Refining device pipe network integrity management level intelligent evaluation method

A technology with management level and integrity, applied in electrical digital data processing, design optimization/simulation, instruments, etc., can solve problems such as poor generalization ability, low convergence efficiency, large neural network structure, etc., and achieve good economic value and social value. The effect of value, efficient and accurate grasp, and high convergence rate

Inactive Publication Date: 2022-02-18
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the main method of pipeline network integrity management evaluation is neural network, commonly used is BP neural network and deep neural network, BP neural network has the characteristics of simple structure and strong self-learning ability, but it also has poor generalization ability and easy to fall into The pitfalls of local minima
A deep neural network is a perceptron composed of multiple hidden layers, which can effectively map complex nonlinear relationships, but the increase in the number of neurons in the hidden layer of a deep neural network will lead to a more complex model, resulting in a large amount of calculation increase, the calculation efficiency is not high, and it is easy to cause the defects of gradient disappearance and low convergence effici

Method used

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  • Refining device pipe network integrity management level intelligent evaluation method
  • Refining device pipe network integrity management level intelligent evaluation method
  • Refining device pipe network integrity management level intelligent evaluation method

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Experimental program
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Embodiment

[0047] Technical scheme of the present invention comprises the steps:

[0048] Step 1: Build a pipeline integrity management system for refining and chemical equipment: Integrate safety standardization specifications and HSE management system, use the HSE management system as the framework, from data collection, high consequence area identification, risk assessment, integrity assessment, risk reduction The integrity management system of the refining and chemical plant pipeline network is constructed from the perspective of maintenance and maintenance. The integrity management system constructed can not only respond to the policies of the supervision department, but also follow the conventional management mode of the oil and gas industry and build an advanced pipeline network management mode. Through advanced technology, improve the technical level of petrochemical enterprises, reduce the incidence of accidents, and promote economic development.

[0049] The specific steps to bui...

specific Embodiment

[0087] A specific example is as follows:

[0088] In the embodiment, the super wavelet adopts the contour wave, the intelligent algorithm selects the wolf pack algorithm, and constructs a fuzzy contour wave neural network optimized by the wolf pack algorithm to evaluate the integrity management level of the pipe network of a polypropylene plant in a petrochemical company. Taking the whole month as an evaluation cycle, select the relevant data of the pipe network integrity management of the polypropylene plant of the petrochemical company from January 2018 to June 2021, a total of 30 sets of data, the first 24 sets of data as training samples, and the last 6 sets of data as a test sample.

[0089] Through on-site research, expert interviews and questionnaire surveys were used to discover the main influencing factors of the integrity management level of the polypropylene plant pipe network, and the fishbone analysis method was used to determine the evaluation indicators of the p...

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PUM

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Abstract

The invention relates to a refining device pipe network integrity management level intelligent evaluation method. The method comprises the following steps of 1, construction of a refinery device pipe network integrity management system, 2, determination of a refinery device pipe network integrity management evaluation index system, and 3, design of an intelligent algorithm. The fuzzy ultra-wavelet neural network optimized by using the constructed intelligent algorithm can determine the refinery device pipe network integrity management level, and has high evaluation precision and evaluation efficiency. According to the model, the intelligence of the refinery device pipe network integrity management level evaluation can be improved, and the actual condition of the refinery device pipe network integrity management level can be accurately obtained, so that favorable theoretical support is provided for perfecting a refinery device pipe network integrity management system.

Description

technical field [0001] The invention relates to a method for assessing the integrity management level of a pipe network, in particular to a fuzzy ultrawavelet neural network evaluation method optimized by an intelligent algorithm for the integrity management level of a refinery plant pipe network. Background technique [0002] The integrity management of the pipeline network has received extensive attention. A complete integrity management system can effectively reduce the incidence of accidents, improve the service life of the pipeline network, and reasonably allocate the maintenance costs of the pipeline network. The research on pipe network integrity management in my country has made considerable progress, and the constructed pipe network integrity management system has been industrialized. The pipeline network of refining and chemical equipment plays a very important role in the process of national economic development, and the development of the safety management model ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F113/14G06F119/02
CPCG06F30/27G06F2113/14G06F2119/02
Inventor 孙佳明赵斌高殿奎
Owner LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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