CN112735071B - Forestry monitored control system based on internet - Google Patents
Forestry monitored control system based on internet Download PDFInfo
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- CN112735071B CN112735071B CN202011593454.6A CN202011593454A CN112735071B CN 112735071 B CN112735071 B CN 112735071B CN 202011593454 A CN202011593454 A CN 202011593454A CN 112735071 B CN112735071 B CN 112735071B
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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
- G08B17/005—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
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- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
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- A—HUMAN NECESSITIES
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- 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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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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- Y02A40/28—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture specially adapted for farming
Abstract
An Internet-based forestry monitoring system comprises a fixed detection end, a movable detection end, a central monitoring management center and an alarm center; the central monitoring management center is in data communication connection with the fixed detection end, the movable detection end and the alarm center respectively, acquires monitoring information of the fixed detection end and monitoring information of the movable detection end, and forms the Internet of things through the fixed detection end by the movable detection end. The method can inquire the pests and diseases inside the trees by analyzing the juice components of the trees, break through the problem that only the pests on the surfaces of the trees are observed in the traditional method, carry out effective pest observation and better protect the trees, and better detect the trees, analyze whether the pests of the trees or the nutrition problem and better aim at solving the problem of monitoring the trees by observing the leaves and analyzing the soil and the juice of the trees.
Description
Technical Field
The invention relates to the technical field of forestry management, in particular to an internet-based forestry monitoring system.
Background
China is a land-wide living country and has abundant forestry resources; nowadays, China has a large amount of forestry resources, which are mostly distributed in mountain forests, and in order to protect the forestry resources, at present, forest policemen, mountain army and other modes are mainly used, but on one hand, the forest trees are numerous and the trees are luxuriant, so that people can pass through the forest resources, which can cause safety hazards to people due to dangers of animals and the like of injured people, such as snakes and other fierce beasts, and also due to the environment of the forest, such as uneven mountains and terrain without roads; in the forest, due to the metabolism of the trees, leaves fall, withered trees and the like are accumulated on the ground, and the risk of forest fire is possibly caused. Therefore, how to effectively manage and monitor the forest becomes a technical problem which needs to be solved urgently.
Patent CN210297904U discloses a land-air synchronous dynamic inspection device for tree plants of tree species in forest protection areas, which comprises a ground inspection device, an air inspection device and a remote synchronous monitoring device; the ground inspection device comprises a crawler-type mountain bike inspection device, the aerial inspection device comprises an unmanned aerial vehicle body and an unmanned aerial vehicle camera, and the unmanned aerial vehicle camera is arranged at the head of the unmanned aerial vehicle body and used for shooting images of tree plants in a forest protection area at a downward shooting visual angle; the ground inspection device also comprises a crawler mountain bike controller and a crawler mountain bike communication device; the image signal output end of the crawler camera is connected with the image signal input end of the crawler mountain vehicle controller; the mountain bike controller is connected to the internet through the crawler mountain bike communication device; the remote synchronous monitoring device is a remote monitoring server, the remote monitoring server is accessed to the internet and carries out data interaction with the crawler mountain bike controller and the unmanned aerial vehicle controller in a network calling environment. The ground inspection device further comprises a crawler mountain bike data storage device, and the data end of the crawler mountain bike data storage device is connected with the data end of the crawler mountain bike controller. The method comprises the steps of shooting one-dimensional plane images of trees in a forest protection area by using a crawler-type mountain bike, shooting the trees in the forest protection area from the air by using an unmanned aerial vehicle to obtain second-dimensional image information, summarizing the information to a remote server through an internet technology, and monitoring dynamic changes of the two-dimensional images of the trees in the forest protection area in real time. This patent has solved present regional tree species dynamic monitoring mode of forest protection, the accuracy that exists is poor, inefficiency, the poor problem of real-time, it utilizes crawler-type mountain bike to carry out one-dimensional planar image shooting to the regional trees of forest protection, in addition, utilize unmanned aerial vehicle to dive the regional trees of forest protection from the air and shoot, obtain the image information of second dimension, then gather information to remote server through internet technology, and then carry out real time monitoring to the dynamic change of the two-dimensional image of the regional trees of forest protection.
Patent CN101020104A discloses an embedded forest fire early warning system based on video detection, which comprises a central monitoring station and monitoring points, which communicate with each other through a GPRS network; the monitoring point part comprises a monitoring camera, embedded video processing equipment and a GPRS data transmission module, the camera transmits the collected video information to the embedded video processing equipment, the data is subjected to fire recognition and analysis, the alarm information is quickly compressed into a data packet after the fire is found, and the data packet is transmitted to the central monitoring station through the GPRS network through the GRPS data transmission module; the terminal controller in the central monitoring station decompresses and displays information after receiving the data packet through the network, and the invention organically combines the digital image processing technology, the embedded technology and the wireless communication technology. The fire condition is automatically identified, the data transmission quantity required by the early warning mode for transmitting data at necessary moment is small, and manual real-time monitoring is not needed. The invention can identify whether fire occurs by analyzing the video data of the monitoring site and transmit pictures and related data to the monitoring center when necessary. The monitoring mode only transmits data when the abnormity is found, so that the data transmission amount is greatly reduced, the system can directly utilize the existing GPRS wireless network to receive and transmit data, and the necessity of additionally establishing a communication network to maintain the operation of the system is avoided. In addition, the system ensures that the central staff does not need to continuously monitor the videos of all monitoring points for 24 hours, and only needs to judge the field situation through the returned pictures under the condition of obtaining the alarm and carry out corresponding treatment. On one hand, the mode reduces the working intensity of personnel and improves the efficiency; on the other hand, the possibility of alarm delay due to human negligence is reduced.
The patent CN103297518A discloses a system for detecting climatic factors of forest litter decomposition, and the invention provides a system for monitoring climatic factors of forest litter decomposition, which comprises: the wireless sensing control unit is used for acquiring climate parameters; the wireless gateway servers are respectively and electrically connected with the at least one wireless sensing control unit and are used for receiving the climate parameters from the corresponding wireless sensing control units and forwarding the climate parameters, and the wireless gateway servers and the corresponding wireless sensing control units form an ad hoc network; and the monitoring terminal is in communication connection with the wireless gateway server and is used for acquiring the climate parameters forwarded by the wireless gateway server. The wireless sensing control unit is deployed in the field. The wireless gateway server can acquire data of the wireless sensing control units and further send the acquired data to the monitoring terminal, so that the monitoring terminal can be used for acquiring data of each monitoring point, and the wireless gateway server has the characteristics of low cost, accurate measurement and convenience and rapidness in maintenance. The system can simultaneously acquire various field climate factor parameters of a plurality of monitoring areas, realizes automatic control, remote manual control and linkage control between field electrical equipment and sensors, adopts wireless ad hoc networks, distributed calculation and battery power supply, supports large-scale field deployment, and has the advantages of accurate measurement, convenient maintenance and strong expansibility.
Patent CN202406870U discloses an intelligent online forest pest monitoring and forecasting system, which comprises a remote monitoring and forecasting site system, wherein the remote monitoring and forecasting site system is communicated with a monitoring and early warning center system through a communication network, and the monitoring and early warning center system is connected with a user terminal; the remote forecast site system comprises an intelligent insect condition sensing device, the intelligent insect condition sensing device comprises an insect condition sampler, the insect condition sampler is matched with a visual sensor and an acoustic sensor, the visual sensor and the acoustic sensor are both connected with an intelligent measurement and control terminal, and the intelligent measurement and control terminal is connected to a communication network through a communication module; the insect condition sampler, the visual sensor, the acoustic sensor, the intelligent measurement and control terminal and the communication module are powered by the power module. It can trap various pests automatically and has the function of killing pests. Compared with the traditional forestry video monitoring system, the system does not need workers to frequently watch the site video of each site, and the pest identification is automatic and intelligent. In addition, various pests are intelligently identified on site by methods such as machine vision, hearing and the like, full-automatic acquisition of pest situation data is realized, and manual intervention is not needed; secondly, insect pest situation data are transmitted in real time through a mobile communication network (GPRS, CDMA1x, 3G and the like) and are used for insect pest remote diagnosis or insect pest situation comprehensive analysis; and the system has the insect damage prompting and early warning function, and provides insect damage pictures and voices to assist experts in insect damage remote diagnosis and final insect damage confirmation. And the GIS is supported, the monitoring interface is visual, and the geographic information support can be provided for the comprehensive analysis of the insect situation. And the solar energy and the wind energy are supported for self-power supply, and the solar energy and the wind energy are not limited by power supply conditions. Can automatically trap various pests and has the function of killing pests. Can realize the long-term continuous real-time supervision of forestry insect pest, provide the first data for the scientific research of forestry insect pest. Compared with the traditional forestry video monitoring system, the system does not need workers to frequently watch the site video of each site, and the pest identification is automatic and intelligent.
As can be seen from the above documents, the prior art currently has the following technical problems:
(1) at present, although a mode of carrying out ground routing inspection by using a ground mountain bike and a mode of carrying out aerial routing inspection are used for detecting and monitoring forest conditions together, all detection means are completely independent, and effective combination is not available for carrying out forestry maintenance together;
(2) at present, the internet is used for combining all detection systems, but how to carry out combined detection is introduced, the monitoring means is only limited to that a camera is used for shooting videos and transmitting the videos to a background server for manual processing, on one hand, the excellent network is needed, the defects of high network construction cost and high maintenance cost are inevitably caused, and on the other hand, the monitoring videos are inevitably caused when a certain network node has a problem.
(3) In the existing system, only forest fires or forest diseases are monitored, and the influences of diseases, pests and forest fires are not comprehensively considered, so that a plurality of systems are needed, and the monitoring construction cost is greatly increased;
(4) the prior art can not effectively analyze only by utilizing video images, and generally needs the juice of trees for comprehensive analysis, comprehensively analyzes diseases and pests, soil quality or soil problems and carries out more detailed analysis, but the prior art does not have the technical means;
(5) the method has no effective treatment on dead wood and dead leaves of the forest, which easily causes fire, and the method has no effective treatment in the prior art.
In view of the above, it is desirable to provide a method and apparatus for quickly coordinating a plurality of chip manufacturing chambers so as to orchestrate the manufacturing chambers according to the manufacturing time, thereby better and quickly manufacturing chips and reducing the space of the equipment. However, the prior art has not provided an effective solution to the above technical problem.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses an Internet-based forestry monitoring system to solve the technical problems.
The invention adopts the following technical scheme:
an Internet-based forestry monitoring system comprises a fixed detection end, a movable detection end, a central monitoring management center and an alarm center; the central monitoring management center is in data communication connection with the fixed detection end, the movable detection end and the alarm center respectively;
the fixed detection end comprises; the infrared sensing equipment is arranged on a vertical rod in the open place of the forest or on a tree in the forest; the system comprises optical video sensing equipment, a monitoring system and a control system, wherein the optical video sensing equipment is used for acquiring a tree growth video of a forest; the forest growth condition detection module is arranged on the trees according to a certain rule, extracts juice of the trees and performs component analysis; the soil composition analysis module is arranged at a position close to the ground corresponding to the forest growth condition detection module and is used for detecting and analyzing soil and water compositions;
the mobile detection end comprises: the ground crawling robot is provided with a visual sensing module, a navigation module and a communication module, and the communication module is in communication connection with the central monitoring management center, so that the central monitoring management center controls the ground crawling robot to walk and monitor; the visual sensing module acquires a corresponding video image; the navigation module is internally provided with a positioning module and a path planning module, the positioning module is used for acquiring the current position of the ground crawling robot for navigation, and the path planning module plans a path for the ground crawling robot according to the position acquired by the positioning module so as to facilitate navigation;
the unmanned aerial vehicles comprise a first unmanned aerial vehicle carrying infrared sensing equipment and optical video sensing equipment, a second unmanned aerial vehicle carrying pesticide and chemical fertilizer spraying equipment and a third unmanned aerial vehicle carrying fire extinguishing equipment;
the first unmanned aerial vehicle is used for performing cruise under control or automatic cruise according to a control instruction and an automatic adaptive navigation module built in the first unmanned aerial vehicle, and acquiring an infrared image and an optical video image of a forest;
the second unmanned aerial vehicle is used for performing cruise control or automatic cruise control according to the control instruction module and an automatic adaptive navigation module built in the second unmanned aerial vehicle to spray pesticides and fertilizers;
the third unmanned aerial vehicle is used for carrying out automatic cruise or cruise under control according to the control instruction module and an automatic adaptive navigation module built in the third unmanned aerial vehicle, and spraying fire extinguishing agent;
the central monitoring management center acquires monitoring information of the fixed detection end and monitoring information of the movable detection end, the movable detection end forms an internet of things through the fixed detection end, and the movable detection end can communicate with the central monitoring management center by utilizing a transfer signal of the fixed detection end or the movable detection end in operation without depending on a traditional base station network.
Furthermore, the certain rule is implemented by adopting a statistical random sampling method, and is classified into a plurality of sampling speeds according to the monitored tree types planted in the forest, the distribution positions of the planted trees and the growth stages of the trees, and then a certain tree is selected according to a proportion to be arranged in the forest growth condition detection module.
Further, when a suspected fire is detected by the infrared sensing device of the fixed detection end, the optical video sensing device of the fixed detection end further acquires an optical video image so as to further confirm the fire and the specific fire position, so that a fire is found before the fire is found by the optical video, the warning information is sent to the central monitoring management center, and the central monitoring management center acquires the unmanned aerial vehicle three or ground crawling robot closest to the fire position and extinguishes the fire.
Further, central authorities control management center control fixed sense terminal is regular passback optical video image, ground creeping type robot of simultaneous control and unmanned aerial vehicle one cruises regularly according to the regulation route to obtain optical video image, central authorities control management center is according to the image that obtains, when the colour of woods leaf or blade shape appear unusually, the composition of woods growth condition detection module analysis juice to judge whether the inside condition by the insect pest that exists of trees, when the insect pest appears, central authorities control management center control two trees that spray the pesticide to the tree area of insect pest.
Further, central authorities control the management center according to the image that acquires, appears unusually or the leaf drops when the colour of forest leaf or the blade shape, and the leaf does not have by the obvious disappearance such as worm-eaten, the soil property analysis module analysis corresponding regional soil composition, when detecting the corresponding element content of soil composition and lack, central authorities control the control unmanned aerial vehicle two sprays the chemical fertilizer to the trees area that has the disease.
Furthermore, fixed sense terminal, ground crawl type robot with unmanned aerial vehicle can both realize communication connection by oneself, forms internet, and by at least one fixed sense terminal connection tradition internet so that with central monitoring management center carries out communication connection.
Further, central authorities control management center is according to the image that obtains, and the colour or the blade shape of trees leaf appear unusually or the leaf drops, central authorities control management center control ground crawl formula robot goes to corresponding abnormal position, carries on the composition and the soil juice composition of the corresponding unusual trees of trees juice detection module analysis through it to judge whether there is disease or pest, and carry out corresponding spraying chemical fertilizer or pesticide.
Further, the ground crawling type tree forest monitoring system further comprises a biological power generation device, when the ground crawling type robot does not perform tree forest monitoring work, the ground crawling type robot cleans dead wood and dead leaves of trees and conveys the dead wood and the dead leaves to the biological power generation device, the dead wood and the dead leaves are processed through fermentation, power generation is performed, and the power generation is supplied to the ground crawling type robot.
Further, when the infrared sensing equipment detects the conditions of invisible hidden fire and the like, the invisible hidden fire is immediately reported to the central monitoring management center, and the central monitoring management center gives an alarm through the alarm center and forest policemen and 119.
Further, the bio-power generation device is provided with unmanned aerial vehicle landing platform and charging station, unmanned aerial vehicle can descend unmanned aerial vehicle landing platform to charge on the spot.
In addition, the invention also comprises an Internet-based forestry monitoring method, which comprises an Internet-based forestry monitoring system, wherein the specific monitoring method comprises the following steps;
step S1, the fixed detection end acquires infrared fire alarm signals including dark fire of the trees through the infrared sensing equipment, and the optical video sensing equipment acquires tree growth videos of the trees;
step S2, when the infrared sensing device monitors that there is a possibility of abnormality, the optical video sensing device further collects the optical video of the corresponding position, so as to combine the optical video and the infrared video to jointly analyze whether there is fire alarm information, and when the fire alarm information is confirmed, the central monitoring management center obtains the corresponding fire alarm information and the fire alarm position information;
step S3, the central monitoring management center searches the unmanned aerial vehicle III and the ground crawling robot near the fire alarm position and sends execution instructions to control the equipment to carry out fire extinguishing operation;
step S4, the central monitoring management center controls the fixed detection end to regularly return optical video images, simultaneously controls a ground crawling type robot and the unmanned aerial vehicle I to cruise regularly according to a specified path, and acquires the optical video images, the central monitoring management center analyzes components of juice according to the acquired images when the colors or the shapes of the leaves of the forest are abnormal so as to judge whether the interior of the tree is damaged by insects, and when the trees are damaged by the insects, the central monitoring management center controls the unmanned aerial vehicle II to spray pesticides to the area of the tree with the insects;
step S5, the central monitoring management center analyzes the soil components in the corresponding area when the color of the tree leaves or the shape of the tree leaves is abnormal or the tree leaves fall off and the tree leaves are not damaged by worms or the like and are obviously absent according to the acquired images, and controls the unmanned aerial vehicle II to spray chemical fertilizer to the area of the tree with diseases when the central monitoring management center detects that the corresponding element content of the soil components is absent;
and step S6, when the ground crawling robot does not monitor the forest, the ground crawling robot cleans the dead wood and the dead leaves of the forest and conveys the cleaned dead wood and the dead leaves to the biological power generation device, the dead wood and the dead leaves are processed through fermentation, and power is generated and supplied to the ground crawling robot.
Further, the unmanned aerial vehicle regularly adopts a cruising mode to automatically carry out fire, insect pest and disease information of the forest on the forestry management area; meanwhile, the central monitoring management center monitors a fire key monitoring area, an insect key monitoring area and a disease key area according to the historical key area, and controls the unmanned aerial vehicle to go to the historical key area for cruising and monitoring.
Further, when the infrared sensing equipment detects the conditions of invisible hidden fire and the like, the invisible hidden fire is immediately reported to the central monitoring management center, and the central monitoring management center gives an alarm through the alarm center and forest policemen and 119.
Compared with the prior art, the invention has the beneficial effects that:
1. by analyzing the juice components of the trees, the method can inquire the pests and diseases in the trees, break through the problem that only the pests on the surfaces of the trees are observed in the prior art, carry out effective pest observation and better protect the trees.
2. The invention better detects the trees by observing the leaves and analyzing the soil and the tree juice, analyzes the insect pest problem or the nutrition problem of the trees, and better aims at solving the tree monitoring.
3. The invention adopts a physical network to form a technology which does not depend on the traditional network, thereby overcoming the problems that the trees are remote and the basic network is poor and is not beneficial to observing the growth and the diseases of the forest in real time, and forming a more reliable and practical network.
4. The forest is comprehensively monitored for fire, insect pests and the like, rather than the traditional monitoring for emergency fire or insect pests.
5. The invention adopts the technology of combining the infrared sensing equipment and the optical video, finds fire alarms in advance by using the infrared sensing equipment, and better determines the position or the position and the position of a hidden fire by combining the optical video so as to better extinguish the fire and find the fire alarms in advance.
Drawings
Fig. 1 is a schematic diagram of the overall system architecture of an internet-based forestry monitoring system according to the present invention;
fig. 2 is a schematic view of a fixed end structure of the internet-based forestry monitoring system of the present invention.
In the figure: 1. a central monitoring management center; 2. a fixed detection end; 3. a mobile detection end; 4. an alarm center; 5. an infrared sensing device; 6. an optical video sensing device; 7. a forest growth condition detection module; 8. and a soil composition analysis module.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, and it should be understood that the embodiments described herein are merely for the purpose of illustrating and explaining the present invention and are not intended to limit the present invention.
Detailed description of the preferred embodiment
As shown in fig. 1-2, an internet-based forestry monitoring system includes a central monitoring management center 1, a fixed detection end 2, a mobile detection end 3 and an alarm center 4; the central monitoring management center 1 is respectively in data communication connection with the fixed detection end 2, the movable detection end 3 and the alarm center 4;
the fixed detection end 1 comprises; the infrared sensing device 5 is arranged on a vertical rod in an open place of a forest or on a tree in the forest; the system comprises an optical video sensing device 6, wherein the optical video sensing device 6 is used for acquiring a tree growth video of a forest; the tree growth condition detection module 7 is arranged on the tree according to a certain rule, and extracts juice of the tree for component analysis; the soil composition analysis module 8 is arranged at a position close to the ground corresponding to the forest growth condition detection module 7, and is used for detecting and analyzing soil and water compositions;
the mobile detection end comprises: the ground crawling robot is provided with a visual sensing module, a navigation module and a communication module, and the communication module is in communication connection with the central monitoring management center, so that the central monitoring management center controls the ground crawling robot to walk and monitor; the visual sensing module acquires a corresponding video image; the navigation module is internally provided with a positioning module and a path planning module, the positioning module is used for acquiring the current position of the ground crawling robot for navigation, and the path planning module plans a path for the ground crawling robot according to the position acquired by the positioning module so as to facilitate navigation;
the unmanned aerial vehicles comprise a first unmanned aerial vehicle carrying infrared sensing equipment and optical video sensing equipment, a second unmanned aerial vehicle carrying pesticide and fertilizer spraying equipment and a third unmanned aerial vehicle carrying fire extinguishing equipment;
the first unmanned aerial vehicle is used for performing cruise under control or automatic cruise according to a control instruction and an automatic adaptive navigation module built in the first unmanned aerial vehicle, and acquiring an infrared image and an optical video image of a forest;
the second unmanned aerial vehicle is used for performing cruise control or automatic cruise control according to the control instruction module and an automatic adaptive navigation module built in the second unmanned aerial vehicle to spray pesticides and fertilizers;
the third unmanned aerial vehicle is used for carrying out automatic cruise or cruise under control according to the control instruction module and an automatic adaptive navigation module built in the third unmanned aerial vehicle, and spraying fire extinguishing agent;
the central monitoring management center acquires monitoring information of the fixed detection end and monitoring information of the movable detection end, the movable detection end forms an internet of things through the fixed detection end, and the movable detection end can communicate with the central monitoring management center by utilizing a transfer signal of the fixed detection end or the movable detection end in operation without depending on a traditional base station network.
Furthermore, the certain rule is implemented by adopting a statistical random sampling method, and is classified into a plurality of sampling speeds according to the monitored tree types planted in the forest, the distribution positions of the planted trees and the growth stages of the trees, and then a certain tree is selected according to a proportion to be arranged in the forest growth condition detection module.
Further, when a suspected fire is detected by the infrared sensing device of the fixed detection end, the optical video sensing device of the fixed detection end further acquires an optical video image so as to further confirm the fire and the specific fire position, so that a fire is found before the fire is found by the optical video, the warning information is sent to the central monitoring management center, and the central monitoring management center acquires the unmanned aerial vehicle three or ground crawling robot closest to the fire position and extinguishes the fire.
Further, central authorities control management center control fixed sense terminal is regular passback optical video image, ground creeping type robot of simultaneous control and unmanned aerial vehicle one cruises regularly according to the regulation route to obtain optical video image, central authorities control management center is according to the image that obtains, when the colour of woods leaf or blade shape appear unusually, the composition of woods growth condition detection module analysis juice to judge whether the inside condition by the insect pest that exists of trees, when the insect pest appears, central authorities control management center control two trees that spray the pesticide to the tree area of insect pest.
Further, central authorities control the management center according to the image that acquires, appears unusually or the leaf drops when the colour of forest leaf or the blade shape, and the leaf does not have by the obvious disappearance such as worm-eaten, the soil property analysis module analysis corresponding regional soil composition, when detecting the corresponding element content of soil composition and lack, central authorities control the control unmanned aerial vehicle two sprays the chemical fertilizer to the trees area that has the disease.
Further, fixed detection end, ground crawling formula robot with unmanned aerial vehicle can both realize communication connection by oneself, forms internet, and by at least one fixed detection end connection tradition internet so that with central monitoring management center carries out communication connection.
Further, central authorities control management center is according to the image that obtains, and the colour or the blade shape of trees leaf appear unusually or the leaf drops, central authorities control management center control ground crawl formula robot goes to corresponding abnormal position, carries on the composition and the soil juice composition of the corresponding unusual trees of trees juice detection module analysis through it to judge whether there is disease or pest, and carry out corresponding spraying chemical fertilizer or pesticide.
Further, the ground crawling type tree forest monitoring system further comprises a biological power generation device, when the ground crawling type robot does not perform tree forest monitoring work, the ground crawling type robot cleans dead wood and dead leaves of trees and conveys the dead wood and the dead leaves to the biological power generation device, the dead wood and the dead leaves are processed through fermentation, power generation is performed, and the power generation is supplied to the ground crawling type robot.
Further, when the infrared sensing equipment detects the conditions of invisible hidden fire and the like, the invisible hidden fire is immediately reported to the central monitoring management center, and the central monitoring management center gives an alarm through the alarm center and forest policemen and 119.
Further, the biological power generation device is provided with unmanned aerial vehicle descending platform and charging station, unmanned aerial vehicle can descend unmanned aerial vehicle descending platform to charge on the spot.
Detailed description of the invention
An Internet-based forestry monitoring method comprises an Internet-based forestry monitoring system, wherein the specific monitoring method comprises the following steps;
step S1, the fixed detection end acquires infrared fire alarm signals including dark fire of the trees through the infrared sensing equipment, and the optical video sensing equipment acquires tree growth videos of the trees;
step S2, when the infrared sensing device monitors that there is a possibility of abnormality, the optical video sensing device further collects the optical video of the corresponding position, so as to combine the optical video and the infrared video to jointly analyze whether there is fire alarm information, and when the fire alarm information is confirmed, the central monitoring management center obtains the corresponding fire alarm information and the fire alarm position information;
step S3, the central monitoring management center searches the unmanned aerial vehicle III and the ground crawling robot near the fire position and sends execution instructions to control the devices to extinguish fire;
step S4, the central monitoring management center controls the fixed detection end to periodically transmit back optical video images, controls the ground crawling type robot and the unmanned aerial vehicle to cruise regularly according to a specified path, and acquires the optical video images, the central monitoring management center analyzes components of juice according to the acquired images when the colors of tree leaves or the shapes of the tree leaves are abnormal, so as to judge whether pest damage exists in the tree, and controls the unmanned aerial vehicle to spray pesticide to a pest tree area when pests occur;
step S5, the central monitoring management center analyzes soil components in corresponding areas when the colors of the tree leaves or the shapes of the tree leaves are abnormal or the tree leaves fall off and the tree leaves are not damaged by worms or the like and are obviously absent according to the acquired images, and controls the unmanned aerial vehicle II to spray chemical fertilizer to the area of the trees with diseases when detecting that the corresponding element content of the soil components is absent;
and step S6, when the ground crawling robot does not monitor the forest, the ground crawling robot cleans the dead wood and the dead leaves of the forest and conveys the cleaned dead wood and the dead leaves to the biological power generation device, the dead wood and the dead leaves are processed through fermentation, and power is generated and supplied to the ground crawling robot.
Further, the unmanned aerial vehicle regularly adopts a cruising mode to automatically carry out fire, insect pest and disease information of the forest on the forestry management area; meanwhile, the central monitoring management center monitors a fire key monitoring area, an insect key monitoring area and a disease key area according to the historical key area, and controls the unmanned aerial vehicle to go to the historical key area for cruising and monitoring.
Further, when the infrared sensing equipment detects the conditions of invisible hidden fire and the like, the invisible hidden fire is immediately reported to the central monitoring management center, and the central monitoring management center gives an alarm through the alarm center and forest policemen and 119.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. An Internet-based forestry monitoring system comprises a fixed detection end, a movable detection end, a central monitoring management center and an alarm center; the central monitoring management center is in data communication connection with the fixed detection end, the movable detection end and the alarm center respectively; the method is characterized in that:
the fixed detection end comprises; the infrared sensing equipment is arranged on a vertical rod in the open place of the forest or on a tree in the forest; the system comprises optical video sensing equipment, a monitoring system and a control system, wherein the optical video sensing equipment is used for acquiring a tree growth video of a forest; the forest growth condition detection module is arranged on the trees according to a certain rule, extracts juice of the trees and performs component analysis; the soil composition analysis module is arranged at a position close to the ground corresponding to the forest growth condition detection module and is used for detecting and analyzing soil and water compositions;
the mobile detection end comprises: the ground crawling robot is provided with a visual sensing module, a navigation module and a communication module, and the communication module is in communication connection with the central monitoring management center, so that the central monitoring management center controls the ground crawling robot to walk and monitor; the visual sensing module acquires a corresponding video image; the navigation module is internally provided with a positioning module and a path planning module, the positioning module is used for acquiring the current position of the ground crawling robot for navigation, and the path planning module plans a path for the ground crawling robot according to the position acquired by the positioning module so as to facilitate navigation;
the unmanned aerial vehicles comprise a first unmanned aerial vehicle carrying infrared sensing equipment and optical video sensing equipment, a second unmanned aerial vehicle carrying pesticide and fertilizer spraying equipment and a third unmanned aerial vehicle carrying fire extinguishing equipment;
the first unmanned aerial vehicle is used for performing cruise under control or automatic cruise according to a control instruction and an automatic adaptive navigation module built in the first unmanned aerial vehicle, and acquiring an infrared image and an optical video image of a forest;
the second unmanned aerial vehicle is used for performing cruise control or automatic cruise control according to the control instruction module and an automatic adaptive navigation module built in the second unmanned aerial vehicle to spray pesticides and fertilizers;
the third unmanned aerial vehicle is used for carrying out automatic cruise or cruise under control according to the control instruction module and an automatic adaptive navigation module built in the third unmanned aerial vehicle, and spraying fire extinguishing agent;
the central monitoring management center acquires monitoring information of a fixed detection end and monitoring information of a movable detection end, an internet of things is formed by the movable detection end and the fixed detection end, and the movable detection end can communicate with the central monitoring management center by using a transfer signal of the fixed detection end or the movable detection end in operation without depending on a traditional base station network;
the utility model discloses a tree, including unmanned aerial vehicle, central monitoring management center, fixed sense terminal, unmanned aerial vehicle, central monitoring management center control fixed sense terminal timing passback optical video image, simultaneous control ground crawl formula robot with unmanned aerial vehicle cruises regularly according to prescribed route to obtain optical video image, central monitoring management center is according to the image that obtains, when the colour of woods leaf or blade shape appear unusually, the composition of woods growth condition detection module analysis juice to judge whether the inside condition by the insect pest that exists of trees, when the insect pest appears, central monitoring management center control two trees areas that spray the pesticide to the pest of unmanned aerial vehicle are.
2. An internet-based forestry monitoring system according to claim 1, wherein: the certain rule is executed by adopting a statistical random sampling method, and is classified into a plurality of sampling blocks according to the monitored tree type planted by the forest, the distribution position of the planted trees and the growth stage of the trees, and then a certain tree is selected according to the proportion to be arranged on the forest growth condition detection module.
3. An internet-based forestry monitoring system according to claim 1 or 2, wherein:
when the infrared sensing equipment of the fixed detection end detects a suspected fire alarm, optical video images are further acquired through the optical video sensing equipment of the fixed detection end so as to further confirm the fire alarm and a specific fire position, therefore, a fire is found before the fire alarm is found through optical videos, alarm information is sent to the central monitoring management center, and the central monitoring management center acquires the unmanned aerial vehicle three or ground crawling robots with the nearest fire position so as to extinguish a fire.
4. An internet-based forestry monitoring system according to claim 1, wherein: the image that central authorities monitored the management center and according to acquireing, appears unusually or the leaf drops when the colour of forest leaf or the blade shape, and the leaf does not have by the worm when obviously lacking, the soil composition in the corresponding region of soil composition analysis module analysis, when detecting the corresponding element content of soil composition and lack, central authorities monitor the management center control two unmanned aerial vehicle spray the chemical fertilizer to the trees region that has the disease.
5. An internet-based forestry monitoring system according to claim 1, wherein: fixed sense terminal ground crawl formula robot with unmanned aerial vehicle can both realize communication connection by oneself, forms internet, and by at least one fixed sense terminal connection tradition internet so that with central monitoring management center carries out communication connection.
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| CN113721654B (en) * | 2021-08-26 | 2024-02-02 | 程龙华 | Monitoring communication method and system |
| CN114460979A (en) * | 2022-02-10 | 2022-05-10 | 付爱华 | Multi-stage regulation type micropump flow control system |
| CN114926949A (en) * | 2022-06-02 | 2022-08-19 | 山西省桑干河杨树丰产林实验局云西林场 | Forestry information sharing cloud platform and monitoring service system |
| CN116824200A (en) * | 2022-11-24 | 2023-09-29 | 武汉很多鱼钓具有限公司 | Forestry pest intelligent identification detection method based on target detection technology |
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