A method, system and program product for monitoring the status of power distribution equipment

Abstract

The present application relates to the field of condition monitoring technology, and in particular to a method, a monitoring system and a program product for monitoring the condition of power distribution equipment. The method includes identifying the pulse characteristics and pulse characteristic values ​​corresponding to each pulse signal, and judging whether there is a hidden danger pulse characteristic based on a preset characteristic value; if so, determining the monitoring point corresponding to the hidden danger pulse characteristic as a monitoring point of interest, and determining the affected area based on the monitoring position of the monitoring point of interest in the power distribution equipment to be monitored, the hidden danger pulse characteristic and the hidden danger pulse characteristic value; determining the delay time based on the pulse rise rate; determining the affected temperature vibration data based on the affected area and the delay time, and verifying the hidden danger of the monitoring point of interest based on the affected temperature vibration data; determining the monitoring point of interest as a hidden danger monitoring point when the hidden danger verification passes, and generating a maintenance feedback prompt based on the monitoring position and hidden danger pulse characteristic corresponding to the hidden danger monitoring point. The present application facilitates timely discovery of hidden dangers in the operation of power distribution equipment.

Description

Technical Field

[0001] The present application relates to the technical field of condition monitoring, and in particular to a method, a monitoring system and a program product for monitoring the condition of power distribution equipment. Background Art

[0002] Distribution equipment is an important part of the power system, and its operating status directly affects the stability and safety of the entire power system. However, during operation, the performance of distribution equipment may gradually decline or even fail due to various factors. Therefore, it is necessary to monitor the status of distribution equipment in order to promptly detect performance changes of distribution equipment, reasonably arrange maintenance plans, and avoid excessive wear or damage of distribution equipment.

[0003] In the related art, the power distribution equipment is generally shut down for regular maintenance according to a fixed maintenance cycle. However, regular power outages for maintenance may affect the normal operation of the power distribution equipment, especially for some power distribution equipment without abnormal problems. In addition, regular power outages for maintenance also have a certain lag, and it is impossible to understand the operating status of each power distribution equipment in real time, and thus it may not be possible to promptly discover distribution equipment with abnormal conditions. Summary of the invention

[0004] In order to facilitate the timely discovery of hidden dangers in the operation of power distribution equipment and timely intervention in hidden dangers, thereby reducing losses caused by shutdown of power distribution equipment or actual abnormalities, the present application provides a power distribution equipment status monitoring method, monitoring system and program product.

[0005] In a first aspect, the present application provides a method for monitoring the status of a power distribution device, which adopts the following technical solution:

[0006] A method for monitoring the state of a power distribution device, comprising:

[0007] Obtain pulse signals of each monitoring point corresponding to the power distribution equipment to be monitored;

[0008] Identify the pulse feature corresponding to each pulse signal and the pulse feature value corresponding to the pulse feature, and determine whether there is a hidden danger pulse feature based on a preset feature value, wherein the hidden danger pulse feature corresponding to the hidden danger pulse feature has a value higher than the preset feature value;

[0009] If yes, the monitoring point corresponding to the hidden danger pulse characteristic is determined as the concerned monitoring point, and the affected area is determined based on the monitoring position of the concerned monitoring point in the power distribution equipment to be monitored, the hidden danger pulse characteristic and the hidden danger pulse characteristic value;

[0010] Obtaining a pulse rise rate of a pulse signal corresponding to a monitoring point of interest, and determining a delay duration based on the pulse rise rate;

[0011] Determine the influencing temperature and vibration data from the temperature and vibration simulation model corresponding to the power distribution equipment to be monitored based on the influencing area and the delay time, and verify the hidden dangers of the concerned monitoring point based on the influencing temperature and vibration data, wherein the temperature and vibration simulation model is composed of the temperature and vibration data corresponding to the power distribution equipment to be monitored;

[0012] When the hidden danger verification passes, the concerned monitoring point is determined to be a hidden danger monitoring point, and a maintenance feedback prompt is generated based on the monitoring position corresponding to the hidden danger monitoring point and the hidden danger pulse feature.

[0013] By adopting the above technical scheme, by comprehensively analyzing the pulse characteristics of the pulse signals corresponding to multiple monitoring points, it is convenient to timely and accurately locate the hidden danger pulse characteristics, that is, it is convenient to timely and accurately locate the hidden danger discharge situation of the distribution equipment to be monitored. Since the rise time of the pulse signal is very short, therefore, by comprehensively analyzing the monitoring position and hidden danger discharge situation of the monitoring point in the distribution equipment to be monitored, it is convenient to accurately locate the affected area where physical phenomena may occur, by locating the influencing temperature vibration data from the temperature vibration simulation model, and verifying the hidden danger discharge situation in the distribution equipment to be monitored based on the influencing temperature vibration data, it is convenient to further improve the accuracy of determining the hidden danger discharge situation, and finally, by timely generating maintenance feedback prompts, it is convenient for relevant maintenance personnel to intervene in the hidden danger discharge situation in time, thereby reducing the losses caused by shutdown or real abnormality of the distribution equipment to be monitored.

[0014] In a possible implementation, determining the affected area based on the monitoring position of the monitoring point of interest in the power distribution equipment to be monitored, the hidden danger pulse characteristic, and the hidden danger pulse characteristic value includes:

[0015] Determine a component of interest corresponding to the monitoring point of interest based on a monitoring position of the monitoring point of interest in the power distribution equipment to be monitored;

[0016] Acquire the electrical connection path of interest and the signal processing configuration of interest corresponding to the component of interest, and determine the signal attenuation rate based on the electrical connection path of interest and the signal processing configuration of interest;

[0017] An affected area is determined based on the component of interest, the signal attenuation rate, the hidden danger pulse feature, and the hidden danger pulse feature value.

[0018] By adopting the above technical solution, by paying attention to the monitoring position of the monitoring point in the distribution equipment, it is convenient to accurately determine the corresponding component of concern, and by analyzing the electrical connection path of concern and the signal processing configuration of concern corresponding to the component of concern, it is convenient to intuitively and accurately analyze the attenuation of the pulse signal during the propagation process. By comprehensively considering the attenuation of the pulse signal during the propagation process and the hidden danger pulse characteristics, it is convenient to improve the accuracy of determining the affected area.

[0019] In a possible implementation, the determining of the affected area based on the concerned component, the signal attenuation rate, the hidden danger pulse characteristic, and the hidden danger pulse characteristic value includes:

[0020] Determine the pulse intensity of the hidden danger pulse signal at each signal point in the component of interest based on the signal attenuation rate and the hidden danger pulse characteristic;

[0021] Determine a signal point of interest based on a preset intensity limit and the pulse intensity of each signal point, the pulse intensity corresponding to the signal point of interest being higher than the preset intensity limit;

[0022] The affected area is determined based on each signal point of interest.

[0023] By adopting the above technical solution and setting a preset intensity limit, it is easy to accurately identify the signal points of interest with higher pulse intensity, that is, by setting the preset intensity limit, it is easy to eliminate the signal points with weaker pulse intensity, thereby improving the effectiveness of the affected area.

[0024] In a possible implementation, the process of constructing the temperature-vibration simulation model includes:

[0025] Acquire temperature and vibration data of the power distribution equipment to be monitored in real time, wherein the temperature and vibration data include vibration temperature and vibration frequency of the power distribution equipment to be monitored during operation;

[0026] Based on the vibration temperature and the preset simulation model corresponding to the power distribution equipment to be monitored, a temperature change layer is formed;

[0027] Based on the vibration frequency and the preset simulation model corresponding to the power distribution equipment to be monitored, a frequency change layer is formed;

[0028] The temperature change layer and the frequency change layer are superimposed to obtain the temperature-vibration simulation model.

[0029] By adopting the above technical scheme, by simultaneously monitoring the two key parameters of vibration temperature and vibration frequency, it is convenient to more comprehensively reflect the operating status of the equipment to be monitored, and form a temperature change layer based on the vibration temperature and the preset simulation model, so as to more intuitively display the temperature change of the equipment to be monitored during operation. Similarly, a frequency change layer is formed based on the vibration frequency and the preset simulation model, so as to more clearly reflect the changing trend of the vibration frequency of the equipment to be monitored during operation. By observing the temperature-vibration simulation model, it is convenient to timely discover the state changes that may occur in the equipment to be monitored during operation, thereby facilitating the verification of hidden dangers of discharge.

[0030] In a possible implementation method, after the hidden danger monitoring point is determined, the following steps are also included:

[0031] Performing time series analysis on the hidden danger pulse signal corresponding to the hidden danger monitoring point to obtain time trend characteristics;

[0032] Based on the time trend characteristics and the hidden danger pulse signal, determining the predicted partial discharge pulse signal corresponding to the hidden danger monitoring point;

[0033] Determine from a historical partial discharge pulse signal entry library a similar partial discharge pulse signal corresponding to the predicted partial discharge pulse signal, and a historical alarm event corresponding to the similar partial discharge pulse signal;

[0034] The historical alarm events and the maintenance feedback prompts are fed back together.

[0035] By adopting the above technical scheme, by performing time series analysis on the hidden danger pulse signals corresponding to the hidden danger monitoring points, it is convenient to extract the time trend characteristics corresponding to the hidden danger pulse signals. These time trend characteristics are convenient to reflect the changing rules of the hidden danger pulse signals over time, thereby facilitating the accurate prediction of the hidden danger pulse signals in the future. In addition, by determining the similar partial discharge pulse signals corresponding to the predicted partial discharge pulse signals and the historical alarm events corresponding to the similar partial discharge pulse signals from the historical partial discharge pulse signal entry library, it is convenient to provide valuable maintenance references for relevant maintenance personnel, thereby facilitating the improvement of the intervention rate of relevant maintenance personnel on hidden danger discharge situations.

[0036] In a possible implementation, determining a similar partial discharge pulse signal corresponding to the predicted partial discharge pulse signal from a historical partial discharge pulse signal record library includes:

[0037] Based on the predicted partial discharge pulse signal and the preset signal matching value, determining an initial partial discharge pulse signal from the historical partial discharge pulse signal entry library;

[0038] Compare each initial partial discharge pulse signal with the predicted partial discharge pulse signal to determine a difference pulse between each initial partial discharge pulse signal and the predicted partial discharge pulse signal and a difference duration corresponding to each difference pulse;

[0039] Determine a signal similarity value of each initial partial discharge pulse signal based on the total number of difference pulses and the total difference duration corresponding to each initial partial discharge pulse signal;

[0040] Based on the signal similarity value of each initial partial discharge pulse signal, a similar partial discharge pulse signal corresponding to the predicted partial discharge pulse signal is determined from all initial partial discharge pulse signals.

[0041] By adopting the above technical scheme, the initial partial discharge pulse signal is screened out from the historical partial discharge pulse signal recording library by means of a preset signal matching value, so as to ensure that the screened initial partial discharge pulse signal is similar to the predicted partial discharge pulse signal to some extent. The preliminary screening can improve the rate of determining similar partial discharge pulse signals from the historical partial discharge pulse signal recording library. In addition, by comprehensively analyzing and comparing the total number of difference pulses and the total difference duration corresponding to each initial partial discharge pulse signal, the accuracy of locating similar partial discharge pulse signals from the initial partial discharge pulse signal can be improved.

[0042] In a second aspect, the present application provides a monitoring system, which adopts the following technical solution:

[0043] A monitoring system, comprising:

[0044] at least one processor;

[0045] Memory;

[0046] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned distribution equipment status monitoring method.

[0047] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0048] A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the above-mentioned distribution equipment status monitoring method.

[0049] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution:

[0050] A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the above-mentioned distribution equipment status monitoring method is implemented.

[0051] In summary, the present application includes at least one of the following beneficial technical effects:

[0052] By comprehensively analyzing the pulse characteristics of the pulse signals corresponding to multiple monitoring points, it is convenient to timely and accurately locate the hidden danger pulse characteristics, that is, it is convenient to timely and accurately locate the hidden danger discharge situation of the distribution equipment to be monitored. Since the rise time of the pulse signal is very short, therefore, by comprehensively analyzing the monitoring position and hidden danger discharge situation of the monitoring point in the distribution equipment to be monitored, it is convenient to accurately locate the affected area where physical phenomena may occur, and by locating the influencing temperature vibration data from the temperature vibration simulation model and verifying the hidden danger discharge situation in the distribution equipment to be monitored based on the influencing temperature vibration data, it is convenient to further improve the accuracy of determining the hidden danger discharge situation. Finally, by timely generating maintenance feedback prompts, it is convenient for relevant maintenance personnel to intervene in the hidden danger discharge situation in time, thereby reducing the losses caused by shutdown or real abnormality of the distribution equipment to be monitored.

[0053] By setting a preset intensity limit, it is easy to accurately identify the signal points of interest with higher pulse intensity, that is, by setting the preset intensity limit, it is easy to eliminate the signal points with weaker pulse intensity, thereby improving the effectiveness of the affected area. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flow chart of a method for monitoring the state of a power distribution device in an embodiment of the present application;

[0055] Figure 2 This is a schematic diagram of a process for determining an impact area in an embodiment of the present application;

[0056] Figure 3 It is a structural schematic diagram of a monitoring system in an embodiment of the present application. DETAILED DESCRIPTION

[0057] The following is combined with Figures 1 to 3 This application is described in further detail.

[0058] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0060] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0061] Specifically, the embodiment of the present application provides a method for monitoring the state of a power distribution device, which is executed by a monitoring system, and the monitoring system can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and the embodiment of the present application does not limit this.

[0062] refer to Figure 1 , Figure 1 : is a flow chart of a method for monitoring the state of a power distribution device in an embodiment of the present application, the method comprising steps S110 to S160, wherein:

[0063] Step S110: Acquire the pulse signal of each monitoring point corresponding to the power distribution equipment to be monitored.

[0064] Specifically, the power distribution equipment to be monitored may be a power distribution cabinet, a switch cabinet, a transformer, etc. The specific equipment is not specifically limited in the embodiments of the present application, as long as it is a power distribution equipment that needs to be state monitored. Since partial discharge is one of the important precursors of failure of power distribution equipment, by monitoring whether there is partial discharge phenomenon in the power distribution equipment to be monitored, health monitoring of the operating status of the power distribution equipment to be monitored can be achieved. Since the partial discharge phenomenon of the power distribution equipment to be monitored may occur in different parts of the power distribution equipment, and the discharge intensity and frequency may also vary from part to part, therefore, by setting multiple monitoring points on the power distribution equipment to be monitored, it is convenient to comprehensively cover the key parts of the power distribution equipment to be monitored, so as to more accurately reflect the partial discharge situation of the power distribution equipment to be monitored.

[0065] The monitoring points of the distribution equipment can be set at the core connection wire, the clamp grounding wire, the cable terminal or body, the inside of the distribution equipment, etc. Among them, the insulation material is between the winding and the core of the distribution equipment to be monitored, which can form a capacitor, and the pulse signal generated by the partial discharge phenomenon is a high-frequency signal of several hundred kilohertz to several megahertz. Therefore, if there is a partial discharge linearity, the pulse signal generated by the partial discharge phenomenon can be transmitted from the winding to the core through the capacitor, and then form a loop through the core grounding. Therefore, the core grounding wire can be used as a monitoring point to monitor the pulse signal generated inside the distribution equipment to be monitored; since the clamps of the distribution equipment to be monitored generally adopt a single-point grounding mode, the partial discharge phenomenon on the clamps is more obvious, and the clamp connection wire is used as a monitoring point to facilitate the effective monitoring of the pulse signal generated on the coil; when the cable of the distribution equipment to be monitored has a partial discharge phenomenon, a coaxial capacitor is formed between the cable and the shielding layer, and the pulse signal corresponding to the partial discharge phenomenon flows into the earth along the shielding layer through the capacitor, which will generate a pulse signal on its grounding lead or other ground potential connection line, so the cable terminal connector grounding wire or the cable body can be used as a monitoring point. High-frequency current transformers can be used as monitoring equipment on the core connecting wires, clamp grounding wires, cable terminals or the main body to collect pulse signals at each monitoring point and upload the collected pulse signals to the monitoring system.

[0066] In addition, since the partial discharge phenomenon of the distribution equipment to be monitored is an electrical breakdown of the insulating gas, the breakdown of the insulating medium causes a short-term current to flow through the conductor. The current passes through the characteristic impedance of the distribution equipment to be monitored, generating a pulse voltage on the conductor, which propagates from the partial discharge source. Since the rise time of the pulse signal corresponding to the partial discharge phenomenon is very short and the frequency band is very wide, it will cause electrical resonance in the distribution equipment to be monitored during the propagation process, thereby exciting electromagnetic waves. Therefore, the monitoring point is set inside the distribution equipment to be monitored to facilitate the reception of electromagnetic wave signals generated by the partial discharge phenomenon. UHF sensors can be used to receive electromagnetic wave signals for monitoring.

[0067] Step S120: Identify the pulse feature corresponding to each pulse signal and the pulse feature value corresponding to the pulse feature, and determine whether there is a hidden danger pulse feature based on the preset feature value, and the hidden danger pulse feature corresponding to the hidden danger pulse feature has a higher hidden danger pulse feature value than the preset feature value.

[0068] Specifically, for any pulse signal, the pulse features contained in the pulse signal can be identified by a preset feature recognition algorithm. The pulse features may include pulse amplitude, pulse width, pulse period, pulse rise time, pulse fall time, etc., wherein the pulse amplitude is the maximum value of the pulse signal; the pulse width is the time taken for the pulse signal to rise from a certain threshold to fall back to the threshold; the pulse period is the time interval between two consecutive pulses; the pulse rise time is the time taken for the pulse signal to rise from a lower threshold to a higher threshold; the pulse fall time is the time taken for the pulse signal to fall from a higher threshold to a lower threshold. The specific pulse features and the preset feature recognition algorithm are not specifically limited in the embodiments of the present application. The pulse feature value is the quantization result of the corresponding pulse feature. For example, when the pulse feature is the pulse amplitude, the pulse feature value is a specific pulse amplitude value. Different pulse features correspond to different preset feature values. There is a judgment mapping relationship between the pulse feature and the preset feature value. The judgment mapping relationship contains the preset feature values ​​corresponding to each pulse feature, which can be determined by relevant staff based on historical experimental data and uploaded to the monitoring system. If the pulse feature value of a certain pulse feature is higher than the corresponding preset feature value, it can be determined that the pulse signal may have a partial discharge phenomenon. By adopting the above method, it is possible to screen or judge whether each pulse signal contains hidden danger pulse characteristics.

[0069] Step S130: If yes, the monitoring point corresponding to the hidden danger pulse characteristic is determined as the concerned monitoring point, and the affected area is determined based on the monitoring position of the concerned monitoring point in the power distribution equipment to be monitored, the hidden danger pulse characteristic and the hidden danger pulse characteristic value.

[0070] Specifically, when the pulse feature corresponding to the pulse signal contains a hidden danger pulse feature, the pulse signal can be determined to be a pulse signal of concern, and correspondingly, the monitoring point corresponding to the hidden danger pulse feature can be determined as a monitoring point of concern. The pulse signal of concern may contain one hidden danger pulse feature, or may contain multiple hidden danger pulse features, and the specific number is not specifically limited in the embodiments of the present application. The monitoring point identifier corresponding to each monitoring point can reflect the monitoring position of the monitoring point in the power distribution equipment to be monitored. The monitoring point identifier can be determined by the relevant staff and uploaded to the monitoring system. The monitoring point identifier can be text or a number, as long as the corresponding monitoring position can be quickly and accurately located through the monitoring point identifier.

[0071] Since partial discharge is generally caused by breakdown of a local area in an insulating medium, this discharge usually occurs inside or on the surface of an insulator, and the discharge area is relatively small, and the partial discharge signal rise time is fast, a series of physical phenomena such as electromagnetic effects and thermal effects may occur after the partial discharge occurs, that is, it may cause the temperature in other areas to rise, or the vibration frequency to increase, etc. Different monitoring locations, hidden danger pulse characteristics, and hidden danger pulse characteristic values ​​correspond to different affected areas. The specific method of determining the affected area can be:

[0072] Based on the monitoring position of the monitoring point of concern in the distribution equipment to be monitored, determine the component of concern corresponding to the monitoring point of concern; obtain the electrical connection path of concern and the signal processing configuration of concern corresponding to the component of concern, and determine the signal attenuation rate based on the electrical connection path of concern and the signal processing configuration of concern; determine the affected area based on the component of concern, the signal attenuation rate, the hidden danger pulse characteristics and the hidden danger pulse characteristic value.

[0073] Specifically, the monitoring object corresponding to the monitoring point of interest is the component of interest. For example, if the monitoring point of interest is the core grounding wire, the corresponding component of interest can be determined as the core grounding wire; if the monitoring point of interest is the cable terminal, the corresponding component of interest can be determined as the cable terminal. The layout position of the monitoring point of interest may affect the location and area of ​​the region where the physical phenomenon is monitored. In addition, the electrical connection path of interest corresponding to the component of interest and the signal processing configuration of the component of interest itself may also affect the location and area of ​​the region where the physical phenomenon is monitored. Among them, the upstream component and downstream component of the component of interest can be understood through the power connection path of interest corresponding to the component of interest. Based on this, the initial position of the corresponding impact area of ​​the component of interest can be preliminarily determined. For example, component A is connected to component B. According to the power connection path of interest, component A can be determined as the upstream component of component B. At this time, if the monitoring point is set at component B, the corresponding impact area should be near component B and near the downstream direction of component B.

[0074] The signal processing configuration of interest is a signal processing device added to the component of interest, such as a filter, a signal amplifier, etc. Not all components of interest include the signal processing configuration of interest. If the component of interest does not include the signal processing configuration of interest, the pulse signal may be assumed to gradually attenuate according to a preset attenuation frequency, wherein the preset attenuation frequency may be determined by relevant staff based on historical experimental data and uploaded to the monitoring system; if the component of interest includes the signal processing configuration of interest or the downstream component of the component of interest in the power connection path includes the signal processing configuration, the signal attenuation rate must be determined after re-analysis. When determining the signal attenuation rate, a simulated signal propagation model may be constructed based on the component of interest, the power connection path of interest, and the signal processing configuration of interest. Based on the simulated signal propagation model, the propagation path of the pulse signal and the pulse intensity at each propagation position are simulated to determine the signal attenuation rate. The method for determining the signal attenuation rate is not specifically limited in the embodiments of the present application.

[0075] Finally, the affected area is determined by analyzing the concerned components, signal attenuation rate, hidden danger pulse characteristics and hidden danger pulse characteristic values. The affected area is the area that may undergo physical changes due to the pulse signal generated at the concerned monitoring point, that is, under the premise of considering signal attenuation, when a pulse signal is generated at the concerned monitoring point, it may cause high temperature or frequent vibration in the affected area. Since it is necessary to determine the affected area based on the signal attenuation rate, when the pulse signal generated by the concerned monitoring point is transmitted to each position in the affected area, the pulse intensity is not less than the preset intensity value. The specific preset intensity value is not specifically limited in the embodiment of the present application.

[0076] Step S140: Obtain the pulse rise rate of the pulse signal corresponding to the monitoring point of interest, and determine the delay time based on the pulse rise rate.

[0077] Specifically, the rapid rise of the pulse signal may mean that it carries a higher energy, or that it contains more high-frequency components. The response time of the monitoring system is also an important consideration. If the response time of the monitoring system is slow, it may not be able to capture the rising edge of the pulse signal in time. At this time, it may be necessary to delay monitoring of the pulse signal to ensure that the time of occurrence of the physical phenomenon can be accurately measured. The faster the pulse rise rate, the longer the corresponding delay duration. The delay duration corresponding to the pulse rise rate can be determined based on a preset delay mapping relationship, where the preset delay mapping relationship is the correspondence between the pulse rise rate and the delay duration, which can be determined by relevant staff based on historical experimental data and uploaded to the monitoring system. The specific content is not specifically limited in the embodiments of this application.

[0078] Step S150: Determine the influencing temperature and vibration data from the temperature and vibration simulation model corresponding to the power distribution equipment to be monitored based on the impact area and delay time, and verify hidden dangers of the monitoring points of concern based on the influencing temperature and vibration data. The temperature and vibration simulation model is composed of the temperature and vibration data corresponding to the power distribution equipment to be monitored.

[0079] Specifically, by analyzing the hidden danger pulse characteristics in the pulse signal, it can be preliminarily determined that there may be local discharge phenomenon at the monitoring point of concern, but it cannot be guaranteed that local discharge phenomenon has occurred at the monitoring point of concern. Therefore, it is also necessary to reversely verify the physical phenomena occurring in the affected area, wherein the influencing temperature and vibration data of the affected area can be viewed or analyzed from the temperature and vibration simulation model, and reverse verification can be completed based on this. The influencing temperature and vibration data include but are not limited to the vibration temperature and vibration frequency of each component in the affected area during operation. Among them, the temperature and vibration simulation model is composed of the temperature and vibration data corresponding to the distribution equipment to be monitored. The temperature and vibration data of the distribution equipment to be monitored can be collected by the temperature and vibration sensor arranged inside the distribution equipment to be monitored, and uploaded to the monitoring system. When uploaded to the monitoring system, it is transmitted through the 485 serial connection method. The specific transmission method is not specifically limited in the embodiment of the present application. The vibration parameters measured by the temperature vibration sensor can be 3-axis, the speed measurement range can be 0.01-200 mm / s, the acceleration measurement range can be ±16 g, the temperature measurement range can be -40-85°C, etc. The specific parameters of the temperature vibration sensor are not specifically limited in the embodiment of the present application, as long as the vibration temperature and vibration frequency of the monitored distribution equipment during operation can be collected.

[0080] The construction process of the temperature-vibration simulation model may specifically include:

[0081] Acquire the temperature and vibration data of the power distribution equipment to be monitored in real time, the temperature and vibration data include the vibration temperature and vibration frequency of the power distribution equipment to be monitored during operation; form a temperature change layer based on the vibration temperature and the preset simulation model corresponding to the power distribution equipment to be monitored; form a frequency change layer based on the vibration frequency and the preset simulation model corresponding to the power distribution equipment to be monitored; superimpose the temperature change layer and the frequency change layer to obtain a temperature and vibration simulation model.

[0082] Specifically, the vibration temperature is the temperature generated during the operation of the power distribution equipment to be monitored, and the vibration frequency is the vibration frequency generated by the mechanical operation of the power distribution equipment to be monitored during operation. The preset simulation model is constructed based on the basic parameters corresponding to the power distribution equipment to be monitored, and the preset simulation model contains simulated internal components and simulated electrical connection paths corresponding to the internal components and electrical connection paths of the power distribution equipment to be monitored, which can be uploaded to the monitoring system by relevant staff in advance. Among them, based on the preset heat conduction algorithm or the preset heat convection equation, a temperature change layer can be constructed in the preset simulation model to characterize the temperature distribution of the power distribution equipment to be monitored during operation. The specific preset heat conduction algorithm or the preset heat convection equation is not specifically limited in the embodiments of the present application. Similarly, the method of determining the frequency change layer is not specifically limited in the embodiments of the present application.

[0083] Since both the temperature change layer and the frequency change layer are constructed based on the preset simulation model, the same model points between the temperature change layer and the frequency change layer can be determined, and the temperature change layer and the frequency change layer can be superimposed based on the same model points to obtain a temperature-vibration simulation model. By separately constructing the temperature change layer corresponding to the vibration temperature and the frequency change layer corresponding to the vibration frequency, it is convenient to view the temperature change trend of the distribution equipment to be monitored during operation, or the frequency change trend of the distribution equipment to be monitored during operation according to one's own needs.

[0084] Since the occurrence of partial discharge does not indicate that the distribution equipment to be monitored has experienced an abnormality or failure, if only the temperature-vibration simulation model is observed, it may be possible to determine whether the distribution equipment to be monitored needs to be repaired. Moreover, by analyzing the pulse characteristics in the pulse signal and the corresponding pulse characteristic values ​​of the pulse characteristics, it can only be predicted that partial discharge may have occurred at the monitoring point of interest. After accurately determining the affected temperature-vibration data corresponding to the affected area through the delay time, reverse verification can be performed based on the affected temperature-vibration data to assist in determining whether partial discharge has occurred at the monitoring point of interest, that is, to assist in determining whether the distribution equipment to be monitored needs to be repaired. The affected temperature-vibration data include the affected vibration temperature and the affected vibration frequency. If the affected vibration temperature is higher than the preset affected temperature threshold, or the affected vibration frequency is higher than the preset affected frequency threshold, the verification can be passed, that is, it can be determined that partial discharge has occurred at the monitoring point of interest.

[0085] Step S160: When the hidden danger verification passes, the monitoring point of interest is determined to be a hidden danger monitoring point, and a maintenance feedback prompt is generated based on the monitoring position corresponding to the hidden danger monitoring point and the hidden danger pulse characteristics.

[0086] Specifically, if the monitoring point of interest has been determined to be a hidden danger monitoring point through reverse verification, that is, it has been determined that local discharge has occurred at the monitoring point of interest, maintenance feedback prompts can be generated in a timely manner to remind relevant maintenance personnel to perform timely maintenance on the hidden danger monitoring point.

[0087] For the embodiments of the present application, by comprehensively analyzing the pulse characteristics corresponding to the pulse signals corresponding to multiple monitoring points, it is convenient to timely and accurately locate the hidden danger pulse characteristics, that is, it is convenient to timely and accurately locate the hidden danger discharge situation existing in the distribution equipment to be monitored. Since the rise time of the pulse signal is very short, therefore, by comprehensively analyzing the monitoring position and hidden danger discharge situation of the monitoring point in the distribution equipment to be monitored, it is convenient to accurately locate the affected area where physical phenomena may occur, by locating the influencing temperature vibration data from the temperature vibration simulation model, and verifying the hidden danger discharge situation existing in the distribution equipment to be monitored based on the influencing temperature vibration data, it is convenient to further improve the accuracy of determining the hidden danger discharge situation, and finally, by timely generating maintenance feedback prompts, it is convenient for relevant maintenance personnel to intervene in the hidden danger discharge situation in time, thereby facilitating reducing the losses caused by shutdown or real abnormality of the distribution equipment to be monitored.

[0088] Further, in order to improve the effectiveness of the determined impact area, the impact area is determined based on the concerned component, the signal attenuation rate, the hidden danger pulse characteristic and the hidden danger pulse characteristic value, which may specifically include steps S210 to S230, such as Figure 2 As shown, where:

[0089] Step S210: Based on the signal attenuation rate and the hidden danger pulse characteristics, the pulse strength of the hidden danger pulse signal at each signal point in the component of interest is determined.

[0090] Specifically, each component of interest includes multiple signal points, and each signal point is provided with a signal strength sensor, which can be used to collect the pulse strength at the signal point and upload it to the monitoring system. Based on the hidden danger pulse characteristics and hidden danger pulse characteristic values, it is convenient to determine the abnormality of the pulse signal, so as to locate the initial pulse strength of the pulse signal. Based on the initial pulse strength, the distance between each signal point and the hidden danger monitoring point, and the signal attenuation rate, the pulse strength of each signal point can be determined, and it can also be determined by the simulated signal propagation model constructed in the above embodiment.

[0091] Step S220: determining a signal point of interest based on a preset strength limit and the pulse strength of each signal point, wherein the pulse strength corresponding to the signal point of interest is higher than the preset strength limit.

[0092] Step S230: determining the affected area based on each signal point of interest.

[0093] Specifically, the preset intensity limit can be determined by relevant staff based on historical experimental data and uploaded to the monitoring system. Multiple signal points can be screened through the preset intensity limit. When the pulse intensity corresponding to the signal point is small, it means that the pulse signal occurring at the monitoring point of concern has little impact on the signal point. By eliminating signal points with smaller pulse intensity, it is easy to improve the accuracy of determining the affected area based on the signal points. Finally, the closed area formed by connecting various signal points of concern can be determined as the affected area.

[0094] For the embodiment of the present application, by setting a preset intensity limit, it is convenient to accurately identify the signal points of interest with higher pulse intensity, that is, by setting the preset intensity limit, it is convenient to eliminate the signal points with weaker pulse intensity, thereby facilitating improving the effectiveness of the affected area.

[0095] Furthermore, in order to improve the intervention rate of relevant maintenance personnel on hidden danger discharge situations, after determining the hidden danger monitoring point, the method provided in the embodiment of the present application also includes:

[0096] Perform time series analysis on the hidden danger pulse signals corresponding to the hidden danger monitoring points to obtain time trend characteristics; determine the predicted partial discharge pulse signals corresponding to the hidden danger monitoring points based on the time trend characteristics and the hidden danger pulse signals; determine the similar partial discharge pulse signals corresponding to the predicted partial discharge pulse signals and the historical alarm events corresponding to the similar partial discharge pulse signals from the historical partial discharge pulse signal entry library; and provide feedback on the historical alarm events and maintenance feedback prompts together.

[0097] Specifically, the time trend characteristics may be periodic characteristics, trend characteristics, volatility characteristics, pulse interval characteristics, etc., among which the periodic characteristics may be manifested as the repeated appearance of a pulse signal within a fixed time interval. The periodic characteristics are helpful in identifying the repetitive patterns in the pulse signal and are convenient for predicting the time when the pulse signal will appear in the future; the trend characteristics are that the intensity of the pulse signal shows an upward, downward or stable trend over time. The trend characteristics are convenient for reflecting a certain long-term change law of the pulse signal; the volatility characteristics are that the pulse signal may show random volatility, that is, the signal strength or frequency of the pulse signal fluctuates within a certain range; the pulse interval characteristics are used to analyze the time interval between pulse signals, which is convenient for understanding the distribution law and frequency characteristics of the pulse signal.

[0098] The predicted partial discharge pulse signal is the change of the hidden danger pulse signal in a future period of time under the influence of the time trend characteristics. Specifically, a preset machine learning algorithm can be used to train a large amount of historical pulse information data to obtain a trained signal prediction model, and then the time trend characteristics and the hidden danger pulse signal are imported into the trained signal prediction model to obtain the predicted partial discharge pulse signal. Among them, the specific preset machine algorithm and the training process of the signal prediction model are not specifically limited in the embodiments of the present application, as long as the predicted partial discharge pulse signal can be obtained.

[0099] The historical partial discharge pulse signal entry library contains a large number of historical partial discharge pulse signals and historical alarm events corresponding to each historical partial discharge pulse signal. The historical alarm events contain corresponding historical maintenance strategies. Similar partial discharge pulse signals corresponding to the predicted partial discharge pulse signals can be determined from the historical partial discharge pulse signal entry library by signal comparison. Finally, the historical alarm events and maintenance feedback prompts corresponding to the similar partial discharge pulse signals are fed back together, which is convenient for providing valuable maintenance references for relevant maintenance personnel, thereby facilitating the improvement of the intervention rate of relevant maintenance personnel on hidden dangers of discharge situations.

[0100] Furthermore, in order to improve the accuracy of determining similar partial discharge pulse signals, determining similar partial discharge pulse signals corresponding to the predicted partial discharge pulse signals from the historical partial discharge pulse signal entry library may specifically include:

[0101] Based on the predicted partial discharge pulse signal and the preset signal matching value, the initial partial discharge pulse signal is determined from the historical partial discharge pulse signal entry library.

[0102] Specifically, the predicted partial discharge pulse signal is initially compared with the historical partial discharge pulse signal to determine an initial partial discharge signal whose signal matching value is higher than a preset signal matching value. That is, an initial screening can be performed from the historical partial discharge signal entry library through the preset signal matching value. The preliminary screening facilitates improving the rate of determining similar partial discharge pulse signals from the historical partial discharge pulse signal entry library. The specific number of initial partial discharge pulse signals and the specific preset signal matching value are not specifically limited in the embodiments of the present application.

[0103] Each initial partial discharge pulse signal is compared with the predicted partial discharge pulse signal to determine a difference pulse between each initial partial discharge pulse signal and the predicted partial discharge pulse signal and a difference time length corresponding to each difference pulse.

[0104] Specifically, after determining the initial partial discharge pulse signal, it is necessary to further compare each initial partial discharge pulse signal with the predicted partial discharge pulse signal to identify the specific difference points between each initial partial discharge pulse signal and the predicted partial discharge pulse signal, that is, the difference pulse, and record the total number of difference pulses corresponding to each initial partial discharge pulse signal and the total duration of the difference durations corresponding to all difference pulses.

[0105] Based on the total number of difference pulses and the total difference duration corresponding to each initial partial discharge pulse signal, a signal similarity value of each initial partial discharge pulse signal is determined.

[0106] Specifically, the total number of difference pulses corresponding to each initial partial discharge pulse signal can be determined as the total number of difference pulses, and the total duration of all difference pulses corresponding to each initial partial discharge pulse signal can be determined as the total difference duration. Finally, based on the preset difference weight, the total number of difference pulses and the total difference duration, the signal similarity value of each initial partial discharge pulse signal is calculated. Among them, the preset difference weight can be determined by relevant staff according to historical experimental data and uploaded to the monitoring system.

[0107] Based on the signal similarity value of each initial partial discharge pulse signal, a similar partial discharge pulse signal corresponding to the predicted partial discharge pulse signal is determined from all initial partial discharge pulse signals.

[0108] Specifically, the initial partial discharge pulse signal with the highest signal similarity value is determined as the similar partial discharge pulse signal corresponding to the predicted partial discharge pulse signal, thereby improving the accuracy of locating the similar partial discharge pulse signal from the initial partial discharge pulse signal.

[0109] The present application provides a monitoring system, such as Figure 3 As shown, Figure 3 The monitoring system 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the monitoring system 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the monitoring system 300 does not constitute a limitation on the embodiments of the present application.

[0110] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0111] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0112] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0113] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0114] The monitoring system includes, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The monitoring system shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0115] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0116] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method in any of the above embodiments is implemented.

[0117] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0118] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for monitoring the status of a power distribution equipment, characterized in that: include: Obtain pulse signals of each monitoring point corresponding to the power distribution equipment to be monitored; Identify the pulse feature corresponding to each pulse signal and the pulse feature value corresponding to the pulse feature, and determine whether there is a hidden danger pulse feature based on a preset feature value, wherein the hidden danger pulse feature corresponding to the hidden danger pulse feature has a value higher than the preset feature value; If yes, the monitoring point corresponding to the hidden danger pulse characteristic is determined as the concerned monitoring point, and the affected area is determined based on the monitoring position of the concerned monitoring point in the power distribution equipment to be monitored, the hidden danger pulse characteristic and the hidden danger pulse characteristic value; Obtaining a pulse rise rate of a pulse signal corresponding to a monitoring point of interest, and determining a delay duration based on the pulse rise rate; Determine the influencing temperature and vibration data from the temperature and vibration simulation model corresponding to the power distribution equipment to be monitored based on the influencing area and the delay time, and verify the hidden dangers of the concerned monitoring point based on the influencing temperature and vibration data, wherein the temperature and vibration simulation model is composed of the temperature and vibration data corresponding to the power distribution equipment to be monitored; When the hidden danger verification passes, the concerned monitoring point is determined to be a hidden danger monitoring point, and a maintenance feedback prompt is generated based on the monitoring position corresponding to the hidden danger monitoring point and the hidden danger pulse feature.

2. A method for monitoring the state of power distribution equipment according to claim 1, characterized in that: The determining of the affected area based on the monitoring position of the monitoring point of interest in the power distribution equipment to be monitored, the hidden danger pulse characteristic and the hidden danger pulse characteristic value includes: Determine a component of interest corresponding to the monitoring point of interest based on a monitoring position of the monitoring point of interest in the power distribution equipment to be monitored; Acquire the electrical connection path of interest and the signal processing configuration of interest corresponding to the component of interest, and determine the signal attenuation rate based on the electrical connection path of interest and the signal processing configuration of interest; An affected area is determined based on the component of interest, the signal attenuation rate, the hidden danger pulse feature, and the hidden danger pulse feature value.

3. A method for monitoring the state of power distribution equipment according to claim 2, characterized in that: The determining of the affected area based on the concerned component, the signal attenuation rate, the hidden danger pulse characteristic and the hidden danger pulse characteristic value comprises: Determine the pulse intensity of the hidden danger pulse signal at each signal point in the component of interest based on the signal attenuation rate and the hidden danger pulse characteristic; Determine a signal point of interest based on a preset intensity limit and the pulse intensity of each signal point, the pulse intensity corresponding to the signal point of interest being higher than the preset intensity limit; The affected area is determined based on each signal point of interest.

4. A method for monitoring the state of power distribution equipment according to claim 1, characterized in that: The construction process of the temperature-vibration simulation model includes: Acquire temperature and vibration data of the power distribution equipment to be monitored in real time, wherein the temperature and vibration data include vibration temperature and vibration frequency of the power distribution equipment to be monitored during operation; Based on the vibration temperature and the preset simulation model corresponding to the power distribution equipment to be monitored, a temperature change layer is formed; Based on the vibration frequency and the preset simulation model corresponding to the power distribution equipment to be monitored, a frequency change layer is formed; The temperature change layer and the frequency change layer are superimposed to obtain the temperature-vibration simulation model.

5. A method for monitoring the state of power distribution equipment according to claim 1, characterized in that: After the hidden danger monitoring points are determined, it also includes: Performing time series analysis on the hidden danger pulse signal corresponding to the hidden danger monitoring point to obtain time trend characteristics; Based on the time trend characteristics and the hidden danger pulse signal, determining the predicted partial discharge pulse signal corresponding to the hidden danger monitoring point; Determine from a historical partial discharge pulse signal entry library a similar partial discharge pulse signal corresponding to the predicted partial discharge pulse signal, and a historical alarm event corresponding to the similar partial discharge pulse signal; The historical alarm events and the maintenance feedback prompts are fed back together.

6. A method for monitoring the state of power distribution equipment according to claim 5, characterized in that: The determining, from a historical partial discharge pulse signal entry library, a similar partial discharge pulse signal corresponding to the predicted partial discharge pulse signal comprises: Based on the predicted partial discharge pulse signal and the preset signal matching value, determining an initial partial discharge pulse signal from the historical partial discharge pulse signal entry library; Compare each initial partial discharge pulse signal with the predicted partial discharge pulse signal to determine a difference pulse between each initial partial discharge pulse signal and the predicted partial discharge pulse signal and a difference duration corresponding to each difference pulse; Determine a signal similarity value of each initial partial discharge pulse signal based on the total number of difference pulses and the total difference duration corresponding to each initial partial discharge pulse signal; Based on the signal similarity value of each initial partial discharge pulse signal, a similar partial discharge pulse signal corresponding to the predicted partial discharge pulse signal is determined from all initial partial discharge pulse signals.

7. A monitoring system, characterized in that: The monitoring system includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a distribution equipment status monitoring method according to any one of claims 1-6.

8. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and executes a method for monitoring the state of a power distribution equipment as described in any one of claims 1 to 6.

9. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the steps of a method for monitoring the state of a power distribution equipment according to any one of claims 1 to 6.

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