Design and Research on the Gas Monitoring System Based on LabVIEW

2013 ◽  
Vol 427-429 ◽  
pp. 1254-1257
Author(s):  
Kuan Gang Fan ◽  
Xin Zhang ◽  
Qing Mei Cao ◽  
Ying Fei Sheng ◽  
Le Ping Zheng

Gas detection alarm system plays a more and more important role in People's Daily life and every field. This paper proposes semiconductor gas sensors and SCM as the core, which could achieves the gas concentration monitoring and alarm functions. The gas monitoring system includes host computer that consists of LabVIEW operating interface and slave computer that constructed with AT89C51 microcomputer and MQ-2 gas sensor.It achieves remote monitoring and controlling housing environment in real-time and has a certain practical value in society.

2013 ◽  
Vol 475-476 ◽  
pp. 209-213
Author(s):  
Hong Fang ◽  
Lin Cai Deng

This paper describes a embedded system,using ARM processor LPC2148 as the core of hardware,and using MQ series gas sensor as the detection component,and using ENC28J60 as the network communication interface,and using uc / OS-II real-time operating system as software platform for the real-time remote monitoring of density of harmful gases indoor.In this system,voltage signals from MQ sensor will be processed by the ARM micro-controller and be displayed in the LCD.Then they will be compared with the set voltage value.If they are greater than the set value,sound and light alarm will be touched off,and data will be transfered to the network through the ARM ENC28J6 network interface.Above all,the system is able to achieve accurate detection, alarm and remote monitoring indoor dangerous gases.


2014 ◽  
Vol 1073-1076 ◽  
pp. 2173-2176 ◽  
Author(s):  
Hui Chun Gao ◽  
Chao Jun Fan ◽  
Jun Wen Li ◽  
Ming Kun Luo

Aimed at the frequency gas accident of coal mine, we designed a coal mine gas monitoring system based on Arduino microcontroller. The MQ-4 gas sensor was used to collect gas concentration, wireless ZigBee was used to transfer data of gas concentration to PC. The system can display gas concentration real-timely by LCD and use SD card to store the data. The system will send out sound and light alarm when the gas concentration overruns. Industrial tests have been carried out in Wuyang coal mine. Results show that gas monitoring system can well adapt to environment of underground coal mine and the measurement is accurate. The system is real-time monitoring and early warning. It has the characteristics of low power consumption, low cost, wireless, good market prospect.


In Industry upset, gas detecting innovation discovers its significance where gas sensors utilized for identifying the dangerous gases. This has been created and changed slowly to improve its sensitivity and selectivity. Convenient and exact checking of combustible and risky gases inside the mines can help averting mishaps. Different wired and remote correspondence with the sensor hubs like Zigbee. Convention have been built up in later part and executed with Internet of Things (IoT) yet with impediments. In this paper the MQ2 gas sensors exhibit utilizing basic technique is proposed for better sensing and alterability the Node MCU (ESP8266) is utilized as a Wireless Fidelity (WiFi) module. The proposed work could build selectivity and better proficiency the undertaking expects to coming about a superior danger the executives framework.We incorporated how node mcu and ardunio are used for the advanced gas monitoring systems.


2011 ◽  
Vol 314-316 ◽  
pp. 2263-2267 ◽  
Author(s):  
Xiang Yun Wan ◽  
Hao Yang ◽  
Lan Hui Sun ◽  
Hao Min Tian ◽  
Zhan Feng Huang

At present, gas disaster is one of the main problems for Chinese coal industry. The prevention and control of gas accident is an important part of coal mine enterprise production safety. This paper uses wireless sensor network to collect the coal mine gas concentration parameter, transmits and stores the data to the server of gas monitoring system by information fusion of sink, and synchronously displays the data to the client in the state of three-dimensional space. When the gas concentration of monitored coal mine roadway is greater than the limit, the sound and light alarm will be trigged and the alarm area will be displayed. In the meantime, the information of contingency plan will be provided. The system gives a strong technical support for the early warning and controlling of gas disaster and provides a reference for the prevention of gas accidents in coal enterprises.


Author(s):  
I Gusti Made Ngurah Desnanjaya ◽  
I Nyoman Alit Arsana

Home security monitoring system is a system that is able to monitor the house from unwanted events such as theft. Home monitoring systems can monitor and send users notices about the condition of their homes at the same time. Notifications sent in the form of pictures of the state of the room in the house, temperature conditions and gas density conditions. The home security monitoring system was created using Raspberry Pi as the control center of the system. It was connected with several sensors namely PIR sensor is used to detect objects that enter the room, raspicam is used to take pictures when the PIR sensor detects objects, temperature sensors and gas sensors are used to detect the state of temperature and gas concentration, and telegram is used as a liaison application to send notifications from Raspberry Pi to tool users. The final result of this research is to build a home security monitoring system with Raspberry Pi based on telegraph messenger. This system is able to monitor the security of the house from burglars or intruders, notify the temperature of the house and detect smoke or gas.


2013 ◽  
Vol 311 ◽  
pp. 167-172
Author(s):  
Qiu Ping Luan ◽  
Ying Fang ◽  
Li Yan Yuan

This paper present a family safety monitoring system, which integrated function of telephone alarm, remote control by telephone network and Ethernet. Host alarm system, controlled by MCU, collects data wirelessly from sensors, and makes remote alarm by DTMF. The video processing and transmitting system, with a DSP chip of TMS320F28335 as the core processor, transmits the video data by means of Bluetooth indoors, and by Ethernet in the residential district, so that remote control through Internet can be implemented.


2012 ◽  
Vol 190-191 ◽  
pp. 1117-1120
Author(s):  
Juan He ◽  
Song Yue Yuan

A monitoring and alarm system of colliery gas has been designed with DSP technology. It has been simulated with CCS. The simulation results have shown that this system can realize the real-time on-line monitoring of the colliery gas concentration and auto-alarm when the concentration overruns.


2012 ◽  
Vol 462 ◽  
pp. 313-317
Author(s):  
Meng Ya Zhang ◽  
Qing Ying Zhang ◽  
Zhi Min Chen ◽  
Ying Chi

Being an important node of cold chain logistics, the cold store has to be monitored and managed remotely in real-time, which is very important to operate the whole system effectively. With the help of wireless sensing network and other advanced techniques, a cold store remote monitoring system is set up, which is composed of digital video surveillance system, refrigeration control system and fire alarm system etc. Cold store is then monitored in a long range and managed systemically. The security and reliability of the cold store is guaranteed effectively.


2021 ◽  
Vol 2128 (1) ◽  
pp. 012005
Author(s):  
Iman Gamal Morsi ◽  
Mohamed Essam Khedr ◽  
Aya Gamal Eldin Aly

Abstract The demand for LPG (Liquefied Petroleum Gas) detection constitutes a major and critical problem in the field of gas detection. LPG is used for domestic appliances used in the heating of buildings, producing petrochemicals and as a motor fuel. The current paper used the fabricated ZnO, in addition to TGS 813, TGS 2600, TGS 4160, TGS 3870, TGS 822 as semiconductor gas sensors, in varying temperature and load resistance in a prototype setup so as to explore each model’s accuracy for performance prediction for gas detection. The fabricated ZnO gas sensor is used also to detect the LPG. The comparison is done between gas sensors array and the fabricated one from ZnO. The actual results are put in comparison with the empirical algorithms’ predictions. The optimal model is found to be the full quadratic empirical model based on the lowest error with different sensors.


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