Comprehensive energy supply service station oil gas recovery system fault detection method oriented to data scarce scene

Abstract

The invention discloses a data scarcity scene-oriented comprehensive energy supply service station oil gas recovery system fault detection method. In order to solve the data scarcity problems of no historical fault samples, unbalanced samples among multiple devices and the like in an oil gas recovery system of a comprehensive energy supply service station, firstly, a clustering method is used for clustering normal data with similar distribution in all the devices into the same sample cluster, so that a small number of modeling samples of the original single device are expanded; the problem of sample imbalance among multiple devices is effectively solved; and then an unsupervised fault detection model is established based on each sample cluster, and a reconstruction error of a fault sample can be amplified in combination with an auto-encoder and a generative adversarial thought, so that the fault detection precision and sensitivity are effectively improved under the condition of no historical fault data. According to the method, the fault detection precision and sensitivity can be effectively enhanced under the scene of sample imbalance among multiple devices and no historical fault data, and a foundation is laid for safe and reliable operation and intelligent operation and maintenance of an oil gas recovery system of an energy supply station.

Description

technical field [0001] The invention belongs to the field of industrial process fault detection, and is oriented to industrial scenarios with scarce data such as no historical fault samples and unbalanced samples among multiple devices, especially for fault detection of an oil and gas recovery system of an integrated energy supply service station. Background technique [0002] The comprehensive energy supply service station is a new type of all-round, multi-functional and intelligent public infrastructure service facilities for transportation and energy. Cultural publicity, information consultation and other public services. It has the characteristics of many access devices, a wide range of service objects, and a large amount of information. Therefore, it is of great significance to develop comprehensive energy intelligent operation and maintenance and fault early warning and diagnosis technology and build a safety assessment model for key equipment at the site to improve s...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the scenarios where the oil and gas recovery system of the comprehensive energy supply service station lacks historical fault samples in the daily operation process, the sample size of a single oil gun system is not enough to model, and the traditional instrument monitoring method cannot timely and effectively detect A fault detection method for the oil and gas recovery system of an integrated energy supply service station is proposed for data-scarce scenarios.

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