Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Forest fire alarming method based on fire danger rating forecast

A forest fire and fire insurance technology, applied to forest fire alarms, fire alarms, alarms, etc., can solve the problems of reducing the monitoring effect of "3S" technology, limiting the stability of use, and the high cost of aircraft patrol monitoring. Improve decision-making ability and scheduling efficiency, increase convenience and simplicity, and improve the effect of fire warning function

Inactive Publication Date: 2015-07-22
ANHUI UNIVERSITY
View PDF7 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still some limitations that affect its monitoring effect
For example, satellite remote sensing images cannot implement all-weather and full-time monitoring of the same area. Due to the influence of factors such as weather and satellite off-track, the accuracy of fire point positioning is low, so that there are errors in judgment during monitoring.
These shortcomings have reduced the monitoring effect of "3S" technology in forest fires
The cost of aircraft patrol monitoring is too high. Although manual inspection and watchtower methods are simple and easy to implement, they need to invest a lot of financial, material and labor resources. There are many problems such as subjective paralysis of fire prevention personnel, unauthorized departure from posts, inability to monitor in real time, and limited coverage. unfavorable factors
[0005] Patent CN 103702444 B proposes a sensor network-based monitoring solution, but its sensor network has a large data flow, high battery energy consumption, and high sensor false alarm rate in the field environment, which requires manual verification and limited use stability

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Figure 1 to Figure 5 A specific embodiment of the invention is shown in which figure 1 It is a structural block diagram of the present invention; figure 2 is a multi-layer cluster topology diagram of a fire isolation zone; image 3 It is a hardware structural diagram of the fire danger information collection node of the present invention; Figure 4 Auxiliary positioning node cluster topology map for quadrilaterals; Figure 5 It is a hexagonal auxiliary positioning node cluster topology map.

[0024] See Figure 1 to Figure 5 , a forest fire early warning method based on fire danger level forecasting, including the first layer of data collection and fusion node cluster 1, the second layer of fire danger information collection and broadcasting node cluster 2 and the third layer of auxiliary positioning node cluster 3, and a communication Gateway 4, database 5 and GIS monitoring and control platform 6, the first layer of data collection and fusion node cluster 1, th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a forest fire alarming method based on fire danger rating forecast. According to the forest fire alarming method, first-level data collection and fusion node clusters, second-level fire danger information collection and broadcast node clusters, third-level auxiliary positioning node clusters, a communication gateway, a database, a GIS (geographic information system) monitoring control platform and a firefighting helmet are arranged, wherein the first-level data collection and fusion node clusters, the second-level fire danger information collection and broadcast node clusters and the third-level auxiliary positioning node clusters are connected with the database and the GIS monitoring control platform via the communication gateway, and the firefighting helmet is provided with a positioning structure and a communication structure. The forest fire alarming method has the advantages that a system is simple in structure, convenient to use and lower in system energy consumption; fire source position information can be judged precisely, a fire danger forecasting function can be strengthened, decision-making ability and scheduling efficiency of a firefighting commander can be improved effectively by the aid of the firefighting helmet, and the forest fire alarming method is high in applicability and practicability.

Description

technical field [0001] The invention belongs to the technical field of forest fire early warning, and in particular relates to a forest fire early warning method based on fire danger level forecast. Background technique [0002] Forest plays an important role in the national economy. It can not only provide timber and forest by-products needed for national construction and people's life, but also shoulder the responsibility of releasing oxygen, regulating climate, conserving water sources, maintaining water and soil, preventing wind and sand, beautifying the environment, and purifying the air. , noise reduction and tourism health care and other missions. At the same time, forests are also an important condition for stable and high yields of agriculture and animal husbandry. [0003] The occurrence of forest fires is the result of an extremely complex interaction between natural factors and human factors, which involves the type and distribution of tree species, the distribu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G08B17/00
CPCG08B17/005
Inventor 高志付王丹
Owner ANHUI UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products