Forest fire prevention monitoring device

Abstract

The invention discloses a forest fire prevention monitoring device, which comprises at least one field fire prevention monitoring device, wherein the field fire prevention monitoring device is respectively in communication connection with a base layer monitoring processing center and an upper layer monitoring processing center, and the base layer monitoring processing center and the upper layer monitoring processing center are in communication connection. The forest fire prevention monitoring device has the advantages that workers of the upper layer monitoring processing center carry out fire prevention monitoring and control on image information, the missed report of fire disaster information of the base layer monitoring processing center is avoided, in addition, the upper layer monitoring processing center can correct information transmitted by a first storage unit and a second storage unit through a processor, when the information received by the first storage unit and the information received by the second storage unit are inconsistent, the inconsistent information is stored in an abnormal information storage unit, in addition, a warning device is started for reminding the workers, the fire disaster condition and the work condition of the base layer monitoring center can be further monitored, and the missed report of the fire disaster condition and the work careless omission of the base layer monitoring center are avoided.

Description

Technical field [0001] The present invention relates to the technical field of fire prevention monitoring, in particular to a forest fire prevention monitoring device. Background technique [0002] Forest fire is the most dangerous enemy of the forest, and it is also the most terrifying disaster of forestry. It will bring the most harmful and devastating consequences to the forest. Forest fires not only burn down tracts of forest and harm the animals in the forest, but also reduce the renewal capacity of the forest, cause soil impoverishment and destroy the role of forests in water conservation, and even cause the ecological environment to lose balance. Although the science of today’s world is advancing with each passing day, mankind still has not made great progress in subduing forest fires; therefore, forest fire prevention and detection are more practical than fighting. [0003] Forest fire monitoring methods include ground patrol, observation deck monitoring, aerial patrol, sa...

AI Technical Summary

Problems solved by technology

Insufficiency: Watchtowers cannot be set up in remote forest areas without living conditions; its observation effect is limited by terrain and terrain, and its coverage is small, with dead spots and gaps, so it cannot be observed. Fire and underground fire cannot be observed; thunder and lightning weather cannot be observed from the tower; lookout is a method of observation based on the experience of the lookout, with low accuracy and large errors

But there are also shortcomings: it is difficult to take off at night, in windy weather, and when the visibility is low on cloudy days. At the same time, the patrol is limited by the route and time, and the observation range is small. It can only observe a certain forest area once a day, such as missing the observation opportunity. , the forest fires on that day could not be observed, and it is easy to cause a catastrophe. The fixed flight cost is 2,000 yuan / hour, which is high in cost, and the cost of renting an aircraft is expensive, and the flight cost is seriously insufficient. This requires fixed-point video monitoring to make up for its deficiency

Deficiencies: The accuracy of NOAA-AVHRR is low, and it requires a lot of manpower, material and financial resources on the ground to verify, especially in places with inconvenient transportation, fire verification is very important

[0004] The video surveillance system is currently the mainstream monitoring method in China. This is a simple extension of traditional urban surveillance. The collected video images are collected through microwaves, and the centralized surveillance is completed manually; manual surveillance can easily cause eye fatigue, and the fire in the video is not easy to be detected. , resulting in missed reports; there are many video lines in the monitoring center, and manual monitoring cannot monitor them one by one, which may easily lead to missed reports

Therefore, the biggest disadvantage of traditional video surveillance is the very high false negative rate

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