Compressed air system and intelligent pipe network leakage detecting method for same

Abstract

The invention relates to technology of fault diagnosis, and aims to provide a compressed air system and an intelligent pipe network leakage detecting method for the same. The intelligent pipe network leakage detecting method includes that signals of the pressure, the temperature and the flow of compressed air are acquired by a sensor mounted on a terminal delivery pipe network, and are transmitted to a low-pass filter circuit, received signals are coarsely filtered and are transmitted back to an upper computer by an A / D (analog / digital) conversion circuit via a lower computer, the upper computer obtains change relation of flow parameters along with time and the length of a pipeline according to actually measured data of a starting point and actually measured data of a finish point, and then a pipeline leakage detection function is realized by means of comparing theoretic output with actual output. The intelligent pipe network leakage detecting method adopting detection technology is high in leakage detection accuracy which is higher than 95 degrees, false alarm rate is lower than 3%, detection time is shorter than 55 seconds, sensitivity is high, and leakage quantity higher than 1.5% of delivery quantity of the pipeline can be detected. In addition, when the intelligent pipe network leakage detecting method is used for positioning a leakage point, precision is high, positioning precision error is lower than 1% of the total length of the pipeline, shutdown of a factory is avoided by means of online detection, and labor intensity of manual detection is reduced by means of online detection.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to a method and system for intelligently detecting leakage of a compressed air system pipe network based on a real-time transient model method. Background technique [0002] The compressed air system includes air compressors, cooling and drying equipment, filtering equipment, air storage tanks, transmission pipe networks and other main components, and provides airflow with a certain pressure for the production process according to the requirements of different industries. Due to the favorable factors such as safety, cleanliness, and easy control, it is widely used in industries such as automobiles, tires, textiles, semiconductors, chemicals, electric power, steel, and food. However, the energy waste in the compressed air system is very serious. 96% of the energy consumption of the compressed air system is the power consumption of industrial compressors. 6% of the country's ...

AI Technical Summary

Problems solved by technology

The online detection method is an external detection method based on pipeline pressure, temperature, flow, vibration and other operating parameters. The flow difference, pressure difference, negative pressure wave and sound wave method are more widely used. These methods are relatively low in cost and can be used continuously online. monitoring, but the positioning accuracy is low, and the rate of missed and false alarms of leakage accidents is high

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