Tanker liquid temperature sensor based on artificial neural network algorithm and method thereof

Abstract

The invention relates to the field of automatic detection, and in particular relates to a tanker liquid temperature sensor based on an artificial neural network algorithm and a method thereof. The system comprises a probe and a terminal system, the probe has an integration function for detecting the temperature and the liquid level, and the probe is electrically connected with a terminal; the probe comprises a bottom plate, a barrel, a transducer, an upper cover, a sealing ring, a shielding wire and a temperature sensor, one end of the barrel is connected with the bottom plate, and the other end of the barrel is connected with the upper cover; according to the liquid temperature sensing detection unit produced by adopting an integrated micro device manufacturing technology, the boundary dimension and the power consumption of the liquid temperature sensor and the liquid level sensor can be remarkably reduced, the application range of the sensor is expanded, and miniaturization of instruments, equipment and an instrument system is facilitated; the liquid temperature and the liquid level sensors carry out synchronous monitoring, so that the safety of the tanker can be diagnosed from multiple dimensions.

Description

technical field [0001] The invention relates to the field of automatic detection, in particular to a liquid temperature sensor for a tank car based on an artificial neural network algorithm and a method thereof. Background technique [0002] All kinds of flammable and explosive dangerous goods have huge safety hazards in the transportation process. Once leaked, it will cause poisoning, fire or even explosion accidents, seriously endangering people's lives and property safety. Therefore, during the transportation of various liquid dangerous goods, it is an important measure to ensure the safety of the transportation process to timely grasp the physical state of the tank transportation medium such as liquid level and temperature; [0003] At present, the monitoring methods for the liquid level of storage tanks are divided into contact type and non-contact type. The contact type mainly includes manual measuring method, float measuring device, servo type, capacitive type and mag...

AI Technical Summary

Problems solved by technology

[0003] At present, the monitoring methods for the liquid level of storage tanks are divided into contact type and non-contact type. The contact type mainly includes manual measuring method, float measuring device, servo type, capacitive type and magnetostrictive type liquid level gauge. Their common characteristics are The sensing element is in contact with the liquid to be measured, and there are risks such as wear and easy to be stuck and corroded by the liquid; the non-contact type mainly includes microwave radar, ray, laser and ultrasonic liquid level gauges, and their common feature is that the sensing element does not come into contact with the liquid to be measured , not affected by the medium, because the transport vehicles often have bumps in the driving process, resulting in irregular fluctuations in the liquid level, the data collected by the liquid level gauge is basically a non-stationary random signal, which is important for the liquid level It is difficult to obtain accurate liquid level data

[0004] At the same time, two sensors are currently required to measure liquid level and temperature. When installing on the tank, more holes need to be opened, while traditional non-contact liquid level gauges and thermometers are large in size and take up a lot of space

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