CN114935369A - Intelligent recognition forest ecological monitoring system and method - Google Patents
Intelligent recognition forest ecological monitoring system and method Download PDFInfo
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Abstract
The invention discloses an intelligent recognition forest ecological monitoring system and a method thereof, wherein the intelligent recognition forest ecological monitoring system comprises a forest ecological intelligent recognition analysis system, a forest monitoring unit, a data centralized management terminal, a satellite monitoring unit, an unmanned aerial vehicle patrol unit, an anomaly detection unit, a problem position positioning unit, a monitoring position confirmation unit, an alarm notification unit, a sensitive area establishment unit and a forest ecological monitoring sharing unit, wherein the output end of the forest ecological intelligent recognition analysis system is electrically connected with the input end of the data centralized management terminal, and the intelligent recognition forest ecological monitoring system has the beneficial effects that: through having added the ecological intelligent recognition analytic system of forest, realized that various sensors carry out real-time supervision to the condition in the forest and handle, improved monitoring efficiency, through having added unmanned aerial vehicle inspection unit, realized utilizing unmanned aerial vehicle to carry out self-service inspection to the forest ecology and handle, report the processing to unusual condition.
Description
Technical Field
The invention relates to the technical field of forest ecological monitoring, in particular to an intelligent recognition forest ecological monitoring system and method.
Background
The forest is a biological community taking woody plants as a main body, is interdependent and interdependent between concentrated arbors and other plants, animals, microorganisms and soil, and is influenced with the environment, so that the formed overall ecological system needs to monitor the ecology of the forest at present, the damage and reduction of the forest are prevented, but the existing forest ecological monitoring efficiency is low, the forest monitoring aspect is not comprehensive enough, and the monitoring stability for causing the forest damage is poor.
Disclosure of Invention
The invention aims to provide an intelligent recognition forest ecology monitoring system and method, and aims to solve the problems that the existing forest ecology monitoring system in the background technology is low in efficiency, not comprehensive in forest monitoring aspect and poor in monitoring stability of forest damage.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent forest ecological monitoring system comprises a forest ecological intelligent identification and analysis system, a forest monitoring unit, a data centralized management terminal, a satellite monitoring unit, an unmanned aerial vehicle patrol unit, an abnormality detection unit, a problem position positioning unit, a monitoring position confirmation unit, an alarm notification unit, a sensitive area establishment unit and a forest ecological monitoring sharing unit, wherein the output end of the forest ecological intelligent identification and analysis system is electrically connected with the input end of the data centralized management terminal, the output end of the forest monitoring unit is electrically connected with the input end of the data centralized management terminal, the output end of the data centralized management terminal is respectively electrically connected with the input end of the satellite monitoring unit and the input end of the unmanned aerial vehicle patrol unit, the unmanned aerial vehicle patrol unit is bidirectionally connected with the abnormality detection unit, and the output end of the satellite monitoring unit and the output end of the unmanned aerial vehicle patrol unit are both electrically connected with the input end of the problem position positioning unit, the output end of the problem position positioning unit is electrically connected with the input end of the monitoring position confirmation unit, the output end of the monitoring position confirmation unit is electrically connected with the input end of the alarm notification unit, the monitoring position confirmation unit is bidirectionally connected with the sensitive area establishment unit, and the sensitive area establishment unit is bidirectionally connected with the forest ecological monitoring sharing unit;
the intelligent forest ecological identification and analysis system is used for identifying, recording and processing various forest ecological numerical values;
the forest monitoring unit is used for monitoring and processing the felling of trees in real time;
the data centralized management terminal is used for performing centralized storage on the identified forest ecological data and managing and processing the data;
the satellite monitoring unit is used for recording and processing comprehensive images of the forest ecology by a satellite;
the unmanned aerial vehicle inspection unit is used for automatically inspecting the forest by using an unmanned aerial vehicle;
the abnormality detection unit is used for identifying and processing natural disasters suffered by forest ecological destruction;
the problem position positioning unit is used for acquiring the position of the forest when the forest ecology is destroyed and positioning the forest;
the monitoring position confirmation unit is used for combining the acquired data, taking out a position intermediate value and accurately acquiring and processing the position data;
the alarm notification unit is used for alarming when the forest ecology has problems and notifying a management end;
the sensitive area establishing unit is used for recording the geographical position where the ecological problems are detected for multiple times and judging and processing the recorded position in the sensitive area;
the forest ecological monitoring and sharing unit is used for carrying out centralized recording on the monitored forest ecological data and carrying out sharing processing on the data.
As a preferred embodiment of the present invention: the forest ecological intelligent recognition analysis system comprises a recognition monitoring unit and a basic monitoring unit, wherein the recognition monitoring unit is in bidirectional connection with the basic monitoring unit;
the recognition monitoring unit is used for monitoring forest temperature and humidity, oxygen concentration and land humidity;
the basic monitoring unit is used for monitoring and processing the concentration of forest smoke, air dust, wind speed and rainfall;
the identification monitoring unit comprises a smoke concentration sensor, a particle sensor, a wind speed measuring module and a rain sensor;
the smoke concentration sensor is used for monitoring the concentration of smoke generated in a forest;
the particle sensor is used for monitoring and processing fine particles in forest air;
the wind speed measuring module is used for monitoring and processing wind speed generated in a forest;
the rainfall sensor is used for monitoring and processing the rainfall of the forest when the forest rains.
As a preferred embodiment of the present invention: the basic monitoring unit comprises a temperature sensor, an oxygen concentration sensor, a land humidity sensor and an air humidity sensor;
the temperature sensor is used for monitoring the temperature in the forest;
the oxygen concentration sensor is used for monitoring the oxygen concentration in the forest;
the soil humidity sensor is used for monitoring and processing the water content of the soil in the forest;
the air humidity sensor is used for monitoring and processing the humidity of air in the forest.
As a preferred embodiment of the present invention: the forest monitoring unit comprises an optical fiber sensing module and a tree felling identification module, and the output end of the optical fiber sensing module is electrically connected with the input end of the tree felling identification module;
the optical fiber sensing module is used for detecting and processing displacement, vibration and bending of trees in the forest in real time;
the tree felling recognition module is used for recognizing felling according to the recognition data of tree displacement, vibration and bending, which are acquired by the optical fiber sensing module.
As a preferred embodiment of the present invention: the satellite monitoring unit comprises a forest ecological satellite image acquisition module, an image interval recording module and an image self-comparison module, wherein the output end of the forest ecological satellite image acquisition module is electrically connected with the input end of the image interval recording module, and the output end of the image interval recording module is electrically connected with the input end of the image self-comparison module;
the forest ecological satellite image acquisition module is used for acquiring and processing a plane image of a forest through a satellite;
the image interval recording module is used for recording and processing images of the forest within the approved time through a satellite;
the image self-comparison module is used for comparing the recorded forest images and observing the change of forest ecology through the images.
As a preferred embodiment of the present invention: the unmanned aerial vehicle inspection unit comprises a thermal imaging detection module, an unmanned aerial vehicle cruise setting module and an abnormal monitoring report module, the thermal imaging detection module is bidirectionally connected with the unmanned aerial vehicle cruise setting module, and the output end of the unmanned aerial vehicle cruise setting module is electrically connected with the input end of the abnormal monitoring report module;
the thermal imaging detection module is used for performing fire detection processing by using thermal imaging during patrol of the unmanned aerial vehicle;
the unmanned aerial vehicle cruise setting module is used for setting and processing the route and time for autonomous cruising of the unmanned aerial vehicle;
the monitoring abnormity reporting module is used for reporting and processing the thermal imaging abnormity found by the unmanned aerial vehicle cruising.
As a preferable scheme of the invention: the abnormality detection unit comprises a tree missing position positioning module, a debris flow detection module, a flood detection module and a hill collapse detection module;
the tree missing position positioning module is used for positioning, recording and processing a tree missing area in a forest;
the debris flow detection module is used for detecting and positioning the position of debris flow in the forest;
the flood detection module is used for recording and processing flood conditions in a water area in a forest;
the collapse detection module is used for recording and processing the surrounding chair-shaped erosion landform formed by collapse and collapse in the forest.
As a preferred embodiment of the present invention: the sensitive area establishing unit comprises a monitoring problem recording module, a problem frequency threshold value setting module and a sensitive area confirming module, wherein the output end of the monitoring problem recording module is electrically connected with the input end of the problem frequency threshold value setting module, and the output end of the problem frequency threshold value setting module is electrically connected with the input end of the sensitive area confirming module;
the monitoring problem recording module is used for recording and processing the problems found in the region after the monitoring position is confirmed;
the problem frequency threshold value setting module is used for setting and processing a frequency judgment threshold value for generating ecological problems in the monitored position;
and the sensitive area confirmation module is used for confirming the sensitive area of the monitored position through the judgment threshold value.
As a preferred embodiment of the present invention: the forest ecology monitoring and sharing unit comprises a sharing server end and a local area network verification module, and the sharing server end is in bidirectional connection with the local area network verification module;
the sharing server side is used for carrying out centralized recording on the acquired forest ecological image data and carrying out sharing processing;
the local area network verification module is used for performing management after a local area network is accessed after a key is required to be input for verification when checking and managing the shared server.
An intelligent recognition forest ecology monitoring method is characterized by comprising the following steps:
s1, acquiring and processing various groups of data in the forest through a smoke concentration sensor, a particle sensor, a wind speed measuring module, a rainfall sensor, a temperature sensor, an oxygen concentration sensor, a land humidity sensor and an air humidity sensor, monitoring and processing the ecology in real time, and monitoring and processing the displacement, vibration and bending of the forest trees in real time through an optical fiber sensing module;
s2, shooting the forest ecological image through a satellite, setting a check time for shooting once, and comparing the shot image to obtain a position image of forest change;
s3, setting the autonomous cruising time and the autonomous cruising route of the unmanned aerial vehicle, shooting by the unmanned aerial vehicle, and detecting and reporting the position of the forest where the fire occurs through a thermal imaging detection module;
s4, recording the positions where trees are lost by the unmanned aerial vehicle, and positioning, recording and processing the positions where debris flow, flood and hillock happen;
and S5, positioning the position with the problem and alarming, recording the times of the problem at the same position, and judging the position exceeding the time threshold as a sensitive area and recording.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, by adding the intelligent forest ecological identification and analysis system, real-time monitoring and processing of the conditions in the forest by various sensors are realized, the monitoring efficiency is improved, by adding the unmanned aerial vehicle patrol unit, self-service patrol processing of the forest ecology by the unmanned aerial vehicle is realized, report processing of abnormal conditions is realized, and by adding the sensitive area establishment unit, recording processing of the position of an area with ecological problems is realized, targeted monitoring processing is performed, and the monitoring stability is improved.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an intelligent forest ecological monitoring system comprises a forest ecological intelligent identification and analysis system, a forest monitoring unit, a data centralized management terminal, a satellite monitoring unit, an unmanned aerial vehicle patrol unit, an abnormality detection unit, a problem position positioning unit, a monitoring position confirmation unit, an alarm notification unit, a sensitive area establishment unit and a forest ecological monitoring sharing unit, wherein the output end of the forest ecological intelligent identification and analysis system is electrically connected with the input end of the data centralized management terminal, the output end of the forest monitoring unit is electrically connected with the input end of the data centralized management terminal, the output end of the data centralized management terminal is respectively electrically connected with the input end of the satellite monitoring unit and the input end of the unmanned aerial vehicle patrol unit, the unmanned aerial vehicle patrol unit is bidirectionally connected with the abnormality detection unit, and the output end of the satellite monitoring unit and the output end of the unmanned aerial vehicle patrol unit are both electrically connected with the input end of the problem position positioning unit, the output end of the problem position positioning unit is electrically connected with the input end of the monitoring position confirmation unit, the output end of the monitoring position confirmation unit is electrically connected with the input end of the alarm notification unit, the monitoring position confirmation unit is bidirectionally connected with the sensitive area setting unit, and the sensitive area setting unit is bidirectionally connected with the forest ecological monitoring sharing unit;
the intelligent forest ecological identification and analysis system is used for identifying, recording and processing various forest ecological numerical values;
the forest monitoring unit is used for monitoring and processing the felling of trees in real time and monitoring and processing the disordered felling of forests, so that the safety of forest ecological monitoring is improved;
the data centralized management terminal is used for performing centralized storage on the identified forest ecological data and managing and processing the data, and the data enters the data centralized management terminal in a centralized manner to perform centralized management, so that the working efficiency is improved;
the satellite monitoring unit is used for recording and processing comprehensive images of the forest ecology by a satellite;
the unmanned aerial vehicle inspection unit is used for automatically inspecting the forest by using an unmanned aerial vehicle;
the abnormality detection unit is used for identifying and processing natural disasters suffered by forest ecological destruction;
the problem position positioning unit is used for acquiring the position of the forest when the forest ecology is destroyed and positioning the forest;
the monitoring position confirmation unit is used for combining the acquired data, taking out a position intermediate value and accurately acquiring and processing the position data;
the alarm notification unit is used for giving an alarm when the forest ecology has problems and notifying the management terminal, so that the safety and the problem processing efficiency are improved;
the sensitive area establishing unit is used for recording the geographical position where the ecological problems are detected for a plurality of times and judging and processing the recorded position of the sensitive area, judging the position of the area where the problems frequently occur as the sensitive area, managing the known sensitive area and improving and processing the problems, and improving the processing efficiency;
the forest ecological monitoring sharing unit is used for recording monitored forest ecological data in a centralized mode, sharing the data, recording the data and sharing the data, and therefore data management efficiency is improved.
The forest ecological intelligent recognition analysis system comprises a recognition monitoring unit and a basic monitoring unit, wherein the recognition monitoring unit is in bidirectional connection with the basic monitoring unit;
the recognition monitoring unit is used for monitoring and processing forest temperature and humidity, oxygen concentration and land humidity;
the basic monitoring unit is used for monitoring and processing the forest smoke concentration, air dust, wind speed and rainfall;
the identification monitoring unit comprises a smoke concentration sensor, a particle sensor, a wind speed measuring module and a rainfall sensor;
the smoke concentration sensor is used for monitoring the concentration of smoke generated in a forest;
the particle sensor is used for monitoring and processing fine particles in forest air;
the wind speed measuring module is used for monitoring and processing wind speed generated in a forest;
the rainfall sensor is used for monitoring and processing the rainfall of the forest when the forest rains.
The basic monitoring unit comprises a temperature sensor, an oxygen concentration sensor, a land humidity sensor and an air humidity sensor;
the temperature sensor is used for monitoring the temperature in the forest;
the oxygen concentration sensor is used for monitoring the oxygen concentration in the forest;
the land humidity sensor is used for monitoring and processing the water content of the land in the forest;
the air humidity sensor is used for monitoring the humidity of air in a forest, and acquiring and processing various data in the forest through the fog concentration sensor, the particle sensor, the wind speed measuring module, the rainfall sensor, the temperature sensor, the oxygen concentration sensor, the land humidity sensor and the air humidity sensor, and detecting and processing abnormal data.
The forest monitoring unit comprises an optical fiber sensing module and a tree felling identification module, wherein the output end of the optical fiber sensing module is electrically connected with the input end of the tree felling identification module;
the optical fiber sensing module is used for detecting and processing displacement, vibration and bending of trees in the forest in real time;
the tree felling recognition module is used for recognizing felling according to tree displacement, vibration and bending recognition data acquired by the optical fiber sensing module, and real-time monitoring processing is carried out on displacement, vibration and bending of trees in the forest through the optical fiber sensing module, so that whether the trees in the forest are felled through the tree felling recognition module is judged and processed.
The satellite monitoring unit comprises a forest ecological satellite image acquisition module, an image interval recording module and an image self-comparison module, wherein the output end of the forest ecological satellite image acquisition module is electrically connected with the input end of the image interval recording module, and the output end of the image interval recording module is electrically connected with the input end of the image self-comparison module;
the forest ecological satellite image acquisition module is used for acquiring and processing a plane image of a forest through a satellite;
the image interval recording module is used for recording and processing images of the forest within the approved time through the set satellite;
the image self-contrast module is used for comparing recorded forest images, observing forest ecological changes through images, acquiring the forest images through a forest ecological satellite image acquisition module of the satellite monitoring unit, setting and processing the image acquisition frequency through an administrator, performing contrast processing on the shot images, recording different image positions, positioning existing problems and improving monitoring efficiency.
The unmanned aerial vehicle patrol unit comprises a thermal imaging detection module, an unmanned aerial vehicle cruise setting module and a monitoring abnormity reporting module, wherein the thermal imaging detection module is bidirectionally connected with the unmanned aerial vehicle cruise setting module, and the output end of the unmanned aerial vehicle cruise setting module is electrically connected with the input end of the monitoring abnormity reporting module;
the thermal imaging detection module is used for performing fire detection processing by using thermal imaging during patrol of the unmanned aerial vehicle;
the unmanned aerial vehicle cruise setting module is used for setting and processing the route and time for autonomous cruising of the unmanned aerial vehicle;
monitoring unusual report module is used for discovering that the unusual department of thermal imaging reports at unmanned aerial vehicle cruise and handles, unmanned aerial vehicle inspection unit carries out autonomic inspection to unmanned aerial vehicle and handles, set up the time and the place that unmanned aerial vehicle cruise to set up the module and cruise to unmanned aerial vehicle, unmanned aerial vehicle carries out the automation and patrols and examines the processing, detect thermal imaging image through thermal imaging detection module during the monitoring and handle, detect when judging the conflagration appears in the forest, and monitor unusual report processing, the security has been improved.
The abnormal detection unit comprises a tree missing position positioning module, a debris flow detection module, a flood detection module and a hill collapse detection module;
the tree missing position positioning module is used for positioning, recording and processing a tree missing area in a forest;
the debris flow detection module is used for detecting and positioning the position of debris flow in the forest;
the flood detection module is used for recording and processing flood conditions in a water area in a forest;
the collapse sentry detection module is used for collapsing and caving in the forest and forming surrounding chair-shaped erosion landforms to carry out recording processing, the position locating module of trees disappearance position, debris flow detection module, flood detection module and collapse sentry detection module, carry out positioning processing to the trees position of disappearance in the forest, detect the position locating processing to the position that takes place the debris flow, record the processing to the condition that flood appears in the forest water territory, collapse and cave in the forest and form surrounding chair-shaped erosion landforms to carry out recording processing, position the processing with the position that goes wrong, and the work efficiency is improved.
The sensitive area establishing unit comprises a monitoring problem recording module, a problem frequency threshold value setting module and a sensitive area confirming module, wherein the output end of the monitoring problem recording module is electrically connected with the input end of the problem frequency threshold value setting module, and the output end of the problem frequency threshold value setting module is electrically connected with the input end of the sensitive area confirming module;
the monitoring problem recording module is used for recording and processing the problems found in the region after the monitoring position is confirmed;
the problem frequency threshold value setting module is used for setting and processing a frequency judgment threshold value for generating ecological problems at the monitored position;
the sensitive area confirmation module is used for confirming the sensitive area of the monitored position through the judgment threshold value, judging the sensitive area through the area of the position of the same position, and determining the sensitive area if the position of the same position exceeds the preset threshold value.
The forest ecology monitoring and sharing unit comprises a sharing server end and a local area network verification module, wherein the sharing server end is in bidirectional connection with the local area network verification module;
the sharing server side is used for carrying out centralized recording on the acquired forest ecological image data and carrying out sharing processing;
the local area network verification module is used for performing management after a local area network is accessed after a key needs to be input for verification when checking and managing the shared server.
An intelligent recognition forest ecology monitoring method comprises the following steps:
s1, acquiring and processing various groups of data in the forest through a smoke concentration sensor, a particle sensor, a wind speed measuring module, a rainfall sensor, a temperature sensor, an oxygen concentration sensor, a land humidity sensor and an air humidity sensor, monitoring and processing the ecology in real time, monitoring and processing the displacement, vibration and bending of forest trees in real time through an optical fiber sensing module, monitoring various data in the forest ecology, and improving the monitoring efficiency and stability;
s2, shooting the forest ecological image through a satellite, setting a check time for shooting once, and comparing the shot image to obtain a position image of forest change;
s3, setting the autonomous cruising time and route of the unmanned aerial vehicle, shooting by the unmanned aerial vehicle, detecting and reporting positions of the forest where fire occurs through a thermal imaging detection module, and identifying and processing trees in the forest when the fire occurs, so that the fire monitoring efficiency is improved;
s4, recording the positions of the trees lost by the unmanned aerial vehicle, positioning, recording and processing the positions of debris flow, flood and hillock, identifying and informing forest ecological problems, and solving the ecological problems;
and S5, positioning the position with the problem and alarming, recording the times of the problem at the same position, judging the position exceeding the time threshold as a sensitive area and recording, and performing special observation processing after judging the area as the sensitive area to prevent the problem from occurring again.
Specifically, when the forest monitoring system is used, various groups of data in a forest are acquired and processed through the fog concentration sensor, the particle sensor, the wind speed measuring module, the rainfall sensor, the temperature sensor, the oxygen concentration sensor, the land humidity sensor and the air humidity sensor, detection processing is carried out when abnormal data occur, displacement, vibration and bending of trees in the forest are monitored and processed in real time through the optical fiber sensing module, whether the trees in the forest are cut down or not is judged and processed through the tree cutting identification module, data enter the data centralized management terminal for centralized management in a centralized manner, a forest ecological satellite image acquisition module of the satellite monitoring unit is used for satellite acquisition of forest images, the frequency of image acquisition is set and processed through a manager, shot images are compared and processed to find different image positions for recording processing, positioning existing problems, carrying out autonomous patrol processing on an unmanned aerial vehicle through an unmanned aerial vehicle patrol unit, setting the time and the place for cruising the unmanned aerial vehicle through an unmanned aerial vehicle cruise setting module, carrying out automatic patrol processing on the unmanned aerial vehicle, detecting thermal imaging images through a thermal imaging detection module during monitoring, detecting when fire occurs in the forest, carrying out monitoring abnormity report processing, positioning the positions of trees missing in the forest through a tree missing position positioning module, a debris flow detection module, a flood detection module and a collapse detection module, carrying out detection positioning processing on the positions where debris flows occur, recording the condition of flood occurring in a water area in the forest, recording and processing the collapse and collapse in the forest to form a surrounding chair-shaped erosion landform, and positioning the positions where problems occur, and judging and processing the sensitive area through the area of the position where the same position appears, wherein the area exceeding the preset threshold value is the sensitive area.
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 (10)
1. The utility model provides an intelligent recognition's forest ecological monitoring system, its characterized in that, establish unit and forest ecological monitoring sharing unit including forest ecological intelligent recognition analytic system, forest monitoring unit, data centralized management terminal, satellite monitoring unit, unmanned aerial vehicle inspection unit, abnormal detection unit, problem position positioning unit, monitoring position affirmation unit, alarm notice unit, sensitive area, forest ecological recognition analytic system's the output and the input electric connection at data centralized management terminal, forest monitoring unit's the output and the input electric connection at data centralized management terminal, data centralized management terminal's the output respectively with satellite monitoring unit's the input and unmanned aerial vehicle inspection unit's input electric connection, unmanned aerial vehicle inspection unit and abnormal detection unit both way junction, satellite monitoring unit's the output and unmanned aerial vehicle inspection unit's the output all with problem position positioning unit's defeated input electric connection of problem position positioning unit The system comprises a fault location unit, a fault location confirming unit, a sensitive area establishing unit, a forest ecological monitoring sharing unit, a fault location positioning unit, an alarm notifying unit, a sensitive area establishing unit and a forest ecological monitoring sharing unit, wherein the fault location positioning unit is electrically connected with the forest ecological monitoring sharing unit;
the intelligent forest ecological recognition and analysis system is used for recognizing, recording and processing various forest ecological numerical values;
the forest monitoring unit is used for monitoring and processing the felling of trees in real time;
the data centralized management terminal is used for performing centralized storage on the identified forest ecological data and managing and processing the data;
the satellite monitoring unit is used for recording and processing comprehensive images of the forest ecology by a satellite;
the unmanned aerial vehicle inspection unit is used for automatically inspecting the forest by using an unmanned aerial vehicle;
the abnormality detection unit is used for identifying and processing natural disasters suffered by forest ecological destruction;
the problem position positioning unit is used for acquiring the position of the forest during ecological destruction and positioning the forest;
the monitoring position confirmation unit is used for combining the acquired data, taking out a position intermediate value and accurately acquiring and processing the position data;
the alarm notification unit is used for alarming when forest ecology has problems and notifying a management end;
the sensitive area establishing unit is used for recording the geographical position where the ecological problems are detected for multiple times and judging and processing the recorded position in the sensitive area;
the forest ecological monitoring and sharing unit is used for carrying out centralized recording on the monitored forest ecological data and carrying out sharing processing on the data.
2. An intelligent recognition forest ecological monitoring system as claimed in claim 1, wherein: the forest ecological intelligent recognition analysis system comprises a recognition monitoring unit and a basic monitoring unit, wherein the recognition monitoring unit is in bidirectional connection with the basic monitoring unit;
the recognition monitoring unit is used for monitoring and processing forest temperature and humidity, oxygen concentration and land humidity;
the basic monitoring unit is used for monitoring and processing the concentration of forest smoke, air dust, wind speed and rainfall;
the identification monitoring unit comprises a smoke concentration sensor, a particle sensor, a wind speed measuring module and a rain sensor;
the smoke concentration sensor is used for monitoring the concentration of smoke generated in a forest;
the particle sensor is used for monitoring and processing fine particles in forest air;
the wind speed measuring module is used for monitoring and processing wind speed generated in a forest;
the rainfall sensor is used for monitoring and processing the rainfall of the forest when the forest rains.
3. An intelligent recognition forest ecological monitoring system as claimed in claim 2, wherein: the basic monitoring unit comprises a temperature sensor, an oxygen concentration sensor, a land humidity sensor and an air humidity sensor;
the temperature sensor is used for monitoring the temperature in the forest;
the oxygen concentration sensor is used for monitoring the oxygen concentration in the forest;
the soil humidity sensor is used for monitoring and processing the water content of the soil in the forest;
the air humidity sensor is used for monitoring and processing the humidity of air in the forest.
4. An intelligent recognition forest ecological monitoring system as claimed in claim 3, wherein: the forest monitoring unit comprises an optical fiber sensing module and a tree felling identification module, and the output end of the optical fiber sensing module is electrically connected with the input end of the tree felling identification module;
the optical fiber sensing module is used for detecting and processing displacement, vibration and bending of trees in the forest in real time;
the tree felling recognition module is used for recognizing felling according to tree displacement, vibration and bending recognition data acquired by the optical fiber sensing module.
5. An intelligent recognition forest ecological monitoring system as claimed in claim 4, wherein: the satellite monitoring unit comprises a forest ecological satellite image acquisition module, an image interval recording module and an image self-comparison module, wherein the output end of the forest ecological satellite image acquisition module is electrically connected with the input end of the image interval recording module, and the output end of the image interval recording module is electrically connected with the input end of the image self-comparison module;
the forest ecological satellite image acquisition module is used for acquiring and processing a plane image of a forest through a satellite;
the image interval recording module is used for recording and processing images of the forest within the approved time through a satellite;
the image self-comparison module is used for comparing the recorded forest images and observing the change of forest ecology through the images.
6. An intelligent recognition forest ecological monitoring system as claimed in claim 5, wherein: the unmanned aerial vehicle inspection unit comprises a thermal imaging detection module, an unmanned aerial vehicle cruise setting module and an abnormal monitoring report module, the thermal imaging detection module is bidirectionally connected with the unmanned aerial vehicle cruise setting module, and the output end of the unmanned aerial vehicle cruise setting module is electrically connected with the input end of the abnormal monitoring report module;
the thermal imaging detection module is used for performing fire detection processing by using thermal imaging during patrol of the unmanned aerial vehicle;
the unmanned aerial vehicle cruise setting module is used for setting and processing the route and time for autonomous cruising of the unmanned aerial vehicle;
the monitoring abnormity reporting module is used for reporting and processing the thermal imaging abnormity found by the unmanned aerial vehicle cruising.
7. An intelligent recognition forest ecological monitoring system as claimed in claim 6, wherein: the abnormality detection unit comprises a tree missing position positioning module, a debris flow detection module, a flood detection module and a hill collapse detection module;
the tree missing position positioning module is used for positioning, recording and processing a tree missing area in a forest;
the debris flow detection module is used for detecting and positioning the position of debris flow in the forest;
the flood detection module is used for recording and processing flood conditions in a water area in a forest;
the collapse detection module is used for recording and processing the surrounding chair-shaped erosion landform formed by collapse and collapse in the forest.
8. An intelligent recognition forest ecological monitoring system as claimed in claim 7, wherein: the sensitive area establishing unit comprises a monitoring problem recording module, a problem frequency threshold value setting module and a sensitive area confirming module, wherein the output end of the monitoring problem recording module is electrically connected with the input end of the problem frequency threshold value setting module, and the output end of the problem frequency threshold value setting module is electrically connected with the input end of the sensitive area confirming module;
the monitoring problem recording module is used for recording and processing the problems found in the region after the monitoring position is confirmed;
the problem frequency threshold value setting module is used for setting and processing a frequency judgment threshold value for generating ecological problems in the monitored position;
and the sensitive area confirmation module is used for confirming the sensitive area of the monitored position through the judgment threshold value.
9. An intelligent recognition forest ecological monitoring system as claimed in claim 8, wherein: the forest ecology monitoring and sharing unit comprises a sharing server end and a local area network verification module, and the sharing server end is in bidirectional connection with the local area network verification module;
the sharing server side is used for carrying out centralized recording on the acquired forest ecological image data and carrying out sharing processing;
the local area network verification module is used for performing management after a local area network is accessed after a key is required to be input for verification when checking and managing the shared server.
10. An intelligent recognition forest ecology monitoring method is characterized by comprising the following steps:
s1, acquiring and processing various groups of data in the forest through a smoke concentration sensor, a particle sensor, a wind speed measuring module, a rainfall sensor, a temperature sensor, an oxygen concentration sensor, a land humidity sensor and an air humidity sensor, monitoring and processing the ecology in real time, and monitoring and processing the displacement, vibration and bending of the forest trees in real time through an optical fiber sensing module;
s2, shooting the forest ecological image through a satellite, setting a check time for shooting once, and comparing the shot image to obtain a position image of forest change;
s3, setting the autonomous cruising time and the autonomous cruising route of the unmanned aerial vehicle, shooting by the unmanned aerial vehicle, and detecting and reporting the position of the forest where the fire occurs through a thermal imaging detection module;
s4, recording the positions where trees are lost by the unmanned aerial vehicle, and positioning, recording and processing the positions where debris flow, flood and hillock happen;
and S5, positioning the position with the problem and alarming, recording the times of the problem at the same position, and judging the position exceeding the time threshold as a sensitive area and recording.
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