Conference Paper

Design a wireless sensor network for methane monitoring system

School of Mechanical Engineering, Xi¿an Jiaotong University, Japan
DOI: 10.1109/INDIN.2008.4618174 Conference: Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
Source: IEEE Xplore


Automatic calibration technologies were useful at reducing the impacts of methane sensorpsilas stability that led to shortcomings of traditional gas detector, such as frequent recalibration, high maintenance cost, and high false alarm rate. This paper described a mini intelligent methane sensor to be used as a sensing node to form a real-time methane monitoring network based on nRF240. Moreover, a novel auto-calibration method is proposed to achieve the maintenance-free operation using the sensor network and achieved the auto diagnosis, and automatic dynamic correction of sensor nonlinear characteristic. This paper introduced the principle of the method, the hardware and software of the composing module. The network connectivity can be used not only for methane data collection but also for the calibration and diagnosis of the sensors through data processing of the nearby sensing node, which provided the effective supporting for automatic calibration of the single intelligent methane detector. An intelligent methane sensor system equipped with the network connectivity can perform the calibration autonomously in the field, and there is no need to prepare standard gases for each system as in the conventional calibration.

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    • "A mini intelligent methane detecting and alarm system for miners' lamp based MCU was developed [9]. Figure 1 shows principle diagram of the system. "
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    ABSTRACT: This paper describes the development of a mini intelligent methane sensor system to be used as a sensing node to assure a safe work environment in underground coal mines. Machine-mounted methane monitors must be used to continuously monitor methane levels during mining. The weak output signal from the Wheatstone bridge circiut often corrupts by sensor offset, noise, temperature and aging drift. This paper analyzed the main techniques of the developing Intelligent methanometer, such as automatic calibration, offset cancellation, sensitivity correction of the methane sensor's nonlinear and the influence of O-2 concentrations, and evaluated the performance of the methane measuring system. The experimental results and industry testing has shown that the capability of our system met with the requirement of standard for safety produce in coal mine. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
    Procedia Engineering 12/2011; 15:3843-3847. DOI:10.1016/j.proeng.2011.08.719
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    • "Node uses 8-bit 8 MHz microprocessor and 38.4 Kbps data rate operating at 433 MHz radio. Zhang et al. (2008) developed software for monitoring methane gas concentration and hardware node by using a mini intelligent methane sensor to form a real-time methane monitoring network based on NRF240. Network can be used both for data gathering and calibration purposes . "
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    ABSTRACT: Wireless sensor prototypes have varying hardware architectures and distinctive sensing principles. In this study, a prototype is developed for the purpose of monitoring leaks of methane (CH 4), which has explosive properties and is the main constituent of the natural gas, in the refineries or buildings and work places heating. The prototype can be mounted on the walls as well as it is portable. System is composed of the integration of methane gas sensor module NGM2611 to MicaZ mote. The sensor module is pre-calibrated and is a product of FIGARO firm. The MICAz is a 2.4 GHz, IEEE/ZigBee 802.15.4; board used for low-power, wireless and sensor networks. By means of the designed sensor prototypes, wireless sensor networks are established indoors; hence, methane gas leaks are detected and sent to the base stations. Data received by base station is monitored by the software on a computer connected to the base station. This study explains the system structure, parts of hardware and software design in detail. The aim of the system is to implement a wireless methane gas platform. This platform can be used to real time monitoring of the methane leaks which would be crucial for critical conditions and helpful to decrease risk of death due to those leaks.
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