Gas traceability system based on Arduino trolley carrying sensor and algorithm thereof

Abstract

The invention discloses a gas traceability system based on an Arduino trolley carrying sensor and an algorithm thereof, relates to the technical field of gas source positioning, and solves the technical problems of manual checking of leakage conditions and leakage sources and dangers thereof, and the gas traceability system comprises a trolley, a gas sensor, a trolley positioning system and a gas source positioning system, the trolley is provided with a mainboard which is Arduino UNO R3 and is connected with the gas sensor which is a semiconductor gas sensor, the trolley is provided with a CC2530 radio frequency module based on a Zigbee protocol, the CC2530 radio frequency module is connected with the gas sensor, the CC2530 radio frequency module is provided with a transmitting node and a receiving node, Zigbee networking is carried out between the transmitting node and the receiving node, and the gas sensor is connected with the CC2530 radio frequency module. Triangle positioning, centroid algorithm positioning and genetic evolutionary algorithm searching are adopted, and gas concentration detection is combined with a related algorithm to position a leakage source.

Description

technical field [0001] The present invention relates to the technical field of gas source positioning, relates to a gas source positioning device, in particular to a system and an algorithm for gas traceability based on sensors mounted on an Arduino car. Background technique [0002] In recent years, many chemical accidents have occurred in my country's chemical industry, seriously threatening the lives of the people, causing huge economic losses, destroying the ecological environment, and even seriously affecting social stability. According to the announcement of the State Administration of Work Safety, about 70 % of accidental explosions of hazardous chemicals are caused by leakage, and once a dangerous gas leakage occurs, it is extremely dangerous to manually investigate the leakage and the source of the leakage, such as the aging of urban pipelines or the leakage of toxic industrial gases. It will cause huge losses to people's life and property safety. Once a dangerous ga...

AI Technical Summary

Problems solved by technology

[0013] (1) The ultrasonic positioning accuracy is high and the error is small, but the ultrasonic signal transmission attenuation is serious, the positioning range is limited, the equipment cost is high, and it is only suitable for indoor positioning applications in specific environments

[0014] (2) Infrared indoor positioning accuracy is high, but due to the wavelength characteristics infrared can not penetrate obstacles, it can only spread within a straight line of sight, the effective distance is short, the cost is high, and the practical application is not large

[0015] (3) Ultra-wideband (UWB) positioning accuracy is very high but the cost is also high

[0016] (4) Radio frequency identification (RFID) technology has a large transmission range and low cost, but the working distance is short, the longest is only tens of meters

[0022] The traditional algorithm is generally applicable to the gas leakage field with a smooth and continuous concentration gradient. Through the gradual search, comparison, and iteration of the concentration, the trolley advances step by step, with slow moving speed, many iterations, and long convergence time

Although the overall performance of the swarm intelligence algorithm is significantly improved compared with the traditional algorithm, it has higher requirements for the known information of the environment and needs to collect data in continuous grids, which is difficult to apply to scenes with unknown environmental information. The problem is that if crowd intelligence search is used, a large number of cars are required, and there is no advantage in terms of cost and implementation compared to fixed sensor networks.

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