Bus duct service life evaluation system based on multi-source data terminal

By designing the life assessment system based on the homeline grooves based on multi -source data terminals, the problem of inconvenient life assessment of the bus groove in the existing technology has been solved, and a more efficient and accurate life evaluation has been achieved, and the efficiency of work is improved.

CN119337723AActive Publication Date: 2025-01-21GUANGDONG CESKO GENERAL POWER TECHNOLOGY CO LTD +1
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Patent Information

Application Number
CN202411446105.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-16
Publication Date
2025-01-21
Estimated Expiration
2044-10-16

AI Technical Summary

Technical Problem

In the prior art, busbar duct life evaluation is inconvenient, manual analysis and evaluation efficiency are low and the accuracy is low.

Method used

A busway service life evaluation system based on multi-source data terminals is designed, including multi-source data acquisition module, data processing module and data analysis module. The system collects busway operating data through temperature and humidity sensors, current sensors, voltage sensors and displacement sensors, processes and analyzes these data to confirm insulation, electrical and mechanical degradation parameters, and ultimately evaluates the remaining service life of the busway.

Benefits of technology

Through multi-source data collection and comprehensive analysis, the accuracy and efficiency of busway life assessment are significantly improved, manual intervention is reduced, human resources are saved, and work efficiency is improved.

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Abstract

The invention discloses a bus duct service life evaluation system based on a multi-source data terminal, and the system comprises a multi-source data collection module which is used for collecting a plurality of pieces of operation data of a bus duct; the plurality of items of operation data comprise temperature and humidity data, electrical parameters and mechanical parameters; the data processing module is used for confirming a plurality of degradation parameters according to the plurality of operation data; the plurality of feature degradation parameters comprise insulation degradation data, electrical degradation parameters and mechanical degradation data; and the data analysis module is used for confirming the residual service life of the bus duct according to the plurality of feature degradation parameters. The technical problem that the service life of the bus duct is inconvenient to evaluate in the prior art is solved.
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Description

Technical Field

[0001] The invention relates to the technical field of bus duct monitoring and evaluation, and in particular to a bus duct service life evaluation system based on a multi-source data terminal. Background Art

[0002] The bus duct is a busbar system composed of a metal plate as a protective shell, conductive bars, insulating materials and related accessories. It is used to distribute large power to various components of the distributed system. Compared with cables, it is often used for large current transmission. The service life of the bus duct is affected by many factors.

[0003] In the prior art, the operating status and life of the bus duct are evaluated by manually monitoring the operating current data, temperature and other data of the bus duct in real time, so as to replace the bus duct in time. However, the manual analysis and evaluation method is affected by factors such as experience, resulting in a large workload, low work efficiency and low accuracy in bus duct life evaluation. Summary of the invention

[0004] The purpose of the present invention is to provide a bus duct service life assessment system based on a multi-source data terminal, which solves the technical problem of inconvenient bus duct service life assessment in the prior art.

[0005] The present invention provides a bus duct service life assessment system based on a multi-source data terminal, the system comprising:

[0006] A multi-source data acquisition module, wherein the multi-source data acquisition module is used to collect several items of operation data of the bus duct; the several items of operation data include temperature and humidity data, electrical parameters and mechanical parameters;

[0007] A data processing module, the data processing module is used to confirm a number of degradation parameters according to a number of operation data; the several characteristic degradation parameters include insulation degradation data, electrical degradation parameters and mechanical degradation data;

[0008] A data analysis module is used to confirm the remaining service life of the bus duct based on a number of characteristic degradation parameters.

[0009] Furthermore, the multi-source data acquisition module includes:

[0010] A temperature and humidity sensor, which is used to collect temperature and humidity data of the bus duct in real time during operation;

[0011] A current sensor, which is used to collect the operating current data of the bus duct in real time;

[0012] A voltage sensor, which is used to collect the operating voltage data of the bus duct in real time; the electrical parameters include operating current data and operating voltage data;

[0013] A displacement sensor is used to collect horizontal displacement data and vertical displacement data at a bus duct connection point in real time; the mechanical parameters include horizontal displacement data and vertical displacement data.

[0014] Furthermore, the data analysis module includes:

[0015] An insulation analysis unit, the insulation analysis unit is used to confirm insulation degradation data based on temperature and humidity data;

[0016] An electrical analysis unit, the electrical analysis unit being used to confirm electrical degradation data based on electrical parameters;

[0017] A mechanical analysis unit is used to confirm mechanical degradation data based on mechanical parameters.

[0018] Furthermore, the insulation analysis unit confirms insulation degradation data based on the temperature and humidity data, including:

[0019] Obtain the test data of the last insulation test of the bus duct and the operating time from the last insulation test to the present;

[0020] Based on the temperature and humidity data, confirm several temperature and humidity limit-exceeding events since the last insulation test; the temperature and humidity limit-exceeding events include the temperature and humidity limit-exceeding amplitude and the temperature and humidity limit-exceeding duration;

[0021] Based on the test data and the temperature and humidity over-limit amplitude and temperature and humidity over-limit duration of each temperature and humidity over-limit event, confirm the insulation degradation value corresponding to each temperature and humidity over-limit event;

[0022] The insulation degradation data is confirmed based on the operating time of the bus duct, test data, and insulation degradation values ​​of several temperature and humidity out-of-limit events.

[0023] Furthermore, the electrical analysis unit confirms electrical degradation data based on electrical parameters, including:

[0024] Based on the operating current data, multiple current overload events and overload frequencies are obtained, and the current overload events include overload current value and overload time;

[0025] Confirm current degradation data based on multiple current overload events and overload frequencies;

[0026] Obtain bus duct resistance data based on operating voltage data and operating current data;

[0027] Based on the resistance data, confirm the resistance degradation data;

[0028] Based on the current degradation data and the resistance degradation data, the electrical degradation data is confirmed.

[0029] Furthermore, the mechanical analysis unit is used to confirm mechanical degradation data based on mechanical parameters, including:

[0030] Obtain connection methods of several connection points of the bus duct; the connection methods include longitudinal installation and transverse installation;

[0031] Based on the connection mode, horizontal displacement data and vertical displacement data of each connection point of the bus duct, the degradation characteristics of each connection point are obtained, wherein the degradation characteristics include the number and frequency of the horizontal displacement data or the vertical displacement data not meeting the corresponding preset conditions; the degradation characteristics include the main degradation characteristics and the auxiliary degradation characteristics; the preset conditions include being greater than or equal to the preset displacement;

[0032] Based on the degradation characteristics of each connection point, determining the connection degradation degree of each connection point;

[0033] Based on the connection degradation degree of several connection points of the bus duct, the mechanical degradation data of the bus duct is confirmed.

[0034] Furthermore, based on the connection mode, horizontal displacement data, and vertical displacement data of each connection point of the bus duct, the degradation characteristics of each connection point are obtained, including:

[0035] When the connection point is installed longitudinally, the primary degradation characteristics of the connection point are confirmed based on the horizontal displacement data; the secondary degradation characteristics of the connection point are confirmed based on the vertical displacement data;

[0036] When the connection point is installed horizontally, the main degradation characteristics of the connection point are confirmed based on the vertical displacement data; the auxiliary degradation characteristics of the connection point are confirmed based on the vertical displacement data.

[0037] Furthermore, based on the connection degradation degree of several connection points of the bus duct, the mechanical degradation data of the bus duct is confirmed, including:

[0038] Based on the connection degradation degree of several connection points of the bus duct, the characteristic connection points are confirmed;

[0039] The connection degradation degree of the characteristic connection point is used as the mechanical degradation data of the bus duct.

[0040] Furthermore, the data analysis module determines the remaining service life of the bus duct based on several characteristic degradation parameters, including:

[0041] Obtain the bus duct model and total operation time from installation to date;

[0042] The total operating time, insulation degradation data, electrical degradation parameters and mechanical degradation data are input into the life assessment model to obtain the remaining service life of the bus duct; the life assessment model is obtained by training the neural network model.

[0043] Furthermore, the system also includes an alarm module:

[0044] When the remaining service life of the bus duct is less than the set threshold, an alarm message is generated and sent to the management terminal; the alarm message includes the model, number, location and remaining service life of the bus duct.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] In the present invention, a plurality of operation data of the bus duct are collected through a multi-source data collection module, making the data collection process more convenient; the plurality of operation data are processed by the data processing module to obtain a plurality of characteristic degradation parameters, so that the data analysis module can make a comprehensive evaluation from multiple aspects and obtain the remaining service life of the bus duct, making the remaining service life of the bus duct more accurate, saving manpower and improving work efficiency. The technical problem of inconvenient bus duct life evaluation in the prior art is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 The present invention is a principle block diagram of a bus duct service life assessment system based on a multi-source data terminal. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0049] like Figure 1 As shown, a bus duct service life assessment system based on a multi-source data terminal, a bus duct service life assessment system based on a multi-source data terminal, the system comprising:

[0050] A multi-source data acquisition module, wherein the multi-source data acquisition module is used to collect several items of operation data of the bus duct; the several items of operation data include temperature and humidity data, electrical parameters and mechanical parameters;

[0051] A data processing module, the data processing module is used to confirm a number of degradation parameters according to a number of operation data; the several characteristic degradation parameters include insulation degradation data, electrical degradation parameters and mechanical degradation data;

[0052] A data analysis module is used to confirm the remaining service life of the bus duct based on a number of characteristic degradation parameters.

[0053] The specific implementation process of this embodiment includes:

[0054] In this embodiment, a plurality of operation data of the bus duct is collected through a multi-source data collection module, making the data collection process more convenient; the plurality of operation data are processed by the data processing module to obtain a plurality of characteristic degradation parameters, so that the data analysis module can make a comprehensive evaluation from multiple aspects and obtain the remaining service life of the bus duct, making the remaining service life of the bus duct more accurate, saving manpower and improving work efficiency. The technical problem of inconvenient bus duct life evaluation in the prior art is solved.

[0055] In this embodiment, the multi-source data acquisition module includes:

[0056] A temperature and humidity sensor, which is used to collect temperature and humidity data of the bus duct in real time during operation;

[0057] A current sensor, which is used to collect the operating current data of the bus duct in real time;

[0058] A voltage sensor, which is used to collect the operating voltage data of the bus duct in real time; the electrical parameters include operating current data and operating voltage data;

[0059] A displacement sensor is used to collect horizontal displacement data and vertical displacement data at a bus duct connection point in real time; the mechanical parameters include horizontal displacement data and vertical displacement data.

[0060] In this embodiment, the data analysis module includes:

[0061] An insulation analysis unit, the insulation analysis unit is used to confirm insulation degradation data based on temperature and humidity data;

[0062] An electrical analysis unit, the electrical analysis unit being used to confirm electrical degradation data based on electrical parameters;

[0063] A mechanical analysis unit is used to confirm mechanical degradation data based on mechanical parameters.

[0064] Temperature and humidity data are important factors affecting the insulation performance of the bus duct. In harsh temperature and humidity environments, such as high temperature and high humidity, the insulation performance of the bus duct will deteriorate rapidly.

[0065] The operating current data and operating voltage data of the bus duct are important factors affecting the electrical performance of the bus duct, especially when the overload current passes through the copper busbar of the bus duct, which affects the service life of the copper busbar;

[0066] The connection points of the bus duct are the fault-prone points of the bus duct. In this embodiment, the connection points of the bus duct include the connection nodes between the bus duct and another bus duct or electrical equipment. Affected by the installation process, the construction quality of the building where it is located, and the geological factors of the location of the building, the connection points of the bus duct will have different degrees of displacement. In this embodiment, the displacement includes vertical displacement and horizontal displacement. Different degrees of displacement affect the mechanical properties of the connection points, and further affect the service life of the bus duct.

[0067] Therefore, in this embodiment, the data analysis module analyzes and obtains insulation degradation data, electrical degradation parameters and mechanical degradation data from three aspects, namely insulation degradation, electrical degradation and mechanical degradation, so as to facilitate comprehensive evaluation by the data analysis module.

[0068] In this embodiment, the insulation analysis unit confirms the insulation degradation data according to the temperature and humidity data, including:

[0069] Obtain the test data of the last insulation test of the bus duct and the operating time from the last insulation test to the present;

[0070] Based on the temperature and humidity data, confirm several temperature and humidity limit-exceeding events since the last insulation test; the temperature and humidity limit-exceeding events include the temperature and humidity limit-exceeding amplitude and the temperature and humidity limit-exceeding duration;

[0071] Based on the test data and the temperature and humidity over-limit amplitude and temperature and humidity over-limit duration of each temperature and humidity over-limit event, confirm the insulation degradation value corresponding to each temperature and humidity over-limit event;

[0072] The insulation degradation data is confirmed based on the operating time of the bus duct, test data, and insulation degradation values ​​of several temperature and humidity out-of-limit events.

[0073] In this embodiment, the user periodically measures the insulation resistance of the bus duct in order to determine the insulation performance of the bus duct. Under standard operating conditions, the insulation performance of the bus duct decreases over time, and the insulation resistance decreases. Each temperature and humidity exceeding limit event accelerates the degradation of the insulation performance of the bus duct.

[0074] In this embodiment, when the bus duct temperature and humidity data that continuously exceeds the preset event time meets the over-limit conditions, it is judged that a temperature and humidity over-limit event exists; when the temperature in the bus duct temperature and humidity data is greater than the set temperature upper limit, or its temperature is lower than the set temperature lower limit, and / or the humidity is greater than the set humidity upper limit; it is judged that a temperature and humidity over-limit event exists, and the average temperature over-limit amplitude, and / or the average humidity over-limit amplitude are obtained.

[0075] When both the temperature and humidity exceed the limit in a temperature and humidity exceeding limit event, the larger of the average temperature exceeding limit amplitude and the average humidity exceeding limit amplitude is multiplied by 2 as the temperature and humidity exceeding limit amplitude of the current temperature and humidity exceeding limit event.

[0076] When only temperature or humidity exceeds the limit in a temperature and humidity exceeding limit event, the average temperature exceeding limit amplitude or the average humidity exceeding limit amplitude is used as the temperature and humidity exceeding limit amplitude at the current temperature and humidity exceeding limit time.

[0077] In this embodiment, obtaining the average temperature over-limit range or the average humidity over-limit range includes:

[0078] Select multiple sampling points based on the time range of temperature and humidity exceeding limit events;

[0079] Calculating the average temperature over-limit amplitude, including: calculating the percentage of the temperature corresponding to each sampling point exceeding the set temperature upper limit or the temperature being lower than the set temperature lower limit, obtaining the temperature over-limit amplitude of each sampling point, and then calculating the average value of the temperature over-limit amplitudes of each sampling point as the average temperature over-limit amplitude;

[0080] Calculating the average humidity over-limit range includes: calculating the percentage of the humidity corresponding to each sampling point exceeding the set humidity upper limit, obtaining the temperature over-limit range of each sampling point; and then calculating the average value of the humidity over-limit range of each sampling point as the average humidity over-limit range.

[0081] According to the last test data, a lookup table of the temperature and humidity over-limit duration, the temperature and humidity over-limit amplitude, and the insulation degradation value is confirmed; then, based on the temperature and humidity over-limit duration and the temperature and humidity over-limit amplitude of the temperature and humidity over-limit event, the insulation degradation value is obtained by looking up the table, and the insulation degradation value includes the degradation percentage. In this embodiment, the lookup table pre-set with the temperature and humidity over-limit duration, the temperature and humidity over-limit amplitude, and the insulation degradation value is obtained through test analysis.

[0082] In this embodiment, based on the operation time of the bus duct, test data, and insulation degradation values ​​of several temperature and humidity over-limit events, insulation degradation data is confirmed, including:

[0083] The natural degradation percentage under standard operating conditions is obtained based on the operating time; then the insulation degradation data is calculated using the following formula:

[0084]

[0085] Among them, the overall degradation percentage of ZLH, LH zr is the natural degradation percentage; LHI is the insulation degradation value corresponding to the i-th temperature and humidity exceeding limit event.

[0086] The estimated insulation resistance is obtained according to the overall degradation percentage and the last test data. The insulation degradation data includes the overall degradation percentage and the estimated insulation resistance.

[0087] In this embodiment, the electrical analysis unit confirms the electrical degradation data according to the electrical parameters, including:

[0088] Based on the operating current data, multiple current overload events and overload frequencies are obtained, and the current overload events include overload current value and overload time;

[0089] Confirm current degradation data based on multiple current overload events and overload frequencies;

[0090] Obtain bus duct resistance data based on operating voltage data and operating current data;

[0091] Based on the resistance data, confirm the resistance degradation data;

[0092] Based on the current degradation data and the resistance degradation data, the electrical degradation data is confirmed.

[0093] In this embodiment, the overload frequency includes the frequency of the current overload events that have occurred a preset number of times recently. For example, in one embodiment, the overload frequency is the frequency of the three current overload events that have occurred recently. The current overload events are sorted in order according to the time of occurrence, namely, the first current overload event, the second current overload event, and the third current overload event. The overload interval duration between the first current overload event and the third current overload event is obtained, and the overload frequency of the current overload event is obtained by dividing the number of current overload events three times by the overload interval duration. In another embodiment, the overload frequency is the frequency of the 10 current overload events that have occurred recently.

[0094] According to the number of current overload events, a corresponding evaluation model is obtained, and the overload current value and the overload duration of each current overload event are multiplied and input into the evaluation model together with the overload frequency.

[0095] In this embodiment, the evaluation model includes a grey correlation model; a standard comparison database is stored in each evaluation model; the overload current value and the overload duration of each current overload event are multiplied together, and then input into the evaluation model together with the overload frequency to obtain the ranking in the corresponding standard database, and obtain the ranking percentage as the current degradation data; the higher the ranking, the smaller the ranking percentage, and the lighter the bus duct electrical performance degradation; the lower the ranking, the larger the ranking percentage, and the more serious the bus duct electrical performance degradation.

[0096] The resistance degradation data includes the multiple of the current bus duct resistance relative to the standard resistance; it should be noted that the larger the multiple, the more serious the resistance degradation.

[0097] In this embodiment, the electrical degradation data is confirmed based on the current degradation data and the resistance degradation data, and the calculation formula is as follows:

[0098] DQLH=(DLLH) 2 *DZLH;

[0099] Among them, DALH is the electrical degradation data; DLLH is the current degradation data; DZ is the resistance degradation data.

[0100] The larger the electrical degradation data, the more serious the electrical performance degradation of the bus duct.

[0101] According to another embodiment of the present invention, the mechanical analysis unit is used to confirm mechanical degradation data according to mechanical parameters, including:

[0102] Obtain connection methods of several connection points of the bus duct; the connection methods include longitudinal installation and transverse installation;

[0103] Based on the connection mode, horizontal displacement data and vertical displacement data of each connection point of the bus duct, the degradation characteristics of each connection point are obtained, wherein the degradation characteristics include the number and frequency of the horizontal displacement data or the vertical displacement data not meeting the corresponding preset conditions; the degradation characteristics include the main degradation characteristics and the auxiliary degradation characteristics; the preset conditions include being greater than or equal to the preset displacement;

[0104] Based on the degradation characteristics of each connection point, determining the connection degradation degree of each connection point;

[0105] Based on the connection degradation degree of several connection points of the bus duct, the mechanical degradation data of the bus duct is confirmed.

[0106] The specific implementation process of this embodiment includes:

[0107] In this embodiment, the bus duct has at least one connection point, and the connection methods of several connection points of the bus duct and the equipment or other bus ducts can be the same or different, which needs to be confirmed according to the installation environment.

[0108] In this embodiment, based on the connection mode, horizontal displacement data, and vertical displacement data of each connection point of the bus duct, the degradation characteristics of each connection point are obtained, including:

[0109] When the connection point is installed longitudinally, the primary degradation characteristics of the connection point are confirmed based on the horizontal displacement data; the secondary degradation characteristics of the connection point are confirmed based on the vertical displacement data;

[0110] When the connection point is installed horizontally, the main degradation characteristics of the connection point are confirmed based on the vertical displacement data; the auxiliary degradation characteristics of the connection point are confirmed based on the vertical displacement data.

[0111] When a connection point is installed longitudinally, the horizontal displacement at the connection point has a greater impact on it than the vertical displacement. When a connection point is installed transversely, the vertical displacement at the connection point has a greater impact on it than the horizontal displacement. Therefore, it is necessary to confirm the main degradation characteristics and auxiliary degradation characteristics corresponding to each connection point according to the connection method of the connection point.

[0112] It should be noted that, in this embodiment, the longitudinal installation and transverse installation of the connection point are related to the force direction of the copper busbar at the connection point; when the plane where the copper busbar at the bus duct connection point is parallel to the horizontal plane, the connection method at the bus duct connection point is judged to be transverse installation; when the plane where the copper busbar at the bus duct connection point is perpendicular to the horizontal plane, the connection method at the bus duct connection point is judged to be longitudinal installation.

[0113] Based on the degradation characteristics of each connection point, the connection degradation degree of each connection point is determined, and the calculation formula is as follows:

[0114] LJLH=α*H M *CH M +β*H F *CH F ;

[0115] Among them, LJLH is the connection degradation degree; H M The frequency corresponding to the main degradation characteristics; CH M H is the number of times corresponding to the main degradation feature; F The frequency corresponding to the auxiliary degradation feature; CH F is the number of times the auxiliary degradation feature corresponds; α and β are both proportional coefficients, and α is greater than β.

[0116] In this embodiment, based on the connection degradation degree of several connection points of the bus duct, the mechanical degradation data of the bus duct is confirmed, including:

[0117] Based on the connection degradation degree of several connection points of the bus duct, the characteristic connection points are confirmed;

[0118] The connection degradation degree of the characteristic connection point is used as the mechanical degradation data of the bus duct.

[0119] In this embodiment, the connection point with the largest connection degradation degree among several connection points of the bus duct is used as the characteristic connection point; and the connection degradation degree of the characteristic connection point is used as the mechanical degradation data of the bus duct.

[0120] According to another embodiment of the present invention, the data analysis module determines the remaining service life of the bus duct according to several characteristic degradation parameters, including:

[0121] Obtain the bus duct model and total operation time from installation to date;

[0122] The total operating time, insulation degradation data, electrical degradation parameters and mechanical degradation data are input into the life assessment model to obtain the remaining service life of the bus duct; the life assessment model is obtained by training the neural network model.

[0123] The specific implementation process of this embodiment includes:

[0124] In this embodiment, a service life relationship database is obtained based on the model information of the bus duct; the service life relationship database includes the total operating time, insulation degradation data, electrical degradation parameters, mechanical degradation data, remaining service life, and a mapping relationship between the total operating time, insulation degradation data, electrical degradation parameters, mechanical degradation data, and remaining service life.

[0125] The neural network model is trained through the service life relationship database to obtain the service life assessment model.

[0126] In this embodiment, the remaining service life includes the maximum time during which the bus duct operates safely under standard operating conditions, wherein the standard operating conditions include a temperature between 26 and 27 degrees Celsius and a humidity not greater than 50% RH.

[0127] According to another embodiment of the present invention, the system further comprises an alarm module:

[0128] When the remaining service life of the bus duct is less than the set threshold, an alarm message is generated and sent to the management terminal; the alarm message includes the model, number, location and remaining service life of the bus duct.

[0129] The specific implementation process of this embodiment includes:

[0130] In this embodiment, the corresponding threshold is preset according to the load ratio of the average load carried by the bus duct to the rated load and the importance of the load carried. The larger the load ratio, the larger the threshold is set; the more important the load is, the larger the threshold is set.

[0131] It should be noted that the set threshold corresponding to each bus duct in this embodiment is greater than the longest process time for the user to purchase the corresponding bus duct, so as to facilitate the timely purchase of the bus duct for replacement, and at the same time avoid the bus duct being stored for too long due to long-term failure to replace after purchase, thereby affecting the performance of the bus duct.

[0132] In this embodiment, the management terminal includes computers, tablet computers, and smart phones of operation and maintenance monitoring personnel.

[0133] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0134] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A bus duct service life evaluation system based on a multi-source data terminal, characterized in that: The system comprises: A multi-source data acquisition module, wherein the multi-source data acquisition module is used to collect several items of operation data of the bus duct; the several items of operation data include temperature and humidity data, electrical parameters and mechanical parameters; A data processing module, the data processing module is used to confirm a number of degradation parameters according to a number of operation data; the several characteristic degradation parameters include insulation degradation data, electrical degradation parameters and mechanical degradation data; A data analysis module is used to confirm the remaining service life of the bus duct based on a number of characteristic degradation parameters.

2. The bus duct service life evaluation system based on multi-source data terminals according to claim 1, characterized in that: The multi-source data acquisition module comprises: A temperature and humidity sensor, which is used to collect temperature and humidity data of the bus duct in real time during operation; A current sensor, which is used to collect the operating current data of the bus duct in real time; A voltage sensor, which is used to collect the operating voltage data of the bus duct in real time; the electrical parameters include operating current data and operating voltage data; A displacement sensor is used to collect horizontal displacement data and vertical displacement data at a bus duct connection point in real time; the mechanical parameters include horizontal displacement data and vertical displacement data.

3. The bus duct service life evaluation system based on multi-source data terminals according to claim 2, characterized in that: The data analysis module includes: An insulation analysis unit, the insulation analysis unit is used to confirm insulation degradation data based on temperature and humidity data; An electrical analysis unit, the electrical analysis unit being used to confirm electrical degradation data based on electrical parameters; A mechanical analysis unit is used to confirm mechanical degradation data based on mechanical parameters.

4. The bus duct service life evaluation system based on multi-source data terminals according to claim 3, characterized in that: The insulation analysis unit confirms insulation degradation data based on temperature and humidity data, including: Obtain the test data of the last insulation test of the bus duct and the operating time from the last insulation test to the present; Based on the temperature and humidity data, confirm several temperature and humidity limit-exceeding events since the last insulation test; the temperature and humidity limit-exceeding events include the temperature and humidity limit-exceeding amplitude and the temperature and humidity limit-exceeding duration; Based on the test data and the temperature and humidity over-limit amplitude and temperature and humidity over-limit duration of each temperature and humidity over-limit event, confirm the insulation degradation value corresponding to each temperature and humidity over-limit event; The insulation degradation data is confirmed based on the operating time of the bus duct, test data, and insulation degradation values ​​of several temperature and humidity out-of-limit events.

5. The bus duct service life evaluation system based on multi-source data terminals according to claim 3, characterized in that: The electrical analysis unit confirms the electrical degradation data based on the electrical parameters, including: Based on the operating current data, multiple current overload events and overload frequencies are obtained, and the current overload events include overload current value and overload time; Confirm current degradation data based on multiple current overload events and overload frequencies; Obtain bus duct resistance data based on operating voltage data and operating current data; Based on the resistance data, confirm the resistance degradation data; Based on the current degradation data and the resistance degradation data, the electrical degradation data is confirmed.

6. The bus duct service life evaluation system based on multi-source data terminals according to claim 3, characterized in that: The mechanical analysis unit is used to confirm mechanical degradation data based on mechanical parameters, including: Obtain connection methods of several connection points of the bus duct; the connection methods include longitudinal installation and transverse installation; Based on the connection mode, horizontal displacement data and vertical displacement data of each connection point of the bus duct, the degradation characteristics of each connection point are obtained, wherein the degradation characteristics include the number and frequency of the horizontal displacement data or the vertical displacement data not meeting the corresponding preset conditions; the degradation characteristics include the main degradation characteristics and the auxiliary degradation characteristics; the preset conditions include being greater than or equal to the preset displacement; Based on the degradation characteristics of each connection point, determining the connection degradation degree of each connection point; Based on the connection degradation degree of several connection points of the bus duct, the mechanical degradation data of the bus duct is confirmed.

7. The bus duct service life evaluation system based on multi-source data terminals according to claim 6, characterized in that: Based on the connection mode, horizontal displacement data and vertical displacement data of each connection point of the bus duct, the degradation characteristics of each connection point are obtained, including: When the connection point is installed longitudinally, the primary degradation characteristics of the connection point are confirmed based on the horizontal displacement data; the secondary degradation characteristics of the connection point are confirmed based on the vertical displacement data; When the connection point is installed horizontally, the main degradation characteristics of the connection point are confirmed based on the vertical displacement data; the auxiliary degradation characteristics of the connection point are confirmed based on the vertical displacement data.

8. The bus duct service life evaluation system based on multi-source data terminals according to claim 7, characterized in that: Based on the connection degradation degree of several connection points of the bus duct, the mechanical degradation data of the bus duct is confirmed, including: Based on the connection degradation degree of several connection points of the bus duct, the characteristic connection points are confirmed; The connection degradation degree of the characteristic connection point is used as the mechanical degradation data of the bus duct.

9. The bus duct service life evaluation system based on multi-source data terminals according to claim 1, characterized in that: The data analysis module determines the remaining service life of the bus duct based on several characteristic degradation parameters, including: Obtain the bus duct model and total operation time from installation to date; The total operating time, insulation degradation data, electrical degradation parameters and mechanical degradation data are input into the life assessment model to obtain the remaining service life of the bus duct; the life assessment model is obtained by training the neural network model.

10. The bus duct service life evaluation system based on multi-source data terminals according to claim 1, characterized in that: The system also includes an alarm module: When the remaining service life of the bus duct is less than the set threshold, an alarm message is generated and sent to the management terminal; the alarm message includes the model, number, location and remaining service life of the bus duct.

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