CN116167200A - Service life detection method and device for power distribution cabinet - Google Patents
Service life detection method and device for power distribution cabinet Download PDFInfo
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Abstract
The invention discloses a service life detection method and device for a power distribution cabinet, wherein the method comprises the following steps: obtaining connection condition information of a circuit and an electrical element of a power distribution cabinet; obtaining aging degree information of the circuit and the electrical element; inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model as input information to obtain first service life information; acquiring maintenance frequency information of the power distribution cabinet; obtaining a first influence parameter according to the maintenance frequency information; and adjusting the first service life information according to the first influence parameter to obtain second service life information. The technical problem of the inaccurate detection of switch board life because of the incomplete of switch board's detection is solved.
Description
Technical Field
The invention relates to the technical field of power distribution cabinets, in particular to a service life detection method and device for a power distribution cabinet.
Background
Under the background of rapid development of economy and technology, power distribution cabinets for distributing and controlling electric energy use correspondingly achieve rapid development, and the power distribution cabinets are increasingly developed towards the technical, intelligent and intensive directions.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology:
the service life of the power distribution cabinet is shortened due to the fact that various detection of the power distribution cabinet is incomplete and imperfect, and further the service life of the power distribution cabinet is detected and evaluated inaccurately.
Disclosure of Invention
According to the service life detection method and device for the power distribution cabinet, the technical problem that the service life of the power distribution cabinet is detected inaccurately due to incomplete detection of the power distribution cabinet is solved, the power distribution cabinet is detected in an omnibearing manner, and the service life of the power distribution cabinet is detected more accurately, deeply and comprehensively.
The embodiment of the application provides a service life detection method of a power distribution cabinet, wherein the method comprises the following steps: obtaining connection condition information of a circuit and an electrical element of a power distribution cabinet; obtaining aging degree information of the circuit and the electrical element; inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model as input information to obtain first service life information; acquiring maintenance frequency information of the power distribution cabinet; obtaining a first influence parameter according to the maintenance frequency information; and adjusting the first service life information according to the first influence parameter to obtain second service life information.
On the other hand, the application still provides a switch board life detection device, wherein, the device includes: a first obtaining unit: the first obtaining unit is used for obtaining connection condition information of the circuit and the electric element of the power distribution cabinet; a second obtaining unit: the second obtaining unit is used for obtaining the aging degree information of the circuit and the electric element; a first input unit: the first input unit is used for inputting connection condition information of the circuit and the electric element and aging degree information of the circuit and the electric element into a neural network model as input information to obtain first service life information; a third obtaining unit: the third obtaining unit is used for obtaining maintenance frequency information of the power distribution cabinet; fourth obtaining unit: the fourth obtaining unit is used for obtaining a first influence parameter according to the maintenance frequency information; a first adjusting unit: the first adjusting unit is used for adjusting the first service life information according to the first influencing parameter to obtain second service life information.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
the training model is input through the connection condition of the internal circuit and the electrical element of the power distribution cabinet and the aging degree of the electrical element to carry out continuous training, so that the service life information of the power distribution cabinet output by the training model is more accurate, and the acquired service life information is corrected through the maintenance information of the power distribution cabinet, so that the service life information of the power distribution cabinet is accurately judged, and the service life technical effect of the power distribution cabinet is improved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of a method for detecting service life of a power distribution cabinet according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a service life detection device of a power distribution cabinet according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Reference numerals illustrate: the first obtaining unit 11, the second obtaining unit 12, the first input unit 13, the third obtaining unit 14, the fourth obtaining unit 15, the first adjusting unit 16, the bus 300, the receiver 301, the processor 302, the transmitter 303, the memory 304, the bus interface 305.
Detailed Description
According to the service life detection method and device for the power distribution cabinet, the technical problem that the service life of the power distribution cabinet is detected inaccurately due to incomplete detection of the power distribution cabinet is solved, the power distribution cabinet is detected in an omnibearing manner, and the service life of the power distribution cabinet is detected more accurately, deeply and comprehensively.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
Summary of the application
Under the background of rapid development of economy and technology, power distribution cabinets for distributing and controlling electric energy use correspondingly achieve rapid development, and the power distribution cabinets are increasingly developed towards the technical, intelligent and intensive directions. The service life of the power distribution cabinet is shortened due to the fact that various detection of the power distribution cabinet is incomplete and imperfect, and further the service life of the power distribution cabinet is detected and evaluated inaccurately.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
the embodiment of the application provides a service life detection method of a power distribution cabinet, wherein the method comprises the following steps: obtaining connection condition information of a circuit and an electrical element of a power distribution cabinet; obtaining aging degree information of the circuit and the electrical element; inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model as input information to obtain first service life information; acquiring maintenance frequency information of the power distribution cabinet; obtaining a first influence parameter according to the maintenance frequency information; and adjusting the first service life information according to the first influence parameter to obtain second service life information.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for detecting a service life of a power distribution cabinet, where the method further includes:
step S100: obtaining connection condition information of a circuit and an electrical element of a power distribution cabinet;
in particular, the power distribution cabinet is the last-stage device of the power distribution system. Power distribution cabinets are used in situations where loads are relatively distributed and loops are fewer, and the power of a certain circuit of a power distribution device at a previous stage is distributed to nearby loads, and the device at the previous stage should provide protection, monitoring and control for the loads. The electrical components comprise components such as a breaker, a contactor, an intermediate relay and the like in the power distribution cabinet, and connection condition information of circuits and the electrical components in the power distribution cabinet can be obtained.
Step S200: obtaining aging degree information of the circuit and the electrical element;
specifically, in the use process of the power distribution cabinet, the internal circuits and the electrical elements of the power distribution cabinet are aged gradually along with time, the aging degrees are different, the aging modes are different, and the like, and the loss degree of the power distribution cabinet can be further obtained by obtaining the aging degrees of the circuits and the electrical elements.
Step S300: inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model as input information to obtain first service life information;
specifically, knowing the connection condition information of the circuit and the electrical element and the aging degree information of the circuit and the electrical element, the connection condition information of the circuit and the electrical element and the aging degree information of the circuit and the electrical element can be used as input information to be input into a neural network model, the neural network model is a training model, input data can be continuously trained, and further first service life information is obtained, wherein the first service life information is preliminary estimation of the connection condition of the circuit and the electrical element and the aging degree of the electrical element.
Step S400: acquiring maintenance frequency information of the power distribution cabinet;
specifically, the maintenance frequency information is daily maintenance information of the power distribution cabinet, maintenance with different time frequency can be performed according to the service time, the loss degree and the like, the power distribution cabinet can work normally through maintenance, excessive loss caused by too long service time is avoided, and the service life of the power distribution cabinet is further prolonged.
Step S500: obtaining a first influence parameter according to the maintenance frequency information;
step S600: and adjusting the first service life information according to the first influence parameter to obtain second service life information.
Specifically, the first influence parameter is an influence parameter of maintenance frequency information of the power distribution cabinet on service life information, when the maintenance frequency information is faster, namely, the power distribution cabinet is frequently maintained, so that the service life of the power distribution cabinet is prolonged, otherwise, when the maintenance frequency information is slower, namely, the maintenance frequency of the power distribution cabinet is less, so that the service life of the power distribution cabinet is reduced. And then according to the first influence parameter, adjust first life information obtains second life information, second life information is according to maintenance frequency information right after first life information adjusts, through taking into account the influence of maintenance frequency to the switch board life simultaneously, has reached the technological effect that makes the life information of switch board more accurate.
The step S300 further includes:
step S310: inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model, wherein the neural network model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the connection condition information of the circuit and the electric element, the aging degree information of the circuit and the electric element and the identification information for identifying the service life of the power distribution cabinet;
step S320: and obtaining output information of the neural network model, wherein the output information comprises first service life information of the power distribution cabinet.
Specifically, to obtain the accurate first service life information of the power distribution cabinet, the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element can be input into the neural network model for continuous training, so that the output training result can be more accurate. The training model is a Neural network model, namely a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by a large number of simple processing units (called neurons) widely connected with each other, reflects many basic characteristics of brain functions of a human, and is a highly complex nonlinear power learning system. The neural network model is described based on a mathematical model of neurons. An artificial neural network (Artificial Neural Networks) is a description of the first order nature of the human brain system. In brief, it is a mathematical model. In the embodiment of the application, the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element are input into a neural network model, and the neural network model is trained by using the service life information of the identified power distribution cabinet.
Further, the process of training the neural network model is essentially a process of supervised learning. The plurality of sets of training data specifically comprises: connection condition information of the circuit and the electric element, aging degree information of the circuit and the electric element and identification information for identifying the service life of the power distribution cabinet. The neural network model outputs first service life information of the power distribution cabinet by inputting connection condition information of the circuit and the electric element and aging degree information of the circuit and the electric element, checks the output information with the service life information of the power distribution cabinet with the identification function, and if the output information is consistent with the service life information requirement of the power distribution cabinet with the identification function, the data supervision study is completed, and then the next group of data supervision study is carried out; and if the output information is inconsistent with the service life information requirement of the power distribution cabinet with the identification function, the neural network learning model adjusts itself until the output result of the neural network learning model is consistent with the service life information requirement of the power distribution cabinet with the identification function, and then the supervision learning of the next group of data is performed. The neural network learning model is continuously corrected and optimized through training data, the accuracy of the neural network learning model for processing the information is improved through the process of supervised learning, and further the technical effect that the service life information of the power distribution cabinet is more accurate is achieved.
The step S200 further includes:
step S210: obtaining sensitivity information of the electrical element;
step S220: obtaining first image information, wherein the first image information comprises initial image information of the circuit and the electric element;
step S230: obtaining initial color information of the circuit and the electrical element according to the first image information;
step S240: obtaining second image information, wherein the second image information comprises real-time image information of the circuit and the electric element;
step S250: acquiring real-time color information of the circuit and the electric element according to the second image information;
step S260: obtaining first color difference information according to the real-time color information and the initial color information;
step S270: and obtaining the aging degree information of the circuit and the electric element according to the sensitivity information of the electric element and the first color difference information of the circuit and the electric element.
In particular, to obtain the ageing degree information of the circuit and the electric element, the sensitivity information of the electric element can be obtained, the sensitivity is a sign for measuring a physical instrument, in particular, the measured minimum quantity is smaller, the sensitivity of the instrument is higher, the first image information can be obtained, the first image information is initial image information comprising the circuit and the electric element, namely factory image information or unused image information, further according to the first image information, initial color information of the circuit and the electric element is obtained, the initial color information of the circuit and the electric element is real in color when not used, no abrasion exists, in addition, the second image information can be obtained, the second image information comprises real-time image information of the circuit and the electric element, the real-time image information comprises image information of the circuit and the electric element in a using process, further according to the second image information, the real-time color information of the circuit and the electric element is obtained, the real-time color information is the color information of the circuit and the electric element in a using process, the initial color information is obtained according to the first color information and the initial color information is subtracted from the initial color information of the circuit and the electric element in a process, the color information is further subtracted from the initial color information and the initial color information is obtained according to the initial color information of the initial color information and the initial color information of the first color information and the electric element, the obtained aging degree information of the circuit and the electrical element is more accurate and has more real technical effects.
Further, the embodiment of the application further comprises:
step S710: obtaining first time of the power distribution cabinet, wherein the first time is the starting time of the power distribution cabinet;
step S720: obtaining second time of the power distribution cabinet, wherein the second time is the second time when the power distribution cabinet enters a normal working state;
step S730: obtaining a first time difference according to the second time and the first time;
step S740: obtaining first time difference grade information according to the first time difference;
step S750: obtaining a second influence parameter according to the first time difference grade information;
step S760: and adjusting the second service life information according to the second influence parameter to obtain third service life information.
Specifically, in order to further detect the service life of the power distribution cabinet, the first time is the power distribution cabinet starting time, the second time of the power distribution cabinet is obtained, the second time is the second time of the power distribution cabinet entering the normal working state, further, according to the second time and the first time, the first time difference is the time difference of the power distribution cabinet entering the normal working state from starting up, and according to the first time difference, the first time difference grade information is obtained, the first time difference grade information is classified, further, according to the first time difference grade information, the second influence parameter is the influence of the power distribution cabinet entering the normal working state from starting up to the power distribution cabinet, the third service life information is obtained by adjusting the second service life information through the second influence parameter, the third service life information is the connection condition information of the circuit and the electric element, the power distribution element, the frequency of the power distribution element, the ageing information of the power distribution element, the power distribution element entering the normal working state, and the service life information of the power distribution cabinet are more accurate and the service life information.
Further, the embodiment of the application further comprises:
step S810: obtaining historical fault information of the power distribution cabinet;
step S820: obtaining the fault type of the historical fault information;
step S830: obtaining a preset high-risk fault type library;
step S840: judging whether the historical fault information is in the preset high-risk fault type library or not, and obtaining a judging result;
and step S850, adjusting the second service life information according to the judging result.
Specifically, in order to detect the service life of the power distribution cabinet more comprehensively, the historical fault information of the power distribution cabinet can be obtained, the historical fault information is the fault information of the power distribution cabinet, further, the fault type of the historical fault information is obtained, the fault type is obtained by carrying out fault classification on the historical fault information, further, part faults, line faults and the like can be understood, a preset high-risk fault type library can be obtained, the preset high-risk fault type library is a library established for the high-risk fault type, namely, the risk coefficient is extremely high, the power distribution cabinet is greatly damaged or has serious consequences and the like, whether the historical fault information is in the preset high-risk fault type library or not is judged, namely, whether the historical fault information is a high-risk fault is judged, a judging result is obtained, the judging result comprises two conditions, further, the second service life information is adjusted according to the judging result, and further, when the historical fault information has the high-risk fault, the power distribution cabinet is possibly damaged greatly, the service life of the power distribution cabinet is further, and the service life of the power distribution cabinet is more comprehensively estimated.
The step S850 further includes:
step S851: if the judging result is that the historical fault information is in the preset high-risk fault type library, a third influence parameter is obtained;
step S852: according to the third influence parameter, the second service life information is adjusted, and fourth service life information is obtained;
step S853: if the judging result is that the historical fault information is not in the preset high-risk fault type library, a fourth influence parameter is obtained;
step S854: and adjusting the second service life information according to the fourth influence parameter to obtain fifth service life information.
Specifically, the second service life information is adjusted according to the judgment result, and the judgment result includes two cases: firstly, if the judging result is that the historical fault information is in the preset high-risk fault type library, i.e. the historical fault information is a high-risk fault, obtaining a third influence parameter, wherein the third influence parameter is the influence of the high-risk fault information of the power distribution cabinet on the adaptation period, and further, according to the third influence parameter, adjusting the second service period information to obtain fourth service period information, wherein the fourth service period information is the service period information obtained by the fault information of the comprehensive power distribution cabinet; second, if the judging result is that the historical fault information is not in the predetermined high-risk fault type library, that is, the historical fault information does not belong to a high-risk fault, a fourth influence parameter is obtained, the fourth influence parameter should be smaller than the third influence parameter, and according to the fourth influence parameter, the second service life information is adjusted, and fifth service life information is obtained, and the fifth service life information should be longer than the fourth service life information.
Further, the embodiment of the application further comprises:
step S860: acquiring the occurrence time of the historical fault information of the power distribution cabinet;
step S870: obtaining fault occurrence frequency information according to the occurrence time of the historical fault information of the power distribution cabinet;
step S880: obtaining a fifth influence parameter according to the fault occurrence frequency information;
step S890: and adjusting the second service life information according to the fifth influence parameter to obtain sixth service life information.
Specifically, the occurrence time of the historical fault information of the power distribution cabinet can be obtained, namely, the time record is carried out on the faults occurring in the historical of the power distribution cabinet, then the fault occurrence frequency information is obtained according to the occurrence time of the historical fault information of the power distribution cabinet, the fault occurrence frequency information can be further understood to be whether the faults occur frequently or not, and a fifth influence parameter is obtained according to the fault occurrence frequency information, the fifth influence parameter is the influence of the fault occurrence frequency information of the power distribution cabinet on the service life of the power distribution cabinet, then the second service life information is adjusted according to the fifth influence parameter, and the sixth service life information is obtained, wherein the sixth service life information is the service life information of the power distribution cabinet which is detected by integrating the fault occurrence frequency information of the power distribution cabinet, and the service life detection of the power distribution cabinet is more accurate and comprehensive through adjustment according to the fault occurrence frequency information of the power distribution cabinet.
Further, the embodiment of the application further comprises:
obtaining standard working environment information of the power distribution cabinet;
acquiring actual working environment information of the power distribution cabinet;
obtaining a sixth influence parameter according to the actual working environment information;
and adjusting the second service life information according to the sixth influence parameter to obtain seventh service life information.
Specifically, the standard working environment information of the power distribution cabinet can be obtained, the standard working environment information comprises temperature information, humidity information, ventilation and other environments, the actual working environment information of the power distribution cabinet is obtained, the actual working environment information is information such as temperature and humidity of the actual power distribution cabinet during working, and further, sixth influence parameters are obtained according to the actual working environment information, the sixth influence parameters are influences of the actual working environment information of the power distribution cabinet on the service life, and further, the technical effects of detecting the service life information of the power distribution cabinet more practically are achieved when the power distribution cabinet is installed in a high-altitude area or in a dew-generating occasion and the like, the working operation of the power distribution cabinet can be influenced, and further, the second service life information is adjusted according to the sixth influence parameters, so that seventh service life information is obtained.
In summary, the service life detection method and device for the power distribution cabinet provided by the embodiment of the application have the following technical effects:
1. the training model is input through the connection condition of the internal circuit and the electrical element of the power distribution cabinet and the aging degree of the electrical element to carry out continuous training, so that the service life information of the power distribution cabinet output by the training model is more accurate, and the acquired service life information is corrected through the maintenance information of the power distribution cabinet, so that the service life information of the power distribution cabinet is accurately judged, and the service life technical effect of the power distribution cabinet is improved.
2. The service life information of the power distribution cabinet is detected through the comprehensive connection condition information of the circuit and the electric element of the power distribution cabinet, the aging degree information of the circuit and the electric element, the maintenance frequency information of the power distribution cabinet, the sensitivity information of the electric element, the first color difference information of the circuit and the electric element, the time difference from starting up to entering a normal working state of the power distribution cabinet, the historical fault information, the fault occurrence frequency and other factors, so that the technical effect that the service life information of the power distribution cabinet is detected more accurately and comprehensively is achieved.
Example two
Based on the same inventive concept as the service life detection method of the power distribution cabinet in the foregoing embodiment, the present invention further provides a service life detection device of the power distribution cabinet, as shown in fig. 2, where the system includes:
the first obtaining unit 11: the first obtaining unit 11 is configured to obtain connection condition information of a line and an electrical element of the power distribution cabinet;
the second obtaining unit 12: the second obtaining unit 12 is configured to obtain the aging degree information of the circuit and the electrical component;
the first input unit 13: the first input unit 13 is configured to input connection condition information of the circuit and the electrical element and aging degree information of the circuit and the electrical element as input information into a neural network model, so as to obtain first service life information;
the third obtaining unit 14: the third obtaining unit 14 is configured to obtain maintenance frequency information of the power distribution cabinet;
fourth obtaining unit 15: the fourth obtaining unit 15 is configured to obtain a first influencing parameter according to the maintenance frequency information;
the first adjusting unit 16: the first adjusting unit 16 is configured to adjust the first service life information according to the first influencing parameter, and obtain second service life information.
Further, the device further comprises:
a second input unit: the second input unit is used for inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model, wherein the neural network model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the connection condition information of the circuit and the electric element, the aging degree information of the circuit and the electric element and the identification information for identifying the service life of the power distribution cabinet;
fifth obtaining unit: the fifth obtaining unit is configured to obtain output information of the neural network model, where the output information includes first service life information of the power distribution cabinet.
Further, the device further comprises:
sixth obtaining unit: the sixth obtaining unit is configured to obtain sensitivity information of the electrical element;
seventh obtaining unit: the seventh obtaining unit is configured to obtain first image information including initial image information of the line and the electrical component;
eighth obtaining unit: the eighth obtaining unit is used for obtaining initial color information of the circuit and the electric element according to the first image information;
a ninth obtaining unit: the ninth obtaining unit is configured to obtain second image information, where the second image information includes real-time image information of the line and the electrical component;
tenth obtaining unit: the tenth obtaining unit is used for obtaining real-time color information of the circuit and the electric element according to the second image information;
eleventh obtaining unit: the eleventh obtaining unit is configured to obtain first color difference information according to the real-time color information and the initial color information;
a twelfth obtaining unit: the twelfth obtaining unit is used for obtaining the aging degree information of the circuit and the electric element according to the sensitivity information of the electric element and the first color difference information of the circuit and the electric element.
Further, the device further comprises:
thirteenth obtaining unit: the thirteenth obtaining unit is configured to obtain a first time of the power distribution cabinet, where the first time is a startup time of the power distribution cabinet;
fourteenth obtaining unit: the fourteenth obtaining unit is used for obtaining second time of the power distribution cabinet, wherein the second time is the second time when the power distribution cabinet enters a normal working state;
fifteenth obtaining unit: the fifteenth obtaining unit is configured to obtain a first time difference according to the second time and the first time;
sixteenth obtaining unit: the sixteenth obtaining unit is configured to obtain first time difference level information according to the first time difference;
seventeenth obtaining unit: the seventeenth obtaining unit is configured to obtain a second influencing parameter according to the first time difference level information;
a second adjusting unit: the second adjusting unit is configured to adjust the second service life information according to the second influencing parameter, and obtain third service life information.
Further, the device further comprises:
eighteenth obtaining unit: the eighteenth obtaining unit is used for obtaining historical fault information of the power distribution cabinet;
nineteenth obtaining unit: the nineteenth obtaining unit is configured to obtain a fault type of the historical fault information;
a twentieth obtaining unit: the twentieth obtaining unit is used for obtaining a preset high-risk fault type library;
a first judgment unit: the first judging unit is used for judging whether the historical fault information is in the preset high-risk fault type library or not, and obtaining a judging result;
a third adjusting unit: and the third adjusting unit is used for adjusting the second service life information according to the judging result.
Further, the device further comprises:
twenty-first obtaining unit: the twenty-first obtaining unit is configured to obtain a third influence parameter if the judging result is that the historical fault information is in the predetermined high-risk fault type library;
twenty-second obtaining unit: the twenty-second obtaining unit is used for adjusting the second service life information according to the third influence parameter to obtain fourth service life information;
twenty-third obtaining unit: the twenty-third obtaining unit is configured to obtain a fourth influencing parameter if the judging result indicates that the historical fault information is not in the predetermined high-risk fault type library;
twenty-fourth obtaining unit: the twenty-fourth obtaining unit is configured to adjust the second service life information according to the fourth influencing parameter, and obtain fifth service life information.
Further, the device further comprises:
twenty-fifth obtaining unit: the twenty-fifth obtaining unit is used for obtaining the occurrence time of the historical fault information of the power distribution cabinet;
twenty-sixth obtaining unit: the twenty-sixth obtaining unit is used for obtaining fault occurrence frequency information according to the occurrence time of the historical fault information of the power distribution cabinet;
twenty-seventh obtaining unit: the twenty-seventh obtaining unit is configured to obtain a fifth influencing parameter according to the failure occurrence frequency information;
fourth adjustment unit: the fourth adjusting unit is configured to adjust the second service life information according to the fifth influencing parameter, and obtain sixth service life information.
The various modifications and specific examples of the method for detecting the service life of a power distribution cabinet in the first embodiment of fig. 1 are equally applicable to the device for detecting the service life of a power distribution cabinet in this embodiment, and those skilled in the art will clearly know the implementation method of the device for detecting the service life of a power distribution cabinet in this embodiment through the foregoing detailed description of the method for detecting the service life of a power distribution cabinet, so that the description will not be repeated in detail again.
Example III
An electronic device of an embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a method for detecting the service life of a power distribution cabinet according to the foregoing embodiment, the present invention further provides a device for detecting the service life of a power distribution cabinet, on which a computer program is stored, which when executed by a processor, implements the steps of any one of the methods for detecting the service life of a power distribution cabinet described above.
Where in FIG. 3 a bus architecture (represented by bus 300), bus 300 may comprise any number of interconnected buses and bridges, with bus 300 linking together various circuits, including one or more processors, represented by processor 302, and memory, represented by memory 304. Bus 300 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e. a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 in performing operations.
The embodiment of the application provides a service life detection method of a power distribution cabinet, wherein the method comprises the following steps: obtaining connection condition information of a circuit and an electrical element of a power distribution cabinet; obtaining aging degree information of the circuit and the electrical element; inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model as input information to obtain first service life information; acquiring maintenance frequency information of the power distribution cabinet; obtaining a first influence parameter according to the maintenance frequency information; and adjusting the first service life information according to the first influence parameter to obtain second service life information.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. A service life detection method of a power distribution cabinet, wherein the method comprises the following steps:
obtaining connection condition information of a circuit and an electrical element of a power distribution cabinet;
obtaining aging degree information of the circuit and the electrical element;
inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model as input information to obtain first service life information;
acquiring maintenance frequency information of the power distribution cabinet;
obtaining a first influence parameter according to the maintenance frequency information;
and adjusting the first service life information according to the first influence parameter to obtain second service life information.
2. The method of claim 1, wherein the inputting the connection condition information of the circuit and the electrical component and the aging degree information of the circuit and the electrical component as input information into a neural network model to obtain the first age information includes:
inputting the connection condition information of the circuit and the electric element and the aging degree information of the circuit and the electric element into a neural network model, wherein the neural network model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the connection condition information of the circuit and the electric element, the aging degree information of the circuit and the electric element and the identification information for identifying the service life of the power distribution cabinet;
and obtaining output information of the neural network model, wherein the output information comprises first service life information of the power distribution cabinet.
3. The method of claim 1, wherein the obtaining the circuit and electrical component degradation information comprises:
obtaining sensitivity information of the electrical element;
obtaining first image information, wherein the first image information comprises initial image information of the circuit and the electric element;
obtaining initial color information of the circuit and the electrical element according to the first image information;
obtaining second image information, wherein the second image information comprises real-time image information of the circuit and the electric element;
acquiring real-time color information of the circuit and the electric element according to the second image information;
obtaining first color difference information according to the real-time color information and the initial color information;
and obtaining the aging degree information of the circuit and the electric element according to the sensitivity information of the electric element and the first color difference information of the circuit and the electric element.
4. The method of claim 1, wherein the method comprises:
obtaining first time of the power distribution cabinet, wherein the first time is the starting time of the power distribution cabinet;
obtaining second time of the power distribution cabinet, wherein the second time is the second time when the power distribution cabinet enters a normal working state;
obtaining a first time difference according to the second time and the first time;
obtaining first time difference grade information according to the first time difference;
obtaining a second influence parameter according to the first time difference grade information;
and adjusting the second service life information according to the second influence parameter to obtain third service life information.
5. The method of claim 1, wherein the method comprises:
obtaining historical fault information of the power distribution cabinet;
obtaining the fault type of the historical fault information;
obtaining a preset high-risk fault type library;
judging whether the historical fault information is in the preset high-risk fault type library or not, and obtaining a judging result;
and adjusting the second service life information according to the judging result.
6. The method of claim 5, wherein said adjusting the second age information according to the determination result comprises:
if the judging result is that the historical fault information is in the preset high-risk fault type library, a third influence parameter is obtained;
according to the third influence parameter, the second service life information is adjusted, and fourth service life information is obtained;
if the judging result is that the historical fault information is not in the preset high-risk fault type library, a fourth influence parameter is obtained;
and adjusting the second service life information according to the fourth influence parameter to obtain fifth service life information.
7. The method of claim 5, wherein the method comprises:
acquiring the occurrence time of the historical fault information of the power distribution cabinet;
obtaining fault occurrence frequency information according to the occurrence time of the historical fault information of the power distribution cabinet;
obtaining a fifth influence parameter according to the fault occurrence frequency information;
and adjusting the second service life information according to the fifth influence parameter to obtain sixth service life information.
8. Service life detection device for power distribution cabinet, wherein the device comprises:
a first obtaining unit: the first obtaining unit is used for obtaining connection condition information of the circuit and the electric element of the power distribution cabinet;
a second obtaining unit: the second obtaining unit is used for obtaining the aging degree information of the circuit and the electric element;
a first input unit: the first input unit is used for inputting connection condition information of the circuit and the electric element and aging degree information of the circuit and the electric element into a neural network model as input information to obtain first service life information;
a third obtaining unit: the third obtaining unit is used for obtaining maintenance frequency information of the power distribution cabinet;
fourth obtaining unit: the fourth obtaining unit is used for obtaining a first influence parameter according to the maintenance frequency information;
a first adjusting unit: the first adjusting unit is used for adjusting the first service life information according to the first influencing parameter to obtain second service life information.
9. A power distribution cabinet life span detection device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any of claims 1-7 when the program is executed by the processor.
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| CN117274225A (en) * | 2023-10-19 | 2023-12-22 | 广东力生电器有限公司 | Intelligent control system and method for power distribution cabinet |
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