Insulator condition monitoring system and method

Abstract

This invention provides an insulator condition monitoring system and method, relating to the field of insulator condition monitoring technology. The insulator condition monitoring system includes at least one set of condition monitoring devices installed at local locations on an insulator string, and a condition processing unit communicatively connected to the condition monitoring devices. The condition monitoring devices acquire condition parameters at local locations on the insulator string. The condition processing unit, without acquiring the condition parameters of all insulators in the string, assesses the overall condition of the insulator string based on the characteristics of changes in the condition parameters at local locations and provides risk warnings. By collecting, analyzing, and correlating the online condition parameters of local insulators, online monitoring and anomaly warnings of the overall health status of the insulator string can be achieved, thereby improving the real-time performance, accuracy, and safety of insulator condition sensing, and facilitating insulator condition-based maintenance and risk prevention.

Description

Technical Field

[0001] This invention relates to the field of insulator condition monitoring technology, and more specifically, to an insulator condition monitoring system and method. Background Technology

[0002] With the continuous expansion of high-voltage, ultra-high-voltage, and extra-high-voltage transmission lines, insulators, as key insulating components in transmission lines, directly affect the safety and reliability of power supply. During long-term operation, insulators may be affected by various factors such as contamination, moisture, aging, changes in electric field distribution, changes in mechanical stress, and environmental disturbances, leading to a decline in insulation performance, localized abnormal development, and in severe cases, flashover, tripping, or even line faults.

[0003] Among existing insulator condition monitoring methods, the most common approaches still rely on manual inspections, periodic power outages for testing, or on-site spot checks using portable equipment. These methods typically suffer from problems such as long testing cycles, insufficient real-time performance, high labor costs, high risks, and limited coverage. They are also unable to continuously reflect the dynamic changes in the insulator's operating status, nor can they provide timely and effective risk identification and early warning for the overall condition of the insulator string.

[0004] On the other hand, existing technologies usually focus on detecting and judging the state of a single insulator, a single parameter, or a single moment. It is difficult to effectively infer the overall state of an insulator string based solely on the state changes of local positions under long-term online monitoring conditions. Therefore, there is a lack of technical solutions that use local state changes to reflect changes in the overall state distribution and support long-term trend analysis and risk warning.

[0005] In reality, abnormal conditions at local locations within an insulator string often cause deviations in the overall state distribution of the string. For example, a decline in local insulation performance may lead to abnormal voltage distribution, electric field shifts, changes in leakage current, or increased sensitivity of the local state to environmental factors. Continuous shifts in local state parameters may also reflect insulator degradation trends, distribution imbalances, or overall string deterioration. Therefore, how to assess and provide risk warnings for the overall state of an insulator string based solely on local state parameters and their changing characteristics, without obtaining the state parameters of all insulators in the entire string, has become a pressing technical problem in the field of online insulator monitoring. Summary of the Invention

[0006] In view of this, the purpose of this invention is to provide an insulator condition monitoring system and method, so as to at least partially solve the problems in the prior art of insulator condition monitoring relying on manual inspection, insufficient real-time performance, difficulty in reflecting the overall condition changes of insulator strings, and difficulty in providing effective risk warnings.

[0007] To achieve the above objectives, the technical solutions adopted in the embodiments of the present invention are as follows: In a first aspect, embodiments of the present invention provide an insulator condition monitoring system, including at least one set of condition monitoring devices disposed at local locations of an insulator string, and a condition processing unit communicatively connected to the condition monitoring devices; The status monitoring device is used to acquire status parameters of the local position of the insulator string; The state processing unit is used to assess the overall state of the insulator string and provide risk warnings based on the change characteristics of the local position state parameters when all insulator state parameters of the insulator string are not available.

[0008] Secondly, embodiments of the present invention provide an insulator condition monitoring method, applied to the insulator condition monitoring system described in any of the above claims, the method comprising: Obtain the state parameters of the local position of the insulator string; The overall state of the insulator string is evaluated based on the variation characteristics of the state parameters. Anomalies are identified and risks are warned based on the assessment results.

[0009] The insulator condition monitoring system and method provided in this invention, by setting condition monitoring devices at local locations on the insulator string and assessing and providing risk warnings based on the characteristics of local condition parameter changes, enables online inference and anomaly identification of the overall condition of the insulator string without obtaining the condition parameters of all insulators in the entire string. Compared to methods relying on manual inspection, full-scale testing, or single-point judgment, this invention reduces the number of monitoring points, reduces deployment complexity, and supports long-term online monitoring, trend analysis, and risk warnings.

[0010] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a schematic diagram of the structural block of an insulator condition monitoring system provided in an embodiment of the present invention; Figure 2This is a schematic diagram of the structure of an insulator condition monitoring device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the installation of an insulator condition monitoring device provided in an embodiment of the present invention; Figure 4 This is another structural block diagram of an insulator condition monitoring system provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of local voltage state acquisition for insulator voltage measurement provided in an embodiment of the present invention; Figure 6 A schematic diagram of a process for calculating the degree of deterioration of an insulator and assessing its condition, provided as an embodiment of the present invention; Figure 7 This is a schematic diagram of a state evaluation sub-process corresponding to step S240 provided in an embodiment of the present invention; Figure 8 This is a flowchart illustrating an insulator condition monitoring method provided in an embodiment of the present invention.

[0013] Icons: 200-Insulator condition monitoring system; 210-Condition monitoring device; 220-Condition processing unit; 211-Condition acquisition module; 212-Signal conditioning module; 213-Communication module. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0015] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0016] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0017] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0018] As described in the background section, since insulators are installed on high-voltage towers, current methods rely on manual inspections, periodic power outage testing, or on-site spot checks using portable equipment. These methods typically suffer from problems such as long inspection cycles, insufficient real-time performance, high labor costs, high risks, and limited coverage. They are also unable to continuously reflect the dynamic changes in the insulator's operating status, nor can they provide timely and effective risk identification and early warning for the overall condition of the insulator string.

[0019] Based on the above, embodiments of the present invention provide an insulator condition monitoring system and method. The insulator monitoring system includes at least one set of condition monitoring devices disposed at local locations of an insulator string, and a condition processing unit communicatively connected to the condition monitoring devices. Each insulator condition monitoring device is communicatively connected to the condition processing unit. The insulator condition monitoring device is used to acquire condition parameters at local locations of the insulator string and upload the condition parameters to the condition processing unit. The condition processing unit is used to evaluate the overall condition of the insulator string based on the change characteristics of the condition parameters and to provide risk warnings.

[0020] The core of this invention is not to obtain complete state information of all insulators in an insulator string, but to infer the overall state of the insulator string and its abnormal risks by utilizing the changes, offsets or distribution characteristics of local position state parameters of the insulator string.

[0021] The insulator condition monitoring system provided by this invention will be described below by way of example. Specifically, Figure 1 This is a schematic diagram of the structural block of an insulator condition monitoring system provided in an embodiment of the present invention. (See attached diagram.) Figure 1 The insulator condition monitoring system 200 includes at least one condition monitoring device 210 and a condition processing unit 220 that is communicatively connected to the condition monitoring device 210.

[0022] The condition monitoring device 210 is used to acquire state parameters of the local position of the insulator string. State parameters can be information reflecting the local state of the insulator, including but not limited to one or more of voltage, electric field, leakage current, temperature, and humidity. In different embodiments, the condition monitoring device 210 may acquire only a single type of state parameter, or it may acquire multiple state parameters and form corresponding state information.

[0023] The status processing unit 220 is used to receive status parameters or status information acquired by the status monitoring device 210, and to evaluate the overall status of the insulator string and issue risk warnings based on the change characteristics of the status parameters.

[0024] In one implementation, the state processing unit 220 can be a server.

[0025] In another embodiment, the state processing unit 220 may also be an edge processing device, a station-side computing unit, an industrial control device, a cloud platform, a virtual machine, or any combination thereof.

[0026] Therefore, the state processing unit 220 in this embodiment of the invention is not limited to a single physical deployment form. As long as it can realize one or more functions such as state parameter processing, state assessment, anomaly identification, trend analysis or risk warning, it can be used as the state processing unit of the present invention.

[0027] By setting one or more condition monitoring devices 210 on an insulator string, online condition monitoring can be performed on different local locations of the insulator string; by deploying multiple condition monitoring devices 210 on multiple insulator strings and combining them with the condition processing unit 220 for centralized or distributed analysis, centralized assessment and regional risk analysis of the insulator condition over multiple insulator strings, multiple sections, or even a larger area can be achieved.

[0028] See Figure 2 and Figure 3 In one embodiment, the condition monitoring device 210 may include a mounting structure and a monitoring module. The mounting structure is used to install the condition monitoring device 210 at a local location on the insulator string, and the monitoring module is used to acquire the condition parameters at the corresponding location.

[0029] It should be understood that the present invention does not limit the specific mechanical installation structure of the condition monitoring device 210. The condition monitoring device 210 can be installed at a local location on the insulator string using a bracket, clip, clamp, fastener, holder, or other suitable structure. Any method that enables stable acquisition of local condition parameters of the insulator is applicable to the present invention.

[0030] In some embodiments, the condition monitoring device 210 may be at least one of an online monitoring device, a long-term deployed monitoring device, and a non-intrusive monitoring device. Preferably, the condition monitoring device 210 can be deployed without changing the original structure of the insulator, without power outage installation, and without direct connection to the high-voltage conductor, thereby improving the safety, convenience, and long-term operational adaptability of on-site installation.

[0031] One or more condition monitoring devices 210 can be installed on an insulator string. The multiple condition monitoring devices 210 can correspond to different local positions of the insulator string to obtain the condition parameters at different positions, thereby improving the accuracy and robustness of the overall condition assessment of the insulator string.

[0032] See Figure 4 In one embodiment, the status monitoring device 210 may include a status acquisition module 211, a signal conditioning module 212, and a communication module 213.

[0033] The status acquisition module 211 is used to acquire the status parameters of the local position of the insulator string.

[0034] The signal conditioning module 212 is used to condition, filter, denoise, adapt amplitude, extract effective features, or perform other preprocessing on the acquired state parameters.

[0035] The communication module 213 is used to realize the data transmission between the state parameters, state information or preprocessing results and the state processing unit 220.

[0036] In some implementations, the status monitoring device 210 can perform some preprocessing locally before uploading the status information to reduce transmission pressure and improve overall processing efficiency.

[0037] In other embodiments, the status monitoring device 210 may also have one or more of the following capabilities: local status analysis, anomaly identification, or early warning, to support edge analysis scenarios.

[0038] It should be understood that the present invention does not limit the specific communication protocol, networking method, or information packaging format of the communication module 213. The communication module 213 can use wired or wireless methods to realize data transmission, as long as it can meet the requirements of status data uploading, interaction, or synchronization.

[0039] The state parameters in the embodiments of the present invention are not limited to a single parameter type.

[0040] In some implementations, the state parameters may include one or more of voltage, electric field, leakage current, temperature, and humidity.

[0041] In other embodiments, the state parameters may also include other parameters or combinations of parameters that can reflect changes in the local state of the insulator.

[0042] When using a multi-state parameter approach, the state processing unit 220 can perform correlation analysis on multiple state parameters to improve the accuracy of the overall state assessment of the insulator string. For example, it can combine changes in voltage distribution, changes in ambient temperature and humidity, and changes in leakage current to conduct a comprehensive analysis of the insulator state; it can also combine state data from the same location at different times to analyze the trend of state changes; and it can also combine state data from multiple monitoring devices at corresponding locations to analyze the relative distribution relationship and abnormal offset within the insulator string.

[0043] In this embodiment of the invention, the state processing unit 220 can evaluate the overall state of the insulator string based on the change characteristics of local state parameters. The change characteristics may include, but are not limited to: Offset characteristics relative to the standard state; The changing trend characteristics relative to historical states; The relative distribution characteristics compared to other positions in the same string; The correlation and change characteristics among multiple state parameters; Spatial correlation characteristics among multiple monitoring devices.

[0044] In one embodiment, the state processing unit 220 can identify potential abnormal insulators in the insulator string based on the abnormal offset of the local position state parameters.

[0045] In another embodiment, the state processing unit 220 can identify whether the insulator state has a continuous deterioration trend, a sudden change trend, or an abnormal fluctuation risk based on the evolution trend of the state parameters in the time dimension.

[0046] In another embodiment, the state processing unit 220 can combine data from multiple state monitoring devices to perform correlation analysis on the same insulator string or multiple insulator strings, so as to output regional state assessment results and risk analysis results.

[0047] In some implementations, the state processing unit 220 can establish an insulator string state distribution model based on local location state parameters to characterize the spatial distribution relationship, temporal evolution relationship, or multi-parameter correlation relationship of the overall state of the insulator string. The state processing unit 220 can evaluate the overall state of the insulator string based on local offsets, overall distribution imbalances, abnormal correlation relationships, or trend changes that occur in the state distribution model.

[0048] In other embodiments, the state processing unit 220 can establish a state correlation map between local states to reflect the correlation between different local locations, different time dimensions, or different state parameters, and identify potential abnormal insulators or risk states of the entire string based on abnormal changes in the state correlation map.

[0049] Therefore, the overall state evaluation logic of this invention is not limited to a single threshold comparison, but may include trend analysis, correlation analysis, model analysis and anomaly identification based on state change characteristics.

[0050] In some implementations, the state processing unit 220 can operate as a state analysis platform. The state analysis platform can receive data from one or more state monitoring devices and perform data cleaning, fusion, feature extraction, correlation analysis, and state assessment. The state analysis platform can be a locally deployed platform, a cloud-deployed platform, or a layered processing platform where edge nodes and a cloud platform work together.

[0051] In some implementations, the state analysis platform can establish a state assessment model based on historical state data. The state assessment model can be established based on one or more of time series features, spatial distribution features, multi-state parameter correlation features, or historical trend features, and can be implemented using statistical analysis methods, machine learning methods, neural network methods, or time series analysis methods. It should be understood that this invention does not limit the specific algorithm structure, training method, or parameter settings of the state assessment model, as long as it can establish state correlations based on state data and be used for state assessment and risk analysis.

[0052] In some implementations, the state analysis platform can also perform comprehensive correlation analysis based on state data from different local locations of the same insulator string, state data from different times at the same location, and state data between different insulator strings, so as to output state assessment results at the insulator string level, section level, or region level.

[0053] See Figure 6 , Figure 6 This is a schematic diagram of an insulator condition assessment process provided in an embodiment of the present invention.

[0054] In one embodiment, the state processing unit 220 can evaluate the overall state of the insulator string based on the local position state parameters acquired by the state monitoring device 210. The process may include the following steps: S210: Obtain the state parameters of the local position of the insulator string.

[0055] S220: Preprocess or correct the state parameters.

[0056] S230: Extract the change characteristics of state parameters.

[0057] S240: Evaluate the overall state of the insulator string based on its changing characteristics.

[0058] S250: Identify potential abnormal insulators or abnormal state trends.

[0059] S260: Output risk warning results.

[0060] In some implementations, the state parameters may include one or more of voltage, electric field, leakage current, temperature, and humidity; preprocessing or correction may include filtering, feature extraction, environmental correction, or validity assessment; and change features may include one or more of offset features, trend features, spatial correlation features, and multi-state parameter correlation features.

[0061] See Figure 7 , Figure 7 This is a schematic diagram of a state assessment sub-process provided in an embodiment of the present invention. In one embodiment, Figure 6 Step S240, namely "evaluating the overall state of the insulator string based on the changing characteristics", may include the following: The offset characteristics of local position state parameters are analyzed; Analyze the changing trend characteristics corresponding to historical state data; Analyze the correlation and change characteristics among multiple state parameters; The spatial correlation characteristics among multiple condition monitoring devices were analyzed; Based on the above analysis results, determine whether there is an abnormal state; If an abnormal state is determined to exist, identify potential abnormal insulators and abnormal state trends, and output risk warning results.

[0062] In some implementations, offset features may include offsets relative to a standard state, a historical baseline state, or other positional states in the same string; trend features may include continuous trends, abrupt changes, or abnormal fluctuations; correlation features may include the coupling relationship between multiple state parameters; spatial correlation features may include relative distribution anomalies or distribution offsets between multiple local positional state data.

[0063] In other implementations, state assessment can also be achieved through threshold comparison, rule judgment, model analysis, or a combination thereof, wherein the fixed threshold parameter can be configured as an example parameter according to different application scenarios.

[0064] In some embodiments, the state acquisition module 211 may include a voltage sensing module to acquire local voltage state parameters of the insulator. It should be understood that voltage sensing is only one implementation method for acquiring state parameters and does not constitute a limitation of the present invention.

[0065] In different implementations, the voltage sensing module can use one or more of the following methods for status acquisition: capacitive coupling, capacitive voltage division, RC voltage division, or electric field coupling. Among these, capacitive voltage division is a preferred implementation method used to convert local high voltage on the insulator into a measurable low voltage signal.

[0066] See Figure 5 In one embodiment, the voltage sensing module uses a capacitive voltage divider method to obtain the local voltage of the insulator. The capacitive voltage divider voltage sensing module includes a first capacitor disposed on the high-voltage side and a second capacitor disposed on the low-voltage side, wherein the first capacitor is smaller than the second capacitor, so as to realize the voltage division measurement of the local high-voltage signal.

[0067] Each insulator in a high-voltage insulator string carries at least tens of thousands of volts. In a traditional 3.3V power supply hardware system, the peak value of the input signal cannot exceed 3.3V. Its signal strength far exceeds the withstand capability of general equipment. Therefore, this device adopts a capacitive voltage divider design in the voltage signal sensing part to reduce the input signal. A smaller capacitor is used on the high-voltage side and a larger capacitor is used on the low-voltage side to complete the voltage division.

[0068] The formula for calculating the voltage on the low-voltage side is:

[0069] in, This is the low-voltage side voltage. This is the high-voltage side voltage. The total capacitance of the first capacitor and the second capacitor. The resistance of the insulator, For frequency.

[0070] In this embodiment, the high-voltage signal carried at a local location on the insulator can be converted into a low-voltage signal suitable for subsequent measurement and processing via a capacitive voltage divider structure. This facilitates the acquisition of local voltage status without directly experiencing high-voltage input. This embodiment can improve the feasibility of status acquisition under high-voltage environments and helps to reduce the size of the acquisition device and enhance adaptability to field deployment.

[0071] In some implementations, the low-voltage side signal can be further input into a signal conditioning module for filtering, amplitude adaptation, or feature extraction. It should be understood that this invention does not limit the specific analog front-end topology, circuit device parameters, or compensation details, as long as it enables stable acquisition and processing of local state signals under complex electromagnetic environments.

[0072] In other implementations, the state information obtained from voltage-type state acquisition can be used alone for state assessment, or it can be used in combination with other state parameters such as temperature, humidity, leakage current, and electric field to perform multi-state parameter fusion analysis.

[0073] In some implementations, to improve the accuracy of insulator condition assessment, the condition processing unit 220 may correct the acquired condition parameters based on environmental condition parameters. Environmental condition parameters may include one or more of temperature, humidity, or environmental electromagnetic conditions.

[0074] For example, when voltage is used as a local state parameter, changes in ambient temperature and humidity may affect the voltage distribution, contamination conductivity, or surface leakage characteristics. In this case, the voltage state information can be compensated and corrected based on environmental state parameters such as temperature and humidity to reduce the deviations introduced by environmental factors.

[0075] It should be understood that environmental correction methods can employ one or more of the following: lookup table correction, coefficient correction, statistical correction, model correction, or other applicable methods. This invention does not limit the specific correction formula, correction parameters, or compensation model details, as long as the environmental state parameters can be used to improve the accuracy of the state assessment.

[0076] In some implementations, the environmentally modified state parameters can be further used for trend analysis, anomaly identification, or overall state assessment.

[0077] In other implementations, environmental state parameters themselves can also be used as part of the state assessment input, participating in the overall state analysis together with other state parameters.

[0078] In some implementations, the state processing unit can analyze the trend of insulator state changes based on historical state data. Compared with judgment methods based on single sample values, trend analysis can more effectively identify gradual changes, abrupt changes, or periodic abnormal changes in the insulator state.

[0079] For example, the state processing unit can extract the rate of change, fluctuation amplitude, long-term offset trend, short-term fluctuation anomaly, or stability characteristics of state data collected at different time points for the same local location. If the state parameters of a certain local location continuously deviate from the historical baseline, or show continuous abnormal changes relative to other locations in the same string, it can be determined that the insulator at that location has a potential risk of deterioration or an abnormal development trend.

[0080] In some implementations, trend analysis can be combined with historical normal state samples, historical abnormal state samples, or historical operating data of similar lines to construct a state assessment model and output corresponding risk levels, abnormal trend levels, or early warning results.

[0081] It should be understood that this invention does not limit the specific algorithm used for trend analysis, as long as it can achieve state evolution analysis and risk identification based on historical state data.

[0082] In some implementations, the condition analysis platform can support correlation analysis of condition data between multiple condition monitoring devices to achieve regional insulator condition assessment and risk analysis.

[0083] For example, the state data of different local locations of the same insulator string can be compared and analyzed laterally to identify distribution anomalies within the insulator string; It is also possible to perform longitudinal comparative analysis on the status data of different insulator strings to identify common anomalies, environmentally driven anomalies, or regional risk trends within the same section; Furthermore, by combining the state change information of multiple state monitoring devices in the time dimension, a spatial-temporal correlation relationship of the insulator state can be constructed to support state perception and risk analysis on a larger scale.

[0084] In some implementations, multiple condition monitoring devices can be distributed across the same line section, the vicinity of the same substation, the area with the same pollution level, or the same climate environment to improve the representativeness and accuracy of regional analysis.

[0085] In other implementations, multiple status monitoring devices can also work in conjunction with edge nodes, station-side processing units, and cloud-based status analysis platforms to form a hierarchical or distributed status analysis architecture.

[0086] See Figure 8 This invention also provides an insulator condition monitoring method, applied to the aforementioned insulator condition monitoring system. The method can be executed by a condition monitoring device, a condition processing unit, or both in conjunction, and includes: S310: Obtain the state parameters of the local position of the insulator string; S320: Send the state parameters or state information formed based on the state parameters to the state processing unit; S330: Evaluate the overall state of the insulator string based on the changing characteristics of the state parameters; S340: Identify anomalies and issue risk warnings based on the assessment results.

[0087] In some implementations, step S330 may include: Evaluation is performed based on offset characteristics of a single state parameter; Evaluation is based on the correlation between multiple state parameters; Trend analysis based on historical status data; Overall condition assessment is performed based on the state correlation between multiple condition monitoring devices.

[0088] In some implementations, step S340 may include: Identify potentially anomalous insulators; Identify the deterioration trend of insulator condition; Identify regional anomaly risks; Output the corresponding warning information or status assessment results.

[0089] It should be understood that the above steps are merely examples, and the present invention does not limit the steps to be performed strictly in the above order. In other embodiments, the steps may be combined, split, rearranged, or performed in parallel.

[0090] In summary, the insulator condition monitoring system and method provided in this invention acquires online state parameters of local locations of the insulator string and assesses and provides risk warnings for the overall state of the insulator string based on the changing characteristics of these state parameters, thereby achieving an online monitoring mode that moves from local state perception to overall state judgment. This technical solution is applicable not only to implementations based on local voltage state information but also to single-parameter or multi-parameter fusion implementations based on multiple state parameters such as electric field, leakage current, temperature, and humidity.

[0091] Meanwhile, the embodiments of the present invention can also support online, long-term deployment and non-intrusive installation applications, support local state analysis, historical trend analysis, multi-device correlation analysis and regional risk analysis, and have good engineering adaptability, platform scalability and subsequent derivative patent layout value.

[0092] In the embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0093] In addition, the functional modules in the various embodiments of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0094] If the functionality is implemented as a software module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0095] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0096] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. An insulator condition monitoring system, characterized by, It includes at least one set of condition monitoring devices disposed at local locations of the insulator string, and a condition processing unit communicatively connected to the condition monitoring devices; The status monitoring device is used to acquire status parameters of the local position of the insulator string; The state processing unit is used to assess the overall state of the insulator string and provide risk warnings based on the state parameter change characteristics of the local location, without obtaining all the insulator state parameters of the insulator string.

2. The insulator condition monitoring system according to claim 1, characterized in that, The state parameters include one or more of voltage, electric field, leakage current, temperature, and humidity.

3. The insulator condition monitoring system according to claim 1, characterized in that, The condition monitoring device is at least one of an online monitoring device, a long-term deployment monitoring device, and a non-invasive monitoring device, and is used to perform condition monitoring without changing the original structure of the insulator.

4. The insulator condition monitoring system according to claim 1, characterized in that, The insulator condition monitoring system is used to identify, assess the condition of, and provide risk warnings for potential abnormal insulators in the insulator string based on the changing characteristics of the condition parameters.

5. The insulator condition monitoring system according to claim 1, characterized in that, The state processing unit is used to evaluate the overall state of the insulator string based on the changes, offsets, or distribution characteristics of local position state parameters when the state information of all insulators in the insulator string is not obtained.

6. The insulator condition monitoring system according to claim 1, characterized in that, The status monitoring device has one or more of the following capabilities: local status analysis, anomaly identification, or early warning.

7. The insulator condition monitoring system according to claim 1, characterized in that, The state processing unit includes a state analysis platform, which is used to perform correlation analysis and state assessment on multiple insulator state data.

8. The insulator condition monitoring system according to claim 1, characterized in that, The state processing unit is used to establish a state distribution model of the insulator string and to evaluate the overall state of the insulator string based on the state distribution offset characteristics.

9. The insulator condition monitoring system according to claim 1, characterized in that, The state processing unit is used to establish a state assessment model based on historical state data in order to analyze the trend of insulator state changes and abnormal risks.

10. The insulator condition monitoring system according to claim 9, characterized in that, The state assessment model is established based on one or more of time series analysis, spatial distribution analysis, multi-parameter correlation analysis, or historical trend analysis, and can be implemented using statistical analysis methods, machine learning methods, neural network methods, or time series analysis methods.

11. The insulator condition monitoring system according to claim 1, characterized in that, The status monitoring device includes a status acquisition module, a signal conditioning module, and a communication module.

12. The insulator condition monitoring system according to claim 11, characterized in that, The status acquisition module includes one or more status sensing modules, which include one or more of the following: voltage sensing module, temperature sensing module, humidity sensing module, electric field sensing module, or leakage current sensing module.

13. The insulator condition monitoring system according to claim 12, characterized in that, The state sensing module includes a voltage sensing module.

14. The insulator condition monitoring system according to claim 13, characterized in that, The voltage sensing module uses one or more of the following methods for status acquisition: capacitive coupling, capacitive voltage division, RC voltage division, or electric field coupling.

15. The insulator condition monitoring system according to claim 14, characterized in that, The voltage sensing module uses a capacitive voltage divider method to obtain the local voltage of the insulator.

16. The insulator condition monitoring system according to claim 15, characterized in that, The capacitive voltage divider sensing module includes a first capacitor on the high-voltage side and a second capacitor on the low-voltage side, wherein the first capacitor is smaller than the second capacitor, so as to convert the local high voltage of the insulator into a measurable low-voltage signal.

17. The insulator condition monitoring system according to claim 1, characterized in that, The state processing unit is used to correct the state parameters based on the environmental state parameters in order to improve the accuracy of state assessment.

18. The insulator condition monitoring system according to claim 17, characterized in that, The environmental state parameters include one or more of temperature, humidity, or environmental electromagnetic state.

19. The insulator condition monitoring system according to claim 7, characterized in that, The condition analysis platform supports correlation analysis of condition data from multiple condition monitoring devices to achieve regional insulator condition assessment and risk analysis.

20. A method for monitoring the condition of an insulator, characterized in that, The method, applied to the insulator condition monitoring system as described in any one of claims 1 to 19, comprises: Obtain the state parameters of the local position of the insulator string; The overall state of the insulator string is evaluated based on the variation characteristics of the state parameters. Anomalies are identified and risks are warned based on the assessment results.

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