Detection and Early Warning of Toxic Gases Based on Semiconductor Wireless Sensors

Author:

Feng Lin1,Wang Jian1ORCID,Chen Ye1,Ding Chao2

Affiliation:

1. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China

2. School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China

Abstract

This paper studies a semiconductor wireless sensor system, which is composed of a semiconductor wireless sensor sampling circuit, gas-sensitive signal alarm and wireless transmitting circuit, and wireless radio frequency signal receiving circuit. The system is suitable for wireless monitoring of hydrogen fluoride gas in chemical plants. The hydrogen fluoride gas sensor is designed, integrated, and classified according to the polarity and size of the sensor output signal. The signal processing circuit of the sensor output signal is made with an integrated design. This paper developed a simulation experimental system for the wireless monitoring network characteristics of toxic hydrogen fluoride gas and completed the monitoring system’s sensor characteristic calibration and accuracy comparison simulation experiment, the communication distance test experiment of the communication system, and the research experiment on the influence of environmental humidity on the sensor characteristics of the monitoring system. In terms of software, the workflow of network nodes has been optimized. Since the structure of the wireless sensor network is not exactly the same in different application fields, the toxic gas monitoring system based on wireless sensor networks must focus on extending the network’s life cycle. Without affecting the normal operation of the system, distributed compressed sensing can greatly extend the service life of the system. Therefore, this subject combines the compressed sensing technology developed in recent years with the air monitoring system for the processing of transmission data, in order to achieve the purpose of further reducing the energy consumption of the system. The simulation experiment demonstrated that the lmF neural network combined with gas sensor array technology can realize qualitative identification, quantitative analysis of single gas, and quantitative analysis of mixed combustible gas. The research work in this area also provides a new way to further combine the miniature hydrogen fluoride gas sensor unit with sensor technology, integrate the hydrogen fluoride gas sensor unit and the electronic tag, and expand the wireless application of the gas sensor.

Funder

Key R&D Program of Yunnan Province

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Reference23 articles.

1. Designing of an embedded system for wireless sensor network for hazardous gas leakage control for industrial application;P. V. M. Deshmukh;i-Manager's Journal on Embedded Systems,2018

2. Design and implementation of a mobile robot for carbon monoxide monitoring;W. Rahmaniar;Journal of Robotics and Control (JRC),2021

3. 3D inkjet printed disposable environmental monitoring wireless sensor node

4. Design and Application of Toxic and Harmful Gas Monitoring System in Fire Fighting

5. 3D-Printed Disposable Wireless Sensors with Integrated Microelectronics for Large Area Environmental Monitoring

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