Safety Assessment Method of Type II Prediction Set Based on Data Possibility-Reliability Distribution
A technology of possibility and prediction set, applied in the direction of prediction, data processing application, instrument, etc., can solve problems such as misjudgment of safety level, and achieve the effect of large granularity
Active Publication Date: 2021-06-18
ZHONGBEI UNIV
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[0003] The credibility of the data is another important factor affecting the actual engineering evaluation results besides the uncertainty. It reflects the differences in the capabilities of data sources (such as expert experience, understanding, and sensor performance, operating conditions, etc.). The role in the assessment will inevitably lead to misjudgment of the safety level
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[0029] The safety assessment method of type II prediction set based on data possibility-reliability distribution includes the following steps:
[0030] Step 1: Determine the safety level scales of the expert system and sensor monitoring data according to the system safety regulations, among which the sensor monitoring data are four safety level scales A, B, C, and D; the expert system data are I, II, and III , Ⅳ four safety level scales, since the scales are used as the basis for level judgment, the reliability distribution function of the safety level scale is given a credibility of 1, the joint distribution of the safety level scales is established, and the projection surface area of each safety level is determined;
[0031] Step 2: Determine the evaluation data in the expert system according to the content of each evaluation item of the security level {I i |i=1,2,…n} and weight {w E1 ,w E2 ,...,w En}, the parameter data in sensor monitoring {M j |j=1,2,…,m} and weight...
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The invention belongs to the field of evaluation of actual projects such as large buildings, public facilities, and precision equipment, and is specifically a type-two prediction set safety evaluation method based on data possibility-reliability distribution. This method first defines the Type II prediction set and its related concepts on the basis of the possibility distribution and the reliability distribution, and proposes a similarity measurement method between the Type II prediction sets; Joint distribution, and use the weighted fusion method to fuse the heterogeneous data to be evaluated on the second-type distribution; finally, calculate the similarity measure between the fusion distribution and its safety level scale, determine the position of the centroid in the projection surface of the joint scale, and determine the safety level. The experimental results show that the method in this paper can effectively reduce the granularity of the evaluation results when used in the judgment of the safety level of tailings dams, reduce the problem of misjudgment, and provide convenience for the accurate interpretation of the safety level of the dam body.
Description
technical field [0001] The invention belongs to the field of evaluation of actual projects such as large-scale buildings, public facilities, and precision equipment, and is specifically a type-two prediction set safety evaluation method based on data possibility-reliability distribution. Background technique [0002] Expert prediction data and sensor monitoring data reflect the actual project (such as large buildings, public facilities, precision equipment, etc.) important guarantees. Most of the existing evaluation methods are based on various uncertainties of data (such as randomness, fuzziness, possibility, etc.) respectively using probability theory, fuzzy set theory, possibility theory, etc. to determine the safety level. It has strong pertinence and wide application value. However, the main purpose of safety assessment is not only to judge the research object in time after an accident or failure occurs, but also to predict its future development trend when minor abno...
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IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/0639
Inventor 王肖霞杨风暴朱博秀张飞飞姜星
Owner ZHONGBEI UNIV