A switch cabinet contact temperature monitoring method and device based on wireless synchronization time service

Abstract

The application provides a switch cabinet contact temperature monitoring method and device based on wireless synchronization timing, and belongs to the technical field of electrical equipment detection. The method collects temperature synchronously based on wireless temperature sensors installed on each phase contact in the switch cabinet; compensates the measured temperature collected by the wireless temperature sensor based on a constructed thermodynamic compensation matrix to obtain a real temperature; analyzes the inter-phase temperature difference, the same-phase temperature rise and the interval contrast based on the obtained real temperature, determines a comprehensive risk index based on a constructed multi-dimensional risk fusion model, and performs early warning according to the comprehensive risk index. Thus, the three-phase contact temperature data is collected at the same time, the temperature measurement deviation caused by inter-phase heat dissipation is corrected, the horizontal phase contrast distortion is eliminated, and the temperature measurement accuracy is improved; and through multi-dimensional analysis, the early identification ability for gradual defects is improved, graded early warning is realized, and the safe and stable operation of the power grid equipment is ensured.

Description

Technical Field

[0001] This application belongs to the field of electrical equipment testing technology, and specifically relates to a method and device for monitoring the temperature of switchgear contacts based on wireless synchronous time synchronization. Background Technology

[0002] Switchgear contact temperature rise monitoring is an important technology in the power equipment field, and a necessary means to effectively assess potential temperature rise issues in switchgear during long-term operation. Switchgear is an indispensable piece of equipment in power systems, primarily used for power control and distribution. However, during prolonged operation, the flow of current generates heat inside the equipment, causing the temperature to rise. If the temperature rises too quickly or too high, it can adversely affect the safe operation of the equipment, and may even lead to equipment damage or accidents. By monitoring the contact temperature, contact overload and other faults can be effectively prevented, ensuring the safe and stable operation of power equipment. Therefore, accurate assessment and analysis of switchgear contact temperature is crucial.

[0003] However, traditional switchgear contact temperature rise monitoring lacks a strict time synchronization mechanism, making it impossible to obtain temperature data of the three-phase contacts at the same time, resulting in lateral phase comparison distortion. At the same time, it is not sensitive to early small temperature rise changes of progressive defects such as contact oxidation, leading to a high false alarm rate and delayed early warning, which makes it difficult to meet the needs of safe operation and maintenance of power equipment. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a method and device for monitoring the temperature of switchgear contacts based on wireless synchronous time synchronization, which can improve the accuracy of contact defect identification and ensure the safe and stable operation of power grid equipment by constructing a multi-dimensional temperature data analysis system with spatiotemporal correlation.

[0005] This application provides a method for monitoring the temperature of switchgear contacts based on wireless synchronous time synchronization. The method includes the following steps:

[0006] Synchronous temperature acquisition is performed based on wireless temperature sensors installed on each phase contact in the switch cabinet; wherein, the switch cabinet includes multiple bays, each bay includes three phase contacts, and the wireless temperature sensor has a built-in synchronous transceiver timing unit, through which the acquisition clock of all the wireless temperature sensors is synchronized.

[0007] The actual temperature is obtained by compensating the measured temperature collected by the wireless temperature sensor based on the constructed thermodynamic compensation matrix.

[0008] Based on the obtained real temperature, phase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis are performed. Based on the constructed multi-dimensional risk fusion model, a comprehensive risk index is determined, and an early warning is issued based on the comprehensive risk index.

[0009] In some embodiments, the synchronous temperature acquisition based on the wireless temperature sensor installed on each phase contact in the switch cabinet includes the following steps:

[0010] At the same initial time, all wireless temperature sensors are periodically and synchronously triggered to collect temperature data at set time intervals.

[0011] The single-interval temperature matrix for each interval is generated according to the time series, and the generated single-interval temperature matrices are stacked to form the temperature tensor of the entire switchgear.

[0012] In some embodiments, the process of compensating the measured temperature acquired by the wireless temperature sensor based on the constructed thermodynamic compensation matrix to obtain the true temperature includes the following steps:

[0013] A thermodynamic compensation matrix is ​​constructed based on the thermal influence coefficient between the three-phase contacts; the thermal influence coefficient between the three-phase contacts is determined by finite element thermal simulation and measured data.

[0014] The inverse of the thermodynamic compensation matrix is ​​obtained by matrix inversion, and the inverse matrix is ​​used to compensate the measured temperature collected by the wireless temperature sensor to obtain the true temperature.

[0015] In some embodiments, the step of performing interphase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis based on the obtained true temperature includes the following steps:

[0016] The actual temperature of the three-phase contacts is extracted at a fixed time, and the temperature difference between any two phase contacts is calculated to form a set of interphase temperature differences;

[0017] For single-phase contacts, the actual temperature over a continuous time period is collected, and the rate of temperature change between adjacent time points is calculated to form a set of temperature rise rates.

[0018] The actual temperature of the same phase contact in all intervals is extracted at a fixed time, and the temperature difference of that phase between different intervals is calculated to form a set of temperature differences between intervals.

[0019] In some embodiments, the step of performing interphase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis based on the obtained true temperature further includes the following steps:

[0020] The maximum temperature difference between phases is determined based on the set of temperature differences between phases; if the maximum temperature difference between phases exceeds a set first temperature threshold, the temperature between phases is determined to be abnormal.

[0021] The maximum temperature rise rate is determined based on the set of temperature rise rates; if the maximum temperature rise rate exceeds the set temperature rise rate threshold, the temperature rise of that phase is determined to be abnormal.

[0022] The maximum temperature difference between intervals is determined based on the set of temperature differences between intervals; if the maximum temperature difference between intervals exceeds the set second temperature threshold, the temperature of the interval is determined to be abnormal.

[0023] In some embodiments, the multi-dimensional risk fusion model is constructed based on the maximum temperature difference between phases, the maximum temperature rise rate, the maximum temperature difference between intervals, and a set weighting coefficient.

[0024] In some embodiments, the early warning based on the comprehensive risk index includes the following steps:

[0025] A mapping table is pre-constructed between the risk warning level of switchgear contact temperature and the comprehensive risk index; where the comprehensive risk index of different ranges corresponds to different risk warning levels of switchgear contact temperature.

[0026] Based on the determined comprehensive risk index and the mapping table, the corresponding switchgear contact temperature risk warning level is located and a response is initiated.

[0027] In some embodiments, a switchgear contact temperature monitoring device based on wireless synchronous time synchronization is also provided, the device comprising:

[0028] A synchronous acquisition module is used to synchronously acquire temperature based on wireless temperature sensors installed on each phase contact in the switch cabinet; wherein, the switch cabinet includes multiple bays, each bay includes three-phase contacts, and the wireless temperature sensor has a built-in synchronous transceiver timing unit, which synchronizes the acquisition clock of all the wireless temperature sensors.

[0029] The temperature compensation module is used to compensate the measured temperature collected by the wireless temperature sensor based on the constructed thermodynamic compensation matrix to obtain the true temperature.

[0030] The early warning module is used to perform phase-to-phase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis based on the obtained real temperature, and to determine a comprehensive risk index based on the constructed multi-dimensional risk fusion model, and to issue an early warning based on the comprehensive risk index.

[0031] In some embodiments, an electronic device is also provided, including: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and when the machine-readable instructions are executed by the processor, the steps of the switch cabinet contact temperature monitoring method based on wireless synchronous time synchronization described above are performed.

[0032] In some embodiments, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, performs the steps of the switch cabinet contact temperature monitoring method based on wireless synchronous time synchronization as described above.

[0033] This application discloses a method and apparatus for monitoring switchgear contact temperature based on wireless synchronous time synchronization. It utilizes wireless temperature sensors installed on each phase contact of the switchgear for synchronous temperature acquisition. The switchgear comprises multiple bays, each bay including three-phase contacts. Each wireless temperature sensor has a built-in synchronous transceiver time synchronization unit, which synchronizes the acquisition clock of all wireless temperature sensors. The measured temperatures acquired by the wireless temperature sensors are compensated using a constructed thermodynamic compensation matrix to obtain the true temperature. Based on the obtained true temperature, phase-to-phase temperature difference analysis, in-phase temperature rise analysis, and bay-to-bay comparison analysis are performed. Furthermore, a comprehensive risk index is determined based on a constructed multi-dimensional risk fusion model, and early warning is issued according to the comprehensive risk index. This method improves temperature measurement accuracy by acquiring three-phase contact temperature data simultaneously, correcting temperature measurement deviations caused by phase-to-phase heat dissipation, eliminating lateral phase contrast distortion, and enhancing the early identification capability of progressive defects through multi-dimensional analysis. It also enables graded early warning and ensures the safe and stable operation of power grid equipment. Attached Figure Description

[0034] To more clearly illustrate the technical solutions of the embodiments of this application, 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 of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 A flowchart of the switchgear contact temperature monitoring method based on wireless synchronous time synchronization described in an embodiment of this application is shown;

[0036] Figure 2 This document illustrates a flowchart of synchronous temperature acquisition based on wireless temperature sensors installed on each phase contact in a switch cabinet, as described in an embodiment of this application.

[0037] Figure 3 This document illustrates a flowchart illustrating how a wireless temperature sensor compensates for measured temperatures based on a constructed thermodynamic compensation matrix to obtain the true temperature, as described in an embodiment of this application.

[0038] Figure 4 The flowcharts of the interphase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis based on the obtained real temperature are shown in the embodiments of this application.

[0039] Figure 5 A schematic diagram of the switchgear contact temperature monitoring device based on wireless synchronous time synchronization described in an embodiment of this application is shown.

[0040] Figure 6 A schematic diagram of the structure of the electronic device described in an embodiment of this application is shown. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0042] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0043] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0044] In view of the technical problems mentioned in the background, this application provides a method and device for monitoring the temperature of switchgear contacts based on wireless synchronous time synchronization. It can improve the accuracy of contact defect identification and ensure the safe and stable operation of power grid equipment by constructing a multi-dimensional temperature data analysis system with spatiotemporal correlation.

[0045] See the instruction manual appendix Figure 1 This application provides a method for monitoring the temperature of switchgear contacts based on wireless synchronous time synchronization. The method includes the following steps:

[0046] S1. Synchronous temperature acquisition is performed based on the wireless temperature sensor installed on each phase contact in the switch cabinet; wherein, the switch cabinet includes multiple bays, each bay includes three phase contacts, and the wireless temperature sensor has a built-in synchronous transceiver timing unit, through which the acquisition clock of all the wireless temperature sensors is synchronized.

[0047] S2. The measured temperature collected by the wireless temperature sensor is compensated based on the constructed thermodynamic compensation matrix to obtain the true temperature;

[0048] S3. Based on the obtained real temperature, perform phase-to-phase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis, and determine the comprehensive risk index based on the constructed multi-dimensional risk fusion model, and issue an early warning based on the comprehensive risk index.

[0049] First, it should be noted that switchgear, as a device used in power systems for controlling, protecting and distributing power, is usually divided into multiple independent electrical compartments according to the different functions of the power circuit (such as incoming lines, outgoing lines, busbar sections, etc.). Each compartment contains a complete set of three-phase (A, B, C phase) contacts and related electrical components to realize specific power switching or control functions.

[0050] For details, please refer to the instruction manual appendix. Figure 2 In step S1, the synchronous temperature acquisition based on the wireless temperature sensor installed on each phase contact in the switch cabinet includes the following steps:

[0051] S101. At the same initial time, all wireless temperature sensors are periodically and synchronously triggered to collect temperature data according to a set time interval.

[0052] S102. Generate a single-interval temperature matrix for each interval according to the time series, and stack the generated single-interval temperature matrices to form a full switchgear temperature tensor.

[0053] In step S101, the clock synchronization of all wireless temperature sensors is first triggered by the synchronous transceiver timing unit, so that the acquisition clocks of each wireless temperature sensor are kept consistent; then, at the same system initial time... Trigger all wireless temperature sensors to perform their initial temperature acquisition, and then at set time intervals. Temperature acquisition of the three-phase contacts is periodically and synchronously triggered.

[0054] This allows for clock synchronization of all wireless temperature sensors through a built-in high-precision synchronous transceiver timing unit, ensuring that the temperature data of the three-phase contacts are collected at the same time, eliminating lateral phase contrast distortion, and solving the synchronization error problem of temperature measurement in existing technologies.

[0055] In step S102, the main focus is on constructing a temperature tensor for the entire switchgear (stacked temperature matrices of m intervals), thereby enabling unified analysis and comparison of the three-phase contact temperatures of all intervals, improving the comprehensiveness and accuracy of overall monitoring. For example, for a switchgear containing m intervals, in the time series... , , ...Collect temperature data, generate a single-interval temperature matrix T for each interval (rows represent time points, columns represent phases A, B, and C), and stack the temperature matrices of m intervals to form the temperature tensor S of the entire switchgear:

[0056]

[0057]

[0058] Where A represents phase A of the switchgear contact, B represents phase B of the switchgear contact, C represents phase C of the switchgear contact, m represents the number of bays contained in the switchgear, and n represents the number of times the temperature of the contacts of the same phase in each bay is sampled. This represents the temperature of the k-phase contact at position j at time i. A, B, C).

[0059] In a three-phase switchgear layout, phases A and C are located on opposite sides, with relatively independent heat dissipation environments (allowing heat to radiate outwards). Phase B, sandwiched in the middle, not only generates its own heat but is also affected by the heat radiation and conduction from phases A and C, resulting in interphase thermal coupling. This structure causes the measured temperature of phase B to include both its own actual heat generation and the heat conducted by adjacent phases. Directly using the measured value for analysis could lead to misjudgment as abnormal heat generation in phase B or underestimation of the severity of its actual defect. Based on this, in step S2, this application introduces a thermodynamic compensation matrix to correct the temperature measurement deviation of phase B caused by interphase heat dissipation, thus overcoming the bottleneck in phase B temperature compensation accuracy. For details, please refer to the appendix to the specification. Figure 3 The method of compensating the measured temperature collected by the wireless temperature sensor based on the constructed thermodynamic compensation matrix to obtain the true temperature includes the following steps:

[0060] S201. Construct a thermodynamic compensation matrix based on the thermal influence coefficient between the three-phase contacts; wherein, the thermal influence coefficient between the three-phase contacts is determined by finite element thermal simulation and measured data;

[0061] S202. The inverse matrix of the thermodynamic compensation matrix is ​​obtained by matrix inversion calculation, and the inverse matrix is ​​used to compensate the measured temperature collected by the wireless temperature sensor to obtain the true temperature.

[0062] In step S201, the thermal influence coefficient of phase A to phase B is determined mainly through finite element thermal simulation (simulating the thermal field distribution inside the switchgear) and a large amount of measured data (collecting three-phase temperatures under different loads and ambient temperatures). And the thermal influence coefficient of phase C relative to phase B. (The higher the coefficient, the stronger the thermal interference relative to phase B), thus constructing a thermodynamic compensation matrix reflecting the three-phase thermal coupling relationship. In one embodiment, the constructed thermodynamic compensation matrix is ​​as follows: .

[0063] In step S202, the relationship between the true temperature matrix Treal and the measured temperature matrix Tmeas is first defined as Tmeas = H Treal. Here, the measured temperature matrix Tmeas refers to the uncompensated temperature data matrix (including the effects of interphase thermal interference) directly acquired by the wireless temperature sensor in step S1, and the real temperature matrix Treal refers to the temperature data matrix after thermodynamic compensation to eliminate interphase thermal interference.

[0064] Then, the inverse matrix of H is obtained by matrix inversion. .

[0065] Then, for the temperature vector at each sampling time, use Treal=H -1 Tmeas performs calculations to obtain the compensated true temperature data, correcting the temperature deviation in phase B caused by interphase heat dissipation. The specific formula is as follows:

[0066]

[0067]

[0068] in, , , These represent the actual temperatures at which interphase thermal interference is eliminated after thermodynamic compensation for phases A, B, and C; , , These represent the temperatures of phases A, B, and C directly acquired and measured via wireless temperature sensors.

[0069] See the instruction manual appendix Figure 4 In step S3, the phase-to-phase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis based on the obtained true temperature include the following steps:

[0070] S301. Extract the actual temperature of the three-phase contacts at a fixed time and calculate the temperature difference between any two phase contacts to form a set of interphase temperature differences;

[0071] S302. Collect the actual temperature of a single-phase contact over a continuous time period and calculate the rate of temperature change between adjacent time points to form a set of temperature rise rates.

[0072] S303. Extract the true temperature of the same phase contact in all intervals at a fixed time, and calculate the temperature difference of the phase between different intervals to form a set of temperature differences between intervals.

[0073] In step S301, during the interphase temperature difference analysis, at a fixed time... Extracting the phase temperature vector Calculate the interphase temperature difference discrimination matrix ΔΦ to form an interphase temperature difference set.

[0074]

[0075] in, , representing the actual temperature values ​​of phases A, B, and C at time k; This represents the absolute temperature difference at the contact point between phase A and phase B. This represents the absolute temperature difference between the contacts of phase A and phase C. This represents the absolute temperature difference between the contact points of phase C and phase B.

[0076] Furthermore, the maximum interphase temperature difference is determined based on the set of interphase temperature differences. If the maximum interphase temperature difference exceeds a set first temperature threshold, an interphase temperature anomaly is determined. For example, max(ΔΦ) > ( When the temperature reaches 8℃ (the first set temperature threshold), an interphase temperature anomaly is marked.

[0077] In step S302, during the in-phase temperature rise analysis, a time-temperature vector of phase A is constructed for each single phase (taking phase A as an example). Calculate the temperature rise rate matrix This forms a set of temperature rise rates.

[0078]

[0079] in, This represents the temperature value of the A-phase contact at the nth time. Indicates within the time interval [ The instantaneous temperature rise rate of the inner A phase contact.

[0080] Furthermore, the maximum temperature rise rate is determined based on the set of temperature rise rates. If the maximum temperature rise rate exceeds a set temperature rise rate threshold, the temperature rise of that phase is considered abnormal. For example, max( )> ( =0.15℃ / s, which is the set temperature rise rate threshold.

[0081] In step S303, during the interval comparison analysis, at a fixed time... Extract the in-phase (e.g., phase A) temperature of all intervals. Calculate the interval temperature difference matrix This forms a collection of temperature differences between intervals.

[0082]

[0083] in, This represents the absolute temperature difference between phase A at interval m and interval 1 at the same time k.

[0084] Furthermore, the maximum temperature difference between intervals is determined based on the set of temperature differences between intervals. If the maximum temperature difference between intervals exceeds a set second temperature threshold, the interval temperature is considered abnormal. For example, max( )> ( =10℃, which is the set second temperature threshold).

[0085] It should be noted that by setting the first temperature threshold, the temperature rise rate threshold, and the second temperature threshold as described above, we can accurately capture different types of temperature risks. On the other hand, we can perform weighted fusion based on the captured multi-dimensional anomalies to determine a comprehensive risk index, which can be used to more comprehensively assess risks, reduce the limitations of single indicators, and improve the reliability of early warnings.

[0086] In one embodiment, interphase temperature anomalies, temperature rise anomalies, and inter-phase temperature anomalies are quantified as interphase imbalance factors, in-phase temperature rise factors, and inter-phase difference factors, respectively. A comprehensive risk index is calculated with weighting coefficients α=0.5 (main cause of interphase imbalance), β=0.3, and γ=0.2. .

[0087] Then, based on the calculated comprehensive risk index Early warning levels are categorized. In one embodiment, a mapping table between the switchgear contact temperature risk warning level and the comprehensive risk index is pre-constructed; wherein, different ranges of the comprehensive risk index correspond to different switchgear contact temperature risk warning levels; based on the determined comprehensive risk index and the mapping table, the corresponding switchgear contact temperature risk warning level is found and a response is initiated.

[0088] For example, R < 0.3 indicates normal temperature; 0.3 ≤ R < 0.6 indicates a Level I warning, suggesting a potential defect requiring close monitoring; 0.6 ≤ R < 0.9 indicates a Level II warning, which can be included in the routine inspection plan without emergency dispatch; R ≥ 0.9 indicates a Level III warning, requiring immediate shutdown and maintenance to prevent the accident from escalating. This multi-level warning system accurately reflects equipment status and provides a clear basis for operation and maintenance decisions, ultimately ensuring the safe and stable operation of the power system and achieving refined management of switchgear contact temperature risks.

[0089] In a specific application scenario:

[0090] Scenario: 110kV substation switchgear, load current 1250A, ambient temperature 32℃; sensor parameters: timing module accuracy ±0.3ms, temperature sampling rate 1Hz;

[0091] Step S1: Synchronize temperature acquisition.

[0092] Triggering condition: 5 seconds after the switchgear is closed;

[0093] Reference time The collected single-interval temperature matrix T is as follows:

[0094]

[0095] Step S2: Thermodynamic compensation calculation.

[0096] Compensation matrix operations:

[0097]

[0098] Step S3: Multi-dimensional feature extraction and risk fusion calculation.

[0099] Interphase temperature difference: 2.3℃, in-phase temperature rise rate: 0.18℃ / s, compared with phase B of the same type of cabinet at the same station at an interval of 73.8℃, the deviation is 7.6℃;

[0100] A Level II warning has been issued.

[0101] As can be seen, the switchgear contact temperature monitoring method provided in the application collects three-phase contact temperature data at the same time, corrects temperature measurement deviations caused by interphase heat dissipation, eliminates lateral phase contrast distortion, and improves temperature measurement accuracy; and through multi-dimensional analysis, it improves the early identification capability of progressive defects, realizes graded early warning, and ensures the safe and stable operation of power grid equipment.

[0102] Based on the same inventive concept, this application also provides a switchgear contact temperature monitoring device based on wireless synchronous time synchronization. Since the principle of the device in this application is similar to the switchgear contact temperature monitoring method based on wireless synchronous time synchronization described above, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0103] As per the instruction manual Figure 5 As shown in the figure, this application embodiment also provides a switchgear contact temperature monitoring device based on wireless synchronous time synchronization, the device comprising:

[0104] The synchronous acquisition module 501 is used to synchronously acquire temperature based on the wireless temperature sensor installed on each phase contact in the switch cabinet; wherein, the switch cabinet includes multiple bays, each bay includes three-phase contacts, and the wireless temperature sensor has a built-in synchronous transceiver timing unit, which synchronizes the acquisition clock of all the wireless temperature sensors.

[0105] Temperature compensation module 502 is used to compensate the measured temperature collected by the wireless temperature sensor based on the constructed thermodynamic compensation matrix to obtain the true temperature.

[0106] The early warning module 503 is used to perform phase-to-phase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis based on the obtained real temperature, and to determine a comprehensive risk index based on the constructed multi-dimensional risk fusion model, and to issue an early warning based on the comprehensive risk index.

[0107] In some embodiments, the synchronous acquisition module 501 performs synchronous temperature acquisition based on the wireless temperature sensors installed on each phase contact in the switch cabinet, including: periodically triggering all wireless temperature sensors to acquire temperature at the same initial time according to a set time interval; generating a single-interval temperature matrix for each interval according to the time sequence, and stacking the generated single-interval temperature matrices to form a full switch cabinet temperature tensor.

[0108] In some embodiments, the temperature compensation module 502 compensates the measured temperature collected by the wireless temperature sensor based on a constructed thermodynamic compensation matrix to obtain the true temperature, including: constructing a thermodynamic compensation matrix based on the thermal influence coefficient between the three-phase contacts; wherein the thermal influence coefficient between the three-phase contacts is determined by finite element thermal simulation and measured data; obtaining the inverse matrix of the thermodynamic compensation matrix by matrix inversion calculation, and using the inverse matrix to compensate the measured temperature collected by the wireless temperature sensor to obtain the true temperature.

[0109] In some embodiments, the early warning module 503 performs phase-to-phase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis based on the obtained real temperatures, including: extracting the real temperatures of the three-phase contacts at fixed times and calculating the temperature difference between any two phase contacts to form a phase-to-phase temperature difference set; collecting the real temperatures of a single-phase contact over a continuous time period and calculating the rate of temperature change between adjacent time points to form a rate of temperature rise set; extracting the real temperatures of the same phase contacts in all intervals at fixed times and calculating the temperature difference between different intervals for that phase to form a temperature difference set between intervals; and determining the maximum phase-to-phase temperature difference based on the phase-to-phase temperature difference set; wherein, if the maximum phase-to-phase temperature difference exceeds a set first temperature threshold, the phase-to-phase temperature is determined to be abnormal; determining the maximum temperature rise rate based on the rate of temperature rise set; wherein, if the maximum temperature rise rate exceeds a set temperature rise rate threshold, the phase temperature rise is determined to be abnormal; determining the maximum temperature difference between intervals based on the temperature difference set between intervals; wherein, if the maximum temperature difference between intervals exceeds a set second temperature threshold, the temperature between intervals is determined to be abnormal. The multi-dimensional risk fusion model is constructed based on the maximum temperature difference between phases, the maximum temperature rise rate, the maximum temperature difference between intervals, and the set weighting coefficients.

[0110] In some embodiments, the early warning module 503 issues an early warning based on the comprehensive risk index, including: pre-constructing a mapping table between the switchgear contact temperature risk warning level and the comprehensive risk index; wherein, different ranges of the comprehensive risk index correspond to different switchgear contact temperature risk warning levels; and finding the corresponding switchgear contact temperature risk warning level and responding based on the determined comprehensive risk index and the mapping table.

[0111] The switchgear contact temperature monitoring device based on wireless synchronous time synchronization described in this application synchronously acquires temperature data from wireless temperature sensors installed on each phase contact in the switchgear using a synchronous acquisition module. The switchgear comprises multiple bays, each bay including three-phase contacts. Each wireless temperature sensor has a built-in synchronous transceiver time synchronization unit, which synchronizes the acquisition clock of all wireless temperature sensors. A temperature compensation module compensates the measured temperature acquired by the wireless temperature sensors based on a constructed thermodynamic compensation matrix to obtain the true temperature. An early warning module performs phase-to-phase temperature difference analysis, in-phase temperature rise analysis, and bay-to-bay comparison analysis based on the obtained true temperature, and determines a comprehensive risk index based on a constructed multi-dimensional risk fusion model, issuing an early warning based on the comprehensive risk index. This device acquires three-phase contact temperature data simultaneously, corrects temperature measurement deviations caused by phase-to-phase heat dissipation, eliminates lateral phase contrast distortion, and improves temperature measurement accuracy. Furthermore, through multi-dimensional analysis, it enhances the early identification capability of progressive defects, achieves graded early warning, and ensures the safe and stable operation of power grid equipment.

[0112] Based on the same concept of the present invention, as shown in the appendix to the specification. Figure 6 As shown in the figure, an embodiment of this application provides the structure of an electronic device 600, which includes: at least one processor 601, at least one network interface 604 or other user interface 603, memory 605, and at least one communication bus 602. The communication bus 602 is used to realize the connection and communication between these components. The electronic device 600 may optionally include a user interface 603, including a display (e.g., touch screen, LCD, CRT, holographic imaging, or projector, etc.), a keyboard, or a clicking device (e.g., mouse, trackball, touchpad, or touch screen, etc.).

[0113] Memory 605 may include read-only memory and random access memory, and provides instructions and data to processor 601. A portion of memory 605 may also include non-volatile random access memory (NVRAM).

[0114] In some implementations, memory 605 stores executable modules or data structures, or subsets thereof, or extended sets thereof:

[0115] The 6051 operating system contains various system programs used to implement various basic business functions and handle hardware-based tasks.

[0116] Application module 6052 contains various applications, such as desktop (launcher), media player (MediaPlayer), browser (Browser), etc., to implement various application services.

[0117] In this embodiment of the application, by calling the program or instructions stored in the memory 605, the processor 601 is used to execute steps such as a switch cabinet contact temperature monitoring method based on wireless synchronous time synchronization.

[0118] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs steps such as those in a switchgear contact temperature monitoring method based on wireless synchronous time synchronization.

[0119] Specifically, the storage medium can be a general-purpose storage medium, such as a portable disk or hard drive. When the computer program on the storage medium is run, it can improve the accuracy of contact defect identification and ensure the safe and stable operation of power grid equipment by constructing a spatiotemporally correlated multidimensional temperature data analysis system.

[0120] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the mutual coupling or direct coupling or communication connection shown or discussed may be through some communication interface, and the indirect coupling or communication connection of the apparatus or units may be electrical, mechanical, or other forms.

[0121] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0122] In addition, the functional units in the embodiments provided in this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0123] If a function is implemented as a software functional unit 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 application, in essence, 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 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 application. 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.

[0124] Finally, it should be noted that the above embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application. All should be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

Claims

1. A method for monitoring the temperature of switchgear contacts based on wireless synchronous time synchronization, characterized in that, The method includes the following steps: Synchronous temperature acquisition is performed based on wireless temperature sensors installed on each phase contact in the switch cabinet; wherein, the switch cabinet includes multiple bays, each bay includes three phase contacts, and the wireless temperature sensor has a built-in synchronous transceiver timing unit, through which the acquisition clock of all the wireless temperature sensors is synchronized. The actual temperature is obtained by compensating the measured temperature collected by the wireless temperature sensor based on the constructed thermodynamic compensation matrix. Based on the obtained true temperatures, phase-to-phase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis are performed. A comprehensive risk index is determined based on the constructed multi-dimensional risk fusion model, and early warnings are issued according to the comprehensive risk index. Specifically, the true temperatures of the three-phase contacts are extracted at fixed times, and the temperature difference between any two phase contacts is calculated to form a set of phase-to-phase temperature differences. For single-phase contacts, their true temperatures are collected over continuous time periods, and the rate of temperature change between adjacent time points is calculated to form a set of temperature rise rates. At fixed times, the true temperatures of the same phase contacts in all intervals are extracted, and the temperature difference between different intervals for that phase is calculated to form a set of temperature differences between intervals. The maximum temperature difference between phases is determined based on the set of temperature differences between phases; if the maximum temperature difference between phases exceeds a set first temperature threshold, the temperature between phases is determined to be abnormal; the maximum temperature rise rate is determined based on the set of temperature rise rates; if the maximum temperature rise rate exceeds a set temperature rise rate threshold, the temperature rise of that phase is determined to be abnormal; the maximum temperature difference between intervals is determined based on the set of temperature differences between intervals; if the maximum temperature difference between intervals exceeds a set second temperature threshold, the temperature between intervals is determined to be abnormal. The multi-dimensional risk fusion model is constructed based on the maximum temperature difference between phases, the maximum temperature rise rate, the maximum temperature difference between intervals, and the set weighting coefficients; and a mapping table between the switchgear contact temperature risk warning level and the comprehensive risk index is pre-constructed; wherein, the comprehensive risk index of different intervals corresponds to different switchgear contact temperature risk warning levels; according to the determined comprehensive risk index and the mapping table, the corresponding switchgear contact temperature risk warning level is found and a response is made.

2. The method for monitoring the temperature of switchgear contacts based on wireless synchronous time synchronization according to claim 1, characterized in that, The method of synchronously acquiring temperature based on wireless temperature sensors installed on each phase contact in the switch cabinet includes the following steps: At the same initial time, all wireless temperature sensors are periodically and synchronously triggered to collect temperature data at set time intervals. The single-interval temperature matrix for each interval is generated according to the time series, and the generated single-interval temperature matrices are stacked to form the temperature tensor of the entire switchgear.

3. The method for monitoring the temperature of switchgear contacts based on wireless synchronous time synchronization according to claim 1, characterized in that, The method of compensating the measured temperature collected by the wireless temperature sensor based on the constructed thermodynamic compensation matrix to obtain the true temperature includes the following steps: A thermodynamic compensation matrix is ​​constructed based on the thermal influence coefficient between the three-phase contacts; the thermal influence coefficient between the three-phase contacts is determined by finite element thermal simulation and measured data. The inverse of the thermodynamic compensation matrix is ​​obtained by matrix inversion, and the inverse matrix is ​​used to compensate the measured temperature collected by the wireless temperature sensor to obtain the true temperature.

4. A switchgear contact temperature monitoring device based on wireless synchronous time synchronization, characterized in that, The device includes: A synchronous acquisition module is used to synchronously acquire temperature based on wireless temperature sensors installed on each phase contact in the switch cabinet; wherein, the switch cabinet includes multiple bays, each bay includes three-phase contacts, and the wireless temperature sensor has a built-in synchronous transceiver timing unit, which synchronizes the acquisition clock of all the wireless temperature sensors. The temperature compensation module is used to compensate the measured temperature collected by the wireless temperature sensor based on the constructed thermodynamic compensation matrix to obtain the true temperature. The early warning module is used to perform interphase temperature difference analysis, in-phase temperature rise analysis, and interval comparison analysis based on the obtained real temperatures, and to determine a comprehensive risk index based on the constructed multi-dimensional risk fusion model, and to issue early warnings based on the comprehensive risk index. Specifically, the real temperatures of the three-phase contacts are extracted at fixed times, and the temperature difference between any two phase contacts is calculated to form an interphase temperature difference set; for single-phase contacts, the real temperatures over a continuous time period are collected, and the temperature change rate between adjacent time points is calculated to form a temperature rise rate set; the real temperatures of the same phase contacts in all intervals are extracted at fixed times, and the temperature difference of that phase between different intervals is calculated to form an interval temperature difference set. The maximum temperature difference between phases is determined based on the set of temperature differences between phases; if the maximum temperature difference between phases exceeds a set first temperature threshold, the temperature between phases is determined to be abnormal; the maximum temperature rise rate is determined based on the set of temperature rise rates; if the maximum temperature rise rate exceeds a set temperature rise rate threshold, the temperature rise of that phase is determined to be abnormal; the maximum temperature difference between intervals is determined based on the set of temperature differences between intervals; if the maximum temperature difference between intervals exceeds a set second temperature threshold, the temperature between intervals is determined to be abnormal. The multi-dimensional risk fusion model is constructed based on the maximum temperature difference between phases, the maximum temperature rise rate, the maximum temperature difference between intervals, and the set weighting coefficients; and a mapping table between the switchgear contact temperature risk warning level and the comprehensive risk index is pre-constructed; wherein, the comprehensive risk index of different intervals corresponds to different switchgear contact temperature risk warning levels; according to the determined comprehensive risk index and the mapping table, the corresponding switchgear contact temperature risk warning level is found and a response is made.

5. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the steps of a switch cabinet contact temperature monitoring method based on wireless synchronous time synchronization as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of a switchgear contact temperature monitoring method based on wireless synchronous time synchronization as described in any one of claims 1 to 3.

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