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A method and device for evaluating the health status of pole-mounted switch complete sets of equipment based on a hybrid intelligent algorithm

An intelligent algorithm and health state technology, applied in computing, instrumentation, data processing applications, etc., can solve the problem of low accuracy, achieve the effect of ensuring objectivity and accuracy, improving computing efficiency, and improving scientificity

Active Publication Date: 2021-12-03
WUHAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] In view of this, the present invention provides a method and device for assessing the health status of the pole-mounted switch complete set of equipment based on a hybrid intelligent algorithm, to solve or at least partially solve the technical problem of low accuracy of the methods in the prior art

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  • A method and device for evaluating the health status of pole-mounted switch complete sets of equipment based on a hybrid intelligent algorithm
  • A method and device for evaluating the health status of pole-mounted switch complete sets of equipment based on a hybrid intelligent algorithm
  • A method and device for evaluating the health status of pole-mounted switch complete sets of equipment based on a hybrid intelligent algorithm

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Embodiment 1

[0068] This embodiment provides a method for assessing the health status of pole-mounted switch complete equipment based on a hybrid intelligent algorithm. Please refer to figure 1 , the method includes:

[0069] Step S1: Collect sample data of the complete set of on-column switches, wherein the sample data includes online operation information, offline information, table information, and historical fault information of the complete set of on-column switches.

[0070] Among them, the sample data of the complete set of switches on the pole is described by state quantities and characteristic values, where the state quantities are the parameters of the state of the components of the complete set of switches on the pole, and the characteristic values ​​are the components of the complete set of switches on the pole. According to the source of the sample data and the update time of the data, the state quantity is divided into static parameters, dynamic parameters, quasi-dynamic para...

Embodiment 2

[0150] This embodiment provides a device for evaluating the health status of pole-mounted switch complete equipment based on a hybrid intelligent algorithm. Please refer to Figure 7 , the device consists of:

[0151] The sample data collection module 201 is used to collect sample data of the complete set of on-column switch equipment, wherein the sample data includes online operation information, offline information, table information, and historical fault information of the complete set of on-column switch equipment;

[0152] Data conversion and cleaning module 202, used for converting and cleaning the collected sample data;

[0153] The mixed intelligent algorithm health status assessment model building module 203 is used to use the transformed and cleaned sample data as training data to establish SVR, BPNN, and ELM single intelligent algorithm health status assessment models, and according to each single intelligent algorithm health status assessment model Based on the pr...

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Abstract

The invention discloses a method and device for evaluating the health state of a complete set of switch equipment on a pole based on a hybrid intelligent algorithm. The method includes: first collecting sample data of the complete set of switch equipment on a pole, wherein the sample data includes the complete set of switch equipment on a pole Online operation information, offline information, script information, and historical fault information; then transform and clean the collected sample data; then use the transformed and cleaned sample data as training data to establish a single intelligent algorithm health status of SVR, BPNN, and ELM Evaluation model, and based on the prediction results of each single intelligent algorithm health status assessment model, a hybrid intelligent algorithm health status assessment model is established; finally, the hybrid intelligent algorithm health status assessment model is used to evaluate the status of the equipment to be evaluated. The invention can improve the calculation efficiency on the basis of ensuring the objectivity and accuracy of the model, and improve the scientificity and rationality of the health state evaluation of the complete switch equipment on the pole.

Description

technical field [0001] The invention relates to the technical field of health state evaluation of power distribution equipment, in particular to a method and device for evaluating the health state of a pole-mounted switch complete set of equipment based on a hybrid intelligent algorithm. Background technique [0002] The development of informationization, intelligence, networking and integration of distribution network makes the structure of distribution network more and more complex, and the requirements for environmental protection, safety and convenience of products are getting higher and higher. The reliability requirements of power distribution equipment are also getting higher and higher. The pole-mounted switch equipment is the most widely used and very important electrical equipment in the distribution network. Its safety and reliability are related to national production and life, economic and social stability, and directly affect the satisfaction of electricity cus...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F16/215G06F16/2458
CPCG06Q10/0639G06Q50/06G06F16/215G06F16/2465
Inventor 侯慧崔戎舰曾金媛唐爱红唐金锐吴细秀李维波邓翔天
Owner WUHAN UNIV OF TECH
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