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Bridge crane risk source occurrence probability missing interpolation method

A technology of bridge cranes and probability of occurrence, applied in resources, instruments, data processing applications, etc., can solve problems such as inaccurate data, achieve the effect of accurate missing data, improve accuracy, and improve accuracy

Active Publication Date: 2018-11-06
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing interpolation methods are not completely aimed at the interpolation of bridge crane evaluation data, so the data obtained by interpolation are not accurate enough

Method used

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  • Bridge crane risk source occurrence probability missing interpolation method
  • Bridge crane risk source occurrence probability missing interpolation method
  • Bridge crane risk source occurrence probability missing interpolation method

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Embodiment Construction

[0040] The present invention will be further described below.

[0041] An interpolation method for the lack of occurrence probability of bridge crane risk source includes the establishment method of bridge crane risk source coupling rule base and the interpolation severity is g 0 The target risk source p 0 The probability of occurrence r 0 Methods.

[0042] The establishment method of the bridge crane risk source coupling rule base is as follows:

[0043] Step 1, make statistics on the failure situation and the corresponding risk sources of each failure of the bridge crane within a time, where a is greater than 365 days. According to the statistical results, the support, confidence and lift between n risk sources of bridge cranes are calculated by association rules.

[0044] Step 2: Multiple bridge crane safety assessment experts set the minimum support estimate and the minimum confidence estimate respectively. The average value of the minimum support estimates set by eac...

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Abstract

The invention discloses a bridge crane risk source occurrence probability missing interpolation method. Existing interpolation methods do not have professionality in the aspect of cranes when being used for interpolating bridge crane assessment data so that data obtained through interpolation is not correct enough. The method comprises a bridge crane risk source coupling rule library establishingmethod and a method for occurrence probabilities r0 of target risk sources p0 with interpolation severity of g0. The bridge crane risk source coupling rule library establishing method is used for expressing association among various risk sources so as to provide basic conditions of missing data interpolation. The method for occurrence probabilities r0 of target risk sources p0 with interpolation severity of g0 is used for determining missing data according to known related risk source information. According to the method, missing data is interpolated by adoption of a multiple interpolation method and a nearest correlation method, so that correctness of the data after the interpolation is improved.

Description

technical field [0001] The invention belongs to the technical field of bridge crane safety assessment, and in particular relates to an interpolation method for missing occurrence probability of bridge crane risk sources. Background technique [0002] As the service life of bridge cranes increases, the potential risks continue to increase. Assessing the safety status of overhead cranes can greatly improve the safety of their use. The completeness and accuracy of the initial data for the safety assessment of overhead cranes greatly affects the accuracy of the safety assessment. However, the acquisition of safety assessment data is often impossible or timely due to different reasons, making the data incomplete. Generally, there are two main methods to deal with incomplete data: data deletion and data imputation. The data deletion method is mainly to remove the missing data and treat the remaining data items as complete data for processing, but this will not only produce devi...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/0635
Inventor 陈志平李哲威李春光孟玲娇汪赞林选翔张崟吴亚坤
Owner HANGZHOU DIANZI UNIV