Network system for measuring water content of combustible materials

Abstract

The invention provides a network system which is used for measuring the water content of combustible materials and particularly applied to measurement of the water content of various plant litters in forest areas and provides a reliable basis for forest fire danger rating classification. Measurement points of the network system integrate embedded sensors for monitoring the water content of the litter, humus and surface soil and further integrate infrared water content sensors, weighing sensors, air temperature and humidity sensors and the like. A wireless self-organized communication network can be constructed among the measurement points of the network system. Multi-sensor measurement information of one measurement point and multiple measurement information of multiple measurement points refer to each other to reduce measurement errors, and water content measurement is completed in an information fusion mode. Measurement results are gathered at a management node through the wireless self-organized network and then uploaded to an information service center through a civil communication network or a satellite communication network, and then the information service center can conduct combustible material drying index judgment, fire danger rating deduction and the like by means of the data.

Description

technical field [0001] The invention relates to the field of measuring the moisture content of combustibles, in particular to a network system for measuring the moisture content of combustibles in forest areas. Background technique [0002] At present, in the field of forest fire monitoring, fire source detection and video surveillance technologies are relatively mature. However, such technical means are limited to timely discovery and monitoring after a fire occurs. At present, for fire warning and development trend monitoring before a fire occurs, my country mainly uses manual on-site sampling and measurement of soil, humus and fallen leaves, which has high labor costs and poor real-time performance. [0003] The three main conditions for forest fires are: forest combustibles, fire source and combustion-supporting materials. At this stage, forest fire risk forecasting is based on forest meteorological factors in the general environment and climate, and lacks real-time, f...

AI Technical Summary

Problems solved by technology

At this stage, forest fire risk forecasting is based on forest meteorological factors in the general environment and climate, and lacks real-time, fine, and accurate information on the soil environment, moisture content of combustibles, and humus layer that affect the occurrence of forest fires in specific key monitoring zones within the forest. data information

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