CN111932812A - Intelligent forest fire prevention system based on unmanned aerial vehicle - Google Patents

Intelligent forest fire prevention system based on unmanned aerial vehicle Download PDF

Info

Publication number
CN111932812A
CN111932812A CN202010738397.XA CN202010738397A CN111932812A CN 111932812 A CN111932812 A CN 111932812A CN 202010738397 A CN202010738397 A CN 202010738397A CN 111932812 A CN111932812 A CN 111932812A
Authority
CN
China
Prior art keywords
module
aerial vehicle
unmanned aerial
fire
forest
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010738397.XA
Other languages
Chinese (zh)
Inventor
胡同欣
孙龙
窦旭
李飞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Northeast Forestry University
Original Assignee
Northeast Forestry University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Northeast Forestry University filed Critical Northeast Forestry University
Priority to CN202010738397.XA priority Critical patent/CN111932812A/en
Publication of CN111932812A publication Critical patent/CN111932812A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/005Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area
    • AHUMAN NECESSITIES
    • A62LIFE-SAVING; FIRE-FIGHTING
    • A62CFIRE-FIGHTING
    • A62C3/00Fire prevention, containment or extinguishing specially adapted for particular objects or places
    • A62C3/02Fire prevention, containment or extinguishing specially adapted for particular objects or places for area conflagrations, e.g. forest fires, subterranean fires
    • A62C3/0228Fire prevention, containment or extinguishing specially adapted for particular objects or places for area conflagrations, e.g. forest fires, subterranean fires with delivery of fire extinguishing material by air or aircraft
    • A62C3/0242Fire prevention, containment or extinguishing specially adapted for particular objects or places for area conflagrations, e.g. forest fires, subterranean fires with delivery of fire extinguishing material by air or aircraft by spraying extinguishants from the aircraft
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/12Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
    • G08B17/125Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Emergency Management (AREA)
  • Business, Economics & Management (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Forests & Forestry (AREA)
  • Computing Systems (AREA)
  • Automation & Control Theory (AREA)
  • Remote Sensing (AREA)
  • Public Health (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Ecology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Alarm Systems (AREA)

Abstract

An intelligent forest fire prevention system based on an unmanned aerial vehicle comprises the unmanned aerial vehicle and a background monitoring subsystem; the unmanned aerial vehicle comprises an unmanned aerial vehicle control subsystem, the unmanned aerial vehicle control subsystem is in wireless connection with the background monitoring subsystem, and the fire center management subsystem and the forest guard management subsystem are respectively in communication connection with the background monitoring subsystem; the unmanned aerial vehicle control subsystem comprises a microprocessor, a fire detection module, a positioning module, an environment monitoring module, a driving module, a steering module and a wireless communication module; the background monitoring subsystem comprises a central processing unit, a wireless transceiving module, a data processing module, an area dividing module, an alarm module, a graphic processing module, a forest fire recognition module, a fire analysis module and a display module. The intelligent unmanned aerial vehicle monitoring system is high in intelligent degree and diverse in function, not only is convenient for controlling the unmanned aerial vehicle, but also can effectively monitor a forest area, is beneficial to finding out fire and coping in time, is good in fireproof effect and excellent in using effect, and is suitable for popularization and use.

Description

Intelligent forest fire prevention system based on unmanned aerial vehicle
Technical Field
The invention relates to the technical field of forest fire prevention, in particular to an intelligent forest fire prevention system based on an unmanned aerial vehicle.
Background
The forest is a biological community taking woody plants as a main body, is an ecological system with the mutual dependence and restriction between concentrated trees and other plants, animals, microorganisms and soil and mutual influence with the environment, has rich species, complex structures and various functions, is known as the lung of the earth, and can be divided into coniferous forest, coniferous fallen deciduous leaf mixed forest, fallen deciduous leaf forest, evergreen deciduous leaf forest, tropical rain forest, tropical season rain forest, mangrove forest, coral island evergreen forest, sparse grassland and shrubbery forest according to the distribution of the forest on the land;
forest fire prevention refers to prevention and suppression of forest, forest and forest land fires, and three necessary conditions for forest combustion are combustible substances, oxygen and temperature, so that the season in which a forest is prone to fire is generally set as the forest fire prevention period, strict fire prevention measures need to be carried out, and fire emergency is well done;
in the aspect of forest fire prevention control, the mode of artifical tour is the main at present mostly, because the forest scope is great, needs more personnel to tour, and artifical tour wastes time and energy, and is inefficient, is difficult to discover the condition of a fire fast, awaits improving.
Disclosure of Invention
Objects of the invention
In order to solve the technical problems in the background art, the invention provides an intelligent forest fire prevention system based on an unmanned aerial vehicle, which is high in intelligent degree and diverse in functions, not only is convenient for controlling the unmanned aerial vehicle, but also can effectively monitor a forest area, is beneficial to timely finding fire and responding, is good in fire prevention effect and excellent in use effect, and is suitable for popularization and use.
(II) technical scheme
The invention provides an intelligent forest fire prevention system based on an unmanned aerial vehicle, which comprises the unmanned aerial vehicle, a background monitoring subsystem, a fire center management subsystem and a forest guard management subsystem;
the unmanned aerial vehicle comprises an unmanned aerial vehicle control subsystem, the unmanned aerial vehicle control subsystem is in wireless connection with the background monitoring subsystem, and the fire center management subsystem and the forest guard management subsystem are in communication connection with the background monitoring subsystem respectively;
the unmanned aerial vehicle control subsystem comprises a microprocessor, a fire detection module, a positioning module, an environment monitoring module, a driving module, a steering module, a speed detection module and a wireless communication module; the microprocessor is in communication connection with the fire detection module, the positioning module, the environment monitoring module and the speed detection module, and is in control connection with the driving module and the steering module; the system comprises a fire detection module, a positioning module, an environment monitoring module, a driving module, a steering module, a speed detection module and a wireless communication module, wherein the fire detection module is used for detecting fire occurring in a forest and sending detection data to a microprocessor, the positioning module is used for positioning the position of an unmanned aerial vehicle and sending positioning information to the microprocessor, the environment monitoring module is used for monitoring environment data in the environment of the unmanned aerial vehicle, the driving module is used for enabling the unmanned aerial vehicle to run, the steering module is used for achieving steering of the unmanned aerial vehicle, the speed detection module is used for detecting the speed of the unmanned aerial vehicle and sending the data to the microprocessor, and the wireless communication;
the background monitoring subsystem comprises a central processing unit, a wireless transceiver module, a data processing module, an area dividing module, an alarm module, a graphic processing module, a forest fire recognition module, a fire analysis module and a display module; the central processing unit is in communication connection with the data processing module, the wireless transceiver module, the area dividing module, the fire analysis module, the forest fire recognition module, the image processing module and the display module and is in control connection with the alarm module; the wireless transceiving is used for realizing the receiving and sending of information so as to realize the two-way transmission of the information, the data processing module is used for processing the received monitoring data and sending the processing result to the central processing unit, the area division module is used for dividing forest monitoring areas so as to realize the partition management, the alarm module is used for giving an alarm to remind background personnel, the graphic processing module is used for processing the received image, the forest fire recognition module is used for judging whether forest fire occurs according to the processed image and the related monitoring data, the fire analysis module is used for analyzing the fire and judging the level of the fire, and the display module is used for displaying various data information and monitoring images.
Preferably, be equipped with extinguishing device on the unmanned aerial vehicle, be equipped with fire extinguishing agent holding vessel and fire extinguishing agent spout on the extinguishing device, and extinguishing device is located unmanned aerial vehicle's bottom.
Preferably, the unmanned aerial vehicle is also provided with an alarm and a loudspeaker, the microprocessor controls and connects the alarm and the loudspeaker, and the alarm is a sound-light alarm;
wherein, the speaker is used for sending pronunciation in order to play the effect of direction of guide, and audible-visual alarm sends ear-piercing warning sound and the effect of dazzling light in order to play the warning, helps fire fighter and forest protection personnel in time to lock the condition of a fire position and remind near personnel to scatter.
Preferably, the unmanned aerial vehicle control subsystem further comprises a power supply module, an electric quantity monitoring module and an electric quantity analysis module; the power supply module is electrically connected with the electric parts for the unmanned aerial vehicle to supply power to the electric parts, the electric quantity monitoring module is in communication connection with the electric quantity analysis module, and the electric quantity analysis module is in communication connection with the microprocessor;
the electric quantity monitoring module is used for monitoring the electric quantity to be measured of the power supply module and sending data to the electric quantity analysis module, the electric quantity analysis module analyzes the operation duration which can be maintained by the unmanned aerial vehicle according to the electric quantity to be measured data and sends analysis information to the microprocessor in real time, and the unmanned aerial vehicle control subsystem sends the information back to the background monitoring subsystem; when the power supply module waits for the electric quantity to be less than a certain value, the backstage personnel control the unmanned aerial vehicle to return to prevent the electric quantity from exhausting and falling to damage.
Preferably, the unmanned aerial vehicle is a hexarotor unmanned aerial vehicle, and the positioning module is a Beidou positioning instrument or a GPS positioning instrument; the top of the unmanned aerial vehicle is provided with a solar power generation panel which is electrically connected with the power supply module;
the power supply module comprises a rechargeable lithium battery and a voltage stabilizing circuit, wherein the lithium battery is used for providing a power supply, and the voltage stabilizing circuit is used for stabilizing the voltage so as to ensure the stability of the power supply voltage.
Preferably, the region division module comprises a GIS information acquisition sub-module, a forest area calculation sub-module and a monitoring region division sub-module;
the system comprises a GIS information acquisition submodule, a forest area calculation submodule, a monitoring area division submodule and a monitoring area division submodule, wherein the GIS information acquisition submodule is used for acquiring GIS map information and sending the GIS map information to the forest area calculation submodule, the forest area calculation unit is used for calculating the forest area according to the GIS map information and sending the calculation information to the monitoring area division submodule, and the monitoring area division submodule is used for dividing the forest area into a plurality of monitoring areas according to the forest area and arranging unmanned aerial vehicle monitoring patrol in each monitoring area.
Preferably, the environment monitoring module comprises a temperature sensor, a humidity sensor, a wind speed sensor, a wind direction sensor, an air pressure sensor, an oxygen concentration sensor and a carbon dioxide concentration sensor;
temperature sensor is used for detecting the temperature of unmanned aerial vehicle place environment, and humidity transducer is used for detecting the humidity of unmanned aerial vehicle place environment, and air velocity transducer is used for detecting the wind speed of unmanned aerial vehicle place environment, and wind direction sensor is used for detecting the wind direction of unmanned aerial vehicle place environment, and oxygen concentration sensor is used for detecting the oxygen concentration of unmanned aerial vehicle place environment, and carbon dioxide concentration sensor is used for detecting the carbon dioxide concentration of unmanned aerial vehicle place environment.
Preferably, the fire detection module comprises a smoke detector and a high-definition camera; the smoke detector detects smoke conditions in the forest monitoring area, and the high-definition camera is used for shooting the forest monitoring area.
Preferably, the system further comprises a cloud server and a cloud storage; the background monitoring subsystem is in wireless connection with the cloud server, and the cloud server is in communication connection with the cloud storage; the background monitoring subsystem uploads the fire data to the cloud server in real time, and the cloud storage stores and backups related data information.
Preferably, the background monitoring subsystem further comprises a path planning module; the route planning module is in communication connection with the central processing unit and is used for planning the traveling route of the unmanned aerial vehicle and generating a route map.
The technical scheme of the invention has the following beneficial technical effects:
the driving module enables the unmanned aerial vehicle to fly, the steering module is used for steering the unmanned aerial vehicle, and finally the unmanned aerial vehicle is enabled to travel in a responsible forest monitoring area according to the planned path; the fire detection module detects fire occurring in a forest monitoring area, the positioning module positions the position of the unmanned aerial vehicle so that background personnel can know the position of the unmanned aerial vehicle and a fire place, the environment monitoring module is used for monitoring environment data in the environment where the unmanned aerial vehicle is located and helping the background personnel to know various environment data in the forest, and the speed detection module detects the speed of the unmanned aerial vehicle and helps to control the speed of the unmanned aerial vehicle;
the system comprises a region division module, a data processing module, a graphic processing module, a forest fire recognition module, an alarm module, a fire analysis module, a display module and a central processing unit, wherein the region division module is used for dividing a forest monitoring region to realize region division management, the data processing module is used for processing received monitoring data and sending a processing result to the central processing unit, the graphic processing module is used for processing a received image, the forest fire recognition module is used for judging whether forest fire occurs according to the processed image and related monitoring data, the alarm module is used for giving an alarm to remind background personnel to rapidly make a response, the fire analysis module is used for analyzing the fire and judging the level of the fire, and the display module is used for displaying various data information; the background monitoring subsystem sends information to the fire center management subsystem and the forest guard management subsystem, and fire fighters, forest guards and background personnel are matched with each other, so that the fire extinguishing efficiency is improved;
the intelligent unmanned aerial vehicle monitoring system is high in intelligent degree and diverse in function, not only is convenient for controlling the unmanned aerial vehicle, but also can effectively monitor a forest area, is beneficial to finding out fire and coping in time, is good in fireproof effect and excellent in using effect, and is suitable for popularization and use.
Drawings
Fig. 1 is a system block diagram of an intelligent forest fire prevention system based on an unmanned aerial vehicle according to the present invention.
Fig. 2 is a system block diagram of an unmanned aerial vehicle control subsystem in the intelligent forest fire prevention system based on the unmanned aerial vehicle.
Fig. 3 is a system block diagram of a background monitoring subsystem in the intelligent forest fire prevention system based on the unmanned aerial vehicle.
Fig. 4 is a system block diagram of an environment monitoring module in the intelligent forest fire prevention system based on the unmanned aerial vehicle according to the present invention.
Fig. 5 is a system block diagram of a power supply system in the intelligent forest fire prevention system based on the unmanned aerial vehicle.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1-5, the intelligent forest fire prevention system based on the unmanned aerial vehicle provided by the invention comprises the unmanned aerial vehicle, a background monitoring subsystem, a fire center management subsystem and a forest guard management subsystem;
the unmanned aerial vehicle comprises an unmanned aerial vehicle control subsystem, the unmanned aerial vehicle control subsystem is in wireless connection with the background monitoring subsystem, and the fire center management subsystem and the forest guard management subsystem are in communication connection with the background monitoring subsystem respectively;
the unmanned aerial vehicle control subsystem comprises a microprocessor, a fire detection module, a positioning module, an environment monitoring module, a driving module, a steering module, a speed detection module and a wireless communication module; the microprocessor is in communication connection with the fire detection module, the positioning module, the environment monitoring module and the speed detection module, and is in control connection with the driving module and the steering module; the system comprises a fire detection module, a positioning module, an environment monitoring module, a driving module, a steering module, a speed detection module and a wireless communication module, wherein the fire detection module is used for detecting fire occurring in a forest and sending detection data to a microprocessor, the positioning module is used for positioning the position of an unmanned aerial vehicle and sending positioning information to the microprocessor, the environment monitoring module is used for monitoring environment data in the environment of the unmanned aerial vehicle, the driving module is used for enabling the unmanned aerial vehicle to run, the steering module is used for achieving steering of the unmanned aerial vehicle, the speed detection module is used for detecting the speed of the unmanned aerial vehicle and sending the data to the microprocessor, and the wireless communication;
the background monitoring subsystem comprises a central processing unit, a wireless transceiver module, a data processing module, an area dividing module, an alarm module, a graphic processing module, a forest fire recognition module, a fire analysis module and a display module; the central processing unit is in communication connection with the data processing module, the wireless transceiver module, the area dividing module, the fire analysis module, the forest fire recognition module, the image processing module and the display module and is in control connection with the alarm module; the wireless transceiving is used for realizing the receiving and sending of information so as to realize the two-way transmission of the information, the data processing module is used for processing the received monitoring data and sending the processing result to the central processing unit, the area division module is used for dividing forest monitoring areas so as to realize the partition management, the alarm module is used for giving an alarm to remind background personnel, the graphic processing module is used for processing the received image, the forest fire recognition module is used for judging whether forest fire occurs according to the processed image and the related monitoring data, the fire analysis module is used for analyzing the fire and judging the level of the fire, and the display module is used for displaying various data information and monitoring images.
In an optional embodiment, the unmanned aerial vehicle is provided with a fire extinguishing device, the fire extinguishing device is provided with a fire extinguishing agent storage tank and a fire extinguishing agent nozzle, and the fire extinguishing device is positioned at the bottom of the unmanned aerial vehicle and can extinguish fire in time when a small fire occurs and control fire in time when a large fire occurs; the unmanned aerial vehicle is also provided with an alarm and a loudspeaker, the microprocessor controls and connects the alarm and the loudspeaker, and the alarm is a sound-light alarm; wherein, the speaker is used for sending pronunciation in order to play the effect of direction of guide, and audible-visual alarm sends ear-piercing warning sound and the effect of dazzling light in order to play the warning, helps fire fighter and forest protection personnel in time to lock the condition of a fire position and remind near personnel to scatter.
In an optional embodiment, the drone control subsystem further includes a power supply module, a power monitoring module, and a power analysis module; the power supply module is electrically connected with the electric parts for the unmanned aerial vehicle to supply power to the electric parts, the electric quantity monitoring module is in communication connection with the electric quantity analysis module, and the electric quantity analysis module is in communication connection with the microprocessor; the electric quantity monitoring module is used for monitoring the electric quantity to be measured of the power supply module and sending data to the electric quantity analysis module, the electric quantity analysis module analyzes the operation duration which can be maintained by the unmanned aerial vehicle according to the electric quantity to be measured data and sends analysis information to the microprocessor in real time, and the unmanned aerial vehicle control subsystem sends the information back to the background monitoring subsystem; when the power supply module waits for the electric quantity to be less than a certain value, the backstage personnel control the unmanned aerial vehicle to return to prevent the electric quantity from exhausting and falling to damage.
In an alternative embodiment, the unmanned aerial vehicle is a hexarotor unmanned aerial vehicle, and the positioning module is a Beidou positioning instrument or a GPS positioning instrument; the top of the unmanned aerial vehicle is provided with the solar power generation panel, the solar power generation panel is electrically connected with the power supply module, the solar power generation panel converts solar energy into electric energy, the power supply module stores the electric energy and supplies the electric energy to the electric parts of the unmanned aerial vehicle, the service life of the unmanned aerial vehicle is prolonged, and energy is saved; the power supply module comprises a rechargeable lithium battery and a voltage stabilizing circuit, wherein the lithium battery is used for providing a power supply, and the voltage stabilizing circuit is used for stabilizing the voltage so as to ensure the stability of the power supply voltage.
In an optional embodiment, the region division module comprises a GIS information acquisition sub-module, a forest area calculation sub-module and a monitoring region division sub-module; the GIS information acquisition submodule is used for acquiring GIS map information and sending the GIS map information to the forest area calculation submodule, the forest area calculation unit is used for calculating the forest area according to the GIS map information and sending the calculation information to the monitoring area division submodule, the monitoring area division submodule is used for dividing the forest area into a plurality of monitoring areas according to the forest area, and unmanned aerial vehicle monitoring and patrolling are arranged in each monitoring area, so that the forest can be monitored in a partitioning mode, the fire can be found in the first time, and the fire can be effectively prevented from spreading.
In an alternative embodiment, the environment monitoring module comprises a temperature sensor, a humidity sensor, a wind speed sensor, a wind direction sensor, an air pressure sensor, an oxygen concentration sensor and a carbon dioxide concentration sensor; temperature sensor is used for detecting the temperature of unmanned aerial vehicle place environment, humidity transducer is used for detecting the humidity of unmanned aerial vehicle place environment, air velocity transducer is used for detecting the wind speed of unmanned aerial vehicle place environment, wind direction sensor is used for detecting the wind direction of unmanned aerial vehicle place environment, oxygen concentration sensor is used for detecting the oxygen concentration of unmanned aerial vehicle place environment, carbon dioxide concentration sensor is used for detecting the carbon dioxide concentration of unmanned aerial vehicle place environment, can detect each item environmental data in the forest, make things convenient for backstage personnel to know the environmental information in the forest, excellent in use effect.
In an optional embodiment, the fire detection module comprises a smoke detector and a high-definition camera; the smoke detector detects smoke conditions in the forest monitoring area, and the high-definition camera is used for shooting the forest monitoring area, so that the fire condition can be found timely.
In an optional embodiment, the system further comprises a cloud server and a cloud storage; the background monitoring subsystem is in wireless connection with the cloud server, and the cloud server is in communication connection with the cloud storage; the background monitoring subsystem uploads the fire data to the cloud server in real time, and the cloud storage stores and backups related data information.
In an optional embodiment, the background monitoring subsystem further includes a path planning module; the route planning module is in communication connection with the central processing unit and is used for planning the traveling route of the unmanned aerial vehicle and generating a route map.
In the invention, the driving module enables the unmanned aerial vehicle to fly, the steering module is used for steering the unmanned aerial vehicle, and finally the unmanned aerial vehicle travels in a responsible forest monitoring area according to a planned path, and the wireless communication module is used for realizing bidirectional information transmission between the unmanned aerial vehicle control subsystem and the background monitoring subsystem; the fire detection module detects fire occurring in a forest monitoring area and sends detection data to the microprocessor, the positioning module positions the position of the unmanned aerial vehicle and sends positioning information to the microprocessor so that background personnel can know the position of the unmanned aerial vehicle and the fire place, the environment monitoring module is used for monitoring environment data in the environment where the unmanned aerial vehicle is located and helping the background personnel to know various environment data in the forest, and the speed detection module detects the speed of the unmanned aerial vehicle and sends the data to the microprocessor so as to help control the speed of the unmanned aerial vehicle;
the wireless transceiving is used for realizing the receiving and sending of information so as to realize the bidirectional transmission of the information, and finally, the control of the unmanned aerial vehicle and the receiving of monitoring information are realized; the system comprises a region division module, a data processing module, a graphic processing module, a forest fire recognition module, an alarm module, a fire analysis module, a display module and a central processing unit, wherein the region division module is used for dividing a forest monitoring region to realize region division management, the data processing module is used for processing received monitoring data and sending a processing result to the central processing unit, the graphic processing module is used for processing a received image, the forest fire recognition module is used for judging whether forest fire occurs according to the processed image and related monitoring data, the alarm module is used for giving an alarm to remind background personnel to rapidly make a response, the fire analysis module is used for analyzing the fire and judging the level of the fire, and the display module is used for displaying various data information; when a fire occurs, the background monitoring subsystem sends information to the fire center management subsystem and the forest protection personnel management subsystem, the sent information comprises the fire position, the fire level and various environmental data in the forest, and the fire fighters, the forest protection personnel and the background personnel are matched with each other, so that the fire extinguishing efficiency is improved;
the intelligent unmanned aerial vehicle monitoring system is high in intelligent degree and diverse in function, not only is convenient for controlling the unmanned aerial vehicle, but also can effectively monitor a forest area, is beneficial to finding out fire and coping in time, is good in fireproof effect and excellent in using effect, and is suitable for popularization and use.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.

Claims (10)

1. An intelligent forest fire prevention system based on an unmanned aerial vehicle is characterized by comprising the unmanned aerial vehicle, a background monitoring subsystem, a fire center management subsystem and a forest guard management subsystem;
the unmanned aerial vehicle comprises an unmanned aerial vehicle control subsystem, the unmanned aerial vehicle control subsystem is in wireless connection with the background monitoring subsystem, and the fire center management subsystem and the forest guard management subsystem are in communication connection with the background monitoring subsystem respectively;
the unmanned aerial vehicle control subsystem comprises a microprocessor, a fire detection module, a positioning module, an environment monitoring module, a driving module, a steering module, a speed detection module and a wireless communication module; the microprocessor is in communication connection with the fire detection module, the positioning module, the environment monitoring module and the speed detection module, and is in control connection with the driving module and the steering module; the system comprises a fire detection module, a positioning module, an environment monitoring module, a driving module, a steering module, a speed detection module and a wireless communication module, wherein the fire detection module is used for detecting fire occurring in a forest and sending detection data to a microprocessor, the positioning module is used for positioning the position of an unmanned aerial vehicle and sending positioning information to the microprocessor, the environment monitoring module is used for monitoring environment data in the environment of the unmanned aerial vehicle, the driving module is used for enabling the unmanned aerial vehicle to run, the steering module is used for achieving steering of the unmanned aerial vehicle, the speed detection module is used for detecting the speed of the unmanned aerial vehicle and sending the data to the microprocessor, and the wireless communication;
the background monitoring subsystem comprises a central processing unit, a wireless transceiver module, a data processing module, an area dividing module, an alarm module, a graphic processing module, a forest fire recognition module, a fire analysis module and a display module; the central processing unit is in communication connection with the data processing module, the wireless transceiver module, the area dividing module, the fire analysis module, the forest fire recognition module, the image processing module and the display module and is in control connection with the alarm module; the wireless transceiving is used for realizing the receiving and sending of information so as to realize the two-way transmission of the information, the data processing module is used for processing the received monitoring data and sending the processing result to the central processing unit, the area division module is used for dividing forest monitoring areas so as to realize the partition management, the alarm module is used for giving an alarm to remind background personnel, the graphic processing module is used for processing the received image, the forest fire recognition module is used for judging whether forest fire occurs according to the processed image and the related monitoring data, the fire analysis module is used for analyzing the fire and judging the level of the fire, and the display module is used for displaying various data information and monitoring images.
2. An intelligent forest fire prevention system based on unmanned aerial vehicle as claimed in claim 1, wherein the unmanned aerial vehicle is provided with a fire extinguishing device, the fire extinguishing device is provided with a fire extinguishing agent storage tank and a fire extinguishing agent nozzle, and the fire extinguishing device is located at the bottom of the unmanned aerial vehicle.
3. The intelligent forest fire prevention system based on the unmanned aerial vehicle as claimed in claim 1, wherein the unmanned aerial vehicle is further provided with an alarm and a speaker, the microprocessor controls and connects the alarm and the speaker, and the alarm is an acousto-optic alarm;
wherein, the speaker is used for sending pronunciation in order to play the effect of direction of guide, and audible-visual alarm sends ear-piercing warning sound and the effect of dazzling light in order to play the warning, helps fire fighter and forest protection personnel in time to lock the condition of a fire position and remind near personnel to scatter.
4. The intelligent forest fire prevention system based on the unmanned aerial vehicle as claimed in claim 1, wherein the unmanned aerial vehicle control subsystem further comprises a power supply module, an electric quantity monitoring module and an electric quantity analysis module; the power supply module is electrically connected with the electric parts for the unmanned aerial vehicle to supply power to the electric parts, the electric quantity monitoring module is in communication connection with the electric quantity analysis module, and the electric quantity analysis module is in communication connection with the microprocessor;
the electric quantity monitoring module is used for monitoring the electric quantity to be measured of the power supply module and sending data to the electric quantity analysis module, the electric quantity analysis module analyzes the operation duration which can be maintained by the unmanned aerial vehicle according to the electric quantity to be measured data and sends analysis information to the microprocessor in real time, and the unmanned aerial vehicle control subsystem sends the information back to the background monitoring subsystem; when the power supply module waits for the electric quantity to be less than a certain value, the backstage personnel control the unmanned aerial vehicle to return to prevent the electric quantity from exhausting and falling to damage.
5. The intelligent forest fire prevention system based on the unmanned aerial vehicle as claimed in claim 1, wherein the unmanned aerial vehicle is a hexarotor unmanned aerial vehicle, and the positioning module is a Beidou positioning instrument or a GPS positioning instrument; the top of the unmanned aerial vehicle is provided with a solar power generation panel which is electrically connected with the power supply module;
the power supply module comprises a rechargeable lithium battery and a voltage stabilizing circuit, wherein the lithium battery is used for providing a power supply, and the voltage stabilizing circuit is used for stabilizing the voltage so as to ensure the stability of the power supply voltage.
6. The intelligent forest fire prevention system based on the unmanned aerial vehicle as claimed in claim 1, wherein the area division module comprises a GIS information acquisition sub-module, a forest area calculation sub-module and a monitoring area division sub-module;
the system comprises a GIS information acquisition submodule, a forest area calculation submodule, a monitoring area division submodule and a monitoring area division submodule, wherein the GIS information acquisition submodule is used for acquiring GIS map information and sending the GIS map information to the forest area calculation submodule, the forest area calculation unit is used for calculating the forest area according to the GIS map information and sending the calculation information to the monitoring area division submodule, and the monitoring area division submodule is used for dividing the forest area into a plurality of monitoring areas according to the forest area and arranging unmanned aerial vehicle monitoring patrol in each monitoring area.
7. The intelligent forest fire prevention system based on the unmanned aerial vehicle as claimed in claim 1, wherein the environment monitoring module comprises a temperature sensor, a humidity sensor, a wind speed sensor, a wind direction sensor, a barometric pressure sensor, an oxygen concentration sensor and a carbon dioxide concentration sensor;
temperature sensor is used for detecting the temperature of unmanned aerial vehicle place environment, and humidity transducer is used for detecting the humidity of unmanned aerial vehicle place environment, and air velocity transducer is used for detecting the wind speed of unmanned aerial vehicle place environment, and wind direction sensor is used for detecting the wind direction of unmanned aerial vehicle place environment, and oxygen concentration sensor is used for detecting the oxygen concentration of unmanned aerial vehicle place environment, and carbon dioxide concentration sensor is used for detecting the carbon dioxide concentration of unmanned aerial vehicle place environment.
8. The intelligent forest fire prevention system based on the unmanned aerial vehicle as claimed in claim 1, wherein the fire detection module comprises a smoke detector and a high-definition camera; the smoke detector detects smoke conditions in the forest monitoring area, and the high-definition camera is used for shooting the forest monitoring area.
9. The unmanned aerial vehicle-based intelligent forest fire prevention system of claim 1, further comprising a cloud server and a cloud storage; the background monitoring subsystem is in wireless connection with the cloud server, and the cloud server is in communication connection with the cloud storage; the background monitoring subsystem uploads the fire data to the cloud server in real time, and the cloud storage stores and backups related data information.
10. The intelligent forest fire prevention system based on the unmanned aerial vehicle as claimed in claim 1, wherein the background monitoring subsystem further comprises a path planning module; the route planning module is in communication connection with the central processing unit and is used for planning the traveling route of the unmanned aerial vehicle and generating a route map.
CN202010738397.XA 2020-07-28 2020-07-28 Intelligent forest fire prevention system based on unmanned aerial vehicle Pending CN111932812A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010738397.XA CN111932812A (en) 2020-07-28 2020-07-28 Intelligent forest fire prevention system based on unmanned aerial vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010738397.XA CN111932812A (en) 2020-07-28 2020-07-28 Intelligent forest fire prevention system based on unmanned aerial vehicle

Publications (1)

Publication Number Publication Date
CN111932812A true CN111932812A (en) 2020-11-13

Family

ID=73315811

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010738397.XA Pending CN111932812A (en) 2020-07-28 2020-07-28 Intelligent forest fire prevention system based on unmanned aerial vehicle

Country Status (1)

Country Link
CN (1) CN111932812A (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112729248A (en) * 2020-12-18 2021-04-30 湖南文理学院 Remote sensing detection system and method based on unmanned aerial vehicle platform
CN112859931A (en) * 2021-01-11 2021-05-28 暨南大学 Unmanned aerial vehicle flight path planning method, forest fire prevention system and computer readable storage medium
CN112915421A (en) * 2021-01-21 2021-06-08 湖南林科达农林技术服务有限公司 Unmanned aerial vehicle-based forest fire retardant spraying method and unmanned aerial vehicle
CN113049025A (en) * 2020-11-18 2021-06-29 泰州市出彩网络科技有限公司 On-site state correction platform and method using signal analysis
CN113095282A (en) * 2021-04-29 2021-07-09 中山大学 Fire grading method, device, equipment and medium for island subareas
CN113102305A (en) * 2021-04-02 2021-07-13 重庆万重山智能科技有限公司 Cleaning mechanism and forest fire monitoring system based on unmanned aerial vehicle
CN113239616A (en) * 2021-04-29 2021-08-10 中山大学 Island fire rescue method and system based on unmanned ship-aircraft cluster cooperation
CN113536030A (en) * 2021-08-18 2021-10-22 湖南林科达农林技术服务有限公司 Intelligent forest fire prevention and extinguishing information management system
CN114037910A (en) * 2021-11-29 2022-02-11 东北林业大学 Unmanned aerial vehicle forest fire detecting system
CN114758465A (en) * 2022-03-30 2022-07-15 南京林业大学 Forest protection method based on unmanned cluster cooperative intelligent technology
CN115240347A (en) * 2022-06-02 2022-10-25 中国人民解放军军事科学院国防科技创新研究院 Self-maintaining robot cluster system for fire monitoring and control
CN118397772A (en) * 2024-04-18 2024-07-26 三峡大学 Forest fire prevention monitoring system

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105096508A (en) * 2015-07-27 2015-11-25 中国电子科技集团公司第三十八研究所 Forest-fire-prevention digital informatization integration command system
KR20160125589A (en) * 2015-04-21 2016-11-01 순천대학교 산학협력단 Apparatus for attitude stabilization of small unmanned aerial vehicle
CN106448019A (en) * 2016-11-14 2017-02-22 徐志勇 Unmanned aerial vehicle monitoring system for monitoring forest fire in real time
CN108762307A (en) * 2018-07-06 2018-11-06 钦州学院 Skyscraper natural gas standpipe safety pre-warning system based on unmanned machine testing
CN109334986A (en) * 2018-10-16 2019-02-15 沃尔夫曼消防装备有限公司 A kind of UAV system type fire extinguishing system
CN209037853U (en) * 2018-10-26 2019-06-28 刘飞虎 A kind of fire-fighting unmanned plane
CN110302488A (en) * 2019-06-12 2019-10-08 天府新区西南交通大学研究院 Autonomous fire-fighting UAV system and fire-fighting method
CN110335434A (en) * 2019-08-14 2019-10-15 安徽智立通科技股份有限公司 A kind of forestry fire prevention monitoring system
CN110390789A (en) * 2019-08-21 2019-10-29 深圳云感物联网科技有限公司 Forest fire protection data analysis system based on big data
CN110443970A (en) * 2019-08-12 2019-11-12 西安航空学院 A kind of intelligent forest fire prevention system
CN111243215A (en) * 2020-01-20 2020-06-05 南京森林警察学院 Low-altitude unmanned monitoring and early warning system and method for forest fire scene

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20160125589A (en) * 2015-04-21 2016-11-01 순천대학교 산학협력단 Apparatus for attitude stabilization of small unmanned aerial vehicle
CN105096508A (en) * 2015-07-27 2015-11-25 中国电子科技集团公司第三十八研究所 Forest-fire-prevention digital informatization integration command system
CN106448019A (en) * 2016-11-14 2017-02-22 徐志勇 Unmanned aerial vehicle monitoring system for monitoring forest fire in real time
CN108762307A (en) * 2018-07-06 2018-11-06 钦州学院 Skyscraper natural gas standpipe safety pre-warning system based on unmanned machine testing
CN109334986A (en) * 2018-10-16 2019-02-15 沃尔夫曼消防装备有限公司 A kind of UAV system type fire extinguishing system
CN209037853U (en) * 2018-10-26 2019-06-28 刘飞虎 A kind of fire-fighting unmanned plane
CN110302488A (en) * 2019-06-12 2019-10-08 天府新区西南交通大学研究院 Autonomous fire-fighting UAV system and fire-fighting method
CN110443970A (en) * 2019-08-12 2019-11-12 西安航空学院 A kind of intelligent forest fire prevention system
CN110335434A (en) * 2019-08-14 2019-10-15 安徽智立通科技股份有限公司 A kind of forestry fire prevention monitoring system
CN110390789A (en) * 2019-08-21 2019-10-29 深圳云感物联网科技有限公司 Forest fire protection data analysis system based on big data
CN111243215A (en) * 2020-01-20 2020-06-05 南京森林警察学院 Low-altitude unmanned monitoring and early warning system and method for forest fire scene

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113049025A (en) * 2020-11-18 2021-06-29 泰州市出彩网络科技有限公司 On-site state correction platform and method using signal analysis
CN112729248A (en) * 2020-12-18 2021-04-30 湖南文理学院 Remote sensing detection system and method based on unmanned aerial vehicle platform
CN112859931A (en) * 2021-01-11 2021-05-28 暨南大学 Unmanned aerial vehicle flight path planning method, forest fire prevention system and computer readable storage medium
CN112915421B (en) * 2021-01-21 2022-05-03 湖南林科达农林技术服务有限公司 Unmanned aerial vehicle-based forest fire retardant spraying method and unmanned aerial vehicle
CN112915421A (en) * 2021-01-21 2021-06-08 湖南林科达农林技术服务有限公司 Unmanned aerial vehicle-based forest fire retardant spraying method and unmanned aerial vehicle
CN113102305A (en) * 2021-04-02 2021-07-13 重庆万重山智能科技有限公司 Cleaning mechanism and forest fire monitoring system based on unmanned aerial vehicle
CN113095282A (en) * 2021-04-29 2021-07-09 中山大学 Fire grading method, device, equipment and medium for island subareas
CN113239616A (en) * 2021-04-29 2021-08-10 中山大学 Island fire rescue method and system based on unmanned ship-aircraft cluster cooperation
CN113536030A (en) * 2021-08-18 2021-10-22 湖南林科达农林技术服务有限公司 Intelligent forest fire prevention and extinguishing information management system
CN114037910A (en) * 2021-11-29 2022-02-11 东北林业大学 Unmanned aerial vehicle forest fire detecting system
CN114758465A (en) * 2022-03-30 2022-07-15 南京林业大学 Forest protection method based on unmanned cluster cooperative intelligent technology
CN114758465B (en) * 2022-03-30 2024-03-15 南京林业大学 Forest protection method based on unmanned cluster cooperative intelligent technology
CN115240347A (en) * 2022-06-02 2022-10-25 中国人民解放军军事科学院国防科技创新研究院 Self-maintaining robot cluster system for fire monitoring and control
CN118397772A (en) * 2024-04-18 2024-07-26 三峡大学 Forest fire prevention monitoring system

Similar Documents

Publication Publication Date Title
CN111932812A (en) Intelligent forest fire prevention system based on unmanned aerial vehicle
CN109448295B (en) Forest and grassland fire prevention early warning monitoring system
CN205068679U (en) Special unmanned aerial vehicle of forest zone conflagration prevention
CN206627830U (en) A kind of indoor fire-fighting UAS
CN202434011U (en) Automatic monitoring and alarming system for forest fire
CN106373318A (en) Fire prevention and control system based on LoRa technology
CN201597755U (en) Fire early warning airplane
CN205547518U (en) Intelligence helmet of riding
CN205525015U (en) Multi -functional firefighting rescue unmanned aerial vehicle
CN106971511A (en) A kind of atmosphere pollution monitoring and early warning system and method based on aircraft
CN110251861B (en) Forest fire-fighting system
CN112526065A (en) Unmanned aerial vehicle-based system and method for automatically positioning pollution source
CN113325774A (en) Forest ecological data monitoring system and method based on unmanned aerial vehicle
CN111694373A (en) Unmanned aerial vehicle monitoring system for ecological breeding
CN111840855A (en) All-round intelligent emergency rescue linkage command system
CN210428556U (en) Multipurpose electronic security inspection system based on unmanned aerial vehicle technology
CN111558187A (en) Forest fireman safety guarantee system and fire engine
CN208298351U (en) A kind of radar monitoring early warning system based on unmanned plane
CN202871010U (en) A double-waveband wireless forest fire early warning system based on an unmanned aerial vehicle
CN205881084U (en) Forest condition of a fire multidimension degree collection system integrates
CN213365704U (en) Solar energy forest bayonet socket pronunciation video early warning system
CN110675522A (en) Multipurpose electronic security inspection system based on unmanned aerial vehicle technology
CN115984719A (en) Forest region hidden danger identification method and equipment based on unmanned aerial vehicle
CN209392631U (en) A kind of high-altitude unmanned plane and fire-extinguishing
CN111899454A (en) Fire early warning system based on unmanned aerial vehicle

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20201113

RJ01 Rejection of invention patent application after publication