The Research Of Forest Fires Monitoring Based On Internet Of Things Technology

Forest fire disaster happens occasionally in all regions in this world, the damage is very serious. It brings huge losses to the ecological, social and economic fields. Monitoring the key factors of forest regional environment is the most important part of risk analysis, which can predict fires in the region, and can supply true and reliable source of data for forest fire preliminary forecast and drawing up fire-extinguishing system. As the forest-covered area is usually big, remote and inaccessible, and no people or few people is on duty there, once the fire broke out in wind and dry season, the fire will spread rapidly if haven't discovered the fire in time. When discovered the fire, it is already difficult to control the situation. Therefore monitoring of forest fires has become a top priority. The current means of monitoring of forest fires mainly are artificial patrols, observation tower, video monitoring, machine monitoring and satellite monitoring patrols. Due to the rise of perception, transmission, data mining analysis, and the Internet of Things technology, automatic monitoring temperature, humidity and other data, high-precision of forest fire field, and use such data for data mining analysis, an effective prediction of forest fires, reduce the Forest fire hazard have become an important research direction.Based on the need for forest fire monitoring, combined with Internet of Things technology and apply ZigBee wireless sensor networks, GPRS data communication, Internet and computer software technology, object-based networking technology, this paper has built remote monitoring system of forest monitoring on the key factors of forest fires, such as on-site temperature, relative humidity and so on. In this paper, analyzes the critical technical issues of fire forest monitor, which is based on internet of thing. This paper is mainly to complete the following work:(1) Based on introduced the trend of internet of thing, analyzes the architecture of the Internet of Things, and objectives of Things technology-based forest fire monitoring, and presents the general three-tier program and layers of things work tasks of monitoring of forest fires.(2)Select the wireless sensor network for data collection in the perception of things layer. Next after analyzed and compared several major wireless short-range communication protocol, according to the characteristics of forest fire monitoring, select the ZigBee protocol for wireless sensor network communication protocols. Applying ZigBee-based wireless sensor network in forest fire monitoring system, can greatly improve the network scalability, lower maintenance costs and optimize the whole network system. Present the network programs of sensor network node, select and design the sensor module node, and complete the design of wireless sensor network node software.(3) The network layer of things, select GPRS, Internet network for data transmission networks. Analysis and design the PPP data link protocol, which is responsible for establishing data channels; select GPRS wireless data transparent transmission terminal, the terminal is responsible for data transfer between wireless sensor networks and the external network; GPRS wireless data transmission terminal can achieve transparent and transparent transmission of data, The GPRS module hardware chip embedded TCP/IP protocol, the user need not know the complexity of the agreement, for the user, which can reduce the software protocol development costs. Sink node (GPRS wireless data transmission transparent terminal) interact through the GPRS and Internet networks wireless sensor networks and data centers to monitor forest fires; In addition, design the data network scheme of GPRS wireless transparent transmission and converge the terminal serial port transceiver node procedure.(4) Take C # as the main things the application layer software development platforms, develop forest fire monitoring center software platform, implement monitoring forest fires' regional real-time data communications, storage and display, and implement Query capabilities of historical fire and current weather data; composite relative data, analyze the current area of forest fire monitoring data, to provide early warning of forest fires and other functions.In this paper, apply the advanced Internet of Things technology to forest fire monitoring network research. Presents a possible option,which is forest fire remote real-time monitoring by using a few human and financial, which provides a new way of thinking of for the prevention and reduction of forest Fires, and promote the work of forest fire monitoring information, intelligence.