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

A forest fire prevention intelligent monitoring system and method based on big data

An intelligent monitoring system and forest fire prevention technology, applied in the field of forest fire prevention, can solve the problems of inaccurate results, lack of technical means, etc., and achieve the effects of accurate results, full feasibility, and reduction of fire probability.

Active Publication Date: 2022-03-04
NANJING FORESTRY UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Among the current technical means, most of them are emergency solutions and aftermath of forest fires, and the control from the source of forest fires has achieved the purpose of preventing fires, but there is a lack of certain technical means, and the control means and prediction methods have limitations and limitations. Missing, resulting in inaccurate results

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
  • A forest fire prevention intelligent monitoring system and method based on big data
  • A forest fire prevention intelligent monitoring system and method based on big data
  • A forest fire prevention intelligent monitoring system and method based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] see Figure 1-4 , the present invention provides technical solutions:

[0051] Such as figure 1 As shown, a forest fire prevention intelligent monitoring system based on big data, the system includes a data acquisition module, a large database, a data analysis module, a data storage module, a data processing module, a feedback module, a control module, an early warning module, and an alarm module;

[0052] The output end of the data acquisition module...

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 prevention intelligent monitoring system and method based on big data, belonging to the technical field of forest fire prevention. The invention provides a forest fire prevention intelligent monitoring system based on big data. The system includes a data acquisition module, a large database, a data analysis module, a data storage module, a data processing module, a feedback module, a control module, an early warning module, and an alarm module; Provide a kind of forest fire prevention intelligent monitoring method based on big data, this method comprises the following steps: S1, collect the monitoring data of fire factor, transmit; Correlation function between factors; S3, substituting the collected data and outputting the result; S4, adjusting the function model to adapt to the current forest environment; S5, performing early warning or alarm operation. The invention monitors the fire conditions, reduces the fire occurrence frequency from the source, and more effectively prevents fire hazards.

Description

technical field [0001] The invention relates to the technical field of forest fire prevention, in particular to a forest fire prevention intelligent monitoring system and method based on big data. Background technique [0002] Forest fire is one of the greatest enemies of the forest environment. It has strong suddenness, great destructive ability, and high difficulty in handling and rescue, which has a great impact on social stability and people's living and working in peace and contentment. Forest fire prevention work is an important part of China's disaster prevention and reduction work, an important part of the construction of the national public emergency system, and the basis and premise for accelerating forestry development and strengthening ecological construction. [0003] Conditions are necessary for fire to occur. A forest fire must have combustible materials (including trees, grass shrubs and other plants), fire dangerous weather, and fire source. If one of the th...

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 Patents(China)
IPC IPC(8): G08B17/00G08B17/10G07C1/20G06F17/15
CPCG08B17/005G08B17/10G07C1/20G06F17/15
Inventor 苗心雨高德民
Owner NANJING FORESTRY UNIV
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