CN111915831A - Intelligent forest grassland fire prevention and rescue method - Google Patents
Intelligent forest grassland fire prevention and rescue method Download PDFInfo
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- CN111915831A CN111915831A CN201910386467.7A CN201910386467A CN111915831A CN 111915831 A CN111915831 A CN 111915831A CN 201910386467 A CN201910386467 A CN 201910386467A CN 111915831 A CN111915831 A CN 111915831A
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- aerial vehicle
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- 230000002265 prevention Effects 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012544 monitoring process Methods 0.000 claims abstract description 24
- 230000005540 biological transmission Effects 0.000 claims description 25
- 238000012545 processing Methods 0.000 claims description 13
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 8
- 238000009529 body temperature measurement Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 5
- 238000001931 thermography Methods 0.000 claims description 5
- 229910052742 iron Inorganic materials 0.000 claims description 4
- 238000013016 damping Methods 0.000 claims description 3
- 239000013307 optical fiber Substances 0.000 claims description 3
- 230000001681 protective effect Effects 0.000 claims description 3
- 238000007789 sealing Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/005—Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C3/00—Fire prevention, containment or extinguishing specially adapted for particular objects or places
- A62C3/02—Fire prevention, containment or extinguishing specially adapted for particular objects or places for area conflagrations, e.g. forest fires, subterranean fires
- A62C3/0271—Detection of area conflagration fires
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
Abstract
The invention discloses an intelligent forest grassland fire prevention and rescue method, and relates to the field of forest fire prevention. According to the invention, a non-contact all-weather monitoring front end is adopted to monitor all directions of a forest, when a fire source is ignited, the front end can quickly find the fire source, an alarm signal is sent to a rear end monitoring center through a wireless network, meanwhile, the front end quickly positions the fire source, the fire source position is sent to a fixed terminal through a positioning system, and after the fixed terminal acquires the fire source position, the unmanned aerial vehicle is driven to quickly arrive at the fire source place, so that the unmanned aerial vehicle can carry out high-altitude fire extinguishing.
Description
Technical Field
The invention relates to the field of forest grassland fire prevention, in particular to an intelligent forest grassland fire prevention and rescue method.
Background
Forest resources are one of the most important resources on the earth, are the basis of biological diversification and are one of indispensable resources for human survival. With the development of economy, the progress of society and the improvement of living standard of people, the requirements of people on the environment are higher and higher. The quality of air and ecological environment directly affect the health condition and life quality of residents.
However, forest and grassland fires have the characteristics of sudden occurrence, randomness of disaster occurrence and huge loss caused in a short time. Therefore, once a fire occurs, whether the fire can be suppressed at the highest speed in a short time or not mainly depends on the timeliness and accuracy of discovery and the reasonability of rescue decision, so that active exploration and research are conducted at home and abroad in the aspects of preventing, reducing and controlling forest and grassland fires, and the existing fire prevention and rescue method is low in fire fighting efficiency and high in cost.
Disclosure of Invention
The invention aims to: in order to solve the problems of low fire fighting efficiency and high cost of the existing fire prevention and rescue method, an intelligent forest grassland fire prevention and rescue method is provided.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent forest grassland fire prevention and rescue method comprises the following steps:
the method comprises the following steps: installing front-end equipment at the high places of the forest at equal distances;
step two: a 38-time long-focus integrated fog-penetrating camera and a 35mm temperature-measuring thermal imager in front-end equipment are used for monitoring the forest in real time;
step three: a 35mm temperature measurement type thermal imager in the front-end equipment transmits the collected thermal image to a fire behavior recognition analysis processing module in the front-end equipment;
step four: a fire recognition, analysis and processing module in the front-end equipment accurately analyzes and classifies the fire, judges whether the fire is a fire, a wild animal, a vehicle or a person, and positions the fire on a visible light image;
step five: a fire recognition, analysis and processing module in the front-end equipment sends an alarm signal to a rear-end monitoring center through network transmission after judging a fire source;
step six: a variable-speed digital tripod head and a 38-time long-focus integrated fog-penetrating camera in the front-end equipment quickly realize accurate positioning on fire conditions;
step seven: the front-end equipment wirelessly transmits the positioning address to a monitoring management center through a positioning system;
step eight: a background system of the monitoring management center automatically sends a corresponding instruction to drive the unmanned aerial vehicle carrying the fire extinguishing device to rapidly fly to a fire source place;
step nine: the unmanned aerial vehicle carrying the fire extinguishing apparatus extinguishes the fire source place.
Preferably, the front-end equipment comprises a 38-time long-focus integrated fog-penetrating camera, a 35mm temperature measurement type thermal imaging, a variable-speed digital pan-tilt, a fire recognition analysis processing module, a high-protection strong-sealing protective cover, an equipment anti-theft alarm subsystem, a power supply subsystem, an optical fiber or digital microwave transmission subsystem, a base station protection subsystem, an iron tower infrastructure, a lightning protection grounding subsystem and the like.
Preferably, the back-end monitoring center is composed of a digital bridge receiving device, a forest fire prevention database management server, a GIS geographic information system client, a spliced television wall, an FTP server, a streaming media server, a storage server, a video comprehensive management platform, an alarm management server, a machine room lightning protection grounding device, a UPS and the like.
Preferably, the network transmission in the fifth step is a wireless network transmission system, and the wireless network transmission system includes front-end digital network bridge transmission, relay, and central machine room network bridge reception.
Preferably, the variable-speed digital pan-tilt and the 38-time long-focus integrated fog-penetrating camera in the front-end device in the step six position the fire source location through a high-precision GIS and an elevation database.
Preferably, the monitoring management center has an unmanned cabin, an apron is arranged in the unmanned cabin, and the apron is provided with an unmanned automatic homing locking device and a damping device.
Preferably, when the unmanned aerial vehicle in step eight encounters an obstacle affecting signal connection transmission in the operation process, the unmanned aerial vehicle carrying the communication relay module establishes a transmission bridge corresponding to signal connection, so that signal connection and transmission of the unmanned aerial vehicle at one end of the obstacle are realized, and the unmanned aerial vehicle carrying the communication relay module hovers at the top end of the obstacle.
Compared with the prior art, the invention has the beneficial effects that: the invention adopts a non-contact all-weather monitoring front end to monitor all directions of a forest, when a fire source is ignited, the front end can find the fire source in real time and send an alarm signal to a rear-end monitoring management center through a wireless network, meanwhile, the front end rapidly positions the fire source position and sends the fire source position to the monitoring management center through a positioning system, and a monitoring management center background system automatically sends a corresponding instruction to drive an unmanned aerial vehicle carrying a fire extinguishing device to rapidly fly to the fire source place; the unmanned aerial vehicle carrying the fire extinguishing apparatus extinguishes the fire source place. The scheme finds the fire in time, has high response speed and low price and is suitable for popularization.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An intelligent forest grassland fire prevention and rescue method comprises the following steps:
the method comprises the following steps: mounting front-end equipment at the high position of a forest at equal distance on a forest grassland;
step two: a 38-time long-focus integrated fog-penetrating camera and a 35mm temperature-measuring thermal imager in the front-end equipment are used for monitoring forest grassland in real time;
step three: a 35mm temperature measurement type thermal imager in the front-end equipment transmits the collected thermal image to a fire behavior recognition analysis processing module in the front-end equipment;
step four: a fire recognition, analysis and processing module in the front-end equipment accurately analyzes and classifies the fire, judges whether the fire is a fire, a wild animal, a vehicle or a person, and positions the fire on a visible light image;
step five: a fire recognition, analysis and processing module in the front-end equipment sends an alarm signal to a rear-end monitoring center through network transmission after judging the fire;
step six: a variable-speed digital tripod head and a 38-time long-focus integrated fog-penetrating camera in the front-end equipment quickly realize accurate positioning on fire conditions;
step seven: the front-end equipment wirelessly transmits the positioning address to a monitoring management center through a positioning system;
step eight: a background system of the monitoring management center automatically sends a corresponding instruction to drive the unmanned aerial vehicle carrying the fire extinguishing device to rapidly fly to a fire source place;
step nine: the unmanned aerial vehicle carrying the fire extinguishing apparatus extinguishes the fire source place.
Example 1
As a preferred embodiment of the present invention: the front-end equipment comprises a 38-time long-focus integrated fog-penetrating camera, a 35mm temperature measurement type thermal imaging, a variable-speed digital pan-tilt, a fire recognition analysis processing module, a high-protection strong-sealing protective cover, an equipment anti-theft alarm subsystem, a power supply subsystem, an optical fiber or digital microwave transmission subsystem, a base station protection subsystem, an iron tower infrastructure, a lightning protection grounding subsystem and the like; the 38 times long-focus integrated fog-penetrating camera, the 35mm temperature measurement type thermal imaging, the variable speed digital cradle head and the fire behavior recognition, analysis and processing module carry out all-around monitoring and analysis in the forest grassland, the fire prevention grade of the forest grassland is improved, each monitoring tool is arranged at the high position of the forest grassland by the foundation construction of the iron tower, the visual range of the monitoring tool is improved, thereby reduce the installation density of front end, thereby reduce installation cost, the protection seals protection casing, equipment burglar alarm subsystem, lightning protection ground subsystem, basic station protection subsystem carries out real-time protection to the front end by the protection, prevent that the front end from taking place to damage under natural condition or think the condition, improves the life of front end, electronic system, optic fibre or digital microwave transmission subsystem provide the energy and transmit information way for the front end, make the front end can normal operating and go out the information transmission who catches when the operation.
Example 2
As a preferred embodiment of the present invention: the rear-end monitoring management center is composed of a digital network bridge receiving device, a forest and grassland fire prevention database management server, a GIS geographic information system client, a spliced television wall, an FTP server, a streaming media server, a storage server, a video comprehensive management platform, an alarm management server, a machine room lightning protection grounding device, a UPS and the like; the remote centralized observation, control, evidence obtaining and the like of the forest grassland base station equipment are ensured for workers at a command center.
Example 3
As a preferred embodiment of the present invention: the network transmission in the step five is a wireless network transmission system which comprises front-end digital network bridge transmitting, relaying and central machine room network bridge receiving; the network transmission is a necessary link for realizing the video image and the fire alarm analysis data of the front-end monitoring point to a monitoring center machine room, and is an important component of the forest grassland fire prevention remote monitoring system.
Example 4
As a preferred embodiment of the present invention: and in the sixth step, the variable-speed digital pan-tilt and the 38-time long-focus integrated fog-penetrating camera in the front-end equipment are used for positioning the fire source place through a high-precision GIS and an elevation database, and the fire source with 2-4 square meters at the position of 2-5 kilometers can be monitored only by 35mm thermal imaging, so that the defect of adopting a pure video analysis algorithm in the past is overcome, the working efficiency of a background server is improved, and the hardware cost and the false alarm rate are reduced.
Example 5
As a preferred embodiment of the present invention: the monitoring management center is provided with an unmanned cabin, an air park is arranged in the unmanned cabin, and the air park is provided with an automatic homing locking device and a damping device of the unmanned aerial vehicle, so that the unmanned aerial vehicle can take off and land conveniently.
Example 6
As a preferred embodiment of the present invention: when the unmanned aerial vehicle in the step eight encounters an obstacle affecting signal connection transmission in the operation process, the unmanned aerial vehicle carrying the communication relay module establishes a transmission network bridge corresponding to signal connection, so that signal connection and transmission of the unmanned aerial vehicle at one end of the obstacle are realized, and the unmanned aerial vehicle carrying the communication relay module hovers at the top end of the obstacle. Can satisfy the normal operation of unmanned aerial vehicle under the complex environment.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (7)
1. An intelligent forest grassland fire prevention and rescue method is characterized by comprising the following steps: comprises the following steps:
the method comprises the following steps: mounting front-end equipment at the high position of a forest grassland at equal distance;
step two: a 38-time long-focus integrated fog-penetrating camera and a 35mm temperature-measuring thermal imager in front-end equipment are used for monitoring the forest in real time;
step three: a 35mm temperature measurement type thermal imager in the front-end equipment transmits the collected thermal image to a fire behavior recognition analysis processing module in the front-end equipment;
step four: a fire recognition, analysis and processing module in the front-end equipment accurately analyzes and classifies the fire, judges whether the fire is a fire, a wild animal, a vehicle or a person, and positions the fire on a visible light image;
step five: a fire recognition, analysis and processing module in the front-end equipment sends an alarm signal to a rear-end monitoring center through network transmission after judging the fire;
step six: a variable-speed digital tripod head and a 38-time long-focus integrated fog-penetrating camera in the front-end equipment quickly realize accurate positioning on fire conditions;
step seven: the front-end equipment wirelessly transmits the positioning address to a monitoring management center through a positioning system;
step eight: a background system of the monitoring management center automatically sends a corresponding instruction to drive the unmanned aerial vehicle to rapidly fly to a fire source place;
step nine: the unmanned aerial vehicle carrying the fire extinguishing apparatus extinguishes the fire source place.
2. The intelligent forest grassland fire prevention and rescue method as claimed in claim 1, characterized in that: the front-end equipment comprises a 38-time long-focus integrated fog-penetrating camera, a 35mm temperature measurement type thermal imaging, a variable-speed digital holder, a fire recognition analysis processing module, a high-protection strong-sealing protective cover, an equipment anti-theft alarm subsystem, a power supply subsystem, an optical fiber or digital microwave transmission subsystem, a base station protection subsystem, an iron tower infrastructure, a lightning protection grounding subsystem and the like.
3. The intelligent forest grassland fire prevention and rescue method as claimed in claim 1, characterized in that: the back-end monitoring management center is composed of a digital network bridge receiving device, a forest and grassland fire prevention database management server, a GIS geographic information system client, a spliced television wall, an FTP server, a streaming media server, a storage server, a video comprehensive management platform, an alarm management server, a machine room lightning protection grounding device, a UPS and the like.
4. The intelligent forest grassland fire prevention and rescue method as claimed in claim 1, characterized in that: and the network transmission in the step five is a wireless network transmission system, and the wireless network transmission system comprises front-end digital network bridge transmitting, relaying and central machine room network bridge receiving.
5. The intelligent forest grassland fire prevention and rescue method as claimed in claim 1, characterized in that: and sixthly, positioning the fire source place by the variable-speed digital cloud deck and the 38-time long-focus integrated fog-penetrating camera in the front-end equipment through the high-precision GIS and the elevation database.
6. The intelligent forest grassland fire prevention and rescue method as claimed in claim 1, characterized in that: the monitoring management center is provided with an unmanned cabin, an air park is arranged in the unmanned cabin, and the air park is provided with an automatic homing locking device and a damping device of the unmanned aerial vehicle.
7. The intelligent forest grassland fire prevention and rescue method as claimed in claim 1, characterized in that: when the unmanned aerial vehicle in the step eight encounters an obstacle affecting signal connection transmission during operation,
the unmanned aerial vehicle carrying the communication relay module is hovered at the top end of the obstacle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910386467.7A CN111915831A (en) | 2019-05-09 | 2019-05-09 | Intelligent forest grassland fire prevention and rescue method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910386467.7A CN111915831A (en) | 2019-05-09 | 2019-05-09 | Intelligent forest grassland fire prevention and rescue method |
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| CN111915831A true CN111915831A (en) | 2020-11-10 |
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| CN201910386467.7A Pending CN111915831A (en) | 2019-05-09 | 2019-05-09 | Intelligent forest grassland fire prevention and rescue method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114863626A (en) * | 2022-05-31 | 2022-08-05 | 西安理工大学 | Forest and grass fire monitoring platform based on deep learning framework |
| CN115240359A (en) * | 2022-07-15 | 2022-10-25 | 南京信息工程大学 | Monitoring devices based on remote sensing technique prevention forest fire |
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| US20180147429A1 (en) * | 2015-06-01 | 2018-05-31 | Gi Yeon WON | Fire extinguishing firefighting drone |
| CN108248885A (en) * | 2016-05-22 | 2018-07-06 | 程岚 | A kind of unmanned plane landing intelligent docking device with shock-absorbing function |
| CN207677730U (en) * | 2017-11-29 | 2018-07-31 | 广东省林业科学研究院 | A kind of forest fire emergency communication system |
| CN108744341A (en) * | 2018-04-16 | 2018-11-06 | 南京森林警察学院 | A kind of high-precision forest fires saving method |
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2019
- 2019-05-09 CN CN201910386467.7A patent/CN111915831A/en active Pending
Patent Citations (6)
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|---|---|---|---|---|
| CN203630903U (en) * | 2013-12-26 | 2014-06-04 | 北京东方巨融科技开发有限公司 | Front-end base station system based on forest fireproof monitoring and alarm |
| US20180147429A1 (en) * | 2015-06-01 | 2018-05-31 | Gi Yeon WON | Fire extinguishing firefighting drone |
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| CN108248885A (en) * | 2016-05-22 | 2018-07-06 | 程岚 | A kind of unmanned plane landing intelligent docking device with shock-absorbing function |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114863626A (en) * | 2022-05-31 | 2022-08-05 | 西安理工大学 | Forest and grass fire monitoring platform based on deep learning framework |
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| CN115240359A (en) * | 2022-07-15 | 2022-10-25 | 南京信息工程大学 | Monitoring devices based on remote sensing technique prevention forest fire |
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Application publication date: 20201110 |
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