Wild animal online monitoring method and system based on satellite communication, electronic equipment and storage medium

Abstract

The invention discloses a wild animal on-line monitoring method based on satellite communication, which comprises the following steps: when an infrared sensor detects a signal, a camera module acquires current visual data, and a positioning module acquires spatio-temporal information; the main controller combines the spatio-temporal information and the current visual data into original monitoring data, and performs identification processing on the original monitoring data to obtain optimized data; calculating a transit time window of the next satellite according to the broadcasted satellite ephemeris data; the main controller sends the optimization data to a satellite through a satellite communication module in a transit time window; the satellite sends the optimization data to a ground gateway station; the ground gateway station sends the optimization data to a monitoring center server; the monitoring center server receives and analyzes the optimization data; and the mobile terminal obtains the data. According to the invention, efficient, accurate and intelligent wild animal data monitoring in a public network-free environment is realized. The invention further discloses a system for implementing the method, electronic equipment and a computer readable storage medium.

Description

Technical Field

[0001] This invention relates to the field of satellite data monitoring technology, and in particular to a method, system, electronic device, and storage medium for online monitoring of wild animals based on satellite communication. Background Technology

[0002] Existing wildlife monitoring equipment widely used in nature reserves (such as infrared cameras) mostly relies on local storage or public networks like 4G for data transmission. In areas lacking terrestrial communication network coverage, such as the core areas of national parks and remote nature reserves, a series of problems arise, including the inability to transmit monitoring data in a timely manner, insufficient equipment positioning accuracy, and a large volume of invalid data leading to a heavy workload for manual screening. This severely restricts the effectiveness of real-time wildlife monitoring, intelligent management, and protection.

[0003] The existing technology has the following drawbacks: (1) Traditional wildlife monitoring methods rely on manual patrols and fixed-point observations, which are inefficient and difficult to cover remote areas without public network signals, resulting in poor real-time monitoring data.

[0004] (2) Existing monitoring equipment cannot achieve real-time data transmission in the absence of a public network, which seriously restricts the timeliness and scientific nature of wildlife protection.

[0005] (3) The positioning accuracy of existing monitoring equipment is insufficient, making it difficult to accurately record the activity trajectory and habitat information of wild animals.

[0006] (4) Existing technologies lack intelligent data processing capabilities and cannot effectively filter and compress monitoring data, resulting in a waste of communication resources.

[0007] (5) The existing monitoring equipment has high power consumption and is difficult to ensure long-term stable operation in environments without public networks, which affects the continuity of monitoring work. Summary of the Invention

[0008] To address the aforementioned problems in the existing technology, this invention provides a method, system, electronic device, and storage medium for online monitoring of wildlife based on satellite communication. The technical problem to be solved by this invention is achieved through the following technical solution: The first aspect of this invention provides a method for online monitoring of wildlife based on satellite communication, comprising the following steps: The infrared sensor of the infrared image acquisition device sends the detected motion thermal radiation signal to the main controller; The main controller sends working instructions to the camera module of the infrared image acquisition device and obtains the spatiotemporal information of the infrared image acquisition device through the positioning module. The camera module of the infrared image acquisition device acquires current visual data; The main controller merges the spatiotemporal information and the current visual data into raw monitoring data, then identifies and classifies the species in the raw monitoring data, and preprocesses the visual data to obtain optimized data; The main controller controls the satellite communication module to receive broadcast satellite ephemeris data, then calculates the transit time window of the next available target communication satellite based on the satellite ephemeris data, and controls the satellite communication module to enter the working state before the transit time window arrives. Within the transit time window, the main controller transmits the optimized data to the available target communication satellite via the satellite communication module; The available target communication satellite will transmit the received optimized data to the ground gateway station; The ground gateway station will send the received optimized data to the monitoring center server; The monitoring center server receives and parses the optimized data, performs data processing on the optimized data, and obtains monitoring and parsing data. The mobile terminal acquires the monitoring and analysis data.

[0009] In one embodiment of the present invention, the spatiotemporal information includes: the acquisition time and geographic coordinates with sub-meter accuracy.

[0010] In one embodiment of the present invention, the step of identifying and classifying species from the original monitoring data, and preprocessing the visual data to obtain optimized data, includes: The main controller calls its own AI processing unit to identify whether the visual data of the original monitoring data is invalid; If so, then end the process; If not, the visual data is cropped, compressed, and redundant information is removed to obtain optimized visual data, which is then merged with the spatiotemporal information of the original monitoring data to form optimized data.

[0011] In one embodiment of the present invention, outside the transit time window, the main controller controls the satellite communication module and the infrared image acquisition device to enter sleep mode.

[0012] A second aspect of this invention provides a satellite communication-based online wildlife monitoring system, comprising: An infrared image acquisition device is used to send detected motion thermal radiation signals from the infrared sensor of the infrared image acquisition device to the main controller. The main controller is used to send working instructions to the camera module of the infrared image acquisition device and obtain the spatiotemporal information of the infrared image acquisition device through the positioning module. The infrared image acquisition device is also used for the camera module of the infrared image acquisition device to acquire current visual data; The main controller is also used to merge the spatiotemporal information and the current visual data into raw monitoring data, then identify and classify the species in the raw monitoring data, and preprocess the visual data to obtain optimized data; The main controller is also used to control the satellite communication module to receive broadcast satellite ephemeris data, then calculate the transit time window of the next available target communication satellite based on the satellite ephemeris data, and control the satellite communication module to enter the working state before the transit time window arrives; within the transit time window, the main controller sends the optimized data to the available target communication satellite through the satellite communication module; The available target communication satellite is used to transmit the received optimized data to the ground gateway station; The ground gateway station is used to send the received optimized data to the monitoring center server; The monitoring center server is used to receive and parse the optimized data, perform data processing on the optimized data, and obtain monitoring and parsing data. A mobile terminal is used to acquire the monitoring and analysis data.

[0013] In one embodiment of the present invention, the spatiotemporal information includes: the acquisition time and geographic coordinates with sub-meter accuracy.

[0014] In one embodiment of the present invention, the step of identifying and classifying species from the original monitoring data, and preprocessing the visual data to obtain optimized data, includes: The main controller calls its own AI processing unit to identify whether the visual data of the original monitoring data is invalid; If so, then end the process; If not, the visual data is cropped, compressed, and redundant information is removed to obtain optimized visual data, which is then merged with the spatiotemporal information of the original monitoring data to form optimized data.

[0015] In one embodiment of the present invention, outside the transit time window, the main controller controls the satellite communication module and the infrared image acquisition device to enter sleep mode.

[0016] A third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a satellite communication-based online wildlife monitoring method provided in the first aspect of the present invention.

[0017] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a satellite communication-based online wildlife monitoring method provided in the first aspect of the present invention.

[0018] The beneficial effects of this invention are: This invention, by integrating a satellite communication module, enables real-time data transmission in areas without public network coverage, significantly improving the timeliness and scientific rigor of monitoring data and overcoming the limitations of terrestrial network transmission. The invention also incorporates a high-precision navigation and positioning system module, effectively amplifying signals from navigation satellites and improving the accuracy of the geographical location of monitoring data, ensuring data accuracy and providing reliable support for recording wildlife activity trajectories and habitat information. Furthermore, the invention possesses computing power, enabling real-time intelligent data filtering and processing at the data acquisition terminal, automatically removing blank photos and invalid animal images, and transmitting valid monitoring data after compression, greatly saving satellite communication bandwidth and resources, making the communication process more efficient. Finally, the invention incorporates an intelligent power consumption management strategy, dynamically adjusting the power consumption mode according to environmental conditions, ensuring continuous operation of the equipment in harsh outdoor environments, increasing the flexibility and reliability of on-site monitoring, and solving the problems of high power consumption and difficulty in long-term stable operation of existing monitoring equipment.

[0019] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0020] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0021] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 A flowchart illustrating a satellite communication-based online wildlife monitoring method provided in an embodiment of the present invention; Figure 2 A flowchart illustrating another satellite communication-based online wildlife monitoring method provided in this embodiment of the invention; Figure 3 This is a schematic diagram of an online wildlife monitoring system architecture based on satellite communication, provided as an embodiment of the present invention. Detailed Implementation

[0022] The present invention will be further described in detail below with reference to specific embodiments, but the implementation of the present invention is not limited thereto.

[0023] like Figure 1 As shown, the first aspect of this invention provides a method for online monitoring of wild animals based on satellite communication, comprising the following steps: Step 10: The infrared sensor of the infrared image acquisition device sends the detected motion thermal radiation signal to the main controller.

[0024] Step 11: The main controller sends a working command to the camera module of the infrared image acquisition device and obtains the spatiotemporal information of the infrared image acquisition device through the positioning module.

[0025] Step 12: The camera module of the infrared image acquisition device acquires the current visual data.

[0026] Step 13: The main controller merges the spatiotemporal information and the current visual data into raw monitoring data, then identifies and classifies the species in the raw monitoring data, and preprocesses the visual data to obtain optimized data.

[0027] Step 14: The main controller controls the satellite communication module to receive the broadcast satellite ephemeris data, then calculates the transit time window of the next available target communication satellite based on the satellite ephemeris data, and controls the satellite communication module to enter the working state before the transit time window arrives.

[0028] Step 15: Within the transit time window, the main controller will send the optimized data to the available target communication satellites via the satellite communication module.

[0029] Step 16: The received optimized data can be transmitted to the ground gateway station using the target communication satellite.

[0030] Step 17: The ground gateway station sends the received optimization data to the monitoring center server.

[0031] Step 18: The monitoring center server receives and parses the optimization data, processes the optimization data, and obtains the monitoring analysis data.

[0032] Step 19: The mobile terminal acquires the monitoring and analysis data.

[0033] In this embodiment, an online monitoring method utilizing satellite communication and edge computing technologies to achieve real-time data transmission of wildlife monitoring data in environments without public network coverage solves the problem of real-time data transmission for wildlife monitoring in areas without any public network coverage, and improves the accuracy of the geographic location information attached to the monitoring data. Intelligent filtering and processing of monitoring data are implemented at the data acquisition terminal, eliminating invalid data and compressing valid data, greatly saving satellite communication resources; and intelligent power consumption management strategies extend the continuous working time of the equipment in harsh outdoor environments.

[0034] Based on the first aspect of the present invention, the second aspect of the present invention provides a more detailed description of an online monitoring method for wild animals based on satellite communication. The second aspect of the present invention provides an online monitoring method for wild animals based on satellite communication, comprising the following steps: Step S1: Sensing Trigger and Data Acquisition Step 20: The infrared sensor of the infrared image acquisition device sends the detected motion thermal radiation signal within the preset area to the main controller.

[0035] The system continuously monitors motion and thermal signals within a preset area using infrared sensors. When the infrared sensor detects motion and thermal radiation signals, it sends the detected signal to the main controller MCU. The infrared image acquisition device is an infrared sensor camera. Step 21: The main controller sends a working command to the camera module of the infrared image acquisition device, and the camera module of the infrared image acquisition device acquires the current visual data.

[0036] In this step, when the main controller MCU receives the transmitted motion thermal radiation signal, the main controller MCU sends a working command to the camera module. The camera module is then triggered and enters working mode from sleep mode. The main controller MCU controls the camera module to capture images or videos of the scene.

[0037] Step 22: The main controller obtains the spatiotemporal information of the infrared image acquisition device through the positioning module.

[0038] While the camera module is capturing images, the main controller (MCU) acquires precise spatiotemporal information from the GNSS positioning module. This information includes the acquisition time and geographic coordinates with sub-meter accuracy. Sub-meter accuracy refers to measurement precision down to the decimeter, centimeter, or millimeter level, typically indicating a resolution better than 1 meter.

[0039] Step 23: The main controller merges the spatiotemporal information and the current visual data into the raw monitoring data.

[0040] In this step, image / video visual data is bound to corresponding spatiotemporal information to generate raw monitoring data.

[0041] Step S2: Edge-side intelligent data processing and filtering: Step 24: The main controller calls the built-in AI processing unit to identify whether the visual data of the original monitoring data is invalid.

[0042] In this step, a deep learning image recognition algorithm is used to determine whether the captured content is invalid data (such as an empty scene without animals, or a false trigger caused by the swaying of branches and leaves).

[0043] If the data is invalid, the data packet is discarded and the process ends.

[0044] If the image is identified as a valid wildlife image, further species classification processing is performed, and the image is cropped and compressed for optimization. Redundant background is removed during preprocessing, and only the key areas containing the animal are retained to generate optimized visual data to be transmitted. The optimized visual data is then merged with the corresponding spatiotemporal information into optimized data to be transmitted.

[0045] Step S3: Low-power satellite communication scheduling: Step 25: The main controller controls the satellite communication module to receive broadcast satellite ephemeris data.

[0046] In this step, the satellite communication module is in sleep mode when not in use, and enters working mode periodically, for example, twice a week, with each session lasting a preset duration, such as 10 seconds. Pre-set ephemeris data is included during initialization; subsequent updates only require updating the ephemeris data and performing time alignment.

[0047] Step 26: The main controller calculates the transit time window of the next available target communication satellite based on satellite ephemeris data.

[0048] Step 27: The main controller controls the satellite communication module to enter the working state before the transit time window arrives.

[0049] During non-passage periods, the main controller puts the satellite communication module and infrared image acquisition device into a low-power sleep mode. Since the satellite communication module is generally in sleep mode and requires time to start up, a timer or interrupt signal wakes the module from sleep mode before the calculated satellite passage time arrives, preparing for data transmission. After waking up, the satellite communication module can update ephemeris data while transmitting data.

[0050] Step S4: Data is uploaded via satellite link: Step 28: Within the transit time window, the main controller will send the optimized data to the satellite payload of the available target communication satellite via the satellite communication module.

[0051] In this step, the target communication satellite can be a satellite in a low-Earth orbit satellite constellation. Besides optimizing data return within the transit time window, the following three tasks can also be performed: (1) Receive the ephemeris broadcast by the satellite and update the ephemeris data stored locally on the monitoring terminal; (2) Utilize the differential positioning capability of the integrated communication, navigation and remote sensing satellite constellation to update the spatial location of the monitoring terminal (supporting the high-precision location information in the optimized data); (3) Receive the timing service of the Beidou constellation and update the timing information of the monitoring terminal (supporting the time information in the optimized data).

[0052] Step 29: The satellite payload sends the received optimized data to the ground gateway station.

[0053] Step 30: The ground gateway station sends the received optimization data to the monitoring center server.

[0054] Step S5: Remote Data Display and Management Step 31: The monitoring center server receives and parses the stored optimization data, performs data processing on the optimization data, and obtains the monitoring parsing data.

[0055] In this step, the optimized data undergoes statistical analysis and other processing to form a monitoring and analysis database.

[0056] Step 32: The mobile terminal acquires the monitoring and analysis data.

[0057] Users can access the monitoring center server through a web client or mobile application to view monitoring and analysis data in real time, query historical data, and manage species statistics and analysis.

[0058] This embodiment proposes a complete methodology: "Edge-side perception triggering → AI intelligent screening → Low-power satellite scheduling → Remote transmission." This process systematically solves the end-to-end technical challenges of wildlife monitoring data collection and transmission in areas without public networks, rather than focusing solely on improvements to individual devices or modules. Satellite transit prediction and terminal sleep / wake-up mechanisms are deeply integrated into the methodology. The terminal only wakes up when satellites are available, remaining in deep sleep the rest of the time. This significantly reduces overall system power consumption and extends field operation time while maintaining communication capabilities. AI edge computing is used as a necessary pre-processing step for satellite transmission. By using a screening-then-transmission model, the amount of data requiring expensive satellite links is fundamentally reduced, saving costs and improving transmission efficiency. This is a key innovative approach to solving the bottleneck problem of satellite communication resources. The corresponding processing flowchart and system architecture diagram for this embodiment are shown below. Figure 2 and Figure 3 As shown, the monitoring terminal includes an infrared sensor camera, an MCU, a GNSS positioning module, and a satellite communication module.

[0059] Compared with the prior art, the present invention has the following beneficial effects: I. By integrating a satellite communication module, this invention enables real-time data transmission in areas without public network coverage, significantly improving the timeliness and scientific rigor of monitoring data and overcoming the limitations of terrestrial network transmission; II. The present invention incorporates a high-precision navigation and positioning system enhancement module, which effectively amplifies the signal from navigation satellites, improves the accuracy of the geographical location of monitoring data, ensures data accuracy, and provides reliable support for recording wildlife activity trajectories and habitat information; III. This invention possesses AI edge computing capabilities, enabling real-time intelligent data filtering and processing at the data acquisition terminal. It automatically removes empty photos and invalid animal images, and transmits valid monitoring data after compression, greatly saving satellite communication bandwidth and resources, making the communication process more efficient. IV. The present invention incorporates an intelligent power consumption management strategy, which dynamically adjusts the power consumption mode according to environmental conditions, ensuring the continuous working time of the equipment in harsh outdoor environments, increasing the flexibility and reliability of on-site monitoring, and solving the problems of high power consumption and difficulty in long-term stable operation of existing monitoring equipment; V. This invention integrates advanced technologies such as satellite communication, high-precision positioning, and AI edge computing to construct an efficient, accurate, and intelligent wildlife monitoring system, providing scientific basis and technical support for ecological protection.

[0060] A third aspect of this invention provides an online wildlife monitoring system based on satellite communication, comprising: An infrared image acquisition device is used to send detected motion thermal radiation signals from the infrared sensor of the infrared image acquisition device to the main controller. The main controller is used to send working instructions to the camera module of the infrared image acquisition device and to obtain the spatiotemporal information of the infrared image acquisition device through the positioning module. The infrared image acquisition device is also used by the camera module of the infrared image acquisition device to acquire current visual data; The main controller is also used to merge spatiotemporal information and current visual data into raw monitoring data, then identify and classify species from the raw monitoring data, and preprocess the visual data to obtain optimized data; The main controller is also used to control the satellite communication module to receive broadcast satellite ephemeris data, then calculate the transit time window of the next available target communication satellite based on the satellite ephemeris data, and control the satellite communication module to enter the working state before the transit time window arrives; within the transit time window, the main controller sends the optimized data to the available target communication satellite through the satellite communication module. The target communication satellite can be used to transmit the received optimized data to the ground gateway station; Ground gateway stations are used to send the received optimization data to the monitoring center server; The monitoring center server is used to receive and parse optimization data, process the optimization data, and obtain monitoring and parsing data. Mobile terminals are used to acquire and analyze monitoring data.

[0061] In one embodiment of the present invention, the spatiotemporal information includes: the acquisition time and geographic coordinates with sub-meter accuracy.

[0062] In one embodiment of the present invention, the raw monitoring data is identified and classified into species, and the visual data is preprocessed to obtain optimized data, including: The main controller calls its own AI processing unit to identify whether the visual data of the original monitoring data is invalid. If so, then end the process; If not, the visual data is cropped, compressed, and redundant information is removed to obtain optimized visual data, which is then merged with the spatiotemporal information of the original monitoring data to form optimized data.

[0063] In one embodiment of the present invention, outside of the transit time window, the main controller controls the satellite communication module and the infrared image acquisition device to enter sleep mode.

[0064] A fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-described method for online monitoring of wild animals based on satellite communication provided by the present invention.

[0065] A fifth aspect of the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method for online monitoring of wild animals based on satellite communication provided in the embodiments of the present invention.

[0066] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0067] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware devices.

[0068] The method provided in this invention can be applied to electronic devices. Specifically, the electronic device can be a desktop computer, a portable computer, a smart mobile terminal, a server, etc. No limitation is made herein; any electronic device that can implement this invention falls within the protection scope of this invention.

[0069] For system / electronic device embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be found in the description of the method embodiments.

[0070] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.

[0071] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including an instruction set implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0072] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0073] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for online monitoring of wild animals based on satellite communication, characterized in that, The method comprises the following steps: The infrared sensor of the infrared image acquisition device sends the detected motion heat radiation signal to the main controller; The main controller sends a working instruction to the camera module of the infrared image acquisition device and obtains the space-time information of the infrared image acquisition device through the positioning module; The camera module of the infrared image acquisition device collects current visual data; The main controller merges the space-time information and the current visual data into original monitoring data, then identifies and classifies the species of the original monitoring data, and pre-processes the visual data to obtain optimized data; The main controller controls the satellite communication module to receive broadcast satellite ephemeris data, then calculates the transit time window of the next available target communication satellite based on the satellite ephemeris data, and controls the satellite communication module to enter a working state before the transit time window arrives; Within the transit time window, the main controller sends the optimized data to the available target communication satellite through the satellite communication module; The available target communication satellite sends the received optimized data to the ground gateway station; The ground gateway station sends the received optimized data to the monitoring center server; The monitoring center server receives and analyzes the optimized data, and processes the data to obtain monitoring analysis data; The mobile terminal obtains the monitoring analysis data.

2. The method of claim 1, wherein, The space-time information comprises a collection time and sub-meter precision geographical coordinates.

3. The method of claim 1, wherein, The identification and species classification of the original monitoring data, and the pre-processing of the visual data to obtain optimized data comprise: The main controller calls the AI processing unit to identify whether the visual data of the original monitoring data is invalid data; If yes, the processing is ended; If not, the visual data is cropped, compressed and processed to remove redundant information to obtain optimized visual data, which is merged with the space-time information of the original monitoring data to obtain optimized data.

4. The method of claim 1, wherein, Outside the transit time window, the main controller controls the satellite communication module and the infrared image acquisition device to enter a sleep mode.

5. A satellite communication based online monitoring system for wild animals, characterized in that, The method comprises: The infrared image acquisition device is used to send the detected motion heat radiation signal to the main controller; The main controller is used to send a working instruction to the camera module of the infrared image acquisition device and obtain the space-time information of the infrared image acquisition device through the positioning module; The infrared image acquisition device is also used for the camera module of the infrared image acquisition device to collect current visual data; The main controller is also used to merge the space-time information and the current visual data into original monitoring data, then identify and classify the species of the original monitoring data, and pre-process the visual data to obtain optimized data; The main controller is further configured to control the satellite communication module to receive broadcast satellite ephemeris data, and then calculate a transit time window of a next available target communication satellite based on the satellite ephemeris data, and control the satellite communication module to enter an active state before the transit time window arrives; and during the transit time window, the main controller sends the optimized data to the available target communication satellite through the satellite communication module. The available target communication satellite is configured to send the received optimized data to a ground gateway station. The ground gateway station is configured to send the received optimized data to a monitoring center server. The monitoring center server is configured to receive and analyze the optimized data, and perform data processing on the optimized data to obtain monitoring analysis data. A mobile terminal is configured to obtain the monitoring analysis data.

6. The system of claim 5, wherein, The space-time information includes a collection time and a geographic coordinate with sub-meter accuracy.

7. The system of claim 5, wherein, The identification and species classification of the original monitoring data, and the preprocessing of the visual data to obtain optimized data, include: The main controller calls an AI processing unit of the main controller to identify whether the visual data of the original monitoring data is invalid data; If yes, the processing is ended; If no, the visual data is cropped, compressed, and processed to remove redundant information to obtain optimized visual data, and the space-time information of the original monitoring data is merged into the optimized data.

8. The system of claim 5, wherein, Outside the transit time window, the main controller controls the satellite communication module and the infrared image acquisition device to enter a sleep mode.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the satellite communication-based online wild animal monitoring method according to any one of claims 1 to 4.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the satellite communication-based online wild animal monitoring method according to any one of claims 1 to 4.

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