Power safety protection method and system for switchgear control

Abstract

The present application provides a power safety protection method and system for switchgear control, which relates to the field of power safety technologies and includes: arranging vibration sensors to collect Q vibration monitoring data sequences of joint points and P vibration monitoring data sequences of mechanical control points; arranging infrared thermal imagers to collect infrared temperature distribution map sequences; traversing the vibration monitoring data sequences of Q joint points and P mechanical control points for vibration anomaly analysis to obtain a first set of abnormal joint points and a first set of abnormal mechanical control points; identifying abnormal temperature points according to the infrared temperature distribution map sequences to obtain a set of abnormal temperature point positions; comprehensively considering all the foregoing abnormal positions to obtain abnormal position points and sending them to the staff for safety detection. The present application solves the technical problem in the prior art that the operation monitoring of switchgear is carried out only from a single dimension, making it difficult to accurately locate abnormal positions, resulting in insufficient accuracy of switchgear safety detection, and improves the efficiency and accuracy of switchgear safety protection.

Description

Technical Field

[0001] This application relates to the technical field of electrical safety, and particularly to an electrical safety protection method and system for switchgear control. Background Art

[0002] All kinds of electrical components and mechanical equipment in the switchgear may have problems such as poor contact, overheating, and abnormal vibration during long-term operation. These faults are often difficult to be detected in time by traditional manual inspections, and may seriously lead to equipment damage, shutdown, and even electrical fires or system failures.

[0003] In traditional switchgear safety protection methods, a single monitoring dimension is usually used to detect the operating state of equipment, such as only through means like temperature sensors, vibration sensors, or current and voltage monitoring. Although these monitoring methods can, to a certain extent, detect abnormalities in the switchgear, they often ignore various complex faults and problems that the equipment may have, and it is difficult to comprehensively understand the overall operating state of the switchgear. When complex faults occur, a single monitoring dimension often cannot provide sufficient information, resulting in the inability to timely and accurately discover the root cause of equipment faults, especially unable to accurately identify and locate the specific abnormal positions in the switchgear, thus affecting the accuracy of switchgear safety detection. Especially in the initial stage of a fault, single-dimensional monitoring cannot effectively warn of potential problems, bringing great challenges to switchgear maintenance and fault troubleshooting. Summary of the Invention

[0004] This application provides an electrical safety protection method and system for switchgear control, which solves the technical problem that the prior art only monitors the operation of the switchgear from a single dimension and is difficult to accurately locate abnormal positions, resulting in insufficient accuracy of switchgear safety detection, and achieves the technical effect of improving the efficiency and accuracy of switchgear safety protection, thereby improving the operating safety and reliability of the switchgear.

[0005] In view of the above problems, on the one hand, the present application provides a power safety protection method for switchgear control. The method includes: obtaining the design information of the target switchgear, and extracting Q joint points and P mechanical control points based on the design information; arranging vibration sensors based on the positions of the Q joint points and the P mechanical control points, collecting monitoring data within a preset monitoring window, and obtaining a vibration monitoring data sequence of Q joint points and a vibration monitoring data sequence of P mechanical control points; extracting the switchgear size in the design information of the target switchgear, determining the installation position of the infrared thermal imager and focusing it, and using the focused infrared thermal imager to collect the temperature of the target switchgear at a preset monitoring frequency within the preset monitoring window to obtain a sequence of infrared temperature distribution maps; traversing the vibration monitoring data sequence of Q joint points and the vibration monitoring data sequence of P mechanical control points for vibration anomaly analysis to obtain a first set of abnormal joint points and a first set of abnormal mechanical control points; identifying abnormal temperature points according to the degree of temperature change in the sequence of infrared temperature distribution maps to obtain a set of abnormal temperature point positions; taking the union of the positions of the first set of abnormal joint points, the first set of abnormal mechanical control points, and the set of abnormal temperature point positions to obtain a set of abnormal position points; and sending the set of abnormal position points to the staff for safety detection.

[0006] On the other hand, the present application also provides a power safety protection system for switchgear control. The system includes: a design information acquisition module for obtaining the design information of the target switchgear and extracting Q joint points and P mechanical control points based on the design information; a vibration monitoring module for arranging vibration sensors based on the positions of the Q joint points and the P mechanical control points, collecting monitoring data within a preset monitoring window, and obtaining a vibration monitoring data sequence of Q joint points and a vibration monitoring data sequence of P mechanical control points; a temperature monitoring module for extracting the switchgear size in the design information of the target switchgear, determining the installation position of the infrared thermal imager and focusing it, and using the focused infrared thermal imager to collect the temperature of the target switchgear at a preset monitoring frequency within the preset monitoring window to obtain a sequence of infrared temperature distribution maps; a vibration anomaly analysis module for traversing the vibration monitoring data sequence of Q joint points and the vibration monitoring data sequence of P mechanical control points for vibration anomaly analysis to obtain a first set of abnormal joint points and a first set of abnormal mechanical control points; a temperature anomaly identification module for identifying abnormal temperature points according to the degree of temperature change in the sequence of infrared temperature distribution maps to obtain a set of abnormal temperature point positions; an anomaly integration module for taking the union of the positions of the first set of abnormal joint points, the first set of abnormal mechanical control points, and the set of abnormal temperature point positions to obtain a set of abnormal position points; and a result output module for sending the set of abnormal position points 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:

[0008] By analyzing the design data of the target switchgear, the key positions to be monitored are identified, namely Q joints and P mechanical control points. Based on the positions of the Q joints and the P mechanical control points, vibration sensors are arranged to collect monitoring data within a preset monitoring window, obtaining a vibration monitoring data sequence for the Q joints and a vibration monitoring data sequence for the P mechanical control points. By monitoring the vibration anomalies of mechanical components, poor contact, looseness or mechanical failures inside the switchgear can be detected in a timely manner. The acquisition of vibration data helps to identify potential equipment failures at an early stage and prevent the spread of failures. The switchgear size in the design information of the target switchgear is extracted, the arrangement position of the infrared thermal imager is determined and focused, and the infrared thermal imager after focusing is used to collect the temperature of the target switchgear at a preset monitoring frequency within a preset monitoring window, obtaining a sequence of infrared temperature distribution maps. Through temperature monitoring, overheating problems of electrical components inside the switchgear, such as electrical overload and local short circuit, can be detected in a timely manner, which helps to prevent safety hazards caused by overheating. The Q-joint vibration monitoring data sequence and the P-mechanical control point vibration monitoring data sequence are traversed for vibration anomaly analysis, obtaining a first set of abnormal joints and a first set of abnormal mechanical control points, accurately positioning the specific positions where faults exist inside the switchgear from the vibration data dimension, and providing important clues for subsequent safety inspections and maintenance. According to the degree of temperature change in the infrared temperature distribution map sequence, abnormal temperature points are identified, and abnormal high-temperature areas caused by electrical faults or overloads are found, obtaining a set of abnormal temperature point positions, further positioning potential overheating problems. The union of the positions of the first set of abnormal joints, the first set of abnormal mechanical control points, and the set of abnormal temperature point positions is obtained, and the results of different monitoring dimensions are data-fused, obtaining a set of abnormal position points, further improving the accuracy of fault location and reducing the possibility of missed detection. The set of abnormal position points is sent to the staff for safety detection to ensure that faults can be processed in a timely manner, reducing the risks of equipment damage and downtime.

[0009] In summary, through multi-dimensional data fusion, this application combines vibration sensors and infrared thermal imagers to monitor the key positions inside the switchgear in real time, comprehensively improving the accuracy and reliability of fault detection. Vibration monitoring can identify anomalies of mechanical components in a timely manner, while temperature monitoring effectively prevents electrical faults caused by overheating. Through the dual analysis of vibration data and temperature data, this solution can accurately locate abnormal positions, discover potential faults in advance and accurately guide maintenance personnel to handle them, significantly improving the safety protection level of the switchgear, enhancing the early detection ability of faults, reducing equipment downtime and maintenance costs, optimizing the maintenance efficiency and enhancing the operation safety and reliability of the switchgear.

[0010] The above description is only an overview of the technical solution of this application. In order to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the specific embodiments of this application are specifically given below. Description of the Drawings

[0011] Figure 1 It is a schematic flowchart of the power safety protection method for switchgear control provided by an embodiment of this application.

[0012] Figure 2 It is a schematic flowchart of the process of obtaining the first set of abnormal joints and the first set of abnormal mechanical control points in the power safety protection method for switchgear control provided by an embodiment of this application.

[0013] Figure 3 It is a schematic structural diagram of the power safety protection system for switchgear control provided by an embodiment of this application.

[0014] Description of the reference numerals: The design information acquisition module 10, the vibration monitoring module 20, the temperature monitoring module 30, the vibration abnormality analysis module 40, the temperature abnormality identification module 50, the abnormality integration module 60, and the result output module 70. Specific Embodiments

[0015] An embodiment of this application provides a power safety protection method and system for switchgear control. By obtaining the design information of the switchgear, the joints and mechanical control points for arranging vibration sensors are determined, and vibration monitoring data is collected; according to the size of the switchgear, the layout and focusing of the infrared thermal imager are determined, and temperature data is collected. The vibration data and temperature data are respectively subjected to abnormality analysis to find the positions of the abnormal points, and the union is obtained to send the total set of abnormal position points to the staff for detection, solving the technical problem that the prior art only monitors the operation of the switchgear from a single dimension and it is difficult to accurately locate the abnormal position, resulting in insufficient accuracy of the switchgear safety detection, and achieving the technical effects of improving the efficiency and accuracy of the switchgear safety protection, thereby improving the operation safety and reliability of the switchgear.

[0016] Embodiment 1, as Figure 1 shown, an embodiment of this application provides a power safety protection method for switchgear control, and the method includes:

[0017] Step S1: Obtain the design information of the target switchgear, and extract Q joints and P mechanical control points based on the design information.

[0018] Specifically, the target switchgear can be any specific switchgear that requires safety monitoring and protection, and generally includes 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 joint 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 joint and the switchgear terminal. The connection quality of these points directly affects the working state of the switchgear, and poor contact or looseness may lead to electrical faults. The mechanical control point refers to the control position of the mechanical components inside the switchgear, such as switches, buttons, locking devices, etc. The state of these parts will affect the stability and normal operation of the mechanical structure of the switchgear.

[0019] Query the design information of the target switchgear from the technical documents or drawings of the switchgear, and analyze according to these design information to determine the key positions that need to be safety monitored. Exemplarily, by looking up the electrical connection diagram to determine the connection positions between electrical components, so as to determine Q joint points; by viewing the mechanical structure assembly diagram of the switchgear to find the control positions of the mechanical components inside the switchgear, so as to determine P mechanical control points. Since the design information of different switchgears is different, here Q and P are used to represent the numbers of the identified joint points and mechanical control points respectively, where both Q and P are positive integers.

[0020] Step S2: Based on the positions of the Q joint points and the P mechanical control points, arrange vibration sensors to collect monitoring data within a preset monitoring window, and obtain a vibration monitoring data sequence of Q joint points and a vibration monitoring data sequence of P mechanical control points.

[0021] Specifically, according to the positions of the Q joint points and the P mechanical control points determined in step S1, install vibration sensors at these positions. These vibration sensors are used to measure the vibration of the components at the monitoring positions. For example, for joint points such as electrical contact points in the switchgear, the vibration sensors will monitor whether there is abnormal vibration caused by poor contact or aging. For the mechanical control points that control the switchgear door lock or operating rod, the vibration sensors will detect the vibration of these components during operation to identify whether there is looseness or wear.

[0022] The preset monitoring window refers to the time region set as the effective monitoring range, that is, the time period for monitoring the joint and mechanical control points. After starting the monitoring of the switchgear, the vibration sensor collects data at certain time intervals within the preset monitoring window. Suppose the preset monitoring window is one day and the time interval is 10 minutes, then vibration data will be collected every 10 minutes within this day. For each joint and mechanical control point, a series of vibration data varying with time will be obtained, and these data respectively constitute Q vibration monitoring data sequences of joints and P vibration monitoring data sequences of mechanical control points. These vibration monitoring data provide a key basis for subsequent anomaly analysis, helping to detect potential problems such as joint loosening and mechanical control point wear in advance and perform timely maintenance.

[0023] Step S3: Extract the switchgear dimensions from the design information of the target switchgear, determine the layout position of the infrared thermal imager and focus it, and use the focused infrared thermal imager to collect the temperature of the target switchgear at a preset monitoring frequency within the preset monitoring window to obtain a sequence of infrared temperature distribution maps.

[0024] Specifically, the infrared thermal imager can detect the temperature distribution of electrical components or parts inside the switchgear and identify potential safety hazards caused by overheating. The infrared thermal imager receives the infrared radiation emitted by the object, converts it into an electrical signal, and then generates a visible infrared temperature distribution map through processing. Different colors or grayscales in the image represent different temperature regions.

[0025] Extract the dimension data of the switchgear from the switchgear design information, including the length, width, height of the switchgear and the dimensions of each internal compartment and component, etc. Determine the layout position of the infrared thermal imager according to the switchgear dimensions and internal structure. Generally, it is necessary to select positions that can cover key components inside the switchgear (such as contacts, busbars, etc. which are prone to heat generation), and at the same time, consider parameters such as the field of view angle 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 inside the switchgear, the thermal imager needs to be installed at a position where these contacts can be observed simultaneously, and it is necessary to ensure that there are no obstacles between the thermal imager and the contacts.

[0026] After installing the infrared thermal imager at the determined installation position, adjust the parameters of the thermal imager such as the focal length and aperture according to the actual situation inside the switchgear, and perform a focusing operation on the infrared thermal imager so that the thermal imager can clearly capture the target area inside the switchgear, ensuring good quality of the generated thermal images and accurate temperature measurement. After the focusing is completed, start the infrared thermal imager to collect temperature data at the preset monitoring frequency within the preset monitoring window. For example, within a 24-hour preset monitoring window, collect temperature data every 30 minutes. The thermal imager will take pictures of the switchgear at each time point to generate the corresponding infrared temperature distribution map. Among them, the preset monitoring window is the same as that set in step S2. The preset monitoring frequency refers to the time interval for collecting data within the preset monitoring window. For example, collecting temperature data every 30 minutes, this 30 minutes is the preset monitoring frequency.

[0027] Arrange the infrared temperature distribution maps collected each time in the order of collection time to obtain a sequence of infrared temperature distribution maps. This sequence can reflect the dynamic change of the surface temperature distribution of the switchgear within the preset monitoring window, which helps to analyze the temperature change trend and potential overheating risk inside the switchgear.

[0028] Step S4: Traverse the Q joint vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to perform vibration anomaly analysis, and obtain the first abnormal joint set and the first abnormal mechanical control point set.

[0029] Specifically, for the Q joint vibration monitoring data sequences, first determine the characteristics of each joint vibration data under normal conditions, such as the normal vibration amplitude range, vibration frequency range, etc. These characteristics under normal conditions can be obtained through statistical analysis of the historical data during the normal operation of the switchgear, or determined according to relevant standards and empirical values. Starting from the first joint vibration monitoring data sequence, analyze each data point one by one. If it is found that the vibration amplitude corresponding to a certain data point exceeds the normal range, or the vibration frequency does not conform to the frequency range under normal conditions, it is determined that there is a vibration anomaly at this joint. Traverse all the joint vibration monitoring data sequences in the same way, and record the joints determined to have vibration anomalies to form the first abnormal joint set.

[0030] For the P mechanical control point vibration monitoring data sequences, repeat the above process. First determine the characteristics of the normal vibration of the mechanical control points, then traverse and analyze each data point one by one, and form the first abnormal mechanical control point set with the mechanical control points with vibration anomalies. For example, if P = 3, and after analysis, it is found that 2 of the mechanical control points have vibration anomalies, then these 2 mechanical control points constitute the first abnormal mechanical control point set.

[0031] The first set of abnormal joints and the first set of abnormal mechanical control points provide accurate fault location information, thus helping the staff to deal with potential vibration abnormalities in a timely manner and improving the operating safety of the switchgear cabinet.

[0032] Step S5: Identify abnormal temperature points according to the degree of temperature change in the sequence of infrared temperature distribution maps, and obtain a set of positions of abnormal temperature points.

[0033] Specifically, first, analyze each map in the sequence of infrared temperature distribution maps. By observing the time change in the sequence of infrared temperature distribution maps, analyze the temperature change trend of each area. During the analysis process, image segmentation technology can be used first to distinguish different components or areas of the switchgear cabinet in the map, so as to analyze the temperature change of each area more accurately. For each segmented area or point, calculate its temperature change degree by comparing the temperature at the current moment with the temperature at the previous moment. For example, calculate the temperature change rate of a certain point, that is, (current temperature - temperature at the previous moment) / temperature at the previous moment. According to the preset temperature change threshold, judge whether the temperature change of each point or area is abnormal. If the temperature change degree of a certain point exceeds the set threshold, mark it as an abnormal temperature point. The temperature abnormal point indicates that the corresponding component has overheating or other faults, which may lead to safety hazards, such as equipment damage, fire risk, etc. Record the position information of all abnormal temperature points to form a set of positions of abnormal temperature points. This set can be a list, where each element contains the coordinate position of the abnormal temperature point in the switchgear cabinet or the information of the component to which it belongs.

[0034] Through temperature anomaly identification, potential temperature anomaly problems in the switchgear cabinet can be discovered in a timely manner, providing information on abnormal position points in the dimension monitoring dimension, and further providing the comprehensiveness of anomaly location.

[0035] Step S6: Calculate the union of the positions of the first set of abnormal joints, the first set of abnormal mechanical control points, and the set of positions of abnormal temperature points to obtain a set of abnormal position points.

[0036] Specifically, determine the specific positions in the switchgear corresponding to the first set of abnormal joint points and the first set of abnormal mechanical control points. Extract all the position information in the first set of abnormal joint points and the first set of abnormal mechanical control points and put them into a temporary set. Then, check each position in the set of abnormal temperature point positions 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 duplicate addition). Through the position union operation, merge all the abnormal point positions in the three sets to obtain the final set of abnormal position points, which can comprehensively and efficiently identify potential problems, provide a comprehensive fault detection result, cover all components or areas with potential risks, and thus avoid missing any area that may cause faults or safety hazards.

[0037] Step S7: Send the set of abnormal position points to the staff for safety detection.

[0038] Specifically, send the identified set of abnormal position points to the relevant staff, and guide the staff to conduct safety detection on each abnormal position one by one according to the information in the set of abnormal position points. When sending the set of abnormal position points, it can be sent to the staff responsible for safety detection through an internal communication system, such as an instant messaging software or email system within the enterprise, by sending a report containing the information of the set of abnormal position points; it can also be directly sent to a specific application on the mobile device (such as a tablet or smartphone) held by the staff to visually display the data, facilitating the staff to view the abnormal position information.

[0039] This real-time transmission of abnormal positions can significantly improve the response speed and accuracy of equipment maintenance, efficiently convert the monitoring results into specific actions, promptly detect equipment faults, avoid equipment damage, unstable operation or safety accidents, and thus enhance the operation safety and stability of the switchgear.

[0040] Further, as Figure 2 shown, step S4 of the embodiment of the present application further includes:

[0041] Step S41: Traverse the Q joint vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences for amplitude fluctuation analysis to determine the amplitude fluctuation coefficients of the Q joints and the amplitude fluctuation coefficients of the P mechanical control points.

[0042] Step S42: Traverse the Q joint vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences for amplitude concentration value analysis to determine the amplitude concentration values of the Q joints and the amplitude concentration values of the P mechanical control points.

[0043] 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.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] Through weighted calculation, combining the aspects of amplitude fluctuation and concentration value, a comprehensive evaluation result, namely the anomaly coefficient, is obtained, so as to more comprehensively reflect the abnormal situation of the equipment. A weight value is preset for the amplitude fluctuation coefficient and the amplitude concentration value respectively. For example, the amplitude fluctuation coefficient and the amplitude concentration value account for 40% and 60% of the weights respectively, or both the amplitude fluctuation coefficient and the amplitude concentration value account for 50% of the weights. Then, according to this weight value, the weighted calculation is respectively carried out on the amplitude fluctuation coefficients of Q joint points and the amplitude concentration values of Q joint points, and Q joint point anomaly coefficients are obtained; the weighted calculation is respectively carried out on the amplitude fluctuation coefficients of P mechanical control points and the amplitude concentration values of P mechanical control points, and P mechanical control point anomaly coefficients are obtained. The larger the calculated anomaly coefficient is, the higher the anomaly risk of the monitoring point is.

[0048] The preset anomaly coefficient is a threshold set in advance and used as a standard to judge whether a joint point or a mechanical control point is abnormal. The anomaly coefficients of Q joint points and the anomaly coefficients of P mechanical control points are respectively compared with the preset anomaly coefficient. If the anomaly coefficient of a certain joint point or the anomaly coefficient of a mechanical control point is greater than or equal to the preset anomaly coefficient, then add this joint point or mechanical control point into the corresponding first abnormal joint point set and the first abnormal mechanical control point set.

[0049] The above steps accurately evaluate the vibration characteristics of joint points and mechanical control points through amplitude fluctuation analysis and amplitude concentration value analysis, and comprehensively consider the volatility and concentration of vibration through weighted calculation and threshold comparison to judge whether there is an anomaly at the monitoring point, obtaining a more accurate vibration anomaly judgment result, reminding the staff to focus on and handle it, so as to improve the safety and stability of the switch cabinet.

[0050] Further, step S41 further includes:

[0051] Step S411: Use the interpolation method to perform data missing value filling processing on the vibration monitoring data sequences of the Q joint points and the vibration monitoring data sequences of the P mechanical control points, and obtain Q complete vibration monitoring data sequences of joint points and P complete vibration monitoring data sequences of mechanical control points.

[0052] Step S412: Traverse the Q complete vibration monitoring data sequences of joint points and the P complete vibration monitoring data sequences of mechanical control points to calculate the fluctuation variance, and obtain the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points.

[0053] 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.

[0054] 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.

[0055] Furthermore, step S42 further includes:

[0056] 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.

[0057] Step S422: traverse the first joining point amplitude set to perform mean calculation to obtain the first joining point amplitude mean.

[0058] 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.

[0059] 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.

[0060] Step S425: Perform amplitude concentration value analysis on the Q joint vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to determine the Q joint amplitude concentration values and the P mechanical control point amplitude concentration values.

[0061] Specifically, randomly extract a joint vibration monitoring data sequence from the Q joint vibration monitoring data sequences, denoted as the first joint vibration monitoring data sequence, and the corresponding joint is denoted as the first joint. Using amplitude as the index, extract all the specific amplitude values (i.e., the first joint amplitudes) collected at all times from the first joint vibration monitoring data sequence to form the first joint amplitude set.

[0062] Calculate the mean value of all the data in the first joint amplitude set to obtain the first joint amplitude mean. The amplitude mean can reflect the overall vibration intensity level of the joint. If the amplitude mean is high, it indicates that the vibration of this joint is relatively intense.

[0063] Using the elements in the first joint amplitude set (i.e., the first joint amplitudes) as the vertical axis values, and taking the order of the data points or the corresponding timestamps, etc. as the horizontal axis values, construct a two-dimensional concentration analysis space. Use the straight line passing through the first joint amplitude mean and parallel to the horizontal axis of the two-dimensional concentration analysis space as the starting straight line. Then identify the concentrated neighborhood according to certain rules such as a certain distance or the number of data points. For example, it can be set that the area formed by moving 0.2 amplitude units up and down centered on this straight line is the first concentrated neighborhood. Calculate the mean value of all the first joint amplitudes in the first concentrated neighborhood to obtain the first joint amplitude concentration value.

[0064] Using a similar method as above, perform operations on the remaining (Q - 1) joint vibration monitoring data sequences in turn to obtain (Q - 1) joint amplitude concentration values. Similarly, for the P mechanical control point vibration monitoring data sequences, also use a similar method to perform amplitude concentration value analysis to determine the P mechanical control point amplitude concentration values.

[0065] Furthermore, step S423 further includes:

[0066] Step S423-1: Construct the starting neighborhood of the starting straight line in the two-dimensional concentration analysis space according to the preset neighborhood bandwidth, where the horizontal axis of the two-dimensional concentration analysis space is time and the vertical axis is the first joint amplitude.

[0067] Step S423-2: Iterate the starting straight line upward and downward according to the preset neighborhood bandwidth to obtain the upward iteration straight line and the downward iteration straight line.

[0068] Step S423-3: Determine whether the data volume of the upward iteration neighborhood constructed based on the upward iteration line is greater than or equal to the data volume of the starting neighborhood. If so, continue to iteratively move the upward iteration line upward until a preset iteration stop condition is met, and obtain the upward target neighborhood.

[0069] Step S423-4: Determine whether the data volume of the downward iteration neighborhood constructed based on the downward iteration line is greater than or equal to the data volume of the starting neighborhood. If so, continue to iteratively move the downward iteration line downward until a preset iteration stop condition is met, and obtain the downward target neighborhood.

[0070] Step S423-5: Use the target neighborhood corresponding to the larger data volume among the upward target neighborhood and the downward target neighborhood as the first concentrated neighborhood.

[0071] 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 represented by a certain amplitude range. From the foregoing 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 joint point, and the starting line is a line passing through the average value of the amplitude of the first joint point and parallel to the horizontal axis of the two-dimensional concentrated analysis space. Translate the starting line upward and downward by half of the preset neighborhood bandwidth respectively. The area between the positions of the two translated lines constitutes the starting neighborhood. This area is the starting point for subsequent iterative operations. Exemplarily, the average amplitude of the first joint point is 0.2, and the preset neighborhood bandwidth is 0.1. In the two-dimensional concentrated analysis space, the abscissa represents time and the ordinate 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.

[0072] Iteratively move the starting line upward according to the preset neighborhood bandwidth, that is, translate the starting line upward by the preset neighborhood bandwidth to obtain the corresponding upward iteration line. The amplitude value corresponding to this upward iteration line is the sum of the average amplitude of the first joint point and the preset neighborhood bandwidth. Similarly, iteratively move the starting line downward to obtain the downward iteration line.

[0073] According to the same method of constructing the starting neighborhood, construct the upward iteration neighborhood and the downward iteration neighborhood based on the upward iteration line and the downward iteration line respectively. The width ranges of the upward iteration neighborhood and the downward iteration neighborhood are both the preset neighborhood bandwidth. Exemplarily, the starting line is y = 0.2, and the preset neighborhood bandwidth is 0.1. Through upward and downward operations, the upward iteration line y = 0.25 and the downward iteration line y = 0.15 are obtained. Based on the upward iteration line and the downward iteration line, an upward iteration neighborhood with an amplitude range of 0.2 to 0.3 and a downward iteration neighborhood with an amplitude range of 0.2 to 0.1 can be obtained.

[0074] Statistically count the data volume of the upward iteration neighborhood and the starting neighborhood respectively, and then determine whether the data volume of the upward iteration neighborhood is greater than or equal to that of the starting neighborhood. If so, continue to iterate upward according to the upward iteration line and the preset neighborhood bandwidth, divide a new upward iteration neighborhood and compare the data volume until the preset iteration stop condition is reached, stop the iteration, and use the upward iteration neighborhood at this time as the upward target neighborhood.

[0075] Similarly, during the downward iteration process, statistically count the data volume of the downward iteration neighborhood and compare it with the data volume of the starting neighborhood. If the data volume of the downward iteration neighborhood is greater than or equal to that of the starting neighborhood, continue to iterate downward according to the downward iteration line and the preset neighborhood bandwidth, divide a new downward iteration neighborhood and compare the data volume 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.

[0076] Compare the data volumes of the upward target neighborhood and the downward target neighborhood, and use the target neighborhood with the larger data volume as the first concentrated neighborhood. The data in this 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.

[0077] Furthermore, the preset iteration stop condition is to meet the preset number of iterations and / or the data volume of the iteration neighborhood obtained in the current iteration is less than the data volume of the iteration neighborhood obtained in the previous iteration.

[0078] Specifically, steps S423-1 to S423-5 determine the region where the vibration data is more concentrated by performing multiple iterations on the upward iteration line and the downward iteration line to expand or contract the range of the neighborhood. A preset iteration stop condition is set during the iteration process to control the iteration process, avoid unnecessary calculations, and ensure the efficiency of the analysis. The preset iteration stop conditions include: meeting the preset number of iterations; the data volume of the iteration neighborhood obtained in the current iteration is less than the data volume of the iteration neighborhood obtained in the previous iteration. As long as any one of these two preset iteration stop conditions is met, the iteration operation is stopped. Specifically: the preset number of iterations is a fixed numerical value set in advance. During the upward or downward iteration process, an iteration number 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 data volume of the iteration neighborhood obtained in the current iteration is less than the data volume of the iteration neighborhood obtained in the previous iteration, it indicates that the neighborhood has reached a stable range and there is no significant increase. At this time, the iteration is stopped.

[0079] Furthermore, the method further includes:

[0080] Step S81: Obtain a preset protection feedback window.

[0081] Step S82: After the staff has conducted a safety inspection, conduct a safety inspection on the abnormal position points in the preset protection feedback window to obtain a feedback inspection result.

[0082] Specifically, the preset protection feedback window is a preset feedback monitoring time period, which is used to conduct a safety inspection on the abnormal position points again after the staff has completed the preliminary safety inspection and obtain a feedback inspection result. For example, this window can be within 24 hours after the initial inspection to further verify whether the staff's safety inspection is sufficient and whether it can effectively solve the abnormal problems. The protection feedback window can be set and managed through the enterprise's internal maintenance management platform or monitoring system, and the staff's feedback inspection results are recorded.

[0083] After the staff has completed the safety inspection, the feedback inspection window is automatically started. When the start time of the preset protection feedback window is reached, the safety inspection on the abnormal position points is started again. The inspection steps are similar to the aforementioned Steps S2 to S6. For the position points where vibration abnormalities existed before, a vibration sensor is used again to detect whether parameters such as vibration amplitude and frequency have improved. For the abnormal position points where temperature abnormalities existed before, a thermal imager is used again to detect whether the temperature has returned to normal or whether the change trend has been controlled. After the re-inspection of all abnormal position points is completed, these inspection results are summarized to form a feedback inspection 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 inspection results, and information such as whether there are still potential safety hazards.

[0084] By setting the feedback window and obtaining the feedback inspection result, it is possible to further track and verify the repair result of the abnormal position points, ensuring that all abnormal problems have been completely solved. If the staff's repair measures are not sufficient, the feedback inspection result will promptly feedback information and guide the staff to further check and process. Through this feedback mechanism, the effectiveness of the entire safety inspection process can be improved, thereby improving the operation safety and stability of the switchgear.

[0085] In summary, the power safety protection method for switchgear control provided by the embodiments of the present application has the following technical effects:

[0086] In the embodiment of the present application, in combination with the design information of the switch cabinet, vibration sensors and infrared thermal imagers are used to monitor the switch cabinet from two dimensions of vibration and temperature, vibration and temperature data are collected respectively, the abnormal position sets in their respective dimensions are obtained through in-depth analysis, and then these sets are integrated to obtain a comprehensive abnormal position point set and sent to the staff, realizing the accurate positioning of the abnormal positions 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, this method can detect potential faults in advance and accurately guide the maintenance personnel to handle them, effectively reducing the time and workload of the staff in troubleshooting faults, significantly improving the safety protection level of the switch cabinet, optimizing the operation and maintenance efficiency, and enhancing the operation safety and reliability of the switch cabinet.

[0087] Embodiment 2, as Figure 3 shown, the embodiment of the present application provides a power safety protection system for switch cabinet control, and the system includes:

[0088] A design information acquisition module 10, configured 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.

[0089] A vibration monitoring module 20, 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 a Q joint point vibration monitoring data sequence and a P mechanical control point vibration monitoring data sequence.

[0090] A temperature monitoring module 30, configured to extract the switch cabinet size in the design information of the target switch cabinet, determine the installation position of the infrared thermal imager and perform focusing, and use the focused infrared thermal imager to collect the temperature of the target switch cabinet at a preset monitoring frequency within a preset monitoring window to obtain a sequence of infrared temperature distribution maps.

[0091] A vibration abnormality analysis module 40, configured to traverse the Q joint point vibration monitoring data sequence and the P mechanical control point vibration monitoring data sequence for vibration abnormality analysis, and obtain a first abnormal joint point set and a first abnormal mechanical control point set.

[0092] A temperature abnormality identification module 50, configured to identify abnormal temperature points according to the degree of temperature change in the infrared temperature distribution map sequence, and obtain a set of abnormal temperature point positions.

[0093] An abnormality integration module 60, configured to perform a union operation on the positions of the first abnormal joint point set, the first abnormal mechanical control point set, and the abnormal temperature point position set to obtain an abnormal position point set.

[0094] The result output module 70 is used to send the set of abnormal position points to the staff for safety detection.

[0095] Furthermore, the vibration anomaly analysis module 40 in the embodiment of the present application is further configured to perform the following steps:

[0096] Traverse the Q joint vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences for amplitude fluctuation analysis to determine the amplitude fluctuation coefficients of the Q joints and the amplitude fluctuation coefficients of the P mechanical control points; traverse the Q joint vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences for amplitude concentration value analysis to determine the amplitude concentration values of the Q joints and the amplitude concentration values of the P mechanical control points; perform weighted calculations on the amplitude fluctuation coefficients of the Q joints and the amplitude concentration values of the Q joints, and the amplitude fluctuation coefficients of the P mechanical control points and the amplitude concentration values of the P mechanical control points respectively to determine the abnormal coefficients of the Q joints and the abnormal coefficients of the P mechanical control points; determine whether the abnormal coefficients of the Q joints and the abnormal coefficients of the P mechanical control points are greater than or equal to the preset abnormal coefficients respectively. If so, add them to the corresponding first abnormal joint set and the first abnormal mechanical control point set.

[0097] Furthermore, the vibration anomaly analysis module 40 in the embodiment of the present application is further configured to perform the following steps:

[0098] Use the interpolation method to perform data missing value filling processing on the Q joint vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to obtain Q complemented joint vibration monitoring data sequences and P complemented mechanical control point vibration monitoring data sequences; traverse the Q complemented joint vibration monitoring data sequences and the P complemented mechanical control point vibration monitoring data sequences for fluctuation variance calculation to obtain the amplitude fluctuation coefficients of the Q joints and the amplitude fluctuation coefficients of the P mechanical control points.

[0099] Furthermore, the vibration anomaly analysis module 40 in the embodiment of the present application is further configured to perform the following steps:

[0100] Extract the first joint vibration monitoring data sequence from the Q joint vibration monitoring data sequences, extract the first joint vibration monitoring data sequence with the amplitude as the index to obtain the first joint amplitude set; traverse the first joint amplitude set to calculate the mean value to obtain the first joint amplitude mean value; construct a two-dimensional centralized analysis space based on the first joint amplitude set, and use the straight line passing through the first joint amplitude mean value and parallel to the horizontal axis of the two-dimensional centralized analysis space as the starting straight line for centralized neighborhood identification to determine the first centralized neighborhood; calculate the mean value of multiple first joint amplitudes in the first centralized neighborhood to obtain the first joint amplitude centralized value; perform amplitude centralized value analysis on the Q joint vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to determine the Q joint amplitude centralized values and the P mechanical control point amplitude centralized values.

[0101] Further, the vibration anomaly analysis module 40 of the embodiment of the present application is further configured to perform the following steps:

[0102] Construct a starting neighborhood of the starting straight line in the two-dimensional centralized analysis space according to a preset neighborhood bandwidth, where the horizontal axis of the two-dimensional centralized analysis space is time and the vertical axis is the first joint amplitude; iterate the starting straight line upward and downward according to the preset neighborhood bandwidth to obtain an upward iteration straight line and a downward iteration straight line; determine whether the data volume of the upward iteration neighborhood constructed based on the upward iteration straight line is greater than or equal to the data volume of the starting neighborhood. If so, continue to iterate the upward iteration straight line upward until a preset iteration stop condition is satisfied to obtain an upward target neighborhood; determine whether the data volume of the downward iteration neighborhood constructed based on the downward iteration straight line is greater than or equal to the data volume of the starting neighborhood. If so, continue to iterate the downward iteration straight line downward until a preset iteration stop condition is satisfied to obtain a downward target neighborhood; use the target neighborhood corresponding to the larger value of the data volumes in the upward target neighborhood and the downward target neighborhood as the first centralized neighborhood.

[0103] Further, the preset iteration stop condition is to satisfy the preset number of iterations and / or the data volume of the iteration neighborhood obtained in the current iteration is less than the data volume of the iteration neighborhood obtained in the previous iteration.

[0104] Further, the system of the embodiment of the present application is further configured to perform the following steps:

[0105] Obtain a preset protection feedback window; after the staff performs a safety inspection, perform a safety inspection on the abnormal position point in the preset protection feedback window to obtain a feedback inspection result.

[0106] Through the foregoing detailed description of the power safety protection method for switchgear control in this specification, those skilled in the art can clearly know the power safety protection system for switchgear control in this embodiment. For the system disclosed in Embodiment 2, since it corresponds to the method disclosed in Embodiment 1, it has corresponding functional modules and beneficial effects. For the relevant parts, refer to the description in the method section.

[0107] 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 obvious to those skilled in the art, and the general principles defined herein can 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 these embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A power safety protection method for switchgear control, characterized in that, The method includes: Obtain the design information of the target switchgear cabinet, 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 Q joint point vibration monitoring data sequences and P mechanical control point vibration monitoring data sequences; Extract the switchgear cabinet size in the design information of the target switchgear cabinet, determine the installation position of the infrared thermal imager and perform focusing, and use the focused infrared thermal imager to collect the temperature of the target switchgear cabinet at a preset monitoring frequency within a preset monitoring window to obtain a sequence of infrared temperature distribution maps; Traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences for vibration anomaly analysis to obtain a first set of abnormal joint points and a first set of abnormal mechanical control points; Identify abnormal temperature points according to the degree of temperature change in the sequence of infrared temperature distribution maps to obtain a set of abnormal temperature point positions; Perform a position union operation on the positions of the first set of abnormal joint points and the first set of abnormal mechanical control points, and the set of abnormal temperature point positions to obtain a set of abnormal position points; Send the set of abnormal position points to the staff for safety inspection; Traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences for vibration anomaly analysis to obtain a first set of abnormal joint points and a first set of abnormal mechanical control points, including: Traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences for amplitude fluctuation analysis to 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 for amplitude concentration value analysis to 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 amplitude fluctuation coefficients of the Q joint points and the amplitude concentration values of the Q joint points, and the amplitude fluctuation coefficients of the P mechanical control points and the amplitude concentration values of the P mechanical control points respectively to determine the abnormal coefficients of the Q joint points and the abnormal coefficients of the P mechanical control points; Judge whether the abnormal coefficients of the Q joint points and the abnormal coefficients of the P mechanical control points are respectively greater than or equal to a preset abnormal coefficient. If so, add them to the corresponding first set of abnormal joint points and the first set of abnormal mechanical control points.

2. The power safety protection method for switchgear control according to claim 1, wherein, Traverse the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences for amplitude fluctuation analysis to determine the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points, including: Use the interpolation method to perform data missing value filling processing on the Q joint point vibration monitoring data sequences and the P mechanical control point vibration monitoring data sequences to obtain Q complemented joint point vibration monitoring data sequences and P complemented mechanical control point vibration monitoring data sequences; Traverse the vibration monitoring data sequences of the Q complementary joint points and the vibration monitoring data sequences of the P complementary mechanical control points to calculate the fluctuation variance, and obtain the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points.

3. The power safety protection method for switchgear control according to claim 1, characterized in that, Including: Extract the first joint vibration monitoring data sequence from the vibration monitoring data sequences of the Q joint points, and extract the first joint vibration monitoring data sequence with the amplitude as the index to obtain the first joint amplitude set; Traverse the first joint amplitude set to calculate the mean value, and obtain the first joint amplitude mean value; Based on the first joint amplitude set, construct a two-dimensional centralized analysis space, and use the straight line passing through the first joint amplitude mean value and parallel to the horizontal axis of the two-dimensional centralized analysis space as the starting straight line to identify the centralized neighborhood, and determine the first centralized neighborhood; Calculate the mean value of multiple first joint amplitudes in the first centralized neighborhood to obtain the first joint amplitude centralized value; Perform amplitude centralized value analysis on the vibration monitoring data sequences of the Q joint points and the vibration monitoring data sequences of the P mechanical control points to determine the amplitude centralized values of the Q joint points and the amplitude centralized values of the P mechanical control points.

4. The power safety protection method for switchgear control according to claim 3, characterized in that, Based on the first joint amplitude set, construct a two-dimensional centralized analysis space, and use the straight line passing through the first joint amplitude mean value and parallel to the horizontal axis of the two-dimensional centralized analysis space as the starting straight line to identify the centralized neighborhood, and determine the first centralized neighborhood, including: In the two-dimensional centralized analysis space, construct the starting neighborhood of the starting straight line according to the preset neighborhood bandwidth, where the horizontal axis of the two-dimensional centralized analysis space is time and the vertical axis is the first joint amplitude; Iterate the starting straight line upward and downward according to the preset neighborhood bandwidth to obtain the upward iteration straight line and the downward iteration straight line; Judge whether the data volume of the upward iteration neighborhood constructed based on the upward iteration straight line is greater than or equal to the data volume of the starting neighborhood. If so, continue to iterate the upward iteration straight line upward until the preset iteration stop condition is met to obtain the upward target neighborhood; Judge whether the data volume of the downward iteration neighborhood constructed based on the downward iteration straight line is greater than or equal to the data volume of the starting neighborhood. If so, continue to iterate the downward iteration straight line downward until the preset iteration stop condition is met to obtain the downward target neighborhood; Take the target neighborhood corresponding to the larger value of the data volume in the upward target neighborhood and the downward target neighborhood as the first centralized neighborhood.

5. The power safety protection method for switchgear control according to claim 4, characterized in that, The preset iteration stop condition is to meet the preset number of iterations and / or the data volume of the iteration neighborhood obtained in the current iteration is less than the data volume of the iteration neighborhood obtained in the previous iteration.

6. The power safety protection method for switchgear control according to claim 1, characterized in that, Including: Obtain a preset protection feedback window; After the staff performs a safety inspection, perform a safety inspection on the abnormal position point in the preset protection feedback window to obtain a feedback inspection result.

7. A power safety protection system for switchgear control, characterized in that, The system is used to execute the power safety protection method for switchgear control according to any one of claims 1-6, including: A design information acquisition module, configured to acquire the design information of the target switchgear, and extract Q joint points and P mechanical control points based on the design information; A vibration monitoring module, which is used 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 a vibration monitoring data sequence of Q joint points and a vibration monitoring data sequence of P mechanical control points; A temperature monitoring module, which is used to extract the switchgear size in the design information of the target switchgear, determine the layout positions of infrared thermal imagers and perform focusing, and use the focused infrared thermal imagers to collect the temperature of the target switchgear at a preset monitoring frequency within a preset monitoring window, and obtain a sequence of infrared temperature distribution maps; A vibration anomaly analysis module, which is used to traverse the vibration monitoring data sequences of the Q joint points and the P mechanical control points for vibration anomaly analysis, and obtain a first set of abnormal joint points and a first set of abnormal mechanical control points; A temperature anomaly identification module, which is used to identify abnormal temperature points according to the degree of temperature change in the sequence of infrared temperature distribution maps, and obtain a set of positions of abnormal temperature points; An anomaly integration module, which is used to perform a union operation on the positions of the first set of abnormal joint points and the first set of abnormal mechanical control points, and the set of positions of the abnormal temperature points, to obtain a set of abnormal position points; A result output module, which is used to send the set of abnormal position points to the staff for safety inspection; The vibration anomaly analysis module is further used to execute the following steps: Traverse the vibration monitoring data sequences of the Q joint points and the P mechanical control points for amplitude fluctuation analysis to determine the amplitude fluctuation coefficients of the Q joint points and the amplitude fluctuation coefficients of the P mechanical control points; traverse the vibration monitoring data sequences of the Q joint points and the P mechanical control points for amplitude concentration value analysis to 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 amplitude fluctuation coefficients and amplitude concentration values of the Q joint points, and the amplitude fluctuation coefficients and amplitude concentration values of the P mechanical control points respectively, to determine the abnormal coefficients of the Q joint points and the abnormal coefficients of the P mechanical control points; judge whether the abnormal coefficients of the Q joint points and the abnormal coefficients of the P mechanical control points are respectively greater than or equal to a preset abnormal coefficient, and if so, add them to the corresponding first set of abnormal joint points and the first set of abnormal mechanical control points.

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