A Safety Assessment Method for Metallurgical Cranes Based on Mean Square Error Method and Entropy Weight Method

A mean square error method and safety assessment technology, which is applied in the field of metallurgical crane safety assessment based on the mean square error method and entropy weight method, can solve problems such as strong subjectivity, low accuracy, and failure to meet the requirements of the evaluation system, so as to avoid subjective Factors, to avoid the effect of low accuracy

Active Publication Date: 2021-04-06
SOUTHEAST UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Mainly relying on the experience and knowledge of experts, artificially determining the weight can avoid the situation contrary to the facts, but it is highly subjective, which affects the accuracy of the evaluation results
[0011] (3) Comprehensive weighting method: it can avoid the fact that the single weighting method is contrary to the facts, but it has the disadvantage of low accuracy
[0012] The safety evaluation indicators of metallurgical cranes present the characteristics of diversity and complexity, and there are technical difficulties in determining the weight
For a long time, in engineering projects, whether it is infrastructure projects or special equipment, the safety evaluation weight is mainly determined by the experience of experts and relevant practitioners. This method of determination is reasonable, but it ignores the objective requirements of index status evaluation
With the development of equipment health monitoring technology, relying solely on experience to determine the weight can no longer meet the needs of the evaluation system

Method used

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  • A Safety Assessment Method for Metallurgical Cranes Based on Mean Square Error Method and Entropy Weight Method
  • A Safety Assessment Method for Metallurgical Cranes Based on Mean Square Error Method and Entropy Weight Method
  • A Safety Assessment Method for Metallurgical Cranes Based on Mean Square Error Method and Entropy Weight Method

Examples

Experimental program
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Effect test

Embodiment

[0082] Taking a single girder as an example to evaluate its safety. Safety indicators include strength, stiffness, local deformation, cracks, welds, and corrosion.

[0083] The state value of the single factor index layer is obtained by consulting the historical detection records of the main beam of a metallurgical crane, among which detection 4 is the latest detection result, as shown in Table 1.

[0084] Table 1 The state value of the main girder index of a metallurgical crane

[0085]

[0086] 1) Mean square error method:

[0087] According to the attributes and status values ​​of each indicator, the original data is dimensionless:

[0088]

[0089] The degree of variation of each indicator:

[0090] S=[0.4064 0.4213 0.4423 0.2592 0.4017]

[0091] The weight of each indicator calculated based on the mean square error method:

[0092] W 1 =(0.2104,0.2182,0.2291,0.1342,0.2081)

[0093] 2) Entropy weight method:

[0094] According to the attributes and status val...

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Abstract

The invention discloses a metallurgical crane safety evaluation method based on the mean square error method and the entropy weight method, which includes the following steps: (1) Evaluating the weight of each safety index based on the mean square error method, the safety index includes strength, stiffness, local deformation, Welding seam and corrosion; (2), based on the entropy weight method to judge the weight of each safety index; (3), combined with the mean square error method and the entropy weight method to construct a comprehensive weight determination method, and determine the weight of the metallurgical crane safety performance evaluation method. The invention combines the mean square error method and the entropy weight method, which can avoid the disadvantages of low accuracy of the single weight method.

Description

technical field [0001] The invention relates to a safety assessment method, in particular to a metallurgical crane safety assessment method based on the mean square error method and the entropy weight method. Background technique [0002] The weight is a value that is compared in a certain quantitative form in the evaluation process and weighs the relative importance of the overall factors of the things to be evaluated. The weight of the index can reflect the evaluator's cognition of the importance of the evaluation index and the value of the evaluation index under the overall index system, and can directly affect the overall evaluation result. [0003] The basic principles to be followed when determining the weight of evaluation indicators are: [0004] (1) Objectivity, the weight of the evaluation index should be able to accurately reflect the importance of the evaluation index to the overall evaluation. [0005] (2) Scope, on the premise of determining a reasonable eval...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/0635G06Q10/06393
Inventor 靳慧陈国良丁克勤王立彬
Owner SOUTHEAST UNIV
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