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Soil slope collapse accident diagnosis method based on Bayesian network

A Bayesian network, soil slope technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., to reduce the probability of collapse accidents, significant economic and social benefits, and ensure the quality of the project.

Pending Publication Date: 2019-12-24
施甸县保施高速公路投资开发有限公司 +1
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to solve the problem of rapid and accurate diagnosis and cause analysis of the soil slope collapse accident diagnosis system

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  • Soil slope collapse accident diagnosis method based on Bayesian network
  • Soil slope collapse accident diagnosis method based on Bayesian network
  • Soil slope collapse accident diagnosis method based on Bayesian network

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Embodiment Construction

[0021] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and examples, but the given examples are not intended to limit the present invention.

[0022] Obtain the influencing factors of slope collapse accidents through literature research and expert investigation; the safety supervision department collects case samples of slope collapse accidents according to the influencing factors, and establishes a database of slope collapse accidents;

[0023] When the number of samples reaches the set threshold, a Bayesian network structure prototype is first established based on the prior knowledge of experts, and then refined through data learning to obtain the most correct structure from the prototype structure;

[0024] Divide each node element of the Bayesian network into multiple states, and use the arc to establish the probabili...

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Abstract

The invention relates to a soil slope collapse accident diagnosis method based on a Bayesian network, and belongs to the technical field of civil engineering. When the number of the samples reaches aset threshold value, establishing a Bayesian network structure prototype, refining through data learning, and obtaining the most correct structure from the prototype structure; dividing each node element of the Bayesian network into a plurality of states, establishing a probability relationship between nodes by using arc segments, and training the sample data by using an EI algorithm to obtain a conditional probability of node state evolution in the Bayesian network; and establishing a Bayesian network model of slope collapse accidents caused by multiple elements. According to the invention, the Bayesian network is used to construct the slope collapse accident diagnosis system, the function of intelligent diagnosis of slope collapse accidents with complex reasons is realized, the accuracyand flexibility of accident diagnosis are improved, and the system can be used for accident diagnosis and also can be used for risk management of collapse accidents.

Description

technical field [0001] The invention belongs to the technical fields of slope construction and safety engineering, and more specifically relates to a method for diagnosing a soil slope collapse accident based on a Bayesian network. Background technique [0002] The soil slope collapse accident is a common type of accident in the field of civil engineering. The influencing factors of the slope collapse accident are very complicated. After finding out the real cause of the accident, most of the accidents were attributed to natural factors such as rainfall and changes in geological conditions; in fact, many slope collapses were caused by improper design and construction measures, but traditional accident investigation methods could not reveal the accidents. real cause. The soil slope collapse accident diagnosis method based on Bayesian network is based on a large number of collapse accident sample data. With the help of conditional probability and uncertain reasoning methods, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/29
Inventor 杨志华谢洪涛代绍海段军刘波王甲贤贾述项余平军
Owner 施甸县保施高速公路投资开发有限公司
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