A human activity supervision system for nature reserves

Abstract

The present invention discloses a monitoring system for human activities in nature reserves, specifically related to the field of energy charging technology. S1: By installing sensors and data acquisition devices on each charging terminal, the charging status such as the power, voltage, and current of each terminal is monitored in real time. S2: The monitoring data of each charging terminal is transmitted to the central control unit using wireless networks and wired connections. The central control unit centrally receives the data of all terminals and conducts unified management and processing. S3: An intelligent algorithm is run in the central control unit to comprehensively analyze and calculate the power requirements of all terminals, and dynamically adjust and allocate power resources, enabling the system to adapt to changing charging demands and environments, and ensuring the stability and safety of the charging process. In addition, the application of the PID controller makes the power distribution process smoother and more efficient, further improving the performance and reliability of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of energy charging, and more specifically, to a supervision system for human activities in nature reserves. Background Art

[0002] As the core areas of ecosystems, nature reserves shoulder the important responsibilities of protecting biodiversity and maintaining ecological balance. However, in recent years, with the frequent interference of human activities, nature reserves are facing increasingly serious threats. Destructive activities such as illegal hunting, logging, and mining are common in many protected areas, which not only damage the ecological environment but also threaten the survival of rare plants and animals. These illegal activities are usually highly concealed and sudden, posing great challenges to monitoring work. First of all, illegal hunting is one of the main threats faced by nature reserves. Hunters usually choose to act at night and early in the morning to avoid monitoring and patrols. This not only causes a sharp decline in the number of wild animals but also disrupts the stability of the ecological chain. Certain rare species, such as tigers, elephants, and rhinos, are even more targeted by hunters due to their high economic value. These hunting behaviors not only increase the risk of species extinction but also damage the diversity and balance of the ecosystem. Secondly, illegal logging activities also seriously threaten the ecological environment of nature reserves. Illegal loggers usually choose to carry out logging activities in remote and difficult-to-monitor areas, even at night, to avoid being discovered and traced. Illegal logging leads to a decrease in forest coverage, destroys the habitats of plants and animals, and thus affects the stability of the entire ecosystem. In addition, illegal logging may also trigger a series of environmental problems, such as soil erosion and floods, which have a serious impact on the local ecological environment and residents' lives. Moreover, the damage caused by illegal mining activities to nature reserves cannot be underestimated. Illegal mining not only destroys surface vegetation, causes soil erosion and land degradation, but also may trigger geological disasters, threatening the lives and property safety of surrounding residents. At the same time, pollutants such as wastewater, waste gas, and waste residue generated during the mining process seriously pollute water sources and soil, causing long-term and irreversible damage to the ecological environment. Facing these illegal activities, traditional monitoring methods seem inadequate. The existing monitoring technologies for nature reserves mainly rely on traditional cameras and sensors, which are usually installed in fixed positions to monitor specific areas. However, this monitoring method has significant limitations. First of all, the monitoring range of fixed cameras is limited and cannot cover the entire protected area. Protected areas are usually vast in area and complex in terrain, and it is difficult for a single type of monitoring device to achieve full coverage, resulting in monitoring blind spots and allowing illegal activities to take advantage. Moreover, in the dark and low-light environments, the monitoring effect of ordinary cameras is greatly reduced. Traditional cameras have poor imaging quality in low-light conditions and are difficult to clearly capture the details of illegal activities, resulting in blind spots and loopholes in night monitoring.In addition, existing monitoring systems lack flexibility and mobility and are unable to respond quickly to emergencies; illegal activities are highly concealed and mobile, and it is difficult for fixed monitoring devices to detect and track these activities in a timely manner; moreover, existing monitoring systems usually lack the ability to process and analyze data and are unable to effectively analyze and process the large amounts of data collected, resulting in information lag and making it difficult to give early warnings and responses in a timely manner; the monitoring devices in the protected area generate a large amount of video and sensor data every day. How to quickly process and analyze this data and identify potential threats is a huge challenge; in addition, the communication infrastructure in the protected area is usually relatively backward, with slow data transmission speed and poor reliability, making it difficult to meet the needs of real-time monitoring. Existing wireless communication technologies perform poorly under long-distance and complex terrain conditions, and problems such as signal interruption and data loss are likely to occur during data transmission, affecting the monitoring effect and the accuracy of data; furthermore, nature reserves are usually located in remote areas with insufficient and unstable power supply. Traditional monitoring devices rely on external power sources and it is difficult to achieve continuous operation; harsh environmental conditions and climate change also pose challenges to the power supply and maintenance of the devices.

[0003] Therefore, there is an urgent need for a reliable energy solution to ensure the continuous and stable operation of the monitoring system. Facing the above-mentioned various challenges, existing monitoring methods can no longer meet the management needs of nature reserves. Summary of the Invention

[0004] To overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a supervision system for human activities in nature reserves. The supervision system for human activities in nature reserves has achieved an overall improvement in aspects such as real-time monitoring, data processing and transmission, system power supply and communication guarantee, effectively solved the deficiencies in the prior art, and significantly improved the monitoring and management capabilities of the protected area. The system enables the real-time collection, transmission and processing of data through the collaborative work of different types of sensors and devices, can detect and respond to illegal activities in a timely manner, and effectively protects the ecological environment of nature reserves.

[0005] To achieve the above object, the present invention provides the following technical solution: A supervision system for human activities in nature reserves, the operation of the supervision system includes the following steps:

[0006] S1: Install high-definition cameras, infrared sensors, drones and sound sensors at key positions in the protected area to achieve round-the-clock monitoring;

[0007] S2: Deploy edge computing nodes near the monitoring devices to perform data filtering, compression and pre-analysis, reducing the amount of data transmission and latency;

[0008] S3: Encrypt and transmit the processed data through wireless and satellite communication modules to ensure the security of the data during transmission;

[0009] S4: The central server receives data from edge nodes and performs in-depth analysis and storage through a big data platform and an AI unit;

[0010] S5: A solar power supply system and backup batteries are used to provide continuous power, and environmental sensors monitor the protected area environment in real time.

[0011] In a preferred embodiment: In step S1, when the monitoring area is in a well-lit daytime environment, a high-definition camera is used to monitor human activities by capturing high-resolution images. The high-definition monitoring camera converts the optical signal into an electrical signal through CMOS and CCD image sensors to generate high-resolution images: , where is the generated image, is the spectral response of the camera, is the light source spectrum, is the scene spectral reflectance;

[0012] When the monitoring area is at night and in a low-light environment, an infrared sensor is used to detect temperature changes and moving objects. The infrared sensor detects changes in infrared radiation through the pyroelectric effect and generates an electrical signal: , where is the output voltage, is the gain of the sensor, is the target temperature change, is the ambient temperature change;

[0013] In addition, drones are used to cover a wide area. The drones provide lift and propulsion through multi-rotors and capture video and sensor data: ; where is the total lift, is the thrust coefficient, is the rotational speed of each rotor; A sound sensor is used to detect abnormal sounds and converts sound waves into electrical signals through a microphone: , where is the output voltage, is the sensor gain, is the sound pressure;

[0014] In a preferred embodiment: In step S2, the edge computing node reduces transmission latency and data volume by performing preliminary data processing, and filters, compresses, and pre-analyzes the data: , where is the data after edge computing, is the edge computing processing function, is the original data.

[0015] In a preferred embodiment: In step S3, the wireless communication module realizes real-time data transmission in an area covered by the network and transmits data through the 5G network: , where is the received power, is the transmitted power, is the transmitting antenna gain, is the receiving antenna gain, is the path loss, is other losses; The satellite communication device refers to realizing data transmission in remote and network-uncovered areas and transmitting data through satellite relay: , where is the free space path loss, and the free space path loss calculation is expressed as: , where is the distance, is the frequency, is the speed of light; The data encryption device refers to ensuring the security of data transmission and encrypting the data: , where is the ciphertext, is the encryption algorithm, is the plaintext, is the encryption key.

[0016] In a preferred embodiment: In step S4, the central server performs in-depth processing and analysis on the data and conducts in-depth analysis and storage through the big data processing platform and the artificial intelligence processing unit: , where is the processed data, is the processing function of the central server; The big data processing platform conducts distributed processing and storage of large-scale data, shards the data and distributes it to multiple nodes for parallel processing: , where is the data after distributed processing, is the th node's processing function, is the data distributed to the th node; The artificial intelligence processing unit conducts intelligent analysis on the data and performs pattern recognition, behavior prediction and anomaly detection through deep learning algorithms: , where is the data after AI processing, is the activation function, is the weight matrix, is the input data, is the bias.

[0017] In a preferred embodiment: In step S5, the solar power supply system refers to providing continuous power to ensure the operation of the monitoring device, converting light energy into electrical energy: , where is the solar output power, is the conversion efficiency, is the area of the solar panel, is the light intensity; the backup battery refers to providing power guarantee under the condition of no light: , where is the electrical energy stored in the backup battery, is the battery capacity, is the voltage; the remote control terminal: provides a user interface for the management personnel to remotely monitor and manage the device: , where is the input of the control interface, is the interface processing function, is the user input, and the environmental monitoring sensor: real-time monitors environmental parameters such as air quality, temperature, and humidity in the protected area: , where is the environmental sensor data, is the temperature, is the humidity, is the air quality.

[0018] The technical effects and advantages of the present invention: Through the above solutions, the natural protected area human activity supervision system has achieved a comprehensive improvement in aspects such as real-time monitoring, data processing and transmission, system power supply and communication guarantee, effectively solved the deficiencies in the prior art, and significantly improved the monitoring and management capabilities of the protected area. The system realizes the real-time collection, transmission and processing of data through the collaborative work of different types of sensors and devices, can detect and respond to illegal activities in a timely manner, and effectively protects the ecological environment of the natural protected area. Brief Description of the Drawings

[0019] Figure 1 is a schematic diagram of the working steps of the present invention. Detailed Embodiments

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] Example embodiments will now be described more fully with reference to the accompanying drawings. A human activity supervision system for nature reserves, the protection method includes the following steps: S1: Install high-definition cameras, infrared sensors, drones, and sound sensors at key positions in the reserve to achieve round-the-clock monitoring;

[0022] S2: Deploy edge computing nodes near the monitoring devices to perform data filtering, compression, and pre-analysis, reducing data transmission volume and latency;

[0023] S3: Encrypt and transmit the processed data through wireless and satellite communication modules to ensure the security of the data during transmission;

[0024] S4: The central server receives the data from the edge nodes and performs in-depth analysis and storage through the big data platform and the AI unit;

[0025] S5: Use a solar power supply system and backup batteries to provide continuous power, and environmental sensors monitor the reserve environment in real time; In step S1, when the monitoring area refers to a well-lit daytime environment, a high-definition camera is used to monitor human activities by capturing high-resolution images. The high-definition monitoring camera converts the optical signal into an electrical signal through CMOS and CCD image sensors to generate high-resolution images: , where is the generated image, is the spectral response of the camera, is the light source spectrum, is the scene spectral reflectance;

[0026] When the monitoring area is a night-time and low-light environment, an infrared sensor is used to detect temperature changes and moving objects. The infrared sensor detects changes in infrared radiation through the pyroelectric effect and generates an electrical signal: , where is the output voltage, is the gain of the sensor, is the target temperature change, is the environmental temperature change;

[0027] In addition, drones are used to cover a wide area. The drones provide lift and propulsion through multi-rotors and capture video and sensor data: ; where is the total lift, is the thrust coefficient, is the rotational speed of each rotor; The sound sensor is used to detect abnormal sounds and converts sound waves into electrical signals through a microphone: , where is the output voltage, is the sensor gain, is the sound pressure; the monitoring device module includes a high-definition monitoring camera, an infrared sensor, a drone, and a sound sensor. These devices work together to provide round-the-clock and all-round monitoring.

[0028] The high-definition monitoring camera is installed at key locations in the protected area and captures real-time videos and images through a high-resolution imaging sensor. These image data are converted from optical signals to electrical signals by optoelectronic conversion devices, and then processed and encoded by an image processing unit, and finally transmitted to the monitoring center in real time through a wireless communication module. The high-definition monitoring camera can provide clear and detailed images during the day and in well-lit environments, helping managers to monitor the activities in the protected area in real time. The infrared sensor is used to monitor human activities at night and in low-light environments. It works based on the pyroelectric effect and generates an electrical signal when detecting changes in infrared radiation. The infrared sensor can detect temperature changes and moving objects, making it an effective complement to the high-definition monitoring camera in low-light environments. Installed at key locations in the protected area, the infrared sensor can detect illegal activities at night in a timely manner, such as poaching and illegal logging. The drone is used to monitor a wide area, especially those places that are difficult to reach. The drone is equipped with a high-definition camera and an infrared sensor, can patrol in the air, and transmit the collected video and sensor data back to the monitoring center in real time. The drone provides lift and propulsion through multi-rotors, has high mobility and flexibility, and can quickly respond and cover a large area. The use of the drone greatly improves the monitoring range and flexibility of the system and can effectively deal with complex terrains and vast areas. The sound sensor is used to detect abnormal sounds in the protected area, such as the sounds of illegal logging, vehicles, and human activities. The sensor converts sound waves into electrical signals, analyzes the sound characteristics through a data processing unit, identifies abnormal situations, and issues alarms and records in real time. These sound sensors are installed at various key locations in the protected area, can monitor various abnormal sound activities, and provide an additional means of perception for the monitoring system. By comprehensively using the high-definition monitoring camera, infrared sensor, drone, and sound sensor, the monitoring device module achieves round-the-clock and all-round monitoring. The high-definition monitoring camera provides high-resolution real-time images during the day, the infrared sensor detects temperature changes at night and in low-light environments, the drone covers a wide area and conducts aerial patrols, and the sound sensor detects abnormal sound activities. The linkage of various devices enables the system to monitor human activities in the nature reserve in real time, detect and respond to illegal activities in a timely manner, and effectively protect the ecological environment. The system ensures the real-time collection, transmission, and processing of data through the coordinated work of different types of sensors and devices, significantly improving the monitoring coverage and effect.

[0029] In addition, in step S2, the edge computing node reduces the transmission delay and data volume by performing preliminary data processing, and filters, compresses, and pre-analyzes the data: , where, is the data after edge computing, is the edge computing processing function, is the original data;

[0030] In step S4, the central server performs in-depth processing and analysis on the data, and conducts in-depth analysis and storage through the big data processing platform and the artificial intelligence processing unit: , where, is the processed data, is the processing function of the central server; the big data processing platform distributes and stores large-scale data by performing distributed processing and storage of large-scale data, and slices and distributes the data to multiple nodes for parallel processing: , where, is the data after distributed processing, is the processing function of the th node, is the data distributed to the th node; the artificial intelligence processing unit performs intelligent analysis on the data, and conducts pattern recognition, behavior prediction and anomaly detection through deep learning algorithms: , where, is the activation function, is the weight matrix, is the input data, is the bias;

[0031] The data processing device module includes edge computing nodes, a central server, a big data processing platform and an artificial intelligence processing unit. These devices work together to efficiently process and analyze the collected data. The edge computing nodes are located near the monitoring devices and are responsible for performing preliminary processing on the collected data, such as filtering, compression and pre-analysis. The edge computing nodes perform preliminary processing at the data collection end, which can reduce the data transmission volume and latency, and improve the efficiency and real-time performance of data processing.

[0032] Through the preprocessing of edge computing nodes, the system can quickly respond to and process a large amount of data locally, reducing the dependence on the central server. The central server is the core of data processing, responsible for centralized processing and storage of data. It receives and processes the data transmitted by the edge computing nodes, and uses its powerful computing power and storage capacity for in-depth analysis and storage. Through the big data processing platform and the artificial intelligence processing unit, the central server classifies, stores, and performs complex analysis on the data, generates detailed reports and warning information, and provides decision-making support for managers. The big data processing platform uses distributed computing frameworks (such as Hadoop and Spark) to slice the data and distribute it to multiple nodes for parallel processing. After each node finishes processing, the results are summarized to generate a global analysis result. The big data processing platform can efficiently process and store massive amounts of data, provide fast data analysis and decision-making support, and improve the efficiency and capacity of data processing. The artificial intelligence processing unit performs intelligent analysis on the data through deep learning algorithms. The system performs pattern recognition, behavior prediction, and anomaly detection on the input data according to the trained model. The artificial intelligence processing unit can automatically identify and classify various data patterns, provide accurate analysis results and warning information, and enhance the intelligence and automation level of the system.

[0033] Through the collaborative work of edge computing nodes, central servers, big data processing platforms, and artificial intelligence processing units, the data processing device module realizes the efficient processing and analysis of a large amount of monitoring data. Edge computing nodes perform preliminary processing at the data acquisition end, reducing the amount of data transmission and latency, and improving the real-time performance of data processing. The central server centrally processes and stores data through its powerful computing power and storage capacity, generating detailed reports and warning information. The big data processing platform efficiently processes and stores massive amounts of data through a distributed computing framework, providing fast data analysis and decision-making support. The artificial intelligence processing unit performs intelligent analysis and anomaly detection on the data through deep learning algorithms, providing accurate analysis results and warning information. The data processing device module is linked with the monitoring device module to ensure the efficiency and real-time performance of data during acquisition, transmission, processing, and analysis, significantly improving the overall performance and decision-making support ability of the system.

[0034] Next, in step S3, the wireless communication module realizes real-time data transmission in the network coverage area and transmits data through the 5G network: , where is the received power, is the transmitted power, is the transmitting antenna gain, is the receiving antenna gain, is the path loss, is other losses; The satellite communication device refers to the realization of data transmission in remote and network-free coverage areas and transmits data through satellite relay: , where is the free space path loss, and the calculation of the free space path loss is expressed as: , where is the distance, is the frequency, is the speed of light; The data encryption device refers to ensuring the security of data transmission and encrypting the data: , where is the ciphertext, is the encryption algorithm, is the plaintext, is the encryption key;

[0035] The communication device module includes a wireless communication module, a satellite communication device, and a data encryption device. These devices work together to ensure the real-time transmission and reliability of data. The wireless communication module realizes the real-time transmission of data through the 4G / 5G network. It transmits and receives signals through an antenna, combines a channel allocation algorithm to optimize the transmission path, and ensures the efficient transmission and low latency of data. The wireless communication module is applicable to areas with network coverage and can provide fast and stable communication connections to ensure the real-time transmission of monitoring data. The satellite communication device is used for data transmission in remote areas and areas without network coverage. It realizes global data transmission through satellite relay to ensure the reliability and stability of communication.

[0036] The satellite communication device can provide a stable communication connection in places where the ground communication network cannot cover, ensuring the seamless transmission and real-time nature of monitoring data. The data encryption device encrypts the monitoring data before data transmission, uses a high-strength encryption algorithm to convert the plaintext data into ciphertext, ensures that the data is not stolen and tampered with during transmission, and enhances the security of the system. The data encryption device ensures the confidentiality and integrity of the monitoring data, preventing data leakage and unauthorized access. Through the coordinated work of the wireless communication module, the satellite communication device, and the data encryption device, the communication device module ensures the real-time transmission and reliability of data.

[0037] The wireless communication module provides fast and stable communication connections through the 4G / 5G network and is applicable to areas with network coverage. The satellite communication device realizes global data transmission through satellite relay in remote areas and areas without network coverage, ensuring the reliability and stability of data transmission. The data encryption device encrypts the monitoring data through a high-strength encryption algorithm to ensure the confidentiality and integrity of the data. The communication device module is linked with the data processing device module to ensure the stable transmission of data in different environments, enhancing the security and reliability of the system.

[0038] Finally, in step S5, the solar power supply system refers to providing continuous power to ensure the operation of the monitoring device and converting light energy into electrical energy: , where is the solar power output, is the conversion efficiency, is the area of the solar panel, is the light intensity; The backup battery is used to provide power guarantee under the condition of no light: , where is the electrical energy stored in the backup battery, is the battery capacity, is the voltage; Remote control terminal: provides a user interface for managers to remotely monitor and manage the equipment: , where is the input of the control interface, is the interface processing function, is the user input, and the environmental monitoring sensor: real-time monitors environmental parameters such as air quality, temperature, and humidity in the protected area: , where is the environmental sensor data, is the temperature, is the humidity, is the air quality;

[0039] The auxiliary device module includes a solar power supply system, a backup battery, a remote control terminal, and environmental monitoring sensors. These devices work together to provide continuous power supply, a friendly user interface, and real-time environmental monitoring. The solar power supply system converts light energy into electrical energy through solar panels to provide continuous power for the monitoring devices. High-efficiency solar panels convert light energy into electrical energy, and the built-in battery stores excess electrical energy for use on cloudy days and at night to ensure the stable operation of the monitoring devices around the clock. The solar power supply system provides an environmentally friendly and renewable energy solution, reducing the dependence on traditional power sources. The backup battery is automatically activated when the solar power supply is insufficient to provide power protection for the monitoring devices. The battery is designed by voltage and capacity to ensure long-term power supply under lightless conditions and guarantee the continuity of the system. The remote control terminal provides real-time device status and data display through a friendly user interface. Managers can conduct remote monitoring, device management, and parameter adjustment through the terminal to improve management efficiency and response speed. The environmental monitoring sensors continuously monitor the environmental parameters in the protected area and transmit the data to the central server for analysis. The system can make corresponding adjustments and warnings according to environmental changes to ensure the stability of the ecological environment. Through the coordinated operation of the solar power supply system, backup battery, remote control terminal, and environmental monitoring sensors, the auxiliary device module provides continuous power supply, a friendly user interface, and real-time environmental monitoring. The solar power supply system provides continuous power for the monitoring devices through high-efficiency solar panels, reducing the dependence on traditional power sources. The backup battery provides power protection under lightless conditions to ensure the continuous operation of the system. The remote control terminal facilitates the remote monitoring and management of devices by managers through a friendly user interface. The environmental monitoring sensors continuously monitor the environmental parameters in the protected area to provide data support for comprehensive management. The auxiliary device module is linked with the monitoring devices and data processing module to ensure the stable operation and efficient management of the system in various environments.

[0040] The above embodiments can be implemented in whole or in part by software, hardware, firmware, and any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions and computer programs. When the computer instructions and computer programs are loaded and executed on a computer, the processes and functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, and data center to another website, computer, server, and data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, or magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0041] It should be understood that in various embodiments of the present application, the order numbers of the above processes do not indicate the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0042] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0043] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0044] In addition, in each embodiment of the present application, the functional units can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0045] When the above-mentioned functions are implemented in the form of software functional units and sold and used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art and the part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs.

[0046] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes and substitutions, which should all be covered by the protection scope of this application.

Claims

1. A human activity monitoring system for nature reserves, characterized by: The operation of the supervision system includes the following steps: S1: Install high-definition cameras, infrared sensors, drones and sound sensors at key locations in the protected area to achieve round-the-clock monitoring; S2: Deploy edge computing nodes near monitoring equipment to filter, compress and pre-analyze data to reduce data transmission volume and latency; S3: Encrypted transmission of processed data through wireless and satellite communication modules to ensure data security during transmission; S4: The central server receives edge node data and performs in-depth analysis and storage through the big data platform and AI unit; S5: A solar power system and backup batteries are used to provide continuous power, and environmental sensors monitor the environment of the protected area in real time; In step S1, when the monitoring area is in a daytime environment with sufficient light, a high-definition camera is used to monitor human activities by capturing high-resolution images. The high-definition surveillance camera converts light signals into electrical signals through CMOS and CCD image sensors to generate high-resolution images: ,in, For the generated image, is the spectral response of the camera, is the light source spectrum, is the scene spectral reflectance; When the monitoring area is at night or in an environment with insufficient light, infrared sensors are used to detect temperature changes and moving objects. Infrared sensors detect changes in infrared radiation through the pyroelectric effect and generate electrical signals: ,in, is the output voltage, is the gain of the sensor, is the target temperature change, For ambient temperature changes; Additionally, drones are used to cover wide areas, with multi-rotors providing lift and propulsion, and capturing video and sensor data: ;in, is the total lift, is the thrust coefficient, The rotation speed of each rotor; the sound sensor is used to detect abnormal sounds and convert sound waves into electrical signals through a microphone: ,in, is the output voltage, is the sensor gain, For sound pressure.

2. A human activity monitoring system for nature reserves according to claim 1, characterized in that: In step S2, the edge computing node performs preliminary data processing to reduce transmission delay and data volume, filtering, compressing and pre-analyzing the data: ,in, is the data after edge computing. is the edge computing processing function, is the original data.

3. A human activity monitoring system for nature reserves according to claim 1, characterized in that: In step S3, the wireless communication module realizes real-time data transmission in the area covered by the network, and transmits data through the 5G network: ,in, is the received power, is the transmission power, is the transmit antenna gain, is the receiving antenna gain, Path loss, Other losses; Satellite communication equipment refers to the remote areas and areas without network coverage to achieve data transmission, data transmission through satellite relay: ,in, is the free space path loss, and the free space path loss calculation is expressed as: ,in, For distance, is the frequency, The data encryption device is to ensure the security of data transmission and encrypt the data: ,in, is the ciphertext, is the encryption algorithm, For plain text, Is the encryption key.

4. A human activity monitoring system for nature reserves according to claim 2, characterized in that: In step S4, the central server performs in-depth processing and analysis on the data, and performs in-depth analysis and storage through the big data processing platform and artificial intelligence processing unit: ,in, For the processed data, It is the processing function of the central server. The big data processing platform performs distributed processing and storage of large-scale data, shards the data and distributes it to multiple nodes for parallel processing: ,in, is the data after distributed processing, For the The processing function of each node, To be assigned to The AI ​​processing unit performs intelligent analysis on the data, using deep learning algorithms to perform pattern recognition, behavior prediction, and anomaly detection: ,in, The data is processed by AI. is the activation function, is the weight matrix, For input data, For bias.

5. A human activity monitoring system for nature reserves according to claim 1, characterized in that: In step S5, the solar power supply system provides continuous power to ensure the operation of the monitoring equipment and converts light energy into electrical energy: ,in, is the solar power output, is the conversion efficiency, is the solar panel area, The light intensity; the backup battery is to provide power guarantee in the absence of light conditions: ,in, The electrical energy stored in the backup battery, is the battery capacity, For voltage; Remote control terminal: Provides a user interface for managers to remotely monitor and manage equipment: ,in, For the input of the control interface, is the interface processing function, For user input, environmental monitoring sensors: real-time monitoring of air quality, temperature, humidity and environmental parameters in the protected area: ,in, is the environmental sensor data, is the temperature, For humidity, For air quality.

Images