An intelligent power management system for bus duct

Abstract

The present invention discloses an intelligent power management system for a bus duct, and relates to the field of intelligent power technology. According to information about the environment, operating status and aging status of the bus duct, a strategy update value is obtained through comprehensive analysis, and then a corresponding monitoring strategy is generated to realize intelligent monitoring and management of the bus duct. Compared with traditional regular inspection and maintenance methods, it has higher accuracy and efficiency, can effectively improve the safety and reliability of electrical equipment, reduce the occurrence of failures and damages, and save maintenance costs and human resources. By analyzing the operating status and aging status of the bus duct based on environmental information, appearance information and operating information of the environment in which the bus duct is located, an accurate aging status value and operating status value are obtained, which is helpful to timely detect the aging condition and operating condition of the bus duct, and take maintenance or replacement measures in advance to avoid possible failures and safety hazards, and improve the reliability and safety of power equipment.

Description

Technical Field

[0001] The present invention relates to the field of intelligent power technology, and in particular to an intelligent power management system for a bus duct. Background Art

[0002] The bus duct plays an important role in the power system. It is a key component for power transmission and distribution. During operation, the bus duct may be overloaded or short-circuited due to excessive load or electrical failure, which may lead to power system collapse or accidents. Therefore, it is very necessary to manage the power of the bus duct.

[0003] As time goes by, the bus duct will age or fail, resulting in a decrease in bus duct performance or failure to work properly. The current bus duct power management mainly relies on regular manual inspections to check whether the bus duct's appearance, insulation status, etc. are normal. For large-scale power systems, there are a large number of bus ducts, and the manpower and time costs required for each inspection are high. At the same time, this method cannot obtain bus duct anomalies in a timely manner, resulting in a certain delay in the discovery and handling of bus duct problems. Summary of the invention

[0004] Based on this, it is necessary to provide an intelligent power management system for bus duct in response to the problems mentioned in the above background technology.

[0005] The object of the present invention can be achieved by the following technical solutions: An intelligent power management system for bus ducts, comprising a dynamic perception module, a server, a monitoring management module and an intelligent management module;

[0006] The dynamic perception module conducts a comprehensive analysis based on the environment, operating status and aging status of the bus duct to determine whether to update the monitoring strategy, and monitors and manages the bus duct according to the updated monitoring strategy; the specific process is as follows:

[0007] 101: When receiving a collection instruction, the environment information of the bus duct, the appearance information of the bus duct and the operation information are obtained through each sensor device connected to the bus duct through communication, and the information is sent to the server for storage;

[0008] 102: Perform deviation analysis based on environmental information at different collection times and standard environmental parameters to obtain an environmental deviation value corresponding to each collection time, which is recorded as TWj;

[0009] 103: Taking the acquisition time as the horizontal coordinate and the environmental deviation value as the vertical coordinate, a graph of environmental deviation value changing with time is obtained, and a graphical quantitative analysis is performed based on the graph to obtain the degree of change between adjacent environmental deviation values; all the degrees of change are summed up to obtain an environmental fluctuation value recorded as U1;

[0010] 104: Obtain the corresponding aging status value and operating status value in the monitoring management module, and record them as Yb and LQ respectively; substitute Yb, LQ, TWj and U1 into the set formula Calculate to get the strategy update value Ua, where a3, a4, and a5 are the set proportional coefficients respectively; when the strategy update is greater than the set update threshold, the current monitoring interval is called and recorded as U2' and the strategy update value Ua' corresponding to the monitoring interval, and the set formula is used Calculate and obtain the latest monitoring interval U2, generate corresponding acquisition instructions according to the latest monitoring interval, and update it to step 1;

[0011] The monitoring and management module analyzes the aging status and operating status of the bus duct based on the environmental information of the environment in which the bus duct is located, the appearance information and the operating information of the bus duct to obtain the aging status value and the operating status value, and judges whether there is any abnormality in the bus duct based on this.

[0012] In some embodiments, the specific process of performing deviation analysis based on environmental information at different collection times and standard environmental parameters to obtain environmental deviation values ​​corresponding to each collection time is as follows:

[0013] Retrieve environmental information at different collection times, and record the ambient temperature and ambient humidity in the environmental information as Tj and Wj respectively; where j=1,2,3...J, J is a positive integer, J represents the total number of collection times, and j is the sequence number of any collection time; assume that there is a standard environmental parameter, where the standard environmental parameter includes standard ambient temperature and standard ambient humidity, and record them as HT and HW respectively, and use the set formula Calculation is performed to obtain the environmental deviation value TWj corresponding to each acquisition moment, where a1 and a2 are respectively set proportional coefficients, and e is a natural constant.

[0014] In some embodiments, the specific process of the graphic quantitative analysis is:

[0015] A two-dimensional rectangular coordinate system is constructed with the collection time as the horizontal coordinate and the environmental deviation value as the vertical coordinate, and a rectangle is constructed with a fixed value as the width and the environmental deviation value as the length; the rectangle is input into the coordinate system according to the corresponding collection time, and the upper midpoints of the rectangles are connected in sequence to obtain a graph of the environmental deviation value changing with time; two adjacent rectangles are taken and the lengths of the two adjacent rectangles are compared, and the rectangle with the longer length is taken as the basic rectangle, and a horizontal line is drawn from the upper midpoint of the basic rectangle to intersect with the other rectangle, and the shaded area is recorded as the adjacent difference area, and the area of ​​the adjacent difference area is calculated; the slope of the line segment formed by the upper midpoints of the two adjacent rectangles is calculated using the least squares method; the degree of change between the two adjacent rectangles is obtained by multiplying the area of ​​the adjacent difference area by the slope; all the degrees of change are summed up to obtain the environmental fluctuation value.

[0016] In some embodiments, the aging state analysis process of the bus duct is as follows:

[0017] Retrieve high-definition appearance images at different acquisition times, use a photo identifier to identify the corrosion position and the contour of the corrosion area in the high-definition appearance image, calculate the area of ​​the corrosion position according to the contour of the corrosion area, compare and analyze the corrosion area with the set area interval to divide the corrosion area into primary area, secondary area and tertiary area; count the number of primary area, secondary area and tertiary area respectively, and record them as Y1, Y2 and Y3 respectively; sum the primary area, secondary area and tertiary area respectively to obtain the primary corrosion value, secondary corrosion value and tertiary corrosion value, and record them as Y4, Y5 and Y6 respectively;

[0018] Get the usage time of the bus duct as Y7, and substitute it with Y1, Y2, Y3, Y4, Y5, and Y6 into the setting formula Calculation is performed to obtain the aging state value Yc, wherein c1, c2, c3, c4, and c5 are respectively set proportional coefficients.

[0019] In some embodiments, the operation status analysis process of the bus duct is as follows:

[0020] 501: Take any three-dimensional temperature model corresponding to a collection time, and amplify it to form several micro-regions, until there is only one RGB value in each region; identify the RGB value of each micro-region and record it as Rij, where i=1,2,3...I, I is a positive integer, I represents the total number of micro-regions, and i represents the sequence number of any micro-region; select the maximum RGB value and the minimum RGB value in each micro-region, and record them as Rmax and Rmin respectively; use the set formula Calculate to get the temperature coefficient Rbj corresponding to each acquisition moment, where b1 and b2 are the set proportional coefficients, and e is a natural constant. is the mean of the RGB values ​​of each micro-region in the three-dimensional temperature model corresponding to the j acquisition time;

[0021] 502: performing dispersion analysis on the RGB values ​​of each micro-region to obtain a temperature dispersion value, thereby obtaining a temperature dispersion value corresponding to each acquisition moment, and multiplying the temperature coefficient at the same acquisition moment by the temperature dispersion value to obtain a temperature gradient value corresponding to the acquisition moment, thereby obtaining a temperature gradient value corresponding to each acquisition moment;

[0022] 503: Take any current load value corresponding to a collection time as Lj, and substitute it, the rated current load value HL, the temperature gradient value RPj, and the aging state value Yc into the set formula Calculation is performed to obtain the bus duct operation abnormality index Lbj corresponding to each acquisition moment, wherein b7, b8, and b9 are respectively set proportional coefficients, and e is a natural constant; the bus duct operation abnormality index corresponding to each acquisition moment is analyzed in depth to obtain the operation status value;

[0023] 504: Compare and analyze the running status value with the set status range to generate a corresponding security policy.

[0024] In some embodiments, the specific process of performing dispersion analysis on the RGB values ​​of each micro-region to obtain the temperature dispersion value is as follows:

[0025] Compare and analyze the RGB value of each micro-area with the set color interval to distinguish the RGB values ​​as hot spot color value, warm spot color value and cold spot color value; count the numbers corresponding to the hot spot color value, warm spot color value and cold spot color value respectively, and record them as P1j, P2j and P3j respectively; sum the hot spot color value, warm spot color value and cold spot color value respectively to obtain the hot spot degree, warm spot degree and cold spot degree, and record them as P4j, P5j and P6j respectively;

[0026] Substitute P1j, P2j, P3j, P4j, P5j and P6j into the given formula Calculation is performed to obtain the temperature dispersion value Pbj, wherein b3, b4, b5, and b6 are respectively set proportional coefficients.

[0027] In some embodiments, the bus duct operation abnormality index corresponding to each acquisition time is analyzed in depth to obtain the operation status value, wherein the specific process of the in-depth analysis is:

[0028] A two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and the operation abnormality index as the vertical coordinate. The operation abnormality index is input into the coordinate system according to the corresponding collection time, and the position of the operation abnormality index in the coordinate system is recorded as the abnormal point. The abnormal points are connected in sequence with a smooth curve to obtain a curve chart of the operation abnormality index changing with time; a tangent line is drawn at the abnormal point, and the slope of the tangent line is calculated; the tangent slopes greater than zero are summed up to obtain the abnormal increase degree, which is recorded as q1, and the tangent slopes less than zero are summed up and averaged to obtain the abnormal reduction degree, which is recorded as q2;

[0029] Substitute the operation abnormality index Lbj, abnormal increase degree q1 and abnormal decrease degree q2 into the set formula The operation status value LQ of the bus duct is obtained by calculation, wherein d1 and d2 are respectively set proportional coefficients.

[0030] In some embodiments, the specific process of comparing and analyzing the running status value with the set status interval to generate the corresponding security policy is:

[0031] The operating status value is compared and analyzed with the set status interval. When the operating status value is greater than the maximum value in the set status interval, the bus duct replacement instruction will be sent to the corresponding maintenance engineer; when the replacement completion instruction value is received, the aging status value is updated to zero; when the operating status value is within the set status interval, a bus duct maintenance instruction is generated to the corresponding maintenance engineer; the updated aging status value and operating status value are sent to the dynamic perception module.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. Based on the information of the bus duct environment, operating status and aging status, the strategy update value is obtained through comprehensive analysis, and then the corresponding monitoring strategy is generated to realize the intelligent monitoring and management of the bus duct; compared with the traditional regular inspection and maintenance method, this intelligent monitoring and management method has higher accuracy and efficiency, can effectively improve the safety and reliability of electrical equipment, reduce the occurrence of failures and damage, and save maintenance costs and human resources;

[0034] 2. By analyzing the operating status and aging status of the bus duct based on the environmental information, appearance information and operating information of the environment in which the bus duct is located, an accurate aging status value and operating status value are obtained, which is helpful to timely detect the aging and operating status of the bus duct, take maintenance or replacement measures in advance to avoid possible failures and safety hazards, and improve the reliability and safety of power equipment;

[0035] In summary, the dynamic perception module and the monitoring and management module realize continuous monitoring and intelligent management of the status of the bus duct through remote monitoring and data collection of the bus duct, which greatly reduces labor costs, reduces delayed discovery of bus duct problems, and improves the sensitivity and accuracy of bus duct abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the conventional technology, the drawings required for use in the embodiments or the conventional technology descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 It is a principle block diagram of the present invention;

[0038] Figure 2 This is a graph showing how the environmental deviation value of the present invention changes over time. DETAILED DESCRIPTION

[0039] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0040] like Figure 1 As shown, an intelligent power management system for bus duct includes a dynamic sensing module, a server, a monitoring management module and an intelligent management module;

[0041] The dynamic perception module conducts a comprehensive analysis based on the environment, operating status and aging status of the bus duct to determine whether to update the monitoring strategy, and generates a corresponding monitoring strategy to achieve intelligent monitoring of the bus duct; specifically:

[0042] Step 1: The dynamic sensing module communicates with each sensor. When receiving a collection instruction, the dynamic sensing module collects the environment information, appearance information and operation information of the bus duct, and sends it to the server for storage;

[0043] Step 2: retrieve the environmental information at different collection times, and record the ambient temperature and ambient humidity in the environmental information as Tj and Wj respectively; where j=1,2,3...J, J is a positive integer, J represents the total number of collection times, and j is the sequence number of any collection time; set a standard environmental parameter, where the standard environmental parameter includes standard ambient temperature and standard ambient humidity, and record them as HT and HW respectively. It should be noted that under the standard environment, the environment in which the bus duct is located has a relatively small impact on the bus duct; use the set formula Calculate to get the environmental deviation value TWj corresponding to each acquisition time, where a1 and a2 are the set proportional coefficients, and e is a natural constant. It can be seen from the formula that when the ambient temperature and humidity are closer to the standard environmental parameters, the smaller the environmental deviation value is.

[0044] It should be noted that high temperature environment may cause overheating of bus duct and its connectors, increase the risk of failure and fire of electrical equipment, while low temperature environment may make the insulation material brittle, increase the possibility of breakage and damage; high humidity environment may increase the risk of insulation material getting damp, reduce insulation performance, and increase the possibility of leakage and short circuit; at the same time, long-term high humidity environment may also cause corrosion of metal parts in the bus duct;

[0045] Step 3: If Figure 2As shown, a two-dimensional rectangular coordinate system is constructed with the acquisition time as the horizontal coordinate and the environmental deviation value as the vertical coordinate, and a rectangle is constructed with a fixed value as the width and the environmental deviation value as the length, thereby obtaining a rectangle corresponding to each acquisition time, wherein the fixed value is 1cm, 3cm or 5cm, etc.; the rectangle is input into the coordinate system according to the corresponding acquisition time, and the upper midpoints of the rectangles are connected in sequence to obtain a graph of the environmental deviation value changing with time; two adjacent rectangles are taken and the lengths of the two adjacent rectangles are compared, and the rectangle with the longer length (environmental deviation value) is taken as the basic rectangle, and the horizontal line of the attack is drawn from the upper midpoint of the basic rectangle to intersect with the other rectangle, and the shaded area is recorded as the adjacent difference area, and the area of ​​the adjacent difference area is calculated; the slope of the line segment formed by the upper midpoints of the two adjacent rectangles is calculated by the least squares method; the area of ​​the adjacent difference area is multiplied by the slope to obtain the degree of change between the two adjacent rectangles; from the calculation process, it can be seen that when the slope is less than zero, the smaller the degree of change, the smaller the environmental deviation value; all the degrees of change are summed up to obtain the environmental fluctuation value recorded as U1;

[0046] Step 4: Obtain the corresponding aging status value and operating status value in the monitoring management module, and record them as Yb and LQ respectively; use the set formula Calculate to get the strategy update value Ua, where a3, a4, and a5 are the set proportional coefficients respectively; compare and analyze the strategy update value with the set update threshold. When the strategy update value is greater than the set update threshold, it means that the current environment of the bus duct has changed greatly, the aging state and operation state of the bus duct are poor, and the monitoring strategy needs to be updated to ensure that it is more in line with the actual environment; then call the current monitoring interval and record it as U2' and the strategy update value Ua' corresponding to the monitoring interval using the set formula Calculate and obtain the latest monitoring interval U2, generate corresponding acquisition instructions according to the latest monitoring interval, and update it to step 1;

[0047] Based on the information of the bus duct's environment, operating status and aging status, and through comprehensive analysis, the strategy update value is obtained, and then the corresponding monitoring strategy is generated to achieve intelligent monitoring and management of the bus duct. Compared with traditional regular inspections and maintenance methods, this intelligent monitoring and management method has higher accuracy and efficiency, and can effectively improve the safety and reliability of electrical equipment, reduce the occurrence of failures and damages, and save maintenance costs and human resources.

[0048] The monitoring and management module analyzes the operating status and aging status of the bus duct according to the environmental information of the environment in which the bus duct is located, the appearance information of the bus duct and the operating information to obtain the operating status value and the aging status value, and judges whether the bus duct is abnormal based on this; specifically:

[0049] Aging status analysis: retrieve high-definition appearance images at different acquisition times, use the photo identifier to identify the corrosion position and corrosion area contour in the high-definition appearance image, and calculate the area of ​​the corrosion position based on the corrosion area contour. Compare and analyze the corrosion area with the set area interval. When the corrosion area is greater than the maximum value in the set area interval, the corrosion area is recorded as the first-level area; when the corrosion area is within the set area interval, the corrosion area is recorded as the second-level area; when the corrosion area is less than the minimum value in the set area interval, the corrosion area is recorded as the third-level area; count the number of first-level areas, second-level areas, and third-level areas, and record them as Y1, Y2, and Y3 respectively; sum the first-level area, second-level area, and third-level area to obtain the first-level corrosion value, second-level corrosion value, and third-level corrosion value, and record them as Y4, Y5, and Y6 respectively; obtain the service life of the bus duct as Y7, and use the set formula Calculation is performed to obtain the aging state value Yc, where c1, c2, c3, c4, and c5 are respectively set proportional coefficients;

[0050] Operation status analysis: retrieve operation information at different acquisition times, including 3D temperature model, current load and fault record; the 3D temperature model is to scan the bus duct with a 3D laser scanner to obtain a large amount of point cloud data, and establish a 3D model of the bus duct based on the point cloud data; then use an infrared thermal imager to scan the bus duct to obtain the RGB value representing the temperature of each part of the bus duct, and fill the RGB values ​​of each part obtained by the infrared thermal imaging instrument into the 3D model according to the corresponding part to obtain the 3D temperature model;

[0051] Take any three-dimensional temperature model corresponding to a collection time, and enlarge it to form several micro-regions, until there is only one RGB value in each region, identify the RGB value of each micro-region and record it as Rij, where i=1,2,3...I, I is a positive integer, I represents the total number of micro-regions, and i represents the serial number of any micro-region; select the maximum RGB value and the minimum RGB value in each micro-region, and record them as Rmax and Rmin respectively; use the set formula Calculate to get the temperature coefficient Rbj corresponding to each acquisition moment, where b1 and b2 are the set proportional coefficients, and e is a natural constant. is the mean of the RGB values ​​of each micro-region in the three-dimensional temperature model corresponding to the j acquisition time;

[0052] Compare and analyze the RGB value of each micro-area with the set color interval. When the RGB value is greater than the maximum value in the set color interval, the RGB value is recorded as the hot spot color value; when the RGB value is within the set color interval, the RGB value is recorded as the warm spot color value; when the RGB value is less than the set color interval, the RGB value is recorded as the cold spot color value; count the corresponding numbers of hot spot color values, warm spot color values ​​and cold spot color values ​​respectively, and record them as P1j, P2j and P3j respectively; sum the hot spot color values, warm spot color values ​​and cold spot color values ​​respectively to obtain the hot spot degree, warm spot degree and cold spot degree, and record them as P4j, P5j and P6j respectively; use the set formula Calculate to obtain the temperature dispersion value Pbj, where b3, b4, b5, and b6 are the set proportional coefficients respectively; multiply the temperature coefficient by the temperature dispersion value to obtain the temperature gradient value, and thus the temperature gradient value corresponding to each acquisition moment can be obtained and recorded as RPj;

[0053] It should be noted that the larger the temperature gradient value, the more uneven the temperature distribution of the bus duct. Uneven temperature distribution will lead to excessively high local temperatures and form hot spots, thereby reducing the insulation performance of the bus duct and increasing the risk of overheating and damage to electrical equipment.

[0054] Take any current load value corresponding to a collection time and record it as Lj; set a rated current load value as HL, where the rated current load value refers to the maximum current load value at which the bus duct can operate stably; use the set formula Calculation is performed to obtain the bus duct operation abnormality index Lbj corresponding to each acquisition time, where b7, b8, and b9 are respectively set proportional coefficients, and e is a natural constant; a two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and the operation abnormality index as the vertical coordinate, the operation abnormality index is input into the coordinate system according to the corresponding acquisition time, and the position of the operation abnormality index in the coordinate system is recorded as the abnormal point, and a smooth curve is used to connect the abnormal points in sequence to obtain a curve of the operation abnormality index changing with time; a tangent line is drawn at the abnormal point, and the slope of the tangent line is calculated; the tangent slopes greater than zero are summed up to obtain the abnormal increase degree, which is recorded as q1, and the tangent slopes less than zero are summed up and averaged to obtain the abnormal reduction degree, which is recorded as q2; using the set formula The operation status value LQ of the bus duct is obtained by calculation, wherein d1 and d2 are respectively the set proportional coefficients;

[0055] Compare and analyze the operating status value with the set status interval. When the operating status value is greater than the maximum value in the set status interval, it means that there is a greater safety risk in the bus duct. Then, a bus duct replacement instruction will be sent to the corresponding maintenance engineer to replace the bus duct in time. When the replacement completion instruction value is received, the aging status value is updated to zero; when the operating status value is within the set status interval, a bus duct maintenance instruction is generated to the corresponding maintenance engineer to maintain the bus duct in time; when the operating status value is less than the minimum value in the set status interval, no operation is required;

[0056] Sending the updated aging status value and operating status value to the dynamic sensing module;

[0057] The above-mentioned proportional coefficients are all reasonably set by technicians in this field according to actual conditions;

[0058] By analyzing the operating status and aging status of the bus duct based on the environmental information, appearance information and operating information of the environment in which the bus duct is located, an accurate aging status value and operating status value are obtained, which helps to timely detect the aging and operating conditions of the bus duct, take maintenance or replacement measures in advance to avoid possible failures and safety hazards, and improve the reliability and safety of power equipment.

[0059] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0060] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An intelligent power management system for bus duct, characterized in that: Including dynamic perception module and monitoring management module; The dynamic perception module conducts a comprehensive analysis based on the environment, operating status and aging status of the bus duct to determine whether to update the monitoring strategy, and monitors and manages the bus duct according to the updated monitoring strategy; the specific process is as follows: 101: When receiving a collection instruction, the environment information of the bus duct, the appearance information of the bus duct and the operation information are obtained through each sensor device connected to the bus duct through communication, and the information is sent to the server for storage; 102: Perform deviation analysis based on environmental information at different collection times and standard environmental parameters to obtain environmental deviation values ​​corresponding to each collection time; 103: Taking the collection time as the horizontal coordinate and the environmental deviation value as the vertical coordinate, a graph of environmental deviation value changing over time is obtained, and a graphical quantitative analysis is performed based on the graph to obtain the degree of change between adjacent environmental deviation values; all the degrees of change are summed up to obtain the environmental fluctuation value; 104: Obtain the corresponding aging status value and operating status value in the monitoring management module, and normalize them with the environmental deviation value and the environmental fluctuation value to obtain their values, and analyze the values ​​to obtain the strategy update value Ua; when the strategy update is greater than the set update threshold, the current monitoring interval is called and recorded as U2' and the strategy update value Ua' corresponding to the monitoring interval, and the set formula is used Calculate and obtain the latest monitoring interval U2, generate corresponding collection instructions according to the latest monitoring interval, and update it to 101; The monitoring and management module analyzes the aging status and operating status of the bus duct based on the environmental information of the environment in which the bus duct is located, the appearance information and the operating information of the bus duct to obtain the aging status value and the operating status value, and judges whether there is any abnormality in the bus duct based on this.

2. The intelligent power management system for bus duct according to claim 1, characterized in that: The specific process of performing deviation analysis based on environmental information at different collection times and standard environmental parameters to obtain the environmental deviation value corresponding to each collection time is as follows: Retrieve environmental information at different collection times, and record the ambient temperature and ambient humidity in the environmental information as Tj and Wj respectively; where j=1, 2, 3...J, J represents the total number of collection times, and j is the sequence number of any collection time; assume that there is a standard environmental parameter, where the standard environmental parameter includes standard ambient temperature and standard ambient humidity, and record them as HT and HW respectively, and use the set formula Calculation is performed to obtain the environmental deviation value TWj corresponding to each acquisition moment, where a1 and a2 are respectively set proportional coefficients, and e is a natural constant.

3. The intelligent power management system for bus duct according to claim 2, characterized in that: The specific process of graphic quantitative analysis is as follows: A two-dimensional rectangular coordinate system is constructed with the collection time as the horizontal coordinate and the environmental deviation value as the vertical coordinate, and a rectangle is constructed with a fixed value as the width and the environmental deviation value as the length; the rectangle is input into the coordinate system according to the corresponding collection time, and the upper midpoints of the rectangles are connected in sequence to obtain a graph of the environmental deviation value changing with time; two adjacent rectangles are taken and the lengths of the two adjacent rectangles are compared, and the rectangle with the longer length is taken as the basic rectangle, and a horizontal line is drawn from the upper midpoint of the basic rectangle to intersect with the other rectangle, and the shaded area is recorded as the adjacent difference area, and the area of ​​the adjacent difference area is calculated; the slope of the line segment formed by the upper midpoints of the two adjacent rectangles is calculated using the least squares method; the degree of change between the two adjacent rectangles is obtained by multiplying the area of ​​the adjacent difference area by the slope; all the degrees of change are summed up to obtain the environmental fluctuation value.

4. The intelligent power management system for bus duct according to claim 1, characterized in that: The aging status analysis process of bus duct is as follows: Retrieve high-definition appearance images at different acquisition times, use a photo identifier to identify the corrosion position and the contour of the corrosion area in the high-definition appearance image, calculate the area of ​​the corrosion position according to the contour of the corrosion area, compare and analyze the corrosion area with the set area interval to divide the corrosion area into primary area, secondary area and tertiary area; count the number of primary area, secondary area and tertiary area respectively, and sum the primary area, secondary area and tertiary area to obtain the primary corrosion value, secondary corrosion value and tertiary corrosion value respectively; The service life of the bus duct is obtained and recorded as Y7, and the aging status value is obtained by formulating and analyzing it with the number of primary areas, the number of secondary areas, the number of tertiary areas, the primary corrosion value, the secondary corrosion value and the tertiary corrosion value.

5. The intelligent power management system for bus duct according to claim 4, characterized in that: The operation status analysis process of bus duct is as follows: 501: randomly select a three-dimensional temperature model corresponding to a collection time, and amplify it to form a plurality of micro-regions, until there is only one RGB value in each region; identify the RGB value of each micro-region, and perform formula calculation and analysis to obtain a temperature coefficient, thereby obtaining the temperature coefficient corresponding to each collection time; 502: performing dispersion analysis on the RGB values ​​of each micro-region to obtain a temperature dispersion value, thereby obtaining a temperature dispersion value corresponding to each acquisition moment, and multiplying the temperature coefficient at the same acquisition moment by the temperature dispersion value to obtain a temperature gradient value corresponding to the acquisition moment, thereby obtaining a temperature gradient value corresponding to each acquisition moment; 503: randomly select a current load value corresponding to a collection time, and perform a formula calculation and analysis on the current load value, the rated current load value, the temperature gradient value, and the aging state value to obtain a bus duct operation abnormality index corresponding to each collection time; perform a deep analysis on the bus duct operation abnormality index corresponding to each collection time to obtain an operation state value; 504: Compare and analyze the running status value with the set status range to generate a corresponding security policy.

6. The intelligent power management system for bus duct according to claim 5, characterized in that: The specific process of performing dispersion analysis on the RGB values ​​of each micro-region to obtain the temperature dispersion value is as follows: Compare and analyze the RGB value of each micro-area with the set color interval to convert the RGB value into a hot spot color value, a warm spot color value, and a cold spot color value; count the number of hot spot color values, warm spot color values, and cold spot color values, respectively, and sum the hot spot color values, warm spot color values, and cold spot color values ​​to obtain the hot spot degree, warm spot degree, and cold spot degree; The temperature dispersion value is obtained by formulating and analyzing the number corresponding to the hot spot color value, the number corresponding to the warm spot color value, the number corresponding to the cold spot color value, the hot spot degree, the warm spot degree and the cold spot degree.

7. The intelligent power management system for bus duct according to claim 5, characterized in that: The bus duct operation abnormality index corresponding to each acquisition time is deeply analyzed to obtain the operation status value, wherein the specific process of the in-depth analysis is as follows: A two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and the operation abnormality index as the vertical coordinate. The operation abnormality index is input into the coordinate system according to the corresponding collection time, and the position of the operation abnormality index in the coordinate system is recorded as the abnormal point. The abnormal points are connected in sequence with a smooth curve to obtain a curve chart of the operation abnormality index changing with time; a tangent line is drawn at the abnormal point, and the slope of the tangent line is calculated; the tangent slopes greater than zero are summed up to obtain the abnormal increase degree, and the tangent slopes less than zero are summed up and averaged to obtain the abnormal reduction degree; The operation abnormality index, abnormal increase degree and abnormal decrease degree are calculated and analyzed in a formulaic manner to obtain the operation status value of the bus duct.

8. The intelligent power management system for bus duct according to claim 5, characterized in that: The specific process of comparing and analyzing the running status value with the set status interval to generate the corresponding security policy is as follows: The operating status value is compared and analyzed with the set status interval. When the operating status value is greater than the maximum value in the set status interval, the bus duct replacement instruction will be sent to the corresponding maintenance engineer; when the replacement completion instruction value is received, the aging status value is updated to zero; when the operating status value is within the set status interval, a bus duct maintenance instruction is generated to the corresponding maintenance engineer; the updated aging status value and operating status value are sent to the dynamic perception module.

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