Outdoor power distribution cabinet fault monitoring control system based on regional feedback

Abstract

The invention belongs to the field of power distribution cabinet fault monitoring, relates to a data analysis technology, is used for solving the problem that comprehensive analysis cannot be carried out by combining monitoring data and actual fault feedback data in the prior art, and particularly relates to an outdoor power distribution cabinet fault monitoring control system based on regionalized feedback. The monitoring control platform is in communication connection with a region monitoring module, a feedback statistics module, a factor evaluation module, an early warning analysis module and a database; the regional monitoring module is used for performing regional monitoring analysis on the outdoor power distribution cabinet; generating a monitoring period, dividing the monitoring period into a plurality of monitoring time periods, and acquiring a monitoring coefficient of a monitored object at the end time of the monitoring time periods; according to the invention, regionalized monitoring analysis can be carried out on the outdoor power distribution cabinet, multiple operation state parameters of the monitored object are obtained and comprehensively analyzed and calculated to obtain the monitoring coefficient, the abnormal degree of the operation state of the monitored object is fed back according to the monitoring coefficient, and an alarm is given in time when the operation is abnormal.

Description

Technical Field

[0001] The present invention belongs to the field of distribution cabinet fault monitoring and relates to data analysis technology, and specifically to an outdoor distribution cabinet fault monitoring and control system based on regionalized feedback. Background Art

[0002] The distribution cabinet monitoring system plays an important role in fault monitoring and control. The system can monitor various parameters of the power system in real time, such as voltage, current, load and equipment status, to ensure the normal operation of the system; through real-time data monitoring and analysis, the system can manage the power load more effectively, avoid peak electricity charges and reduce electricity costs.

[0003] The invention patent with announcement number CN116545115B discloses a low-voltage distribution cabinet fault monitoring system and method thereof, wherein the fault monitoring system extracts characteristic parameters related to potential faults of the low-voltage distribution cabinet; the analysis module combines the characteristic parameters with environmental parameters and electric energy parameters collected by the acquisition module to determine whether the low-voltage distribution cabinet has a fault; the data can be processed efficiently to accurately monitor the faults of the low-voltage distribution cabinet; however, the fault monitoring system cannot combine the monitoring data with the actual fault feedback data for comprehensive analysis, so that local early warning influencing factors cannot be dynamically extracted while the fault monitoring alarm is issued, resulting in the inability to effectively predict the faults of the outdoor distribution cabinet.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide an outdoor power distribution cabinet fault monitoring and control system based on regionalized feedback, which is used to solve the problem that the prior art cannot combine monitoring data with actual fault feedback data for comprehensive analysis;

[0006] The technical problem to be solved by the present invention is: how to provide an outdoor distribution cabinet fault monitoring and control system based on regionalized feedback that can combine monitoring data with actual fault feedback data for comprehensive analysis.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An outdoor power distribution cabinet fault monitoring and control system based on regional feedback includes a monitoring and control platform, wherein the monitoring and control platform is communicatively connected with a regional monitoring module, a feedback statistics module, a factor evaluation module, an early warning analysis module and a database;

[0009] The regional monitoring module is used to perform regional monitoring and analysis on the outdoor power distribution cabinet: the monitoring area of ​​the outdoor power distribution cabinet is divided into several monitoring areas, the outdoor power distribution cabinets in the monitoring area are marked as monitoring objects, a monitoring cycle is generated and the monitoring cycle is divided into several monitoring time periods, and the monitoring coefficient JC of the monitoring object is obtained at the end of the monitoring time period, and the monitoring coefficient JC is used to determine whether the operating status of the monitoring object in the monitoring time period is normal;

[0010] The feedback statistics module is used to perform statistical analysis on the fault feedback data of the outdoor power distribution cabinet and obtain the feedback coefficient FK of the monitored object within the monitoring period; the feedback coefficient FK of all monitored objects in the monitoring area is sent to the factor evaluation module through the monitoring control platform;

[0011] The factor evaluation module is used to evaluate and analyze the early warning influencing factors of the outdoor distribution cabinet: all the monitored objects in the monitoring area are arranged in order from small to large according to the feedback coefficient FK value to obtain a feedback sequence, the influencing factors are compared with the feedback sequence to obtain the monitoring compliance coefficient, environmental compliance coefficient and aging load coefficient of the monitoring area, the monitoring compliance coefficient, environmental compliance coefficient and aging load coefficient are numerically compared and the early warning factors are marked according to the comparison results;

[0012] The early warning analysis module is used to perform fault prediction analysis on the outdoor power distribution cabinet according to early warning factors.

[0013] Furthermore, the process of obtaining the monitoring coefficient JC of the monitored object includes: obtaining the flow variation data LY, pressure variation data YY and temperature variation data WY of the monitored object during the monitoring period; The monitoring coefficient JC of the monitored object during the monitoring period is obtained, where m1, m2 and m3 are all proportional coefficients, and m1>m2>m3>1.

[0014] Furthermore, the process of acquiring flow deviation data LY includes: acquiring the current value of the monitored object in real time, calling the current standard range when the monitored object is running, marking the average value of the maximum and minimum values ​​of the current standard range as the current standard value, marking the absolute value of the difference between the current value and the current standard value as the flow deviation value of the monitored object, and marking the maximum value of the flow deviation value within the monitoring period as the flow deviation data LY of the monitored object; the process of acquiring pressure deviation data YY includes: acquiring the voltage value of the monitored object in real time, calling the voltage standard range when the monitored object is running, marking the average value of the maximum and minimum values ​​of the voltage standard range as the voltage standard value, marking the absolute value of the difference between the voltage value and the voltage standard value as the pressure deviation value, and marking the maximum value of the pressure deviation value within the monitoring period as the pressure deviation data YY of the monitored object; the temperature deviation data WY is the maximum value of the surface temperature value of the monitored object within the monitoring period.

[0015] Furthermore, the specific process of determining whether the operating status of the monitored object during the monitoring period is normal includes: obtaining the monitoring threshold JCmax through the database, and comparing the monitoring coefficient JC of the monitored object during the monitoring period with the monitoring threshold JCmax: if the monitoring coefficient JC is less than the monitoring threshold JCmax, then it is determined that the operating status of the monitored object during the monitoring period is normal; if the monitoring coefficient JC is greater than or equal to the monitoring threshold JCmax, then it is determined that the operating status of the monitored object during the monitoring period is abnormal, and an abnormal operation signal is generated and sent to the mobile phone terminal of the manager through the monitoring control platform.

[0016] Furthermore, the process of obtaining the feedback coefficient FK of the monitored object within the monitoring period includes: obtaining the fault data GZ and delay data YW of the monitored object in the monitoring area at the end of the monitoring period, the fault data GZ being the actual number of faults fed back by the monitored object within the monitoring period, and the delay data YW being the comprehensive time for processing all actual faults fed back by the monitored object within the monitoring period; the feedback coefficient FK of the monitored object within the monitoring period is obtained by the formula FK=a1*GZ+a2*YW, wherein a1 and a2 are both proportional coefficients, and a1>a2>1.

[0017] Furthermore, the process of obtaining the monitoring compliance coefficient includes: at the end of the monitoring cycle, summing and averaging the monitoring coefficients JC of the monitored objects in all monitoring periods to obtain a monitoring performance value, arranging all the monitored objects in the monitoring area in order from small to large in terms of the monitoring performance values ​​to obtain a monitoring sequence, and calculating the sequence numbers of the monitored objects in the monitoring sequence and the feedback sequence to obtain a monitoring compliance coefficient;

[0018] The external air temperature value of the monitored object is marked as the external temperature value, and the maximum external temperature value in the monitoring period is marked as the temperature display value. The temperature display values ​​of the monitored object in all monitoring periods are summed and averaged to obtain the environmental performance value. All monitored objects in the monitoring area are arranged in order from small to large according to the environmental performance value to obtain the environmental sequence. The sequence numbers of the monitored objects in the environmental sequence and the feedback sequence are numerically calculated to obtain the environmental compliance coefficient.

[0019] The difference between the current system time and the commissioning time of the monitored object is marked as the aging value of the monitored object. All monitored objects in the monitoring area are arranged in order from small to large according to the aging value to obtain an aging sequence. The sequence number of the monitored object in the aging sequence and the feedback sequence is numerically calculated to obtain the aging load coefficient.

[0020] Furthermore, the specific process of the early warning analysis module performing fault prediction analysis on the outdoor distribution cabinet includes: obtaining the early warning factors of the monitoring area in the previous monitoring cycle; when the early warning factors are marked as monitoring factors, obtaining the monitoring early warning value JY of the monitoring area and performing fault early warning analysis through the monitoring early warning value JY; when the early warning factors are marked as environmental factors, obtaining the environmental warning value and performing fault early warning analysis through the environmental warning value; when the early warning factors are marked as aging factors, obtaining the aging warning value HY of the monitored object and performing fault early warning analysis through the aging warning value HY.

[0021] The present invention has the following beneficial effects:

[0022] 1. The regional monitoring module can be used to conduct regional monitoring and analysis of outdoor power distribution cabinets. Multiple operating status parameters of each monitored object during the monitoring period can be obtained by periodic regional monitoring, and comprehensive analysis and calculation can be performed to obtain the monitoring coefficient. According to the monitoring coefficient, the abnormal degree of the operating status of the monitored object can be fed back, and an alarm can be issued in time when the operation is abnormal;

[0023] 2. The feedback statistics module can be used to conduct statistical analysis on the fault feedback data of the outdoor distribution cabinet, provide feedback on the actual fault situation of the monitored object based on the fault feedback data, and combine the fault feedback data with the monitoring data to provide data support for the analysis process of early warning influencing factors;

[0024] 3. The factor evaluation module can evaluate and analyze the early warning influencing factors of the outdoor distribution cabinet, extract the influencing factors that best match the actual fault state of the outdoor distribution cabinet by using a multi-sequence comparison method, and mark the early warning factors. Then, the fault prediction analysis plan for the next monitoring cycle can be generated based on the early warning factors marked at the end of the monitoring period in the monitoring area, thereby improving the accuracy of fault monitoring and prediction results;

[0025] 4. The early warning analysis module can be used to perform fault prediction analysis on outdoor distribution cabinets. Predictive analysis and processing can be performed based on the early warning factors of the monitoring area in the previous monitoring cycle. Different early warning factors correspond to different predictive analysis and processing solutions to ensure the timeliness and effectiveness of the prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0028] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] like Figure 1 As shown, the outdoor distribution cabinet fault monitoring and control system based on regionalized feedback includes a monitoring and control platform, which is communicatively connected with a regional monitoring module, a feedback statistics module, a factor evaluation module, an early warning analysis module and a database.

[0030] The regional monitoring module is used to perform regional monitoring and analysis on the outdoor distribution cabinet: the monitoring area of ​​the outdoor distribution cabinet is divided into several monitoring areas, the outdoor distribution cabinets in the monitoring area are marked as monitoring objects, a monitoring cycle is generated and the monitoring cycle is divided into several monitoring time periods, and the flow difference data LY, pressure difference data YY and temperature difference data WY of the monitoring object in the monitoring time period are obtained;

[0031] The process of acquiring the flow deviation data LY includes: acquiring the current value of the monitored object in real time, calling the current standard range when the monitored object is running, marking the average value of the maximum value and the minimum value of the current standard range as the current standard value, marking the absolute value of the difference between the current value and the current standard value as the flow deviation value of the monitored object, and marking the maximum value of the flow deviation value within the monitoring period as the flow deviation data LY of the monitored object;

[0032] The process of obtaining the voltage difference data YY includes: obtaining the voltage value of the monitored object in real time, calling the voltage standard range when the monitored object is running, marking the average value of the maximum value and the minimum value of the voltage standard range as the voltage standard value, marking the absolute value of the difference between the voltage value and the voltage standard value as the voltage difference value, and marking the maximum value of the voltage difference value within the monitoring period as the voltage difference data YY of the monitored object;

[0033] The temperature variation data WY is the maximum value of the surface temperature of the monitored object during the monitoring period;

[0034] By formula The monitoring coefficient JC of the monitored object in the monitoring period is obtained, where m1, m2 and m3 are all proportional coefficients, and m1>m2>m3>1; the monitoring threshold JCmax is obtained through the database, and the monitoring coefficient JC of the monitored object in the monitoring period is compared with the monitoring threshold JCmax:

[0035] If the monitoring coefficient JC is less than the monitoring threshold JCmax, it is determined that the operating state of the monitored object during the monitoring period is normal;

[0036] If the monitoring coefficient JC is greater than or equal to the monitoring threshold JCmax, the operating status of the monitored object during the monitoring period is determined to be abnormal, and an abnormal operation signal is generated and sent to the mobile terminal of the manager through the monitoring control platform; multiple operating status parameters of each monitored object during the monitoring period are obtained in a periodic regional monitoring manner, and a comprehensive analysis and calculation are performed to obtain the monitoring coefficient. According to the monitoring coefficient, the abnormal degree of the operating status of the monitored object is fed back, and an alarm is issued in time when the operation is abnormal.

[0037] The feedback statistics module is used to perform statistical analysis on the fault feedback data of the outdoor distribution cabinet: at the end of the monitoring period, the fault data GZ and delay data YW of the monitored objects in the monitoring area are obtained, the fault data GZ is the actual number of faults reported by the monitored objects during the monitoring period, and the delay data YW is the comprehensive time for processing all actual faults reported by the monitored objects during the monitoring period; the feedback coefficient FK of the monitored objects during the monitoring period is obtained by the formula FK=a1*GZ+a2*YW, where a1 and a2 are both proportional coefficients, and a1>a2>1; the feedback coefficient FK of all monitored objects in the monitoring area is sent to the factor evaluation module through the monitoring control platform; the actual fault situation of the monitored objects is fed back according to the fault feedback data, and the fault feedback data and monitoring data are combined to provide data support for the early warning influencing factor analysis process.

[0038] The factor evaluation module is used to evaluate and analyze the early warning influencing factors of the outdoor distribution cabinet: all the monitoring objects in the monitoring area are arranged in the order of the feedback coefficient FK value from small to large to obtain the feedback sequence;

[0039] At the end of the monitoring cycle, the monitoring coefficients JC of the monitored objects in all monitoring periods are summed and averaged to obtain the monitoring performance value, all the monitored objects in the monitoring area are arranged in order from small to large in terms of the monitoring performance value to obtain a monitoring sequence, the absolute value of the difference between the sequence number of the monitored object in the monitoring sequence and the sequence number in the feedback sequence is marked as the monitoring compliance value of the monitored object, and the monitoring compliance values ​​of all the monitored objects in the monitoring area are summed and averaged to obtain the monitoring compliance coefficient;

[0040] The external air temperature value of the monitored object is marked as the external temperature value, the maximum value of the external temperature value in the monitoring period is marked as the temperature display value, the temperature display values ​​of the monitored object in all monitoring periods are summed and averaged to obtain the environmental performance value, all monitored objects in the monitoring area are arranged in order from small to large according to the environmental performance value to obtain the environmental sequence, the absolute value of the difference between the sequence number of the monitored object in the environmental sequence and the sequence number in the feedback sequence is marked as the environmental compliance value of the monitored object, and the environmental compliance values ​​of all monitored objects in the monitoring area are summed and averaged to obtain the environmental compliance coefficient;

[0041] The difference between the current system time and the commissioning time of the monitored object is marked as the aging value of the monitored object. All monitored objects in the monitoring area are arranged in order of aging value from small to large to obtain an aging sequence. The absolute value of the difference between the sequence number of the monitored object in the aging sequence and the sequence number in the feedback sequence is marked as the aging compliance value of the monitored object. The aging compliance values ​​of all monitored objects in the monitoring area are summed and averaged to obtain the aging load coefficient; the monitoring compliance coefficient, environmental compliance coefficient and aging load coefficient of the monitoring area within the monitoring period are compared, and the influencing factor corresponding to the compliance coefficient with the smallest value is marked as the early warning factor of the monitoring area, and the early warning factors of all monitoring areas are sent to the early warning analysis module through the monitoring control platform; the influencing factors that best match the actual fault state of the outdoor distribution cabinet are extracted by multi-sequence comparison, and the early warning factors are marked. Then, the fault prediction analysis plan for the next monitoring period can be generated according to the early warning factors marked by the monitoring area at the end of the monitoring period, thereby improving the accuracy of fault monitoring and prediction results.

[0042] The early warning analysis module is used to perform fault prediction analysis on outdoor power distribution cabinets: obtain the early warning factors of the monitoring area in the previous monitoring cycle;

[0043] When the warning factor is marked as a monitoring factor, the monitoring warning value JY of the monitoring area is obtained by the formula JY=t1*JCmax, where t1 is the proportional coefficient, and 0.92≤0.98. When the monitoring coefficient JC obtained by the monitored object in the monitoring area at the end of the monitoring period is not less than the monitoring warning value JY, a fault warning signal is generated and sent to the mobile terminal of the manager through the monitoring control platform.

[0044] When the warning factor is marked as an environmental factor, the environmental performance values ​​of all monitored objects in the monitoring area in the previous monitoring cycle constitute the environmental impact set. The variance of the environmental impact set is calculated to obtain the environmental concentration value of the monitoring area. The environmental concentration threshold is retrieved from the database and the environmental concentration value is compared with the environmental concentration threshold:

[0045] If the environmental concentration value is less than the environmental concentration threshold, the maximum element in the environmental impact set is marked as the environmental warning value;

[0046] If the environmental concentration value is greater than or equal to the environmental concentration threshold, the maximum element and the minimum element in the environmental impact set are removed, and then the variance values ​​of all elements in the retained environmental impact set are calculated and re-labeled as the environmental concentration value, and so on, until the environmental concentration value is less than the environmental concentration threshold;

[0047] When the temperature display value obtained by the monitored object in the monitoring area at the end of the monitoring period is not less than the environmental warning value, an environmental warning signal is generated and sent to the mobile terminal of the manager through the monitoring control platform.

[0048] When the warning factor is marked as an aging factor, the formula HY = t2 u *JCmax obtains the aging warning value HY of the monitored object, where t2 is the proportional coefficient, the value of t2 is 0.98, and u is the serial number of the monitored object in the aging sequence of the corresponding monitoring area in the previous monitoring cycle (t2 u When it is less than 0.92, its value is set to 0.92), when the monitoring coefficient JC obtained by the monitored object in the monitoring area at the end of the monitoring period is not less than the corresponding aging warning value HY, an aging warning signal is generated and sent to the mobile phone terminal of the manager through the monitoring control platform; predictive analysis and processing are carried out according to the warning factors of the monitoring area in the previous monitoring cycle, and different warning factors correspond to different predictive analysis and processing schemes to ensure the timeliness and effectiveness of the prediction.

[0049] The outdoor distribution cabinet fault monitoring and control system based on regionalized feedback, when working, divides the monitoring area of ​​the outdoor distribution cabinet into several monitoring areas, marks the outdoor distribution cabinet in the monitoring area as the monitoring object, generates a monitoring cycle and divides the monitoring cycle into several monitoring time periods, obtains the monitoring coefficient JC of the monitoring object in the monitoring period, and judges whether the operating status of the monitoring object in the monitoring period is normal through the monitoring coefficient JC; at the end of the monitoring cycle, the fault data GZ and the delay data YW of the monitoring object in the monitoring area are obtained and numerically calculated to obtain the feedback coefficient FK, all the monitoring objects in the monitoring area are arranged in the order of the feedback coefficient FK from small to large to obtain the feedback sequence, and then the feedback sequence is compared and analyzed with the monitoring sequence, the environmental sequence, and the aging sequence in turn to obtain the monitoring compliance value, the environmental compliance value, and the aging compliance value, and the monitoring compliance value, the environmental compliance value, and the aging compliance value are compared and the early warning factors are marked according to the comparison results, and the fault prediction analysis is performed on the monitoring objects in the monitoring area in the next monitoring cycle according to the marked early warning factors.

[0050] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0051] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of sample data and sets corresponding monitoring coefficients for each group of sample data; substitutes the set monitoring coefficients and the collected sample data into the formula, and any three formulas constitute a three-variable linear equation system. The calculated coefficients are screened and averaged, and the values ​​of m1, m2, and m3 are obtained to be 4.85, 2.67, and 2.24, respectively;

[0052] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding monitoring coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the monitoring coefficient is proportional to the value of the flow data.

[0053] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0054] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Outdoor distribution cabinet fault monitoring and control system based on regional feedback, characterized in that: It includes a monitoring and control platform, which is communicatively connected to a regional monitoring module, a feedback statistics module, a factor evaluation module, an early warning analysis module and a database; The regional monitoring module is used to perform regional monitoring and analysis on the outdoor power distribution cabinet: the monitoring area of ​​the outdoor power distribution cabinet is divided into several monitoring areas, the outdoor power distribution cabinets in the monitoring area are marked as monitoring objects, a monitoring cycle is generated and the monitoring cycle is divided into several monitoring time periods, and the monitoring coefficient JC of the monitoring object is obtained at the end of the monitoring time period, and the monitoring coefficient JC is used to determine whether the operating status of the monitoring object in the monitoring time period is normal; The feedback statistics module is used to perform statistical analysis on the fault feedback data of the outdoor power distribution cabinet and obtain the feedback coefficient FK of the monitored object within the monitoring period; the feedback coefficient FK of all monitored objects in the monitoring area is sent to the factor evaluation module through the monitoring control platform; The factor evaluation module is used to evaluate and analyze the early warning influencing factors of the outdoor distribution cabinet: all the monitored objects in the monitoring area are arranged in order from small to large according to the feedback coefficient FK value to obtain a feedback sequence, the influencing factors are compared with the feedback sequence to obtain the monitoring compliance coefficient, environmental compliance coefficient and aging load coefficient of the monitoring area, the monitoring compliance coefficient, environmental compliance coefficient and aging load coefficient are numerically compared and the early warning factors are marked according to the comparison results; The early warning analysis module is used to perform fault prediction analysis on the outdoor power distribution cabinet according to early warning factors.

2. The outdoor power distribution cabinet fault monitoring and control system based on regionalized feedback according to claim 1 is characterized in that: The process of obtaining the monitoring coefficient JC of the monitored object includes: obtaining the flow variation data LY, pressure variation data YY and temperature variation data WY of the monitored object during the monitoring period; The monitoring coefficient JC of the monitored object during the monitoring period is obtained, where m1, m2 and m3 are all proportional coefficients, and m1>m2>m3>1.

3. The outdoor power distribution cabinet fault monitoring and control system based on regionalized feedback according to claim 2 is characterized in that: The process of acquiring flow deviation data LY includes: acquiring the current value of the monitored object in real time, calling the current standard range when the monitored object is running, marking the average value of the maximum and minimum values ​​in the current standard range as the current standard value, marking the absolute value of the difference between the current value and the current standard value as the flow deviation value of the monitored object, and marking the maximum value of the flow deviation value within the monitoring period as the flow deviation data LY of the monitored object; the process of acquiring pressure deviation data YY includes: acquiring the voltage value of the monitored object in real time, calling the voltage standard range when the monitored object is running, marking the average value of the maximum and minimum values ​​in the voltage standard range as the voltage standard value, marking the absolute value of the difference between the voltage value and the voltage standard value as the pressure deviation value, and marking the maximum value of the pressure deviation value within the monitoring period as the pressure deviation data YY of the monitored object; the temperature deviation data WY is the maximum value of the surface temperature value of the monitored object within the monitoring period.

4. The outdoor power distribution cabinet fault monitoring and control system based on regionalized feedback according to claim 3 is characterized in that: The specific process of determining whether the operating status of the monitored object during the monitoring period is normal includes: obtaining the monitoring threshold JCmax through the database, and comparing the monitoring coefficient JC of the monitored object during the monitoring period with the monitoring threshold JCmax: if the monitoring coefficient JC is less than the monitoring threshold JCmax, then it is determined that the operating status of the monitored object during the monitoring period is normal; if the monitoring coefficient JC is greater than or equal to the monitoring threshold JCmax, then it is determined that the operating status of the monitored object during the monitoring period is abnormal, and an abnormal operation signal is generated and sent to the mobile phone terminal of the manager through the monitoring control platform.

5. The outdoor power distribution cabinet fault monitoring and control system based on regionalized feedback according to claim 4 is characterized in that: The process of obtaining the feedback coefficient FK of the monitored object within the monitoring period includes: obtaining the fault data GZ and delay data YW of the monitored object in the monitoring area at the end of the monitoring period, the fault data GZ is the actual number of faults fed back by the monitored object within the monitoring period, and the delay data YW is the comprehensive time for processing all actual faults fed back by the monitored object within the monitoring period; the feedback coefficient FK of the monitored object within the monitoring period is obtained by the formula FK=a1*GZ+a2*YW, wherein a1 and a2 are both proportional coefficients, and a1>a2>1.

6. The outdoor power distribution cabinet fault monitoring and control system based on regionalized feedback according to claim 5 is characterized in that: The process of obtaining the monitoring compliance coefficient includes: at the end of the monitoring cycle, the monitoring coefficient JC of the monitored object in all monitoring periods is summed and averaged to obtain the monitoring performance value, all the monitored objects in the monitoring area are arranged in the order of the monitoring performance value from small to large to obtain the monitoring sequence, and the sequence number of the monitored object in the monitoring sequence and the feedback sequence is calculated to obtain the monitoring compliance coefficient; The external air temperature value of the monitored object is marked as the external temperature value, and the maximum external temperature value in the monitoring period is marked as the temperature display value. The temperature display values ​​of the monitored object in all monitoring periods are summed and averaged to obtain the environmental performance value. All monitored objects in the monitoring area are arranged in order from small to large according to the environmental performance value to obtain the environmental sequence. The sequence numbers of the monitored objects in the environmental sequence and the feedback sequence are numerically calculated to obtain the environmental compliance coefficient. The difference between the current system time and the commissioning time of the monitored object is marked as the aging value of the monitored object. All monitored objects in the monitoring area are arranged in order from small to large according to the aging value to obtain an aging sequence. The sequence number of the monitored object in the aging sequence and the feedback sequence is numerically calculated to obtain the aging load coefficient.

7. The outdoor power distribution cabinet fault monitoring and control system based on regionalized feedback according to claim 6 is characterized in that: The specific process of the early warning analysis module performing fault prediction analysis on the outdoor distribution cabinet includes: obtaining the early warning factors of the monitoring area in the previous monitoring cycle. When the early warning factors are marked as monitoring factors, the monitoring early warning value JY of the monitoring area is obtained and the fault early warning analysis is performed through the monitoring early warning value JY; when the early warning factors are marked as environmental factors, the environmental early warning value is obtained and the fault early warning analysis is performed through the environmental early warning value; when the early warning factors are marked as aging factors, the aging early warning value HY of the monitored object is obtained and the fault early warning analysis is performed through the aging early warning value HY.

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