Forest resource intelligent monitoring and early warning system based on artificial intelligence

Abstract

The invention relates to the technical field of forest monitoring, in particular to a forest resource intelligent monitoring and early warning system based on artificial intelligence, which comprises an artificial intelligence module, a data acquisition module, an environment judgment module, a data processing module and an early warning module, the data acquisition module, the environment judgment module, the data processing module and the early warning module are all connected with the artificial intelligence module; the artificial intelligence module is used for analyzing and processing the forest resource data by relying on artificial intelligence; the data acquisition module is used for collecting and recording environmental danger information of forest resources; the environment judgment module is used for analyzing and judging a danger coefficient according to the topographic information; and the data processing module can be used for analyzing and judging by combining data of weather, temperature, humidity, shot pictures and animal behaviors of the forest to obtain the possibility of a fire disaster and carrying out early warning, so that timely processing can be carried out before the fire disaster occurs, and the damage of the fire disaster to the forest can be reduced to the greatest extent.

Description

Technical Field

[0001] The present invention relates to the technical field of forest monitoring, and in particular to an intelligent monitoring and early warning system for forest resources based on artificial intelligence. Background Art

[0002] Forests play an important role in the ecological environment. Forests are mainly composed of grasses and trees. They are rich in plant species and animals, forming a complete ecosystem that balances the earth's ecology. Therefore, the protection of forest resources cannot be ignored. The current traditional method is to recruit forest rangers to patrol the forests, which is inefficient. In addition, there are various unknown dangers in the forests, and forest rangers are also vulnerable to harm.

[0003] In the existing technology, cameras are installed in the forest and the shooting information is transmitted to the host computer so that the staff can observe remotely. When a fire occurs, an early warning will be issued, and tourists in the forest will be reminded to leave as soon as possible through a loudspeaker, and fire fighting and disaster relief will be notified to reduce losses.

[0004] However, in the aforementioned prior art, warning information can only be issued when a fire occurs. Even if a fire warning is issued, the fire has already caused damage to the forest. Therefore, it is impossible to analyze the impending fire based on the forest environment, making it impossible for staff to prevent forest fires. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent monitoring and early warning system for forest resources based on artificial intelligence, which solves the problem in the prior art that early warning information can only be issued when a fire occurs. Even if a fire warning is issued, the fire has already caused damage to the forest. Therefore, it is impossible to analyze the impending fire based on the forest environment, making it impossible for staff to prevent forest fires.

[0006] To achieve the above-mentioned purpose, the present invention provides a forest resource intelligent monitoring and early warning system based on artificial intelligence, comprising an artificial intelligence module, a data acquisition module, an environment judgment module, a data processing module and an early warning module, wherein the data acquisition module, the environment judgment module, the data processing module, the early warning module and the artificial intelligence module are connected in sequence;

[0007] The artificial intelligence module is used to analyze and process forest resource data by relying on artificial intelligence;

[0008] The data collection module is used to collect and record environmental hazard information of forest resources;

[0009] The environmental judgment module is used to analyze and judge the risk factor according to the terrain information;

[0010] The data processing module is used to collect all collected data and analyze and process them, and send the obtained dangerous values ​​to the early warning module;

[0011] The warning module is used to receive the danger value and issue a warning after exceeding the threshold.

[0012] Wherein, the artificial intelligence module includes an artificial intelligence processing platform, a data server and a GPS locator, and the artificial intelligence processing platform, the data server and the GPS locator are connected in sequence;

[0013] The artificial intelligence processing platform is used to perform intelligent monitoring of forest resources based on artificial intelligence, and the staff can control each module by operating the artificial intelligence processing platform;

[0014] The data server is used to collect forest resource information and record and store it;

[0015] The GPS locator is used to locate and monitor an area with the highest risk factor after artificial intelligence analysis, and to help fire-fighting equipment reach the dangerous area for processing.

[0016] Wherein, the data acquisition module comprises a network camera, a smoke detector, an infrared temperature scanner, a weather monitoring unit and an ultraviolet monitoring unit, and the network camera, the smoke detector, the infrared temperature scanner, the weather monitoring unit and the ultraviolet monitoring unit are connected in sequence;

[0017] The network camera is used to shoot and monitor forest resources, and transmit the information to the artificial intelligence processing platform through the network for observation by staff. At the same time, the artificial intelligence performs intelligent analysis based on the shooting information;

[0018] The smoke detector is used to detect smoke in a forest environment;

[0019] The infrared temperature scanner is used to detect the temperature of the forest environment;

[0020] The weather monitoring unit is used to synchronize the local weather forecast after networking, and to conduct on-site survey and monitoring to analyze whether it is raining;

[0021] The ultraviolet monitoring unit is used to monitor the ultraviolet intensity of the forest.

[0022] Wherein, the environment judgment module includes a terrain scanning unit, a tree height scanning unit and a danger level analysis unit, and the terrain scanning unit, the tree height scanning unit and the danger level analysis unit are connected in sequence;

[0023] The terrain scanning unit is used to scan the terrain of the forest;

[0024] The tree height scanning unit is used to scan the height of the trees in the forest;

[0025] The danger level analysis unit is used to analyze the danger level after a forest fire by combining information on terrain and trees.

[0026] Wherein, the data processing module comprises an animal behavior judgment unit, a data analysis unit, a picture analysis unit and a numerical value sending unit, and the animal behavior judgment unit, the data analysis unit, the picture analysis unit and the numerical value sending unit are connected in sequence;

[0027] The animal behavior judgment unit is used to photograph and judge the behavior of animals in the forest, and increase the danger value if dangerous information is found, and decrease the value if dangerous information is found;

[0028] The data analysis unit is used to centrally analyze all the information collected on forest resources. The more dangerous information there is, the higher the value will be, and vice versa.

[0029] The image analysis unit is used to analyze the images of forest resources, and if dangerous information is found, the danger value is increased, otherwise the value is reduced;

[0030] The value sending unit is used to integrate all dangerous values ​​and send them to the early warning module.

[0031] Wherein, the early warning module includes a threshold setting unit, a value judgment unit, a pre-alarm unit and an emergency alarm unit, and the threshold setting unit, the value judgment unit, the pre-alarm unit and the emergency alarm unit are connected in sequence;

[0032] The threshold setting unit is used to set the threshold of the danger value, which can be lowered or raised based on the actual situation of the forest;

[0033] The numerical value judgment unit is used to judge the danger value. If the danger value does not reach the threshold, it means that the forest is in a safe environment. If the danger value reaches or exceeds the threshold, it means that a fire may occur. If the danger value greatly exceeds the threshold, it means that a fire has occurred in the forest environment.

[0034] The pre-alarm unit is used to send warning information to the artificial intelligence processing platform when the threshold is reached, and rely on artificial intelligence to mobilize the fire-fighting equipment for cooling and heat dissipation to go to the dangerous place for processing;

[0035] The emergency alarm unit is used to directly issue an emergency alarm when the value significantly exceeds the threshold value, and notify the staff to go to the designated area to extinguish the fire.

[0036] Among them, the artificial intelligence-based forest resource intelligent monitoring and early warning system also includes a fire simulation module, and the fire simulation module is connected to the artificial intelligence processing platform.

[0037] Wherein, the fire simulation module includes a wind direction judgment unit, a tree distribution judgment unit, a terrain analysis unit and a fire trend analysis unit, and the wind direction judgment unit, the tree distribution judgment unit, the terrain analysis unit and the fire trend analysis unit are connected in sequence;

[0038] The wind direction determination unit is used to collect and determine the wind direction data of the forest;

[0039] The tree distribution judgment unit is used to analyze the distribution of forest trees;

[0040] The terrain analysis unit is used to analyze and judge the terrain of the forest;

[0041] The fire trend analysis unit is used to analyze the direction and area where the fire is most likely to spread based on the wind direction, the density of tree distribution and the height of terrain.

[0042] The present invention discloses an intelligent monitoring and early warning system for forest resources based on artificial intelligence, wherein the data acquisition module, the environment judgment module, the data processing module, the early warning module and the artificial intelligence module are connected in sequence; the artificial intelligence module is used to analyze and process forest resource data by relying on artificial intelligence; the data acquisition module is used to collect and record environmental hazard information of forest resources; the environment judgment module is used to analyze and judge the hazard coefficient according to terrain information; the data processing module is used to collect all collected data and analyze and process them, and send the obtained hazard values ​​to the early warning module; the early warning module is used to receive the hazard values ​​and issue an early warning after exceeding a threshold; thereby, the weather, temperature, humidity, shooting pictures and animal behavior data of the forest can be combined to analyze and judge, the possibility of fire occurrence can be obtained, and an early warning can be issued, so that timely processing can be carried out before the fire occurs to minimize the damage to the forest caused by the fire. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0044] Figure 1 It is a schematic diagram of the overall structure of the first embodiment of the present invention.

[0045] Figure 2 It is a structural schematic diagram of the data acquisition module of the present invention.

[0046] Figure 3It is a structural schematic diagram of the environment judgment module of the present invention.

[0047] Figure 4 It is a structural schematic diagram of the data processing module of the present invention.

[0048] Figure 5 It is a schematic diagram of the overall structure of the second embodiment of the present invention.

[0049] Figure 6 It is a structural schematic diagram of the fire simulation module of the present invention.

[0050] Figure 7 It is a schematic diagram of the overall structure of the third embodiment of the present invention.

[0051] Figure 8 It is a structural schematic diagram of the disaster relief module of the present invention.

[0052] 101-artificial intelligence module, 201-data acquisition module, 301-environmental judgment module, 401-data processing module, 501-early warning module, 102-artificial intelligence processing platform, 103-data server, 104-GPS locator, 202-network camera, 203-smoke detector, 204-infrared temperature scanner, 205-weather monitoring unit, 206-ultraviolet monitoring unit, 302-terrain scanning unit, 303-tree height scanning unit, 304-danger degree analysis unit, 305-animal behavior judgment unit, 306-data analysis unit, 307-image analysis unit, 308-value sending unit, 402-threshold setting unit, 403-value judgment unit, 404-preliminary alarm unit, 405-emergency alarm unit, 601-fire simulation module, 602-wind direction judgment unit, 603-tree distribution judgment unit, 604-terrain analysis unit, 605-fire direction analysis unit, 701-disaster relief module, 702-intelligent mobile unit, 703-fan-shaped spray cooling unit, 704-burning point scanning unit, 705-precision fire extinguishing unit. DETAILED DESCRIPTION

[0053] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0054] First embodiment:

[0055] See also Figures 1 to 4The present invention provides an artificial intelligence-based forest resource intelligent monitoring and early warning system, comprising an artificial intelligence module 101, a data acquisition module 201, an environment judgment module 301, a data processing module 401 and an early warning module 501, wherein the artificial intelligence module 101 comprises an artificial intelligence processing platform 102, a data server 103 and a GPS locator 104, the data acquisition module 201 comprises a network camera 202, a smoke detector 203, an infrared temperature scanner 204, a weather monitoring unit 205 and an ultraviolet monitoring unit 206, the environment judgment module 301 comprises a terrain scanning unit 302, a tree height scanning unit 303 and a danger degree analysis unit 304, the data processing module 401 comprises an animal behavior judgment unit 305, a data analysis unit 306, a picture analysis unit 307 and a numerical value sending unit 308, and the early warning module 501 comprises a threshold setting unit 402, a numerical value judgment unit 403, a pre-alarm unit 404 and an emergency alarm unit 405.

[0056] Among them, the data acquisition module 201, the environmental judgment module 301, the data processing module 401, the early warning module 501 and the artificial intelligence module 101 are connected in sequence; the artificial intelligence module 101 is used to analyze and process forest resource data by relying on artificial intelligence; the data acquisition module 201 is used to collect and record environmental hazard information of forest resources; the environmental judgment module 301 is used to analyze and judge the hazard factor according to terrain information; the data processing module 401 is used to concentrate all collected data and analyze and process them, and send the obtained hazard value to the early warning module 501; the early warning module 501 is used to receive the hazard value and issue an early warning after exceeding the threshold.

[0057] Secondly, the artificial intelligence processing platform 102, the data server 103 and the GPS locator 104 are connected in sequence; the artificial intelligence processing platform 102 is used to perform intelligent monitoring of forest resources based on artificial intelligence, and the staff can control each module by operating the artificial intelligence processing platform 102; the data server 103 is used to collect forest resource information and record and store it; the GPS locator 104 is used to locate and monitor an area with the highest risk factor after artificial intelligence analysis, and help fire-fighting equipment to go to the dangerous area for processing.

[0058] At the same time, the network camera 202, the smoke detector 203, the infrared temperature scanner 204, the weather monitoring unit 205 and the ultraviolet monitoring unit 206 are connected in sequence; the network camera 202 is used to shoot and monitor forest resources, and transmit them to the artificial intelligence processing platform 102 through the network for observation by staff, and the artificial intelligence performs intelligent analysis based on the shooting information; the smoke detector 203 is used to detect smoke in the forest environment; the infrared temperature scanner 204 is used to detect the temperature of the forest environment; the weather monitoring unit 205 is used to synchronize local weather forecasts after networking, and at the same time conduct on-site surveys and monitoring to analyze whether it is raining; the ultraviolet monitoring unit 206 is used to monitor the ultraviolet intensity of the forest.

[0059] In addition, the terrain scanning unit 302, the tree height scanning unit 303 and the danger level analysis unit 304 are connected in sequence; the terrain scanning unit 302 is used to scan the terrain of the forest; the tree height scanning unit 303 is used to scan the height of the forest trees; the danger level analysis unit 304 is used to analyze the danger level after a forest fire in combination with the terrain and tree information.

[0060] Then, the animal behavior judgment unit 305, the data analysis unit 306, the image analysis unit 307 and the value sending unit 308 are connected in sequence; the animal behavior judgment unit 305 is used to shoot and judge the animal behavior in the forest, and increase the danger value when dangerous information is found, otherwise reduce the value; the data analysis unit 306 is used to centrally analyze all the information collected from forest resources, the more dangerous information, the higher the value, and vice versa; the image analysis unit 307 is used to analyze the images of forest resources, and increase the danger value when dangerous information is found, and otherwise reduce the value; the value sending unit 308 is used to integrate all danger values ​​and send them to the early warning module 501.

[0061] Finally, the threshold setting unit 402, the numerical judgment unit 403, the pre-alarm unit 404 and the emergency alarm unit 405 are connected in sequence; the threshold setting unit 402 is used to set the threshold of the danger value, which can be lowered or raised based on the actual situation of the forest; the numerical judgment unit 403 is used to judge the danger value. If the danger value does not reach the threshold, it means that the forest is in a safe environment. If the danger value reaches or exceeds the threshold, it means that a fire may occur. If the danger value greatly exceeds the threshold, it means that a fire has occurred in the forest environment; the pre-alarm unit 404 is used to send an early warning message to the artificial intelligence processing platform 102 when the threshold is reached, and rely on artificial intelligence to mobilize the fire-fighting equipment for cooling and heat dissipation to go to the dangerous place for processing; the emergency alarm unit 405 is used to directly issue an emergency alarm when the value greatly exceeds the threshold, and notify the staff to go to the designated area to extinguish the fire.

[0062] When using the artificial intelligence-based intelligent forest resource monitoring and early warning system of this embodiment, first, the network camera 202 takes pictures and records the forest environment and stores it in the data server 103. The smoke detector 203 detects the smoke content in the forest environment. The infrared temperature scanner 204 detects the temperature of the forest environment. If the temperature is too high, there is a risk of fire. The weather monitoring unit 205 can be connected to the network and synchronized with the local weather forecast after networking. At the same time, the humidity in the air is monitored on site to analyze whether it will rain. The ultraviolet monitoring unit 206 monitors the ultraviolet intensity of the forest. At the same time, the terrain scanning unit 302 scans the terrain of the forest. The tree height scanning The unit 303 scans the height of the trees in the forest, and the danger level analysis unit 304 analyzes the danger level after a forest fire in combination with the information of the terrain and the trees, and determines whether the collapse of the overly high trees will affect other surrounding buildings or roads in the forest when a fire occurs, thereby giving the danger level of each area when a fire occurs, so as to remind tourists or pedestrians to stay away from areas with high danger levels; during fire warning, the animal behavior judgment unit 305 photographs and judges the behavior of animals in the forest. When there are too many animals, the fire will cause the animals to be frightened, and rushing onto the road will affect the normal driving of tourists or cars. At the same time, it can also judge whether a forest fire occurs based on the frightened state of the animals, and then find more danger signals. The data analysis unit 306 performs centralized analysis on all the information collected from forest resources. The more dangerous information there is, the higher the value is, and vice versa. The picture analysis unit 307 analyzes the pictures taken by the network camera 202. If dangerous information is found, the dangerous value is increased, and vice versa, the dangerous value is decreased. The value sending unit 308 integrates all dangerous values ​​and sends them to the early warning module 501. When issuing an early warning: first, the threshold value of the dangerous value is set by the threshold setting unit 402, which can be lowered or raised based on the actual situation of the forest. Then, the value judgment unit 403 judges the dangerous value. When the dangerous value does not reach the threshold value, it means that the forest is in danger. In a safe environment, when the danger value reaches or exceeds the threshold, it indicates that a fire may occur or is about to occur. At this time, the pre-alarm unit 404 sends a warning message to the artificial intelligence processing platform 102, and relies on artificial intelligence to mobilize the fire-fighting equipment for cooling and heat dissipation to go to the dangerous place for processing; when the danger value exceeds the threshold by a large margin, it indicates that a fire has occurred in the forest environment; the emergency alarm unit 405 directly issues an emergency alarm and notifies the staff to go to the designated area to extinguish the fire. In this way, the weather, temperature, humidity, shooting pictures and animal behavior data of the forest can be combined to analyze and judge, and the possibility of fire can be obtained, and an early warning can be issued, so that timely processing can be carried out before the fire occurs to minimize the damage to the forest caused by the fire.

[0063] Second embodiment:

[0064] Based on the first embodiment, please refer to Figure 5 and Figure 6 The present invention provides an artificial intelligence-based intelligent forest resource monitoring and early warning system, which also includes a fire simulation module 601, and the fire simulation module 601 includes a wind direction judgment unit 602, a tree distribution judgment unit 603, a terrain analysis unit 604 and a fire trend analysis unit 605.

[0065] Wherein, the fire simulation module 601 is connected to the artificial intelligence processing platform 102 .

[0066] Secondly, the wind direction judgment unit 602, the tree distribution judgment unit 603, the terrain analysis unit 604 and the fire direction analysis unit 605 are connected in sequence; the wind direction judgment unit 602 is used to collect and judge the wind direction data of the forest; the tree distribution judgment unit 603 is used to analyze the distribution of forest trees; the terrain analysis unit 604 is used to analyze and judge the terrain of the forest; the fire direction analysis unit 605 is used to analyze the direction and area where the fire is most likely to spread based on the judgment results of wind direction, tree density distribution and terrain height.

[0067] When using the artificial intelligence-based intelligent monitoring and early warning system for forest resources of this embodiment, the wind direction determination unit 602 detects and analyzes the wind direction and wind speed of the forest, the tree distribution determination unit 603 analyzes the distribution of trees in the forest, and the terrain analysis unit 604 analyzes the terrain of the forest;

[0068] The fire trend analysis unit 605 is used to analyze the direction and area where the fire is most likely to spread in combination with the judgment results of wind direction, tree density distribution and terrain height. The wind direction and wind speed can be used to know the impact of risk on the fire when a fire occurs; by judging the tree density distribution in each area, the distribution and trend of the fire when a fire occurs can be known; by judging the different terrains in each area of ​​the forest, it can be determined which terrain can slow down or prevent the spread of the fire and which terrain will accelerate the spread of the fire, and then the order of disaster relief can be determined. In this way, the fire can be simulated and analyzed, the direction of the fire can be accurately judged, and the best fire-fighting route can be provided for firefighters.

[0069] Third embodiment:

[0070] The forest resource intelligent monitoring and early warning system based on artificial intelligence also includes a disaster relief module 701, which is connected to the artificial intelligence processing platform 102. The disaster relief module 701 includes an intelligent mobile unit 702, a fan-shaped spray cooling unit 703, a burning point scanning unit 704 and a precise fire extinguishing unit 705, which are connected in sequence; the intelligent mobile unit 702 is used to guide the fire fighting equipment to move to the fire extinguishing location according to the location of the GPS locator 104; the fan-shaped spray cooling unit 703 is used to spray water to cool the surrounding environment of the forest to prevent fire when no fire occurs; the burning point scanning unit 704 is used to scan and judge the burning point of the forest when a fire occurs; the precise fire extinguishing unit 705 is used to set up a water gun to extinguish the burning point in time and accurately.

[0071] Based on the second embodiment, please refer to Figure 7 and Figure 8 The present invention provides an artificial intelligence-based intelligent forest resource monitoring and early warning system, which also includes a disaster relief module 701, wherein the disaster relief module 701 includes an intelligent mobile unit 702, a fan-shaped spraying and cooling unit 703, a burning point scanning unit 704 and a precise fire extinguishing unit 705.

[0072] Among them, the disaster relief module 701 is connected to the artificial intelligence processing platform 102.

[0073] Secondly, the intelligent mobile unit 702, the fan-shaped spray cooling unit 703, the burning point scanning unit 704 and the precise fire extinguishing unit 705 are connected in sequence; the intelligent mobile unit 702 is used to guide the fire-fighting equipment to move to the fire extinguishing location intelligently according to the location of the GPS locator 104; the fan-shaped spray cooling unit 703 is used to spray water to cool down the surrounding environment of the forest to prevent fire when no fire occurs; the burning point scanning unit 704 is used to scan and determine the burning point of the forest when a fire occurs; the precise fire extinguishing unit 705 is used to set up a water gun to extinguish the burning point in a timely and precise manner.

[0074] When using the artificial intelligence-based intelligent forest resource monitoring and early warning system of the present embodiment, when no fire occurs but the risk factor reaches a threshold, the GPS locator 104 locates the fire area, and the intelligent mobile unit 702 drives the fire-fighting equipment to move intelligently to the fire-fighting location, and then the fan-shaped spraying and cooling unit 703 sprays water to cool the surrounding environment of the forest to avoid fire caused by excessive temperature; when a fire occurs, the burning point scanning unit 704 scans and determines the burning point of the forest, and then the precise fire extinguishing unit 705 sets up a water gun to extinguish the burning point in a timely and precise manner, thereby greatly improving the fire extinguishing efficiency, and can also cool the forest in time when a fire warning occurs, reducing the probability of fire.

[0075] What is disclosed above is only one or more preferred embodiments of the present application, and cannot be used to limit the scope of rights of the present application. Ordinary technicians in this field can understand that all or part of the processes of implementing the above embodiments and equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. An artificial intelligence-based intelligent monitoring and early warning system for forest resources, characterized in that: It includes an artificial intelligence module, a data acquisition module, an environment judgment module, a data processing module and an early warning module, wherein the data acquisition module, the environment judgment module, the data processing module, the early warning module and the artificial intelligence module are connected in sequence; The artificial intelligence module is used to analyze and process forest resource data by relying on artificial intelligence; The data collection module is used to collect and record environmental hazard information of forest resources; The environmental judgment module is used to analyze and judge the risk factor according to the terrain information; The data processing module is used to collect all collected data and analyze and process them, and send the obtained dangerous values ​​to the early warning module; The warning module is used to receive the danger value and issue a warning after exceeding the threshold.

2. The artificial intelligence-based forest resource intelligent monitoring and early warning system according to claim 1, characterized in that: The artificial intelligence module includes an artificial intelligence processing platform, a data server and a GPS locator, and the artificial intelligence processing platform, the data server and the GPS locator are connected in sequence; The artificial intelligence processing platform is used to perform intelligent monitoring of forest resources based on artificial intelligence, and the staff can control each module by operating the artificial intelligence processing platform; The data server is used to collect forest resource information and record and store it; The GPS locator is used to locate and monitor an area with the highest risk factor after artificial intelligence analysis, and to help fire-fighting equipment reach the dangerous area for processing.

3. The artificial intelligence-based forest resource intelligent monitoring and early warning system according to claim 2, characterized in that: The data acquisition module includes a network camera, a smoke detector, an infrared temperature scanner, a weather monitoring unit and an ultraviolet monitoring unit, wherein the network camera, the smoke detector, the infrared temperature scanner, the weather monitoring unit and the ultraviolet monitoring unit are connected in sequence; The network camera is used to shoot and monitor forest resources, and transmit the information to the artificial intelligence processing platform through the network for observation by staff, while the artificial intelligence performs intelligent analysis based on the shooting information; The smoke detector is used to detect smoke in a forest environment; The infrared temperature scanner is used to detect the temperature of the forest environment; The weather monitoring unit is used to synchronize the local weather forecast after networking, and to conduct on-site survey and monitoring to analyze whether it is raining; The ultraviolet monitoring unit is used to monitor the ultraviolet intensity of the forest.

4. The artificial intelligence-based forest resource intelligent monitoring and early warning system according to claim 3, characterized in that: The environment judgment module includes a terrain scanning unit, a tree height scanning unit and a danger level analysis unit, and the terrain scanning unit, the tree height scanning unit and the danger level analysis unit are connected in sequence; The terrain scanning unit is used to scan the terrain of the forest; The tree height scanning unit is used to scan the height of the trees in the forest; The danger level analysis unit is used to analyze the danger level after a forest fire by combining information on terrain and trees.

5. The artificial intelligence-based intelligent monitoring and early warning system for forest resources according to claim 4, characterized in that: The data processing module includes an animal behavior judgment unit, a data analysis unit, a picture analysis unit and a value sending unit, and the animal behavior judgment unit, the data analysis unit, the picture analysis unit and the value sending unit are connected in sequence; The animal behavior judgment unit is used to photograph and judge the behavior of animals in the forest, and increase the danger value if dangerous information is found, and decrease the value if dangerous information is found; The data analysis unit is used to centrally analyze all the information collected on forest resources. The more dangerous information there is, the higher the value will be, and vice versa. The image analysis unit is used to analyze the images of forest resources, and if dangerous information is found, the danger value is increased, otherwise the value is reduced; The value sending unit is used to integrate all dangerous values ​​and send them to the early warning module.

6. The artificial intelligence-based intelligent monitoring and early warning system for forest resources according to claim 5, characterized in that: The early warning module includes a threshold setting unit, a value judgment unit, a pre-alarm unit and an emergency alarm unit, and the threshold setting unit, the value judgment unit, the pre-alarm unit and the emergency alarm unit are connected in sequence; The threshold setting unit is used to set the threshold of the danger value, which can be lowered or raised based on the actual situation of the forest; The numerical value judgment unit is used to judge the danger value. If the danger value does not reach the threshold, it means that the forest is in a safe environment. If the danger value reaches or exceeds the threshold, it means that a fire may occur. If the danger value greatly exceeds the threshold, it means that a fire has occurred in the forest environment. The pre-alarm unit is used to send warning information to the artificial intelligence processing platform when the threshold is reached, and rely on artificial intelligence to mobilize the fire-fighting equipment for cooling and heat dissipation to go to the dangerous place for processing; The emergency alarm unit is used to directly issue an emergency alarm when the value significantly exceeds the threshold value, and notify the staff to go to the designated area to extinguish the fire.

7. The artificial intelligence-based intelligent monitoring and early warning system for forest resources according to claim 6, characterized in that: The artificial intelligence-based intelligent forest resource monitoring and early warning system also includes a fire simulation module, which is connected to the artificial intelligence processing platform.

8. The artificial intelligence-based intelligent monitoring and early warning system for forest resources according to claim 7, characterized in that: The fire simulation module includes a wind direction judgment unit, a tree distribution judgment unit, a terrain analysis unit and a fire trend analysis unit, and the wind direction judgment unit, the tree distribution judgment unit, the terrain analysis unit and the fire trend analysis unit are connected in sequence; The wind direction determination unit is used to collect and determine the wind direction data of the forest; The tree distribution judgment unit is used to analyze the distribution of forest trees; The terrain analysis unit is used to analyze and judge the terrain of the forest; The fire trend analysis unit is used to analyze the direction and area where the fire is most likely to spread based on the wind direction, the density of tree distribution and the height of terrain.

Images