CN114023035A - All-weather full-automatic early detection system and detection method for forest fire - Google Patents
All-weather full-automatic early detection system and detection method for forest fire Download PDFInfo
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- CN114023035A CN114023035A CN202111263953.3A CN202111263953A CN114023035A CN 114023035 A CN114023035 A CN 114023035A CN 202111263953 A CN202111263953 A CN 202111263953A CN 114023035 A CN114023035 A CN 114023035A
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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- G—PHYSICS
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- 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
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
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Abstract
The invention discloses an all-weather full-automatic early detection system and a detection method for forest fires, wherein the system comprises a remote monitoring center and a plurality of monitoring stations, each monitoring station is provided with a central controller, a dual-spectrum smoke and fire detection device, an unmanned aerial vehicle and an unmanned aerial vehicle control terminal, and the central controller is respectively connected with the dual-spectrum smoke and fire detection device and the unmanned aerial vehicle control terminal; the remote monitoring center is provided with a background early warning server and a display terminal connected with the background early warning server; the central processing unit is communicated with the background early warning server through a wireless network. The invention adopts the dual configuration of the unmanned aerial vehicle and the camera, the camera can detect and discover suspicious fire points in a long distance and a large range, and the unmanned aerial vehicle can carry out secondary confirmation on fire information and extinguish small-scale fire. The two are mutually supplemented, the false alarm rate of the system can be reduced, the timeliness of fire confirmation is improved, the cost is better, the efficiency is higher, and the manual confirmation cost can be reduced.
Description
Technical Field
The invention belongs to the technical field of forest fire prevention safety, and particularly relates to an all-weather full-automatic early forest fire detection system and a detection method.
Background
The forest plays an important role in national economy, can only provide wood and forest byproducts required by national construction and people's life, and has multiple missions of releasing oxygen, adjusting climate, conserving water source, keeping water and soil, preventing wind and fixing sand, beautifying environment, purifying air, reducing noise, traveling and health care and the like. Meanwhile, the forest is also an important condition for stable yield and high yield in agriculture and animal husbandry.
Traditional forest smoke and fire observation tower adopts the manual work to watch, and is inefficient, follow-up video smoke and fire camera detecting equipment that adopts discerns the fire point automatically, and the wrong report rate is high, and the fire point is confirmed and is needed artifical the affirmation, and the mountain road is difficult to go, and the cost is big, confirms untimely.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an all-weather full-automatic early forest fire detection system and a forest fire detection method, wherein the system adopts dual configuration of an unmanned aerial vehicle and a camera, the camera can detect and find suspicious fire points in a long distance and a large range, the unmanned aerial vehicle can secondarily confirm fire information and extinguish small-scale fire, and the fire information and the small-scale fire are mutually supplemented, so that the false alarm rate of the system can be reduced, and the timeliness of fire confirmation is improved.
The purpose of the invention is realized by the following technical scheme: an all-weather full-automatic early forest fire detection system comprises a remote monitoring center and a plurality of monitoring stations, wherein each monitoring station is provided with a central controller, dual-spectrum smoke and fire detection equipment, an unmanned aerial vehicle and an unmanned aerial vehicle control terminal, and the central controller is respectively connected with the dual-spectrum smoke and fire detection equipment and the unmanned aerial vehicle control terminal; the remote monitoring center is provided with a background early warning server and a display terminal connected with the background early warning server; the central processing unit is communicated with the background early warning server through a wireless network;
be equipped with camera, wireless communication module, the GPS device that is used for the location that is used for gathering forest area video image on the unmanned aerial vehicle, camera and GPS device communicate with unmanned aerial vehicle control terminal through wireless communication module respectively.
The invention also discloses an all-weather full-automatic early detection method for forest fires, which comprises the following steps:
s1, numbering the monitoring stations, corresponding the numbers of the monitoring stations to the positions of the monitoring stations one by one, storing the numbers and the positions of the monitoring stations in a central controller of the monitoring station, and storing the numbers and the positions of all the monitoring stations in a background early warning server;
s2, the double-spectrum smoke and fire detection equipment collects video images of forest regions all weather, and the collected video images are stored in a central controller;
s3, the central controller judges whether a suspected fire point exists in the video image, if so, the suspected fire point image and the monitoring station number are transmitted to the background early warning server, and if not, the operation is ended;
s4, the background early warning server decides whether to perform early warning processing immediately or to confirm the fire information again by the unmanned aerial vehicle, if the early warning processing is required immediately, a fire alarm is sent out, and the position of the monitoring station is obtained through the number of the monitoring station; if the fire information needs to be confirmed again by the unmanned aerial vehicle, a confirmation instruction is sent to the central controller, and step S5 is executed;
s5, planning a flight path of the unmanned aerial vehicle by the central controller according to the position of a suspected ignition point detected by the double-spectrum smoke and fire detection equipment, and transmitting the planned flight path to an unmanned aerial vehicle control terminal;
s6, controlling the unmanned aerial vehicle to fly along a planned flight path by the unmanned aerial vehicle control terminal, acquiring image information on the unmanned aerial vehicle through a camera arranged on the unmanned aerial vehicle on the flight path, and transmitting the acquired image information to the central controller;
s7, the central controller transmits image information acquired by the unmanned aerial vehicle to a background early warning server for processing, the background early warning server judges whether a fire occurs in the image acquired by the unmanned aerial vehicle, if so, a fire alarm is sent out, the unmanned aerial vehicle is controlled to fly around the fire, and the accurate position of the fire is determined through a GPS device of the unmanned aerial vehicle; otherwise, the unmanned aerial vehicle is informed to return.
Furthermore, the double-spectrum smoke and fire detection equipment can rotate 360 degrees, and can acquire 360-degree forest area video images around a monitoring station.
Further, the specific implementation method of step S4 is as follows:
s41, transmitting the suspected fire point image to a display terminal for displaying, and waiting for manual confirmation to immediately perform early warning or to confirm the fire again by the unmanned aerial vehicle;
s42, if the artificial instruction is not received within the preset response time or the artificial instruction requiring the unmanned aerial vehicle to confirm the fire is received, indicating that the fire information needs to be confirmed again by the unmanned aerial vehicle, and sending an instruction for confirming the fire by the unmanned aerial vehicle to the central controller by the background early warning server; otherwise, a fire alarm is sent out.
Further, in step S5, the flight path of the drone is: and determining the position of the suspected ignition point according to the rotation angle of the double-spectrum smoke and fire detection equipment, wherein a straight line with the distance of the double-spectrum smoke and fire detection equipment detection distance is the flight path of the unmanned aerial vehicle from the detection station along the position of the suspected ignition point.
The invention has the beneficial effects that: according to the invention, the double configuration of the unmanned aerial vehicle and the double spectrum smoke and fire detection equipment is adopted, the double spectrum smoke and fire detection equipment can detect and discover suspicious fire points in a long distance and a large range, the central controller is in butt joint with the unmanned aerial vehicle control terminal, and sends air route information and instructions for taking off, hovering, landing and the like to the unmanned aerial vehicle control terminal, and the unmanned aerial vehicle control terminal forwards video data of the unmanned aerial vehicle in the flying process to the central controller and the background early warning server in real time to perform secondary confirmation on fire information. The two are mutually supplemented, the false alarm rate of the system can be reduced, the timeliness of fire confirmation is improved, the cost is better, the efficiency is higher, and the manual confirmation cost can be reduced.
Drawings
FIG. 1 is a flow chart of the all-weather full-automatic early forest fire detection method of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
The invention discloses an all-weather full-automatic early forest fire detection system which comprises a remote monitoring center and a plurality of monitoring stations, wherein each monitoring station is provided with a central controller, dual-spectrum smoke and fire detection equipment, an unmanned aerial vehicle and an unmanned aerial vehicle control terminal, and the central controller is respectively connected with the dual-spectrum smoke and fire detection equipment and the unmanned aerial vehicle control terminal; the remote monitoring center is provided with a background early warning server and a display terminal connected with the background early warning server; the central processing unit is communicated with the background early warning server through a wireless network;
be equipped with camera, wireless communication module, the GPS device that is used for the location that is used for gathering forest area video image on the unmanned aerial vehicle, camera and GPS device communicate with unmanned aerial vehicle control terminal through wireless communication module respectively.
As shown in FIG. 1, the all-weather full-automatic early forest fire detection method of the invention comprises the following steps:
s1, numbering the monitoring stations, corresponding the numbers of the monitoring stations to the positions of the monitoring stations one by one, storing the numbers and the positions of the monitoring stations in a central controller of the monitoring station, and storing the numbers and the positions of all the monitoring stations in a background early warning server;
s2, the double-spectrum smoke and fire detection equipment collects video images of forest regions all weather, and the collected video images are stored in a central controller; the dual-spectrum smoke and fire detection equipment can rotate 360 degrees, and can acquire 360-degree forest area video images around a monitoring station;
s3, the central controller judges whether a suspected fire point exists in the video image, if so, the suspected fire point image and the monitoring station number are transmitted to the background early warning server, and if not, the operation is ended;
s4, the background early warning server decides whether to perform early warning processing immediately or to confirm the fire information again by the unmanned aerial vehicle, if the early warning processing is required immediately, a fire alarm is sent out, and the position of the monitoring station is obtained through the number of the monitoring station; if the fire information needs to be confirmed again by the unmanned aerial vehicle, a confirmation instruction is sent to the central controller, and step S5 is executed;
the specific implementation method comprises the following steps:
s41, transmitting the suspected fire point image to a display terminal for displaying, and waiting for manual confirmation to immediately perform early warning or to confirm the fire again by the unmanned aerial vehicle;
s42, if the artificial instruction is not received within the preset response time or the artificial instruction requiring the unmanned aerial vehicle to confirm the fire is received, indicating that the fire information needs to be confirmed again by the unmanned aerial vehicle, and sending an instruction for confirming the fire by the unmanned aerial vehicle to the central controller by the background early warning server; otherwise, a fire alarm is sent out.
S5, planning a flight path of the unmanned aerial vehicle by the central controller according to the position of a suspected ignition point detected by the double-spectrum smoke and fire detection equipment, and transmitting the planned flight path to an unmanned aerial vehicle control terminal; the flight path of the unmanned aerial vehicle is as follows: and determining the position of the suspected ignition point according to the rotation angle of the double-spectrum smoke and fire detection equipment, wherein a straight line with the distance of the double-spectrum smoke and fire detection equipment detection distance is the flight path of the unmanned aerial vehicle from the detection station along the position of the suspected ignition point.
S6, controlling the unmanned aerial vehicle to fly along a planned flight path by the unmanned aerial vehicle control terminal, acquiring image information on the unmanned aerial vehicle through a camera arranged on the unmanned aerial vehicle on the flight path, and transmitting the acquired image information to the central controller;
s7, the central controller transmits image information acquired by the unmanned aerial vehicle to a background early warning server for processing, the background early warning server judges whether a fire occurs in the image acquired by the unmanned aerial vehicle, if so, a fire alarm is sent out, the unmanned aerial vehicle is controlled to fly around the fire, and the accurate position of the fire is determined through a GPS device of the unmanned aerial vehicle; otherwise, the unmanned aerial vehicle is informed to return.
The monitoring station is provided with 1-2 light unmanned aerial vehicles to stand by at any time, and the unmanned aerial vehicle control terminal is in butt joint with the central controller to realize real-time video transmission and transfer of related flight instructions. When the video detection camera detects a suspected fire point, the position of the suspected fire point is notified to the central controller of the station, the central controller transmits fire point information and video image information back to the background early warning system, and the early warning system makes a decision to immediately report early warning processing or directly confirm the unmanned aerial vehicle according to an early warning algorithm. Because double spectrum firework detecting equipment can only obtain appearing suspected ignition point in this detection distance on this angle through detection distance and rotation angle, can't confirm accurate ignition point position, consequently need gather the image information on the flight path through unmanned aerial vehicle, judge whether the condition of a fire information appears through the image information that unmanned aerial vehicle gathered to obtain the accurate position of ignition point through the GPS device.
In the flying process, the video data received by the unmanned aerial vehicle flight control terminal is transmitted back to the background early warning server through the central controller in real time, the early warning platform can watch the unmanned aerial vehicle video in real time, meanwhile, a video identification module of the platform can analyze fire pictures possibly appearing in the video of the unmanned aerial vehicle in real time, when the suspected fire point position is reached, the key analysis is carried out, meanwhile, the background early warning server informs the people to participate in fire point study and judgment, if no fire point is found, the fire point confirmation work is completed, the unmanned aerial vehicle automatically navigates back, if the early warning platform passes back the video through the unmanned aerial vehicle and is analyzed in real time, the fire point is also found, and sending high-level early warning, controlling the unmanned aerial vehicle to fly around the target fire point, informing a worker to confirm the fire condition, and returning the GPS positioning equipment of the unmanned aerial vehicle to the early warning platform in real time, thereby accurately calculating the accurate longitude and latitude position of the fire point. If the fire is confirmed to be found, the person on duty can directly remotely control the unmanned fire extinguishing system to extinguish the fire, issue emergency early warning of the fire and inform related persons to organize the work of putting out a fire in time.
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.
Claims (5)
1. An all-weather full-automatic early forest fire detection system is characterized by comprising a remote monitoring center and a plurality of monitoring stations, wherein each monitoring station is provided with a central controller, dual-spectrum smoke and fire detection equipment, an unmanned aerial vehicle and an unmanned aerial vehicle control terminal, and the central controller is respectively connected with the dual-spectrum smoke and fire detection equipment and the unmanned aerial vehicle control terminal; the remote monitoring center is provided with a background early warning server and a display terminal connected with the background early warning server; the central processing unit is communicated with the background early warning server through a wireless network;
be equipped with camera, wireless communication module, the GPS device that is used for the location that is used for gathering forest area video image on the unmanned aerial vehicle, camera and GPS device communicate with unmanned aerial vehicle control terminal through wireless communication module respectively.
2. An all-weather full-automatic early forest fire detection method is characterized by comprising the following steps:
s1, numbering the monitoring stations, corresponding the numbers of the monitoring stations to the positions of the monitoring stations one by one, storing the numbers and the positions of the monitoring stations in a central controller of the monitoring station, and storing the numbers and the positions of all the monitoring stations in a background early warning server;
s2, the double-spectrum smoke and fire detection equipment collects video images of forest regions all weather, and the collected video images are stored in a central controller;
s3, the central controller judges whether a suspected fire point exists in the video image, if so, the suspected fire point image and the monitoring station number are transmitted to the background early warning server, and if not, the operation is ended;
s4, the background early warning server decides whether to perform early warning processing immediately or to confirm the fire information again by the unmanned aerial vehicle, if the early warning processing is required immediately, a fire alarm is sent out, and the position of the monitoring station is obtained through the number of the monitoring station; if the fire information needs to be confirmed again by the unmanned aerial vehicle, a confirmation instruction is sent to the central controller, and step S5 is executed;
s5, planning a flight path of the unmanned aerial vehicle by the central controller according to the position of a suspected ignition point detected by the double-spectrum smoke and fire detection equipment, and transmitting the planned flight path to an unmanned aerial vehicle control terminal;
s6, controlling the unmanned aerial vehicle to fly along a planned flight path by the unmanned aerial vehicle control terminal, acquiring image information on the unmanned aerial vehicle through a camera arranged on the unmanned aerial vehicle on the flight path, and transmitting the acquired image information to the central controller;
s7, the central controller transmits image information acquired by the unmanned aerial vehicle to a background early warning server for processing, the background early warning server judges whether a fire occurs in the image acquired by the unmanned aerial vehicle, if so, a fire alarm is sent out, the unmanned aerial vehicle is controlled to fly around the fire, and the accurate position of the fire is determined through a GPS device of the unmanned aerial vehicle; otherwise, the unmanned aerial vehicle is informed to return.
3. An all-weather full-automatic early forest fire detection method as claimed in claim 2 in which the dual spectrum smoke and fire detection apparatus is capable of 360 ° rotation and capturing 360 ° video images of the forest area around the monitoring station.
4. The all-weather full-automatic early forest fire detection method according to claim 2, wherein the step S4 is implemented by the following steps:
s41, transmitting the suspected fire point image to a display terminal for displaying, and waiting for manual confirmation to immediately perform early warning or to confirm the fire again by the unmanned aerial vehicle;
s42, if the artificial instruction is not received within the preset response time or the artificial instruction requiring the unmanned aerial vehicle to confirm the fire is received, indicating that the fire information needs to be confirmed again by the unmanned aerial vehicle, and sending an instruction for confirming the fire by the unmanned aerial vehicle to the central controller by the background early warning server; otherwise, a fire alarm is sent out.
5. An all-weather full-automatic early forest fire detection method as claimed in claim 3, wherein in step S5, the flight path of the unmanned aerial vehicle is as follows: and determining the position of the suspected ignition point according to the rotation angle of the double-spectrum smoke and fire detection equipment, wherein a straight line with the distance of the double-spectrum smoke and fire detection equipment detection distance is the flight path of the unmanned aerial vehicle from the detection station along the position of the suspected ignition point.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115273403A (en) * | 2022-06-07 | 2022-11-01 | 福建永强岩土股份有限公司 | Landslide monitoring and early warning method and system |
| CN115775436A (en) * | 2022-11-02 | 2023-03-10 | 北京百瑞盛田环保科技发展有限公司 | A method and device for identifying and processing plain woodland fires |
| CN116421908A (en) * | 2023-04-07 | 2023-07-14 | 应急管理部沈阳消防研究所 | Forest fire prevention and control method and system based on fixed and movable combination |
| CN116580327A (en) * | 2023-07-12 | 2023-08-11 | 四川安信科创科技有限公司 | Unmanned aerial vehicle-based fire development prediction method and prediction system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115273403A (en) * | 2022-06-07 | 2022-11-01 | 福建永强岩土股份有限公司 | Landslide monitoring and early warning method and system |
| CN115775436A (en) * | 2022-11-02 | 2023-03-10 | 北京百瑞盛田环保科技发展有限公司 | A method and device for identifying and processing plain woodland fires |
| CN116421908A (en) * | 2023-04-07 | 2023-07-14 | 应急管理部沈阳消防研究所 | Forest fire prevention and control method and system based on fixed and movable combination |
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Application publication date: 20220208 |