A ring main unit state early warning method and system and a ring main unit

Abstract

The present application relates to power distribution equipment state monitoring and fault early warning technical field, especially relates to a kind of ring net box state early warning method, system and ring net box.The method obtains the electrical monitoring data stream of ring net box, mechanical monitoring data stream and box body environmental condition data;When electrical monitoring data stream meets transient trigger condition, event time marker is generated, and electrical waveform analysis window and mechanical waveform analysis window are respectively latched;Extract the feature point representing the start of mechanical action and the end of electrical transient, calculate the cross-modal action time difference Δt;When Δt crosses time difference degradation threshold, combined with box body environmental condition data, joint gate determination is executed, and in transient capture retest mode, action time difference Δt' is updated based on subsequent continuous action event and the result is output.The present application can improve the identification sensitivity of early slight mechanical degradation and implicit jamming, reduce false alarms caused by complex environmental factors, and improve the ability to distinguish between environmental-induced transient anomalies and mechanical intrinsic sustained anomalies.

Description

Technical Field

[0001] This invention relates to the field of power distribution equipment condition monitoring and fault early warning technology, and in particular to a ring main unit condition early warning method, system and ring main unit. Background Technology Ring main units, as commonly used switchgear in power distribution networks, are widely used in urban substations, outdoor box-type distribution nodes, and other power distribution scenarios. With the development of primary and secondary integration technology, in addition to the primary electrical circuits and operating mechanisms, ring main units typically integrate secondary functional modules such as status monitoring, information acquisition, and fault early warning, enabling online monitoring of electrical quantities, mechanical motion information, and environmental parameters of the ring main unit during operation.

[0002] Existing ring main unit (RNB) condition monitoring solutions typically collect data such as current, voltage, mechanical vibration, temperature, and humidity, and output alarm results based on single threshold judgment, single signal anomaly identification, or simple parallel analysis of multiple data. While this type of solution is effective in identifying obvious faults or severe anomalies, it often struggles to reliably identify latent anomalies such as early lag, slight jamming, and localized degradation that occur during the RNB's opening and closing, arc extinguishing, and mechanical response processes. Especially in the same action event, the electrical and mechanical processes are usually closely related, and most existing solutions lack effective utilization of their correlation characteristics, resulting in a relatively crude judgment of abnormal states.

[0003] On the other hand, ring main units operate in outdoor or semi-outdoor environments for extended periods, making them susceptible to environmental factors such as low temperatures, high humidity, condensation, and rapid fluctuations in temperature and humidity. These environmental changes can not only increase the resistance of the operating mechanism and slow down its response, but also alter the acquisition status and characteristics of transient and mechanical waveforms. Under such conditions, if fixed thresholds or static alarm logic are still used, false alarms are easily caused by environmental disturbances, while missed alarms may occur because abnormal characteristics are masked by environmental factors, making it difficult to balance early warning sensitivity and alarm accuracy.

[0004] Furthermore, existing technologies typically output alarms directly based on a single monitoring result after detecting anomalies, lacking further judgment and verification processes for subsequent actions. Existing solutions often struggle to effectively distinguish between transient anomalies induced by environmental factors and persistent anomalies caused by actual mechanical degradation, leading to unstable status assessments and insufficient targeted maintenance and repair measures.

[0005] Therefore, how to effectively correlate and analyze the electrical and mechanical characteristics of ring main units during operation in complex environments, and reduce false alarms and missed alarms caused by environmental disturbances while ensuring early warning sensitivity, has become a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0006] (i) The technical problem to be solved by the present invention is that the existing ring network box condition monitoring technology has low sensitivity to early slight mechanical deterioration and hidden jamming, and is easily affected by environmental factors such as temperature and humidity changes and condensation in complex outdoor working conditions, resulting in false alarms. This makes it difficult for the system to reliably distinguish between the transient response delay induced by the environment and the continuous abnormality caused by the actual deterioration of the mechanical body.

[0007] (II) Technical Solution To address the aforementioned technical problems, this invention provides a ring network enclosure status early warning method, applicable to integrated primary and secondary ring network enclosures, comprising the following steps: S1. Obtain the electrical monitoring data stream, mechanical monitoring data stream, and environmental condition data of the ring network box; S2. In response to the electrical monitoring data stream meeting the preset transient triggering conditions, an event time marker is generated, and the corresponding electrical waveform analysis window and mechanical waveform analysis window are latched based on the event time marker. S3. Extract the first mechanical feature point representing the start of mechanical action from the mechanical waveform analysis window, and extract the first electrical feature point representing the end of electrical transient from the electrical waveform analysis window; S4. Calculate the cross-modal motion time difference Δt between the first mechanical feature point and the first electrical feature point; S5. When the cross-modal action time difference Δt exceeds the preset time difference degradation threshold, a joint gating judgment is performed based on the enclosure environmental condition data, and one of the following processing paths is selected for execution: If the environmental operating conditions data of the enclosure meet the preset environmental risk judgment conditions, then the transient capture and retest mode will be triggered. If the environmental operating condition data of the enclosure does not meet the preset environmental risk judgment conditions, a deterioration alarm will be output. S6. In the transient capture and retest mode, the action time difference Δt′ is updated and calculated based on the subsequent continuous action events of the ring network box, and the confirmed degradation alarm or the environmental degradation recovery record is output based on the evolution consistency evaluation result of the action time difference Δt′.

[0008] Compared with existing technologies, by generating event time stamps when the electrical monitoring data stream meets the transient triggering conditions, and latching the corresponding electrical waveform analysis windows and mechanical waveform analysis windows based on the event time stamps, the electrical and mechanical processes under the same action event can be unified under the same event benchmark for extraction and analysis. This avoids the problem of rough identification caused by relying on a single signal or making simple parallel judgments on multiple source signals in existing technologies, thereby improving the stability and pertinence of identifying abnormal action states.

[0009] By extracting the first mechanical feature point representing the start of mechanical action and the first electrical feature point representing the end of electrical transient, and calculating the cross-modal action time difference Δt between the two, abnormal states can be judged by utilizing the correlation changes between the mechanical and electrical processes in the same action event. Compared with the traditional fixed threshold alarm method, this is more conducive to improving the sensitivity of early slight mechanical degradation and latent jamming.

[0010] When the cross-modal action time difference Δt exceeds a preset time difference degradation threshold, joint gating judgment is performed in conjunction with the environmental operating conditions data of the enclosure. When the environmental risk judgment conditions are met, the transient capture and retest mode is triggered. When the environmental risk judgment conditions are not met, a degradation alarm is directly output. In the transient capture and retest mode, the action time difference Δt′ is updated and calculated based on subsequent continuous action events. Then, based on the consistency evaluation result of the evolution of the action time difference Δt′, a confirmed degradation alarm is output or an environmental degradation regression record is generated. This can balance the warning sensitivity and judgment reliability under complex outdoor operating conditions, reduce false alarms caused by environmental factors such as temperature and humidity changes and condensation, and improve the ability to distinguish between environmentally induced transient response delays and continuous anomalies caused by the actual degradation of the mechanical body.

[0011] Further, in step S2, latching the corresponding electrical waveform analysis window and mechanical waveform analysis window based on the event time marker includes: Using the trigger time corresponding to the event time marker as the boundary, the steady-state historical data segment with a preset baseline duration is extracted in reverse from the preset buffer area, and the transient evolution data segment with a preset transient duration is extracted in forward direction, so as to combine and construct the electrical waveform analysis window and the mechanical waveform analysis window with an asymmetric time span. After the latch is completed, the re-trigger suppression logic is triggered to shield the newly added transient triggering conditions in the electrical monitoring data stream within a preset dead time window.

[0012] The above method can simultaneously retain stable reference information before triggering and key transient changes after triggering under the same triggering event. This ensures that subsequent feature extraction has both baseline reference and covers the complete action evolution range, thereby avoiding feature distortion caused by excessively narrow sampling windows or missing time-domain segments, and improving the stability and correspondence of mechanical and electrical feature point extraction. Furthermore, by setting re-trigger suppression within the dead-zone time window, repeated triggering caused by electromagnetic oscillations, transient glitches, etc., during a single action can be effectively suppressed, preventing the same action event from being mistakenly segmented into multiple analysis segments, thus ensuring the consistency and reliability of subsequent cross-modal action time difference calculations.

[0013] Furthermore, prior to step S3, the procedure also includes: Saturation mask verification is performed on the data in the mechanical waveform analysis window and the electrical waveform analysis window to remove invalid data segments that exceed the hardware range limit or match the preset impulse interference characteristics; The first mechanical feature point is obtained by extracting at least one feature from the following set: the first peak crossing point of the vibration envelope within the mechanical waveform analysis window, the energy integral step point of the high frequency band, and the energy threshold crossing point of the preset frequency band. The first electrical feature point is obtained by extracting at least one feature from the following set: the stable zero-crossing point after transient decay within the electrical waveform analysis window, the disappearance point of the high-frequency component of the arc in the preset frequency band, and the termination point of transient decay.

[0014] Based on the completion of analysis window latching and suppression of repeated triggering, abnormal segments in the electrical and mechanical waveforms are further masked and removed. This can eliminate the interference of spurious signals introduced by sensor saturation, instantaneous impact, or local distortion on subsequent feature extraction, and prevent locally distorted segments from being misjudged as the true start point or transient end point, thus ensuring that the key time points used to calculate the cross-modal motion time difference are based on valid data. At the same time, the mechanical side uses the first peak crossing point of the vibration envelope, the step point of high-frequency energy integration, or the crossing point of the preset frequency band energy threshold to characterize the start of the motion. In essence, this captures the transient response of the mechanism at the start of motion from three different perspectives: amplitude change, energy transition, and frequency band response. The electrical side uses the stable zero-crossing point after transient decay, the disappearance point of the high-frequency component of the arc, or the termination point of transient decay to characterize the end of the electrical process. This can characterize the termination time of the electrical process from different levels, such as the recovery of current stability, the fading of arc characteristics, and the end of transient response. Thus, on the one hand, the adaptability of feature point extraction under different working conditions and signal quality conditions is improved, and on the other hand, the calculation of subsequent action time difference can better reflect the real timing relationship between mechanical and electrical processes.

[0015] Furthermore, in step S5, the preset environmental risk assessment conditions include at least one of the following conditions: The dew point proximity calculated based on the environmental operating conditions data of the enclosure is less than the preset safety condensation margin. The ambient temperature represented by the environmental operating condition data of the enclosure falls within the preset low-temperature risk range; Within a preset time window, the rate of change of ambient temperature or the rate of change of ambient humidity, as represented by the environmental condition data of the enclosure, exceeds a preset abrupt change threshold.

[0016] By using dew point proximity, low-temperature risk range, and temperature and humidity change rate as environmental risk assessment criteria, previously ambiguous environmental disturbance factors can be transformed into detectable and comparable quantifiable metrics. Specifically, dew point proximity characterizes the risk level of condensation inside the enclosure, the low-temperature risk range reflects the likelihood of increased resistance in mechanical movements, and the temperature and humidity change rate captures the disturbances caused by short-term environmental changes to the operational process. This allows subsequent gating decisions to be based on specific environmental parameters, avoiding direct alarm output based solely on a single abnormal signal, thereby improving the specificity and reliability of environmental factor identification.

[0017] Furthermore, after triggering the entry into the transient capture retest mode, the method further includes: Generate underlying sampling link configuration instructions to perform reverse adaptive adjustment on the mechanical monitoring channel corresponding to the mechanical monitoring data stream. The reverse adaptive adjustment includes at least one of the following operations: Dynamically lower the hardware trigger threshold of the mechanical monitoring channel; Increase the analog-to-digital conversion sampling frequency of the mechanical monitoring channel; Increase the storage depth used to latch the mechanical waveform analysis window; Adjust the gain amplification level or filter bandwidth of the mechanical monitoring channel.

[0018] After determining the existence of environmental risks, instead of directly continuing the assessment using the original sampling configuration, a reverse adaptive adjustment is performed on the mechanical monitoring channel. This allows the sampling link to switch from a conventional monitoring state to a retesting state more suitable for capturing weak anomalies, transient states, and subtle changes. Specifically, lowering the hardware trigger threshold helps to capture the initial response caused by slight mechanical hysteresis earlier; increasing the analog-to-digital conversion sampling frequency helps to retain more complete transient details; increasing the storage depth ensures sufficient analysis time while improving sampling accuracy; and adjusting the gain amplification level or filter band helps to enhance target characteristics and suppress irrelevant noise. Therefore, even in operating conditions with strong environmental interference and weak anomaly characteristics, the resolution and effectiveness of subsequent retesting data can be improved.

[0019] Furthermore, the step of outputting a confirmed degradation alarm or generating an environmental degradation recovery record based on the evolution consistency assessment result of the action time difference Δt′ includes: If, in the transient capture retest mode, the action time difference Δt′ corresponding to the action events for a consecutive preset number of times exceeds the time difference degradation threshold, and the fluctuation deviation of the action time difference Δt′ falls into the preset consistency judgment band, then the confirmed degradation alarm is output. If the updated action time difference Δt′ falls back to within the preset hysteresis dead zone bandwidth, and the state convergence duration continues to meet the preset minimum cooldown dwell time, then the state regression condition is determined to be met. In response to the state recovery condition being met, an environmental degradation recovery record associated with the enclosure environmental condition data is generated, and the underlying sampling link configuration instruction is revoked to exit the transient capture retest mode.

[0020] After entering the transient capture retest mode, the final conclusion is no longer given directly based on a single anomaly result. Instead, a consistency assessment of the evolution of action time difference under continuous action events is introduced, changing the judgment basis from a one-time limit violation to trend confirmation. If the action time difference of multiple consecutive actions remains above the limit and the fluctuation deviation falls within the consistency judgment zone, it indicates that the anomaly is not an occasional disturbance, but has persistence and stability, thereby improving the reliability of the diagnostic alarm. If the action time difference falls back to within the hysteresis dead zone bandwidth and continues to reach the minimum cooling dwell time, it indicates that the previous anomaly has tended to subside and has the conditions for recovery. At this time, an environment degradation recovery record is generated and the underlying sampling link configuration command is revoked, which enables the system to exit the enhanced retest state in a timely manner and avoid the resource occupation and false triggering risks caused by maintaining a high-sensitivity configuration for a long time.

[0021] Furthermore, when the state return condition is not met in the transient capture and retest mode, and the environmental condition data of the enclosure meets the preset environmental risk judgment condition, the method further includes: Output environmental intervention linkage command to drive the environmental intervention device configured in the ring network box to perform at least one of the environmental adjustment operations, including heating and dehumidification, within a preset intervention time window; In subsequent action events that occur after the completion of the environmental adjustment operation, update and calculate the verification action time difference Δt″; If the time difference Δt″ of the verification action falls back into the hysteresis dead zone bandwidth, an environmental intervention and defect elimination record is generated, and the underlying sampling link configuration command is revoked to exit the transient capture retest mode; If the time difference Δt″ of the verification action exceeds the time difference degradation threshold, an alarm confirming irreversible mechanical degradation will be output.

[0022] If the retest mode still fails to meet the regression conditions and the environmental risk persists, further environmental adjustment operations are introduced. This is equivalent to first actively weakening the external disturbances that may cause anomalies, and then verifying the action time difference. If the verified action time difference falls back to within the hysteresis dead zone bandwidth after intervention, it indicates that the previous anomaly was mainly affected by environmental factors. At this time, generating an environmental intervention and eliminating the defect record and exiting the retest mode helps to avoid misjudging recoverable environmental disturbances as mechanical failures. If several prognostic verification action time differences still exceed the time difference degradation threshold, it indicates that the anomaly is not simply caused by environmental factors, but is more likely to originate from the continuous degradation of the mechanical body, thus providing a more reliable basis for the diagnosis of irreversible mechanical degradation.

[0023] This invention also provides a ring main unit status early warning system, applied to a primary and secondary integrated ring main unit, the system comprising: An electrical monitoring channel is used to acquire the electrical monitoring data stream of the ring network box; A mechanical monitoring channel is used to acquire the mechanical monitoring data stream of the ring network box; An environmental condition acquisition unit is used to acquire environmental condition data of the ring network box. The waveform latching module is used to generate an event time marker in response to the electrical monitoring data stream meeting a preset transient triggering condition, and to latch the corresponding electrical waveform analysis window and mechanical waveform analysis window based on the event time marker respectively; The feature extraction module is used to extract a first mechanical feature point representing the start of mechanical action from the mechanical waveform analysis window, and to extract a first electrical feature point representing the end of electrical transient from the electrical waveform analysis window. The time difference calculation module is used to calculate the cross-modal motion time difference Δt between the first mechanical feature point and the first electrical feature point; The joint gating module is used to perform joint gating judgment based on the enclosure environmental condition data when the cross-modal action time difference Δt exceeds a preset time difference degradation threshold, and select one of the following processing paths to execute: If the environmental operating conditions data of the enclosure meet the preset environmental risk judgment conditions, then the transient capture and retest mode will be triggered. If the environmental operating condition data of the enclosure does not meet the preset environmental risk judgment conditions, a deterioration alarm will be output. The retest evaluation module is used to update and calculate the action time difference Δt′ based on the subsequent continuous action events of the ring network box in the transient capture retest mode, and output a confirmed degradation alarm or generate an environmental degradation recovery record based on the evolution consistency evaluation result of the action time difference Δt′.

[0024] The system integrates electrical monitoring, mechanical monitoring, environmental data acquisition, waveform latching, feature extraction, action time difference calculation, joint gating, and retesting and evaluation functions in a modular manner. This ensures that data acquisition, event latching, decision analysis, and result output in the aforementioned methods all have corresponding hardware or functional carriers, thus providing system support for the practical deployment of ring main unit status early warning methods. By arranging the various functional units within the same early warning system, electrical processes, mechanical processes, and environmental conditions can be acquired, processed, and linked for judgment under a unified architecture. This facilitates the formation of a complete status early warning implementation link within the integrated primary and secondary ring main units, improving the integration and engineering adaptability of the method's implementation.

[0025] The present invention also provides a primary and secondary integrated ring network box, comprising: a box body, a primary electrical circuit and operating mechanism disposed in the box body, and a secondary status early warning device; The secondary status early warning device includes a memory and a processor; The memory is used to store computer-executable instructions; The processor is used to execute the computer-executable instructions to implement the ring network box status early warning method as described in any of the above.

[0026] By integrating the secondary status early warning device into the integrated primary and secondary ring network box, and using a memory and processor to execute the ring network box status early warning method, the status early warning function can directly rely on the ring network box itself to complete data acquisition, analysis and judgment, and result output without the need for additional configuration of an independent external diagnostic terminal. This allows the electrical circuit, operating mechanism, and early warning function to form an integrated deployment structure, which is convenient for direct implementation in actual equipment and improves the integration and engineering adaptability of the whole machine application.

[0027] The present invention also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the ring network box status early warning method as described in any of the preceding claims.

[0028] By storing the computer-executable instructions for implementing the ring network box status early warning method in a computer-readable storage medium, the relevant functions can be deployed programmatically on different processing platforms. This allows for portability, invocation, and execution without changing the core logic of the method, thereby providing software carrier support for the program implementation, device loading, and system expansion of the ring network box status early warning method, and improving the flexibility of the method in different application environments.

[0029] (III) Beneficial effects of the present invention: By associating and extracting the electrical and mechanical processes under the same action event, and using the cross-modal action time difference between the two as the anomaly criterion, combined with the environmental condition gating judgment and subsequent action consistency assessment, a higher sensitivity identification of early slight mechanical degradation and hidden jamming of the ring network box is achieved. At the same time, false alarms caused by complex environmental factors such as temperature and humidity changes and condensation are reduced, and the ability to distinguish between environmentally induced transient anomalies and continuous mechanical anomalies is improved. Attached Figure Description

[0030] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0031] Figure 1 This is a schematic diagram of the structure of a ring network box status early warning system provided in an embodiment of the present invention in a primary and secondary integrated ring network box; Figure 2 This is a flowchart illustrating a ring network box status early warning method provided in one embodiment of the present invention. Detailed Implementation

[0032] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] This embodiment provides a ring main unit (RMU) status early warning method, system, and RMU, and further provides a computer-readable storage medium corresponding to the method. The RMU is a primary and secondary integrated RMU, and the RMU status early warning method is deployed inside the integrated RMU. The RMU includes a metal enclosure, inside which is installed a primary electrical circuit, an operating mechanism, and a secondary status early warning device that works in conjunction with it. The primary electrical circuit is used to complete the connection and disconnection of the power distribution circuit, the operating mechanism is used to drive the switch body to perform opening and closing actions, and the secondary status early warning device is used to collect, analyze, and output early warnings for the electrical response, mechanical response, and enclosure environment status during the RMU's operation. In this embodiment, the primary electrical circuit includes a switch body, connecting conductors, and busbars; the operating mechanism includes a driving component, a transmission component, and an execution component; and the secondary status early warning device is installed in the secondary control area inside the enclosure and connected to the primary side and auxiliary components through a sampling interface and a control interface.

[0034] To acquire multi-source information during the operation of the ring main unit, the secondary state early warning device is connected to an electrical monitoring channel, a mechanical monitoring channel, and an environmental condition acquisition unit. The electrical monitoring channel acquires electrical monitoring data streams during the ring main unit's operation. These data streams can be current data, voltage data, or electrical transient response data related to the arc process. In this embodiment, a high-frequency sampling branch connected to the primary electrical circuit sampling point acquires the electrical monitoring data streams. The mechanical monitoring channel acquires mechanical monitoring data streams during the operation of the operating mechanism. These data streams can be vibration data, acceleration data, acoustic data, or other data characterizing the mechanism's motion state. In this embodiment, a vibration sensor installed near the transmission part of the operating mechanism acquires the mechanical monitoring data streams. The environmental condition acquisition unit acquires environmental condition data inside the ring main unit. This environmental condition data includes at least temperature and humidity data. In this embodiment, temperature and humidity sensors are installed inside the ring main unit near the mechanism area and in areas susceptible to condensation to continuously acquire environmental condition data.

[0035] The secondary state early warning device includes a processor and a memory, and is connected to the aforementioned electrical monitoring channel, mechanical monitoring channel, environmental condition acquisition unit, and linkage output interface. The processor can be an industrial controller, DSP, MCU, or a heterogeneous processing architecture where a main control processor and a high-speed sampling logic unit work together. The memory stores program instructions, operating parameters, and sampled data. In this embodiment, the processor is implemented using a combination of a main control processor and a high-speed sampling logic unit. The main control processor is responsible for feature extraction, action time difference calculation, environmental risk assessment, retest evaluation, and intervention linkage control. The high-speed sampling logic unit is responsible for continuous writing of sampled data, event trigger response, and waveform latching control. The memory includes a program storage area, a parameter storage area, and a preset buffer area for caching sampled data. In this embodiment, the preset buffer area uses a ring buffer to continuously update and store the electrical monitoring data stream and the mechanical monitoring data stream. In other embodiments, the preset buffer area can also use a double buffer or other data cache structure that can retain historical sampled data and support event latching.

[0036] In this embodiment, before entering the processor for analysis, the electrical monitoring data stream and the mechanical monitoring data stream first pass through the signal conditioning and analog-to-digital conversion links of the corresponding sampling front-end, and are continuously written into the preset buffer. That is, when the ring main unit does not experience any opening or closing action, the secondary state early warning device is already in a continuous sampling and buffer update state, and the buffer always retains a segment of historical data before the current moment. When the electrical monitoring data stream shows a waveform change that meets the preset transient triggering conditions, the processor generates a corresponding event time stamp, and performs latching on the data segment in the buffer corresponding to the current action event based on the event time stamp, thereby forming the electrical waveform analysis window and the mechanical waveform analysis window used for subsequent analysis. Since the data in the analysis windows comes from the cached data continuously written before and after the action occurs, its content not only includes the transient evolution process after the trigger, but also the steady-state reference information before the trigger, thus providing a continuous and complete data foundation for subsequent feature extraction and action time difference calculation.

[0037] In addition to data acquisition and analysis, the secondary state early warning device is also connected to the underlying sampling link adjustment interface and the environmental intervention device drive interface. The underlying sampling link adjustment interface receives configuration commands from the processor to adjust the trigger threshold, sampling frequency, buffer depth, and gain or filtering parameters of the mechanical monitoring channel. The environmental intervention device drive interface receives linkage control commands from the processor to drive the environmental intervention device installed inside the enclosure to perform environmental adjustment operations. The environmental intervention device can be a heater, a dehumidifier, or a combination of both. In this embodiment, an anti-condensation heating component and a dehumidification component are used together to adjust the local environment inside the enclosure when environmental risks persist.

[0038] Therefore, in this embodiment, a complete status early warning execution foundation has been formed inside the ring main unit: the electrical monitoring channel and the mechanical monitoring channel continuously acquire the electrical and mechanical responses during the operation process; the environmental condition acquisition unit continuously acquires the internal environmental status of the unit; the processor and memory cache, latch, analyze, and determine the multi-source data, and further adjust the sampling link parameters or drive the environmental intervention device to perform environmental regulation when necessary. Based on the above hardware configuration, data flow relationship, and linkage interface configuration, the specific execution process of the ring main unit status early warning method is further explained below.

[0039] like Figure 2 As shown, based on the aforementioned hardware configuration, data link, and interface configuration, the ring network box status early warning method is continuously executed in the secondary status early warning device. The specific implementation process of each step is further explained below in conjunction with this embodiment.

[0040] Step S1: Multi-source data acquisition During the energized operation of the ring main unit, the electrical monitoring channel, mechanical monitoring channel, and environmental condition acquisition unit operate continuously. The electrical monitoring channel continuously samples the electrical response during the operation of a primary electrical circuit, forming an electrical monitoring data stream. The mechanical monitoring channel continuously samples the mechanical response during the operation of the operating mechanism at the same time reference as the electrical monitoring data stream, forming a mechanical monitoring data stream. Both high-frequency data streams are continuously written to a preset buffer after signal conditioning and analog-to-digital conversion.

[0041] The environmental condition acquisition unit periodically collects temperature and humidity data inside the enclosure, generating environmental condition data. Since temperature and humidity are relatively slow-changing environmental quantities, their update frequency is lower than that of electrical and mechanical monitoring data streams. This ensures that the internal temperature and humidity conditions and trends of the enclosure are reflected while reducing unnecessary data processing burden.

[0042] In this embodiment, the preset buffer adopts a ring cache form. The electrical monitoring data stream and the mechanical monitoring data stream are continuously written and updated before the action event occurs. Therefore, at any time, the system retains a segment of historical electrical and mechanical data before the current time, providing the original data basis for subsequent event triggering and analysis window latching.

[0043] Step S2: Event Triggering and Dual-Window Latching The processor performs transient trigger determination on the continuously updated electrical monitoring data stream. The transient trigger condition is established using a combined determination of amplitude abrupt change and rate of change. When the amplitude change corresponding to a sampling point in the electrical monitoring data stream exceeds a preset amplitude threshold, or the rate of change between adjacent sampling points exceeds a preset slope threshold, the processor determines this moment as a new action event trigger moment and generates a corresponding event timestamp. The event timestamp corresponds one-to-one with the trigger moment and serves as a common time reference for subsequent electrical waveform analysis windows and mechanical waveform analysis windows.

[0044] After generating the event timestamp, the processor does not restart sampling but directly forms an analysis window based on the continuously written data in the preset buffer. Specifically, taking the trigger time corresponding to the event timestamp as the boundary, a steady-state historical data segment of a preset baseline duration is extracted from the circular buffer, and a transient evolution data segment of a preset transient duration is retained to combine and construct an electrical waveform analysis window and a mechanical waveform analysis window with an asymmetric time span. The analysis window formed in this way retains the stable background information before the action occurs and can cover the main transient evolution interval after the action begins. In this embodiment, the preset baseline duration is 50 milliseconds before the trigger time, and the preset transient duration is 200 milliseconds after the trigger time; for different types of ring main units or different durations of action processes, the preset baseline duration and preset transient duration can be configured and adjusted in memory.

[0045] Because the electrical monitoring data stream and the mechanical monitoring data stream are continuously written to the same preset cache system under a unified time reference, the electrical waveform analysis window and the mechanical waveform analysis window formed during the latching process can correspond to the same action event and maintain a consistent start and end reference on the time axis. Therefore, subsequent mechanical and electrical feature points are all based on continuous data from the same action event.

[0046] To prevent electromagnetic oscillations, ringing glitches, or localized secondary impacts accompanying a single opening or closing action from being identified as new independent action events, the processor immediately triggers re-trigger suppression logic and starts the corresponding dead-time timing process after latching the electrical waveform analysis window and mechanical waveform analysis window. Within the dead-time window, even if the electrical monitoring data stream meets the transient triggering condition again, no new event time stamp is generated. In this embodiment, the dead-time window is set to 500 milliseconds to cover the short-term disturbance interval after the completion of a single action; in other embodiments, the dead-time window can be adjusted according to the action duration of the switch body, the mechanical rebound time, and the electrical transient decay time. Through the above re-trigger suppression processing, a single actual opening or closing action corresponds to only one set of valid electrical waveform analysis windows and mechanical waveform analysis windows, thereby avoiding the same event being mistakenly segmented into multiple analysis segments and ensuring that the data benchmark for subsequent feature extraction and action time difference calculation remains unique.

[0047] After latching the electrical waveform analysis window and the mechanical waveform analysis window as described in step S2, the processor continues to perform preprocessing and feature extraction on the data within the two types of analysis windows to form the key time points required for subsequent action time difference calculations. The following provides a further explanation of the specific implementation processes of steps S3 and S4.

[0048] Step S3: Feature Point Extraction In this embodiment, before formally extracting mechanical and electrical feature points, the processor first performs validity screening on the data within the mechanical waveform analysis window and the electrical waveform analysis window. Specifically, the processor detects the amplitude range, continuous saturation state, and local impact characteristics of each sampling point within the analysis window. When the sampling value of a data segment continuously reaches or exceeds the upper or lower limit of the hardware range, or when the instantaneous amplitude, duration, and local energy distribution of the data segment meet the preset impact interference characteristics, the data segment is marked as an invalid data segment and masked out in subsequent calculations. In this embodiment, the hardware range limit is jointly determined by the sensor output range and the full-scale range of the analog-to-digital conversion link, and the preset impact interference characteristics are jointly limited by the impact peak value, impact duration, and energy mutation amount of adjacent windows. Through this preprocessing, false signals introduced by sensor saturation, instantaneous collisions, or local distortions can be eliminated in advance, avoiding the extraction of the start time of mechanical actions and the end time of electrical processes based on distorted segments.

[0049] After completing the mask verification, the processor performs the first mechanical feature point extraction on the mechanical waveform analysis window. The first mechanical feature point is used to characterize the start time of the mechanical action, and in this embodiment, it can be obtained using any of the following methods.

[0050] First, the envelope of the mechanical waveform is extracted, and the baseline amplitude formed by the steady-state historical data segment before the action is used as a reference. When the vibration envelope first exceeds the sum of the baseline amplitude and the preset incremental threshold, the crossing moment is taken as the first mechanical feature point. If the mechanical waveform envelope is denoted as Aenv(k), the baseline mean is denoted as A0, and the mechanical threshold is denoted as Thm, then the first sampling moment that satisfies "Aenv(k) is greater than or equal to A0 plus Thm" can be taken as the start moment of the mechanical action.

[0051] Secondly, bandpass filtering is performed on the mechanical waveform within a preset high-frequency band, and the energy integral is calculated within a sliding time window. When the energy integral in the high-frequency band shows a step increase relative to the reference interval before the action, the start time of the step is taken as the first mechanical feature point.

[0052] Third, the frequency band energy of the mechanical waveform within the preset frequency band is continuously estimated. When the frequency band energy first exceeds the preset energy threshold, the corresponding moment is taken as the first mechanical feature point.

[0053] In this embodiment, the peak crossing point of the first wave of the vibration envelope is preferably used as the first mechanical feature point, and the energy integration step point of the high-frequency band is used as the verification reference. In other embodiments, one or a combination of the above-mentioned apertures can be selected according to the sensor type, installation position and structural characteristics of the mechanism.

[0054] Subsequently, the processor performs first electrical feature point extraction on the electrical waveform analysis window. The first electrical feature point is used to characterize the end time of the electrical transient process, and in this embodiment, it can be obtained using any of the following methods.

[0055] Firstly, zero-point detection is performed on the electrical waveform, and the amplitude stability condition after transient decay is considered for judgment. When the fluctuation amplitude of multiple consecutive sampling points after the electrical waveform crosses zero falls within the preset stable bandwidth, the stable zero-crossing moment is taken as the first electrical feature point. If the electrical sampling sequence is denoted as i(k) and the stable bandwidth is denoted as The, then under the condition that the zero point crosses and the absolute value of i(k+j) is less than or equal to The for the subsequent M consecutive sampling points, the corresponding zero-crossing moment can be identified as a stable zero-crossing point.

[0056] Secondly, frequency band energy is extracted from the high-frequency components characterizing the electric arc process. When the high-frequency energy of the electric arc in the preset frequency band is continuously lower than the preset threshold, the corresponding energy disappearance time is taken as the first electrical feature point.

[0057] Third, the transient envelope of the electrical waveform is subjected to attenuation analysis. When it falls back to the baseline bandwidth before the action and remains within the preset duration, the moment is taken as the transient attenuation termination point.

[0058] In this embodiment, the stable zero-crossing point after transient decay is preferably used as the first electrical feature point, and the disappearance point of the high-frequency component of the arc is used as an auxiliary verification. In other embodiments, the transient decay termination point can also be used as the first electrical feature point according to the primary side sampling object and the arc response characteristics.

[0059] Through the above processing, the processor extracts the first mechanical feature point and the first electrical feature point from the mechanical waveform analysis window and the electrical waveform analysis window corresponding to the same action event, respectively. Since both types of feature points are based on the dual-window data corresponding to the same event time mark, and the mask verification has eliminated obviously distorted segments, the two feature moments obtained can more realistically reflect the timing relationship between the start of the mechanical action and the end of the electrical transient.

[0060] Step S4: Calculation of Action Time Difference After obtaining the first mechanical feature point and the first electrical feature point, the processor calculates the cross-modal motion time difference Δt between them.

[0061] In this embodiment, the time corresponding to the first mechanical feature point is denoted as tm, and the time corresponding to the first electrical feature point is denoted as te. The cross-modal motion time difference is defined as: Δt = te - tm Here, Δt represents the time interval from the start of the mechanical action to the end of the electrical transient process. When Δt is within the normal range, it indicates that the mechanical and electrical processes in this action event are properly matched; when Δt increases significantly, it indicates that the interval between the start of the mechanical action and the end of the electrical process has been lengthened, and there is a risk of slow action, delayed response, or slow transient recovery.

[0062] In this embodiment, the processor directly calculates the time difference between tm and te based on the sampling time under a unified time base, and uses the obtained Δt as the core criterion for subsequent anomaly determination. If the electrical waveform analysis window and the mechanical waveform analysis window use a unified sampling clock, Δt can be obtained directly by multiplying the difference in sampling sequence numbers corresponding to the two feature points by the sampling period; if the two types of data streams establish a unified time base through a time synchronization mechanism, Δt can be obtained by directly subtracting the absolute timestamps corresponding to the two types of feature points. In this embodiment, a unified sampling time base method is used to record the electrical monitoring data stream and the mechanical monitoring data stream, so the processor can quickly calculate the action time difference Δt based on the difference in sampling sequence numbers corresponding to the feature points.

[0063] After calculating the action time difference, the processor compares this Δt with a preset time difference degradation threshold to determine whether the current action event needs to enter the subsequent environmental gating and retest evaluation process. Thus, the action start information extracted from the mechanical side and the transient end information extracted from the electrical side are uniformly converted into a comparable and determinable time difference, providing a direct criterion for subsequent anomaly identification and status warning.

[0064] After obtaining the cross-modal action time difference Δt corresponding to the current action event in step S4, the processor uses Δt as the core criterion and combines it with the enclosure environmental condition data to enter the subsequent joint gating and retest evaluation process. The specific implementation process of steps S5 and S6 will be further explained below with reference to this embodiment.

[0065] Step S5: Environmental Gating and Retest Triggering In this embodiment, when the Δt calculated in step S4 does not exceed the time difference degradation threshold, the system maintains normal monitoring status; when Δt exceeds the time difference degradation threshold, the processor performs joint gating judgment in conjunction with the current enclosure environment condition data to distinguish whether the anomaly is more likely to originate from environmental disturbance or from changes in the mechanical body state.

[0066] In this embodiment, the environmental risk determination conditions include at least one of the following three categories. The first category is dew point proximity determination. The processor calculates the current dew point temperature Tdew based on the temperature data T and humidity data H uploaded by the environmental condition acquisition unit, and further calculates the dew point proximity Ddew, where Ddew = T - Tdew. When Ddew is less than the preset safe condensation margin Thdew, it is determined that there is a high risk of condensation inside the enclosure. In this embodiment, the dew point temperature Tdew can be obtained from the current temperature and humidity data through a preset dew point calculation model, or it can be determined by looking up a table. The second category is low temperature risk range determination. The processor compares the current ambient temperature T with a preset low temperature risk range. When T falls into the low temperature risk range, it is determined that the current ambient temperature may cause increased resistance to mechanical movement or slower mechanical response. In this embodiment, the low temperature risk range can be adjusted according to different ring network enclosure models, mechanical lubrication conditions, and historical operating data. The third category is environmental abrupt change determination. The processor calculates the rate of change of temperature and the rate of change of humidity within a preset time window. If the temperatures corresponding to the start and end times of the window are T1 and T2, and the humidity rates are H1 and H2, respectively, and the time interval is denoted as Ts, then the rate of change of temperature can be expressed as rT = abs(T2 - T1) / Ts, and the rate of change of humidity can be expressed as rH = abs(H2 - H1) / Ts. When rT exceeds a preset temperature change threshold or rH exceeds a preset humidity change threshold, it is determined that the current enclosure environment has a short-term risk of sudden change. If at least one of the above three conditions is met, the enclosure environment operating condition data is considered to meet the preset environmental risk judgment conditions.

[0067] If the processor determines that the current enclosure environmental conditions do not meet the preset environmental risk assessment conditions, it indicates that the Δt exceedance did not occur under obvious environmental interference conditions. The processor directly outputs a degradation alarm and writes the Δt corresponding to the current action event, the event timestamp, and the environmental conditions data into the alarm record area for subsequent traceability analysis. If the processor determines that the current enclosure environmental conditions meet the preset environmental risk assessment conditions, it triggers the system to enter the transient capture and retest mode to perform more sensitive re-collection and confirmation of subsequent action events.

[0068] After entering the transient capture and retest mode, the processor generates low-level sampling link configuration instructions to perform reverse adaptive adjustment on the mechanical monitoring channel. In this embodiment, the reverse adaptive adjustment can independently adopt any of the following methods, or a combination of two or more of them. The first method is to dynamically lower the hardware trigger threshold, that is, to adjust the trigger threshold of the mechanical monitoring channel from the initial threshold value Vth0 in the normal monitoring state to a lower threshold value Vth1, where Vth1 is less than Vth0, so as to capture the initial response corresponding to slight mechanical hysteresis earlier in the retest mode. The second method is to increase the analog-to-digital conversion sampling frequency, that is, to increase the sampling frequency of the mechanical monitoring channel from the normal sampling frequency f0 to the retest sampling frequency f1, where f1 is greater than f0, so as to retain richer transient details. The third method is to increase the storage depth used to latch the mechanical waveform analysis window, that is, after the sampling frequency is increased, the cache length is correspondingly expanded so that the mechanical waveform analysis window can still cover a sufficient steady-state reference range and transient evolution range. The fourth approach involves adjusting the gain amplification level or filter band. For example, increasing the front-end amplification factor or switching to filter parameters more suitable for highlighting the target frequency band response can improve the discernibility of weak mechanical features under environmental interference conditions. In this embodiment, it is preferable to simultaneously lower the hardware trigger threshold, increase the sampling frequency, and increase the storage depth, thereby enabling the system to have a higher transient acquisition capability in retest mode. For scenarios with high noise levels, further adjustments to the gain amplification level or filter band can be made.

[0069] Through the above-mentioned joint gating and reverse adaptive adjustment, the system can handle abnormal traffic according to the environmental background when the action occurs after Δt exceeds the limit: for cases where no obvious environmental risk is detected, a degradation alarm is directly given; for cases where environmental risk is detected, the system first enters the transient capture and retest mode to improve the accuracy and reliability of subsequent judgments.

[0070] Step S6: Retesting, Evaluation, and Result Output After entering the transient capture and retest mode, the processor repeats steps S1 to S4 for subsequent continuous action events, reacquires the electrical monitoring data stream, mechanical monitoring data stream, and enclosure environmental condition data for the corresponding action events, and updates and calculates the action time difference Δt′ corresponding to each action event. In other words, Δt′ is the action time difference sequence obtained for subsequent action events in the retest mode, and its calculation method is the same as that of Δt in step S4, except that the corresponding data comes from the continuous action events in the retest mode.

[0071] In this embodiment, the processor outputs a confirmed degradation alarm or generates an environmental degradation recovery record based on the consistency assessment result of the evolution of Δt′. Specifically, the processor first forms an action time difference sequence {Δt′1, Δt′2, ..., Δt′N} according to the order of action occurrence. If the action time difference Δt′ corresponding to N consecutive action events exceeds the time difference degradation threshold, and the fluctuation deviation of the action time difference Δt′ falls within a preset consistency judgment band, then the anomaly is considered to have continuity and stability, and a confirmed degradation alarm is output. In this embodiment, the fluctuation deviation of the action time difference Δt′ is characterized by the difference between the maximum and minimum values ​​in the action time difference sequence; if the fluctuation deviation value is less than or equal to the preset consistency judgment bandwidth threshold, then the action time difference Δt′ is determined to meet the consistency requirements. In this embodiment, N is preferably 3 times, but can also be adjusted to other positive integer values ​​according to the frequency of equipment actions and on-site operating conditions; the consistency judgment bandwidth threshold can be adjusted according to the fluctuation distribution of action time differences under normal operating conditions.

[0072] If the action time difference Δt′ obtained from subsequent updates does not continuously exceed the limit, but instead falls back to within the preset hysteresis dead zone bandwidth, and the state convergence duration continuously meets the preset minimum cooldown dwell time, then the processor determines that the current system meets the state return condition. To avoid false return due to a single, occasional fallback, in this embodiment, the hysteresis dead zone bandwidth is set near the normal action time difference reference value. If the normal action time difference reference value is denoted as Δtref, and the hysteresis dead zone half-width is denoted as Hband, then the hysteresis dead zone bandwidth can be expressed as... Δtref - Hband ≤ Δt′ ≤ Δtref + Hband When the continuously updated Δt′ consistently falls within this interval and meets the preset minimum cooling dwell time Tc, the current anomaly is considered to have converged to an acceptable range. At this point, the processor generates an environmental degradation recovery record associated with the current enclosure environmental condition data and cancels the aforementioned underlying sampling link configuration command, causing the mechanical monitoring channel to exit the high-sensitivity retest state and revert to the normal monitoring configuration.

[0073] In this embodiment, if the system still fails to meet the state recovery conditions while in transient capture and retest mode, and the environmental condition data of the enclosure continues to meet the preset environmental risk judgment conditions, the processor further outputs an environmental intervention linkage command to drive the environmental intervention device configured in the ring network enclosure to perform environmental adjustment operations within a preset intervention time window. The environmental adjustment operations include at least one of heating and dehumidification. In this embodiment, it is preferable to simultaneously activate the anti-condensation heating component and the dehumidification component to improve the local environmental recovery speed inside the enclosure; in other embodiments, heating or dehumidification may be performed only depending on the current environmental risk type. The preset intervention time window can be adjusted according to the enclosure volume, environmental recovery speed, and equipment tolerance conditions. In this embodiment, a fixed intervention time window is used for control.

[0074] In subsequent events following the completion of environmental adjustment operations, the processor again acquires data and updates the calculated verification action time difference Δt″ according to steps S1 to S4. If the verification action time difference Δt″ falls back to within the hysteresis dead zone bandwidth, it indicates that the aforementioned anomaly is mainly affected by environmental factors. The processor generates an environmental intervention fault elimination record and cancels the underlying sampling link configuration instruction, causing the system to exit the transient capture retest mode and restore the normal monitoring state. If the verification action time difference Δt″ still exceeds the time difference degradation threshold, it indicates that the anomaly persists even after the external environmental disturbance factors are weakened. Based on this, the processor outputs a confirmed alarm for irreversible mechanical degradation and records the corresponding Δt, Δt′, Δt″, environmental intervention execution information, and environmental operating condition data as a basis for subsequent maintenance and traceability analysis.

[0075] Through the above steps S5 and S6, the ring network box status early warning method in this embodiment no longer gives a final conclusion based solely on a single abnormal result. Instead, it combines the environmental status to perform gating and diversion after Δt exceeds the limit. Furthermore, when there is an environmental risk, it further confirms the source of the abnormality step by step through retesting, parameter adaptive adjustment, state return determination, and environmental intervention verification when necessary, thereby improving the reliability and traceability of the ring network box status early warning results.

[0076] In summary, in this embodiment, the secondary state early warning device continuously acquires electrical monitoring data streams, mechanical monitoring data streams, and environmental condition data of the ring network enclosure during its operation. When the electrical monitoring data stream meets a preset transient trigger condition, an event time marker is generated. Based on the event time marker, the corresponding electrical waveform analysis window and mechanical waveform analysis window are latched. Subsequently, the processor performs validity screening and feature extraction on the latched analysis window data, obtaining the first mechanical feature point representing the start of mechanical action and the first electrical feature point representing the end of electrical transient, and calculates the cross-modal action time difference Δt corresponding to the current action event. When Δt exceeds a preset time difference degradation threshold, the processor further combines the environmental condition data of the enclosure to perform environmental risk gating judgment. When no environmental risk is detected, a degradation alarm is directly output. When an environmental risk is detected, a transient capture and retest mode is triggered, and the resolution of subsequent retest data is improved by adjusting the underlying sampling parameters of the mechanical monitoring channel. In the retest mode, the processor updates subsequent continuous action events and calculates the action time difference Δt′. Based on the evolution consistency assessment results, a confirmed degradation alarm is output or an environmental degradation recovery record is generated. If the state recovery conditions are still not met after the retest and the environmental risk continues to exist, the processor further drives the environmental intervention device to perform environmental adjustment operations, and recalculates the verification action time difference Δt″ after the intervention to distinguish between recoverable anomalies after the elimination of environmental disturbances and continuous degradation anomalies of the mechanical body, thereby completing the closed-loop early warning, retest confirmation, and attribution judgment of the ring network box status.

[0077] Through the above workflow, this embodiment realizes the joint monitoring and collaborative judgment of the electrical process, mechanical process and environmental status during the operation of the ring network box. This enables the status early warning to not only cover the abnormal identification of single action events, but also to complete subsequent retesting, status restoration and environmental intervention verification when necessary under complex working conditions, thereby improving the stability of status judgment and the feasibility of practical application.

[0078] The embodiments described above are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still make modifications to the specific implementation methods, parameter settings, or component forms, or make equivalent substitutions for the corresponding technical features; all variations and substitutions that do not depart from the technical concept and essence of the present invention should fall within the protection scope of the present invention.

Claims

1. A method for early warning of the status of a ring network box, characterized in that, The application to integrated primary and secondary ring network enclosures includes the following steps: S1. Obtain the electrical monitoring data stream, mechanical monitoring data stream, and environmental condition data of the ring network box; S2. In response to the electrical monitoring data stream meeting the preset transient triggering conditions, an event time marker is generated, and the corresponding electrical waveform analysis window and mechanical waveform analysis window are latched based on the event time marker. S3. Extract the first mechanical feature point representing the start of mechanical action from the mechanical waveform analysis window, and extract the first electrical feature point representing the end of electrical transient from the electrical waveform analysis window; S4. Calculate the cross-modal motion time difference Δt between the first mechanical feature point and the first electrical feature point; S5. When the cross-modal action time difference Δt exceeds the preset time difference degradation threshold, a joint gating judgment is performed based on the enclosure environmental condition data, and one of the following processing paths is selected for execution: If the environmental operating conditions data of the enclosure meet the preset environmental risk judgment conditions, then the transient capture and retest mode will be triggered. If the environmental operating condition data of the enclosure does not meet the preset environmental risk judgment conditions, a deterioration alarm will be output. S6. In the transient capture and retest mode, the action time difference Δt′ is updated and calculated based on the subsequent continuous action events of the ring network box, and the confirmed degradation alarm or the environmental degradation recovery record is output based on the evolution consistency evaluation result of the action time difference Δt′.

2. The ring network box status early warning method according to claim 1, characterized in that, In step S2, the corresponding electrical waveform analysis window and mechanical waveform analysis window are latched based on the event time marker, including: Using the trigger time corresponding to the event time marker as the boundary, the steady-state historical data segment with a preset baseline duration is extracted in reverse from the preset buffer area, and the transient evolution data segment with a preset transient duration is extracted in forward direction, so as to combine and construct the electrical waveform analysis window and the mechanical waveform analysis window with an asymmetric time span. After the latch is completed, the re-trigger suppression logic is triggered to shield the newly added transient triggering conditions in the electrical monitoring data stream within a preset dead time window.

3. The ring main unit status early warning method according to any one of claims 1 or 2, characterized in that, Before step S3, the method further includes: Saturation mask verification is performed on the data in the mechanical waveform analysis window and the electrical waveform analysis window to remove invalid data segments that exceed the hardware range limit or match the preset impulse interference characteristics. The first mechanical feature point is obtained by extracting at least one feature from the following set: the first peak crossing point of the vibration envelope within the mechanical waveform analysis window, the energy integral step point of the high frequency band, and the energy threshold crossing point of the preset frequency band. The first electrical feature point is obtained by extracting at least one feature from the following set: the stable zero-crossing point after transient decay within the electrical waveform analysis window, the disappearance point of the high-frequency component of the arc in the preset frequency band, and the termination point of transient decay.

4. The ring network box status early warning method according to claim 1, characterized in that, In step S5, the preset environmental risk assessment conditions include at least one of the following conditions: The dew point proximity calculated based on the environmental operating conditions data of the enclosure is less than the preset safety condensation margin. The ambient temperature represented by the environmental operating condition data of the enclosure falls within the preset low-temperature risk range; Within a preset time window, the rate of change of ambient temperature or the rate of change of ambient humidity, as represented by the environmental conditions data of the enclosure, exceeds a preset abrupt change threshold.

5. The ring network box status early warning method according to claim 1, characterized in that, After triggering the entry into the transient capture retest mode, the method further includes: Generate underlying sampling link configuration instructions to perform reverse adaptive adjustment on the mechanical monitoring channel corresponding to the mechanical monitoring data stream. The reverse adaptive adjustment includes at least one of the following operations: Dynamically lower the hardware trigger threshold of the mechanical monitoring channel; Increase the analog-to-digital conversion sampling frequency of the mechanical monitoring channel; Increase the storage depth used to latch the mechanical waveform analysis window; Adjust the gain amplification level or filter frequency band of the mechanical monitoring channel.

6. The ring main unit status early warning method according to claim 5, characterized in that, Based on the evolution consistency assessment results of the action time difference Δt′, the system outputs a confirmed degradation alarm or generates an environment degradation recovery record, including: If, in the transient capture retest mode, the action time difference Δt′ corresponding to the action events for a consecutive preset number of times exceeds the time difference degradation threshold, and the fluctuation deviation of the action time difference Δt′ falls into the preset consistency judgment band, then the confirmed degradation alarm is output. If the updated action time difference Δt′ falls back to within the preset hysteresis dead zone bandwidth, and the state convergence duration continues to meet the preset minimum cooldown dwell time, then the state regression condition is determined to be met. In response to the state recovery condition being met, an environmental degradation recovery record associated with the enclosure environmental condition data is generated, and the underlying sampling link configuration instruction is revoked to exit the transient capture retest mode.

7. The ring network box status early warning method according to claim 6, characterized in that, If the state return condition is not met in the transient capture and retest mode, and the environmental condition data of the enclosure meets the preset environmental risk judgment condition, the method further includes: Output environmental intervention linkage command to drive the environmental intervention device configured in the ring network box to perform at least one of the environmental adjustment operations, including heating and dehumidification, within a preset intervention time window; In subsequent action events that occur after the completion of the environmental adjustment operation, update and calculate the verification action time difference Δt″; If the time difference Δt″ of the verification action falls back into the hysteresis dead zone bandwidth, an environmental intervention and defect elimination record is generated, and the underlying sampling link configuration command is revoked to exit the transient capture retest mode; If the time difference Δt″ of the verification action exceeds the time difference degradation threshold, an alarm confirming irreversible mechanical degradation will be output.

8. A ring network box status early warning system, characterized in that, The system, applied to a primary and secondary integrated ring network enclosure, includes: An electrical monitoring channel is used to acquire the electrical monitoring data stream of the ring network box; A mechanical monitoring channel is used to acquire the mechanical monitoring data stream of the ring network box; An environmental condition acquisition unit is used to acquire environmental condition data of the ring network box. The waveform latching module is used to generate an event time marker in response to the electrical monitoring data stream meeting a preset transient trigger condition, and to latch the corresponding electrical waveform analysis window and mechanical waveform analysis window based on the event time marker respectively; The feature extraction module is used to extract a first mechanical feature point representing the start of mechanical action from the mechanical waveform analysis window, and to extract a first electrical feature point representing the end of electrical transient from the electrical waveform analysis window. The time difference calculation module is used to calculate the cross-modal motion time difference Δt between the first mechanical feature point and the first electrical feature point; The joint gating module is used to perform joint gating judgment based on the enclosure environmental condition data when the cross-modal action time difference Δt exceeds a preset time difference degradation threshold, and select one of the following processing paths to execute: If the environmental operating conditions data of the enclosure meet the preset environmental risk judgment conditions, then the transient capture and retest mode will be triggered. If the environmental operating condition data of the enclosure does not meet the preset environmental risk judgment conditions, a deterioration alarm will be output. The retest evaluation module is used to update and calculate the action time difference Δt′ based on the subsequent continuous action events of the ring network box in the transient capture retest mode, and output a confirmed degradation alarm or generate an environmental degradation recovery record based on the evolution consistency evaluation result of the action time difference Δt′.

9. A primary and secondary integrated ring network box, characterized in that, include: The enclosure, the primary electrical circuit and operating mechanism installed inside the enclosure, and the secondary status early warning device; The secondary status early warning device includes a memory and a processor; The memory is used to store computer-executable instructions; The processor is used to execute the computer-executable instructions to implement the ring network box status early warning method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, implement the ring network box status early warning method as described in any one of claims 1 to 7.

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