Forest fire prevention intelligent inspection device and inspection method

Abstract

The invention provides a forest fire prevention intelligent inspection device and an inspection method, and relates to the field of forest fire prevention monitoring. According to the intelligent inspection device and method for forest fire prevention, the intelligent inspection device for forest fire prevention is controlled by a set of intelligent inspection system for forest fire prevention, and comprises an inspection device with fixed inspection points and mobile inspection equipment, the support site comprises monitoring acquisition equipment, communication system equipment and power supply equipment, and the mobile inspection equipment comprises ground inspection equipment and aerial inspection equipment. By analyzing and processing a large amount of monitoring data, the forest fire prevention intelligent inspection system can update a risk assessment result in real time and dynamically adjust a fire prevention strategy and a resource allocation scheme, so that the system is more scientific and reasonable and adapts to the change of actual conditions.

Description

Technical Field

[0001] The invention relates to the field of forest fire prevention monitoring, and in particular to an intelligent inspection device and inspection method for forest fire prevention. Background Art

[0002] Forests are a core component of the earth's ecosystem and have many ecological functions, such as conserving water resources, maintaining water and soil, regulating climate, purifying air, and protecting biodiversity. Forest fires can have a devastating impact on the ecosystem, directly leading to the death of a large number of animals and plants, destroying biological habitats, and threatening the survival of some species, thereby breaking the ecological balance. If forest fires get out of control, they will threaten the lives and property of surrounding residents. Therefore, forest fire prevention is of great significance to maintaining social security and stability. Traditional forest fire inspections mainly rely on manual patrols and observations from watchtowers. Manual patrols are less efficient, and the inspectors have a limited field of vision, making it difficult to cover large areas of forest areas. Therefore, the present invention proposes a forest fire prevention intelligent inspection device and inspection method, so as to effectively solve the above-mentioned troubles and problems. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the deficiencies in the prior art, the present invention provides a forest fire prevention intelligent inspection device and inspection method. Fixed checkpoints are evenly set up in the forest, each checkpoint has a complete set of monitoring and collection equipment and communication equipment, and the entire forest area is completely covered by multiple fixed checkpoints, so that the entire forest is within the inspection range, ensuring that each fire hazard can be quickly discovered and immediately located, greatly reducing the potential fire safety hazards in the forest. Moreover, the mobile inspection system can conduct more frequent and careful key inspections on fire-prone areas. UAVs equipped with artificial intelligence equipment conduct aerial inspections, which can quickly cover large areas of forest areas, especially hard-to-reach places such as deep mountains and canyons where few people go. Unmanned vehicles or intelligent robots on the ground can also inspect along the set path. The two cooperate to achieve all-round and no-dead-angle monitoring, greatly expanding the coverage of the inspection. Through the analysis and processing of a large amount of monitoring data, the forest fire prevention intelligent inspection system can update the risk assessment results in real time, dynamically adjust the fire prevention strategy and resource allocation plan, so that it is more scientific and reasonable, and adapts to changes in actual conditions.

[0005] (II) Technical solution

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a forest fire prevention intelligent patrol device and patrol method, the forest fire prevention intelligent patrol device is controlled by a forest fire prevention intelligent patrol system, the forest fire prevention intelligent patrol device includes a fixed checkpoint inspection device and a mobile patrol device, the fixed checkpoint device sets a support station in each area of ​​the forest, the support station is an upright pile pole, the top height of the pile pole is higher than the height of the surrounding trees at the forest location, the bottom of the pile pole is buried in the soil, the support station includes a monitoring and collection device, a communication system device and a power supply device, the mobile The dynamic inspection equipment includes ground inspection equipment and aerial inspection equipment. The carrier of the ground inspection equipment is a remote-controlled patrol car, which includes power equipment, monitoring and collection equipment, a camera device, a signal positioning device and a communication system. The carrier of the aerial inspection equipment is a remote-controlled drone, which is equipped with power equipment, monitoring and collection equipment, a camera device, a signal positioning device and a communication system. The forest fire prevention intelligent inspection system receives information data transmitted by the intelligent inspection device. The forest fire prevention intelligent inspection system is set in a forest fire safety monitoring center. The system includes a monitoring alarm module and a data processing module.

[0007] Through the above technical solution, fixed stations are evenly distributed and installed inside the forest, and a complete set of monitoring equipment is installed at each fixed point, so that the entire forest can be covered within the monitoring range, and all checkpoints are connected to the intelligent inspection system and controlled uniformly by the system.

[0008] Preferably, the monitoring and collection equipment at the fixed checkpoints and the monitoring and collection equipment carried in the mobile inspection equipment include monitoring equipment such as smoke sensors, temperature monitoring sensors, atmospheric humidity monitoring sensors, wind speed monitoring sensors, wind direction monitoring sensors, solar radiation monitoring sensors, carbon dioxide concentration monitoring sensors and soil moisture sensors;

[0009] Through the above technical solution, the monitoring and collection equipment can monitor various forest environments. By monitoring the forest's temperature, humidity, wind speed, wind direction and other conditions that may cause fires, prevention and key monitoring of environments where fires may occur can be carried out, thereby achieving the effect of significantly reducing fire hazards.

[0010] Preferably, the camera acquisition equipment carried in the ground inspection equipment and the aerial inspection equipment of the mobile inspection equipment includes a high-definition camera device and an infrared thermal imaging device. Both the high-definition camera device and the infrared imaging device are provided with an intelligent recognition program, which automatically extracts the shape, color, texture of the flame in the image and the characteristics of the smoke form through a convolutional neural network to identify the signs of fire in the captured image and determine whether there is a fire hazard.

[0011] Through the above technical solutions, infrared thermal imagers can see through vegetation and smoke and find hidden heat sources, such as small fire spots or high-temperature burning areas. Even at night or when vision is obstructed, they can work effectively, greatly improving the probability of early detection of fires. Convolutional neural networks (CNN) are used for analysis to identify vegetation types, cover density and humidity status to assess the potential risk of fire. A large number of images labeled with fire and normal forest scenes are used to learn the difference between the two. When new images are transmitted, they can be compared with standard images to determine whether there is a fire hazard.

[0012] Preferably, the communication system equipment carried in the monitoring and collection equipment at the fixed checkpoints and the mobile inspection equipment includes a wireless communication module and a satellite communication module, the wireless communication module includes 4G wireless communication and Zigbee network, and the satellite communication module includes GPS satellite communication equipment;

[0013] Through the above technical solutions, 4G network is suitable for transmitting large-capacity data, such as high-definition infrared thermal imaging images, and ZigBee low-power wide area network technology can realize long-distance data transmission with low power consumption. They can cover a larger area and aggregate the data of each inspection device. The satellite communication module can ensure data transmission in some deep mountains and forests where there is no ground communication network coverage.

[0014] Preferably, the data processing module of the forest fire prevention intelligent patrol system receives data, integrates data, and cleans and annotates the sensor data monitored and collected by the intelligent patrol device, integrates data from different sensors to form a multi-dimensional data set, and establishes early warning thresholds for various data. A comprehensive assessment of fire risks is performed based on the thresholds of various monitoring data, and the risk assessment results can be divided into different levels, such as low risk, medium risk, and high risk.

[0015] Preferably, the monitoring alarm device of the forest fire prevention intelligent inspection system triggers early warning and emergency response according to the risk assessment of the data processing module. When the fire risk reaches a certain threshold, the monitoring alarm device automatically triggers the early warning emergency response, and the early warning information is sent through SMS, mobile application notification, sound and light alarm and other methods;

[0016] A forest fire prevention intelligent patrol method, which is implemented by a forest fire prevention intelligent patrol system, wherein the forest fire prevention intelligent patrol system controls an intelligent patrol device, and a fixed inspection point device in the intelligent patrol device evenly and scientifically sets up fixed monitoring points according to the area, terrain, and vegetation type of the forest, to ensure that the inspection range of all inspection points can cover the entire forest area;

[0017] Step 1: Various monitoring sensors are installed at each fixed checkpoint. The collected data is regularly transmitted to the forest fire prevention intelligent inspection system. The data processing module of the forest fire prevention intelligent inspection system analyzes and processes the data. Once the data is found to be beyond the normal range, the alarm mechanism will be triggered. At the same time, the location information of the monitoring station will be recorded to facilitate the rapid positioning of subsequent rescue forces.

[0018] Step 2: According to the terrain of the forest, mobile inspections are carried out in areas prone to fire, forest edges with frequent human activities, valleys and other places where fire channels are easily formed. Intensive inspections are carried out by remote-controlled patrol vehicles and drones on the ground. Both drones and remote-controlled patrol vehicles can be remotely controlled. The staff can remotely control them in the monitoring center or in the ground work vehicle at the edge of the forest. The monitoring and collection sensors carried by drones and patrol vehicles monitor the areas prone to fire more intensively and in detail. Once abnormal data is detected, the data and its own location information are immediately sent to the monitoring center through the communication module. In addition, drones and patrol vehicles are equipped with cameras to transmit images of the surrounding environment back in real time, so that the staff of the monitoring center can intuitively understand the situation on the forest site;

[0019] Step 3: The monitoring center monitors and processes the collected data in real time to ensure that the monitoring data in fixed checkpoints and patrol areas are updated in real time and the monitoring alarm devices are in normal working condition. Once the fire risk reaches a certain threshold, the intelligent early warning system of the data processing module is automatically triggered, and the monitoring alarm device is automatically started to conduct key inspections of abnormal areas. After confirming the fire hazard, the nearby fire brigade is notified in time according to the location and scale of the fire, and the fire-fighting force is reasonably allocated to improve the fire-fighting efficiency.

[0020] (III) Beneficial effects

[0021] The present invention provides a forest fire prevention intelligent inspection device and inspection method, which have the following beneficial effects:

[0022] The present invention provides a forest fire prevention intelligent inspection device and inspection method. Fixed inspection points are evenly set in the forest, each inspection point has a complete set of monitoring and collection equipment and communication equipment, and the entire forest area is completely covered by multiple fixed inspection points, so that the entire forest is within the inspection range, ensuring that each fire hazard can be quickly discovered and immediately located, greatly reducing the potential fire safety hazards in the forest, and the mobile inspection system can conduct more frequent and careful key inspections on fire-prone areas, and unmanned aerial vehicles equipped with artificial intelligence equipment for aerial inspections can quickly cover large areas of forest areas, especially hard-to-reach places such as deep mountains and canyons where few people go, and unmanned vehicles or intelligent robots on the ground can also inspect along the set path. The two cooperate to achieve all-round and no-dead-angle monitoring, greatly expanding the coverage of the inspection, and through the analysis and processing of a large amount of monitoring data, the forest fire prevention intelligent inspection system can update the risk assessment results in real time, dynamically adjust the fire prevention strategy and resource allocation plan, so that it is more scientific and reasonable, and adapts to changes in actual conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the overall device composition of the forest fire prevention intelligent inspection device of the present invention;

[0024] Figure 2 A schematic diagram of the equipment composition of the collection sensor of the forest fire prevention intelligent inspection device of the present invention;

[0025] Figure 3 It is a schematic diagram of the equipment composition of the ground inspection equipment of the forest fire prevention intelligent inspection device of the present invention;

[0026] Figure 4 This is a schematic diagram of the equipment composition of the aerial inspection equipment of the forest fire prevention intelligent inspection device of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the description of this application, it should be noted that the terms used here are only for describing specific implementations, and are not intended to limit the exemplary implementations according to the present application. For ease of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship. The techniques, methods and devices known to ordinary technicians in the relevant fields may not be discussed in detail, but where appropriate, the techniques, methods and devices should be regarded as part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as merely exemplary, not as a limitation. Therefore, other examples of the exemplary embodiments may have different values. It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0028] Embodiment 1:

[0029] like Figure 1-4 As shown, an embodiment of the present invention provides a forest fire prevention intelligent patrol device and a patrol method, the forest fire prevention intelligent patrol device is controlled by a forest fire prevention intelligent patrol system, the forest fire prevention intelligent patrol device includes a fixed checkpoint inspection device and a mobile patrol device, the fixed checkpoint device sets a support station in each area of ​​the forest, the support station is an upright pile pole, the top height of the pile pole is higher than the height of the surrounding trees at the forest location, the bottom of the pile pole is buried in the soil, the support station includes monitoring and collection equipment, communication system equipment and power supply equipment, the mobile patrol equipment includes ground patrol equipment and aerial patrol equipment, the carrier of the ground patrol equipment is a remote-controlled patrol car, and the remote-controlled patrol car contains It contains power equipment, monitoring and collection equipment, camera devices, signal positioning devices and communication systems. The carrier of the aerial inspection equipment is a remote-controlled drone, which is equipped with power equipment, monitoring and collection equipment, camera devices, signal positioning devices and communication systems. The forest fire prevention intelligent inspection system receives information data transmitted by the intelligent inspection device. The forest fire prevention intelligent inspection system is arranged in a forest fire safety monitoring center. The system includes a monitoring alarm module and a data processing module. Fixed stations are evenly distributed and installed inside the forest, and a set of monitoring equipment is fully installed at each fixed point, so that the entire forest can be covered within the monitoring range, and all checkpoints are connected to the intelligent inspection system and are uniformly controlled by the system.

[0030] The monitoring and collection equipment at fixed checkpoints and the monitoring and collection equipment installed in mobile inspection equipment include smoke sensors, temperature monitoring sensors, atmospheric humidity monitoring sensors, wind speed monitoring sensors, wind direction monitoring sensors, solar radiation monitoring sensors, carbon dioxide concentration monitoring sensors and soil moisture sensors. The monitoring and collection equipment can monitor various forest environments, monitor the temperature, humidity, wind speed, wind direction and other conditions that may cause fires in the forest, prevent and focus on monitoring the environment where fires may occur, and achieve the effect of significantly reducing fire hazards.

[0031] The camera acquisition equipment carried in the ground inspection equipment and the aerial inspection equipment of the mobile inspection equipment includes a high-definition camera device and an infrared thermal imager device. Both the high-definition camera device and the infrared imaging device are provided with an intelligent recognition program. The shape, color, texture of the flame in the image, and the characteristics of the smoke form are automatically extracted through the convolutional neural network to identify the fire signs in the captured image and judge whether there will be fire hazards. The infrared thermal imager can penetrate the vegetation and smoke and find the heat source hidden in it, such as a small fire point that has just started or a high-temperature burning area. Even at night or when the line of sight is blocked, it can work effectively, greatly improving the probability of early detection of fire. The convolutional neural network (CNN) is used for analysis to evaluate the potential risk of fire by identifying the vegetation type, coverage density and humidity state, and learn the difference between the two through a large number of images marked with fire and normal forest scenes. When a new image is transmitted, it can be compared with the standard image to judge whether there will be fire hazards.

[0032] The communication system equipment carried in the monitoring and collection equipment of the fixed checkpoints and the mobile inspection equipment includes a wireless communication module and a satellite communication module. The wireless communication module includes 4G wireless communication and Zigbee network. The satellite communication module includes GPS satellite communication equipment. The 4G network is suitable for transmitting large-capacity data, such as high-definition infrared thermal imaging images, etc., and the Zigbee low-power wide area network technology can realize long-distance data transmission with low power consumption. They can cover a larger area and aggregate the data of each inspection device. The satellite communication module can ensure data transmission in some deep mountains and forests where there is no ground communication network coverage.

[0033] The data processing module of the forest fire prevention intelligent patrol system receives data, integrates data, cleans and annotates the sensor data monitored and collected by the intelligent patrol device, integrates data from different sensors to form a multi-dimensional data set, and establishes early warning thresholds for various data. A comprehensive assessment of fire risks is performed based on the thresholds of various monitoring data. The risk assessment results can be divided into different levels, such as low risk, medium risk, and high risk. The monitoring alarm device of the forest fire prevention intelligent patrol system triggers early warning and emergency response based on the risk assessment of the data processing module. When the fire risk reaches a certain threshold, the monitoring alarm device automatically triggers an early warning emergency response. The early warning information is sent in a variety of ways, such as text messages, mobile application notifications, and sound and light alarms.

[0034] Embodiment 2:

[0035] like Figure 1-4 As shown, a forest fire prevention intelligent patrol method is implemented by a forest fire prevention intelligent patrol system. The forest fire prevention intelligent patrol system controls an intelligent patrol device. The fixed inspection point device in the intelligent patrol device evenly and scientifically sets up fixed monitoring points according to the area, terrain, and vegetation type of the forest to ensure that the inspection range of all inspection points can cover the entire forest area.

[0036] Step 1: Various monitoring sensors are installed at each fixed checkpoint. The collected data is regularly transmitted to the forest fire prevention intelligent inspection system. The data processing module of the forest fire prevention intelligent inspection system analyzes and processes the data. Once the data is found to be beyond the normal range, the alarm mechanism will be triggered. At the same time, the location information of the monitoring station will be recorded to facilitate the rapid positioning of subsequent rescue forces.

[0037] Step 2: According to the terrain of the forest, mobile inspections are carried out in areas prone to fire, forest edges with frequent human activities, valleys and other places where fire channels are easily formed. Intensive inspections are carried out by remote-controlled patrol vehicles and drones on the ground. Both drones and remote-controlled patrol vehicles can be remotely controlled. The staff can remotely control them in the monitoring center or in the ground work vehicle at the edge of the forest. The monitoring and collection sensors carried by drones and patrol vehicles monitor the areas prone to fire more intensively and in detail. Once abnormal data is detected, the data and its own location information are immediately sent to the monitoring center through the communication module. In addition, drones and patrol vehicles are equipped with cameras to transmit images of the surrounding environment back in real time, so that the staff of the monitoring center can intuitively understand the situation on the forest site;

[0038] Step 3: The monitoring center monitors and processes the collected data in real time to ensure that the monitoring data in fixed checkpoints and patrol areas are updated in real time and the monitoring alarm devices are in normal working condition. Once the fire risk reaches a certain threshold, the intelligent early warning system of the data processing module is automatically triggered, and the monitoring alarm device is automatically activated to conduct key inspections of abnormal areas. After confirming the fire hazard, the nearby fire brigade is notified in time according to the location and scale of the fire, and the fire-fighting force is reasonably allocated to improve the fire-fighting efficiency.

[0039] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A forest fire prevention intelligent inspection device, characterized in that: The forest fire prevention intelligent patrol device is controlled by a forest fire prevention intelligent patrol system. The forest fire prevention intelligent patrol device includes an inspection device at a fixed checkpoint and a mobile patrol device. The fixed checkpoint device is provided with a support station in each area of ​​the forest. The support station is an upright pile pole. The top height of the pile pole is higher than the height of the surrounding trees at the forest position. The bottom of the pile pole is buried in the soil. The support station includes monitoring and collection equipment, communication system equipment and power supply equipment. The mobile patrol equipment includes ground patrol equipment and aerial patrol equipment. The carrier of the ground patrol equipment is a remote-controlled patrol car. The remote-controlled patrol car includes power equipment, monitoring and collection equipment, camera equipment, signal positioning device and communication system. The carrier of the aerial patrol equipment is a remote-controlled drone. The remote-controlled drone is equipped with power equipment, monitoring and collection equipment, camera equipment, signal positioning device and communication system. The forest fire prevention intelligent patrol system receives information data transmitted by the intelligent patrol device. The forest fire prevention intelligent patrol system is arranged in a forest fire safety monitoring center. The system includes a monitoring alarm module and a data processing module.

2. The intelligent forest fire inspection device according to claim 1, characterized in that: The monitoring and collection equipment at the fixed checkpoints and the monitoring and collection equipment carried in the mobile inspection equipment include monitoring equipment such as smoke sensors, temperature monitoring sensors, atmospheric humidity monitoring sensors, wind speed monitoring sensors, wind direction monitoring sensors, solar radiation monitoring sensors, carbon dioxide concentration monitoring sensors and soil moisture sensors.

3. The intelligent forest fire inspection device according to claim 1 is characterized in that: The camera acquisition equipment carried in the ground inspection equipment and the aerial inspection equipment of the mobile inspection equipment includes a high-definition camera device and an infrared thermal imaging device. Both the high-definition camera device and the infrared imaging device are equipped with an intelligent recognition program. The convolutional neural network automatically extracts the shape, color, texture of the flame in the image, and the characteristics of the smoke form to identify the signs of fire in the captured image and determine whether there will be fire hazards.

4. The intelligent forest fire inspection device according to claim 1 is characterized in that: The communication system equipment carried in the monitoring and collection equipment at the fixed checkpoints and the mobile inspection equipment includes a wireless communication module and a satellite communication module. The wireless communication module includes 4G wireless communication and Zigbee network, and the satellite communication module includes GPS satellite communication equipment.

5. The intelligent forest fire inspection device according to claim 1 is characterized in that: The data processing module of the forest fire prevention intelligent patrol system receives data, integrates data, cleans and annotates the sensor data monitored and collected by the intelligent patrol device, integrates data from different sensors to form a multi-dimensional data set, and establishes early warning thresholds for various data. A comprehensive assessment of fire risks is performed based on the thresholds of various monitoring data. The risk assessment results can be divided into different levels, such as low risk, medium risk, and high risk.

6. The intelligent forest fire inspection device according to claim 1, characterized in that: The monitoring alarm device of the forest fire prevention intelligent patrol system triggers early warning and emergency response according to the risk assessment of the data processing module. When the fire risk reaches a certain threshold, the monitoring alarm device automatically triggers an early warning emergency response. The early warning information is sent in a variety of ways such as text messages, mobile application notifications, and sound and light alarms.

7. A forest fire prevention intelligent inspection method, characterized in that: The forest fire prevention intelligent inspection method is implemented by a forest fire prevention intelligent inspection system, wherein the forest fire prevention intelligent inspection system controls an intelligent inspection device, and a fixed inspection point device in the intelligent inspection device evenly and scientifically sets up fixed monitoring points according to the area, terrain, and vegetation type of the forest, to ensure that the inspection range of all inspection points can cover the entire forest area; Step 1: Various monitoring sensors are installed at each fixed checkpoint. The collected data is regularly transmitted to the forest fire prevention intelligent inspection system. The data processing module of the forest fire prevention intelligent inspection system analyzes and processes the data. Once the data is found to be beyond the normal range, the alarm mechanism will be triggered. At the same time, the location information of the monitoring station will be recorded to facilitate the rapid positioning of subsequent rescue forces. Step 2: According to the terrain of the forest, mobile inspections are carried out in areas prone to fire, forest edges with frequent human activities, valleys and other places where fire channels are easily formed. Intensive inspections are carried out by remote-controlled patrol vehicles and drones on the ground. Both drones and remote-controlled patrol vehicles can be remotely controlled. The staff can remotely control them in the monitoring center or in the ground work vehicle at the edge of the forest. The monitoring and collection sensors carried by drones and patrol vehicles monitor the areas prone to fire more intensively and in detail. Once abnormal data is detected, the data and its own location information are immediately sent to the monitoring center through the communication module. In addition, drones and patrol vehicles are equipped with cameras to transmit images of the surrounding environment back in real time, so that the staff of the monitoring center can intuitively understand the situation on the forest site; Step 3: The monitoring center monitors and processes the collected data in real time to ensure that the monitoring data in fixed checkpoints and patrol areas are updated in real time and the monitoring alarm devices are in normal working condition. Once the fire risk reaches a certain threshold, the intelligent early warning system of the data processing module is automatically triggered, and the monitoring alarm device is automatically started to conduct key inspections of abnormal areas. After confirming the fire hazard, the nearby fire brigade is notified in time according to the location and scale of the fire, and the fire-fighting force is reasonably allocated to improve the fire-fighting efficiency.

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