Busway Service Life Evaluation System Based on Multi-Source Data Terminals

Through multi-source data acquisition and comprehensive analysis, the busbar duct life evaluation is achieved efficiently and accurately, solving the problems of low efficiency and low accuracy in the existing technology.

CN119337723BActive Publication Date: 2025-05-30GUANGDONG CESKO GENERAL POWER TECHNOLOGY CO LTD +1
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Patent Information

Application Number
CN202411446105.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-16
Publication Date
2025-05-30
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

The bus duct service life evaluation system based on multi-source data terminals is adopted. The multi-source data acquisition module collects temperature and humidity data, electrical parameters and mechanical parameters, the data processing module confirms the deterioration parameters, and the data analysis module comprehensively evaluates the remaining service life of the bus duct.

Benefits of technology

It improves the accuracy and efficiency of busbar life evaluation, reduces manual intervention, saves human resources, and improves work efficiency.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention discloses a busbar trunking service life evaluation system based on a multi-source data terminal. The system includes: a multi-source data acquisition module for acquiring several items of operating data of the busbar trunking; the several items of operating data include temperature and humidity data, electrical parameters, and mechanical parameters; a data processing module for determining several items of deterioration parameters according to the several items of operating data; the several items of characteristic deterioration parameters include insulation deterioration data, electrical deterioration parameters, and mechanical deterioration data; a data analysis module for determining the remaining service life of the busbar trunking according to the several items of characteristic deterioration parameters. It solves the technical problem that the life evaluation of the busbar trunking in the prior art is inconvenient.
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Description

Technical Field

[0001] The present invention relates to the technical field of busbar trunking monitoring and evaluation, and specifically to a busbar trunking service life evaluation system based on a multi-source data terminal. Background Art

[0002] A busbar trunking is a busbar system composed of a metal plate as a protective shell, busbars, insulating materials, and related accessories. It is used to distribute a relatively large power to each component of the system and is commonly used for large-current transmission compared with cables. The service life of the busbar trunking is affected by various factors.

[0003] In the prior art, the operating current data, temperature, and other data of the busbar trunking are monitored manually in real time to evaluate the operating status and service life of the busbar trunking, so as to replace the busbar trunking in a timely manner. 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 the service life evaluation of the busbar trunking. Summary of the Invention

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

[0005] The present invention provides a busbar trunking service life evaluation system based on a multi-source data terminal, and the system includes:

[0006] A multi-source data acquisition module, which is used to acquire several items of operating data of the busbar trunking; the several items of operating data include temperature and humidity data, electrical parameters, and mechanical parameters;

[0007] A data processing module, which is used to confirm several items of deterioration parameters according to the several items of operating data; the several items of characteristic deterioration parameters include insulation deterioration data, electrical deterioration parameters, and mechanical deterioration data;

[0008] A data analysis module, which is used to confirm the remaining service life of the busbar trunking according to the several items of characteristic deterioration parameters.

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

[0010] A temperature and humidity sensor, which is used to acquire the temperature and humidity data of the busbar trunking during operation in real time;

[0011] A current sensor, which is used to acquire the operating current data of the busbar trunking in real time;

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

[0013] A displacement sensor for collecting horizontal displacement data and vertical displacement data at the connection points of the busbar in real time; the mechanical parameters include horizontal displacement data and vertical displacement data.

[0014] Further, the data analysis module includes:

[0015] An insulation analysis unit for confirming insulation degradation data according to temperature and humidity data;

[0016] An electrical analysis unit for confirming electrical degradation data according to electrical parameters;

[0017] A mechanical analysis unit for confirming mechanical degradation data according to mechanical parameters.

[0018] Further, the insulation analysis unit confirms insulation degradation data according to temperature and humidity data, including:

[0019] Obtaining the test data of the last insulation detection of the busbar and the operation duration since the last insulation detection;

[0020] Based on the temperature and humidity data, confirming several temperature and humidity over-limit events since the last insulation detection; the temperature and humidity over-limit events include the over-limit amplitude and duration of temperature and humidity;

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

[0022] Based on the operation duration of the busbar, the test data and the insulation degradation values of several temperature and humidity over-limit events, confirming the insulation degradation data.

[0023] Further, the electrical analysis unit confirms electrical degradation data according to electrical parameters, including:

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

[0025] Based on multiple current overload events and overload frequencies, confirming the current degradation data;

[0026] Based on the operating voltage data and operating current data, obtaining the busbar resistance data;

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

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

[0029] Further, the mechanical analysis unit is used to confirm mechanical deterioration data according to mechanical parameters, including:

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

[0031] Based on the connection method, horizontal displacement data, and vertical displacement data of each connection point of the busbar trunking, obtain the deterioration characteristics of each connection point. The deterioration characteristics include the number and frequency of times when the horizontal displacement data or vertical displacement data do not meet the corresponding preset conditions; the deterioration characteristics include main deterioration characteristics and secondary deterioration characteristics; the preset conditions include being greater than or equal to a preset displacement;

[0032] Based on the deterioration characteristics of each connection point, confirm the connection deterioration degree of each connection point;

[0033] Based on the connection deterioration degrees of several connection points of the busbar trunking, confirm the mechanical deterioration data of the busbar trunking.

[0034] Further, based on the connection method, horizontal displacement data, and vertical displacement data of each connection point of the busbar trunking, obtain the deterioration characteristics of each connection point, including:

[0035] When the connection point is longitudinally installed, confirm the main deterioration characteristics of the connection point according to the horizontal displacement data; confirm the secondary deterioration characteristics of the connection point according to the vertical displacement data;

[0036] When the connection point is transversely installed, confirm the main deterioration characteristics of the connection point according to the vertical displacement data; confirm the secondary deterioration characteristics of the connection point according to the vertical displacement data.

[0037] Further, based on the connection deterioration degrees of several connection points of the busbar trunking, confirm the mechanical deterioration data of the busbar trunking, including:

[0038] Based on the connection deterioration degrees of several connection points of the busbar trunking, confirm characteristic connection points;

[0039] Take the connection deterioration degree of the characteristic connection point as the mechanical deterioration data of the busbar trunking.

[0040] Further, the data analysis module confirms the remaining service life of the busbar trunking according to several characteristic deterioration parameters, including:

[0041] Obtain the model of the busbar trunking and the total operating duration since installation;

[0042] Input the total operating duration, insulation deterioration data, electrical deterioration parameters, and mechanical deterioration data into the life assessment model to obtain the remaining service life of the busbar trunking; the life assessment model is obtained by training a neural network model.

[0043] Further, the system further includes an alarm module:

[0044] When the remaining service life of the busway 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 busway.

[0045] Compared with the prior art, the beneficial effects of the present invention are:

[0046] In the present invention, a multi-source data acquisition module is used to collect several items of operating data of the busway, making the data acquisition process more convenient; the several items of operating data are processed by the data processing module to obtain several items of characteristic degradation parameters, so that the data analysis module can comprehensively evaluate from multiple aspects and obtain the remaining service life of the busway, making the remaining service life of the busway more accurate, saving manpower, and improving work efficiency. It solves the technical problem of inconvenient life evaluation of busways in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a schematic block diagram of the busway service life evaluation system based on a multi-source data terminal according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Apparently, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0049] As Figure 1 shown, a busway service life evaluation system based on a multi-source data terminal, a busway service life evaluation system based on a multi-source data terminal, the system includes:

[0050] A multi-source data acquisition module, which is used to collect several items of operating data of the busway; the several items of operating data include temperature and humidity data, electrical parameters, and mechanical parameters;

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

[0052] A data analysis module, which is used to confirm the remaining service life of the busway according to the several items of characteristic degradation parameters.

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

[0054] In this embodiment, a multi-source data acquisition module is used to acquire several items of operating data of the busbar trunking, making the data acquisition process more convenient; several items of operating data are processed by a data processing module to obtain several items of characteristic degradation parameters, so that a data analysis module can conduct a comprehensive evaluation from multiple aspects and obtain the remaining service life of the busbar trunking, making the remaining service life of the busbar trunking more accurate, saving manpower, and improving work efficiency. This solves the technical problem of inconvenient life evaluation of busbar trunkings in the prior art.

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

[0056] A temperature and humidity sensor, which is used to acquire the temperature and humidity data of the busbar trunking during operation in real time;

[0057] A current sensor, which is used to acquire the operating current data of the busbar trunking in real time;

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

[0059] A displacement sensor, which is used to acquire the horizontal displacement data and the vertical displacement data at the connection points of the busbar trunking in real time; the mechanical parameters include the horizontal displacement data and the vertical displacement data.

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

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

[0062] An electrical analysis unit, which is used to confirm the electrical degradation data according to the electrical parameters;

[0063] A mechanical analysis unit, which is used to confirm the mechanical degradation data according to the mechanical parameters.

[0064] The temperature and humidity data is an important factor affecting the insulation performance of the busbar trunking. In a harsh temperature and humidity environment, such as high temperature and high humidity, the insulation performance of the busbar trunking deteriorates rapidly.

[0065] The operating current data and the operating voltage data of the busbar trunking are important factors affecting the electrical performance of the busbar trunking. Especially when an overload current passes through the copper bar of the busbar trunking, it affects the service life of the copper bar;

[0066] The connection points of bus ducts are the prone-to-fault points of bus ducts. In this embodiment, the connection points of bus ducts include the connection nodes between a bus duct and another bus duct or an electrical equipment; affected by installation technology, the construction quality of the building where it is located, and the geological factors of the location of the building; displacements of different degrees will occur at the connection points of bus ducts; in this embodiment, the displacements include two situations: vertical displacement and horizontal displacement. Displacements of different degrees 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: insulation degradation, electrical degradation, and mechanical degradation respectively, so as to facilitate the 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 detection of the bus duct and the operation duration from the last insulation detection to the present;

[0070] Based on the temperature and humidity data, confirm several temperature and humidity over-limit events from the last insulation detection to the present; the temperature and humidity over-limit events include the over-limit amplitude and the over-limit duration of temperature and humidity;

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

[0072] Based on the operation duration of the bus duct, the test data, and the insulation degradation values of several temperature and humidity over-limit events, confirm the insulation degradation data.

[0073] In this embodiment, for the insulation performance of the bus duct, the user periodically measures the insulation resistance of the bus duct; under standard operating conditions, the insulation performance of the bus duct decreases with time, and the insulation resistance decreases; and each temperature and humidity over-limit event accelerates the decline of the insulation performance of the bus duct.

[0074] In this embodiment, when the temperature and humidity data of the bus duct continuously exceed the over-limit condition for a preset event duration, it is determined that there is a temperature and humidity over-limit event; when the temperature in the temperature and humidity data of the bus duct 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 determined that there is a temperature and humidity over-limit event, and the average over-limit amplitude of temperature, and / or the average over-limit amplitude of humidity is obtained.

[0075] When both the temperature and humidity exceed the limit simultaneously in a temperature and humidity over-limit event, multiply the larger one of the average over-limit amplitude of temperature and the average over-limit amplitude of humidity by 2 as the over-limit amplitude of temperature and humidity of the current temperature and humidity over-limit event.

[0076] When only temperature overlimit or humidity overlimit exists in a temperature-humidity overlimit event, the average temperature overlimit amplitude or the average humidity overlimit amplitude is used as the temperature-humidity overlimit amplitude of the current temperature-humidity overlimit time.

[0077] In this embodiment, obtaining the average temperature overlimit amplitude or the average humidity overlimit amplitude includes:

[0078] Selecting multiple sampling points according to the time range of the temperature-humidity overlimit event;

[0079] Calculating the average temperature overlimit amplitude includes: calculating the percentage of the temperature at each sampling point exceeding the set temperature upper limit or being lower than the set temperature lower limit, obtaining the temperature overlimit amplitude at each sampling point, and then calculating the average value of the temperature overlimit amplitudes at each sampling point as the average temperature overlimit amplitude;

[0080] Calculating the average humidity overlimit amplitude includes: calculating the percentage of the humidity at each sampling point exceeding the set humidity upper limit, obtaining the temperature overlimit amplitude at each sampling point; and then calculating the average value of the humidity overlimit amplitudes at each sampling point as the average humidity overlimit amplitude.

[0081] According to the previous test data, confirm the look-up table of the temperature-humidity overlimit duration, the temperature-humidity overlimit amplitude and the insulation degradation value; then based on the temperature-humidity overlimit duration and the temperature-humidity overlimit amplitude of the temperature-humidity overlimit event, obtain the insulation degradation value by looking up the table, and the insulation degradation value includes the degradation percentage. In this embodiment, the look-up table of the temperature-humidity overlimit duration, the temperature-humidity overlimit amplitude and the insulation degradation value is obtained through experimental analysis in advance.

[0082] In this embodiment, based on the operation duration of the busbar, the test data and the insulation degradation values of several temperature-humidity overlimit events, confirm the insulation degradation data, including:

[0083] Obtaining the natural degradation percentage under the standard operating condition based on the operation duration; then calculating the insulation degradation data, and the formula is as follows:

[0084]

[0085] where, ZLH is the overall degradation percentage, LH zr is the natural degradation percentage; LHI is the insulation degradation value corresponding to the i-th temperature-humidity overlimit event.

[0086] Obtain the estimated insulation resistance according to the overall degradation percentage and the previous 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, obtain multiple current overload events and overload frequencies. The current overload events include overload current values and overload times;

[0089] Based on the multiple current overload events and overload frequencies, confirm the current degradation data;

[0090] Based on the operating voltage data and operating current data, obtain the busbar resistance data;

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

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

[0093] In this embodiment, the overload frequency includes the frequency of the current overload events that have occurred in the most recent preset number of times. For example, in one embodiment, the overload frequency is the frequency of the current overload events that have occurred in the most recent 3 times. Sort them in order of the occurrence time of the current overload events, which are the first current overload event, the second current overload event, and the third current overload event in sequence; obtain the overload interval duration between the first current overload event and the third current overload event, and divide the number of current overload events three times by the overload interval duration to obtain the overload frequency of the current overload events. In another embodiment, the overload frequency is the frequency of the current overload events that have occurred in the most recent 10 times.

[0094] According to the number of current overload events, obtain the corresponding evaluation model, multiply the overload current value and the overload duration of each current overload event, and input them into the evaluation model together with the overload frequency.

[0095] In this embodiment, the evaluation model includes a grey relational model; a standard comparison database is stored in each evaluation model; multiply the overload current value and the overload duration of each current overload event, and input them 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 less severely the electrical performance of the busbar is degraded; the lower the ranking, the larger the ranking percentage, and the more severely the electrical performance of the busbar is degraded.

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

[0097] In this embodiment, based on the current degradation data and the resistance degradation data, confirm the electrical 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 greater the electrical degradation data, the more serious the degradation of the electrical performance of the busway.

[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 the connection methods of several connection points of the busway; the connection methods include longitudinal installation and transverse installation;

[0103] Based on the connection method, horizontal displacement data, and vertical displacement data of each connection point of the busway, obtain the degradation characteristics of each connection point, where the degradation characteristics include the number and frequency of times that do not meet the corresponding preset conditions in the horizontal displacement data or vertical displacement data; the degradation characteristics include main degradation characteristics and auxiliary degradation characteristics; the preset conditions include being greater than or equal to a preset displacement;

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

[0105] Based on the connection degradation degrees of several connection points of the busway, confirm the mechanical degradation data of the busway.

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

[0107] In this embodiment, the busway has at least 1 connection point. The connection methods of several connection points of the busway with equipment or other busways can be the same or different, and specifically need to be confirmed according to the installation environment.

[0108] In this embodiment, based on the connection method, horizontal displacement data, and vertical displacement data of each connection point of the busway, obtain the degradation characteristics of each connection point, including:

[0109] When the connection point is longitudinally installed, confirm the main degradation characteristics of the connection point according to the horizontal displacement data; confirm the auxiliary degradation characteristics of the connection point according to the vertical displacement data;

[0110] When the connection point is transversely installed, confirm the main degradation characteristics of the connection point according to the vertical displacement data; confirm the auxiliary degradation characteristics of the connection point according to the vertical displacement data.

[0111] When a connection point is longitudinally installed, the horizontal displacement at the connection point has a greater impact on it than the vertical displacement. When a connection point is transversely installed, 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 the lateral installation of the connection points are related to the force direction of the copper busbar at the connection; when the plane where the copper busbar is located at the connection point of the busway is parallel to the horizontal plane, it is determined that the connection method at the connection point of the busway is lateral installation; when the plane where the copper busbar is located at the connection point of the busway is perpendicular to the horizontal plane, it is determined that the connection method at the connection point of the busway is longitudinal installation.

[0113] Based on the deterioration characteristics of each connection point, the connection deterioration degree of each connection point is confirmed, 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 deterioration degree; H M is the frequency corresponding to the main deterioration characteristic; CH M is the number of times corresponding to the main deterioration characteristic; H F is the frequency corresponding to the secondary deterioration characteristic; CH F is the number of times corresponding to the secondary deterioration characteristic; both α and β are proportionality coefficients, and α is greater than β.

[0116] In this embodiment, based on the connection deterioration degrees of several connection points of the busway, the mechanical deterioration data of the busway are confirmed, including:

[0117] Based on the connection deterioration degrees of several connection points of the busway, characteristic connection points are confirmed;

[0118] The connection deterioration degree of the characteristic connection point is used as the mechanical deterioration data of the busway.

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

[0120] According to another embodiment of the present invention, the data analysis module confirms the remaining service life of the busway according to several characteristic deterioration parameters, including:

[0121] Obtain the model of the busway and the total operating duration from installation to now;

[0122] Input the total operating duration, insulation deterioration data, electrical deterioration parameters, and mechanical deterioration data into the life evaluation model to obtain the remaining service life of the busway; the life evaluation model is obtained by training a neural network model.

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

[0124] In this embodiment, a service life relationship database is obtained according to the model information of the busway; the service life relationship database includes the total operating duration, insulation degradation data, electrical degradation parameters, mechanical degradation data, remaining service life, and the mapping relationships among the total operating duration, 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 a life evaluation model.

[0126] In this embodiment, the remaining service life includes the longest time for the busway to operate safely under standard operating conditions. The standard operating conditions include a temperature between 26 - 27 degrees Celsius and a humidity not greater than 50%RH.

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

[0128] When the remaining service life of the busway 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 busway.

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

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

[0131] It should be noted that the set threshold corresponding to each busway in this embodiment is greater than the longest process time for the user to purchase the corresponding busway, so as to facilitate the timely purchase of the busway for replacement, and at the same time avoid the performance of the busway being affected due to long-term storage after purchase without replacement.

[0132] In this embodiment, the management terminal includes the computers, tablets, and smartphones of the operation and maintenance monitoring personnel, etc.

[0133] It should be noted that in this text, 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 actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising one..." does not exclude the existence of additional identical elements in the process, method, article or device comprising said element.

[0134] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced 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 number of degradation parameters include insulation degradation data, electrical degradation parameters and mechanical degradation data; A data analysis module, the data analysis module is used to determine the remaining service life of the bus duct according to a number of characteristic degradation parameters; Wherein, the multi-source data acquisition module includes a displacement sensor, and the displacement sensor is used to collect horizontal displacement data and vertical displacement data at the bus duct connection point in real time; the mechanical parameters include horizontal displacement data and vertical displacement data; The data analysis module includes a mechanical analysis unit, which is used to confirm mechanical degradation data according to 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; Confirm the mechanical degradation data of the bus duct based on the connection degradation degree of several connection points of the bus duct; Wherein, 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.

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 further includes: 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 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.

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 further includes: An insulation analysis unit, the insulation analysis unit is used to confirm insulation degradation data based on temperature and humidity data; The electrical analysis unit is used to confirm the electrical degradation data according to the electrical 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 1, 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.

7. 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.

8. 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.

Citation Information

Patent Citations

  • Intelligent bus duct simulating, monitoring and analyzing system

    CN102033178A