment and the sampling observation process in the operating field. The insulation health attenuation benchmark is derived from the binding process between the peak attenuation characteristic parameters, the first degradation distribution description parameters, the second degradation distribution description parameters, and the degradation distribution difference indexing results. It is used to characterize the benchmark change path of insulation state attenuation as the degradation stage progresses. Through the above reading process, the feature-correspondence mapping relationship, the degradation timescale, and the insulation health attenuation benchmark are not independent data, but rather jointly derived from the insulation degradation evolution benchmark and jointly enter the subsequent current degradation state node determination process.

[0050] Preferably, the specific implementation process of the step "corresponding the target leakage current feature quantity to the current degradation state node in the insulation health attenuation benchmark according to the feature correspondence mapping relationship" is as follows: First, read the time-series waveform data, the core waveform segment, the sampling time identifier, and the source relationship of the core waveform segment in the target leakage current feature quantity, and determine the field waveform source of the core waveform segment in the time-series waveform data according to the source relationship of the core waveform segment; then, according to the feature correspondence mapping relationship, process the core waveform segment with the peak attenuation feature parameter to determine the degradation stage position of the core waveform segment in the insulation health attenuation benchmark; then, combined with the sampling time identifier, locate the degradation stage position as the current degradation state node in the insulation health attenuation benchmark. The technical essence of the current degradation state node is the insulation degradation stage mark corresponding to the power equipment at the current moment, which is not directly determined by the result of a fixed threshold exceeding the limit, but is jointly determined by the target leakage current feature quantity, the feature correspondence mapping relationship, and the insulation health attenuation benchmark. Through this processing, the target leakage current characteristic quantity is converted from the field waveform data into a staged state in the insulation health degradation benchmark, so that subsequent deductions no longer stop at the current sampling point, but can continue to be deduced from the current degradation state node along the degradation time scale.

[0051] Preferably, in the process of determining the "current degradation state node", the current time is determined based on the sampling time identifier that is most recently entered into the background noise stripping process in the target leakage current feature quantity. Specifically, firstly, multiple sampling time identifiers used to form the time-series waveform data are read from the target leakage current feature quantity. Then, the sampling time identifier at the end position is determined according to the chronological order of the sampling time identifiers, and the time position corresponding to the sampling time identifier at the end position is taken as the current time. Subsequently, based on the core waveform segment corresponding to the current time, the peak attenuation feature parameter corresponding to the core waveform segment is searched in the feature correspondence mapping relationship, and the current degradation state node is determined based on the position of the peak attenuation feature parameter in the insulation health attenuation benchmark. The current degradation state node thus has a clear data source: its time source is the sampling time identifier, its waveform source is the core waveform segment, its degradation stage source is the feature correspondence mapping relationship, and its health source is the insulation health attenuation benchmark. This data source relationship allows the current degradation state node to serve as the starting state for subsequently configuring the degradation trend inference rules.

[0052] Preferably, the specific implementation process of step "configuring degradation trend inference rules based on the current degradation state node and the degradation time scale" is as follows: After determining the current degradation state node, first read the insulation health value, degradation stage position, and sampling time identifier corresponding to the current degradation state node, and then read the stage advancement interval corresponding to the degradation stage position in the degradation time scale; subsequently, write the insulation health value, degradation stage position, sampling time identifier, and stage advancement interval into the degradation trend inference configuration record, and form the degradation trend inference rules based on the degradation trend inference configuration record. The degradation trend inference configuration record is used to carry the recursive configuration relationship between the current degradation state node and the degradation time scale, and provides the initial degradation state and stage advancement interval during subsequent recursive processing. The technical essence of the degradation trend inference rules is to limit the data processing rules for state recursion from the current degradation state node to the subsequent degradation stage, which includes the initial degradation state, stage advancement interval, insulation health attenuation direction, insulation health attenuation magnitude constraint, and recursive stopping condition. The initial degradation state originates from the current degradation state node, the stage advancement interval originates from the degradation time scale, the insulation health decay direction and the insulation health decay magnitude constraints originate from the insulation health decay benchmark, and the recursive stopping condition is used to determine whether subsequent simulations have reached a preset critical breakdown value. Therefore, the degradation trend simulation rule is not a pre-fixed universal lifetime curve, but rather is formed by the joint configuration of the current degradation state node and the degradation time scale.

[0053] Preferably, in the specific implementation of the step "preset time step", the preset time step is pre-configured based on the degradation time scale, the sampling aperture, and the matching spare parts cycle parameters. Specifically, firstly, the stage advancement interval between insulation degradation stages is determined according to the degradation time scale; then, the sampling time resolution of the target leakage current characteristic quantity at the operating site is determined according to the sampling aperture; and finally, the maintenance orchestration time granularity required for subsequent maintenance project initiation guidance is determined according to the matching spare parts cycle parameters. Subsequently, the stage advancement interval, the sampling time resolution, and the maintenance orchestration time granularity are subjected to time granularity adaptation processing to form the preset time step. The sampling time resolution is derived from the sampling aperture and is used to limit the on-site sampling time accuracy of the target leakage current characteristic quantity; the maintenance orchestration time granularity is derived from the matching spare parts cycle parameters and is used to limit the time orchestration accuracy corresponding to the subsequent maintenance project initiation guidance data packet; the sampling time resolution and the maintenance orchestration time granularity jointly participate in the time granularity adaptation processing, so that the preset time step can simultaneously adapt to the on-site sampling data and the subsequent maintenance project initiation guidance data. The technical essence of the preset time step is the time progression unit used when the degradation trend inference rule is executed recursively. It cannot solely depend on the sampling frequency or the test time nodes in accelerated aging testing; rather, it needs to adapt to the data granularity of both insulation degradation inference and subsequent maintenance project guidance. Through this configuration, multiple subsequent inference state node information can be arranged continuously according to the same preset time step, providing a temporal basis for subsequently determining the target inference state node.

[0054] Preferably, the specific implementation process of the step "according to the degradation trend deduction rule and the preset time step, perform recursive processing on the insulation degradation state corresponding to the target leakage current characteristic quantity to output multiple deduction state node information" is as follows: First, take the current degradation state node as the recursive starting node, and take the insulation health value corresponding to the current degradation state node as the recursive starting health value; the recursive starting health value is used as the previous state health value during the first recursive processing. Subsequently, according to the preset time step, advance step by step along the degradation time scale. Each time, according to the insulation health decay direction and insulation health decay amplitude constraints in the degradation trend deduction rule, perform recursive processing on the insulation health value in the previous deduction state node information to form the next deduction state node information; during the first recursive processing, the recursive starting health value is used as the insulation health value in the previous deduction state node information to participate in the recursive processing. Each of the projected state node information includes at least a projected sequence identifier, a projected time point, an insulation health value, the corresponding degradation stage position, and a source state node identifier. The projected sequence identifier indicates the sequential position of the projected state node information in the recursive sequence; the projected time point indicates the future time position corresponding to that projected state node information; and the source state node identifier refers back to the previous projected state node information or the current degradation state node, and marks the recursive source relationship between adjacent projected state node information when the projected state node sequence is subsequently formed. There are multiple projected state node information because the remaining insulation aging prediction value is not a single comparison result, but needs to be progressively advanced along the degradation time scale from the current degradation state node until the insulation health value reaches the preset critical breakdown value. Multiple projected state node information collectively express the future evolution process of the insulation degradation state.

[0055] Preferably, the process for determining the insulation health value in the step "deduced state node information" is as follows: During each recursive processing step, the insulation health value in the previous deduced state node information is first read. If this recursive processing step is the first recursive processing step, the recursive starting health value corresponding to the current degraded state node is read. Subsequently, the health decay amount corresponding to the current recursive stage is determined according to the insulation health decay benchmark, and the insulation health value in the previous deduced state node information or the recursive starting health value is updated based on the health decay amount to form the insulation health value in the current deduced state node information. The health decay amount originates from the insulation health decay benchmark and is used to represent the magnitude of the state change of the insulation health value along the insulation health decay direction in the current recursive stage. The health decay amount continues to participate in each subsequent recursive processing step, enabling the insulation health value in each deduced state node information to change along the same insulation health decay benchmark. The technical essence of the insulation health value is a state quantity used to characterize the degree of degradation of the insulation state of the power equipment relative to the insulation health degradation benchmark. It is neither the leakage current amplitude itself, nor the peak attenuation characteristic parameter itself, but rather a state characterization result formed by mapping the target leakage current characteristic quantity to the insulation health degradation benchmark through the characteristic correspondence mapping relationship. The insulation health value participates in subsequent sequence decline detection processing, enabling the information of each deduced state node to be compared and filtered according to the direction of insulation state degradation.

[0056] Preferably, the specific implementation process of the step "performing sequence decline detection processing on the insulation health values ​​in each of the deduced state node information" is as follows: First, the multiple deduced state node information is sequentially arranged according to the deduced order identifier to form a deduced state node sequence; then, the insulation health value in each of the deduced state node information is sequentially read from the deduced state node sequence, and the insulation health values ​​in two adjacent deduced state node information are subjected to decline trend indexing processing to form an insulation health decline indexing record. The deduced state node sequence is used to carry the temporal arrangement relationship between the multiple deduced state node information and the recursive source relationship corresponding to the source state node identifier. The deduced state node sequence is subsequently used as the detection object for locating the target deduced state node. The technical essence of the sequence decline detection processing is to perform ordered detection on the insulation health values ​​in the multiple deduced state node information to identify whether the insulation health values ​​continuously approach the preset critical breakdown value along the degradation time scale. The insulation health degradation indexing record is used to carry the relationship between the insulation health value changes between each adjacent inferred state node information, and is used for subsequent location of the target inferred state node. Through the sequence degradation detection processing, it is possible to avoid making isolated judgments on only a single inferred state node information, but to determine the time position when the insulation degradation reaches the critical state from the continuous change relationship of the inferred state node sequence.

[0057] Preferably, in the specific implementation of the step "preset critical breakdown value", a critical breakdown value configuration record is first established, and the preset critical breakdown value is configured according to the equipment type, the insulation material category, the rated voltage level, and the operating safety boundary conditions. The equipment type is used to limit the category of power equipment to which the preset critical breakdown value applies; the insulation material category is used to limit the response mode of insulation degradation to changes in leakage current waveform; the rated voltage level is used to limit the operating pressure range corresponding to the insulation state; and the operating safety boundary conditions are used to limit the lower limit of the health of the power equipment before it enters a state of unsustainable operation. The technical essence of the preset critical breakdown value is the critical judgment boundary corresponding to the insulation health value, which is used to locate the deduced node in the deduced state node sequence where the insulation state of the power equipment reaches a state of unsustainable operation. The critical breakdown value configuration record continues to participate in the determination when subsequently determining the target deduced state node, enabling the target deduced state node to point back to the configuration source of the preset critical breakdown value.

[0058] Preferably, the specific implementation process of step "determining the target deduced state node corresponding to the insulation health value reaching the preset critical breakdown value" is as follows: After forming the insulation health decline index record, the deduced state node information in the deduced state node sequence is read sequentially according to the deduced order identifier, and the insulation health value in each deduced state node information is matched with the preset critical breakdown value; when the insulation health value in a certain deduced state node information reaches the preset critical breakdown value, the deduced state node information is determined as the target deduced state node. If the preset critical breakdown value is crossed between two adjacent deduced state node information, interval positioning processing is performed according to the deduced time point and insulation health value corresponding to each of the two adjacent deduced state node information, and the node corresponding to the preset critical breakdown value after interval positioning processing is determined as the target deduced state node. The technical essence of the target projected state node is the insulation degradation state node in the projected state node sequence that first reaches or crosses the preset critical breakdown value. It serves to provide a termination time position for the subsequent extraction of the remaining insulation aging prediction value. The target projected state node also establishes a correspondence with the critical breakdown value configuration record, the insulation health decline index record, and the projected state node sequence, so that the determination source of the target projected state node can be included in the subsequent aging prediction result record.

[0059] Preferably, the specific implementation process of the step "extracting the time span between the current moment and the prediction time point corresponding to the target prediction state node, and using the time span as the remaining insulation aging prediction value" is as follows: First, determine the current moment based on the sampling time identifier at the end position of the target leakage current characteristic quantity, and write the current moment into the aging prediction start point record; then, read the prediction time point from the target prediction state node, and write the prediction time point into the aging prediction end point record; then, perform time span extraction processing based on the aging prediction start point record and the aging prediction end point record to form the time span, and use the time span as the remaining insulation aging prediction value. The aging prediction start point record is used to carry the current moment and its corresponding sampling time identifier, and the aging prediction end point record is used to carry the prediction time point and its corresponding target prediction state node; the aging prediction start point record and the aging prediction end point record together define the start and end sources of the time span. The technical essence of the predicted time point is the future time position corresponding to when the target predicted state node reaches the preset critical breakdown value recursively along the degradation time scale. It originates from the recursive time position jointly determined by the preset time step and the predicted sequence identifier. The technical essence of the time span is a description of the available insulation duration from the current moment to the predicted time point. After being used as the predicted remaining insulation aging value, it continues to enter the subsequent processing process for comparison with the time window determined by the matching spare parts cycle parameters.

[0060] Preferably, in the specific technical implementation of the step "using the time span as the predicted value of remaining insulation aging", after the predicted value of remaining insulation aging is formed, the predicted value of remaining insulation aging is associated with the current degradation state node, the target deduced state node, the deduced time point, the preset critical breakdown value, and the insulation degradation evolution benchmark to generate an aging prediction result record. The aging prediction result record is used to carry the starting point source, ending point source, degradation state source, and critical judgment source of the predicted value of remaining insulation aging, so that the predicted value of remaining insulation aging can refer back to the target leakage current characteristic quantity, the insulation degradation evolution benchmark, and the deduced state node sequence. Through this processing, the predicted value of remaining insulation aging is not a predicted value of remaining insulation aging directly generated from the result of a fixed threshold exceeding the limit, but rather the time span extracted after the current degradation state node is recursively extrapolated along the degradation time scale to the target deduced state node. The timeliness prediction results are recorded in the subsequent operation and maintenance trigger instruction generation process, so that the remaining insulation timeliness prediction value can be compared with the time window determined by the matching spare parts cycle parameters, thereby providing a time-side input basis for operation and maintenance project initiation guidance.

[0061] Optionally, when confirming that the predicted remaining insulation aging value falls within the time window determined based on the matching spare parts cycle parameters, generating an operation and maintenance trigger instruction includes: reading the spare parts model matching field, spare parts supply response time, inventory transfer time, and supply chain node identifier in the matching spare parts cycle parameters; reading the geographical location information of the deployment area of ​​the power equipment, and determining the first duration span required for the logistics transportation of replacement materials based on the geographical location information of the deployment area, the supply chain node identifier, and the inventory transfer time; reading the pre-approval rules of the site environment where the power equipment is located, and determining the second duration span required for the deployment of the site environment based on the pre-approval rules; and following the spare parts supply stage and inventory transfer stage... The timing relationship between the logistics and transportation stage and the pre-approval stage is determined. The stage duration cascading configuration of the spare parts supply response time, the first duration span, and the second duration span is processed to generate a comprehensive time span corresponding to the matching spare parts cycle parameters. The comprehensive time span is extended according to preset margin parameters to generate the time window used to trigger the operation and maintenance project initiation judgment. When the remaining insulation time-efficiency prediction value is confirmed to be less than or equal to the window duration corresponding to the time window, an operation and maintenance trigger instruction carrying the equipment identifier of the power equipment, the remaining insulation time-efficiency prediction value, the matching spare parts cycle parameters, and the time window is generated. The operation and maintenance trigger instruction is distributed to the operation and maintenance control bus.

[0062] Preferably, the specific implementation process of the step "reading the spare part model matching field, spare part supply response time, inventory transfer time and supply chain node identifier in the matching spare part cycle parameters" is as follows: After the remaining insulation aging prediction value is formed, first read the equipment identifier, equipment type identifier, voltage level identifier and installation position status identifier corresponding to the power equipment, and retrieve the matching spare part cycle parameters based on the equipment identifier, equipment type identifier, voltage level identifier and installation position status identifier; then, read the spare part model matching field, spare part supply response time, inventory transfer time and supply chain node identifier from the matching spare part cycle parameters, and write the spare part model matching field, spare part supply response time, inventory transfer time and supply chain node identifier into the cycle parameter reading record. The cycle parameter reading record is used to carry the field source for the matching spare parts cycle parameter entering the subsequent time window determination process. This allows the spare parts model matching field to determine whether the matching spare parts cycle parameter corresponds to the power equipment, the spare parts supply response time to limit the time required for the spare parts supply phase, the inventory transfer time to limit the time required for the inventory transfer phase, and the supply chain node identifier to limit the starting node source for the logistics and transportation phase. The cycle parameter reading record subsequently enters the first duration span determination process, the comprehensive timeliness span generation process, and the maintenance trigger instruction generation process, ensuring that the spare parts model matching field, the spare parts supply response time, the inventory transfer time, and the supply chain node identifier all participate in the formation of the time window.

[0063] Preferably, in the specific technical implementation of the step "reading the spare part model matching field in the matching spare part cycle parameters", the spare part model matching field includes a spare part model code, an compatible equipment type code, a voltage level compatibility code, an installation interface compatibility code, and a replacement relationship status code. The technical essence of the spare part model matching field is a combination of fields used to establish a data compatibility relationship between the power equipment and the replacement material. The replacement material is a spare part that can replace the corresponding hardware component of the power equipment after the compatibility verification is completed through the spare part model matching field. Therefore, the spare part model matching field is not merely a spare part name record, but is used to exclude matching spare part cycle parameters that are incompatible with the power equipment before the time window calculation. Specifically, the process first maps the equipment type identifier of the power equipment to the compatible equipment type code, then maps the voltage level identifier of the power equipment to the voltage level compatibility code, and finally maps the installation position status identifier of the power equipment to the installation interface compatibility code to generate a spare parts compatibility verification result. Subsequently, the spare parts compatibility verification result is written into the periodic parameter read record, and the spare parts compatibility verification result participates in the generation of subsequent maintenance trigger instructions. Therefore, the spare parts model matching field is not an isolated field, but rather a prerequisite for limiting the matching spare parts periodic parameters to enter the subsequent time window determination process. After the spare parts compatibility verification result is completed, the replacement materials continue to participate in the time determination processes of the inventory allocation stage, logistics transportation stage, and pre-approval stage.

[0064] Preferably, in the specific implementation of the step "reading the spare parts supply response time in the matching spare parts cycle parameters", the spare parts supply response time is pre-configured based on the spare parts model code corresponding to the spare parts model matching field, the node processing status corresponding to the supply chain node identifier, and the historical response records of the spare parts supply stage. The node processing status is derived from the node operation record corresponding to the supply chain node identifier, and is used to indicate whether the spare parts source node corresponding to the supply chain node identifier can currently enter the spare parts supply stage; the historical response records of the spare parts supply stage are derived from the supply stage time records formed in the historical execution feedback records for the same spare parts model code, and are used to provide historical time basis for the spare parts supply response time. The technical essence of the spare parts supply response time is the supply preparation time required from confirming that the spare parts model matching field is compatible with the power equipment to the time before the replacement materials can enter the inventory allocation stage, which is used to represent the duration occupied by the spare parts supply stage in the total time chain. The spare parts supply response time is written into the cycle parameter reading record after being read, and is used as the time input for the spare parts supply stage in the subsequent stage duration cascading configuration processing; at the same time, the spare parts supply response time is established in correspondence with the spare parts adaptation verification result, so that the subsequently generated operation and maintenance triggering command can refer back to the time source related to the spare parts supply stage in the matching spare parts cycle parameter.

[0065] Preferably, in the specific implementation of the step "reading the inventory transfer duration and supply chain node identifier in the matching spare parts cycle parameters", the inventory transfer duration is pre-configured based on the inventory node processing record corresponding to the supply chain node identifier, the spare parts inventory status corresponding to the spare parts model matching field, and the historical transfer records of the inventory transfer stage. The inventory node processing record originates from the spare parts source node corresponding to the supply chain node identifier and is used to carry the positioning status, outbound preparation status, and node handover status of the replacement material in the inventory node; the spare parts inventory status originates from the spare parts inventory record corresponding to the spare parts model matching field and is used to determine whether the replacement material can enter the inventory transfer stage; the historical transfer records of the inventory transfer stage originate from the transfer stage time record corresponding to the same spare parts model code in the historical execution feedback record. The technical essence of the inventory transfer duration is the time required for inventory positioning, outbound preparation, and node handover before the replacement material enters the logistics transportation stage from the inventory node corresponding to the supply chain node identifier. The technical essence of the supply chain node identifier is a data identifier used to locate the spare parts source node, which is used to establish a correlation between the inventory transfer duration and the logistics starting position required to subsequently determine the first duration span. After reading the inventory transfer duration and the supply chain node identifier, the inventory transfer duration and the supply chain node identifier are written into the periodic parameter reading record, and the supply chain node identifier is further passed to the time determination process of the logistics transportation stage, so that the first duration span can be formed according to the supply chain node identifier and the geographical location information of the deployment area of ​​the power equipment.

[0066] Preferably, the specific implementation process of the step "reading the geographical location information of the deployment area of ​​the power equipment, and determining the first duration span required for the logistics transportation of replacement materials based on the geographical location information of the deployment area, the supply chain node identifier, and the inventory transfer duration" is as follows: First, the geographical location information of the deployment area of ​​the power equipment is read, and the geographical location information of the deployment area is processed by location encoding to form a deployment area location code; the technical essence of the geographical location information of the deployment area is to characterize the spatial location data of the operating site where the power equipment is located, which is used to determine the transportation destination of the replacement materials to the operating site where the power equipment is located. Subsequently, the corresponding supply chain node location code is read according to the supply chain node identifier, and the supply chain node location code is matched with the deployment area location code by path time to generate a logistics path time record; the supply chain node location code comes from the spare parts source node corresponding to the supply chain node identifier, the deployment area location code comes from the geographical location information of the deployment area, and the logistics path time record is used to carry the transportation time source from the spare parts source node corresponding to the supply chain node identifier to the operating site corresponding to the geographical location information of the deployment area. Then, the transportation occupancy duration in the logistics path time record is time-connected with the inventory transfer duration to determine the first duration span. The technical essence of the first duration span is the logistics and transportation duration required from the end of the inventory allocation phase to the arrival of the replacement materials at the operating site of the power equipment. It is simultaneously constrained by the supply chain node identifier, the geographical location information of the deployment area, and the inventory allocation duration.

[0067] Preferably, in the specific technical implementation of the step "determining the first duration span required for the logistics transportation of replacement materials", the first duration span is not a single time value obtained by simply converting the geographical location information of the deployment area with the supply chain node identifier. Instead, the transportation starting point is first determined by the supply chain node identifier, the transportation destination is determined by the geographical location information of the deployment area, and the starting time position of the replacement materials entering the transportation state is determined based on the inventory transfer duration. Therefore, the inventory transfer duration is not just a pre-read field, but a condition for determining the starting point of the first duration span; the supply chain node identifier is not just a node name, but a location for locating the transportation starting point; and the geographical location information of the deployment area is not just a location description, but a location for locating the transportation destination. After path time matching processing based on the transportation starting point, the transportation destination, and the starting time position, the matched transportation occupancy duration is associated with the starting time position to generate the first duration span. The first duration span then enters the stage duration cascading configuration processing and participates in the formation of the comprehensive timeliness span together with the spare parts supply response duration, the inventory transfer duration, and the second duration span.

[0068] Preferably, the specific implementation process of the step "reading the pre-approval rules of the on-site environment where the power equipment is located, and determining the second duration span required for on-site environment deployment based on the pre-approval rules" is as follows: First, read the on-site environment type identifier, power outage isolation requirement identifier, work window constraint identifier, and installation position status identifier corresponding to the on-site environment where the power equipment is located, and configure the pre-approval rules based on the on-site environment type identifier, the power outage isolation requirement identifier, the work window constraint identifier, and the installation position status identifier. The on-site environment where the power equipment is located and the operating site where the power equipment is located are different descriptive dimensions of the same deployment object. The operating site where the power equipment is located is used to represent the spatial arrival location, and the on-site environment where the power equipment is located is used to represent the environmental state before installation and deployment. The technical essence of the pre-approval rules is a data rule used to limit the pre-confirmation items that need to be executed after the replacement materials arrive at the operating site where the power equipment is located and before the on-site environment where the power equipment is located has the conditions for installation and deployment. It does not involve non-technical approval content, but rather focuses on data-driven constraints on whether the on-site environment where the power equipment is located can enter a safe deployment state. Subsequently, according to the pre-approval rules, the environmental confirmation time placeholders corresponding to the site environment type identifier, the power outage isolation confirmation time placeholders corresponding to the power outage isolation requirement identifier, the work window waiting time placeholders corresponding to the work window constraint identifier, and the installation position confirmation time placeholders corresponding to the installation position status identifier are read, and the above time placeholders are processed by stage sequence encoding to form the second duration span. The technical essence of the second duration span is the pre-environmental duration required for the site environment where the power equipment is located from receiving the replacement materials to meeting the installation and deployment conditions, and its subsequent entry stage duration is configured in a cascaded manner.

[0069] Preferably, in the specific technical implementation of the step "determining the second duration span required for on-site environment deployment according to the pre-approval rules", the pre-approval rules first read the fields of the on-site environment type identifier, the power outage isolation requirement identifier, the work window constraint identifier, and the installation position status identifier, and then generate a pre-approval stage record based on the field reading results. The pre-approval stage record is used to carry the various time slots corresponding to the pre-approval rules and the sequential relationship between the various time slots. Subsequently, the pre-approval stage cascading processing of the environment confirmation time slot, the power outage isolation confirmation time slot, the work window waiting time slot, and the installation position confirmation time slot is performed according to the pre-approval stage record to form the second duration span. The pre-approval stage cascading processing is used to configure the multiple pre-approval time slots required by the on-site environment where the power equipment is located according to the sequential relationship of being able to enter the installation deployment conditions, rather than directly processing the multiple pre-approval time slots required by the on-site environment where the power equipment is located as parallel times. Through this process, the second duration span can express the time occupancy of the on-site environment where the power equipment is located from an unready state to a deployable state, and provide on-site environmental time basis for the subsequent generation of the time window.

[0070] Preferably, the specific implementation process of the step "according to the temporal connection relationship between the spare parts supply stage, the inventory allocation stage, the logistics transportation stage, and the pre-approval stage, perform stage duration cascading configuration processing on the spare parts supply response time, the first duration span, and the second duration span to generate a comprehensive time span corresponding to the matching spare parts cycle parameters" is as follows: First, establish a stage temporal connection record, and then transcribe the spare parts supply stage, the inventory allocation stage, the logistics transportation stage, and the pre-approval stage according to the replacement material arrival process corresponding to the matching spare parts cycle parameters; wherein, the spare parts supply stage corresponds to the spare parts supply response time, the inventory allocation stage corresponds to the inventory allocation time, the logistics transportation stage corresponds to the first duration span, and the pre-approval stage corresponds to the second duration span. The technical essence of the temporal connection relationship between the spare parts supply stage, the inventory allocation stage, the logistics transportation stage, and the pre-approval stage is stage sequence data used to describe the sequential dependency relationship between the time occupancy of each stage, and its function is to limit the order of subsequent stage duration cascading configuration processing. Subsequently, based on the stage timing connection record, the spare parts supply response time, the inventory transfer time, the first duration span, and the second duration span are configured in a stage duration concatenation configuration to generate the comprehensive time span corresponding to the matching spare parts cycle parameters. Although the inventory transfer time has been included in the calculation conditions of the first duration span, it is still used as an independent time occupant for the inventory transfer stage in the stage duration concatenation configuration to maintain a clear time boundary between the inventory transfer stage and the logistics transportation stage.

[0071] Preferably, in the specific technical implementation of the step "stage duration cascading configuration processing", the spare parts supply response time is first configured as the first stage time occupancy of the spare parts supply stage, then the inventory transfer time is configured as the second stage time occupancy of the inventory transfer stage, the first duration span is configured as the third stage time occupancy of the logistics transportation stage, and the second duration span is configured as the fourth stage time occupancy of the pre-approval stage. Subsequently, the first stage time occupancy, the second stage time occupancy, the third stage time occupancy, and the fourth stage time occupancy are sequentially cascaded according to the stage timing connection record to form the comprehensive time span. The technical essence of the comprehensive time span is the total time occupancy reserved for the power equipment from the triggering of the spare parts supply stage to the time when the on-site environment of the power equipment meets the installation and deployment conditions. It is not a result of ordinary time accumulation, but is formed by cascading the spare parts supply response time, the inventory transfer time, the first duration span, and the second duration span according to the stage dependency order after the spare parts model matching field is adapted. The comprehensive time span is subsequently extended and used as the base time span for generating the time window.

[0072] Preferably, the specific implementation process of the step "extending the comprehensive time span according to the preset margin parameter to generate the time window for triggering the operation and maintenance project initiation judgment" is as follows: First, establish a margin parameter configuration record, and configure the preset margin parameter according to the equipment type identifier of the power equipment, the voltage level identifier, the geographical location information of the deployment area, the supply chain node identifier, and the historical execution feedback record. The historical execution feedback record comes from the execution feedback record formed after the output of the operation and maintenance project initiation guidance data packet, and is used to provide historical time deviation data under the same equipment type identifier, the same voltage level identifier, the geographical location information of the similar deployment area, or the same supply chain node identifier; the historical execution feedback record participates in the configuration of the preset margin parameter, so that the preset margin parameter can reflect the time fluctuation of the comprehensive time span in the historical execution process. The technical essence of the preset margin parameter is a time buffer parameter used to compensate for the time fluctuation of the comprehensive time span during the on-site environment of the power equipment and the arrival of replacement materials, which is used to enable the time window to cover the reasonable floating time outside the comprehensive time span. Subsequently, the comprehensive time span is extended according to the preset margin parameter to form a window duration. This window duration is then time-anchored to the current moment to generate the time window used to trigger the operation and maintenance project initiation judgment. The technical essence of this time window is a trigger judgment range using the current moment as the judgment starting point and the window duration as the judgment length. It is used to determine whether the predicted remaining insulation timeframe is shorter than the time required to complete the spare parts supply stage, inventory allocation stage, logistics transportation stage, and pre-approval stage.

[0073] Preferably, in the specific technical implementation of the "extended processing" step, the comprehensive time span is first read, and the preset margin parameter is read from the margin parameter configuration record; then, the preset margin parameter is configured to the end time position of the comprehensive time span to form an extended window duration; then, the window duration and the remaining insulation time prediction value are converted to the same time unit, so that the window duration and the remaining insulation time prediction value can be compared under the same time caliber. The same time unit conversion processing is used to avoid the problem of inconsistent time units between the window duration and the remaining insulation time prediction value due to different sources; wherein, the window duration comes from the comprehensive time span and the preset margin parameter, and the remaining insulation time prediction value comes from the time span between the current degradation state node and the target deduced state node. After the same time unit conversion processing, the time window enters the operation and maintenance trigger judgment process and serves as the time-side judgment basis before the generation of the operation and maintenance trigger instruction.

[0074] Preferably, the specific implementation process of the step "generating the maintenance trigger instruction carrying the equipment identifier of the power equipment, the remaining insulation duration prediction value, the matching spare parts cycle parameter, and the time window when the comparison confirms that the remaining insulation duration prediction value is less than or equal to the window duration corresponding to the time window" is as follows: First, read the remaining insulation duration prediction value from the duration prediction result record and read the window duration corresponding to the time window; then, perform a time length comparison processing on the remaining insulation duration prediction value and the window duration to generate a trigger judgment result. When the trigger judgment result indicates that the remaining insulation duration prediction value is less than or equal to the window duration, read the equipment identifier of the power equipment, the matching spare parts cycle parameter, and the time window, and encapsulate the equipment identifier of the power equipment, the remaining insulation duration prediction value, the matching spare parts cycle parameter, and the time window into the maintenance trigger instruction. The trigger judgment result is used to indicate the comparison status between the remaining insulation duration prediction value and the window duration, and is subsequently written into the maintenance trigger instruction distribution record to indicate the generation conditions of the maintenance trigger instruction. The technical essence of the operation and maintenance triggering command is to form operation and maintenance project triggering data by comparing the insulation life prediction result with the spare parts cycle time window. It is used to provide the correspondence between the power equipment, the remaining insulation life prediction value, the matching spare parts cycle parameters and the time window to the subsequent time-series collaborative orchestration processing.

[0075] Preferably, in the specific implementation of the step "distributing the maintenance trigger instruction to the maintenance control bus", after the maintenance trigger instruction is generated, a maintenance trigger instruction distribution record is first established, and the maintenance trigger instruction, the trigger judgment result, the window duration, the comprehensive time span, the first duration span, the second duration span, the spare parts supply response time, and the inventory transfer time are written into the maintenance trigger instruction distribution record; subsequently, the maintenance trigger instruction is distributed to the maintenance control bus, and the maintenance control bus transmits the maintenance trigger instruction to the subsequent timing collaborative orchestration processing. The technical essence of the maintenance control bus is a data channel used to transmit maintenance project initiation trigger data during method execution, which is used to enable the maintenance trigger instruction to enter the timing collaborative orchestration processing from the trigger judgment process. The maintenance trigger instruction distribution record is subsequently used to refer back to the generation basis of the maintenance trigger instruction, so that when the maintenance project initiation guidance data packet is subsequently generated, the remaining insulation time prediction value, the matching spare parts cycle parameter, and the time window can continue to be called.

[0076] Optionally, the step of performing time-series collaborative orchestration processing based on the maintenance triggering instruction, in conjunction with the matching spare parts cycle parameters and the preset installation and construction time cycle, to generate a corresponding maintenance project initiation guidance data package output includes: responding to the maintenance triggering instruction by reading the remaining insulation time prediction value in the maintenance triggering instruction; establishing a reverse-calculation start time anchor point based on the current time and the remaining insulation time prediction value, wherein the reverse-calculation start time anchor point is the expected equipment downtime point of the power equipment; and arranging the data in reverse order along the historical time axis starting from the expected equipment downtime point. The preset installation and construction time cycle determines the latest on-site construction start node; starting from the latest on-site construction start node, the matching spare parts cycle parameters are arranged in reverse along the historical time axis to determine the latest hardware supply start node; based on the maintenance trigger command, the matching spare parts cycle parameters, the preset installation and construction time cycle, the latest hardware supply start node, and the expected equipment downtime, data packets are encapsulated to generate the maintenance project initiation guidance data packet; the maintenance project initiation guidance data packet is output to guide the maintenance project initiation process for the power equipment.

[0077] Preferably, the specific implementation process of step "in response to the maintenance triggering command, read the remaining insulation duration prediction value in the maintenance triggering command" is as follows: After the maintenance triggering command is transmitted to the timing collaborative orchestration processing via the maintenance control bus, a timing collaborative orchestration input record is first established, and the command identifier of the maintenance triggering command, the maintenance triggering command distribution record corresponding to the maintenance triggering command, and the remaining insulation duration prediction value in the maintenance triggering command are written into the timing collaborative orchestration input record; subsequently, the trigger judgment result, the trigger judgment time identifier, and the window duration corresponding to the time window are read from the maintenance triggering command distribution record, and the time position corresponding to the trigger judgment time identifier is written into the timing collaborative orchestration input record as the current time. The trigger judgment time identifier is not an arbitrarily read current time, but a time marker formed when the remaining insulation duration prediction value is compared with the time window, which is used to limit the calculation starting point of this timing collaborative orchestration processing. By establishing a field correspondence within the same record between the operation and maintenance triggering instruction, the remaining insulation duration prediction value, the trigger judgment time identifier, and the current time through the time-series collaborative orchestration input record, the time-series collaborative orchestration input record can be directly read when establishing the reverse start time anchor point, without needing to re-trace the formation link of the remaining insulation duration prediction value.

[0078] Preferably, the specific implementation process of the step "establishing the reverse starting time anchor point based on the current time and the remaining insulation aging prediction value" is as follows: First, the current time and the remaining insulation aging prediction value are read from the time-series collaborative orchestration input record, and the time representation caliber corresponding to the current time and the time representation caliber corresponding to the remaining insulation aging prediction value are checked for the same time caliber to form an aging caliber check record; the aging caliber check record is used to carry the time unit correspondence, time granularity correspondence, and time starting relationship between the current time and the remaining insulation aging prediction value. If the aging caliber check record indicates that the current time and the remaining insulation aging prediction value are in the same time caliber, then with the current time as the starting position, forward positioning processing is performed on the time axis according to the time span corresponding to the remaining insulation aging prediction value to determine the expected equipment downtime point of the power equipment. After the predicted equipment downtime is determined, it is written into the reverse anchor point record. The reverse anchor point record is then linked to the timing-based collaborative arrangement input record, the maintenance trigger command, the current time, the remaining insulation aging prediction value, and the aging caliber verification record. The technical essence of the reverse start time anchor point is the termination position of the time arrangement defined by the insulation degradation projection result. The reverse start time anchor point corresponds to the predicted equipment downtime and is used to limit the endpoint boundary that cannot be crossed when subsequently arranging the preset installation and construction time cycle and the matching spare parts cycle parameters in reverse.

[0079] Preferably, in the specific technical implementation of the step "the reverse-engineering start time anchor point is the expected equipment downtime point of the power equipment", the expected equipment downtime point is determined jointly by the current time and the remaining insulation aging prediction value; wherein, the current time is derived from the trigger judgment time identifier, the remaining insulation aging prediction value is derived from the aging prediction result record, and the aging prediction result record refers back to the current degradation state node, the target extrapolated state node, and the insulation degradation evolution benchmark. Therefore, the expected equipment downtime point is not a preset date in a fixed maintenance cycle, nor is it a simple shift of the alarm occurrence time, but rather the time position corresponding to when the power equipment extrapolates from the current insulation degradation state to the critical insulation degradation state. After using the expected equipment downtime as the anchor point for the reverse calculation, the subsequent time arrangement is based on the expected equipment downtime as the endpoint. First, the latest on-site construction start node is determined in reverse, and then the latest hardware supply start node is determined in reverse. This ensures that the preset installation and construction time cycle and the matching spare parts cycle parameters are arranged around the insulation life side time boundary. The insulation life side time boundary is reflected by the expected equipment downtime and continuously participates in the determination of time nodes in the subsequent reverse arrangement records of installation and construction and hardware supply.

[0080] Preferably, the specific implementation process of the step "starting from the expected equipment downtime, first arranging the preset installation and construction time cycle in reverse along the historical time axis to determine the latest on-site construction start node" is as follows: First, read the expected equipment downtime from the reverse anchor point record and establish a time axis reference record; the time axis reference record includes the current time, the expected equipment downtime, and the historical time axis direction pointing from the expected equipment downtime to the current time. The technical essence of the historical time axis direction is the time direction of pushing back from the future endpoint to the current starting point in the time arrangement coordinate, which is used to reversely determine the latest start position required to complete a certain prerequisite. Subsequently, read the stage duration detail field and the construction stage sequence field in the preset installation and construction time cycle; the stage duration detail field is used to carry the foundation construction duration, wiring processing duration, safety confirmation duration, and construction calibration duration, and the construction stage sequence field is used to limit the sequential arrangement relationship of the safety confirmation duration, the foundation construction duration, the wiring processing duration, and the construction calibration duration in the installation and construction process. Based on the timeline baseline record, the stage duration detail field, and the construction stage sequence field, an installation construction reverse arrangement record is established to carry the intermediate results of the subsequent reverse arrangement of the preset installation construction time cycle.

[0081] Preferably, in the specific technical implementation of the step "first reverse the arrangement of the preset installation and construction time cycle", the end position of the last construction stage in the preset installation and construction time cycle is first aligned with the expected equipment downtime point. Then, along the historical time axis, the stage duration detail field is processed segment by segment in reverse order of the construction stage sequence field. Specifically, if the construction stage sequence field indicates that safety confirmation is performed first, followed by foundation construction, then wiring processing, and finally construction calibration, then in the reverse arrangement, the construction calibration duration is first pushed back from the expected equipment downtime point to form the construction calibration start time position; then the wiring processing duration is pushed back from the construction calibration start time position to form the wiring processing start time position; then the foundation construction duration is pushed back from the wiring processing start time position to form the foundation construction start time position; finally, the safety confirmation duration is pushed back from the foundation construction start time position to form the safety confirmation start time position. The start times of the construction calibration, wiring, foundation construction, and safety confirmation are all written into the reverse installation and construction layout record, with the safety confirmation start time designated as the latest on-site construction start node. Through this segmented placement process, the duration of each stage in the preset installation and construction time cycle is clearly defined in the reverse installation and construction layout record, avoiding the inability to explain the internal stage arrangement of on-site construction by simply using a total duration.

[0082] Preferably, in the specific technical implementation of the step "determining the latest on-site construction start node", the latest on-site construction start node is derived from the earliest start position of the installation and construction stage in the reverse arrangement record of installation and construction. Its technical essence is to determine the latest time position for starting on-site construction processing for the power equipment without exceeding the expected equipment downtime. The latest on-site construction start node is not equivalent to any arbitrary construction plan time, but is jointly determined by the expected equipment downtime, the preset installation and construction time cycle, the stage duration detail field, and the construction stage sequence field. After the latest on-site construction start node is formed, it is written together with the expected equipment downtime, the safety confirmation duration, the foundation construction duration, the wiring processing duration, the construction calibration duration, the construction calibration start time position, the wiring processing start time position, the foundation construction start time position, and the safety confirmation start time position into the reverse arrangement record of installation and construction. This ensures that when subsequently reversing the matching spare parts cycle parameters, the latest on-site construction start node can be used as the time boundary that the hardware supply side must complete.

[0083] Preferably, the specific implementation process of step "starting from the latest on-site construction start node, arranging the matching spare parts cycle parameters in reverse along the historical timeline to determine the latest hardware supply start node" is as follows: After writing the installation construction reverse arrangement record at the latest on-site construction start node, first read the spare parts supply response time, inventory transfer time, and supply chain node identifier in the matching spare parts cycle parameters, and read the first duration span and the second duration span corresponding to the matching spare parts cycle parameters; wherein, the first duration span comes from the logistics transportation side duration determined according to the deployment area geographical location information, the supply chain node identifier, and the inventory transfer time, and the second duration span comes from the on-site environment deployment pre-deployment duration determined according to the pre-approval rules. Subsequently, a hardware supply reverse arrangement record is established, and the latest on-site construction start node, the spare parts supply response time, the inventory transfer time, the supply chain node identifier, the first duration span, and the second duration span are written into the hardware supply reverse arrangement record. The hardware supply reverse arrangement record is used to carry the reverse arrangement process of the matching spare parts cycle parameters on the time axis, and is used to subsequently encapsulate the operation and maintenance project initiation guidance data packet.

[0084] Preferably, in the specific technical implementation of the step "reverse arrangement of the matching spare parts cycle parameters", the end position of the second duration span is first aligned with the latest on-site construction start node, and the second duration span is pushed back from the latest on-site construction start node along the historical time axis to determine the start time position of the pre-approval stage; then, the first duration span is pushed back from the start time position of the pre-approval stage to determine the start time position of the logistics and transportation stage; then, the inventory transfer duration is pushed back from the start time position of the logistics and transportation stage to determine the start time position of the inventory transfer stage; finally, the spare parts supply response duration is pushed back from the start time position of the inventory transfer stage to determine the start time position of the spare parts supply stage. The start time positions of the pre-approval stage, the logistics and transportation stage, the inventory transfer stage, and the spare parts supply stage are all written into the hardware supply reverse arrangement record, and the start time position of the spare parts supply stage is used as the latest hardware supply start node. Through the above reverse arrangement, the second duration span, the first duration span, the inventory transfer duration, and the spare parts supply response duration are all time-occupied according to their sequential dependency relationship with the latest on-site construction start node, instead of directly treating the matching spare parts cycle parameter as an indivisible total cycle.

[0085] Preferably, in the specific technical implementation of the step "determining the latest hardware supply start node", the technical essence of the latest hardware supply start node is the latest time position for initiating hardware supply processing based on the matching spare parts cycle parameters, under the condition of meeting the requirements of the latest on-site construction start node. The latest hardware supply start node is formed by back-calculating the latest on-site construction start node, the second duration span, the first duration span, the inventory transfer duration, and the spare parts supply response duration. Therefore, the latest hardware supply start node can simultaneously reflect the on-site environment deployment lead time, logistics transportation time, inventory transfer time, and spare parts supply response time. After the latest hardware supply start node is formed, the latest hardware supply start node, along with the start time positions of the pre-approval stage, the logistics transportation stage, the inventory transfer stage, and the spare parts supply stage, are written into the hardware supply reverse arrangement record, so that the subsequently generated operation and maintenance project initiation guidance data package not only includes the latest hardware supply start node but also includes the time source of each hardware supply-related stage.

[0086] Preferably, the specific implementation process of the step "encapsulating data packets based on the maintenance trigger command, the matching spare parts cycle parameters, the preset installation and construction time cycle, the latest hardware supply start node, and the expected equipment downtime" is as follows: First, establish a maintenance project initiation message bearer record, and read the maintenance trigger command, the remaining insulation duration prediction value, and the current time from the timing collaborative arrangement input record; then, read the expected equipment downtime from the reverse anchor point record; subsequently, read the latest on-site construction start node, the safety confirmation duration, the foundation construction duration, and the wiring point from the installation and construction reverse arrangement record. The system records the following timeframes: processing time, construction calibration time, construction calibration start time, wiring start time, foundation construction start time, and safety confirmation start time. It also reads the latest hardware supply start node, spare parts supply phase start time, inventory allocation phase start time, logistics transportation phase start time, and pre-approval phase start time from the hardware supply reverse deployment record. Furthermore, it writes the spare parts model matching field, spare parts supply response time, inventory allocation time, and supply chain node identifier from the matching spare parts cycle parameters into the same maintenance project initiation message bearer record. This maintenance project initiation message bearer record is used to establish the correspondence between the lifespan prediction time, matching spare parts cycle deployment time, installation and construction deployment time, and matching spare parts fields. Subsequent message field encapsulation processing directly uses this maintenance project initiation message bearer record.

[0087] Preferably, in the specific technical implementation of the step "encapsulating data packets to generate the operation and maintenance project initiation guidance data packet", after the operation and maintenance project initiation message bearer record is formed, the operation and maintenance project initiation message bearer record is first subjected to field integrity verification processing to form a message field integrity verification record; the message field integrity verification record is used to confirm whether the operation and maintenance trigger instruction, the matching spare parts cycle parameter, the preset installation and construction time cycle, the expected equipment downtime point, the latest on-site construction start node, and the latest hardware supply start node have all been written into the operation and maintenance project initiation message bearer record. If the integrity verification record of the message field is complete, then the field sorting process is performed on the operation and maintenance project initiation message carrying record, so that the equipment identifier of the power equipment, the predicted remaining insulation lifespan, the expected equipment downtime, the latest hardware supply start node, the latest on-site construction start node, the matching spare parts cycle parameters, and the preset installation and construction time cycle are arranged in a time-guided order; subsequently, the operation and maintenance project initiation message carrying record that has completed the field sorting process is subjected to message field encapsulation processing to form the operation and maintenance project initiation guidance data packet. The technical essence of the operation and maintenance project initiation guidance data packet is a structured data message that carries the insulation life prediction result, the matching spare parts cycle arrangement result, and the installation and construction arrangement result together, which enables subsequent operation and maintenance project initiation processing to directly read each time node and its source field.

[0088] Preferably, the specific implementation process of the step "outputting the operation and maintenance project initiation guidance data packet to guide the operation and maintenance project initiation process for the power equipment" is as follows: After the operation and maintenance project initiation guidance data packet is formed, an operation and maintenance project initiation guidance data packet output record is first established, and the operation and maintenance project initiation guidance data packet, the equipment identifier of the power equipment, the expected equipment downtime time, the latest on-site construction start node, the latest hardware supply start node, and the message field integrity verification record are written into the operation and maintenance project initiation guidance data packet output record; subsequently, the operation and maintenance project initiation guidance data packet is output according to the operation and maintenance project initiation guidance data packet output record, so that the operation and maintenance project initiation guidance data packet enters the subsequent operation and maintenance project initiation process. The operation and maintenance project initiation guidance data packet output record is used to indicate the output source of the operation and maintenance project initiation guidance data packet, and serves as one of the sources of planned execution duration data when the execution feedback record is subsequently established. Through this processing, the maintenance project initiation guidance data packet not only transmits the triggering result of the maintenance triggering instruction, but also transmits the expected equipment downtime point, the latest on-site construction start node, and the latest hardware supply start node, which are derived from the predicted value of the remaining insulation duration. This enables the maintenance project initiation process for the power equipment to establish planned execution duration data according to the time sequence of hardware supply, inventory allocation, logistics transportation, pre-approval, and on-site construction.

[0089] Optionally, after generating the corresponding operation and maintenance project initiation guidance data package, the method further includes: establishing an execution feedback record corresponding to the operation and maintenance project initiation guidance data package; after receiving an operation confirmation signal reflecting that the physical hardware replacement for the power equipment has been completed, reading the planned execution duration data in the execution feedback record; extracting the spare parts arrival time, construction start time, and replacement completion time during the actual execution of the physical hardware replacement process, and generating actual consumption duration data based on the spare parts arrival time, construction start time, and replacement completion time; determining the deviation difference data between the planned execution duration data and the actual consumption duration data; generating a periodic correction compensation amount based on the deviation difference data, and using the periodic correction compensation amount to perform negative feedback correction compensation processing on the spare parts supply response time, inventory allocation time, or logistics transportation time in the matching spare parts periodic parameters; and storing the corrected matching spare parts periodic parameters and the corresponding correction version identifier in a non-volatile storage medium.

[0090] Preferably, the specific implementation process of step "establishing an execution feedback record corresponding to the operation and maintenance project initiation guidance data packet" is as follows: After the operation and maintenance project initiation guidance data packet is output, the operation and maintenance project initiation guidance data packet, the equipment identifier of the power equipment, the expected equipment downtime, the latest on-site construction start node, and the latest hardware supply start node are read from the operation and maintenance project initiation guidance data packet output record. The matching spare parts cycle parameter, the preset installation and construction time cycle, the remaining insulation aging prediction value, and the time window are also read from the operation and maintenance project initiation guidance data packet. Subsequently, using the data packet identifier of the operation and maintenance project initiation guidance data packet as an association index, an execution feedback bearer record is established, and the equipment identifier of the power equipment, the matching spare parts cycle parameter, the preset installation and construction time cycle, the latest hardware supply start node, the latest on-site construction start node, and the expected equipment downtime are written into the execution feedback bearer record. Then, record indexing and encapsulation processing is performed based on the execution feedback bearer record to form the execution feedback record corresponding to the operation and maintenance project initiation guidance data packet. The technical essence of the execution feedback record is a structured intermediate record used to carry the correspondence between planned time nodes, actual execution time nodes, stage deviation results and parameter correction results. It is not simply a log that saves the completion status, but rather enables the planned time arrangement in the operation and maintenance project guidance data package to be compared with the actual time arrangement on the same basis in the future. The execution feedback record includes at least the following fields: device identifier field, data packet identifier field, planned time field, actual time field, stage event feedback field, execution status field, deviation difference field, periodic correction field, and correction version field. The planned time field carries the planned execution duration data; the actual time field carries the actual time consumed data; the stage event feedback field carries subsequent received feedback data such as spare parts supply initiation, spare parts supply completion, inventory transfer initiation, inventory transfer completion, logistics dispatch, spare parts arrival registration, construction initiation registration, and replacement completion registration; the deviation difference field carries the deviation difference data; the periodic correction field carries the periodic correction compensation amount; and the correction version field carries the correction version identifier.

[0091] Preferably, in the specific technical implementation of the step "establishing an execution feedback record corresponding to the operation and maintenance project initiation guidance data package", the operation and maintenance project initiation guidance data package is first parsed to read the spare parts supply response time, the inventory allocation time, the first duration span, the second duration span, and the preset installation and construction time cycle from the operation and maintenance project initiation guidance data package; then, based on the sequential relationship between the latest hardware supply start node, the latest on-site construction start node, and the expected equipment downtime point, the planned duration fields of the spare parts supply response time, the inventory allocation time, the first duration span, the second duration span, and the preset installation and construction time cycle are aggregated and encapsulated to form the planned execution duration data. The technical essence of the planned execution duration data is the expression of the planned stage time determined by the operation and maintenance project initiation guidance data package, which includes the spare parts supply planned duration, the inventory allocation planned duration, the logistics transportation planned duration, the pre-approval planned duration, and the on-site construction planned duration. The spare parts supply plan duration is derived from the spare parts supply response duration, the inventory allocation plan duration is derived from the inventory allocation duration, the logistics transportation plan duration is derived from the first duration span, the pre-approval plan duration is derived from the second duration span, and the on-site construction plan duration is derived from the preset installation and construction time cycle. The logistics transportation plan duration is a staged field of the first duration span in the plan execution duration data, and the logistics transportation duration is a modifiable field in the matching spare parts cycle parameters corresponding to the first duration span. After writing the plan execution duration data into the execution feedback record, the execution feedback record can directly provide the plan-side benchmark required for subsequent deviation difference data calculation, without needing to reverse the arrangement of the maintenance project initiation guidance data package.

[0092] Preferably, in the specific implementation of the step "establishing an execution feedback record corresponding to the operation and maintenance project initiation guidance data packet", a plan phase boundary record is also established based on the planned execution duration data. Specifically, firstly, the latest hardware supply start node is used as the planned start time position of the spare parts supply phase, and the planned end time position of the spare parts supply phase is determined according to the planned duration of the spare parts supply phase; then, the planned end time position of the spare parts supply phase is used as the planned start time position of the inventory allocation phase, and the planned end time position of the inventory allocation phase is determined according to the planned duration of the inventory allocation phase; subsequently, the planned end time position of the inventory allocation phase is used as the planned start time position of the logistics transportation phase, and the planned end time position of the logistics transportation phase is determined according to the planned duration of the logistics transportation phase; then, the planned end time position of the logistics transportation phase is used as the planned start time position of the pre-approval phase, and the planned end time position of the pre-approval phase is determined according to the planned duration of the pre-approval phase; finally, the planned end time position of the pre-approval phase is used as the planned start time position of the on-site construction phase, and the planned end time position of the on-site construction phase is determined according to the planned duration of the on-site construction phase. The technical essence of the planned phase boundary record is that it establishes a planned phase start-end relationship based on the time nodes and phase durations in the operation and maintenance project initiation guidance data packet. This relationship is then mapped to the actual phase boundary record to determine the deviation difference data for each phase. Through the planned phase boundary record, the execution feedback record not only saves the planned execution duration data but also the phase position of the planned execution duration data on the timeline, ensuring that the subsequent actual time consumption data and deviation difference data can both point back to the corresponding planned phase.

[0093] Preferably, the specific implementation process of step "reading the planned execution duration data in the execution feedback record after receiving an operation confirmation signal reflecting that the physical hardware replacement for the power equipment has been completed" is as follows: After the execution feedback record is established, a stage event receiving index is first configured according to the data packet identifier of the operation and maintenance project guidance data packet, and the stage event receiving index is written into the stage event feedback field of the execution feedback record. Subsequently, stage event feedback data corresponding to the operation and maintenance project guidance data packet is received based on the stage event receiving index; the stage event feedback data includes spare parts supply start feedback data, spare parts supply completion feedback data, inventory transfer start feedback data, inventory transfer completion feedback data, logistics dispatch feedback data, spare parts arrival registration data, construction start registration data, and replacement completion registration data. The operation confirmation signal is triggered by the replacement completion registration data. Specifically, when the device identifier of the power equipment carried in the replacement completion registration data is consistent with the device identifier field in the execution feedback record, and the data packet identifier of the maintenance project initiation guidance data packet carried in the replacement completion registration data is consistent with the data packet identifier field in the execution feedback record, the spare parts supply start-up feedback data, the spare parts supply completion feedback data, the inventory transfer start-up feedback data, the inventory transfer completion feedback data, the logistics dispatch feedback data, the spare parts arrival registration data, the construction start-up registration data, and the replacement completion registration data are subjected to field consistency verification to form an operation confirmation verification record. When the operation confirmation verification record indicates that the event feedback data of each stage belongs to the same maintenance project initiation guidance data packet, and the replacement completion status flag in the replacement completion registration data indicates that the physical hardware replacement process has been completed, the operation confirmation signal is generated. The technical essence of the operation confirmation signal is a data confirmation message that reflects the formation of a complete stage event feedback chain in the physical hardware replacement process. It carries at least the equipment identifier of the power equipment, the data packet identifier of the operation and maintenance project guidance data packet, the spare parts arrival time, the construction start time, the replacement completion time, and the replacement completion status mark.

[0094] Preferably, in the specific implementation of the step "reading the planned execution duration data in the execution feedback record", after generating the operation confirmation signal, the execution feedback record is first retrieved based on the equipment identifier of the power equipment and the data packet identifier of the operation and maintenance project guidance data packet in the operation confirmation signal; after retrieving the execution feedback record, the planned execution duration data is read from the planned time field of the execution feedback record, and the planned stage boundary record is read from the execution feedback record to form a planned execution duration reading record. The planned execution duration reading record is used to carry the spare parts supply plan duration, the inventory allocation plan duration, the logistics transportation plan duration, the pre-approval plan duration, the on-site construction plan duration, and the planned start time and plan end time positions of each planned stage. The planned execution duration reading record subsequently participates in the determination of the deviation difference data, enabling the deviation difference data to distinguish whether the deviation source belongs to the spare parts supply stage, the inventory allocation stage, the logistics transportation stage, the pre-approval stage, or the on-site construction stage. The planned execution time data is not an abstract total time, but a comparable time field formed by splitting the data according to the stage order and time nodes in the operation and maintenance project initiation guidance data packet. The comparable time field is then compared with the actual time consumption data using the same caliber.

[0095] Preferably, the specific implementation process of the step "extracting the spare parts arrival time, construction start time, and replacement completion time during the actual physical hardware replacement process" is as follows: After the operation confirmation signal is matched with the execution feedback record, the spare parts arrival time, construction start time, and replacement completion time are first read from the operation confirmation signal, and the spare parts supply start feedback data, spare parts supply completion feedback data, inventory transfer start feedback data, inventory transfer completion feedback data, and logistics dispatch feedback data are read from the stage event feedback field. The spare parts arrival time comes from the arrival registration time field in the spare parts arrival registration data, which is formed when the replacement materials arrive at the operating site of the power equipment and the arrival identifier is written; the construction start time comes from the construction start time field in the construction start registration data, which is formed after the site environment deployment conditions are written to a workable state; the replacement completion time comes from the replacement completion time field in the replacement completion registration data, which is formed after the physical hardware replacement completion marker is written. Subsequently, the arrival time of the spare parts, the start time of construction, and the completion time of replacement are verified using the same time caliber to form an actual time caliber verification record. This record confirms that the arrival time of the spare parts, the start time of construction, and the completion time of replacement are within the same time caliber, and that the arrival time of the spare parts is earlier than or equal to the start time of construction, and the start time of construction is earlier than or equal to the completion time of replacement. After successful verification, the actual time caliber verification record is written into the actual time field of the execution feedback record and serves as the time verification basis for subsequent formation of actual stage boundary records.

[0096] Preferably, in the specific technical implementation of the step "extracting the arrival time of spare parts, construction start time, and replacement completion time during the actual physical hardware replacement process", an actual stage boundary record is also formed based on the stage event feedback field. Specifically, the process begins by reading the spare parts supply start time from the spare parts supply start feedback data, the spare parts supply completion time from the spare parts supply completion feedback data, the inventory transfer start time from the inventory transfer start feedback data, the inventory transfer completion time from the inventory transfer completion feedback data, and then the logistics dispatch time from the logistics dispatch feedback data. Subsequently, the spare parts supply start time is taken as the actual start time of the spare parts supply phase, the spare parts supply completion time as the actual end time of the spare parts supply phase, the inventory transfer start time as the actual start time of the inventory transfer phase, the inventory transfer completion time as the actual end time of the inventory transfer phase, the logistics dispatch time as the actual start time of the logistics transportation phase, the spare parts arrival time as the actual end time of the logistics transportation phase, the spare parts arrival time as the actual start time of the pre-approval phase, the construction start time as the actual end time of the pre-approval phase, the construction start time as the actual start time of the on-site construction phase, and the replacement completion time as the actual end time of the on-site construction phase. The technical essence of the actual stage boundary record is based on the actual stage start and end relationship formed by the operation confirmation signal and the stage event feedback data. It is then matched with the planned stage boundary record to generate the actual time consumption data and the deviation difference data.

[0097] Preferably, in the specific implementation of the step "generating actual time consumption data based on the spare parts arrival time, the construction start time, and the replacement completion time", the actual stage boundary record is first read, and the actual spare parts supply time, actual inventory transfer time, actual logistics transportation time, actual pre-approval time, and actual on-site construction time are extracted based on the actual stage boundary record. Specifically, the time span between the actual start time and the actual end time of the spare parts supply stage is taken as the actual spare parts supply time; the time span between the actual start time and the actual end time of the inventory transfer stage is taken as the actual inventory transfer time; the time span between the actual start time and the actual end time of the logistics transportation stage is taken as the actual logistics transportation time; the time span between the actual start time and the actual end time of the pre-approval stage is taken as the actual pre-approval time; and the time span between the actual start time and the actual end time of the on-site construction stage is taken as the actual on-site construction time. Subsequently, the actual duration of spare parts supply, inventory allocation, logistics transportation, pre-approval, and on-site construction are processed by field aggregation and encapsulation to form the actual time consumption data. The technical essence of this actual time consumption data is an actual stage time expression formed based on the operation confirmation signal and the stage event feedback data. It has the same stage division criteria as the planned execution time data and corresponds to each field of the planned execution time data in the subsequent deviation difference data determination process.

[0098] Preferably, the specific implementation process of step "determining the deviation difference data between the planned execution time data and the actual consumption time data" is as follows: First, read the spare parts supply plan duration, the inventory allocation plan duration, the logistics transportation plan duration, the pre-approval plan duration, and the on-site construction plan duration from the planned execution time reading record; then, read the actual spare parts supply duration, the actual inventory allocation duration, the actual logistics transportation duration, the actual pre-approval duration, and the actual on-site construction duration from the actual consumption time data; subsequently, analyze the deviation difference data between the planned spare parts supply duration and the actual consumption time data. The deviations are processed using the same method to extract the difference between the planned and actual durations of inventory transfers, resulting in a spare parts supply deviation. Similarly, the planned and actual durations of logistics transportation are processed to extract the difference, resulting in a logistics transportation deviation. The planned and actual durations of pre-approval are also processed to extract the difference, resulting in a pre-approval deviation. Finally, the planned and actual durations of on-site construction are processed to extract the difference, resulting in an on-site construction deviation. The technical essence of these deviation data is a staged deviation description between the planned and actual stage time expressions, including the spare parts supply deviation, inventory transfer deviation, logistics transportation deviation, pre-approval deviation, and on-site construction deviation. After the deviation difference data is written into the deviation difference field of the execution feedback record, it continues to serve as the direct data source for generating the periodic correction compensation amount.

[0099] Preferably, the specific implementation process of step "generating periodic correction compensation based on the deviation difference data" is as follows: First, read the spare parts supply deviation difference, the inventory transfer deviation difference, and the logistics transportation deviation difference from the deviation difference data, and read the spare parts supply response time, the inventory transfer time, and the logistics transportation time from the matching spare parts cycle parameters; wherein, the logistics transportation time is the logistics transportation stage duration field corresponding to the first duration span in the matching spare parts cycle parameters, and the first duration span is jointly determined by the supply chain node identifier, the deployment area geographical location information, the inventory transfer time, and the logistics transportation time during the aforementioned time window determination process, and the logistics transportation plan duration is the plan-side expression of the first duration span in the plan execution time data. Subsequently, establish a correspondence between the spare parts supply deviation difference and the spare parts supply response time, establish a correspondence between the inventory transfer deviation difference and the inventory transfer time, and establish a correspondence between the logistics transportation deviation difference and the logistics transportation time to form a periodic deviation attribution record. The technical essence of the periodic deviation attribution record is to map the staged deviation results in the deviation difference data to the attribution index of the stage field to be corrected in the matching spare parts cycle parameters. This is used to avoid writing the deviation difference data generated in one stage into the duration field of another stage.

[0100] Preferably, in the specific technical implementation of the step "generating periodic correction compensation amount based on the deviation difference data", the spare parts supply correction compensation amount, inventory transfer correction compensation amount, and logistics transportation correction compensation amount are generated based on the periodic deviation attribution record. Specifically, firstly, the spare parts supply deviation difference is read, and the spare parts supply correction compensation amount corresponding to the spare parts supply response time is generated according to the deviation direction and deviation magnitude of the spare parts supply deviation difference; then, the inventory transfer deviation difference is read, and the inventory transfer correction compensation amount corresponding to the inventory transfer time is generated according to the deviation direction and deviation magnitude of the inventory transfer deviation difference; subsequently, the logistics transportation deviation difference is read, and the logistics transportation correction compensation amount corresponding to the logistics transportation time is generated according to the deviation direction and deviation magnitude of the logistics transportation deviation difference. The periodic correction compensation amount includes the spare parts supply correction compensation amount, the inventory allocation correction compensation amount, and the logistics transportation correction compensation amount. The technical essence of the periodic correction compensation amount is a phased time compensation data that corrects the spare parts supply stage, inventory allocation stage, and logistics transportation stage in the matched spare parts cycle parameters based on the completed physical hardware replacement process. The pre-approval deviation difference and the on-site construction deviation difference are written into the execution feedback record, but they are not directly used to correct the spare parts supply response time, the inventory allocation time, or the logistics transportation time, to avoid mistakenly writing on-site environmental deviations into the spare parts cycle field.

[0101] Preferably, in the specific implementation of the step "using the periodic correction compensation amount to perform negative feedback correction compensation processing on the spare parts supply response time, inventory transfer time, or logistics transportation time in the matched spare parts cycle parameters", the spare parts supply correction compensation amount, the inventory transfer correction compensation amount, and the logistics transportation correction compensation amount in the periodic correction compensation amount are first read, and the spare parts supply response time, the inventory transfer time, and the logistics transportation time in the matched spare parts cycle parameters are read respectively. Then, the spare parts supply response time is used as the first cycle field to be corrected, and the first cycle field to be corrected is compensated and configured according to the spare parts supply correction compensation amount to form a corrected spare parts supply response time; the inventory transfer time is used as the second cycle field to be corrected, and the second cycle field to be corrected is compensated and configured according to the inventory transfer correction compensation amount to form a corrected inventory transfer time; the logistics transportation time is used as the third cycle field to be corrected, and the third cycle field to be corrected is compensated and configured according to the logistics transportation correction compensation amount to form a corrected logistics transportation time. If the actual duration of a corresponding stage is longer than the planned duration, the corresponding correction compensation is used to increase the corresponding period field to be corrected; if the actual duration of a corresponding stage is shorter than the planned duration, the corresponding correction compensation is used to decrease the corresponding period field to be corrected, and the decreased period field to be corrected is not lower than the preset minimum stage time occupancy. The technical essence of the negative feedback correction compensation process is to write back the stage deviation result of the actual time consumption data relative to the planned execution time data to the matching spare parts cycle parameters required for the next round of time window determination, so that the matching spare parts cycle parameters can be updated based on the completed replacement process of similar physical hardware.

[0102] Preferably, in the specific technical implementation of the step "using the periodic correction compensation amount to perform negative feedback correction compensation processing on the spare parts supply response time, inventory transfer time, or logistics transportation time in the matched spare parts cycle parameters," a periodic field correction record is also established. The periodic field correction record includes a parameter identifier field, an original field for spare parts supply response time, an original field for inventory transfer time, an original field for logistics transportation time, a spare parts supply correction compensation amount field, an inventory transfer correction compensation amount field, a logistics transportation correction compensation amount field, a corrected spare parts supply response time field, a corrected inventory transfer time field, and a corrected logistics transportation time field. After writing the corrected spare parts supply response time, the corrected inventory transfer time, and the corrected logistics transportation time into the periodic field correction record, the matched spare parts cycle parameters are updated based on the periodic field correction record to form the corrected matched spare parts cycle parameters. The periodic field correction record is used to carry the correspondence between the pre-correction fields, the correction compensation amount, and the corrected fields, so that the corrected matched spare parts cycle parameters can refer back to the deviation difference data and the periodic correction compensation amount. By correcting the record using the cycle field, when the matching spare parts cycle parameters are subsequently parsed and determined again, the corrected spare parts supply response time, the corrected inventory transfer time, and the corrected logistics transportation time can be read, and these three times can be used to generate the time window.

[0103] Preferably, the specific implementation process of the step "associating and storing the corrected matching spare parts cycle parameters with the corresponding correction version identifier in a non-volatile storage medium" is as follows: After forming the corrected matching spare parts cycle parameters, first read the equipment identifier field, data packet identifier field, deviation difference field, and cycle correction field from the execution feedback record, and then read the parameter identifier field, corrected spare parts supply response time field, corrected inventory transfer time field, and corrected logistics transportation time field from the cycle field correction record; subsequently, generate the correction version identifier based on the equipment identifier of the power equipment, the data packet identifier of the operation and maintenance project guidance data packet, the parameter identifier of the matching spare parts cycle parameters, the generation time position of the cycle correction compensation amount, and the cycle field correction record. The technical essence of the correction version identifier is to distinguish the parameter version marker of different correction rounds of the matching spare parts cycle parameters, which is used to enable the corrected matching spare parts cycle parameters to refer back to the execution feedback record, the deviation difference data, the cycle correction compensation amount, and the cycle field correction record. Subsequently, the corrected matching spare parts cycle parameters, the correction version identifier, the execution feedback record, the cycle deviation attribution record, the deviation difference data, the cycle correction compensation amount, and the cycle field correction record are associated and encapsulated to form a cycle parameter correction storage record; then, the cycle parameter correction storage record is written to a non-volatile storage medium. The cycle parameter correction storage record is used to carry the corrected matching spare parts cycle parameters and their source relationships, so that when the corrected matching spare parts cycle parameters are read subsequently, the corresponding correction version identifier and the execution feedback record can be obtained simultaneously.

[0104] Preferably, in the specific implementation of the step "associating and storing the corrected matching spare parts cycle parameters with the corresponding correction version identifier in a non-volatile storage medium", after the cycle parameter correction storage record is written to the non-volatile storage medium, a version backreference verification process is performed on the cycle parameter correction storage record to form a correction version backreference verification record. The correction version backreference verification record is used to confirm whether the correction version identifier can backreference the matching spare parts cycle parameters before correction, the matching spare parts cycle parameters after correction, the execution feedback record, the deviation difference data, the cycle correction compensation amount, and the cycle field correction record. If the correction version backreference verification record indicates that there is a correspondence between all the above fields, then the correction version identifier is written into the correction version field of the execution feedback record, and the execution status field of the execution feedback record is updated to the completed feedback correction status. The non-volatile storage medium is used to retain the period parameter correction storage record after power failure or task switching, so that when the matching spare parts period parameters of the power equipment are parsed and determined again in a subsequent process, the corrected matching spare parts period parameters with the correction version identifier can be read, and the corrected matching spare parts period parameters can continue to be used in the subsequent time window determination process.

[0105] Optionally, the process of determining the preset installation and construction time cycle includes: reading the equipment type identifier, voltage level identifier, number of terminals, and installation position status identifier of the power equipment; matching the basic construction time in the preset construction time configuration table according to the equipment type identifier and the voltage level identifier; determining the wiring processing time required for wiring removal and wiring reset according to the number of terminals; determining the safety confirmation time required for power outage isolation confirmation according to the installation position status identifier; performing stage time cascading configuration processing according to the construction stage sequence corresponding to the basic construction time, the wiring processing time, and the safety confirmation time to generate candidate installation and construction time cycles; reading the historical replacement time records corresponding to the same type of power equipment and determining the construction calibration time based on the historical replacement time records; calibrating the candidate installation and construction time cycles according to the construction calibration time to generate the preset installation and construction time cycle for reverse arrangement processing.

[0106] Preferably, the specific implementation process of the step "reading the equipment type identifier, voltage level identifier, number of terminals, and installation position status identifier of the power equipment" is as follows: Before determining the preset installation and construction time cycle, a construction cycle input reading record is first established, and the equipment identifier of the power equipment is written into the construction cycle input reading record; subsequently, the equipment basic attribute record corresponding to the power equipment is read according to the equipment identifier of the power equipment, and the equipment type identifier, voltage level identifier, number of terminals, and installation position status identifier are extracted from the equipment basic attribute record. The equipment basic attribute record is used to carry the equipment structure attributes and installation location attributes that the power equipment has registered before the operation and maintenance project initiation process, and it includes at least an equipment identifier field, an equipment type identifier field, a voltage level identifier field, a number of terminals field, and an installation position status identifier field; the equipment identifier field corresponds to the equipment identifier of the power equipment in the construction cycle input reading record, the equipment type identifier field is used to provide the equipment type identifier, the voltage level identifier field is used to provide the voltage level identifier, the number of terminals field is used to provide the number of terminals, and the installation position status identifier field is used to provide the installation position status identifier. After the equipment type identifier, voltage level identifier, number of terminals, and installation position status identifier are written into the same construction cycle input read record, the corresponding fields are read from the construction cycle input read record when matching the basic construction duration, determining the wiring processing duration, determining the safety confirmation duration, and generating the candidate installation construction time cycle. This ensures that the equipment type identifier, voltage level identifier, number of terminals, and installation position status identifier have a traceable data source in the formation process of the preset installation construction time cycle.

[0107] Preferably, in the specific technical implementation of the step "reading the equipment type identifier, voltage level identifier, number of terminals, and installation position status identifier of the power equipment", the equipment type identifier is used to define the equipment structure category corresponding to the power equipment. The equipment structure category includes transformer structure category, generator structure category, and other high-value power equipment structure categories. The equipment type identifier is entered into the equipment type field matching process of the subsequent preset construction duration configuration table to define the main body dismantling time field, main body positioning time field, and fixed structure processing time field corresponding to the foundation construction duration. The voltage level identifier is used to define the electrical isolation level corresponding to the power equipment during installation and construction. The voltage level identifier is entered into the voltage level field matching process of the subsequent preset construction duration configuration table to define the construction processing caliber of the same voltage level corresponding to the foundation construction duration. The number of terminals is used to characterize the number of connection ends that need to be disconnected and reset during the physical hardware replacement process of the power equipment. The number of terminals is entered into the subsequent generation process of terminal processing placeholder records to define the wiring processing duration. The installation location status identifier is used to characterize the accessibility, power outage isolation, grounding confirmation, spatial obstruction, and fixed structure status of the installation location of the power equipment before construction. This installation location status identifier is entered into the subsequent installation location status registration record retrieval process to limit the safety confirmation duration. Therefore, the equipment type identifier, voltage level identifier, number of terminals, and installation location status identifier are each entered into different time field determination processes, and together constitute the input field source for the candidate installation construction time period.

[0108] Preferably, the specific implementation process of the step "matching the basic construction duration in the preset construction duration configuration table according to the equipment type identifier and the voltage level identifier" is as follows: First, read the equipment type identifier and the voltage level identifier from the construction cycle input read record and establish a construction duration matching record; then, configure the equipment type matching field, voltage level matching field, configuration table index field and basic construction duration field in the construction duration matching record, and write the equipment type identifier into the equipment type matching field and the voltage level identifier into the voltage level matching field. The preset construction duration configuration table is then read, and field matching is performed between the equipment type field and the equipment type identifier, and simultaneously, field matching is performed between the voltage level field and the voltage level identifier. When both the equipment type field and the voltage level field match the corresponding fields in the construction duration matching record, the position of the matched configuration record is written into the configuration table index field. Based on the configuration table index field, the main body dismantling time field, main body placement time field, fixed structure processing time field, and foundation construction duration field corresponding to the same configuration record in the preset construction duration configuration table are read. Then, the main body dismantling time field, main body placement time field, fixed structure processing time field, and foundation construction duration field are written into the construction duration matching record. The foundation construction duration is formed by cascading the main body dismantling time field, main body placement time field, and fixed structure processing time field according to the construction stage sequence of main body dismantling, main body placement, and fixed structure processing. The foundation construction duration is subsequently included in the generation process of the candidate installation construction time cycle.

[0109] Preferably, the specific pre-setting process of step "Pre-set Construction Duration Configuration Table" is as follows: Before the pre-set construction duration configuration table is put into use, a construction duration configuration source record is first established, and historical replacement time records corresponding to the same type of power equipment are read from the completed execution feedback records; the execution feedback records originate from the execution feedback process formed after the output of the aforementioned operation and maintenance project guidance data packet, and the planned execution duration data, the actual time consumed data, and the deviation difference data have been written into the execution feedback records. Subsequently, equipment type records, voltage level records, historical main body dismantling time records, historical main body placement time records, and historical fixed structure processing time records are read from the historical replacement time records corresponding to the same type of power equipment, and the equipment type records and voltage level records are written into the configuration index field of the construction duration configuration source record. Then, the equipment type records are subjected to field normalization processing to form the equipment type field that can correspond to the equipment type identifier; the voltage level records are subjected to field normalization processing to form the voltage level field that can correspond to the voltage level identifier. Then, the historical main body dismantling time record is written into the main body dismantling time field, the historical main body placement time record is written into the main body placement time field, and the historical fixing structure processing time record is written into the fixing structure processing time field. The time durations of each stage are then cascaded and configured according to the construction phase sequence of main body dismantling, main body placement, and fixing structure processing to form the foundation construction time field. The technical essence of the preset construction time configuration table is to map the historical main body construction time of similar types of power equipment to a structured configuration table based on equipment type and voltage level combinations. This ensures that the foundation construction time has a historical data source corresponding to the structural attributes of the power equipment.

[0110] Preferably, the specific implementation process of the step "determining the wiring processing time required for wiring removal and reset based on the number of terminals" is as follows: First, the number of terminals is read from the construction cycle input reading record, and a pre-configured terminal processing time configuration record is read; the terminal processing time configuration record includes a terminal type field, a single terminal removal time field, a terminal mark verification time field, a single terminal reset time field, and a terminal processing sequence field. Subsequently, a terminal processing placeholder record is established based on the number of terminals, and a terminal processing entry corresponding to the number of terminals is generated in the terminal processing placeholder record; each terminal processing entry includes a terminal sequence number field, a terminal type field, a single terminal removal time field, a terminal mark verification time field, a single terminal reset time field, and a terminal processing status field. Next, according to the terminal type field in the terminal processing time configuration record, a corresponding terminal type field is configured for each terminal processing entry. If the device basic attribute record does not distinguish between different terminal types, the terminal type field of each terminal processing entry is configured as a general terminal type identifier, and the single terminal removal time field, the terminal mark verification time field, and the single terminal reset time field in the terminal processing time configuration record are read according to the general terminal type identifier. Then, according to the terminal processing sequence field, the single terminal removal time, the terminal mark verification time, and the single terminal reset time in each terminal processing entry are configured sequentially to form single terminal processing time placeholders. Finally, the single terminal processing time placeholders corresponding to each terminal processing entry are configured in a terminal sequence cascade configuration to form the wiring processing duration. The technical essence of the wiring processing time is that the number of repetitions is limited by the number of wiring terminals, and the wiring stage time occupancy is limited by the terminal processing time configuration record. Subsequently, it enters the stage time cascade configuration processing together with the foundation construction time and the safety confirmation time.

[0111] Preferably, the specific preset process of step "terminal processing time configuration record" is as follows: Before determining the wiring processing time, first read the historical wiring removal time record, historical terminal mark verification time record, historical wiring reset time record, and historical wiring terminal quantity record from the historical replacement time record corresponding to the same type of power equipment. Then, based on the historical wiring terminal quantity record, split the historical wiring removal time record, the historical terminal mark verification time record, and the historical wiring reset time record into single terminal removal time source, single terminal mark verification time source, and single terminal reset time source. Subsequently, write the single terminal removal time source into the single terminal removal time field, write the single terminal mark verification time source into the terminal mark verification time field, write the single terminal reset time source into the single terminal reset time field, and write the order of wiring removal, terminal mark verification, and wiring reset into the terminal processing sequence field. If the historical replacement time records for the same type of power equipment have already distinguished terminal types, then the historical terminal type records are written into the terminal type field; if the historical replacement time records for the same type of power equipment have not distinguished terminal types, then the terminal type field is configured as a general terminal type identifier to form the terminal processing time configuration record. The terminal processing time configuration record thus establishes a source correspondence with the historical replacement time records for the same type of power equipment; subsequently, when generating the wiring processing time based on the number of wiring terminals, the terminal processing time configuration record can provide a consistent time placeholder for the removal, marking verification, and resetting of each wiring terminal, avoiding the ambiguity of the wiring processing stage caused by directly processing only the number of wiring terminals and empirical time.

[0112] Preferably, the specific implementation process of the step "determine the safety confirmation time required for power outage isolation confirmation based on the installation position status identifier" is as follows: first, read the installation position status identifier from the construction cycle input reading record, and then retrieve the installation position status registration record based on the installation position status identifier; the installation position status registration record includes an accessibility status field, a power outage isolation status field, a grounding confirmation status field, a space obstruction status field, a fixed structure status field, and a status update time field. Subsequently, the status update time field in the installation position status registration record is read, and it is determined whether the installation position status registration record belongs to the installation position status data within the current construction period based on the status update time field. When the status update time field indicates that the installation position status registration record belongs to the installation position status data within the current construction period, an installation position arrival confirmation time is generated based on the accessibility status field, a power outage isolation confirmation time is generated based on the power outage isolation status field, a grounding status confirmation time is generated based on the grounding confirmation status field, a space clearing confirmation time is generated based on the space obstruction status field, and a fixed structure status confirmation time is generated based on the fixed structure status field. The installation position arrival confirmation time, the power outage isolation confirmation time, the grounding status confirmation time, the space clearing confirmation time, and the fixed structure status confirmation time are then written into the safety confirmation placeholder record. Furthermore, according to the sequential relationship of power outage isolation confirmation, grounding status confirmation, installation position arrival confirmation, space clearing confirmation, and fixed structure status confirmation, each time placeholder in the safety confirmation placeholder record is encoded for a safety confirmation stage to form the safety confirmation duration. The technical essence of the safety confirmation time is that the electrical equipment needs to reserve a safety confirmation period before entering the foundation construction in order to make the installation position ready for construction. The subsequent period serves as the preliminary stage time of the candidate installation construction time cycle.

[0113] Preferably, the specific preset process of step "installation position status registration record" is as follows: Before reading the installation position status identifier, an installation position status registration record is first established based on the equipment identifier of the power equipment, and a correspondence is established between the installation position status registration record and the equipment basic attribute record; then, the accessibility status data, power outage isolation status data, grounding confirmation status data, spatial obstruction status data, and fixed structure status data of the installation position where the power equipment is located are read, and written into the accessibility status field, the power outage isolation status field, the grounding confirmation status field, the spatial obstruction status field, and the fixed structure status field, respectively; then, the registration time position of the accessibility status data, the power outage isolation status data, the grounding confirmation status data, the spatial obstruction status data, and the fixed structure status data is read, and the registration time position is written into the status update time field. The accessibility status field indicates whether the construction location is accessible; the power outage isolation status field indicates whether the electrical connection corresponding to the power equipment has entered a power outage isolation state; the grounding confirmation status field indicates whether the grounding status after power outage isolation has been confirmed; the spatial obstruction status field indicates whether there are any spatial obstructions around the construction path or installation location that need to be addressed; the fixed structure status field indicates whether the fasteners, brackets, or mounting bases are in a detachable state; and the status update time field limits whether the installation location status data corresponding to the installation location status registration record belongs to the installation location status data within the current construction period. After the installation location status registration record is formed, the installation location status identifier serves as a retrieval index in the process of determining the safety confirmation duration, ensuring that the safety confirmation duration corresponds to the current status of the installation location where the power equipment is located.

[0114] Preferably, the specific implementation process of the step "performing cascading configuration of stage durations according to the construction stage sequence corresponding to the foundation construction duration, the wiring processing duration, and the safety confirmation duration" is as follows: After the foundation construction duration, the wiring processing duration, and the safety confirmation duration are all determined, a construction stage sequence record is first established, and a safety confirmation stage field, a main construction stage field, a wiring processing stage field, a stage start position field, and a stage end position field are configured in the construction stage sequence record. Subsequently, the safety confirmation duration is written into the safety confirmation stage field, the foundation construction duration is written into the main construction stage field, the wiring processing duration is written into the wiring processing stage field, and the sequential relationship between the safety confirmation stage, the main construction stage, and the wiring processing stage is written into the construction stage sequence record. Taking the safety confirmation phase as the first phase, the main construction phase as the second phase, and the wiring processing phase as the third phase, the durations of the safety confirmation, the foundation construction, and the wiring processing are configured in a cascaded manner. Specifically, the start position field of the main construction phase follows the end position field of the safety confirmation phase, and the start position field of the wiring processing phase follows the end position field of the main construction phase. Through this cascaded configuration, the safety confirmation duration, the foundation construction duration, and the wiring processing duration form a construction time chain with sequential dependencies. This construction time chain is subsequently encapsulated into the candidate installation construction time cycle.

[0115] Preferably, in the specific technical implementation of the step "generating candidate installation construction time cycles", the safety confirmation duration, foundation construction duration, and wiring processing duration are first read from the construction stage sequence record, and the equipment type identifier, voltage level identifier, number of terminals, and installation position status identifier are read from the construction cycle input read record. Subsequently, a construction stage placeholder record is generated based on the stage start and end position fields of the safety confirmation stage, the stage start and end position fields of the main construction stage, and the stage start and end position fields of the wiring processing stage. Then, the construction stage placeholder record, the equipment type identifier, the voltage level identifier, the number of terminals, and the installation position status identifier are written into the candidate installation construction time cycle record to form the candidate installation construction time cycle. The technical essence of the candidate installation construction time cycle is the initial construction cycle data formed by the current equipment attributes, installation position status, and construction stage sequence of the power equipment, which includes the sequential time placeholders for the safety confirmation stage, main construction stage, and wiring processing stage. The candidate installation construction time period is subsequently entered into the construction calibration process, and after the construction calibration process, the preset installation construction time period for reverse arrangement processing is formed.

[0116] Preferably, the specific implementation process of the step "reading historical replacement time records corresponding to the same type of power equipment" is as follows: After the candidate installation construction time cycle is formed, the equipment type identifier and the voltage level identifier in the construction cycle input reading record are read first, and historical execution feedback records are retrieved accordingly; then, records in the historical execution feedback records that have the same equipment type identifier and voltage level identifier as the power equipment are selected to form historical replacement time records corresponding to the same type of power equipment. The historical execution feedback records are derived from the completed physical hardware replacement process, and the planned execution time data, the actual time consumption data, the deviation difference data, the planned stage boundary record, and the actual stage boundary record have been written into the historical execution feedback records. Subsequently, the actual duration of historical safety confirmation, the actual duration of historical main construction, the actual duration of historical wiring processing, the deviation difference in historical on-site construction, the status identifier of historical installation position, and the number of historical wiring terminals are read from the historical replacement time records corresponding to the same type of power equipment. These data are then written into the historical replacement time filtering record. The technical essence of the historical replacement time records corresponding to the same type of power equipment is that they represent the actual construction time data generated during completed replacement tasks for the same type of power equipment, and are used to perform construction calibration processing on the candidate installation construction time cycle.

[0117] Preferably, the specific implementation process of the step "determining the construction calibration duration based on the historical replacement time records" is as follows: First, read the historical installation position status identifier and the historical terminal quantity from the historical replacement time filtering records, and perform status correspondence processing between the installation position status identifier and the historical installation position status identifier, and perform quantity range correspondence processing between the terminal quantity and the historical terminal quantity, so as to filter out the historical replacement time records corresponding to the same type of power equipment corresponding to the current installation position status and the current terminal quantity. Subsequently, perform abnormal time elimination processing on the historical replacement time records corresponding to the filtered same type of power equipment; the abnormal time elimination processing includes: reading the historical stage event feedback field in the historical replacement time records corresponding to the filtered same type of power equipment, identifying the waiting time markers in the historical stage event feedback field that are unrelated to the on-site construction stage, and removing the time segments with the waiting time markers from the historical safety confirmation actual duration, the historical main construction actual duration, or the historical wiring processing actual duration, so as to form the historical safety confirmation actual duration, the historical main construction actual duration, and the historical wiring processing actual duration for calibration. Then, a safety confirmation calibration time is generated based on the actual duration of historical safety confirmations used for calibration; a main construction calibration time is generated based on the actual duration of historical main construction used for calibration; and a wiring processing calibration time is generated based on the actual duration of historical wiring processing used for calibration. The safety confirmation calibration time, the main construction calibration time, and the wiring processing calibration time are then encapsulated and associated with each other to form the construction calibration duration. The technical essence of the construction calibration duration is a phased time correction amount extracted from the historical actual construction time of similar power equipment, which is used to perform phased calibration of the candidate installation construction time cycle.

[0118] Preferably, in the specific determination process of step "construction calibration duration", a construction calibration source record is also established, and the historical replacement time record corresponding to the same type of power equipment, the historical replacement time screening record, the actual historical safety confirmation time for calibration, the actual historical main construction time for calibration, the actual historical wiring processing time for calibration, the safety confirmation calibration time, the main construction calibration time, and the wiring processing calibration time are written into the construction calibration source record. The construction calibration source record is used to carry the source field and stage attribution relationship of the construction calibration duration; wherein, the safety confirmation calibration time corresponds to the safety confirmation stage time occupancy in the candidate installation construction time cycle, the main construction calibration time corresponds to the main construction stage time occupancy in the candidate installation construction time cycle, and the wiring processing calibration time corresponds to the wiring processing stage time occupancy in the candidate installation construction time cycle. Through the construction calibration source record, the construction calibration duration is not used directly as an independent value, but enters the subsequent calibration process according to the stage attribution relationship, so that the candidate installation construction time cycle can be calibrated separately according to the safety confirmation stage, the main construction stage, and the wiring processing stage.

[0119] Preferably, the specific implementation process of the step "calibrating the candidate installation construction time cycle according to the construction calibration duration" is as follows: First, read the time occupancy of the safety confirmation stage, the main construction stage, and the wiring processing stage in the candidate installation construction time cycle, and read the safety confirmation calibration time, the main construction calibration time, and the wiring processing calibration time in the construction calibration source record. Then, read the preset minimum construction stage time occupancy configuration record; the preset minimum construction stage time occupancy configuration record includes a preset minimum safety confirmation time occupancy, a preset minimum main construction time occupancy, and a preset minimum wiring processing time occupancy. The preset minimum safety confirmation time occupancy is used to limit the lower limit of the calibrated safety confirmation stage time occupancy, the preset minimum main construction time occupancy is used to limit the lower limit of the calibrated main construction stage time occupancy, and the preset minimum wiring processing time occupancy is used to limit the lower limit of the calibrated wiring processing stage time occupancy. The time occupancy for the safety confirmation phase is then mapped to the safety confirmation calibration time to form a post-calibrated safety confirmation phase time occupancy; the time occupancy for the main construction phase is mapped to the main construction calibration time to form a post-calibrated main construction phase time occupancy; the time occupancy for the wiring processing phase is mapped to the wiring processing calibration time to form a post-calibrated wiring processing phase time occupancy. If the safety confirmation calibration time indicates that the historical safety confirmation time of the same type is longer than the safety confirmation phase time occupancy, then the post-calibrated safety confirmation phase time occupancy is increased by the corresponding calibration time based on the safety confirmation phase time occupancy; if the safety confirmation calibration time indicates that the historical safety confirmation time of the same type is shorter than the safety confirmation phase time occupancy, then the post-calibrated safety confirmation phase time occupancy is decreased by the corresponding calibration time based on the safety confirmation phase time occupancy, and the decreased post-calibrated safety confirmation phase time occupancy is not lower than the preset minimum safety confirmation time occupancy. The time occupancy for the main construction phase and the time occupancy for the wiring processing phase are calibrated using the same phase correspondence method to form the calibrated time occupancy for the main construction phase and the calibrated time occupancy for the wiring processing phase. The calibrated time occupancy for the main construction phase is not lower than the preset minimum main construction time occupancy, and the calibrated time occupancy for the wiring processing phase is not lower than the preset minimum wiring processing time occupancy. The technical essence of this calibration process is to feed back the actual construction time from the historical replacement time records corresponding to the same type of power equipment to the candidate installation construction time cycle, converting the candidate installation construction time cycle into construction cycle data that can be used for reverse layout processing.

[0120] Preferably, the specific pre-setting process of step "pre-setting minimum construction stage time occupancy configuration record" is as follows: Before calibrating the candidate installation construction time cycle, first read the equipment type identifier, voltage level identifier, number of wiring terminals, and installation position status identifier from the construction cycle input reading record, and read the construction safety boundary configuration data corresponding to the equipment type identifier, voltage level identifier, number of wiring terminals, and installation position status identifier; then, configure the pre-set minimum safety confirmation time occupancy, the pre-set minimum main construction time occupancy, and the pre-set minimum wiring processing time occupancy according to the construction safety boundary configuration data, and write the pre-set minimum safety confirmation time occupancy, the pre-set minimum main construction time occupancy, and the pre-set minimum wiring processing time occupancy into the pre-set minimum construction stage time occupancy configuration record. The preset minimum construction stage time occupancy configuration record is used to limit the calibrated stage time occupancy to no less than the corresponding minimum construction stage time occupancy when the actual historical time consumption of the construction calibration duration is shorter than the corresponding stage time occupancy in the candidate installation construction time cycle. This prevents the post-calibration safety confirmation stage time occupancy, the post-calibration main construction stage time occupancy, or the post-calibration wiring processing stage time occupancy from being excessively compressed by historical short-duration samples. The preset minimum construction stage time occupancy configuration record is subsequently written into the preset installation construction time cycle record along with the construction calibration source record when the preset installation construction time cycle is generated.

[0121] Preferably, the specific implementation process of step "generating the preset installation and construction time cycle for reverse layout processing" is as follows: After forming the time occupants for the post-calibration safety confirmation stage, the post-calibration main construction stage, and the post-calibration wiring processing stage, a preset installation and construction time cycle record is first established. The time occupants for the post-calibration safety confirmation stage, the post-calibration main construction stage, the post-calibration wiring processing stage, the construction stage sequence record, the construction calibration source record, the preset minimum construction stage time occupant configuration record, the equipment type identifier, the voltage level identifier, the number of wiring terminals, and the installation position status identifier are written into the preset installation and construction time cycle record. Subsequently, according to the chronological relationship between the safety confirmation stage, the main construction stage, and the wiring processing stage, the time occupants for the post-calibration safety confirmation stage, the post-calibration main construction stage, and the post-calibration wiring processing stage are encapsulated in a stage sequence to form the preset installation and construction time cycle. The technical essence of the preset installation and construction time cycle is the on-site construction cycle data formed after equipment attribute matching, terminal quantity configuration, installation position status confirmation, and historical replacement time calibration. This data is used for subsequent reverse arrangement processing along the historical timeline starting from the expected equipment downtime. Through the preset installation and construction time cycle, when determining the latest on-site construction start node, the calibrated safety confirmation stage time occupancy, the calibrated main construction stage time occupancy, and the calibrated wiring processing stage time occupancy can be directly read, ensuring that the latest on-site construction start node corresponds to the equipment type, voltage level, number of terminals, and installation position status of the power equipment.

[0122] Preferably, in the specific technical implementation of the step "generating the preset installation and construction time period for reverse arrangement processing", after the preset installation and construction time period is formed, a preset installation and construction time period verification record is also established, and the stage sequence and time occupancy in the preset installation and construction time period are verified. Specifically, the time occupancy of the calibration post-safety confirmation stage, the time occupancy of the calibration post-main construction stage, and the time occupancy of the calibration post-wiring processing stage in the preset installation and construction time period are read first, and it is verified whether the time occupancy of the calibration post-safety confirmation stage corresponds to the installation position status identifier, whether the time occupancy of the calibration post-main construction stage corresponds to the equipment type identifier and the voltage level identifier, and whether the time occupancy of the calibration post-wiring processing stage corresponds to the number of wiring terminals; then, the preset installation and construction time period that has passed the verification is written into the preset installation and construction time period verification record, and a correspondence is established between the preset installation and construction time period verification record and the candidate installation and construction time period, the construction calibration duration, the construction stage sequence record, the construction calibration source record, and the preset minimum construction stage time occupancy configuration record. The preset installation and construction time cycle verification record is used to refer back to the field source of the preset installation and construction time cycle in the subsequent reverse arrangement process, so as to prevent the preset installation and construction time cycle from becoming an isolated time field due to being separated from the candidate installation and construction time cycle, the construction calibration duration, the construction calibration source record and the preset minimum construction stage time placeholder configuration record.

[0123] This application provides a device for predicting the insulation life of power equipment and guiding maintenance project initiation. The device includes: a signal acquisition unit for capturing real-time leakage current timing signals of the power equipment; a noise stripping unit for stripping background noise from the real-time leakage current timing signals to extract target leakage current features, wherein the target leakage current features are timing waveform data after filtering out electromagnetic interference components; a time-effect estimation unit for aligning accelerated aging indicators under an isolated test environment with the target leakage current features to establish an insulation degradation evolution benchmark for the power equipment, and then estimating the remaining insulation time-effect prediction value based on the insulation degradation evolution benchmark; an instruction generation unit for parsing and determining the matching spare parts cycle parameters of the power equipment, and generating a maintenance trigger instruction when the remaining insulation time-effect prediction value falls within a time window determined based on the matching spare parts cycle parameters; and a collaborative orchestration unit for performing time-series collaborative orchestration processing based on the maintenance trigger instruction, the matching spare parts cycle parameters, and a preset installation and construction time cycle to generate a corresponding maintenance project initiation guidance data package output.

[0124] An embodiment of this application discloses an electronic device, which includes a memory and a processor communicatively connected to the memory; the memory stores a computer program executable by the processor, and the processor executes the computer program to implement the steps of the power equipment insulation life prediction and operation and maintenance project guidance method as described in any one of this application.

[0125] This application provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the steps of the power equipment insulation life prediction and operation and maintenance project guidance method as described in any one of this application.

[0126] This application provides a power equipment insulation life prediction and operation and maintenance project guidance system, comprising: a signal acquisition hardware terminal deployed at the electrical circuit connection of the power equipment for continuously acquiring leakage current data to generate the real-time leakage current timing signal; and an electronic device as described in this application, which establishes a communication link with the signal acquisition hardware terminal to receive the real-time leakage current timing signal and then executes the steps of the power equipment insulation life prediction and operation and maintenance project guidance method as described in any one of this application.

[0127] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for predicting the insulation life of power equipment and guiding project initiation for operation and maintenance, characterized in that, include: Capture real-time leakage current timing signals of power equipment; Background noise stripping is performed on the real-time leakage current time-series signal to extract the target leakage current feature quantity, which is the time-series waveform data after filtering out electromagnetic interference components. Accelerated aging indicators under isolated test conditions are aligned with the target leakage current feature quantity to establish an insulation degradation evolution benchmark for the power equipment. Based on this benchmark, the remaining insulation lifespan prediction value is derived. Matching spare parts cycle parameters for the power equipment are analyzed and determined. When the remaining insulation lifespan prediction value falls within the time window determined by the matching spare parts cycle parameters, an operation and maintenance trigger command is generated. Based on the operation and maintenance trigger command, the matching spare parts cycle parameters and a preset installation and construction time cycle are combined for time-series collaborative orchestration processing to generate a corresponding operation and maintenance project initiation guidance data package output.

2. The method according to claim 1, characterized in that, The step of performing background noise stripping on the real-time leakage current time-series signal to extract target leakage current features includes: Read the sampling time identifier, waveform amplitude sequence and frequency domain energy distribution data of the real-time leakage current time-series signal, and generate a noise stripping input record corresponding to the real-time leakage current time-series signal; The transient amplitude change location in the real-time leakage current timing signal is identified based on the noise stripping input record, and the transient electromagnetic pulse frequency range is determined in the frequency domain energy distribution data based on the transient amplitude change location. Based on the transient electromagnetic pulse frequency range and the preset frequency band interference suppression rules, determine the frequency band cutoff suppression threshold corresponding to each frequency sub-band; Based on the frequency band cutoff suppression threshold, the electromagnetic interference component in the real-time leakage current timing signal is segmented and suppressed, while retaining the core waveform segment that has the function of characterizing insulation degradation. The core waveform segments are backfilled according to the sampling time identifier to generate time-series waveform data after filtering out electromagnetic interference components, and the time-series waveform data is used as the target leakage current characteristic quantity.

3. The method according to claim 1, characterized in that, The step of establishing the accelerated aging index under the isolation test environment occurs before the feature alignment process of the accelerated aging index under the isolation test environment with the target leakage current characteristic. When establishing the accelerated aging indicators under the isolated test environment, the specific components include: Obtain a sample power device of the same type as the power device, and conduct accelerated aging tests on the sample power device in an isolated test environment according to preset reference temperature and humidity conditions; During the accelerated aging test, the first degradation waveform characteristic data of the sample power equipment is collected using the same sampling aperture as the real-time leakage current timing signal; Based on the test time nodes, waveform amplitude change status and peak position change status in the first degraded waveform feature data, extract the peak attenuation feature parameters corresponding to multiple preset time nodes respectively. The peak attenuation characteristic parameters, the preset reference temperature and humidity conditions, the equipment type, and the sampling aperture are associated and stored in the accelerated aging index record; The accelerated aging index is recorded and cached as the accelerated aging index for feature alignment processing with the target leakage current characteristic.

4. The method according to claim 1, characterized in that, The step of performing feature alignment processing between the accelerated aging index under the isolation test environment and the target leakage current characteristic quantity to establish the insulation degradation evolution benchmark of the power equipment includes: Read the peak attenuation characteristic parameters, test time nodes, and reference temperature and humidity conditions in the accelerated aging index, and read the core waveform segment, sampling time identifier, and frequency sub-band identifier in the target leakage current characteristic quantity; According to the preset feature aperture conversion rules, the peak attenuation feature parameters are converted into first degradation distribution description parameters, and the core waveform segments are converted into second degradation distribution description parameters. Based on the test time node, the sampling time identifier, and the frequency sub-band identifier, the first degradation distribution description parameter and the second degradation distribution description parameter are processed to correspond to time scales, generating candidate feature correspondences. Based on the candidate feature correspondence, feature transformation processing is performed on the first degenerate distribution description parameter until the difference between the transformed first degenerate distribution description parameter and the second degenerate distribution description parameter falls within a preset tolerance range; The candidate feature correspondence, peak attenuation feature parameter and core waveform segment corresponding to the preset tolerance range are bound together to generate the insulation degradation evolution benchmark, which characterizes the degradation correspondence between the accelerated aging index and the target leakage current feature quantity.

5. The method according to claim 1, characterized in that, The method of extrapolating the remaining insulation age prediction value based on the insulation degradation evolution benchmark includes: Read the feature correspondence mapping relationship, degradation time scale and insulation health attenuation benchmark in the insulation degradation evolution benchmark; Based on the feature mapping relationship, the target leakage current feature is mapped to the current degradation state node in the insulation health degradation benchmark; Based on the current degradation state node and the degradation time scale, configure degradation trend inference rules; According to the degradation trend deduction rules and the preset time step, the insulation degradation state corresponding to the target leakage current characteristic quantity is recursively processed to output multiple deduction state node information. The insulation health values ​​in each of the aforementioned simulation state node information are subjected to sequential decline detection processing to determine the target simulation state node corresponding to when the insulation health value reaches a preset critical breakdown value. Extract the time span between the current moment and the simulation time point corresponding to the target simulation state node, and use the time span as the predicted value of the remaining insulation aging.

6. The method according to claim 1, characterized in that, When it is confirmed that the predicted remaining insulation aging value falls within the time window determined based on the matching spare parts cycle parameters, an operation and maintenance trigger instruction is generated, including: Read the spare parts model matching field, spare parts supply response time, inventory transfer time and supply chain node identifier from the matching spare parts cycle parameters; Read the geographical location information of the deployment area of ​​the power equipment, and determine the first duration span required for the logistics transportation of replacement materials based on the geographical location information of the deployment area, the supply chain node identifier and the inventory transfer duration; Read the pre-approval rules for the site environment where the power equipment is located, and determine the second duration span required for site environment deployment based on the pre-approval rules; Based on the temporal connection between the spare parts supply stage, inventory allocation stage, logistics and transportation stage, and pre-approval stage, the spare parts supply response time, the first duration span, and the second duration span are configured by stage duration cascading to generate a comprehensive time span corresponding to the matching spare parts cycle parameters. The comprehensive time span is extended according to the preset margin parameter to generate the time window used to trigger the operation and maintenance project initiation judgment; When the comparison confirms that the predicted value of the remaining insulation duration is less than or equal to the window duration corresponding to the time window, the operation and maintenance trigger instruction carrying the equipment identifier of the power equipment, the predicted value of the remaining insulation duration, the matching spare parts cycle parameters, and the time window is generated; The operation and maintenance triggering instructions are distributed to the operation and maintenance control bus.

7. A device for predicting the insulation life of power equipment and guiding project initiation for operation and maintenance, characterized in that, include: The signal acquisition unit is used to capture the real-time leakage current timing signal of power equipment. The noise stripping unit is used to perform background noise stripping processing on the real-time leakage current timing signal to extract the target leakage current feature quantity, which is the timing waveform data after filtering out electromagnetic interference components. The aging prediction unit is used to perform feature alignment processing between the accelerated aging index under the isolation test environment and the target leakage current characteristic quantity, so as to establish the insulation degradation evolution benchmark of the power equipment, and then deduce the remaining insulation aging prediction value based on the insulation degradation evolution benchmark. The instruction generation unit is used to parse and determine the matching spare parts cycle parameters of the power equipment, and generate an operation and maintenance trigger instruction when it is confirmed that the remaining insulation aging prediction value falls within the time window determined based on the matching spare parts cycle parameters. The collaborative orchestration unit is used to perform time-series collaborative orchestration processing based on the operation and maintenance triggering instructions, the matching spare parts cycle parameters, and the preset installation and construction time cycle, so as to generate the corresponding operation and maintenance project initiation guidance data package output.

8. An electronic device, characterized in that, It includes a memory and a processor communicatively connected to the memory; the memory stores a computer program that can be executed by the processor, and the processor executes the computer program to implement the steps of the power equipment insulation life prediction and operation and maintenance project guidance method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the power equipment insulation life prediction and operation and maintenance project guidance method as described in any one of claims 1 to 6.

10. A power equipment insulation life prediction and operation and maintenance project initiation guidance system, characterized in that, include: A signal acquisition hardware terminal is deployed at the electrical circuit connection of the power equipment to continuously acquire leakage current data and convert it into the real-time leakage current timing signal. The electronic device as described in claim 8 establishes a communication link with the signal acquisition hardware terminal to receive the real-time leakage current timing signal, and then executes the steps of the power equipment insulation life prediction and operation and maintenance project guidance method as described in any one of claims 1 to 6.

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