Risk situation analysis processing method and processing device based on BP neural network

Abstract

The invention provides a risk situation analysis processing method and processing device based on a BP neural network. The processing method comprises the steps of constructing a case library according to historical risk factor data of a workshop; preprocessing the historical risk factor data in the case library to obtain preprocessed case data; establishing a neural network model according to risk situation prediction requirements; training the neural network model according to the case data to obtain a trained target neural network; and obtaining current risk factor data of the workshop, andinputting the current risk factor data into the target neural network to obtain a risk situation prediction result. According to the embodiment of the invention, the risk situation analysis model isdesigned by adopting the BP neural network, so that the nonlinear relationship between non-deterministic risk factors and the risk situation is effectively solved, and the adaptability and reliabilityof an analysis system are improved; and meanwhile, workshop risk points in a budding state can be checked and solved in time, and the accident rate is reduced.

Description

technical field [0001] The invention relates to the technical field of workshop safety management and control, in particular to a processing method and processing device for hazard situation analysis based on a BP neural network. Background technique [0002] Safety problems are often caused by dangerous and harmful factors. There are many dangerous and harmful factors in the workshop production process, such as illegal operation of personnel in the production process, misoperation of equipment, accidental collision and damage of products, etc. The production and manufacturing process may involve special operating environments such as toxic, flammable, explosive, high temperature, and high pressure, and the potential dangers such as operating equipment, operating content, and operating objects are relatively large. The safety management and control of the production workshop is not only closely related to the life and property of the production workers, but also to the peop...

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Problems solved by technology

[0004] The technical purpose to be achieved by the embodiment of the present invention is to provide a processing method for dangerous situation analysis based on BP neural network, by using the neural network to fit the coupling relationship between the dangerous situation and the corresponding risk factors, generate a comprehensive prediction result of the dangerous situation, and use In order to solve the problem that the current workshop management and control system cannot detect risk points in time according to real-time data fluctuations, resulting in potential safety hazards in the production process

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