A forest fire monitoring and early warning system based on the technology of multi-sensor and multilevel data fusion
The forest is deemed as a precious and indispensable ecological resource, but forest fire which is of common occurrence all over the world can destroy forest resource and threaten human-living environment. It is urgent for Forest Fire Prevention Departments to adopt a monitoring system that can predict the occurrence and spread of forest fire so as to reduce the loss caused by forest fire.
This paper illustrates a monitoring system for forest fire based on multi-sensor and 4G network. The hardware design and software implementations of the monitoring system are presented based on ZigBee technology and 4G communication technology. CC2530 SOC is chosen to acquire the data and send it to 4G network through which the data is transmitted to the remote monitoring server. By means of multi-sensor and multilevel data fusion, the system accomplishes forest fire early warning according to forest fire rating.
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