Cable lean management and control method and platform based on one-stop display of maintenance information

Abstract

The cable lean management and control method and platform based on the one-stop display of maintenance information includes step 1: data collection, collecting cable load data, cable infrared temperature measurement data, ambient temperature, ambient humidity and cable rated voltage at the current and historical moments; step 2: data processing, building a database, matching and filling the cable real load data for the moment when the cable load data is missing; step 3: model construction, building a cable temperature prediction model; step 4: temperature prediction, calculating the predicted normal temperature of the cable at the current moment, and the predicted normal temperature range of the cable; step 5: defect judgment, comparing whether the infrared temperature measurement data of the cable at the current moment falls within the predicted normal temperature range of the cable; step 6: defect management, combining the power outage plan to complete the cable defect maintenance. The present invention realizes the deep intelligent arrangement of key information of cable maintenance, which can effectively assist the first-line maintenance of cable production to make accurate decisions and improve the quality and efficiency of work.

Description

Technical Field

[0001] The present invention belongs to the field of cable management and control platforms, and in particular relates to a cable lean management and control platform and method based on one-stop display of maintenance information. Background Art

[0002] The homepage of the existing cable lean management and control platform only records the progress of emergency repairs, and cannot reflect the overall picture of the maintenance work, including power outage plans, emergency repair management, maintenance defect management, live detection, technical transformation and overhaul site conditions, and cannot be modularly managed according to the on-site conditions. At the same time, with the increasing number of technical transformation and overhaul projects, the difficulty of work control at the technical transformation and overhaul site is increasing, and the power outage plan plays an important role in arranging production work. The existing platform does not have a power outage plan viewing module, and the information flow efficiency is not high. Therefore, when conducting maintenance, it cannot be viewed according to the area to be repaired, which makes it inconvenient for managers to manage the data in an orderly manner and perform corresponding processing based on the obtained data.

[0003] Prior art 1 (CN109740852A) discloses a method for managing power grid operation and inspection business based on information technology, and specifically discloses the following contents: After the plan is determined, it will be displayed by the operation and inspection control center through the control platform. If there is any adjustment on the scheduling side of the power outage or non-power outage plan, the operation and inspection control center will promptly publish the adjustment and notify the relevant business center. However, the shortcoming of prior art 1 is that: this technology only reflects the power outage plan, but the defect orders associated with the power outage plan need to be queried and operated on other platforms. Switching back and forth between different platforms requires a lot of time for comparison and confirmation, and it is also more likely to fail to dispatch orders or dispatch wrong orders due to human errors, and the work efficiency is not high.

[0004] Prior art 2 (CN112766674A) discloses an intelligent review system for substation technical transformation and overhaul projects based on three-dimensional GIS. The system architecture is a three-layer architecture logical framework based on a data layer, a service layer and an application layer. Specifically, the data layer divides the data into substation three-dimensional scene data and substation business application data according to the source of the business data; the service layer adopts a microservice architecture, and is divided into three-dimensional scene services and data interface services according to the service application scenario; the application layer adopts a modular structure, including three-dimensional scene basic applications and substation smart review applications. However, the shortcoming of prior art 2 is the lack of a suitable management module, and it cannot be rectified according to the projects that require technical transformation during maintenance. When there are updates to the on-site situation, it cannot be entered and notified in time.

[0005] In the power system, the working status of cables and their ancillary equipment directly affects the safe and stable operation of the power system. Traditional manual inspection methods make it difficult to detect abnormal cable temperatures in a timely manner, and abnormal temperatures are often a sign of early failure. Therefore, developing a system that can monitor the temperature of cables and their ancillary equipment in real time and intelligently determine whether they are normal is of great significance for preventing power accidents and ensuring the safe operation of the power system.

[0006] Therefore, it is necessary to propose a lean cable management and control method and platform based on one-stop display of maintenance information to solve the above problems. Summary of the invention

[0007] The main purpose of the present invention is to provide a cable lean management and control method and platform based on one-stop display of maintenance information, which can effectively solve the problems in the background technology.

[0008] To achieve the above object, the technical solution adopted by the present invention is:

[0009] The first aspect of the present invention provides a lean cable management and control method based on one-stop display of maintenance information, including:

[0010] Step 1: Data collection: collect the cable load data, cable infrared temperature measurement data, ambient temperature, ambient humidity and cable rated voltage at the current and historical times;

[0011] Step 2: Data processing, storing the data collected in step 1, building a database, matching the actual cable load data at the moment when the cable load data in the database is missing, and filling it;

[0012] Step 3: Model construction: Based on the database constructed in step 2, a cable temperature prediction model is constructed;

[0013] Step 4: Temperature prediction: based on the database processed in step 2 and the model constructed in step 3, the predicted normal temperature of the cable at the current moment is calculated; based on the predicted normal temperature of the cable at the current moment and the accuracy of the model, the predicted normal temperature range of the cable at the current moment is determined;

[0014] Step 5: Defect judgment: Based on the infrared temperature measurement data of the cable collected in step 1 and the predicted normal temperature range of the cable obtained in step 4, compare whether the infrared temperature measurement data of the cable at the current moment falls within the predicted normal temperature range of the cable. If it is within the range, it means that the cable is operating normally, and return to step 1; if it is not within the range, it means that the cable has defects, report the defect data, and go to step 6;

[0015] Step 6: Defect management. Based on the defect data reported in step 5 and combined with the power outage plan, formulate and implement a cable maintenance plan to complete the cable defect maintenance.

[0016] Preferably, in step 2, the real cable load data at the time when the cable load data is missing is matched by constructing a load vector at the time when the cable load data is missing;

[0017] The load vector formula when the cable load data is missing is:

[0018] ,

[0019] in, is the cable id, T is the time when the cable load data is missing, is the time Δt seconds before the cable load data is missing, is the time Δt seconds after the cable load data is missing, Δt is the set value, Load is the operation of obtaining the cable load, is the load vector when the cable load data is missing, stored arrive Load data between;

[0020] The matching formula for the real cable load data when the cable load data is missing is:

[0021] ,

[0022] in, To match the actual cable load data, is the load vector when the cable load data is missing, Calculated to take the middle value.

[0023] Preferably, in step 4, the formula for predicting the normal temperature of the cable at the current moment in the cable temperature prediction model is:

[0024] ,

[0025] in, T Predict the normal temperature of the cable at the current moment, A is the load factor, load is the cable load data at the current moment, B is the ambient temperature factor, temperature is the current ambient temperature, C is the environmental humidity factor, humidity is the current ambient humidity, D is the voltage level factor, voltage is the rated voltage of the cable, constant To correct the intercept.

[0026] Preferably, in step 4, the predicted normal temperature range of the cable at the current moment is [T min , T max ];

[0027] Among them, T min =T×95%,T max =T×105%,T min T is the lowest value of the normal temperature range predicted for the cable at the current moment. max is the maximum value of the normal temperature range predicted for the cable at the current moment, and T is the normal temperature predicted for the cable at the current moment.

[0028] Preferably, in step 6, in combination with the power outage plan for the day, week, month or custom time, the power outage lines, power outage periods and work contents are collected, and when formulating the maintenance plan, the lines where the defects are located are compared with the power outage plan. If there is a power outage in the maintenance area, a stop maintenance task is dispatched, and the maintenance task is processed after the power outage in the area is restored; based on the formulated maintenance plan, the defects are repaired, and combined with the on-site conditions of the technical transformation and overhaul, the construction progress is checked to complete the cable defect repair.

[0029] The second aspect of the present invention provides a cable lean management and control platform based on the cable lean management and control method of the one-stop display of maintenance information, including:

[0030] It includes a main control system; the main control system includes a visualization panel unit, and an information upload unit and an information management unit electrically connected to the visualization panel unit, the information upload unit is used to upload the collected cable data to the live detection subunit through wireless communication; the visualization panel unit includes a live detection subunit, a data transmission subunit, a comparison subunit, a defect judgment subunit and a defect management subunit; the live detection subunit is used to display cable-related data, and transmit the cable-related data to the comparison subunit and the defect judgment subunit through the data transmission subunit; the comparison subunit is used to implement the data processing of step 2, and transmit the processed complete cable real-time load data to the defect judgment subunit; the defect judgment subunit is used to implement the model construction, temperature prediction, and defect judgment of steps 3-5 based on the complete cable load data processed from the comparison subunit and the cable-related data obtained from the live detection subunit via the data transmission subunit; the defect management subunit is used to obtain defect information from the defect judgment subunit to implement the defect management of step 6.

[0031] Preferably, the live detection subunit includes an infrared temperature measurement data display module, a circulating current detection module, a ground resistance detection module and a high-frequency partial discharge module;

[0032] Among them, the infrared temperature measurement data display module is used to display the temperature detected by the infrared temperature measurement equipment;

[0033] The circulation detection module is used to display the circulation detection data;

[0034] The ground resistance detection module is used to display the data of ground resistance detection;

[0035] The high-frequency partial discharge module is used to display the data of high-frequency partial discharge detection.

[0036] Preferably, the defect management subunit includes a power outage plan subunit, a maintenance defect management subunit, an emergency repair management subunit and a technical transformation and overhaul site subunit;

[0037] The power outage plan subunit is used to receive and display power outage data and to formulate and display power outage plans; the maintenance defect management subunit is used to display the current number and content of various defects in real time and formulate cable maintenance plans; the technical transformation and overhaul site subunit is used to display photos taken at the technical transformation and overhaul site and manage construction quality; the emergency repair management subunit is used to display the progress of the current emergency repair line.

[0038] Preferably, the power outage plan subunit includes a time display module and an information display module; the time display module is used to display data for the current day, week, month and custom time; the information display module is used to display power outage lines, power outage periods and work content.

[0039] Preferably, the information management unit includes a permission management unit, an employee information entry unit, a login unit, an encryption unit and a setting unit;

[0040] The authority management unit is used to manage the authority of personnel accessing the main control system; the employee information entry unit and the login unit are used for the login operation of personnel accessing the main control system; the encryption unit is used to encrypt the manual information of the login unit, the control platform and the authority management unit, and the encryption unit uses a symmetric key algorithm for encryption;

[0041] The setting unit includes a time setting subunit, an information display setting subunit, a push list setting subunit and a time node reminder subunit; the time setting subunit is used to set the time displayed by the power outage plan subunit; the information display setting subunit is used to set the information displayed by the power outage plan subunit; the push list setting subunit is used to set the list pushed by the push subunit to the management and control platform; the time node reminder subunit is used to remind the node pushed by the push subunit;

[0042] The time setting subunit sets the time based on the power outage plan, and the information display setting subunit displays based on the time setting.

[0043] Preferably, the technical renovation and overhaul on-site subunit includes an intranet tablet data access module, an intranet tablet module and an intranet technical renovation and overhaul management module, the output end of the intranet tablet data access module is electrically connected to the intranet tablet module and the intranet technical renovation and overhaul management module, and the intranet technical renovation and overhaul management module includes a maintenance technical renovation project module, an input request module and a technical renovation project adding module;

[0044] The intranet tablet module is used to take photos of the site; the maintenance module is used to maintain the technical transformation projects; the entry request module is used to send requests for reserve project entry; the technical transformation project addition module is used to add technical transformation projects;

[0045] The intranet tablet module takes on-site photos based on a handheld tablet device. The technical transformation project maintenance module maintains the maintenance accuracy and defects of the current technical transformation project. The entry request module is based on the project entry request made by the management and control personnel through the encryption unit. The technical transformation project addition module is used to add the content required for the current technical transformation project.

[0046] Preferably, the maintenance defect management subunit includes a defect statistics module, a classification module, a grading module, a search port module, a database module and a file book generation module, the output end of the defect statistics module is electrically connected to the input ends of the classification module, the grading module and the search port module, and the output end of the search port module is electrically connected to the input ends of the file book generation module and the database module;

[0047] The classification module is used to classify the statistical defect content of the equipment. The grading module grades the defect degree based on the content classified by the classification module, including low, medium and high. The search port module retrieves the data of the maintenance defect management sub-unit based on the search engine. The file book generation module is used to generate the maintenance defect file book based on the data processed by the classification module and the grading module. The database module is used to store the generated defect file book.

[0048] Preferably, the setting unit further comprises a level setting subunit and a classification information setting subunit, the level setting subunit is used to set the level of the defect by the grading module, and the classification information setting subunit is used to set the classification of the defect by the classification module.

[0049] Compared with the prior art, the present invention provides a cable lean management and control platform and method based on one-stop display of maintenance information, which has the following beneficial effects:

[0050] 1. This cable lean management and control platform based on one-stop display of maintenance information focuses on major production links such as power outage maintenance, live detection, and defect handling. It aims to create easy-to-use and popularizable cable intelligent maintenance functions to address common problems that restrict the efficiency of maintenance management, and realizes in-depth intelligent organization of key cable maintenance information. Key cable maintenance information includes live electrical measurement information of cables, on-site information of technical transformation and overhaul, power outage plan information, and emergency repair management information. It self-classifies the information uploaded by the information upload unit, and users can view it directly on the visualization panel and manage the corresponding information based on the viewed data. It has the functions of real-time all-round update and vivid panoramic display, which can effectively assist the front-line cable production in making accurate maintenance decisions and improving the quality and efficiency of work.

[0051] 2. The cable lean management and control platform based on one-stop display of maintenance information provided by the present invention aims at the deficiency that the home page of the existing cable lean management and control platform only records the progress of emergency repairs and cannot reflect the overall picture of the maintenance work. In the home page visualization display function, new data such as power outage plan, emergency repair management, maintenance defect management, live detection, technical transformation and overhaul site conditions are added. For the power outage plan module, information such as lines, power outage periods, work contents, etc. planned for power outages on the day, week, month or any customized time period can be displayed, and reminders for defect orders that need to be handled in conjunction with power outages can be pushed. When performing maintenance, the defect order can be defined according to the defect content set in the maintenance defect management, and then it can be used to determine whether a power outage is needed based on the judgment of the maintenance personnel.

[0052] 3. The present invention provides a lean cable management and control method, which comprehensively analyzes key factors such as real-time load, ambient temperature, ambient humidity and cable rated voltage, and uses a linear regression model to establish a mathematical model for predicting the cable operating temperature. This method determines the reasonable temperature range [T min , T max ], thereby achieving accurate judgment of cable temperature abnormalities and effectively improving the intelligence level and efficiency of power equipment operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a system framework diagram of the control platform of the present invention;

[0054] Figure 2 It is a connection relationship diagram of some functional modules in the information uploading unit and the visualization panel unit of the present invention;

[0055] Figure 3 It is a schematic diagram of other functional subunits of the charged detection subunit of the present invention;

[0056] Figure 4 It is a system framework diagram of the defect management subunit of the present invention;

[0057] Figure 5 It is a system framework diagram of the power outage plan subunit of the present invention;

[0058] Figure 6 It is a system framework diagram of the technical transformation and overhaul on-site subunit of the present invention;

[0059] Figure 7 This is a system framework diagram of the maintenance defect management subunit of the present invention. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only embodiments of a part of the present invention, rather than all embodiments. Based on the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the protection scope of the present invention.

[0061] The embodiment of the present invention provides a lean cable management and control method based on one-stop display of maintenance information, including:

[0062] Step 1: Data collection: collect the cable load data, cable infrared temperature measurement data, ambient temperature, ambient humidity and cable rated voltage at the current and historical times;

[0063] When infrared temperature measurement is performed on the cable, the historical cable load data value closest to the current moment is obtained in real time. The RESTful technology is used to obtain the basic current and historical cable load data, and the returned data is received and processed in JSON format, thereby achieving the effect of reducing data coupling.

[0064] Step 2: Data processing, storing the data collected in step 1, building a database, matching the actual cable load data at the moment when the cable load data in the database is missing, and filling it;

[0065] Based on the data collected in step 1, the cable load database, cable infrared temperature measurement database, ambient temperature database and ambient humidity database are constructed respectively. Considering the missing data in the cable load database, in order to improve the accuracy of the cable historical load data, the load vector CL[i] at the time when the cable load data is missing is constructed. This process aims to fill and estimate the missing cable historical load data points to ensure the continuity and integrity of the entire cable load data at all times.

[0066] The load vector formula when the cable load data is missing is:

[0067] ,

[0068] in, is the cable id, T is the time when the cable load data is missing, is the time Δt seconds before the cable load data is missing, is the time Δt seconds after the cable load data is missing, Δt is the set value, Load is the operation of obtaining the cable load, is the load vector when the cable load data is missing, stored arrive The load data between.

[0069] The matching formula for the real cable load data when the cable load data is missing is:

[0070] ,

[0071] in, To match the actual cable load data, is the load vector when the cable load data is missing, Calculated to take the middle value.

[0072] In a preferred but non-limiting embodiment of the present invention, the value of Δt is 300 seconds. Since there is a 5-minute time difference in measuring the cable load data, 300 seconds before and after can ensure that at least one recent cable load data can be obtained. The composite value calculation of the cable is performed according to the detected temperature, and the formula is:

[0073] ,

[0074] in is the cable id, T For the current moment, 300 seconds before the current time. 300 seconds after the current time. To obtain the load operation, For vector data, store arrive The reason for selecting 300 seconds is that there is a 5-minute time difference in measuring load data. 300 seconds before and after can ensure that at least one recent load data can be obtained.

[0075] The operator is described as follows { user,circuit,operation,time,load}in user For user information; circuit is an operation object, specifically a cable object to be detected in real time; operation For the operation content; time is the operation time, specifically the time for testing the cable; load Implement matching loads for cables obtained after the operation.

[0076] According to the operation command structure description, the real-time load vector of the cable is obtained. To match, this process requires precise adjustment of the real-time cable load data to ensure that it fully matches the requirements of the operation command structure. The matching load formula is:

[0077] .

[0078] Step 3: Model construction: Based on the database constructed in step 2, a cable temperature prediction model is constructed;

[0079] The database is deeply integrated with the historical data of cable infrared temperature measurement, historical ambient temperature, historical ambient humidity and cable rated voltage in the past two years. After extraction, cleaning and association steps, redundant and abnormal information is proposed, and the retained data samples are divided into test set and training set. The training set provides a solid foundation for the construction and optimization of the cable temperature prediction model, and the test set is used to verify the accuracy of the model.

[0080] The cable temperature prediction model aims to establish a quantitative relationship between cable load data, cable infrared temperature measurement data, ambient temperature, ambient humidity and cable rated voltage. The cable infrared temperature measurement data value is predicted by the cable load data, ambient temperature and ambient humidity measured at a certain moment. Since the accuracy of the predicted value is about 95%, the data within the range of ±5% of the predicted value is taken as the normal temperature range of the cable infrared temperature measurement prediction data at that moment. The following is a detailed introduction to the cable temperature prediction model.

[0081] Step 4: Temperature prediction: based on the database processed in step 2 and the model constructed in step 3, the predicted normal temperature of the cable at the current moment is calculated; based on the predicted normal temperature of the cable at the current moment and the accuracy of the model, the predicted normal temperature range of the cable at the current moment is determined;

[0082] The formula for predicting the normal temperature of the cable at the current moment in the cable temperature prediction model is:

[0083] ,

[0084] in, T Predict the normal temperature of the cable at the current moment, A is the load factor, load is the cable load data at the current moment, B is the ambient temperature factor, temperature is the current ambient temperature, C is the environmental humidity factor, humidity is the current ambient humidity, D is the voltage level factor, voltage is the rated voltage of the cable, constant To correct the intercept.

[0085] In a preferred but non-limiting embodiment of the present invention, in the model training phase, an efficient gradient descent method is used, and after five rounds of iterative optimization, the model gradually converges to the optimal state. Finally, through strict verification of the test set, the accuracy of the model reaches 0.95.

[0086] Among them, the specific meanings and training results of each coefficient and constant are as follows:

[0087] A (load factor): Its value is -0.008069, reflecting the small but non-negligible negative effect of load changes on cable temperature.

[0088] B (ambient temperature factor): Its value is 0.951453, which significantly indicates that ambient temperature is the most important factor affecting cable temperature and has a high positive correlation.

[0089] C (ambient humidity factor): Its value is 0.001280, which reveals a weak positive relationship between ambient humidity and cable temperature.

[0090] D (voltage level factor): Its value is 0.004988, indicating that the voltage level also has a certain degree of positive influence on the cable temperature, but it is relatively weak.

[0091] constant (corrected intercept): Its value is 6.198753. It is used as a constant term in the model to adjust the basic level of model prediction to ensure the accuracy of the overall prediction.

[0092] The predicted normal temperature range of the cable at the current moment is [T min , T max ];

[0093] Among them, T min =T×95%,T max =T×105%,T min T is the lowest value of the normal temperature range predicted for the cable at the current moment. max is the maximum value of the normal temperature range predicted for the cable at the current moment, and T is the normal temperature predicted for the cable at the current moment.

[0094] Step 5: Defect judgment: Based on the infrared temperature measurement data of the cable collected in step 1 and the predicted normal temperature range of the cable obtained in step 4, compare whether the infrared temperature measurement data of the cable at the current moment falls within the predicted normal temperature range of the cable. If it is within the range, it means that the cable is operating normally, and return to step 1; if it is not within the range, it means that the cable has defects, report the defect data, and go to step 6;

[0095] In a preferred but non-limiting embodiment of the present invention, the unit of cable load data is ampere (A), the unit of ambient temperature is Celsius (℃), the unit of ambient humidity is relative humidity percentage (%rh), the rated voltage of the cable is kilovolt (kV), and the unit of cable infrared temperature measurement temperature and cable predicted temperature are both Celsius (℃), as shown in Table 1 below; when the model is trained, the values ​​of the above parameters in the specified units are taken, and the units contained in each parameter are removed. For example, when the load value is 106.62, the temperature value is 24, the humidity value is 63, and the voltage value is 35, the predicted normal temperature T of the cable at the current moment calculated according to the cable temperature prediction formula is 28.42°C. At a 95% confidence level, the confidence interval of the predicted value is [27.00℃, 29.84℃]. If the actual cable temperature measured by the infrared thermometer is 29.7℃ at this time, this value just falls within the predicted confidence interval, so it can be judged that the temperature measurement result shows that the cable temperature is within the normal range.

[0096] Table 1 Cable collection data dimensions and examples

[0097] Unit Name Dimension (unit) Example Cable Loading Data A (ampere) 128A, take 128 Ambient temperature ℃ Celsius Ambient humidity %rh (Relative humidity percentage) 60%, take 60 Cable rated voltage kV (kilovolt) 110kV, take 110 Cable temperature (infrared temperature measurement and prediction) ℃ Celsius

[0098] The following table shows some training data used in the embodiments of the present invention:

[0099] Table 2 Cable temperature prediction model training data display

[0100] Cable load data (A) Ambient temperature (℃) Ambient humidity (%rh) Cable rated voltage (kV) Cable temperature (℃) 116.0499804 5 58 110 9.53333 101.5701002 5 55 220 9.5 98.32405202 19 44 110 25.3 107.5901925 23 55 110 27.4 107.9417983 30 76 110 36.16667 100.6710196 10 51 110 16

[0101] The principle of the cable temperature comparison and defect judgment method is based on the influencing factors:

[0102] { load,temperature,humidity,voltage},in load is the cable load data, temperature is the ambient temperature, humidity is the ambient humidity, voltage is the rated voltage of the cable. These four factors affect the temperature of the cable. The formula is:

[0103] ,

[0104] Among them, A (load factor): its value is -0.008069, reflecting the small but non-negligible negative effect of load change on cable temperature, B (ambient temperature factor): its value is 0.951453, which significantly shows that ambient temperature is the most important factor affecting cable temperature and has a high positive correlation, C (ambient humidity factor): its value is 0.001280, revealing the weak positive relationship between ambient humidity and cable temperature, D (voltage level factor): its value is 0.004988, indicating that voltage level also has a certain degree of positive effect on cable temperature, but it is relatively weak, constant (corrected intercept): its value is 6.198753, as a constant term in the model, it is used to adjust the basic level of model prediction to ensure the accuracy of the overall prediction.

[0105] Step 6: Defect management. Based on the defect data reported in step 5 and combined with the power outage plan, formulate and implement a cable maintenance plan to complete the cable defect maintenance.

[0106] Based on the defect data detected in step 4, combined with the power outage plan for the day, week, month or custom event, collect the power outage lines, power outage periods and work content. When formulating the maintenance plan, compare the lines where the defects are located with the power outage plan. If there is a power outage in the maintenance area, the stop maintenance task will be assigned. After the power outage in the area is restored, the maintenance task will be processed. Based on the formulated maintenance plan, the defects are repaired, combined with the technical transformation and overhaul on-site sub-unit, the construction progress is checked, and the cable defect maintenance is completed.

[0107] In a preferred but non-limiting embodiment of the present invention, the method used to judge the temperature abnormality of the cable accessory equipment is the same as the method to judge the temperature abnormality of the cable, and the value of the rated voltage of the cable accessory equipment in the temperature prediction formula of the cable accessory equipment is determined according to the rated voltage of the cable to which the cable accessory equipment belongs.

[0108] like Figure 1-7 As shown, an embodiment of the present invention also provides a cable lean management and control platform based on the above-mentioned cable lean management and control method based on the one-stop display of maintenance information, including a main control system, the main control system includes a visualization panel unit, and an information upload unit and an information management unit electrically connected to the visualization panel unit; the information upload unit is used to upload the collected cable data related to the cable to the live detection sub-unit via wireless communication.

[0109] The visualization panel unit includes a live detection subunit, a data transmission subunit, a comparison subunit, a defect judgment subunit and a defect management subunit; the live detection subunit is used to display cable-related data, and transmit the cable-related data to the comparison subunit and the defect judgment subunit through the data transmission subunit; the comparison subunit is used to implement the data processing of step 2, and transmit the processed complete cable real-time load data to the defect judgment subunit; the defect judgment subunit is used to implement the model construction, temperature prediction and defect judgment of steps 3-5 based on the complete cable load data processed from the comparison subunit and the cable-related data obtained by the live detection subunit through the data transmission subunit; the defect management subunit is used to obtain defect information from the defect judgment subunit and implement defect management in step 6.

[0110] The live detection data is based on the detection results of the live detection subunit receiving the device data, including the detector temperature, circulating current, ground resistance and high-frequency partial discharge data. The detected data is sent to the platform via wireless and Bluetooth for display.

[0111] The live detection subunit includes an infrared temperature measurement data display module, a circulating current detection module, a ground resistance detection module and a high-frequency partial discharge module. The infrared temperature measurement data display module is used to display the temperature detected by the infrared temperature measurement equipment, the circulating current detection module is used to display the circulating current detection data, the ground resistance detection module is used to display the ground resistance detection data, and the high-frequency partial discharge module is used to display the high-frequency partial discharge detection data. The output end of the live detection subunit is electrically connected to the input end of the load data transmission subunit, the output end of the load data transmission subunit is electrically connected to the input end of the comparison subunit, the output end of the comparison subunit is electrically connected to the input end of the defect judgment subunit, the load data transmission subunit is used to schedule load data, the comparison subunit compares the load data transmission subunit with normal data, and the defect judgment subunit determines whether it is defective data based on the data of the normal cable and the cable data compared by the comparison subunit.

[0112] The defect management subunit includes the power outage plan subunit, the maintenance defect management subunit, the emergency repair management subunit and the technical transformation and overhaul on-site subunit.

[0113] The power outage plan subunit is used to receive and display power outage data and to formulate and display power outage plans; the maintenance defect management subunit is used to display the current number and content of various defects in real time and formulate cable maintenance plans; the emergency repair management subunit is used to display the progress of the current emergency repair work on the line; the technical transformation and overhaul site subunit is used to display photos taken at the technical transformation and overhaul site and manage construction quality. The power outage plan subunit includes a time display module and an information display module. The time display module is used to display data of the current day, week, month and custom time. The information display module is used to display power outage lines, power outage periods, and work content. The input end of the power outage plan subunit is electrically connected to a setting unit. The setting unit includes a time setting subunit, an information display setting subunit, a push list setting subunit, and a time node reminder subunit. The output end of the power outage plan subunit is electrically connected to the input end of the push subunit. The time setting subunit is used to set the time displayed by the power outage plan subunit. The information display setting subunit is used to set the information displayed by the power outage plan subunit. The push list setting subunit is used to set the list pushed by the push subunit to the management and control platform. The time node reminder subunit is used to remind the nodes pushed by the push subunit. When maintenance is carried out, maintenance tasks are dispatched based on the power outage plan subunit. When there is a power outage in the maintenance area, the task of stopping maintenance is dispatched.

[0114] The maintenance defect management subunit includes a defect statistics module, a classification module, a grading module, a search port module, a database module and a file book generation module. The classification module is used to classify the statistical defect content of the equipment. The grading module grades the degree of defects based on the content classified by the classification module, including low, medium and high levels. The search port module retrieves the data of the maintenance defect management subunit based on the search engine. The file book generation module is used to generate a maintenance defect file book based on the data processed by the classification module and the grading module. The database module is used to store the generated defect file book. The output end of the defect statistics module is electrically connected to the input ends of the classification module, the grading module and the search port module. The output end of the search port module is electrically connected to the input ends of the file book generation module and the database module. The defect statistics module is used to display the current number and overall situation of each defect in real time. The classification module separates the defects based on the defects statistics of the defect statistics module. The grading module grades the defects based on the defects statistics of the defect statistics module. The file book generation module is used to generate a graphical intelligent electronic file book for the entire life cycle of maintenance defects. The database module includes a previous processing data submodule, a defect elimination plan data submodule, an acceptance rollback data submodule and a historical live detection data submodule. The database module is used to store previous defect data to facilitate management personnel to vertically understand the progress of defects and for production personnel to follow up the defect elimination plan in a closed loop. The setting unit also includes a level setting subunit and a classification information setting subunit. The level setting subunit is used to set the level of the defect by the grading module, and the classification information setting subunit is used to set the classification of the defect by the classification module.

[0115] The classification module is used to classify the statistical defect content of the equipment. The grading module grades the defect degree based on the content classified by the classification module, including low, medium and high. The search port module retrieves the data of the maintenance defect management sub-unit based on the search engine. The file book generation module is used to generate the maintenance defect file book based on the data processed by the classification module and the grading module. The database module is used to store the generated defect file book.

[0116] The technical transformation and overhaul on-site sub-unit includes an intranet tablet data access module, an intranet tablet module and an intranet technical transformation and overhaul management module. The output end of the intranet tablet data access module is electrically connected to the intranet tablet module and the intranet technical transformation and overhaul management module. The intranet technical transformation and overhaul management module includes a technical transformation project maintenance module, an entry request module and a technical transformation project addition module. The intranet tablet module uses a tablet that has passed security certification. The intranet tablet module is used to take on-site photos. The on-site photos taken by the intranet tablet module can be transmitted in real time and automatically archived to the intranet technical transformation and overhaul management module, which can be used to check the construction progress. The technical transformation project maintenance module is used to maintain the technical transformation projects. The entry request module is used to send requests for reserve project entry. The technical transformation project addition module is used to add technical transformation projects.

[0117] The intranet tablet module takes on-site photos based on a handheld tablet device. The technical transformation project maintenance module maintains the maintenance accuracy and defects of the current technical transformation project. The entry request module is based on the project entry request made by the management and control personnel through the encryption unit. The technical transformation project addition module is used to add the content required for the current technical transformation project.

[0118] It should be noted that the embodiment of the present invention provides a cable lean management and control platform based on a one-stop display of maintenance information. When in use, the maintenance defect management subunit displays the number and overall situation of various defects in real time, and performs customized screening according to key fields such as defect type, defect level, voltage level, etc., and can search for the processing flow, defect elimination plan, acceptance filing, and historical live detection of related defects in a one-stop manner, and generate a graphical intelligent electronic archive book of the entire life cycle of maintenance defects, which is convenient for management personnel to vertically understand the progress of defects and is conducive to closed-loop follow-up of defect elimination plans by production personnel;

[0119] The emergency repair module displays the progress of the current emergency repair work. The live detection subunit can display data of different types of live detection, such as infrared temperature measurement, circulating current detection, high-frequency partial discharge, and ground resistance. It can be displayed from multiple dimensions such as equipment and dispatch type, and the completion status of any specified detection plan can be quickly checked. The technical transformation and overhaul site subunit module can display photos taken on the technical transformation and overhaul site, and can manage the construction quality in a timely manner.

[0120] The security-certified intranet tablet module is used to take photos of the construction site. The photos are transmitted in real time and automatically archived to the intranet technical renovation and overhaul management module. The daily construction progress can be checked, and the addition and maintenance of technical renovation and overhaul projects are supported, as well as the entry of reserve projects.

[0121] New data such as power outage plan, emergency repair management, maintenance defect management, live detection, technical transformation and overhaul site conditions have been added to the homepage visualization function. For the power outage plan subunit, information such as the lines, power outage periods, and work contents planned for the day, week, month, or any custom time period can be displayed, and reminders for defect orders that need to be handled in conjunction with the power outage will be pushed.

[0122] The information management unit includes a permission management unit, an employee information entry unit, a login unit, an encryption unit and a setting unit; the permission management unit is used to manage the permissions of personnel accessing the main control system; the employee information entry unit and the login unit are used for the login operation of personnel accessing the main control system; the encryption unit is used to encrypt the manual information of the login unit, the management and control platform and the permission management unit, and the encryption unit uses a symmetric key algorithm for encryption;

[0123] The setting unit includes a time setting subunit, an information display setting subunit, a push list setting subunit and a time node reminder subunit; the time setting subunit is used to set the time displayed by the power outage plan subunit; the information display setting subunit is used to set the information displayed by the power outage plan subunit; the push list setting subunit is used to set the list pushed by the push subunit to the management and control platform; the time node reminder subunit is used to remind the node pushed by the push subunit;

[0124] The time setting subunit sets the time based on the power outage plan, and the information display setting subunit displays based on the time setting.

[0125] The embodiment of the present invention discloses a cable lean management and control method based on a multi-parameter fusion cable temperature anomaly intelligent judgment method. By comprehensively analyzing key factors such as real-time load, ambient temperature, ambient humidity and cable rated voltage, a mathematical model for predicting cable operating temperature is established using a linear regression model. The method determines a reasonable temperature range [T min , T max ], thereby achieving accurate judgment of cable temperature abnormalities and effectively improving the intelligence level and efficiency of power equipment operation and maintenance.

[0126] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A lean cable management and control method based on one-stop display of maintenance information, characterized in that: include: Step 1: Data collection: collect the cable load data, cable infrared temperature measurement data, ambient temperature, ambient humidity and cable rated voltage at the current and historical times; Step 2: Data processing, storing the data collected in step 1, building a database, matching the actual cable load data at the moment when the cable load data in the database is missing, and filling it; In step 2, the load vector at the time when the cable load data is missing is constructed to match the real cable load data at the time when the cable load data is missing; The load vector formula when the cable load data is missing is: in, is the cable id, T is the time when the cable load data is missing, is the time Δt seconds before the cable load data is missing, is the time Δt seconds after the cable load data is missing, Δt is the set value, Load is the operation of obtaining the cable load, is the load vector when the cable load data is missing, stored arrive Load data between; The matching formula for the real cable load data when the cable load data is missing is: in, To match the actual cable load data, is the load vector when the cable load data is missing, To calculate the middle value; Step 3: Model construction: Based on the database constructed in step 2, a cable temperature prediction model is constructed; Step 4: Temperature prediction: based on the database processed in step 2 and the model constructed in step 3, the predicted normal temperature of the cable at the current moment is calculated; based on the predicted normal temperature of the cable at the current moment and the accuracy of the model, the predicted normal temperature range of the cable at the current moment is determined; In step 4, the formula for predicting the normal temperature of the cable at the current moment in the cable temperature prediction model is: in, T Predict the normal temperature of the cable at the current moment, A is the load factor, load is the cable load data at the current moment, B is the ambient temperature factor, temperature is the current ambient temperature, C is the environmental humidity factor, humidity is the current ambient humidity, D is the voltage level factor, voltage is the rated voltage of the cable, constant To correct the intercept; The predicted normal temperature range of the cable at the current moment is [T min , T max ]; where T min =T×95%,T max =T×105%,T min T is the lowest value of the normal temperature range predicted for the cable at the current moment. max is the maximum value of the normal temperature range predicted for the cable at the current moment, and T is the normal temperature predicted for the cable at the current moment; Step 5: Defect judgment: Based on the infrared temperature measurement data of the cable collected in step 1 and the predicted normal temperature range of the cable obtained in step 4, compare whether the infrared temperature measurement data of the cable at the current moment falls within the predicted normal temperature range of the cable. If it is within the range, it means that the cable is operating normally, and return to step 1; if it is not within the range, it means that the cable has defects, report the defect data, and go to step 6; Step 6: Defect management: Based on the defect data reported in step 5 and combined with the power outage plan, a cable maintenance plan is formulated and implemented to complete the cable defect maintenance; Combined with the power outage plan for the day, week, month or custom time, the power outage lines, power outage periods and work content are collected. When formulating the maintenance plan, the lines where the defects are located are compared with the power outage plan. If there is a power outage in the maintenance area, a stop maintenance task is assigned. After the power outage in the area is restored, the maintenance task is processed; based on the formulated maintenance plan, the defects are repaired, combined with the on-site conditions of the technical transformation and overhaul, the construction progress is checked, and the cable defect repair is completed.

2. A cable lean management and control platform using the cable lean management and control method based on one-stop display of maintenance information according to claim 1, characterized in that: It includes a main control system; the main control system includes a visualization panel unit, and an information upload unit and an information management unit electrically connected to the visualization panel unit, the information upload unit is used to upload the collected cable data to the live detection subunit through wireless communication; the visualization panel unit includes a live detection subunit, a data transmission subunit, a comparison subunit, a defect judgment subunit and a defect management subunit; the live detection subunit is used to display cable-related data, and transmit the cable-related data to the comparison subunit and the defect judgment subunit through the data transmission subunit; The comparison subunit is used to implement the data processing of step 2, and transmit the processed complete cable real-time load data to the defect judgment subunit; the defect judgment subunit is used to implement the model construction, temperature prediction, and defect judgment of steps 3-5 based on the complete cable load data processed by the comparison subunit and the cable related data obtained by the live detection subunit through the data transmission subunit; The defect management subunit is used to obtain defect information from the defect judgment subunit to implement the defect management of step 6.

3. The cable lean management and control platform according to claim 2 is characterized by: The live detection subunit includes an infrared temperature measurement data display module, a circulating current detection module, a ground resistance detection module and a high-frequency partial discharge module; Among them, the infrared temperature measurement data display module is used to display the temperature detected by the infrared temperature measurement equipment; The circulation detection module is used to display the circulation detection data; The ground resistance detection module is used to display the data of ground resistance detection; The high-frequency partial discharge module is used to display the data of high-frequency partial discharge detection.

4. The cable lean management and control platform according to claim 2 is characterized by: The defect management subunit includes the power outage plan subunit, maintenance defect management subunit, emergency repair management subunit and technical transformation and overhaul site subunit; The outage plan subunit is used to receive and display outage data and to develop and display outage plans; The maintenance defect management subunit is used to display the number and content of various defects in real time and formulate cable maintenance plans; The emergency repair management subunit is used to display the progress of the current emergency repair work on the line; the technical transformation and overhaul site subunit is used to display photos taken at the technical transformation and overhaul site and manage the construction quality.

5. The cable lean management and control platform according to claim 4 is characterized by: The power outage plan subunit includes a time display module and an information display module; the time display module is used to display data for the current day, week, month, and custom time; The information display module is used to display power outage lines, power outage periods and work content.

6. The cable lean management and control platform according to claim 2 is characterized by: The information management unit includes a permission management unit, an employee information entry unit, a login unit, an encryption unit and a setting unit; The authority management unit is used to manage the authority of personnel accessing the main control system; the employee information entry unit and the login unit are used for the login operation of personnel accessing the main control system; the encryption unit is used to encrypt the manual information of the login unit, the control platform and the authority management unit, and the encryption unit uses a symmetric key algorithm for encryption; The setting unit includes a time setting subunit, an information display setting subunit, a push list setting subunit and a time node reminder subunit; the time setting subunit is used to set the time displayed by the power outage plan subunit; The information display setting subunit is used to set the information displayed by the power outage plan subunit; The push list setting subunit is used to set the list that the push subunit pushes to the management and control platform; the time node reminder subunit is used to remind the nodes pushed by the push subunit; The time setting subunit sets the time based on the power outage plan, and the information display setting subunit displays based on the time setting.

7. The cable lean management and control platform according to claim 3 is characterized by: The technical renovation and overhaul on-site subunit includes an intranet tablet data access module, an intranet tablet module and an intranet technical renovation and overhaul management module. The output end of the intranet tablet data access module is electrically connected to the intranet tablet module and the intranet technical renovation and overhaul management module. The intranet technical renovation and overhaul management module includes a maintenance technical renovation project module, an input request module and a technical renovation project addition module. The intranet tablet module is used to take photos of the site; the maintenance and technical transformation project module is used to maintain the technical transformation project; The entry request module is used to send a request for the entry of a reserve project; the technical transformation project addition module is used to add a technical transformation project; The intranet tablet module takes on-site photos based on a handheld tablet device. The technical transformation project maintenance module maintains the maintenance accuracy and defects of the current technical transformation project. The entry request module is based on the project entry request made by the management and control personnel through the encryption unit. The technical transformation project addition module is used to add the content required for the current technical transformation project.

8. The cable lean management and control platform according to claim 3 is characterized by: The maintenance defect management subunit includes a defect statistics module, a classification module, a grading module, a search port module, a database module and a file book generation module. The output end of the defect statistics module is electrically connected to the input ends of the classification module, the grading module and the search port module, and the output end of the search port module is electrically connected to the input ends of the file book generation module and the database module. The classification module is used to classify the statistical defect content of the equipment. The grading module grades the defect degree based on the content classified by the classification module, including low, medium and high. The search port module retrieves the data of the maintenance defect management sub-unit based on the search engine. The file book generation module is used to generate the maintenance defect file book based on the data processed by the classification module and the grading module. The database module is used to store the generated defect file book.

9. The cable lean management and control platform according to claim 6, characterized in that: The setting unit also includes a level setting subunit and a classification information setting subunit. The level setting subunit is used to set the level of the defect by the grading module, and the classification information setting subunit is used to set the classification of the defect by the classification module.

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