Smart forest monitoring system, method and related devices

Abstract

The present application provides a smart forest monitoring system, method and related devices. The method first receives the monitoring data of animal monitoring equipment and plant monitoring equipment; then sends the processing results of the monitoring data to the display device of the management center; finally, when it is determined that the target animal or target plant is abnormal according to the processing results, an alarm message is sent to the patrol equipment to issue an alarm prompt. In this way, the activity time of the animal is determined by the activity pattern of the Beidou positioning of the animal, and the environmental data of the plant is analyzed through environmental detection. When the abnormal state of the animal and plant is detected, an alarm prompt is sent to the patrol officer, thereby improving the accuracy and timeliness of monitoring poaching and illegal logging incidents.

Description

Technical Field

[0001] The present application belongs to the field of information technology, and in particular, relates to a smart forest monitoring system, method and related devices. Background Art

[0002] With the rapid development of the times, poaching and illegal logging activities are covert and widespread, and law enforcement officers often find it difficult to obtain sufficient evidence to convict. Especially in remote areas, law enforcement forces are weak, making poaching and illegal logging more difficult to detect and stop in a timely manner.

[0003] The existing anti-poaching and illegal logging monitoring method is to scan the protected forest area with radar and other equipment, which cannot accurately locate abnormal situations such as poaching and illegal logging. There is no special protection measures for some rare wild animals and plants, and the anti-poaching and illegal logging effect is not ideal. Therefore, there is an urgent need for a timely and high-precision monitoring system and method to improve the protection effect of rare animals and plants. Summary of the invention

[0004] The embodiments of the present application provide a smart forest monitoring system, method and related devices, which determine the activity time of animals through the activity patterns of the animals' Beidou positioning, and analyze the environmental data of plants through environmental detection. When abnormal activities of animals and plants are detected, an alarm is sent to patrol officers, so that the patrol officers can promptly discover whether there are poaching and illegal logging incidents, thereby improving the accuracy and timeliness of monitoring poaching and illegal logging incidents.

[0005] In a first aspect, an embodiment of the present application provides a smart forest monitoring system, including: a server, a management center display device, a patrol device, an animal monitoring device, and a plant monitoring device; wherein the patrol device is a terminal device with a Beidou positioning function configured by a forest ranger, the animal monitoring device is installed at a target animal in the forest area, and the plant monitoring device is installed at a target plant in the forest area;

[0006] The server is used to process the received monitoring data and send the data processing results to the display device of the management center; and when the target animal or target plant indicated by the data processing results is abnormal, an alarm message is sent to the patrol equipment to give an alarm prompt;

[0007] Management center display device, used to display the data processing results of the server;

[0008] Patrol equipment, used to locate the ranger's position in real time and record the ranger's patrol trajectory;

[0009] Animal monitoring equipment, including infrared monitoring equipment, Beidou positioning tags configured for target animals, and voiceprint monitoring equipment, which are used to record the movement trajectory of target animals through infrared monitoring equipment and Beidou positioning tags, and send the movement trajectory to the server as monitoring data. The server analyzes the movement trajectory to determine the movement pattern of the target animal, and judges whether there is a poaching incident based on the movement pattern;

[0010] Plant monitoring equipment, including environmental detection sensors and status monitoring equipment installed on target plants, is used to monitor environmental data and plant status data in real time and send them to the server. The server analyzes the environmental data and plant status data. When an abnormal environmental event and / or illegal logging event is determined, patrol information is sent to the patrol equipment to dispatch forest rangers to perform patrol tasks.

[0011] In the second aspect, an embodiment of the present application provides a smart forest area monitoring method, which applies a server. The smart forest area monitoring system includes: a server, a management center display device, a patrol device, an animal monitoring device and a plant monitoring device, wherein the patrol device is a terminal device with a Beidou positioning function configured by a forest ranger, the animal monitoring device is installed at the target animal in the forest area, and the plant monitoring device is installed at the target plant in the forest area. The method includes: receiving monitoring data from the animal monitoring device and the plant monitoring device, the monitoring data from the animal monitoring device is used to characterize the movement trajectory of the target animal, and the monitoring data from the plant monitoring device is used to characterize the environmental data and plant status data of the target plant; sending the processing results of the monitoring data to the management center display device; and, when it is determined that there is an abnormality in the target animal or target plant based on the processing results, sending an alarm message to the patrol device to issue an alarm prompt.

[0012] On the third aspect, an embodiment of the present application provides a smart forest area monitoring device, which uses a server. The smart forest area monitoring system includes: a server, a management center display device, a patrol device, an animal monitoring device and a plant monitoring device, wherein the patrol device is a terminal device with a Beidou positioning function configured by a forest ranger, the animal monitoring device is installed at the target animal in the forest area, and the plant monitoring device is installed at the target plant in the forest area. The device includes: a receiving unit, a sending unit and an alarm unit; the receiving unit is used to receive monitoring data from the animal monitoring device and the plant monitoring device, the monitoring data from the animal monitoring device is used to characterize the movement trajectory of the target animal, and the monitoring data from the plant monitoring device is used to characterize the environmental data and plant status data of the target plant; the sending unit is used to send the processing results of the monitoring data to the management center display device; the alarm unit is used to send an alarm message to the patrol device and issue an alarm prompt when it is determined that there is an abnormality in the target animal or target plant based on the processing result.

[0013] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory; and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the processor, and the program includes instructions for some or all of the steps described in the first aspect or the second aspect of the embodiment of the present application.

[0014] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store a computer program, wherein the computer program enables a computer to execute instructions of some or all of the steps described in the first aspect or the second aspect of the embodiment of the present application.

[0015] In a sixth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect or the second aspect of the embodiment of the present application. The computer program product may be a software installation package.

[0016] It can be seen that the embodiment of the present application provides a smart forest monitoring system, method and related devices. The method first receives the monitoring data of animal monitoring equipment and plant monitoring equipment; then sends the processing results of the monitoring data to the display device of the management center; finally, when it is determined that the target animal or target plant is abnormal according to the processing results, an alarm message is sent to the patrol equipment to issue an alarm prompt. In this way, the activity time of the animal is determined by the activity pattern of the Beidou positioning of the animal, and the environmental data of the plant is analyzed through environmental detection. When abnormal activities of animals and plants are detected, an alarm prompt is sent to the patrol officer, thereby improving the accuracy and timeliness of monitoring poaching incidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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 will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is a schematic diagram of the architecture of a smart forest monitoring system provided by an embodiment of the present application;

[0019] Figure 2 This is a specific flow chart for analyzing animal behavior patterns provided by an embodiment of the present application;

[0020] Figure 3 It is a schematic diagram of a motion trajectory provided in an embodiment of the present application;

[0021] Figure 4 is another motion trajectory schematic diagram provided in an embodiment of the present application;

[0022] Figure 5 A navigation route indication map provided in an embodiment of the present application;

[0023] Figure 6 It is a flowchart of a smart forest area monitoring method provided in an embodiment of the present application;

[0024] Figure 7 This is a functional unit composition block diagram of a smart forest monitoring device provided in an embodiment of the present application;

[0025] Figure 8 It is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0028] It should be understood that the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article indicates that the associated objects before and after are in an "or" relationship.

[0029] The "multiple" in the embodiments of the present application refers to two or more. The "connection" in the embodiments of the present application refers to various connection modes such as direct connection or indirect connection to achieve communication between devices, and the embodiments of the present application do not make any limitation on this.

[0030] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0031] With the rapid development of the times, poaching and logging activities are hidden and widespread, and law enforcement officers often find it difficult to obtain sufficient evidence to convict, especially in remote areas where law enforcement is weak, making poaching and logging more difficult to detect and stop in a timely manner. The existing anti-poaching and logging monitoring method uses radar and other equipment to conduct large-scale scanning of protected forest areas, which cannot accurately locate abnormal situations such as poaching and logging incidents. No special protection measures have been taken for some rare wild animals and plants, and the anti-poaching and logging activities are not ideal. Therefore, there is an urgent need for a timely and high-precision monitoring system and method to improve the protection effect of rare animals and plants.

[0032] In response to the above-mentioned problems, the embodiments of the present application provide a smart forest monitoring system, method and related devices, which determine the activity time of animals through the activity patterns of the animals' Beidou positioning, and analyze the environmental data of the plants through environmental detection. When abnormal activities of animals and plants are detected, an alarm is sent to patrol officers, thereby improving the accuracy and timeliness of monitoring poaching and logging incidents.

[0033] Please refer to Figure 1 , Figure 1 is a schematic diagram of the architecture of a smart forest monitoring system provided by an embodiment of the present application, such as Figure 1 As shown, the forest monitoring system 100 includes a server 110, a management center display device 120, a patrol device 130, an animal monitoring device 140 and a plant monitoring device 150; wherein the patrol device 130 is a terminal device with a Beidou positioning function configured by the forest ranger, the animal monitoring device 140 is installed at the target animal in the forest area, and the plant monitoring device 150 is installed at the target plant in the forest area.

[0034] The server 110 is used to process the received monitoring data and send the data processing results to the management center display device 120; and when the target animal or target plant indicated by the data processing results is abnormal, an alarm message is sent to the patrol device to give an alarm prompt. The monitoring data includes the first monitoring data sent by the animal monitoring device and the second monitoring data sent by the plant monitoring device. The server 110 analyzes in real time whether the target animal and the target plant are in an abnormal state based on the first monitoring data and the second monitoring data, such as the target animal moving speed exceeds the average speed, the target plant has a large-scale displacement, etc., and sends an alarm message to the patrol device 130 when an abnormal state exists.

[0035] The management center display device 120 is used to display the data processing results of the server 110. The management center display device 120 can be a large display screen, which is used to display the monitoring conditions of various areas of the forest farm and display the on-site conditions on the large screen in real time, so that the operation and maintenance personnel of the management center can understand the current situation in the forest area.

[0036] The patrol equipment 130 is used to locate the position of the forest ranger in real time and record the patrol track of the forest ranger. The forest ranger is a person who is equipped with the patrol equipment 130 and is responsible for patrolling the forest area. The patrol equipment includes but is not limited to Beidou watches, Beidou boxes, and handheld terminal devices with Beidou positioning, short message interaction, navigation, track calibration and other functions.

[0037] The animal monitoring device 140 includes an infrared monitoring device, a Beidou positioning tag configured for the target animal, and a voiceprint monitoring device. It is used to record the movement trajectory of the target animal through the infrared monitoring device and the Beidou positioning tag, and send the movement trajectory to the server 110 as monitoring data. The server 110 analyzes the movement trajectory to determine the movement pattern of the target animal, and determines whether there is a poaching incident based on the movement pattern.

[0038] The plant monitoring device 150 includes an environmental detection sensor and a status monitoring device installed on the target plant, which is used to monitor environmental data and plant status data in real time and send them to the server 110. The server 110 analyzes the environmental data and plant status data. When an abnormal environmental event and / or illegal logging event is determined, patrol information is sent to the patrol equipment 130 to dispatch forest rangers to perform patrol tasks.

[0039] In a possible example, in terms of analyzing the action trajectory to determine the action pattern of the target animal, the server 110 specifically performs the following steps: Figure 2 Middle method, Figure 2 This is a specific flow chart for analyzing animal behavior patterns provided by the embodiment of the present application. Figure 2 As shown, the server 110 performs the following steps:

[0040] S210, within a statistical period, counting the action data set of the target animal at preset intervals.

[0041] Among them, the action data set includes action trajectory and action range.

[0042] Specifically, the preset interval may be 8 hours, 12 hours, 24 hours, etc. depending on the type of animal. For example, for an animal that sleeps once a day, the preset interval is determined to be one day, which makes it easier to grasp the daily activity pattern of the target animal.

[0043] S220, judging the action type of the target animal according to the action data set.

[0044] Among them, action types include: sleeping, hunting, and leisure activities.

[0045] Specifically, in determining the action type of the target animal according to the action data set, the server is specifically used to:

[0046] Determine the distribution of action trajectories; see Figure 3 , Figure 3 is a schematic diagram of an action trajectory provided in an embodiment of the present application, such as Figure 3 As shown, the system application diagram of the smart forest monitoring system includes a status display area 310, which displays the movement trajectory if the monitored object is a target animal, and displays plant environment-related data if the monitored object is a plant. The range switching area 320 includes a display of the forest areas nationwide where the system is installed, the range of the forest area in this example, and the monitoring object can be switched. Operation bar 1 330 can be used to select the monitoring time period of the target animal and display the movement trajectory within the time period. Operation bar 2 340 can be used to switch the 2D / 3D display state of the displayed map, and to zoom in / out the map display. If the movement trajectory is as shown in the status display area 310, indicating that the target animals are concentrated in a fixed area and have not changed within the first time period, it is determined that the movement type of the target animals within the first time period is sleep, and the first time period is determined by the species type of the target animal; please refer to Figure 4 , Figure 4 It is another action trajectory diagram provided in an embodiment of the present application. If the distribution of the action trajectory is as shown in trajectory 410, which is dispersed and covers a large action range, the action type is determined to be a leisure activity; if the distribution of the action trajectory is concentrated, the action type is determined to be predation.

[0047] S230, establishing an association relationship between the action type and the specific time period that determines the action type.

[0048] The association relationship may be that the target animal hunts and eats at 10 a.m., performs leisure activities, patrols the territory, etc. at 3 p.m., and sleeps at 9 p.m.

[0049] S240, determining the action pattern of the target animal according to the association relationship.

[0050] It can be seen that in this application, the target animal's action data set is counted at preset intervals within a statistical period, and then the action type of the target animal is determined based on the action data set; the action type is associated with the specific time period for determining the action type, and finally the action pattern of the target animal is determined based on the association. In this way, the target animal's activity pattern can be accurately determined based on its action trajectory, so that the animal's abnormal state can be determined based on the activity pattern.

[0051] In other possible examples, server 110 is also specifically used to: if it is detected that there is an abnormal activity duration in a specific time period corresponding to the action type, then determine that the movement state of the target animal is abnormal, and the abnormal activity duration includes at least one of the following: a single sleep duration is greater than a first duration, a single predation duration is less than a second duration, and a single leisure activity duration is less than a third duration; execute an early warning processing plan for abnormal movement status.

[0052] Among them, according to the type of target animal, the corresponding first duration, second duration and third duration are determined. For animals with longer sleep durations, such as sloths, a single sleep duration is 15 to 20 hours, so the first duration corresponding to the sloth is determined to be 15-20 hours, while the first duration corresponding to animals with normal sleep duration is about 8-10 hours; if it is detected that the sloth's sleep time exceeds 20 hours, reaching more than 25 hours, it is determined that the sloth's movement state is abnormal, and it may be injured, dead, or poached by criminals.

[0053] It can be seen that in this example, the server detects that there is an abnormal activity duration in the specific time period corresponding to the action type, and then determines that the target animal's movement state is abnormal; and executes the early warning processing plan for abnormal movement state. In this way, the abnormal movement state is judged according to the animal's action type, reducing the risk of misjudgment and improving the accuracy and timeliness of monitoring poaching incidents.

[0054] In one possible example, in terms of executing an early warning processing solution for abnormal motion status, the server is specifically used to: obtain image information and audio information of the target animal through infrared monitoring equipment and voiceprint monitoring equipment in the animal monitoring equipment; perform data analysis on the image information and audio information to determine whether the target animal has been poached; if there is a risk of poaching, determine the real-time positioning information of multiple rangers; among the multiple real-time positioning information, determine the ranger who is closest to the target animal as the target ranger, and send an alarm message to the patrol equipment of the target ranger, the alarm information includes the location information of the target animal and the navigation route, the navigation route uses the location of the target animal as the target location, and automatically avoids the locations of other animals in the forest area.

[0055] Among them, multiple forest rangers are distributed in various areas of the forest during the patrol period. The server connects with the patrol equipment to determine the one or two rangers closest to the target animal and goes to the location of the target animal for further monitoring. The alarm information is used to instruct the target ranger to conduct field surveys to further confirm whether poaching has occurred, thereby improving the accuracy of monitoring poaching incidents.

[0056] It can be seen that in this example, the infrared monitoring equipment and voiceprint monitoring equipment in the animal monitoring equipment are used to obtain the image information and audio information of the target animal; data analysis is performed on the image information and audio information to determine whether the target animal has been poached; if there is a risk of poaching, the real-time positioning information of multiple rangers is determined; among the multiple real-time positioning information, the ranger closest to the target animal is determined as the target ranger, and an alarm message is sent to the patrol equipment of the target ranger. In this way, based on the judgment made by the equipment, the ranger is further notified to go to the location of the target animal for on-site monitoring, which reduces the risk of misjudgment of poaching incidents and improves the reliability and efficiency of monitoring poaching incidents.

[0057] In one possible example, after sending an alarm message to the patrol equipment of a target ranger, the server is specifically used to: if the position of the target animal is monitored to move, instruct the target ranger to go to the original position of the target animal, where the original position refers to the position of the target animal before the movement is sent; send a prompt message to the target ranger, where the prompt message is used to instruct the target ranger to determine whether there are any signs of poaching at the original position of the target animal. If so, the target ranger is instructed to issue an alarm; if not, the target ranger is instructed to feedback a cancellation alarm message to cancel the alarm status. The signs of poaching include bloodstains, indentations, claw marks, and dragging marks.

[0058] Among them, the target ranger is instructed to go to the original location of the target animal to instruct the target ranger to judge whether there are signs of fighting, violent capture, escape, etc. based on the traces at the scene. If not, it is judged that no poaching has occurred, and the ranger sends a cancellation alarm message to the server through the patrol equipment to eliminate the risk; if there are obvious bloodstains, dragging marks, struggle marks, etc., it is determined that poaching has occurred and feedback is sent to the server in time; the subsequent server tracks the location of the target animal in real time based on the Beidou positioning tag of the target animal, and executes the alarm operation at the same time, and cracks down on poaching gangs through relevant agencies.

[0059] It can be seen that in this example, by monitoring the movement of the target animal's position, the target ranger is instructed to go to the original position of the target animal and send a prompt message to the target ranger. The prompt message is used to instruct the target ranger to determine whether there are signs of poaching at the original position of the target animal. If there are signs of poaching, the target ranger is instructed to alarm. If not, the target ranger is instructed to feedback the alarm cancellation information to cancel the alarm state. In this way, based on the judgment of the equipment, the ranger is instructed to go to the original position of the target animal to determine the signs of poaching, reducing the risk of misjudgment of poaching incidents and improving the reliability and efficiency of monitoring poaching incidents.

[0060] In one possible example, in terms of sending alarm information to the patrol equipment of a target ranger, the server is specifically used to: determine the location of other animals, where other animals refer to animals other than the target animal in the forest area; generate a navigation route with the location of the target ranger as the starting point and the location of the target animal as the destination, while avoiding the location of other animals.

[0061] Among them, see Figure 5 , Figure 5 is a navigation route indication map provided by an embodiment of the present application, such as Figure 5 As shown, including the target ranger location 510, other animals 1 520, other animals 2 530, other animals 3 540, and the target animal location 550, a navigation route is planned based on the target ranger location 510 and the target animal location 550. If other animals are encountered, the living and activity areas of other animals are avoided based on factors such as the species characteristics and living range of other animals to avoid disturbing other animals in the target forest area.

[0062] It can be seen that in this example, by determining the location of other animals, taking the location of the target ranger as the starting point and the location of the target animal as the destination, and avoiding the location of other animals, a navigation route is generated. In this way, without affecting other animals in the forest area, the target ranger can be quickly and efficiently instructed to follow the best navigation route for monitoring.

[0063] like Figure 6 As shown, Figure 6It is a flow chart of a smart forest monitoring method provided by an embodiment of the present application. The method applies a server. The smart forest monitoring system includes: a server, a management center display device, a patrol device, an animal monitoring device and a plant monitoring device. The patrol device is a terminal device with a Beidou positioning function configured by a forest ranger. The animal monitoring device is installed at the target animal in the forest area, and the plant monitoring device is installed at the target plant in the forest area. The method includes the following steps:

[0064] S610, receiving monitoring data from animal monitoring equipment and plant monitoring equipment.

[0065] Among them, the monitoring data of the animal monitoring equipment is used to characterize the movement trajectory of the target animal, and the monitoring data of the plant monitoring equipment is used to characterize the environmental data and plant status data of the target plant.

[0066] S620, sending the processing result of the monitoring data to a display device in the management center.

[0067] S630, when it is determined according to the processing result that there is an abnormality in the target animal or target plant, an alarm message is sent to the patrol equipment to give an alarm prompt.

[0068] It can be seen that in this example, the activity time of the animals is determined through the activity patterns of the animals' Beidou positioning, and the environmental data of the plants is analyzed through environmental detection. When abnormal conditions of animals and plants are detected, an alarm is sent to patrollers, thereby improving the accuracy and timeliness of monitoring poaching and logging incidents.

[0069] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that in order to realize the above functions, the mobile electronic device includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiment provided in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0070] The embodiment of the present application can divide the electronic device into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0071] and Figure 6 For details, see Figure 7 , Figure 7 The present application embodiment provides a functional unit composition block diagram of a smart forest monitoring device, the device application server, the smart forest monitoring system includes: a server, a management center display device, a patrol device, an animal monitoring device and a plant monitoring device, wherein the patrol device is a terminal device with Beidou positioning function configured by the forest ranger, the animal monitoring device is installed at the target animal in the forest area, and the plant monitoring device is installed at the target plant in the forest area, such as Figure 7 As shown, the smart forest monitoring device 700 includes: a receiving unit 710, a sending unit 720 and an alarm unit 730; the receiving unit 710 is used to receive monitoring data from animal monitoring equipment and plant monitoring equipment, the monitoring data from the animal monitoring equipment is used to characterize the movement trajectory of the target animal, and the monitoring data from the plant monitoring equipment is used to characterize the environmental data and plant status data of the target plant; the sending unit 720 is used to send the processing results of the monitoring data to the management center display device; and the alarm unit 730 is used to send an alarm message to the patrol equipment to issue an alarm prompt when it is determined that there is an abnormality in the target animal or target plant based on the processing result.

[0072] In one possible example, the smart forest monitoring device 700 is used to: within a statistical period, count the target animal's action data set at preset intervals, the action data set includes the action trajectory and action range; determine the action type of the target animal based on the action data set, the action type includes: sleep, predation, leisure activities; establish an association relationship between the action type and the specific time period for determining the action type; determine the action pattern of the target animal based on the association relationship

[0073] In one possible example, in terms of determining the action type of the target animal based on the action data set, the smart forest monitoring device 700 is used to: determine the distribution of the action trajectory; if the action trajectory indicates that the target animals are concentrated in a fixed area and do not change within a first time period, then the action type of the target animal is determined to be sleep within the first time period, and the first time period is determined by the species type of the target animal; if the distribution of the action trajectory is dispersed and covers the action range, then the action type is determined to be a leisure activity; if the distribution of the action trajectory is concentrated, then the action type is determined to be predation.

[0074] In a possible example, the smart forest monitoring device 700 is also specifically used to: if it is detected that there is an abnormal activity duration in the specific time period corresponding to the action type, then determine that the movement state of the target animal is abnormal, and the abnormal activity duration includes at least one of the following: a single sleep duration is greater than the first duration, a single predation duration is less than the second duration, and a single leisure activity duration is less than the third duration; execute an early warning processing plan for the abnormal movement state.

[0075] In one possible example, in terms of executing an early warning solution for abnormal motion status, the smart forest monitoring device 700 is also specifically used to: obtain image information and audio information of the target animal through infrared monitoring equipment and voiceprint monitoring equipment in the animal monitoring equipment; perform data analysis on the image information and audio information to determine whether the target animal has been poached; if there is a risk of poaching, determine the real-time positioning information of multiple forest rangers; among the multiple real-time positioning information, determine the ranger closest to the target animal as the target ranger, and send an alarm message to the patrol equipment of the target ranger, the alarm information includes the location information of the target animal and the navigation route, the navigation route uses the location of the target animal as the target location, and automatically avoids the locations of other animals in the forest.

[0076] In one possible example, after sending an alarm message to the patrol equipment of the target ranger, the smart forest monitoring device 700 is specifically used to: if the position of the target animal is detected to have moved, instruct the target ranger to go to the original position of the target animal, where the original position refers to the position of the target animal before the movement; send a prompt message to the target ranger, where the prompt message is used to instruct the target ranger to determine whether there are any signs of poaching at the original position of the target animal. If so, instruct the target ranger to sound an alarm; if not, instruct the target ranger to feedback a cancellation alarm message to cancel the alarm state. The signs of poaching include bloodstains, indentations, claw marks, and dragging marks.

[0077] In one possible example, in terms of sending alarm information to the patrol equipment of the target forest ranger, the smart forest monitoring device 700 is also specifically used to: determine the location of other animals, other animals refer to animals other than the target animals in the forest area; use the location of the target forest ranger as the starting point, the location of the target animal as the destination, and avoid the location of other animals to generate a navigation route.

[0078] It can be understood that since the method embodiment and the device embodiment are different presentation forms of the same technical concept, the content of the method embodiment part in this application should be synchronously adapted to the device embodiment part and will not be repeated here.

[0079] Figure 8 is a structural block diagram of an electronic device provided in an embodiment of the present application. Figure 8 As shown, the electronic device 800 may include one or more of the following components: a processor 801, a memory 802 coupled to the processor 801, wherein the memory 802 may store one or more computer programs, and the one or more computer programs may be configured to implement the methods described in the above examples when executed by one or more processors 801. Figure 8 It can be the above Figure 1 The server 110 in FIG.

[0080] The processor 801 may include one or more processing cores. The processor 801 uses various interfaces and lines to connect the various parts of the entire electronic device 800, and executes various functions and processes data of the electronic device 800 by running or executing instructions, programs, code sets or instruction sets stored in the memory 802, and calling data stored in the memory 802. Optionally, the processor 801 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 801 can integrate one or more combinations of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU) and a modem. It is understandable that the above-mentioned modem may not be integrated into the processor 801, and may be implemented separately through a communication chip.

[0081] The memory 802 may include a random access memory (RAM) or a read-only memory (ROM). The memory 802 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 802 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method examples, etc. The data storage area may also store data created by the electronic device 800 during use, etc.

[0082] It is understandable that the electronic device 800 may include more or fewer structural elements than those in the above structural block diagram, for example, a power module, physical buttons, a WiFi (Wireless Fidelity) module, a speaker, a Bluetooth module, a sensor, etc., which are not limited here.

[0083] An embodiment of the present application also provides a computer storage medium, on which a computer program / instruction is stored. When the computer program / instruction is executed by a processor, part or all of the steps of any method recorded in the above method embodiments are implemented.

[0084] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute part or all of the steps of any method recorded in the above method embodiments.

[0085] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0086] In the several embodiments provided in the present application, it should be understood that the disclosed methods, devices and systems can be implemented in other ways. For example, the device embodiments described above are only schematic; for example, the division of units is only a logical function division, and there may be other division methods in actual implementation; for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0087] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0088] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may be physically included separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0089] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform some steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a volatile memory or a non-volatile memory. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM) or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (synchlink DRAM, SLDRAM) and direct memory bus random access memory (directrambus RAM, DR RAM) and other media that can store program code.

[0090] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions without departing from the spirit and scope of the present invention, and can make various changes and modifications, including the combination of the above-mentioned different functions and implementation steps, including software and hardware implementation methods, all of which are within the scope of protection of the present invention.

Claims

1. A smart forest monitoring system, characterized in that: include: Server, management center display device, patrol equipment, animal monitoring equipment and plant monitoring equipment; wherein the patrol equipment is a terminal device with Beidou positioning function configured by forest rangers, the animal monitoring equipment is installed at the target animal in the forest area, and the plant monitoring equipment is installed at the target plant in the forest area; The server is used to process the received monitoring data and send the data processing results to the management center display device; and when the target animal or the target plant indicated by the data processing results is abnormal, send an alarm message to the patrol device to give an alarm prompt; The management center display device is used to display the data processing result of the server; The patrol equipment is used to locate the position of the forest ranger in real time and record the patrol track of the forest ranger; The animal monitoring device includes an infrared monitoring device, a Beidou positioning tag configured for the target animal, and a voiceprint monitoring device, which is used to record the movement trajectory of the target animal through the infrared monitoring device and the Beidou positioning tag, and send the movement trajectory to the server as the monitoring data, and the server analyzes the movement trajectory to determine the movement pattern of the target animal, and judges whether there is a poaching incident according to the movement pattern; The plant monitoring equipment includes an environmental detection sensor and a status monitoring device installed on the target plant, which is used to monitor environmental data and plant status data in real time and send them to the server. The server analyzes the environmental data and the plant status data. When an abnormal environmental event and / or illegal logging event is determined, patrol information is sent to the patrol equipment to dispatch the forest ranger to perform patrol tasks.

2. The system according to claim 1, characterized in that In the aspect of analyzing the movement trajectory to determine the movement pattern of the target animal, the server is specifically used for: Within a statistical period, counting the action data set of the target animal at preset intervals, the action data set including the action trajectory and the action range; Determine the action type of the target animal according to the action data set, where the action type includes: sleeping, hunting, and leisure activities; Associating the action type with a specific time period that determines the action type; The action pattern of the target animal is determined according to the association relationship.

3. The system according to claim 2, characterized in that In the aspect of determining the action type of the target animal according to the action data set, the server is specifically used for: Determining the distribution of the action trajectories; If the movement trajectory indicates that the target animals are concentrated in a fixed area and do not change within a first time period, it is determined that the movement type of the target animals within the first time period is sleeping, and the first time period is determined by the species type of the target animals; If the distribution of the action trajectories is dispersed and covers the action range, then the action type is determined to be a leisure activity; If the distribution of the action trajectories is concentrated, it is determined that the action type is predation.

4. The system according to claim 3, characterized in that The server is also specifically used for: If it is detected that there is an abnormal activity duration in the specific time period corresponding to the action type, it is determined that the movement state of the target animal is abnormal, and the abnormal activity duration includes at least one of the following: a single sleep duration is greater than the first duration, a single predation duration is less than the second duration, and a single leisure activity duration is less than the third duration; Execute an early warning processing plan for the abnormal motion state.

5. The system according to claim 4, characterized in that In the aspect of executing the early warning processing scheme for the abnormal motion state, the server is specifically used for: Acquire image information and audio information of the target animal through the infrared monitoring device and the voiceprint monitoring device in the animal monitoring device; Performing data analysis on the image information and the audio information to determine whether the target animal has been poached; If there is a risk of poaching, determining real-time location information of a plurality of forest rangers; Among the multiple real-time positioning information, the forest ranger who is closest to the target animal is determined as the target ranger, and an alarm message is sent to the patrol equipment of the target ranger. The alarm message includes the location information of the target animal and the navigation route. The navigation route takes the location of the target animal as the target location and automatically avoids the locations of other animals in the forest area.

6. The system according to claim 5, characterized in that After sending the alarm information to the patrol equipment of the target forest ranger, the server is further used to: If the target animal is detected to have moved, the target ranger is instructed to go to the original position of the target animal, where the original position refers to the position of the target animal before the movement is sent; A prompt message is sent to the target ranger, wherein the prompt message is used to instruct the target ranger to determine whether there are any signs of poaching at the original location of the target animal. If yes, the target ranger is instructed to sound an alarm; if no, the target ranger is instructed to feedback a cancellation alarm message to cancel the alarm state, wherein the signs of poaching include: bloodstains, indentations, claw marks, and dragging marks.

7. The system according to claim 5 or 6, characterized in that: In the aspect of sending the alarm information to the patrol equipment of the target forest ranger, the server is specifically used for: Determine the location of the other animals, where the other animals refer to other animals in the forest area except the target animal; The navigation route is generated by taking the position of the target ranger as the starting point, taking the position of the target animal as the destination, and avoiding the positioning positions of other animals.

8. A smart forest monitoring method, characterized in that: The method applies a server, and the smart forest monitoring system includes: the server, a management center display device, a patrol device, an animal monitoring device, and a plant monitoring device, wherein the patrol device is a terminal device with a Beidou positioning function configured by a forest ranger, the animal monitoring device is installed at the target animal in the forest area, and the plant monitoring device is installed at the target plant in the forest area. The method includes: Receiving monitoring data from the animal monitoring device and the plant monitoring device, wherein the monitoring data from the animal monitoring device is used to characterize the movement trajectory of the target animal, and the monitoring data from the plant monitoring device is used to characterize the environmental data and plant status data of the target plant; Sending the processing results of the monitoring data to the management center display device; and, When it is determined according to the processing result that the target animal or the target plant is abnormal, an alarm message is sent to the patrol device to issue an alarm prompt.

9. A smart forest monitoring device, characterized in that: The device uses a server, and the smart forest monitoring system includes: the server, a management center display device, a patrol device, an animal monitoring device, and a plant monitoring device, wherein the patrol device is a terminal device with a Beidou positioning function configured by a forest ranger, the animal monitoring device is installed at the target animal in the forest area, and the plant monitoring device is installed at the target plant in the forest area. The device includes: a receiving unit, a sending unit, and an alarm unit; The receiving unit is used to receive monitoring data of the animal monitoring device and the plant monitoring device, wherein the monitoring data of the animal monitoring device is used to characterize the movement trajectory of the target animal, and the monitoring data of the plant monitoring device is used to characterize the environmental data and plant status data of the target plant; The sending unit is used to send the processing result of the monitoring data to the management center display device; The alarm unit is used to send alarm information to the patrol equipment to issue an alarm prompt when it is determined that the target animal or the target plant is abnormal based on the processing result.

10. An electronic device, characterized in that: The system comprises a processor and a memory, wherein the memory is used to store one or more programs and is configured to be executed by the processor, wherein the programs include instructions for executing the steps in the system or method according to any one of claims 1 to 8.

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