Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Forest fire early warning system based on wireless sensor network

A wireless sensor and forest fire technology, applied in the field of wireless sensor applications, can solve the problems of high cost, inaccuracy, and scattered data collection, and achieve the effects of timely and accurate fire risk level, effective and rapid prediction, and timely and accurate early warning

Inactive Publication Date: 2018-11-06
深圳源广安智能科技有限公司
View PDF5 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the traditional forest fire monitoring measures in China mainly include manual inspection, video observation, aircraft patrol and satellite remote sensing, etc., but they have the disadvantages of time-consuming, labor-intensive, high cost, scattered data collection, and inaccuracy, making it difficult to monitor accurately and comprehensively. predict fire

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Forest fire early warning system based on wireless sensor network
  • Forest fire early warning system based on wireless sensor network
  • Forest fire early warning system based on wireless sensor network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be further described in conjunction with the following application scenarios.

[0018] see figure 1 , a forest fire early warning system based on wireless sensor network, the system includes:

[0019] The wireless sensor network 100 is used to collect data on environmental impact factors in the forest;

[0020] The data processing module 200 is used to process the collected data to generate situational information capable of describing forest fires;

[0021] The fire prediction module 300 is used to predict the forest fire risk and determine the corresponding fire risk level according to the obtained situation information;

[0022] The alarm module 400 is configured to give a corresponding alarm according to the obtained fire risk level.

[0023] Beneficial effects: the present invention provides a forest fire early warning system based on a wireless sensor network. The system can obtain real-time data of environmental impact factors in the...

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 provides a forest fire early warning system based on a wireless sensor network. The system comprises a wireless sensor network for acquiring environmental impact factor data in a forest;a data processing module for processing the acquired data to generate a situation information capable of describing a forest fire situation; a fire prediction module for predicting the fire risk of the forest according to the obtained situation information, and determining a corresponding fire risk level; and an alarm module for giving a corresponding alarm according to the obtained fire risk level. The forest fire early warning system can effectively and quickly predict the future development trend of the forest fire through the wireless sensor network, and timely and accurately gives earlywarning on the forest fire and determines the fire risk level, and contributes to workers to take corresponding defensive measures timely.

Description

technical field [0001] The invention relates to the application field of wireless sensors, in particular to a forest fire early warning system based on wireless sensors. Background technique [0002] Forest fire is one of the most important natural disasters faced by human beings. Forests are precious resources for human beings, as well as guarantees for agricultural production and people's lives. The occurrence of forest fires leads to the destruction of forest resources and ecological environment, which are often difficult to fight and cause huge losses. Therefore, direct monitoring of forest fires can prevent problems before they happen, and can better carry out forest fire prevention and decision-making. At present, the traditional forest fire monitoring measures in China mainly include manual inspection, video observation, aircraft patrol and satellite remote sensing, etc., but they have the disadvantages of time-consuming, labor-intensive, high cost, scattered data c...

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
IPC IPC(8): G08B17/00H04W4/38H04W84/18
CPCG08B17/005H04W4/38H04W84/18
Inventor 孟玲
Owner 深圳源广安智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products