CN-122020039-A - Nuclear power robot suitability evaluation method and device

CN122020039ACN 122020039 ACN122020039 ACN 122020039ACN-122020039-A

Abstract

The application relates to a nuclear power robot suitability evaluation method and device. The method comprises the steps of obtaining a working condition state of a nuclear power plant, determining first weight parameters corresponding to all evaluation indexes of the nuclear power robot according to the working condition state, determining quantized values of the evaluation indexes according to sub-index values of all sub-evaluation indexes corresponding to the evaluation indexes and second weight parameters corresponding to all the sub-evaluation indexes, determining second weight parameters of the sub-evaluation indexes according to preset first sub-weights and second sub-weights, determining second sub-weights according to historical sub-index values of the sub-evaluation indexes, carrying out weighted summation processing on the quantized values of all the evaluation indexes according to the first weight parameters corresponding to all the evaluation indexes to obtain target quantized values of the nuclear power robot, and determining evaluation results of the nuclear power robot according to the target quantized values. According to the method, the dynamic weight adjustment and the multidimensional coupling analysis are fused to analyze the scene which is more fit with the dynamic working condition, so that the accuracy of the evaluation result can be improved.

Inventors

LV JIE
DU JIA
WU FENGQI
WANG GUOHE
WANG HUAGANG
YUAN YE

Assignees

中广核研究院有限公司
中广核工程有限公司

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (11)

1. A nuclear power robot suitability evaluation method for evaluating the suitability of a nuclear power robot to a nuclear power plant, the method comprising: acquiring a working condition state of a nuclear power plant, and determining a first weight parameter corresponding to each evaluation index of a nuclear power robot according to the working condition state, wherein the evaluation index comprises a device factor, a user use dimension, an environment protection dimension and a social influence dimension; For each evaluation index, determining a quantization value of the evaluation index according to a sub-index value of each sub-evaluation index corresponding to the evaluation index and a second weight parameter corresponding to each sub-evaluation index, wherein the second weight parameter of the sub-evaluation index is determined according to a first sub-weight and a second sub-weight, the first sub-weight is a preset value, and the second sub-weight is determined according to a historical sub-index value of the sub-evaluation index; according to the first weight parameters corresponding to the evaluation indexes, carrying out weighted summation on the quantized values of the evaluation indexes to obtain target quantized values of the nuclear power robot; and determining an evaluation result of the nuclear power robot according to the target quantized value.
2. The method according to claim 1, wherein the determining the quantized value of the evaluation index according to the sub index value of each sub evaluation index corresponding to the evaluation index and the second weight parameter corresponding to each sub evaluation index comprises: Acquiring information parameters of the nuclear power robot; For each sub-evaluation index, determining a sub-index value of the sub-evaluation index according to the information parameter corresponding to the sub-evaluation index and a quantization formula corresponding to the sub-evaluation index; and obtaining second weight parameters corresponding to the sub-evaluation indexes, and carrying out weighted summation processing on the sub-index values of the sub-evaluation indexes according to the second weight parameters to obtain quantized values of the evaluation indexes.
3. The method according to claim 1, wherein when the evaluation index is a device self factor, the sub-evaluation index includes an economical factor, a technical maturity, a reliability, and a development period; when the evaluation index is the dimension used by the user, the sub-evaluation index comprises the site transformation degree, the operation complexity, the foreign matter prevention capability, the efficiency improvement rate and the operator reduction rate; when the evaluation index is the environmental protection dimension, the sub-evaluation index comprises radioactive waste amount, energy and material saving and carbon emission reduction amount; when the evaluation index includes social influence, the sub-evaluation index includes public approval, regulatory compliance, ethical responsibility and public participation.
4. A method according to claim 2 or 3, wherein the sub-evaluation index is an economic factor, the information parameter of the nuclear power robot includes a full life cycle cost, and determining the sub-index value of the sub-evaluation index according to the information parameter corresponding to the sub-evaluation index and a quantization formula corresponding to the sub-evaluation index includes: acquiring a reference full life cycle cost which is the minimum value of full life cycle costs corresponding to other nuclear power robots; determining a first parameter according to the product of the ratio of the full life cycle cost to the reference full life cycle cost and a first preset value; and determining a second parameter according to the difference value between a second preset value and the first parameter, taking the second parameter as a sub-index value of the economic factor when the second parameter is not less than 0, and taking 0 as the sub-index value of the economic factor when the second parameter is less than 0.
5. The method according to claim 2, wherein the obtaining the second weight parameter corresponding to each of the sub-evaluation indexes includes: Acquiring the first sub-weight distributed to each sub-evaluation index by a user; Determining the second sub-weight corresponding to each sub-evaluation index according to a plurality of historical sub-index values of each sub-evaluation index; And for each sub-evaluation index, carrying out weighting processing on the first sub-weight and the second sub-weight according to a preset weighting coefficient to obtain a second weight parameter corresponding to the sub-evaluation index.
6. The method of claim 5, wherein determining the second sub-weight corresponding to each of the sub-rating indices based on a plurality of historical sub-index values for each of the sub-rating indices comprises: determining a parameter matrix according to each historical subindex value, wherein matrix elements of an ith row and an jth column in the parameter matrix are ith historical subindex values of the jth subevaluation index; And determining the second sub-weight corresponding to each sub-evaluation index according to the parameter matrix.
7. The method of claim 6, wherein determining the second sub-weight corresponding to each of the sub-evaluation indexes according to the parameter matrix comprises: Carrying out standardization processing and normalization processing on the parameter matrix to obtain a target parameter matrix; and determining the second sub-weight corresponding to each sub-evaluation index according to the target parameter matrix.
8. The method of claim 7, wherein determining the second sub-weight corresponding to each of the sub-evaluation indexes according to the target parameter matrix comprises: determining information entropy corresponding to each sub-evaluation index according to each column of matrix elements in the target parameter matrix; And determining the second sub-weight corresponding to each sub-evaluation index according to the information entropy corresponding to each sub-evaluation index, wherein the information entropy is inversely related to the second sub-weight.
9. The method according to claim 1, wherein the determining the evaluation result of the nuclear power robot according to the target quantization value includes: under the condition that the target quantized value is larger than a preset threshold value, determining that the nuclear power robot is matched with the nuclear power station; and under the condition that the target quantized value is not larger than a preset threshold value, determining that the nuclear power robot is not matched with the nuclear power station.
10. The method of claim 1, wherein the operating conditions of the nuclear power plant include the nuclear power plant being a newly-built plant, in service, and out of service; when the working condition state is a newly-built power station, the first weight parameter corresponding to the self factor of the equipment is 40%, the first weight parameter corresponding to the user usage dimension is 20%, the first weight parameter corresponding to the environment protection dimension is 30%, and the first weight parameter corresponding to the social influence dimension is 10%; When the working condition state is a use state, the first weight parameter corresponding to the self factor of the equipment is 35%, the first weight parameter corresponding to the user use dimension is 30%, the first weight parameter corresponding to the environment protection dimension is 20%, and the first weight parameter corresponding to the social influence dimension is 15%; When the working condition state is a stop use state, the first weight parameter corresponding to the self factor of the equipment is 25%, the first weight parameter corresponding to the user use dimension is 10%, the first weight parameter corresponding to the environment protection dimension is 35%, and the first weight parameter corresponding to the social influence dimension is 30%.
11. A nuclear power robot suitability evaluation device for evaluating suitability of a nuclear power robot with a nuclear power plant, the device comprising: The first determining module is used for acquiring the working condition state of the nuclear power station, and determining first weight parameters corresponding to each evaluation index of the nuclear power robot according to the working condition state, wherein the evaluation indexes comprise equipment self factors, user use dimensions, environment protection dimensions and social influence dimensions; The second determining module is used for determining a quantization value of each evaluation index according to a sub-index value of each sub-evaluation index corresponding to the evaluation index and a second weight parameter corresponding to each sub-evaluation index, wherein the second weight parameter of the sub-evaluation index is determined according to a first sub-weight and a second sub-weight, the first sub-weight is a preset value, and the second sub-weight is determined according to a historical sub-index value of the sub-evaluation index; The third determining module is used for carrying out weighted summation processing on the quantized values of the evaluation indexes according to the first weight parameters corresponding to the evaluation indexes to obtain target quantized values of the nuclear power robot; And the fourth determining module is used for determining the evaluation result of the nuclear power robot according to the target quantized value.

Description

Nuclear power robot suitability evaluation method and device Technical Field The application relates to the technical field of nuclear power robots, in particular to a nuclear power robot suitability evaluation method and device. Background The nuclear power robot is used as core equipment for intelligent operation and maintenance of a nuclear power station, and in recent years, the expansion from single inspection to multiple scenes such as overhaul, emergency and the like is realized under the promotion of key technologies such as irradiation-resistant materials and anti-interference communication. The existing method mainly depends on the experience of an expert to score the suitability when evaluating the comprehensive suitability of the nuclear power robot and the nuclear power station. However, when the comprehensive suitability of the nuclear power robot and the nuclear power station is determined in the mode, the method has strong experience dependence on experts, subjective factor influence exists, and the expert scoring result may need to be corrected for multiple times, so that the accuracy is not high. Disclosure of Invention In view of the foregoing, it is desirable to provide a nuclear power robot suitability evaluation method and apparatus that can accurately evaluate a nuclear power robot. In a first aspect, the present application provides a method for evaluating suitability of a nuclear power robot, including: Acquiring the working condition state of the nuclear power station, and determining a first weight parameter corresponding to each evaluation index of the nuclear power robot according to the working condition state; For each evaluation index, determining a quantization value of the evaluation index according to a sub-index value of each sub-evaluation index corresponding to the evaluation index and a second weight parameter corresponding to each sub-evaluation index, wherein the second weight parameter of the sub-evaluation index is determined according to a first sub-weight and a second sub-weight, and the second sub-weight is determined according to a historical sub-index value of the sub-evaluation index; According to the first weight parameters corresponding to the evaluation indexes, carrying out weighted summation treatment on the quantized values of the evaluation indexes to obtain target quantized values of the nuclear power robot; and determining an evaluation result of the nuclear power robot according to the target quantized value. In a second aspect, the present application further provides a nuclear power robot suitability evaluation device, including: The first determining module is used for acquiring the working condition state of the nuclear power station, determining first weight parameters corresponding to each evaluation index of the nuclear power robot according to the working condition state, wherein the evaluation indexes comprise equipment self factors, user use dimensions, environment protection dimensions and social influence dimensions; The second determining module is used for determining a quantization value of each evaluation index according to a sub-index value of each sub-evaluation index corresponding to the evaluation index and a second weight parameter corresponding to each sub-evaluation index, wherein the second weight parameter of the sub-evaluation index is determined according to a first sub-weight and a second sub-weight, the first sub-weight is a preset value, and the second sub-weight is determined according to a historical sub-index value of the sub-evaluation index; the third determining module is used for carrying out weighted summation processing on the quantized values of the evaluation indexes according to the first weight parameters corresponding to the evaluation indexes to obtain target quantized values of the nuclear power robot; And the fourth determining module is used for determining the evaluation result of the nuclear power robot according to the target quantized value. The nuclear power robot suitability evaluation method and device comprises the steps of obtaining the working condition of a nuclear power station, determining first weight parameters corresponding to all evaluation indexes of the nuclear power robot according to the working condition, wherein the evaluation indexes comprise equipment self factors, user use dimensions, environment protection dimensions and social influence dimensions, determining quantization values of the evaluation indexes according to sub-index values of all sub-evaluation indexes corresponding to the evaluation indexes and second weight parameters corresponding to the sub-evaluation indexes, determining the second weight parameters of the sub-evaluation indexes according to first sub-weights and second sub-weights, wherein the first sub-weights are preset values, the second sub-weights are determined according to historical sub-index values of the sub-evaluation indexes, carrying out weight