Electric power safety protection method and system for switch cabinet control

Abstract

The invention provides an electric power safety protection method and system for switch cabinet control, and relates to the technical field of electric power safety, and the method comprises the steps: arranging a vibration sensor, and collecting Q joint point vibration monitoring data sequences and P mechanical control point vibration monitoring data sequences; arranging an infrared thermal imager to collect an infrared temperature distribution diagram sequence; traversing the vibration monitoring data sequences of the Q joint points and the P mechanical control points to perform vibration anomaly analysis to obtain a first abnormal joint point set and a first abnormal mechanical control point set; abnormal temperature point identification is carried out according to the infrared temperature distribution diagram sequence, and an abnormal temperature point position set is obtained; and integrating all the abnormal positions to obtain an abnormal position point and sending the abnormal position point to a worker for safety detection. The technical problem that in the prior art, operation monitoring is carried out on the switch cabinet only from a single dimension, an abnormal position is difficult to locate accurately, and consequently the safety detection accuracy of the switch cabinet is insufficient is solved, and the safety protection efficiency and accuracy of the switch cabinet are improved.

Description

Technical Field

[0001] The present application relates to the field of power safety technology, and in particular to a power safety protection method and system for switch cabinet control. Background Art

[0002] Various electrical components and mechanical equipment in the switch cabinet may have problems such as poor contact, overheating, abnormal vibration, etc. during long-term operation. These faults are often difficult to detect in time through traditional manual inspections. In serious cases, they may cause equipment damage, shutdown, or even electrical fire or system failure.

[0003] In traditional switchgear safety protection methods, a single monitoring dimension is usually used to detect the operating status of the equipment, such as only through temperature sensors, vibration sensors or current and voltage monitoring. Although these monitoring methods can detect abnormal conditions in the switchgear to a certain extent, these monitoring methods often ignore the various complex faults and problems that may exist in the equipment, making it difficult to fully understand the overall operating status of the switchgear. When complex faults occur, a single monitoring dimension often cannot provide sufficient information, resulting in the inability to promptly and accurately discover the root cause of the equipment failure, especially the inability to accurately identify and locate the specific abnormal location in the switchgear, which in turn affects the accuracy of the switchgear safety detection. Especially in the early stages of a fault, single-dimensional monitoring cannot effectively warn of potential problems, which poses a great challenge to switchgear maintenance and troubleshooting. Summary of the invention

[0004] The present application provides an electric power safety protection method and system for switch cabinet control, which solves the technical problem that the prior art only monitors the operation of the switch cabinet from a single dimension, making it difficult to accurately locate the abnormal position, resulting in insufficient accuracy of switch cabinet safety detection, and achieves the technical effect of improving the efficiency and accuracy of switch cabinet safety protection, thereby improving the safety and reliability of switch cabinet operation.

[0005] In view of the above problems, on the one hand, the present application provides a power safety protection method for switch cabinet control, the method comprising: obtaining design information of the target switch cabinet, extracting Q junction points and P mechanical control points based on the design information; arranging vibration sensors based on the positions of the Q junction points and the P mechanical control points, collecting monitoring data within a preset monitoring window, and obtaining Q junction point vibration monitoring data sequences and P mechanical control point vibration monitoring data sequences; extracting the switch cabinet size from the design information of the target switch cabinet, determining the layout position of the infrared thermal imager and focusing it, and using the infrared thermal imager after focusing to arrange the switch cabinet size in the preset monitoring window according to the preset monitoring window. The temperature of the target switch cabinet is collected at a measured frequency to obtain an infrared temperature distribution map sequence; the Q junction point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences are traversed to perform vibration anomaly analysis to obtain a first abnormal junction point set and a first abnormal mechanical control point set; abnormal temperature points are identified according to the degree of temperature change in the infrared temperature distribution map sequence to obtain an abnormal temperature point position set; the positions of the first abnormal junction point set and the first abnormal mechanical control point set, as well as the abnormal temperature point position set, are obtained by performing a position union to obtain an abnormal position point set; the abnormal position point set is sent to the staff for safety detection.

[0006] On the other hand, the present application also provides an electric power safety protection system for switch cabinet control, the system comprising: a design information acquisition module, used to acquire the design information of the target switch cabinet, and extract Q junctions and P mechanical control points based on the design information; a vibration monitoring module, used to deploy vibration sensors based on the positions of the Q junctions and the P mechanical control points, collect monitoring data within a preset monitoring window, and obtain Q junction vibration monitoring data sequences and P mechanical control point vibration monitoring data sequences; a temperature monitoring module, used to extract the switch cabinet size from the design information of the target switch cabinet, determine the deployment position of the infrared thermal imager and focus it, and use the infrared thermal imager with the focus adjusted to monitor the target in a preset monitoring window according to a preset monitoring frequency. The switch cabinet collects temperature and obtains an infrared temperature distribution map sequence; a vibration anomaly analysis module is used to traverse the Q junction point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform vibration anomaly analysis and obtain a first abnormal junction point set and a first abnormal mechanical control point set; a temperature anomaly identification module is used to identify abnormal temperature points according to the degree of temperature change in the infrared temperature distribution map sequence and obtain an abnormal temperature point position set; an abnormal integration module is used to obtain the position union of the positions of the first abnormal junction point set and the first abnormal mechanical control point set, as well as the abnormal temperature point position set, and obtain an abnormal position point set; a result output module is used to send the abnormal position point set to the staff for safety detection.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: By analyzing the design data of the target switch cabinet, the key positions that need to be monitored, namely, Q junctions and P mechanical control points, are identified. Based on the positions of the Q junctions and the P mechanical control points, vibration sensors are arranged, and monitoring data within a preset monitoring window is collected to obtain a vibration monitoring data sequence of Q junctions and a vibration monitoring data sequence of P mechanical control points. By monitoring the vibration anomalies of mechanical components, poor contact, looseness or mechanical failures in the switch cabinet can be discovered in time. The collection of vibration data helps to identify potential equipment failures at an early stage and prevent the spread of failures. The switch cabinet size in the design information of the target switch cabinet is extracted, the layout position of the infrared thermal imager is determined and the focus is adjusted, and the infrared thermal imager with the focus completed is used to collect the temperature of the target switch cabinet in the preset monitoring window according to the preset monitoring frequency to obtain a sequence of infrared temperature distribution maps. Through temperature monitoring, overheating problems of electrical components in the switch cabinet, such as electrical overload, local short circuit, etc., can be discovered in time, which helps to prevent safety hazards caused by overheating. Traverse the Q junction vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform vibration anomaly analysis, obtain the first abnormal junction set and the first abnormal mechanical control point set, accurately locate the specific location of the fault inside the switch cabinet from the vibration data dimension, and provide important clues for subsequent safety inspections and maintenance. According to the degree of temperature change in the infrared temperature distribution map sequence, the abnormal temperature point is identified, and the abnormal high temperature area caused by electrical faults or overloads is found, and the abnormal temperature point position set is obtained to further locate potential overheating problems. The positions of the first abnormal junction point set and the first abnormal mechanical control point set, as well as the abnormal temperature point position set, are obtained by position union, and the results of different monitoring dimensions are data fused to obtain an abnormal position point set, which further improves the accuracy of fault location and reduces the possibility of missed detection. The abnormal position point set is sent to the staff for safety testing to ensure that the fault can be handled in a timely manner, reducing the risk of equipment damage and downtime.

[0008] In summary, this application uses multi-dimensional data fusion, combined with vibration sensors and infrared thermal imagers, to monitor key locations in the switch cabinet in real time, thereby comprehensively improving the accuracy and reliability of fault detection. Vibration monitoring can promptly identify abnormalities in mechanical components, while temperature monitoring can effectively prevent electrical failures caused by overheating. Through the dual analysis of vibration data and temperature data, this solution can accurately locate abnormal locations, detect potential faults in advance, and accurately guide operation and maintenance personnel to handle them, significantly improving the safety protection level of the switch cabinet, improving the ability to detect faults early, reducing equipment downtime and maintenance costs, optimizing operation and maintenance efficiency, and enhancing the operational safety and reliability of the switch cabinet.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A flow chart of a power safety protection method for switch cabinet control provided in an embodiment of the present application.

[0011] Figure 2 A schematic diagram of a flow chart for obtaining a first abnormal junction point set and a first abnormal mechanical control point set in a power safety protection method for switch cabinet control provided in an embodiment of the present application.

[0012] Figure 3 A schematic diagram of the structure of an electric power safety protection system for switch cabinet control provided in an embodiment of the present application.

[0013] Explanation of the reference numerals: design information acquisition module 10 , vibration monitoring module 20 , temperature monitoring module 30 , vibration anomaly analysis module 40 , temperature anomaly identification module 50 , anomaly integration module 60 , result output module 70 . DETAILED DESCRIPTION

[0014] The embodiment of the present application provides an electric power safety protection method and system for switch cabinet control, which obtains the switch cabinet design information to determine the joint points and mechanical control points of the vibration sensor layout, and collects vibration monitoring data; determines the layout and focus of the infrared thermal imager according to the size of the switch cabinet, and collects temperature data. The vibration data and temperature data are analyzed for abnormalities respectively, the location of the abnormal points is found, and the total abnormal position point set is obtained by union and sent to the staff for detection, which solves the technical problem that the prior art only monitors the operation of the switch cabinet from a single dimension, and it is difficult to accurately locate the abnormal position, resulting in insufficient accuracy of the switch cabinet safety detection, and achieves the technical effect of improving the efficiency and accuracy of the switch cabinet safety protection, thereby improving the safety and reliability of the switch cabinet operation.

[0015] Embodiment 1, as Figure 1 As shown, an embodiment of the present application provides a power safety protection method for switch cabinet control, the method comprising: Step S1: Acquire design information of a target switch cabinet, and extract Q joint points and P mechanical control points based on the design information.

[0016] Specifically, the target switchgear can be any specific switchgear that needs to be monitored and protected for safety, usually including electrical components such as circuit breakers, disconnectors, and load switches. The design information of the switchgear includes detailed data such as the internal structure, installation location, and electrical connection method of the switchgear. The junction point refers to the point where different electrical components or parts in the switchgear are connected. For example, the connection point between the busbar and the circuit breaker, the connection point between the cable connector and the switchgear terminal, etc. The connection quality of these points directly affects the working state of the switchgear, and poor or loose contact may cause electrical failures. The mechanical control point refers to the control position of the mechanical components inside the switchgear, such as switches, buttons, locking devices, etc. The status of these parts will affect the stability and normal operation of the mechanical structure of the switchgear.

[0017] The design information of the target switch cabinet is queried from the technical documents or drawings of the switch cabinet, and the key positions that need to be monitored for safety are determined based on the analysis of the design information. For example, the connection positions between the electrical components are determined by looking up the electrical connection diagram, thereby determining the Q junctions; the control positions of the mechanical components inside the switch cabinet are found by looking up the mechanical structure assembly diagram of the switch cabinet, thereby determining the P mechanical control points. Due to the differences in the design information of different switch cabinets, Q and P are used here to refer to the number of identified junctions and mechanical control points, respectively, where Q and P are both positive integers.

[0018] Step S2: Deploy vibration sensors based on the positions of the Q joint points and the P mechanical control points, collect monitoring data within a preset monitoring window, and obtain vibration monitoring data sequences of the Q joint points and vibration monitoring data sequences of the P mechanical control points.

[0019] Specifically, vibration sensors are installed at the positions of the Q junctions and P mechanical control points determined in step S1. These vibration sensors are used to measure the vibration of components at the monitoring positions. For example, for junctions such as electrical contact points in a switch cabinet, vibration sensors monitor whether there is abnormal vibration caused by poor contact or aging. For mechanical control points that control switch cabinet door locks or operating levers, vibration sensors will detect the vibration of these components during operation to identify whether there is looseness or wear.

[0020] The preset monitoring window refers to the time area set as the effective monitoring range, that is, the time period for monitoring the joints and mechanical control points. After the switch cabinet monitoring begins, the vibration sensor collects data at a certain time interval within the preset monitoring window. Assuming that the preset monitoring window is one day and the time interval is 10 minutes, vibration data will be collected every 10 minutes during this day. For each joint point and mechanical control point, a series of vibration data that changes with time will be obtained, which constitute Q joint point vibration monitoring data sequences and P mechanical control point vibration monitoring data sequences respectively. These vibration monitoring data provide a key basis for subsequent abnormal analysis, which helps to discover potential problems such as loose joints and wear of mechanical control points in advance and perform timely maintenance.

[0021] Step S3: extract the switch cabinet size from the design information of the target switch cabinet, determine the layout position of the infrared thermal imager and focus it, use the infrared thermal imager with the focus completed to collect the temperature of the target switch cabinet in a preset monitoring window according to a preset monitoring frequency, and obtain a sequence of infrared temperature distribution maps.

[0022] Specifically, infrared thermal imagers can detect the temperature distribution of electrical components or parts inside the switch cabinet and identify potential safety hazards caused by overheating. Infrared thermal imagers receive infrared radiation emitted by objects, convert it into electrical signals, and then process it to generate visible infrared temperature distribution maps. Different colors or grayscales in the image represent different temperature areas.

[0023] Extract the dimensional data of the switch cabinet from the switch cabinet design information, including the length, width, height of the switch cabinet, and the size of each compartment and component inside. Determine the location of the infrared thermal imager based on the size and internal structure of the switch cabinet. Generally speaking, it is necessary to select a location that can cover key components in the switch cabinet (such as contacts, busbars and other parts that are prone to heat), and at the same time consider parameters such as the field of view and temperature measurement range of the thermal imager to ensure that the temperature of the target area can be accurately monitored. For example, if there are multiple contacts in the switch cabinet, the thermal imager needs to be installed in a position where these contacts can be observed at the same time, and it is necessary to ensure that there are no obstructions between the thermal imager and the contacts.

[0024] After installing the infrared thermal imager at the determined layout position, adjust the focal length, aperture and other parameters of the thermal imager according to the actual situation in the switch cabinet, and focus the infrared thermal imager so that the thermal imager can clearly capture the target area in the switch cabinet, ensuring that the generated thermal image is of good quality and the temperature measurement is accurate. After the focusing is completed, start the infrared thermal imager to collect temperature according to the preset monitoring frequency within the preset monitoring window. For example, within a 24-hour preset monitoring window, temperature data is collected every 30 minutes, and the thermal imager will take a picture of the switch cabinet at each time point to generate a corresponding infrared temperature distribution map. Among them, the preset monitoring window is consistent with the setting in step S2. The preset monitoring frequency refers to the time interval for collecting data within the preset monitoring window. For example, temperature data is collected every 30 minutes, and this 30 minutes is the preset monitoring frequency.

[0025] Arrange the infrared temperature distribution graphs collected each time in the order of collection time to obtain an infrared temperature distribution graph sequence. This sequence can reflect the dynamic changes in the surface temperature distribution of the switch cabinet in the preset monitoring window, which is helpful for analyzing the temperature change trend and potential overheating risk in the switch cabinet.

[0026] Step S4: traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform vibration anomaly analysis to obtain a first abnormal joint point set and a first abnormal mechanical control point set.

[0027] Specifically, for the Q junction vibration monitoring data sequences, first determine the characteristics of each junction vibration data under normal conditions, such as normal vibration amplitude range, vibration frequency range, etc. These normal state characteristics can be obtained by statistical analysis of historical data during normal operation of the switch cabinet, or can be determined based on relevant standards and empirical values. Starting from the first junction vibration monitoring data sequence, analyze each data point one by one. If it is found that the vibration amplitude corresponding to a data point exceeds the normal range, or the vibration frequency does not conform to the frequency range under normal conditions, it is determined that the junction has a vibration abnormality. Use the same method to traverse all junction vibration monitoring data sequences, record the junctions that are determined to have vibration abnormalities, and form the first abnormal junction set.

[0028] Repeat the above process for P mechanical control point vibration monitoring data sequences. First determine the characteristics of normal vibration of the mechanical control point, then traverse and analyze the data points one by one, and form the first abnormal mechanical control point set with abnormal vibration. For example, if P=3, after analysis, it is found that 2 of the mechanical control points have abnormal vibration, then these 2 mechanical control points constitute the first abnormal mechanical control point set.

[0029] The first abnormal joint point set and the first abnormal mechanical control point set provide accurate fault point location information, thereby helping staff to deal with potential vibration abnormality problems in a timely manner and improve the safety of switchgear operation.

[0030] Step S5: identifying abnormal temperature points according to the degree of temperature change in the infrared temperature distribution diagram sequence to obtain a set of abnormal temperature point positions.

[0031] Specifically, first, each image in the infrared temperature distribution map sequence is analyzed, and the temperature change trend of each area is analyzed by viewing the time change in the infrared temperature distribution map sequence. In the analysis process, the image segmentation technology can be used to distinguish different components or areas of the switch cabinet in the image, so as to more accurately analyze the temperature change of each area. For each segmented area or point, the degree of temperature change is calculated by comparing the temperature at the current moment with the temperature at the previous moment. For example, the temperature change rate of a point is calculated, that is, (current temperature - temperature at the previous moment) / temperature at the previous moment. According to the pre-set temperature change threshold, it is judged whether the temperature change of each point or area is abnormal. If the temperature change degree of a point exceeds the set threshold, it is marked as an abnormal temperature point. The temperature abnormal point indicates that the corresponding component has overheating or other faults, which may cause safety hazards, such as equipment damage, fire risk, etc. The location information of all abnormal temperature points is recorded to form an abnormal temperature point location set. This set can be a list, in which each element contains the coordinate position of the abnormal temperature point in the switch cabinet or the information of the component to which it belongs.

[0032] Through temperature anomaly identification, potential temperature anomaly problems in the switch cabinet can be discovered in a timely manner, providing abnormal location point information in the dimensional monitoring dimension, and further providing comprehensiveness of abnormal location.

[0033] Step S6: performing position union on the positions of the first abnormal junction point set and the first abnormal mechanical control point set, and the abnormal temperature point position set to obtain an abnormal position point set.

[0034] Specifically, determine the specific positions in the switch cabinet corresponding to the first abnormal junction point set and the first abnormal mechanical control point set. Extract all the position information in the first abnormal junction point set and the first abnormal mechanical control point set and put them into a temporary set. Next, check each position in the abnormal temperature point position set in turn. If the position is not in the temporary set, add it to the temporary set; if it is already in the temporary set, ignore the position (to avoid repeated addition). Through the position union operation, all abnormal point positions in the three sets are merged to obtain the final abnormal position point set, which can comprehensively and efficiently identify potential problems and provide a comprehensive fault detection result, covering all components or areas with potential risks, thereby avoiding missing any areas that may cause faults or safety hazards.

[0035] Step S7: Send the abnormal location point set to the staff for safety detection.

[0036] Specifically, the identified abnormal location point set is sent to the relevant staff, who are instructed to perform safety inspections on each abnormal location one by one according to the information in the abnormal location point set. When sending the abnormal location point set, the report containing the abnormal location point set information can be sent to the staff responsible for safety inspection through an internal communication system, such as the company's internal instant messaging software, mail system, etc.; the data can also be sent directly to a specific application on the staff's handheld mobile device (such as a tablet or smartphone) to visualize the data, making it convenient for the staff to view the abnormal location information.

[0037] This method of transmitting abnormal locations in real time can significantly improve the response speed and accuracy of equipment maintenance, efficiently convert monitoring results into specific actions, promptly troubleshoot equipment failures, avoid equipment damage, unstable operation or safety accidents, thereby enhancing the operating safety and stability of the switchgear.

[0038] Further, such as Figure 2 As shown, step S4 of the embodiment of the present application also includes: Step S41: traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform amplitude fluctuation analysis, and determine the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points.

[0039] Step S42: traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform amplitude concentration value analysis, and determine the amplitude concentration values ​​of the Q joint points and the amplitude concentration values ​​of the P mechanical control points.

[0040] Step S43: performing weighted calculations on the Q joint point amplitude fluctuation coefficients and the Q joint point amplitude concentration values, the P mechanical control point amplitude fluctuation coefficients and the P mechanical control point amplitude concentration values, respectively, to determine the Q joint point abnormality coefficients and the P mechanical control point abnormality coefficients.

[0041] Step S44: Determine whether the Q joint point abnormality coefficients and the P mechanical control point abnormality coefficients are respectively greater than or equal to the preset abnormality coefficients. If so, add them into the corresponding first abnormal joint point set and first abnormal mechanical control point set.

[0042] Specifically, an amplitude fluctuation analysis is performed on the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to analyze the fluctuation of the amplitude over time. This fluctuation reflects the instability of the vibration, which may be caused by, for example, loosening, wear or external interference of the equipment parts. The degree of this fluctuation is quantified by calculating the amplitude fluctuation coefficient. The larger the amplitude fluctuation coefficient, the more drastic the change of the vibration signal, and the more likely it is that there is an abnormality. Exemplarily, for each joint point vibration monitoring data sequence, the amplitude values ​​of the data points are read one by one in time sequence, and the amplitude fluctuation coefficient is calculated by statistical analysis. For example, the difference between the amplitudes of adjacent data points can be calculated, and then the root mean square of these differences can be obtained as the amplitude fluctuation coefficient; the variance of the data in each sequence can also be obtained as the amplitude fluctuation coefficient. The amplitude fluctuation analysis is performed on the Q joint point vibration monitoring data sequences one by one to determine the corresponding amplitude fluctuation coefficients of the Q joint points. Similarly, the amplitude fluctuation analysis is performed on the P mechanical control point vibration monitoring data sequences to determine the corresponding amplitude fluctuation coefficients of the P mechanical control points.

[0043] By analyzing the distribution of vibration data over a period of time, the amplitude concentration values ​​of Q joints and P mechanical control points are calculated to evaluate the concentration of vibration amplitude. The higher the concentration value, the more concentrated the vibration signal is in a fixed range, which usually means that the equipment is in a relatively stable working state; if the concentration value is low, it indicates that there may be an abnormality. Exemplarily, for each joint vibration monitoring data sequence, the amplitude values ​​of the data points are read in time sequence, and then the median or mode is selected as the amplitude concentration value according to the distribution characteristics of the data, or the mean of the data in each sequence is calculated as the amplitude concentration value to obtain the amplitude concentration values ​​of the Q joints corresponding to the vibration monitoring data sequences of the Q joints. The same amplitude concentration value analysis is performed on the vibration monitoring data sequences of the P mechanical control points to obtain the amplitude concentration values ​​of the P mechanical control points.

[0044] Through weighted calculation, combining the two aspects of amplitude fluctuation and concentration value, a comprehensive evaluation result, namely the abnormality coefficient, is obtained, which can more comprehensively reflect the abnormal situation of the equipment. A weight value is preset for the amplitude fluctuation coefficient and the amplitude concentration value, for example, the amplitude fluctuation coefficient and the amplitude concentration value account for 40% and 60% of the weight respectively, or the amplitude fluctuation coefficient and the amplitude concentration value account for 50% of the weight. Then, according to this weight value, the amplitude fluctuation coefficients of the Q joint points and the amplitude concentration values ​​of the Q joint points are weighted to obtain the abnormality coefficients of the Q joint points; the amplitude fluctuation coefficients of the P mechanical control points and the amplitude concentration values ​​of the P mechanical control points are weighted to obtain the abnormality coefficients of the P mechanical control points. The larger the calculated abnormality coefficient, the higher the abnormality risk of the monitoring point.

[0045] The preset abnormal coefficient is a preset threshold value, which is used as a standard for judging whether a joint point or a mechanical control point is abnormal. The Q joint point abnormal coefficients and the P mechanical control point abnormal coefficients are respectively compared with the preset abnormal coefficients. If a joint point abnormal coefficient or a mechanical control point abnormal coefficient is greater than or equal to the preset abnormal coefficient, the joint point or the mechanical control point is added to the corresponding first abnormal joint point set and the first abnormal mechanical control point set.

[0046] The above steps accurately evaluate the vibration characteristics of the joint point and the mechanical control point through amplitude fluctuation analysis and amplitude concentration value analysis, and comprehensively consider the volatility and concentration of the vibration through weighted calculation and threshold comparison to determine whether there is an abnormality at the monitoring point, thereby obtaining a more accurate vibration abnormality judgment result, reminding the staff to focus on and handle it, thereby improving the safety and stability of the switchgear.

[0047] Furthermore, step S41 further includes: Step S411: using an interpolation method to complete missing data value processing on the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences, to obtain Q completed joint point vibration monitoring data sequences and P completed mechanical control point vibration monitoring data sequences.

[0048] Step S412: traverse the Q completed joint point vibration monitoring data sequences and the P completed mechanical control point vibration monitoring data sequences to perform fluctuation variance calculations to obtain the Q joint point amplitude fluctuation coefficients and the P mechanical control point amplitude fluctuation coefficients.

[0049] Specifically, due to various reasons such as sensor failure and data transmission interruption, there may be some missing data points in the vibration monitoring data sequence. These missing values ​​are supplemented by interpolation to make the data sequence complete for subsequent analysis and calculation. For example, if there is missing data at a certain moment in a vibration monitoring data sequence of a junction, after the missing data value is completed, there is an estimated value at that moment, so that the entire data sequence can fully reflect the vibration of the junction. Interpolation methods such as linear interpolation or spline interpolation can be used. For each of the Q junction vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences, the missing values ​​are calculated according to the change trend of adjacent data points in the sequence, and Q completed junction vibration monitoring data sequences and P completed mechanical control point vibration monitoring data sequences are obtained to improve the integrity of the vibration monitoring data.

[0050] Variance is a statistic that measures the degree of dispersion of a set of data. Fluctuation variance reflects the fluctuation of vibration monitoring data relative to the average value, and is an important indicator for measuring the degree of data fluctuation. A vibration sequence with large fluctuations may mean potential faults or abnormalities. The fluctuation variance is calculated for the completed vibration monitoring data sequence of the joint points and mechanical control points to obtain the amplitude fluctuation coefficient of each joint point and mechanical control point. By calculating the fluctuation variance of the completed vibration monitoring data sequence as the amplitude fluctuation coefficient, the degree of data fluctuation can be relatively accurately reflected. The larger the fluctuation variance, the more drastic the data fluctuation, that is, the larger the amplitude fluctuation.

[0051] Furthermore, step S42 further includes: Step S421: extracting a first joint point vibration monitoring data sequence from the Q joint point vibration monitoring data sequences, extracting the first joint point vibration monitoring data sequence using amplitude as an index, and obtaining a first joint point amplitude set.

[0052] Step S422: traverse the first joining point amplitude set to perform mean calculation to obtain the first joining point amplitude mean.

[0053] Step S423: construct a two-dimensional concentrated analysis space based on the first junction point amplitude set, identify concentrated neighborhoods using a straight line passing through the first junction point amplitude mean and parallel to the horizontal axis of the two-dimensional concentrated analysis space as a starting straight line, and determine a first concentrated neighborhood.

[0054] Step S424: Calculate the average of the amplitudes of multiple first junction points in the first concentrated neighborhood to obtain a concentrated value of the first junction point amplitudes.

[0055] Step S425: performing amplitude concentration value analysis on the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to determine the amplitude concentration values ​​of the Q joint points and the amplitude concentration values ​​of the P mechanical control points.

[0056] Specifically, a joint point vibration monitoring data sequence is randomly extracted from the Q joint point vibration monitoring data sequences, recorded as the first joint point vibration monitoring data sequence, and the joint point corresponding to the sequence is recorded as the first joint point. Using the amplitude as the index, the specific amplitude values ​​(i.e., the first joint point amplitude) collected at all times are extracted from the first joint point vibration monitoring data sequence to form the first joint point amplitude set.

[0057] The mean of all data in the first joint point amplitude set is calculated to obtain the first joint point amplitude mean. The amplitude mean can reflect the overall vibration intensity level of the joint point. If the amplitude mean is high, it means that the vibration of the joint point is more severe.

[0058] Take the elements in the first junction point amplitude set (i.e., the first junction point amplitude) as the vertical axis value, and the order of the data points or the corresponding timestamps as the horizontal axis value to construct a two-dimensional concentrated analysis space. Take the straight line that passes through the first junction point amplitude mean and is parallel to the horizontal axis of the two-dimensional concentrated analysis space as the starting line. Then identify the concentrated neighborhood according to certain rules such as distance or number of data points. For example, the area formed by moving 0.2 amplitude units up and down with the straight line as the center can be set as the first concentrated neighborhood. Calculate the mean of all the first junction point amplitudes in the first concentrated neighborhood to obtain the first junction point amplitude concentration value.

[0059] The above-mentioned similar method is used to operate the remaining (Q-1) joint point vibration monitoring data sequences in turn to obtain (Q-1) joint point amplitude concentration values. Similarly, the amplitude concentration value analysis is also performed on the P mechanical control point vibration monitoring data sequences using a similar method to determine the P mechanical control point amplitude concentration values.

[0060] Furthermore, step S423 also includes: Step S423-1: constructing a starting neighborhood of the starting straight line in the two-dimensional concentrated analysis space according to a preset neighborhood bandwidth, wherein the horizontal axis of the two-dimensional concentrated analysis space is time, and the vertical axis is the amplitude of the first junction point.

[0061] Step S423-2: iterate the starting straight line upward and downward according to the preset neighborhood bandwidth to obtain an upward iterative straight line and a downward iterative straight line.

[0062] Step S423-3: Determine whether the amount of data in the upward iterative neighborhood constructed based on the upward iterative straight line is greater than or equal to the amount of data in the starting neighborhood. If so, continue to iterate the upward iterative straight line until the preset iteration stop condition is met to obtain the upward target neighborhood.

[0063] Step S423-4: Determine whether the amount of data in the downward iterative neighborhood constructed based on the downward iterative straight line is greater than or equal to the amount of data in the starting neighborhood. If so, continue to iterate the downward iterative straight line downward until the preset iteration stop condition is met to obtain the downward target neighborhood.

[0064] Step S423-5: The target neighborhood corresponding to the larger data volume in the upward target neighborhood and the downward target neighborhood is used as the first concentrated neighborhood.

[0065] Specifically, the preset neighborhood bandwidth is a pre-set value used to determine the width of the neighborhood in the two-dimensional concentrated analysis space. It is expressed in a certain amplitude range. From the above steps, it can be seen that the horizontal axis of the two-dimensional concentrated analysis space is time, the vertical axis is the amplitude of the first junction point, and the starting straight line is a straight line passing through the mean amplitude of the first junction point and parallel to the horizontal axis of the two-dimensional concentrated analysis space. The starting straight line is translated up and down by half of the preset neighborhood bandwidth, and the area between the two straight lines after translation constitutes the starting neighborhood. This area is the starting point for subsequent iterative operations. Exemplarily, the mean amplitude of the first junction point is 0.2, the preset neighborhood bandwidth is 0.1, and in the two-dimensional concentrated analysis space, the horizontal axis represents time and the vertical axis represents amplitude. Through these data points, the starting neighborhood is constructed as the range corresponding to the data points with amplitudes between 0.15 and 0.25.

[0066] According to the preset neighborhood bandwidth, the starting straight line is iterated upward, that is, the starting straight line is translated upward by the preset neighborhood bandwidth to obtain a corresponding upward iterative straight line, and the corresponding amplitude value of the upward iterative straight line is the sum of the amplitude mean of the first junction point and the preset neighborhood bandwidth. Similarly, the starting straight line is iterated downward to obtain a downward iterative straight line.

[0067] According to the same method of constructing the starting neighborhood, the upward iterative neighborhood and the downward iterative neighborhood are constructed according to the upward iterative straight line and the downward iterative straight line, respectively, wherein the width range of the upward iterative neighborhood and the downward iterative neighborhood are both preset neighborhood bandwidths. Exemplarily, the starting straight line is y=0.2, and the preset neighborhood bandwidth is 0.1. Through the upward and downward operations, the upward iterative straight line y=0.25 and the downward iterative straight line y=0.15 are obtained. Based on the upward iterative straight line and the downward iterative straight line, an upward iterative neighborhood with an amplitude range of 0.2 to 0.3 and a downward iterative neighborhood with an amplitude range of 0.2 to 0.1 can be obtained.

[0068] The data volume of the upward iterative neighborhood and the data volume of the starting neighborhood are counted separately, and then it is determined whether the data volume of the upward iterative neighborhood is greater than or equal to the data volume of the starting neighborhood. If so, it continues to iterate upward according to the upward iterative straight line and the preset neighborhood bandwidth, divides the new upward iterative neighborhood and compares the data volume until the preset iteration stop condition is reached, stops the iteration, and uses the upward iterative neighborhood at this time as the upward target neighborhood.

[0069] Similarly, during the downward iteration process, the amount of data in the downward iteration neighborhood is counted and compared with the amount of data in the starting neighborhood. If the amount of data in the downward iteration neighborhood is greater than or equal to the amount of data in the starting neighborhood, the downward iteration line and the preset neighborhood bandwidth are used to continue the downward iteration, divide the new downward iteration neighborhood and compare the data amount until the preset iteration stop condition is reached, stop the iteration, and use the downward iteration neighborhood at this time as the downward target neighborhood.

[0070] Compare the data volume of the upward target neighborhood and the downward target neighborhood, and take the target neighborhood with larger data volume as the first concentrated neighborhood. The data in the first concentrated neighborhood can reflect the concentrated characteristics of the vibration data in the vibration monitoring data sequence of the first joint point, provide more reference data support for vibration anomaly identification, and improve the accuracy of abnormal position identification.

[0071] Furthermore, the preset iteration stopping condition is that a preset number of iterations is satisfied and / or the amount of data in the iteration neighborhood obtained in the current iteration is less than the amount of data in the iteration neighborhood obtained in the previous iteration.

[0072] Specifically, steps S423-1 to S423-5 expand or shrink the range of the neighborhood by performing multiple iterations on the upward and downward iteration lines to determine the area where the vibration data is relatively concentrated. During the iteration process, a preset iteration stop condition is set to control the iteration process, avoid unnecessary calculations, and ensure the efficiency of the analysis. The preset iteration stop condition includes: satisfying the preset number of iterations; the amount of data in the iteration neighborhood obtained in the current iteration is less than the amount of data in the iteration neighborhood obtained in the previous iteration. As long as any one of the two preset iteration stop conditions is met, the iteration operation is stopped. Specifically: the preset number of iterations is a fixed number of iterations that is pre-set. During the upward or downward iteration process, an iteration counter is used to record the number of iterations. When the cumulative number of iterations reaches the preset number of iterations, the iteration operation is stopped. During the iteration process, if the amount of data in the iteration neighborhood obtained in the current iteration is less than the amount of data in the iteration neighborhood obtained in the previous iteration, it indicates that the neighborhood has reached a stable range and no longer increases significantly, and the iteration is stopped at this time.

[0073] Furthermore, the method further comprises: Step S81: Obtain a preset protection feedback window.

[0074] Step S82: After the staff performs the safety check, a safety check is performed on the abnormal location point in the preset protection feedback window to obtain a feedback test result.

[0075] Specifically, the preset protection feedback window is a pre-set feedback monitoring time period, which is used to conduct safety inspections on abnormal locations again after the staff completes the initial safety inspection and obtain feedback inspection results. For example, this window can be within 24 hours after the initial inspection, so as to further verify whether the staff's safety inspection is sufficient and whether the abnormal problem can be effectively solved. The protection feedback window can be set and managed through the internal maintenance management platform or monitoring system of the enterprise, and the feedback inspection results of the staff can be recorded.

[0076] After the staff completes the safety inspection, the feedback detection window is automatically started. When the start time of the preset protection feedback window is reached, the safety inspection of the abnormal position points begins again. The detection steps are similar to the aforementioned steps S2 to S6. For the position points where there were vibration abnormalities before, the vibration sensor is used again to detect whether the vibration amplitude, frequency and other parameters have improved. For the abnormal position points where there were temperature abnormalities before, the thermal imager is used again to detect whether the temperature has returned to normal or whether the change trend is under control. After completing the re-inspection of all abnormal position points, these test results are summarized to form a feedback test result. This result may include the current status of each abnormal position point (such as normal temperature, reduced vibration, etc.), the comparison with the previous test results, and whether there are still potential safety hazards.

[0077] By setting the feedback window and obtaining the feedback test results, the repair results of the abnormal location points can be further tracked and verified to ensure that all abnormal problems are completely solved. If the staff's repair measures are not sufficient, the feedback test results will provide timely feedback and guide the staff to further check and deal with it. Through this feedback mechanism, the effectiveness of the entire safety detection process can be improved, thereby improving the safety and stability of the switchgear operation.

[0078] In summary, the power safety protection method for switch cabinet control provided in the embodiment of the present application has the following technical effects: The embodiment of the present application combines the design information of the switch cabinet, uses a vibration sensor and an infrared thermal imager to monitor the switch cabinet from two dimensions of vibration and temperature, collects vibration and temperature data respectively, obtains abnormal position sets under each dimension through in-depth analysis, and then integrates these sets to obtain a comprehensive abnormal position point set and sends it to the staff, thereby achieving accurate positioning of the abnormal position of the switch cabinet, reducing the possibility of missed detection, and improving the accuracy and reliability of fault positioning. By generating an abnormal position point set and sending it to the staff, the method can detect potential faults in advance and accurately guide the operation and maintenance personnel to handle them, effectively reducing the time and workload of the staff to troubleshoot faults, significantly improving the safety protection level of the switch cabinet, optimizing the operation and maintenance efficiency, and enhancing the operational safety and reliability of the switch cabinet.

[0079] Embodiment 2, as Figure 3 As shown, an embodiment of the present application provides a power safety protection system for switch cabinet control, the system comprising: The design information acquisition module 10 is used to acquire the design information of the target switch cabinet, and extract Q joint points and P mechanical control points based on the design information.

[0080] The vibration monitoring module 20 is used to deploy vibration sensors based on the positions of the Q joint points and the P mechanical control points, collect monitoring data within a preset monitoring window, and obtain vibration monitoring data sequences of the Q joint points and the P mechanical control points.

[0081] The temperature monitoring module 30 is used to extract the switch cabinet size from the design information of the target switch cabinet, determine the layout position of the infrared thermal imager and focus it, and use the infrared thermal imager with focus to collect the temperature of the target switch cabinet in a preset monitoring window according to a preset monitoring frequency to obtain a sequence of infrared temperature distribution diagrams.

[0082] The vibration anomaly analysis module 40 is used to traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform vibration anomaly analysis and obtain a first abnormal joint point set and a first abnormal mechanical control point set.

[0083] The temperature anomaly identification module 50 is used to identify abnormal temperature points according to the degree of temperature change in the infrared temperature distribution diagram sequence to obtain a set of abnormal temperature point positions.

[0084] The abnormal integration module 60 is used to obtain a position union of the positions of the first abnormal junction point set and the first abnormal mechanical control point set, and the abnormal temperature point position set to obtain an abnormal position point set.

[0085] The result output module 70 is used to send the abnormal location point set to the staff for safety detection.

[0086] Furthermore, the vibration anomaly analysis module 40 of the embodiment of the present application is also used to perform the following steps: Traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform amplitude fluctuation analysis, and determine the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points; traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform amplitude concentration value analysis, and determine the amplitude concentration values ​​of the Q joint points and the amplitude concentration values ​​of the P mechanical control points; perform weighted calculations on the Q joint point amplitude fluctuation coefficients and the Q joint point amplitude concentration values, the P mechanical control point amplitude fluctuation coefficients and the P mechanical control point amplitude concentration values, respectively, to determine the Q joint point abnormality coefficients and the P mechanical control point abnormality coefficients; determine whether the Q joint point abnormality coefficients and the P mechanical control point abnormality coefficients are respectively greater than or equal to the preset abnormality coefficients, and if so, add them into the corresponding first abnormal joint point set and first abnormal mechanical control point set.

[0087] Furthermore, the vibration anomaly analysis module 40 of the embodiment of the present application is also used to perform the following steps: The Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences are supplemented with missing data by using the interpolation method to obtain Q supplemented joint point vibration monitoring data sequences and P supplemented mechanical control point vibration monitoring data sequences; the Q supplemented joint point vibration monitoring data sequences and the P supplemented mechanical control point vibration monitoring data sequences are traversed to perform fluctuation variance calculation to obtain the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points.

[0088] Furthermore, the vibration anomaly analysis module 40 of the embodiment of the present application is also used to perform the following steps: A first joint point vibration monitoring data sequence is extracted from the Q joint point vibration monitoring data sequences, and the first joint point vibration monitoring data sequence is extracted using amplitude as an index to obtain a first joint point amplitude set; the first joint point amplitude set is traversed to perform mean calculation to obtain a first joint point amplitude mean; a two-dimensional concentrated analysis space is constructed based on the first joint point amplitude set, and a concentrated neighborhood is identified using a straight line passing through the first joint point amplitude mean and parallel to the abscissa axis of the two-dimensional concentrated analysis space as a starting straight line to determine a first concentrated neighborhood; the mean of multiple first joint point amplitudes in the first concentrated neighborhood is calculated to obtain a first joint point amplitude concentrated value; an amplitude concentrated value analysis is performed on the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to determine the Q joint point amplitude concentrated values ​​and the P mechanical control point amplitude concentrated values.

[0089] Furthermore, the vibration anomaly analysis module 40 of the embodiment of the present application is also used to perform the following steps: In the two-dimensional concentrated analysis space, a starting neighborhood of the starting straight line is constructed according to a preset neighborhood bandwidth, wherein the horizontal axis of the two-dimensional concentrated analysis space is time, and the vertical axis is the amplitude of the first junction point; the starting straight line is iterated upward and downward according to the preset neighborhood bandwidth to obtain an upward iterative straight line and a downward iterative straight line; it is determined whether the amount of data in the upward iterative neighborhood constructed based on the upward iterative straight line is greater than or equal to the amount of data in the starting neighborhood; if so, the upward iterative straight line is continuously iterated until a preset iteration stop condition is satisfied to obtain an upward target neighborhood; it is determined whether the amount of data in the downward iterative neighborhood constructed based on the downward iterative straight line is greater than or equal to the amount of data in the starting neighborhood; if so, the downward iterative straight line is continuously iterated downward until a preset iteration stop condition is satisfied to obtain a downward target neighborhood; and the target neighborhood corresponding to the larger amount of data in the upward target neighborhood and the downward target neighborhood is used as the first concentrated neighborhood.

[0090] Furthermore, the preset iteration stopping condition is that a preset number of iterations is satisfied and / or the amount of data in the iteration neighborhood obtained in the current iteration is less than the amount of data in the iteration neighborhood obtained in the previous iteration.

[0091] Furthermore, the system described in the embodiment of the present application is also used to perform the following steps: Obtain a preset protection feedback window; after the staff performs a safety check, perform a safety check on the abnormal location point in the preset protection feedback window to obtain a feedback test result.

[0092] Through the above-mentioned detailed description of the power safety protection method for switch cabinet control in this specification, those skilled in the art can clearly understand the power safety protection system for switch cabinet control in this embodiment. For the system disclosed in Example 2, since it corresponds to the method disclosed in Example 1 and has corresponding functional modules and beneficial effects, the relevant parts can be referred to the description of the method part.

[0093] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A power safety protection method for switch cabinet control, characterized in that: The method comprises: Acquire design information of a target switchgear, and extract Q joint points and P mechanical control points based on the design information; Arrange vibration sensors based on the positions of the Q joint points and the P mechanical control points, collect monitoring data within a preset monitoring window, and obtain vibration monitoring data sequences of the Q joint points and vibration monitoring data sequences of the P mechanical control points; Extracting the switch cabinet size from the design information of the target switch cabinet, determining the layout position of the infrared thermal imager and focusing it, using the infrared thermal imager with the focus completed to collect the temperature of the target switch cabinet in a preset monitoring window according to a preset monitoring frequency, and obtaining a sequence of infrared temperature distribution diagrams; Traversing the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform vibration anomaly analysis, and obtaining a first abnormal joint point set and a first abnormal mechanical control point set; Identify abnormal temperature points according to the degree of temperature change in the infrared temperature distribution map sequence to obtain a set of abnormal temperature point positions; Performing position union on the positions of the first abnormal junction point set and the first abnormal mechanical control point set, and the abnormal temperature point position set to obtain an abnormal position point set; The abnormal location point set is sent to the staff for safety detection.

2. The power safety protection method for switch cabinet control according to claim 1, characterized in that: Traversing the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform vibration anomaly analysis, and obtaining a first abnormal joint point set and a first abnormal mechanical control point set, including: Traversing the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform amplitude fluctuation analysis, and determining the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points; Traversing the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform amplitude concentration value analysis, and determining the amplitude concentration values ​​of the Q joint points and the amplitude concentration values ​​of the P mechanical control points; Performing weighted calculations on the Q joint point amplitude fluctuation coefficients and the Q joint point amplitude concentration values, the P mechanical control point amplitude fluctuation coefficients and the P mechanical control point amplitude concentration values, respectively, to determine the Q joint point abnormality coefficients and the P mechanical control point abnormality coefficients; Determine whether the Q joint point abnormality coefficients and the P mechanical control point abnormality coefficients are respectively greater than or equal to the preset abnormality coefficients. If so, add them into the corresponding first abnormal joint point set and first abnormal mechanical control point set.

3. The power safety protection method for switch cabinet control according to claim 2, characterized in that: Traversing the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform amplitude fluctuation analysis, and determining the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points, including: Using an interpolation method to complete missing data value processing on the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences, to obtain Q completed joint point vibration monitoring data sequences and P completed mechanical control point vibration monitoring data sequences; The Q completed joint point vibration monitoring data sequences and the P completed mechanical control point vibration monitoring data sequences are traversed to perform fluctuation variance calculation to obtain the Q joint point amplitude fluctuation coefficients and the P mechanical control point amplitude fluctuation coefficients.

4. The power safety protection method for switch cabinet control according to claim 2, characterized in that: include: Extracting a first joint point vibration monitoring data sequence from the Q joint point vibration monitoring data sequences, extracting the first joint point vibration monitoring data sequence using amplitude as an index, and obtaining a first joint point amplitude set; Traversing the first joining point amplitude set to perform mean calculation to obtain the first joining point amplitude mean; Based on the first joint point amplitude set, a two-dimensional concentrated analysis space is constructed, and a straight line passing through the first joint point amplitude mean and parallel to the abscissa axis of the two-dimensional concentrated analysis space is used as a starting straight line to identify a concentrated neighborhood, and a first concentrated neighborhood is determined; Calculate the mean of the amplitudes of a plurality of first junction points in the neighborhood of the first concentration to obtain a concentrated value of the amplitudes of the first junction points; Amplitude concentration value analysis is performed on the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to determine the amplitude concentration values ​​of the Q joint points and the amplitude concentration values ​​of the P mechanical control points.

5. The power safety protection method for switch cabinet control according to claim 4, characterized in that: Constructing a two-dimensional concentrated analysis space based on the first joint point amplitude set, identifying a concentrated neighborhood using a straight line passing through the first joint point amplitude mean and parallel to the abscissa axis of the two-dimensional concentrated analysis space as a starting straight line, and determining a first concentrated neighborhood, including: Constructing a starting neighborhood of the starting straight line in the two-dimensional concentrated analysis space according to a preset neighborhood bandwidth, wherein the abscissa axis of the two-dimensional concentrated analysis space is time, and the ordinate axis is the amplitude of the first junction point; Iterate the starting straight line upward and downward according to the preset neighborhood bandwidth to obtain an upward iterative straight line and a downward iterative straight line; Determine whether the amount of data in the upward iterative neighborhood constructed based on the upward iterative straight line is greater than or equal to the amount of data in the starting neighborhood. If so, continue to iterate the upward iterative straight line until a preset iteration stop condition is met to obtain an upward target neighborhood; Determine whether the amount of data in the downward iterative neighborhood constructed based on the downward iterative straight line is greater than or equal to the amount of data in the starting neighborhood. If so, continue to iterate the downward iterative straight line downward until a preset iteration stop condition is met to obtain a downward target neighborhood; The target neighborhood corresponding to the larger data volume in the upward target neighborhood and the downward target neighborhood is used as the first concentrated neighborhood.

6. The power safety protection method for switch cabinet control according to claim 5, characterized in that: The preset iteration stop condition is that a preset number of iterations is met and / or the amount of data in the iteration neighborhood obtained in the current iteration is less than the amount of data in the iteration neighborhood obtained in the previous iteration.

7. The power safety protection method for switch cabinet control according to claim 1, characterized in that: include: Get the preset protection feedback window; After the staff performs the safety inspection, a safety inspection is performed on the abnormal location point in the preset protection feedback window to obtain feedback inspection results.

8. An electric power safety protection system for switch cabinet control, characterized in that: The system is used to execute the power safety protection method for switch cabinet control according to any one of claims 1 to 7, comprising: A design information acquisition module, used to acquire design information of a target switch cabinet, and extract Q joint points and P mechanical control points based on the design information; A vibration monitoring module, configured to arrange vibration sensors based on the positions of the Q joint points and the P mechanical control points, collect monitoring data within a preset monitoring window, and obtain vibration monitoring data sequences of the Q joint points and vibration monitoring data sequences of the P mechanical control points; A temperature monitoring module is used to extract the switch cabinet size from the design information of the target switch cabinet, determine the layout position of the infrared thermal imager and focus it, and use the infrared thermal imager with the focus completed to collect the temperature of the target switch cabinet in a preset monitoring window according to a preset monitoring frequency to obtain a sequence of infrared temperature distribution diagrams; A vibration anomaly analysis module, used for traversing the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform vibration anomaly analysis, and obtain a first abnormal joint point set and a first abnormal mechanical control point set; A temperature anomaly identification module, used to identify abnormal temperature points according to the degree of temperature change in the infrared temperature distribution diagram sequence, and obtain a set of abnormal temperature point positions; an abnormal integration module, used for obtaining a position union of the positions of the first abnormal junction point set and the first abnormal mechanical control point set, and the abnormal temperature point position set, to obtain an abnormal position point set; The result output module is used to send the abnormal location point set to the staff for safety detection.

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