Petrochemical enterprise safety evaluation method based on PSO-BP neural network

A PSO-BP, neural network technology, applied in the field of petrochemical enterprise safety evaluation, can solve problems such as limited representation ability, random parameter setting, network training failure, etc., to improve accuracy and objectivity, and reduce the workload of manual evaluation , the effect of reducing subjective influence

Pending Publication Date: 2021-11-05
NINGBO UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

Although the neural network can make certain predictions and evaluations on the chemical process and safety, from the research on the safety evaluation model constructed by the neural network, the neural network can be used to describe the complex chemical process and the safety status of petrochemical enterprises under the condition of limited data. The expressive ability of the function is limited, the parameter setting is random, and the ability to extract features describing the complex security state is subject to certain constraints. Therefore, the application of artificial neural networks to the security evaluation of petrochemical enterprises has the possibility of further improvement
[0004] In summary, there are some unavoidable defects in the use of BP neural network to evaluate the safety of petrochemical enterprises at home and abroad. The BP algorithm is an optimization method of local search, and the safety evaluation of petrochemical enterprises is a complex nonlinear global extremum problem. , the BP algorithm is likely to fall into a local extremum, so that the network training fails
The particle swarm optimization (PSO, particle swarm optimization) algorithm is a swarm intelligence optimization algorithm in the field of computational intelligence, which can solve the optimal value for the weight and deviation of the BP neural network through the particle swarm optimization algorithm, but it has not yet Research on Safety Evaluation of Petrochemical Enterprises Using PSO-BP Neural Network

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Embodiment Construction

[0028] A method for evaluating the safety of petrochemical enterprises based on the PSO-BP neural network of the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0029] like figure 1 Shown is the flow chart of the petrochemical enterprise safety evaluation based on PSO-BP neural network according to the present invention.

[0030] 18 of the 24 data of a petrochemical enterprise in Ningbo were used as learning samples to input the safety evaluation model based on PSO-BP neural network for learning and training. By inputting the influencing factors (scientific indicators) to be evaluated (verification samples), the evaluation of the overall safety status of petrochemical enterprises is obtained.

[0031] Example.

[0032] Step 1: Determine the indicator system (influencing factors) of the safety status of petrochemical enterprises, the...

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Abstract

The invention discloses a petrochemical enterprise safety evaluation method based on a PSO-BP neural network. The petrochemical enterprise safety evaluation method comprises the steps of 1, determining an index system (influence factors) of a petrochemical enterprise safety state; step 2, constructing a PSO-BP neural network model; 3, collecting a data sample; step 4, inputting the training sample to train the PSO-BP neural network; step 5, obtaining parameters such as corresponding weights of the PSO-BP neural network and a trained neural network security evaluation model; and 6, evaluating the safety state of the petrochemical enterprise. According to the method, the workload of manual evaluation is reduced, the subjective influence of evaluation personnel is greatly reduced, the accuracy and objectivity of the safety evaluation result of the petrochemical enterprise are improved, and technical support is provided for mastering the safety operation of the petrochemical enterprise.

Description

technical field [0001] The invention relates to a safety evaluation method for petrochemical enterprises based on a PSO-BP neural network, belonging to the technical field of safety engineering. Background technique [0002] As a basic industry with wide correlation and strong driving force, the petrochemical industry is closely related to the national economy and people's life, and its development level also represents the economic strength of a country or a region. However, due to the particularity of petrochemical products, the production of petrochemical enterprises has the characteristics of flammability, high temperature and high pressure, poisonous and harmful, etc., and the safety problems are prominent. Once a safety production accident occurs in a petrochemical enterprise, it may cause serious casualties and huge property losses. At present, petrochemical enterprises generally have established a trinity management system of HSE (Health: Health, Safety: Safety, Env...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/04G06N3/08G06N3/04
CPCG06Q10/0635G06Q10/06393G06Q50/04G06N3/084G06N3/086G06N3/045Y02P90/30
Inventor 周纪贤高巍张博源张梦鑫凌荣叶圣哲徐浩栋
Owner NINGBO UNIVERSITY OF TECHNOLOGY
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