Inspection control system based on inspection robot in power distribution room

Abstract

The present invention relates to the field of distribution room inspection technology, specifically to an inspection control system based on a distribution room inspection robot; the system comprises: a server, an inspection analysis module and an inspection control module; the inspection analysis module obtains monitoring index values ​​by real-time monitoring and comprehensive analysis of each distribution room, equipment in the distribution room and the environment in which it is located; a trend curve is drawn by a time series analysis method to generate monitoring index values ​​versus time, and the curve is graphically analyzed to effectively determine the inspection priority of the distribution room; the inspection control module analyzes the inspection values ​​of each distribution room and the historical maintenance records and historical inspection times of each inspection robot, so as to fully understand the operating stability and inspection work efficiency of the inspection robot; the inspection robot tasks can be updated in real time according to the matching value of the inspection robot and the current number of tasks, so as to ensure that each robot has a balanced load and give priority to high-risk distribution room inspection tasks.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution room inspection, and in particular to an inspection control system based on a power distribution room inspection robot. Background Art

[0002] Large factories (such as large power plants and large coal plants) have large plant areas, a large number of equipment, and high power demand. In order to meet the power supply and equipment operation needs, multiple distribution rooms are usually set up; the distribution room distributes the power from the main distribution system to different areas or equipment in the plant to ensure that each area and equipment can obtain a stable power supply; due to the large number of distribution rooms in the plant area, the wide distribution range, and the fact that the distribution rooms are generally small (compared to adults), manual inspection will greatly reduce the inspection efficiency; therefore, the distribution room inspection robot came into being, which can automatically complete the regular inspection tasks of the distribution room, greatly improving the inspection efficiency compared to manual inspection;

[0003] When there are many distribution rooms in a factory, a single robot cannot cover all areas. Therefore, large factories usually set up multiple inspection robots for inspection. However, most inspection robots rely on preset inspection paths and tasks, lack collaborative working capabilities, and cannot optimize inspection work through task allocation, load balancing, etc., which increases overall inspection time and resource waste; and they cannot detect potential risks in a timely manner, resulting in low inspection efficiency. Summary of the invention

[0004] The purpose of the present invention is to provide an inspection control system based on a distribution room inspection robot to solve the problems mentioned in the above background technology.

[0005] The object of the present invention can be achieved through the following technical solutions: an inspection control system based on an inspection robot in a power distribution room, comprising: a server, an inspection analysis module and an inspection control module;

[0006] The server communicates with various sensors to obtain electrical data of each distribution room, equipment connected to each distribution room and equipment data corresponding to each equipment, and environmental data of the environment in which each distribution room is located;

[0007] The inspection and analysis module monitors and analyzes the electrical data of the distribution room, the environmental data of the distribution room, and the equipment data of the equipment connected to the power supply in the distribution room to obtain the electrical operation value GPi, environmental interference factor YUi and equipment risk index at each collection time. , and substitute it into the set formula Calculate and obtain the monitoring index value CPi of the distribution room at each collection time, where β3 and β4 are the set weight coefficients respectively; construct a two-dimensional rectangular coordinate system with time as the horizontal coordinate and the monitoring index value as the vertical coordinate, plot the monitoring index value on the coordinate axis according to its corresponding collection time to obtain several monitoring points, use a smooth curve to connect each monitoring point in turn to obtain a curve chart of the monitoring index value changing with time, perform graphical analysis on it to obtain the inspection value of each distribution room, and send it to the inspection control module;

[0008] The inspection control module performs inspection control and inspection tracking based on the inspection values ​​of each distribution room, specifically:

[0009] Step 1: retrieve the inspection values ​​of each distribution room, and sort the distribution rooms in descending order according to their corresponding inspection values, and select the distribution room with the largest inspection value as the calibration distribution room;

[0010] Step 2: Obtain the historical maintenance times of each inspection robot and the corresponding maintenance time of each maintenance; calculate the interval between two adjacent maintenances, and calculate the average of the maintenance intervals; calculate the average of the maintenance time of each maintenance to obtain the average maintenance time; normalize the average maintenance interval and the average maintenance time and take their values, perform weighted calculation on the values ​​to obtain the historical risk value of the inspection robot, and record it as B1;

[0011] Step 3: Obtain the historical inspection times of the inspection robot and the inspection distance, distance duration, inspection duration and inspection value corresponding to each inspection point, and perform inspection efficiency analysis based on the obtained inspection efficiency average, which is recorded as B2;

[0012] Step 4: Get the current position of the inspection robot, and calculate the distance between it and the calibrated power distribution room to obtain the distance between the two, and record it as B3;

[0013] Get the number of inspection robots to be inspected and record it as B4; through the set formula The matching value Bγ of the inspection robot is obtained by calculation, and γ1, γ2, γ3, and γ4 are the set weight coefficients respectively; thus, the matching value of each inspection robot can be obtained; the inspection robot with the largest matching value is selected as the calibration robot, and the inspection task of the calibration distribution room is assigned to the calibration robot, thus, the number of calibration robots to be inspected increases by one;

[0014] Step 5: Count the number of inspections to be conducted by each inspection robot, and sort the power distribution rooms to be inspected in descending order according to their corresponding inspection values. The inspection robots inspect one by one in this order. Whenever the inspection robot completes the inspection task of a power distribution room, the corresponding number of inspections to be conducted is reduced by one, and an inspection record is generated, wherein the inspection record includes the inspection distance, distance duration, and inspection duration.

[0015] Step 6: Obtain the factory map. Based on the inspection completion status of each inspection robot, the distribution rooms that have completed the inspection will be displayed in green, and the distribution rooms that have not completed the inspection will be displayed in red. The position of each inspection robot will be updated in real time for visual display.

[0016] Preferably, the process of inspection efficiency analysis is as follows:

[0017] The inspection distance refers to the distance traveled from the previous inspection point (i.e. the inspection ended at the previous inspection point) to the next inspection point, and the time used in the meantime is the distance time; the inspection time is the time used from reaching the inspection point to completing the inspection task at that inspection point; the inspection distance is divided by the distance time to get the inspection speed, and the inspection value is divided by the inspection time to get the inspection efficiency value, thus the inspection speed and inspection efficiency value corresponding to each inspection can be obtained, which are normalized and taken as the numerical value, and the numerical value is weighted to obtain the efficiency index corresponding to each inspection; the efficiency index corresponding to each inspection is averaged to obtain the average inspection efficiency.

[0018] Preferably, the specific process of monitoring and analyzing the electrical data of the power distribution room is as follows:

[0019] Retrieve the electrical data corresponding to each distribution room at each collection time, where the electrical data includes power supply value, load value, and frequency, and record them as Gi, Fi, and Pi respectively, where i=1,2,3...I, I is a positive integer, I represents the total number of collection times, and i represents the sequence number of any collection time; assume that each distribution room has a standard distribution frequency denoted as HP, and its fluctuation is Changshu K, where K is a natural number; by using the set formula The electrical operation value GPi is calculated, where β1 and β2 are the set weight coefficients respectively; When the difference is not between ±K, a1 takes the value of 1. At this time, the frequency is not within the safe range, and the electrical operation value is smaller; when When the difference is between ±K, a1 takes the value of zero. At this time, the frequency is within the safe range, and the larger the electrical operation value; when the load value and the power supply value are closer, it means that the power supply and load demand are more matched, and the electrical operation value is larger.

[0020] Preferably, the process of monitoring and analyzing the environmental data of the environment in which the power distribution room is located is as follows:

[0021] Retrieve the environmental data of the environment in which each distribution room is located, where the environmental data includes ambient temperature, ambient humidity and dust concentration, and record them as Yi, Ui and Ci respectively;

[0022] It is assumed that each distribution room has a standard ambient temperature and standard ambient humidity, which are recorded as HY and HU respectively; using the set formula The environmental interference factor YUi is calculated, where α4, α5, and α6 are the set weight coefficients respectively; when Yi and Ui are larger, the environmental interference factor is larger; when the dust concentration is larger, the environmental interference factor is larger.

[0023] Preferably, the process of monitoring and analyzing the equipment data of the equipment connected to the power distribution room is as follows:

[0024] Retrieve several devices associated with the power distribution room, set a production importance coefficient for each device; compare each device in the power distribution room with all the set devices to match the corresponding production importance coefficient, and record it as Sj, where j=1,2,3...J, J is a positive integer, J represents the total number of devices connected in the power distribution room, and j represents the serial number of any device;

[0025] Retrieve the equipment data of each device in the power distribution room at each collection time, where the equipment data includes equipment load rate, equipment temperature and equipment noise intensity value, and record them as Fi, Di and Qi respectively;

[0026] It is assumed that each device has a standard load rate interval and a standard temperature interval, and they are recorded as [R1, R2] and [L1, L2] respectively; the device load rate and device temperature of each device at each collection time are calculated with the standard load rate interval and the standard temperature interval to obtain the load rate interval and temperature interval at each collection time, and they are recorded as AFi and ADi respectively; the formula group for interval distance calculation is and ;

[0027] By setting the formula The comprehensive merit value FDij of each device at each acquisition time is calculated, where α1, α2, and α3 are the set weight coefficients respectively; the comprehensive merit value of each device in the distribution room is averaged to obtain the equipment risk index of the distribution room, and it is recorded as .

[0028] Preferably, the process of graphically analyzing the curve graph of the monitoring indicator value changing over time is as follows:

[0029] The coordinates of each monitoring point can be obtained by the curve of the monitoring index value changing with time as (i, CPi); the interval between two adjacent collection times is calculated and recorded as ; Using the set formula Calculate the change trend value ;

[0030] The change trend value and monitoring index value are calculated by the set formula The patrol value VC is calculated and the patrol value of each power distribution room in the factory area is obtained and sent to the patrol control module.

[0031] Beneficial effects of the present invention:

[0032] 1. The inspection analysis module performs real-time monitoring and comprehensive analysis on each distribution room, the equipment in the distribution room and the environment in which it is located, calculates the equipment risk index, environmental interference factor and electrical operation value respectively, and conducts comprehensive analysis on them to obtain the monitoring index value; through the time series analysis method, it generates a trend curve of the monitoring index value over time, and performs graphical analysis on the curve to effectively determine the inspection priority of the distribution room (i.e. the inspection value, the larger the inspection value, the higher the priority); based on time series monitoring and analysis, it can discover potential problems of equipment or environment in advance, help take preventive measures in time, and avoid safety hazards caused by equipment failure or environmental deterioration; in addition, this analysis method provides accurate data support for the intelligent inspection control of the distribution room, improving the inspection efficiency and risk prevention and control capabilities;

[0033] 2. The inspection control module analyzes the inspection values ​​of each distribution room and the historical maintenance records and inspection times of each inspection robot, and can fully understand the operation stability and inspection efficiency of the inspection robot; according to the matching value of the inspection robot and the current number of tasks, it can update the inspection robot tasks in real time to ensure that each robot has a balanced load and give priority to the inspection tasks of the distribution room with high risks; realize the collaborative work of each inspection robot, maximize the inspection efficiency, and promptly discover potential risks to ensure the safe operation of each distribution room in the factory;

[0034] 3. By updating the completion status of the distribution room and the location of the inspection robot in real time and visually displaying them on the plant map, this real-time visual management function makes it easy for operation and maintenance personnel to quickly understand the inspection progress and adjust strategies in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Figure 1 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0038] See also Figure 1 As shown, the present invention is an inspection control system based on a distribution room inspection robot, comprising: a server, an inspection analysis module and an inspection control module;

[0039] The server communicates with various sensors to obtain electrical data of each distribution room, equipment connected to each distribution room and equipment data corresponding to each equipment, and environmental data of the environment in which each distribution room is located;

[0040] The inspection analysis module conducts comprehensive analysis and judgment based on the electrical data of each distribution room to determine the inspection priority of each distribution room, specifically:

[0041] Retrieve several devices associated with the power distribution room, and set a production importance coefficient for each device (the specific production importance coefficient is set by the personnel in this field according to the actual production needs of the factory. For example, the corresponding production importance coefficient of a large pump that provides power is relatively large; the corresponding production importance coefficient of the equipment that provides lighting and ventilation is relatively small); compare each device in the power distribution room with all the set devices to match the corresponding production importance coefficient, and record it as Sj, where j=1,2,3...J, J is a positive integer, J represents the total number of devices connected in the power distribution room, and j represents the serial number of any device among them;

[0042] Retrieve the equipment data of each device in the power distribution room at each collection moment, where the equipment data includes equipment load rate, equipment temperature and equipment noise intensity value, and record them as Fi, Di and Qi respectively, where i=1,2,3...I, I is a positive integer, I represents the total number of collection moments, and i represents the sequence number of any collection moment; it should be noted that the equipment load rate is the percentage obtained by dividing the real-time power of the equipment by the rated power. It is generally believed that the equipment load of 70%-80% is the ideal working range of the equipment. Within this range, the equipment can operate effectively while maintaining good energy efficiency and low wear; when the equipment load rate reaches 90% or higher, it is generally considered to be close to or at full load. At this time, the equipment is operating at the limit of its rated power, and the risk of performance degradation, overheating, increased wear and other problems is aggravated. Different types of specific equipment (such as motors, pumps, compressors, etc.) have different load rate standards and operation recommendations;

[0043] It is assumed that each device has a standard load rate interval and a standard temperature interval, and they are recorded as [R1, R2] and [L1, L2] respectively; for example, the standard load interval of a certain device is 75%-85%, which means that when the device works within this load range, it can ensure efficient operation without being subjected to excessive load pressure; the standard temperature interval is 25-35℃, which means that within this temperature range, the device can work stably. If the temperature exceeds this range, it may indicate problems such as device overload or insufficient cooling system; the device load rate and device temperature of each device at each collection time are calculated with the standard load rate interval and standard temperature interval to obtain the load rate interval and temperature interval at each collection time, and they are recorded as AFi and ADi respectively; the formula group for interval distance calculation is and ;

[0044] Using the set formula The comprehensive merit value FDij of each device at each acquisition time is calculated, where α1, α2, and α3 are the set weight coefficients respectively; the more important the equipment is to production and the greater the production importance coefficient is, the greater the comprehensive merit value is; the more the equipment deviates from the standard load rate range and the standard temperature range during operation, the greater the risk of equipment abnormality is, and the greater the comprehensive merit value is; the comprehensive merit value of each device in the distribution room is averaged to obtain the equipment risk index of the distribution room, and it is recorded as ;

[0045] Retrieve the environmental data of the environment in which each distribution room is located, including ambient temperature, ambient humidity and dust concentration (too high dust concentration will affect heat dissipation and insulation performance, increasing the risk of fire), and record them as Yi, Ui and Ci respectively; it should be noted that due to the differences in the distribution locations of the distribution rooms, the corresponding environmental data will also be different; for example, some distribution rooms are distributed next to large equipment, which usually emits a lot of heat when running, causing the ambient temperature to rise; if the temperature is too high, it will accelerate the aging of the distribution equipment and increase the risk of failure; some distribution rooms are located next to humid areas and are easily invaded by moisture, affecting their insulation performance;

[0046] It is assumed that each distribution room has a standard ambient temperature and standard ambient humidity, and they are recorded as HY and HU respectively. It should be noted that when the ambient temperature and ambient humidity of the distribution room exceed the standard ambient temperature and standard ambient humidity, it means that the temperature and humidity of the distribution room will have a negative impact on the distribution room; using the set formula The environmental interference factor YUi is calculated, where α4, α5, and α6 are the set weight coefficients respectively; when Yi and Ui are larger, the environmental interference factor is larger; when the dust concentration is larger, the environmental interference factor is larger;

[0047] Retrieve the electrical data corresponding to each distribution room at each collection time, where the electrical data includes power supply value, load value, and frequency (abnormal frequency fluctuation indicates abnormal operation of the distribution room), and record them as Gi, Fi, and Pi respectively. It should be noted that the power supply value indicates the power provided by the distribution system to the equipment or load; the load value refers to the actual power demand of the equipment or system; the load value divided by the power supply value indicates the matching between power supply and demand; if the power supply value and the load value are close (the ratio is close to 1), it means that the power supply and load demand are more matched. If the power supply value is greater than the load value, the power supply is in excess; if it is less than the load value, the power supply is insufficient;

[0048] It is assumed that each power distribution room has a standard power distribution frequency denoted as HP, and its fluctuation is K, where K is a natural number. It should be noted that the power distribution frequency is usually maintained at 50Hz to 60Hz, and the specific value is determined by the power grid in the factory. In the actual production process, due to changes in load (such as equipment start or stop) and fluctuations in power generation, the power grid frequency may fluctuate slightly. As long as the fluctuation range is within the range of HP±K, it is considered to be a safe range. For example, if the standard power distribution frequency is 50Hz and the fluctuation K is 0.1, then a fluctuation range between 49.9Hz and 50.1Hz is normal.

[0049] Using the set formula The electrical operation value GPi is calculated, where β1 and β2 are the set weight coefficients respectively; When the difference is not between ±K, a1 takes the value of 1. At this time, the frequency is not within the safe range, and the electrical operation value is smaller; when When the difference is between ±K, a1 takes the value of zero. At this time, the frequency is within the safe range, and the larger the electrical operation value is; when the load value and the power supply value are closer, it means that the power supply and load demand are more matched, and the electrical operation value is larger;

[0050] The equipment risk index of the power distribution room , environmental interference factor YUi, electrical operation value GPi through the set formula The monitoring index value CPi of the distribution room at each collection time is calculated, where β3 and β4 are the set weight coefficients respectively; a two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and the monitoring index value as the vertical coordinate, and the monitoring index value is plotted on the coordinate axis according to the corresponding collection time to obtain several monitoring points, and the monitoring points are connected in sequence with a smooth curve to obtain a curve chart of the monitoring index value changing with time; thus, the coordinates of each monitoring point are marked as (i, CPi); the interval between two adjacent collection times is calculated and recorded as ; Using the set formula Calculate the change trend value , when the change trend value is greater than zero, it means that the monitoring index values ​​at two adjacent collection moments show an increasing trend; when the change trend value is less than zero, it means that the monitoring index values ​​at two adjacent collection moments show a decreasing trend;

[0051] The change trend value and monitoring index value are calculated by the set formula Calculate and obtain the patrol value VC; thereby obtain the patrol value of each power distribution room in the factory area and send it to the patrol control module;

[0052] By monitoring and analyzing each distribution room, the equipment in the distribution room, and the environment in which the distribution room is located, the equipment risk index, environmental interference factor, and electrical operation value are obtained, and the three are comprehensively analyzed to obtain the monitoring index value of the distribution room at each collection time. Based on this, a curve chart of the monitoring index value changing over time is established, and a graphical analysis is performed to determine the inspection priority of the distribution room (inspection value, that is, the larger the inspection value, the greater the priority of the distribution room); this time series-based analysis method can discover potential problems in advance, help take measures in advance, and prevent safety hazards caused by equipment failure or environmental factors; and provide data support for intelligent inspection control of distribution rooms.

[0053] The inspection control module performs collaborative inspection control on the inspection robot based on the inspection values ​​received from each distribution room to optimize the inspection work, maximize the inspection efficiency, and promptly discover potential risks to ensure the safe operation of each distribution room in the factory area; specifically:

[0054] Step 1: retrieve the inspection values ​​of each distribution room, and sort the distribution rooms in descending order according to their corresponding inspection values, and select the distribution room with the largest inspection value as the calibration distribution room;

[0055] Step 2: Obtain the historical maintenance times of each inspection robot and the corresponding maintenance time of each maintenance; calculate the interval time between two adjacent maintenances, and calculate the average maintenance interval length; it should be noted that the shorter the average maintenance interval length, the more frequent the failure of the inspection robot, and the greater the potential failure risk; calculate the average maintenance time of each maintenance to obtain the average maintenance time. It should be noted that, generally, the longer the maintenance time, the greater the degree of failure of the inspection robot; normalize the average maintenance interval length and the average maintenance length and take their values, perform weighted calculation on the values ​​to obtain the historical risk value of the inspection robot, and record it as B1;

[0056] Step 3: Obtain the historical inspection times of the inspection robot and the inspection distance, distance duration, inspection duration and inspection value corresponding to each inspection point; the inspection distance refers to the distance from the last inspection point (i.e., the inspection at the last inspection point ends) to the next inspection point, and the time used in the meantime is the distance duration; the inspection duration is the time taken from reaching the inspection point to completing the inspection task at the inspection point; the inspection distance is divided by the distance duration to obtain the inspection speed, and the inspection value is divided by the inspection duration to obtain the inspection efficiency value, thereby obtaining the inspection speed and inspection efficiency value corresponding to each inspection, normalizing them and taking their values, and weighting the values ​​to obtain the efficiency index corresponding to each inspection; the efficiency index corresponding to each inspection is averaged to obtain the inspection efficiency average, recorded as B2;

[0057] Step 4: Get the current position of the inspection robot, and calculate the distance between it and the calibrated power distribution room to obtain the distance between the two, which is recorded as B3;

[0058] Get the number of inspection robots to be inspected and record it as B4; use the set formula The matching value Bγ of the inspection robot is obtained by calculation, and γ1, γ2, γ3, and γ4 are the set weight coefficients respectively; thus, the matching value of each inspection robot can be obtained; the inspection robot with the largest matching value is selected as the calibration robot, and the inspection task of the calibration distribution room is assigned to the calibration robot, thus, the number of calibration robots to be inspected increases by one;

[0059] Step 5: Count the number of inspections to be conducted by each inspection robot, and sort the power distribution rooms to be inspected in descending order according to their corresponding inspection values. The inspection robots inspect one by one in this order. Whenever the inspection robot completes the inspection task of a power distribution room, the corresponding number of inspections to be conducted is reduced by one, and an inspection record is generated, wherein the inspection record includes the inspection distance, distance duration, and inspection duration.

[0060] Step 6: Obtain the plant map, and based on the inspection completion status of each inspection robot, display the distribution rooms that have completed the inspection in green, and the distribution rooms that have not completed the inspection in red, and update the position of each inspection robot in real time for visual display; by updating the completion status of the distribution room and the position of the inspection robot in real time, and visually displaying them on the plant map, this real-time visual management function allows operation and maintenance personnel to quickly understand the inspection progress and adjust strategies in a timely manner;

[0061] By analyzing the inspection values ​​of each distribution room and the historical maintenance records and historical inspection times of each inspection robot, we can fully understand the operating stability and inspection efficiency of the inspection robot; according to the matching value of the inspection robot and the current number of tasks, we can update the inspection robot tasks in real time to ensure that each robot is loaded evenly and give priority to high-risk distribution room inspection tasks; realize the coordinated work of each inspection robot, maximize the inspection efficiency, and promptly discover potential risks to ensure the safe operation of each distribution room in the factory.

[0062] 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.

Claims

1. The inspection control system based on the inspection robot in the power distribution room is characterized by: include: Inspection analysis module and inspection control module; The inspection and analysis module monitors and analyzes the electrical data of the distribution room, the environmental data of the environment in which the distribution room is located, and the equipment data of the equipment connected to the power supply in the distribution room to obtain the electrical operation value, environmental interference factor and equipment risk index at each collection time, and performs formula calculation and analysis to obtain the monitoring index value corresponding to each collection time; a two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and the monitoring index value as the vertical coordinate, and the monitoring index value is plotted on the coordinate axis according to its corresponding collection time to obtain a number of monitoring points, and a smooth curve is used to connect each monitoring point in turn to obtain a curve chart of the monitoring index value changing with time, and a graphical analysis is performed to obtain the inspection value of each distribution room, and it is sent to the inspection control module; The inspection control module performs inspection control and inspection tracking based on the inspection values ​​of each distribution room; The specific operation process of the inspection control module is as follows: Step 1: retrieve the inspection values ​​of each distribution room, and sort the distribution rooms in descending order according to their corresponding inspection values, and select the distribution room with the largest inspection value as the calibration distribution room; Step 2: Obtain the historical maintenance times of each inspection robot and the corresponding maintenance time of each maintenance; calculate the interval between two adjacent maintenances, and calculate the average maintenance interval length; calculate the average maintenance time of each maintenance to obtain the average maintenance length; normalize the average maintenance interval length and the average maintenance length and take their values, and perform weighted calculation on the values ​​to obtain the historical risk value of the inspection robot; Step 3: Obtain the historical inspection times of the inspection robot, the inspection distance, distance duration, inspection duration and inspection value corresponding to each inspection point, and perform inspection efficiency analysis based on the inspection efficiency to obtain the inspection efficiency mean; Step 4: Get the current position of the inspection robot, and calculate the distance between it and the calibration distribution room to get the distance between the two; get the number of inspections to be inspected by the inspection robot, and normalize it with the historical risk value, the mean inspection efficiency, and the distance and take their values, and analyze the values ​​to get the matching value of the inspection robot; thus, the matching value of each inspection robot can be obtained; select the inspection robot with the largest matching value as the calibration robot, and assign the inspection task of the calibration distribution room to the calibration robot, thus, the number of inspections to be inspected of the calibration robot increases by one; Step 5: Count the number of inspections to be conducted by each inspection robot, and sort the power distribution rooms to be inspected in descending order according to their corresponding inspection values. The inspection robots inspect one by one in this order. Whenever the inspection robot completes the inspection task of a power distribution room, the corresponding number of inspections to be conducted is reduced by one, and an inspection record is generated, wherein the inspection record includes the inspection distance, distance duration, and inspection duration. Step 6: Obtain the plant map, and based on the inspection completion status of each inspection robot, display the distribution rooms that have completed the inspection in green, and the distribution rooms that have not completed the inspection in red, and update the position of each inspection robot in real time for visual display; The specific process of inspection efficiency analysis is as follows: The inspection distance is divided by the distance duration to obtain the inspection speed, and the inspection value is divided by the inspection duration to obtain the inspection efficiency value. Thus, the inspection speed and inspection efficiency value corresponding to each inspection can be obtained. The values ​​are normalized and taken, and the values ​​are weighted to obtain the efficiency index corresponding to each inspection; the efficiency index corresponding to each inspection is averaged to obtain the average inspection efficiency.

2. The inspection control system based on the inspection robot in the power distribution room according to claim 1 is characterized in that: The specific process of monitoring and analyzing the electrical data of the distribution room is as follows: Retrieve the electrical data corresponding to each distribution room at each collection time, where the electrical data includes power supply value, load value and frequency; assume that each distribution room has a standard distribution frequency; normalize the power supply value, load value, frequency and standard distribution frequency and take their values, and analyze the values ​​to obtain the electrical operation value.

3. The inspection control system based on the inspection robot in the power distribution room according to claim 2 is characterized in that: The process of monitoring and analyzing the environmental data of the distribution room environment is as follows: The environmental data of the environment in which each distribution room is located is retrieved, wherein the environmental data includes the ambient temperature, ambient humidity and dust concentration; a standard ambient temperature and standard ambient humidity are set for each distribution room, and they are normalized with the ambient temperature, ambient humidity and dust concentration and their values ​​are taken, and the environmental interference factor is obtained by numerical analysis.

4. The inspection control system based on the inspection robot in the power distribution room according to claim 3 is characterized in that: The specific process of monitoring and analyzing the equipment data of the equipment connected to the power supply in the power distribution room is as follows: Retrieve several devices associated with the power distribution room, set a production importance coefficient for each device; compare each device in the power distribution room with all the set devices to match the corresponding production importance coefficient; Retrieve the equipment data of each device in the power distribution room at each collection time, where the equipment data includes equipment load rate, equipment temperature and equipment noise intensity value; set a standard load rate interval and standard temperature interval for each device; calculate the interval distance between the equipment load rate and equipment temperature of each device at each collection time and the standard load rate interval and standard temperature interval respectively to obtain the load rate interval and temperature interval at each collection time; The production important coefficient, load rate interval, temperature interval and equipment noise intensity value are normalized and taken as their numerical values, and the numerical analysis is performed to obtain the comprehensive excellence value of each equipment at each collection time; the comprehensive excellence value of each equipment in the distribution room is averaged to obtain the equipment risk index of the distribution room.

5. The inspection control system based on the inspection robot in the power distribution room according to claim 1 is characterized in that: The specific process of graphically analyzing the curve chart of monitoring indicator values ​​changing over time is as follows: The coordinates of each monitoring point can be obtained by the curve chart of the monitoring index value changing with time, and the interval between two adjacent collection moments can be calculated. The interval and the monitoring index value corresponding to the two adjacent collection moments can be analyzed by formula calculation to obtain the change trend value; The change trend value and the monitoring index value are calculated and analyzed by formulating, and the inspection value of each distribution room in the factory can be obtained and sent to the inspection control module.

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