Method for designing experimental scheme of pipe-conveying process evaluation based on complete relation active network

Abstract

The invention relates to a method for designing an experimental scheme of pipe-conveying process evaluation based on a complete relation active network. The design method comprises the steps of: putting forward the complete relation active network based on the active network (AOV (Activity On Vertex) network), modeling and describing the experimental scheme by using the complete relation active network, examining logic of the scheme based on a relation rule library, and analyzing conflicts of the scheme by traversing the active network. The method can be used for describing complete equipment motion relation and control parameters conveniently during complex experiment process, so that the scheme is convenient to parse and execute and understood by process experimental staff. The scheme is designed in a visible editing manner and can generate an open scheme and a screening scheme required by a simulation experiment of pipe-conveying process evaluation. The design method disclosed by the invention provides the advanced and efficient scheme design method for the simulation experiment of crude oil pipe-conveying process evaluation and improves the automaticity of the pipe-conveying process evaluation experiment.

Description

【Technical field】: [0001] The invention belongs to the technical field of pipeline transportation automation in the petroleum industry, and relates to a visual design method for the evaluation experiment scheme of the petroleum pipeline transportation process, which can be used for visual design, conflict analysis, simulation operation, and program distribution of the petroleum pipeline transportation process simulation experiment scheme and data processing to provide an executable process experiment plan for the pipeline transportation process evaluation automation system. 【Background technique】: [0002] With the sustained and rapid development of my country's national economy, the demand for oil is increasing. my country's crude oil production and use are usually far away, and there is a large amount of oil that needs to be transported from abroad, and oil pipeline transportation has become a very critical link in solving energy problems in my country. It is energy-saving...

AI Technical Summary

Problems solved by technology

[0004] (1) The metering of test oil samples is manually controlled, the accuracy is not high, and individual differences affect the measurement error.

[0005] (2) The sampling process is slow, and the oil sample is easily affected by the external environment. During the process of dumping the test oil sample, the oil sample is separated from the original simulation environment, which is very unfavorable to the test results of the experiment

[0006] (3) Manual monitoring experiments make the long and complicated evaluation simulation experiments fail due to the negligence of a human link

[0007] (4) There is a lack of a unified experimental information management platform to store and manage various useful data information, including experimental design information, experimental process data information, experimental results, analysis and evaluation information, etc.

[0010] (2) Improving measurement accuracy: by solving the problem of excessive human intervention in the existing evaluation methods, a large number of intermediate errors are introduced in the links of sample configuration, process simulation, parameter testing, etc., which affect the accuracy of evaluation

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