Intelligent forestry monitoring system

Abstract

The invention discloses an intelligent forestry monitoring system, and belongs to the technical field of forestry monitoring, and the system has the beneficial effects in multiple aspects: in data collection, a sensor module accurately collects various environmental data in real time, which is superior to traditional manual collection, helps forestry management personnel comprehensively understand dynamic changes, and image collection realizes visual continuous monitoring; the power supply module solves the problem of power supply, reduces the cost and environmental pressure, ensures stable operation and stable and complete data transmission; the central processing module can predict risks and give an early warning; the system has a stability guarantee mechanism and is good in expansibility; in a word, various advanced technologies are fused; efficiency and precision are improved, cost is reduced, protection capability is enhanced, and sustainable development of forestry is promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of forestry monitoring, and in particular relates to an intelligent forestry monitoring system. Background Art

[0002] As the world pays more and more attention to environmental protection and sustainable development, the protection and management of forestry resources have become increasingly important. Traditional forestry monitoring methods mainly rely on manual inspections and sampling inspections. This method is not only inefficient and costly, but also difficult to achieve real-time and comprehensive monitoring of large forest areas. In the past, due to the limitations of technical means, the collection of forestry environmental data was often not accurate and timely. For example, the measurement of basic environmental parameters such as temperature, humidity, and light intensity may rely on manual regular recording, which is easily affected by human factors, resulting in large data errors. It is even more difficult to obtain data such as soil moisture content and wind speed, and there is a lack of effective monitoring methods. At the same time, image acquisition also faces many challenges in forestry monitoring. The shooting quality of traditional camera equipment is limited, and it is difficult to obtain clear and accurate images in complex forestry environments. Moreover, image acquisition is often irregular, and continuous monitoring of forestry areas cannot be achieved, making it difficult for some potential problems to be discovered in time. In terms of positioning, a single positioning system may have problems such as unstable signals and inaccurate positioning in complex geographical environments such as forestry, which brings difficulties to the location tracking and data collection of monitoring equipment. In addition, power supply is also a key issue. Forestry areas are usually vast, and providing a stable power supply for monitoring equipment is a challenge. Traditional power supply methods may rely on mains access or disposable batteries. The former has high wiring costs and is difficult to cover remote areas, while the latter requires frequent battery replacement, increasing maintenance costs and workload. In terms of data transmission, early communication technologies have slow transmission speeds and poor stability, and are prone to data loss and delays, which seriously affect the real-time and effectiveness of monitoring data.

[0003] With the continuous development of information technology, various new sensors, communication technologies, image processing technologies and intelligent algorithms have gradually matured, providing the possibility of building a more efficient, accurate and intelligent forestry monitoring system. Against this background, a smart forestry monitoring system that integrates multiple advanced technologies has emerged, aiming to overcome the shortcomings of traditional monitoring methods and realize comprehensive, real-time and accurate monitoring and management of forestry resources. Summary of the invention

[0004] The purpose of the present invention is to provide a smart forestry monitoring system to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a smart forestry monitoring system, characterized in that it includes:

[0006] Sensor modules are used to collect various data in forestry environments, such as temperature, humidity, light intensity, soil moisture content, and wind speed;

[0007] A data transmission module, used to transmit the data collected by the sensor module to the central processing module in real time;

[0008] The central processing module is used to receive, process and analyze the data from the data transmission module and generate corresponding monitoring reports and early warning information;

[0009] Image acquisition module, equipped with a high-definition camera, capable of taking regular images and recording videos of forestry areas;

[0010] A positioning module to determine the location of monitoring equipment in the forest area;

[0011] Power supply module, providing stable power supply for the entire system;

[0012] Remote control module, which enables users to remotely access and control the monitoring system through a mobile terminal or computer;

[0013] The system has a stability guarantee mechanism, including hardware redundancy design and software fault-tolerant processing, to ensure long-term stable operation in complex forestry environments.

[0014] Preferably, the sensors in the sensor module use low-power, high-precision devices to ensure long-term and stable data collection, and have the characteristics of waterproof, dustproof and corrosion-resistant, and can adapt to the complex environmental conditions of forestry. For example, the temperature sensor uses a digital high-precision sensor, and the humidity sensor uses a capacitive humidity sensor. In addition, the sensor module has self-diagnosis and fault alarm functions. Once a sensor is abnormal, the system can issue an alarm in time and switch to the backup sensor to ensure the continuity and stability of data collection. The sensor module has reserved expansion interfaces to facilitate the subsequent addition of new sensors, such as carbon dioxide concentration sensors, water quality monitoring sensors, etc.

[0015] Preferably, the data transmission module supports multiple communication modes, including but not limited to 4G, 5G, LoRa and satellite communication. In areas with weak communication signals such as mountainous areas, it can automatically switch to satellite communication mode to ensure the stability and continuity of data transmission. The data transmission module also has a data cache and retransmission mechanism. When there is a short interruption in communication, the data that has not been successfully transmitted can be temporarily stored and automatically retransmitted after the communication is restored to ensure the integrity and accuracy of the data. The data transmission module has an extensible communication protocol that is compatible with emerging communication technologies in the future and is convenient for system upgrades.

[0016] Preferably, the central processing module is equipped with powerful data processing capabilities and intelligent analysis algorithms, and can analyze and process the collected data in real time. For example, by learning and analyzing historical data, it can predict possible pests or fire risks and issue early warnings in a timely manner. The central processing module adopts a distributed architecture and load balancing technology to improve the processing efficiency and stability of the system and avoid system paralysis due to single point failures. The central processing module has an upgradeable hardware architecture and software framework, which can easily cope with the growing data processing needs and new analysis algorithms.

[0017] Preferably, the high-definition camera of the image acquisition module has autofocus, autoexposure and optical zoom functions, and can capture clear images and videos under different lighting conditions. At the same time, it supports night infrared shooting to achieve 24-hour uninterrupted monitoring. The image acquisition module has image stabilization technology and storage redundancy to prevent image loss or blurring due to jitter or storage failure, and ensure the quality and stability of image data. The image acquisition module has reserved interfaces to support access to more types of image acquisition devices, such as high-definition cameras carried by drones.

[0018] Preferably, the positioning module adopts dual-mode positioning of GPS and Beidou satellite navigation system to ensure the accuracy and reliability of positioning. In areas with weak positioning signals, the positioning accuracy can be improved by base station assisted positioning technology. The positioning module has positioning data calibration and error correction functions, which can correct positioning deviations in real time to ensure the accuracy and stability of location information. The positioning module has reserved expansion interfaces to support access to other positioning systems, such as the Galileo positioning system.

[0019] Preferably, the power supply module includes a solar panel, a battery and a power management module. The solar panel converts light energy into electrical energy and stores it in the battery. The power management module is responsible for optimizing and managing the power supply to ensure that the system operates stably under different weather conditions. The power supply module has overcharge protection, over-discharge protection and short-circuit protection functions, which extend the service life of the battery and improve the stability and reliability of the power supply. The power supply module has an expandable power supply interface for easy access to other energy supply equipment, such as a wind turbine.

[0020] Preferably, the remote control module supports a variety of operating systems and devices. Users can remotely operate the monitoring system by installing a dedicated application or logging in to the web page, including viewing real-time data, historical data, adjusting monitoring parameters, etc. The remote control module uses encrypted communication and identity authentication mechanisms to ensure the security and stability of remote control and prevent illegal access and operation. The remote control module has an open API interface, which is convenient for integration and expansion with other management systems.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] First, in terms of data collection, the sensor module in the system can collect a variety of key environmental data including temperature, humidity, light intensity, soil moisture content and wind speed in real time and accurately. Compared with the traditional manual collection method, it not only greatly improves the frequency and accuracy of data collection and reduces human errors, but also can effectively monitor data that was difficult to obtain in the past, such as soil moisture content and wind speed. This enables forestry managers to fully and deeply understand the dynamic changes of the forestry environment and provides a solid data foundation for scientific decision-making. Secondly, the application of the image acquisition module enables forestry monitoring to be visualized and continuous. The high-definition camera can capture clear images and videos under different lighting conditions, supports infrared shooting at night, and realizes 24-hour uninterrupted monitoring. This helps to timely detect abnormal conditions in forestry, such as tree diseases and insect pests, fire hazards, etc., greatly improving the timeliness and accuracy of problem discovery. Compared with traditional camera equipment, the image quality is significantly improved, and continuous monitoring is possible to avoid missing potential problems. In terms of positioning, the dual-mode positioning of GPS and Beidou satellite navigation system is adopted, combined with base station assisted positioning technology to ensure the accuracy and reliability of positioning. Even in complex forestry geographical environments, the location of monitoring equipment can be accurately tracked, providing a guarantee for the accuracy and integrity of data collection. This helps forestry managers to accurately divide and manage monitoring areas and improve work efficiency. The power supply module uses a combination of solar panels, batteries and power management modules to effectively solve the power supply problem in forestry areas. It not only reduces dependence on city power access and wiring costs, but also avoids maintenance costs and environmental pressures caused by frequent replacement of disposable batteries. At the same time, functions such as overcharge protection, over-discharge protection and short-circuit protection extend the service life of the battery and ensure that the system operates stably under various weather conditions. The data transmission module supports multiple communication methods and has a data cache and retransmission mechanism to ensure the stability and integrity of data transmission. Even in areas with weak communication signals such as mountainous areas, timely data transmission can be ensured to avoid data loss and delay, providing real-time and effective data support for forestry management departments. The powerful data processing capabilities and intelligent analysis algorithms of the central processing module can quickly analyze and process a large amount of collected data. By studying and analyzing historical data, possible pests or fire risks can be predicted in advance and early warnings can be issued in time, allowing forestry managers to take preventive measures to minimize losses. In addition, the system's stability assurance mechanism, including hardware redundancy design and software fault-tolerant processing, ensures that the system can operate stably for a long time in a complex forestry environment, reducing data loss and monitoring interruptions caused by system failures. Finally, the system's good scalability leaves room for future technology upgrades and functional expansions.Whether adding new sensors to monitor more environmental parameters, or accessing more advanced communication technologies and image processing equipment, it can be easily achieved, enabling the system to continuously adapt to new needs of forestry management and new trends in technological development. In summary, this smart forestry monitoring system has significantly improved the efficiency and accuracy of forestry monitoring by integrating a variety of advanced technologies, reduced management costs, and enhanced the ability to protect forestry resources, providing strong technical support for the sustainable development of forestry. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be described clearly and completely below in combination with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] The present invention provides a smart forestry monitoring system, characterized by comprising:

[0025] Sensor modules are used to collect various data in forestry environments, such as temperature, humidity, light intensity, soil moisture content, and wind speed;

[0026] A data transmission module, used to transmit the data collected by the sensor module to the central processing module in real time;

[0027] The central processing module is used to receive, process and analyze the data from the data transmission module and generate corresponding monitoring reports and early warning information;

[0028] Image acquisition module, equipped with a high-definition camera, capable of taking regular images and recording videos of forestry areas;

[0029] A positioning module to determine the location of monitoring equipment in the forest area;

[0030] Power supply module, providing stable power supply for the entire system;

[0031] Remote control module, which enables users to remotely access and control the monitoring system through a mobile terminal or computer;

[0032] The system has a stability guarantee mechanism, including hardware redundancy design and software fault-tolerant processing, to ensure long-term stable operation in complex forestry environments.

[0033] Furthermore, through the sensor module to collect rich environmental data, the data transmission module to transmit efficiently and in real time, the central processing module to conduct in-depth analysis and generate early warnings, the image acquisition module to monitor visually, the positioning module to accurately position, the power supply module to provide stable power support, and the remote control module to operate conveniently, a complete and efficient monitoring system has been formed. This not only greatly improves the efficiency and accuracy of monitoring, reduces the cost and error of manual inspections, but also can timely discover potential problems and risks, providing a scientific basis for the protection and management of forestry resources. The redundant design of the hardware and the fault-tolerant processing of the software ensure the stable operation of the system in harsh environments, avoiding data loss and monitoring interruptions caused by system failures. Moreover, the integrated and intelligent design of the entire system enables it to adapt to various complex forestry scenarios, providing strong technical support for the sustainable development of forestry.

[0034] In this embodiment, the sensors in the sensor module use low-power, high-precision devices to ensure long-term and stable data collection, and have the characteristics of waterproof, dustproof and corrosion-resistant, and can adapt to the complex environmental conditions of forestry. For example, the temperature sensor uses a digital high-precision sensor, and the humidity sensor uses a capacitive humidity sensor. In addition, the sensor module has self-diagnosis and fault alarm functions. Once a sensor is abnormal, the system can issue an alarm in time and switch to the backup sensor to ensure the continuity and stability of data collection. The sensor module has reserved expansion interfaces to facilitate the subsequent addition of new sensors, such as carbon dioxide concentration sensors, water quality monitoring sensors, etc.

[0035] Furthermore, the sensor module uses low-power, high-precision equipment to ensure long-term and stable data collection. Its waterproof, dustproof and corrosion-resistant characteristics enable it to work continuously in the complex and changeable environment of forestry, unaffected by harsh conditions, and thus provide accurate and reliable data. The self-diagnosis and fault alarm functions can detect abnormal conditions of the sensor in a timely manner, and automatically switch to the backup sensor to ensure the continuity and stability of data collection, avoiding data loss and errors. The reserved expansion interface provides convenience for the subsequent addition of new sensors, such as carbon dioxide concentration sensors and water quality monitoring sensors. This enables the monitoring system to continuously enrich the monitoring indicators and parameters and to have a more comprehensive understanding of the changes in the forestry ecological environment. For example, by adding a carbon dioxide concentration sensor, the absorption and emission of carbon dioxide by the forest can be monitored, and the role of the forest in the carbon cycle can be evaluated; the water quality monitoring sensor can detect the quality of water resources such as streams and lakes in the forest area, and timely detect water pollution problems, so as to take corresponding protective measures.

[0036] In this embodiment, the data transmission module supports multiple communication modes, including but not limited to 4G, 5G, LoRa and satellite communication. In areas with weak communication signals such as mountainous areas, it can automatically switch to satellite communication mode to ensure the stability and continuity of data transmission. The data transmission module also has a data cache and retransmission mechanism. When there is a short interruption in communication, the data that has not been successfully transmitted can be temporarily stored and automatically retransmitted after the communication is restored to ensure the integrity and accuracy of the data. The data transmission module has an extensible communication protocol that is compatible with emerging communication technologies in the future and is convenient for system upgrades.

[0037] Furthermore, the data transmission module supports multiple communication methods, which greatly enhances the adaptability of the system in different geographical environments. In areas with good communication signals, high-bandwidth communication methods such as 4G and 5G can achieve fast data transmission; while in areas with weak signals such as mountainous areas, satellite communication and LoRa communication can ensure stable data transmission and avoid data loss caused by communication interruption. The data cache and retransmission mechanism ensure that the data can reach the central processing module completely and accurately even in the case of a brief interruption in communication. The scalable communication protocol enables the system to be easily compatible with emerging communication technologies in the future, without the need for large-scale hardware replacement and system upgrades, reducing maintenance costs and the difficulty of technology updates. This enables forestry monitoring data to be delivered to the management end in a timely and accurate manner, providing real-time basis for decision-making. For example, in terms of fire warning, real-time data transmission enables managers to know key information such as temperature and humidity in fire risk areas at the first time, and quickly take fire-fighting measures to minimize fire losses.

[0038] In this embodiment, the central processing module is equipped with powerful data processing capabilities and intelligent analysis algorithms, and can analyze and process the collected data in real time. For example, by learning and analyzing historical data, it can predict possible pests or fire risks and issue early warnings in a timely manner. The central processing module adopts a distributed architecture and load balancing technology to improve the processing efficiency and stability of the system and avoid system paralysis due to single point failures. The central processing module has an upgradeable hardware architecture and software framework, which can easily cope with the growing data processing needs and new analysis algorithms.

[0039] Furthermore, the central processing module is equipped with powerful data processing capabilities and intelligent analysis algorithms, which can quickly and deeply analyze massive amounts of monitoring data. By learning and analyzing historical data, it can predict possible pests and diseases or fire risks, issue early warnings, and enable forestry managers to take preventive measures in time to avoid disasters or reduce losses. Distributed architecture and load balancing technology ensure the efficiency and stability of the system when processing large amounts of data, and avoid system paralysis caused by single point failures even when the amount of data increases sharply. The upgradeable hardware architecture and software framework enable the central processing module to continuously adapt to new needs and technological developments. For example, with the increase in monitoring data and the optimization of analysis algorithms, the system can easily upgrade hardware configuration and improve processing capabilities; when new types of pests and diseases or fire warning models appear, the software framework can be quickly updated and new analysis algorithms can be applied to ensure the advancement and effectiveness of the monitoring system.

[0040] In this embodiment, the high-definition camera of the image acquisition module has autofocus, autoexposure and optical zoom functions, and can capture clear images and videos under different lighting conditions. At the same time, it supports night infrared shooting to achieve 24-hour uninterrupted monitoring. The image acquisition module has image stabilization technology and storage redundancy to prevent image loss or blurring due to jitter or storage failure, and ensure the quality and stability of image data. The image acquisition module has reserved interfaces to support access to more types of image acquisition devices, such as high-definition cameras carried by drones.

[0041] Furthermore, the high-definition camera of the image acquisition module has a variety of advanced functions, which can capture clear images and videos under different lighting conditions and realize 24-hour uninterrupted monitoring. The autofocus, autoexposure and optical zoom functions ensure that high-quality image data can be obtained even in complex forestry environments. Whether it is clear pictures during the day or infrared imaging at night, it can provide valuable information for monitoring. Image stabilization technology and storage redundancy prevent the image from being lost or blurred due to jitter or storage failure, ensuring the quality and integrity of the data. The reserved interface supports the access to more types of image acquisition devices, such as high-definition cameras carried by drones, further expanding the scope and perspective of monitoring. Through the flexible flight of drones, it is possible to monitor hard-to-reach areas and obtain comprehensive forestry image information. This is of great significance for timely detection of problems such as tree lodging and illegal logging. For example, when monitoring forest pests and diseases, high-definition images can clearly show the pathological characteristics of leaves, helping managers to accurately judge the type and severity of pests and diseases and take timely prevention and control measures.

[0042] In this embodiment, the positioning module adopts dual-mode positioning of GPS and Beidou satellite navigation system to ensure the accuracy and reliability of positioning. In areas with weak positioning signals, the positioning accuracy can be improved by base station assisted positioning technology. The positioning module has positioning data calibration and error correction functions, which can correct positioning deviations in real time to ensure the accuracy and stability of location information. The positioning module has reserved expansion interfaces to support access to other positioning systems, such as the Galileo positioning system.

[0043] Furthermore, the positioning module adopts dual-mode positioning of GPS and Beidou satellite navigation system, combined with base station assisted positioning technology, which significantly improves the accuracy and reliability of positioning. In complex forestry geographical environments, whether it is dense forests or signal-blocking areas such as valleys, the location of the monitoring equipment can be accurately determined. The positioning data calibration and error correction functions correct the positioning deviation in real time to ensure the accuracy and stability of the location information. The reserved expansion interface can support access to other positioning systems, such as the Galileo positioning system, further enhancing the diversity and reliability of positioning. Accurate positioning information is crucial for the management and protection of forestry resources. For example, in forest fire fighting, it can accurately indicate the location of the fire and provide accurate navigation for firefighters to quickly arrive at the scene; in forestry surveys, the location of rare tree species or key protected areas can be accurately marked to facilitate subsequent management and monitoring.

[0044] In this embodiment, the power supply module includes a solar panel, a battery and a power management module. The solar panel converts light energy into electrical energy and stores it in the battery. The power management module is responsible for optimizing and managing the power supply to ensure that the system operates stably under different weather conditions. The power supply module has overcharge protection, over-discharge protection and short-circuit protection functions, which extend the service life of the battery and improve the stability and reliability of the power supply. The power supply module has an expandable power supply interface for easy access to other energy supply equipment, such as a wind turbine.

[0045] Furthermore, the power supply module uses a solar panel combined with a battery and a power management module to provide stable and reliable power support for the monitoring system. Solar panels convert abundant light energy into electrical energy, making full use of natural resources in the forestry environment and reducing dependence on traditional energy. The battery can store excess electrical energy and power the system at night or on rainy days when there is insufficient light, ensuring uninterrupted operation of the system. The optimization and protection functions of the power management module extend the service life of the battery, reduce maintenance costs and energy consumption. Overcharge protection, over-discharge protection and short-circuit protection functions effectively prevent battery damage and improve the safety and stability of power supply. The expandable power supply interface facilitates access to other energy supply equipment, such as wind turbines, further enriching the energy source and enhancing the adaptability of the system to power supply in different environments. In remote forestry areas, this diversified power supply method can ensure the continuous and stable operation of the monitoring system without being affected by problems such as difficulty in accessing the mains.

[0046] In this embodiment, the remote control module supports a variety of operating systems and devices. Users can remotely operate the monitoring system by installing a dedicated application or logging in to the web page, including viewing real-time data, historical data, adjusting monitoring parameters, etc. The remote control module uses encrypted communication and identity authentication mechanisms to ensure the security and stability of remote control and prevent illegal access and operation. The remote control module has an open API interface, which is convenient for integration and expansion with other management systems.

[0047] Furthermore, the remote control module supports a variety of operating systems and devices, allowing users to easily access and control the monitoring system through mobile terminals or computers. This greatly improves the flexibility and convenience of work. No matter where the user is, as long as there is a network connection, they can obtain monitoring data, view historical records and adjust system parameters in real time. Encrypted communication and identity authentication mechanisms ensure the security of remote control, prevent illegal access and operation, and protect the privacy of monitoring data and the safe and stable operation of the system. The open API interface facilitates integration and expansion with other management systems, realizing data sharing and collaborative work. For example, after integration with the management information system of the forestry department, the monitoring data can be directly incorporated into the comprehensive management platform to improve work efficiency and the scientific nature of decision-making; connected with the emergency command system, it can respond quickly and coordinate in the event of an emergency. This enables the smart forestry monitoring system to be better integrated into the entire forestry management system and play a greater role.

[0048] The working principle and use process of the present invention:

[0049] Soil moisture content sensors and wind speed sensors collect data about the surrounding environment in real time. These sensors are designed with low power consumption and high precision to adapt to the complex environment of forestry. Their waterproof, dustproof and corrosion-resistant characteristics ensure long-term and stable data collection. The collected data is transmitted through the data transmission module. The module supports multiple communication methods such as 4G, 5G, LoRa and satellite communication. Under normal circumstances, communication methods with stable signals and fast speeds, such as 4G or 5G, are preferred. When in areas with weak communication signals such as mountainous areas, it automatically switches to satellite communication mode to ensure that data can be transmitted in real time without interruption. During the transmission process, if there is a short interruption in communication, the data transmission module will enable the data cache function to temporarily store the data that has not been successfully transmitted, and automatically retransmit it after the communication is restored to ensure the integrity and accuracy of the data. After receiving the data, the central processing module immediately uses powerful data processing capabilities and intelligent analysis algorithms to process and analyze it. By learning and accumulating historical data, it is possible to predict possible pests and diseases or fire risks, and generate corresponding monitoring reports and early warning information in a timely manner. For example, if the combined data of temperature and humidity reaches the threshold that is likely to cause pests and diseases, the system will issue an early warning to remind forestry managers to take corresponding prevention and control measures. At the same time, the image acquisition module is also playing a role. The high-definition camera regularly captures images and records videos of the forestry area under different lighting conditions, including infrared shooting at night. The image acquisition module has the functions of autofocus, autoexposure and optical zoom, which ensures that the captured images and videos are clear and accurate. These image and video data will also be transmitted to the central processing module to verify and supplement with the sensor data to further improve the accuracy of monitoring. The positioning module adopts dual-mode positioning of GPS and Beidou satellite navigation system, and combines base station auxiliary positioning technology to determine the precise position of monitoring equipment in the forestry area in real time. The positioning data is not only used to track the monitoring equipment, but also provides a geographic coordinate reference for the accuracy and completeness of data collection. The solar panels in the power supply module convert light energy into electrical energy and store it in the battery. The power management module is responsible for optimizing the power supply to ensure the stable operation of the system under different weather conditions. Functions such as overcharge protection, over-discharge protection and short-circuit protection effectively extend the service life of the battery. Finally, the remote control module enables users to remotely access and control the monitoring system through mobile terminals or computers. Users can view real-time data, historical data, adjust monitoring parameters, and realize convenient management of the entire monitoring system.

[0050] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A smart forestry monitoring system, characterized in that: include: Sensor modules are used to collect various data in forestry environments, such as temperature, humidity, light intensity, soil moisture content, and wind speed; A data transmission module, used to transmit the data collected by the sensor module to the central processing module in real time; The central processing module is used to receive, process and analyze the data from the data transmission module and generate corresponding monitoring reports and early warning information; Image acquisition module, equipped with a high-definition camera, capable of taking regular images and recording videos of forestry areas; A positioning module to determine the location of monitoring equipment in the forest area; Power supply module, providing stable power supply for the entire system; Remote control module, which enables users to remotely access and control the monitoring system through a mobile terminal or computer; The system has a stability guarantee mechanism, including hardware redundancy design and software fault-tolerant processing, to ensure long-term stable operation in complex forestry environments.

2. The smart forestry monitoring system according to claim 1, characterized in that: The sensors in the sensor module use low-power, high-precision devices to ensure long-term and stable data collection, and have the characteristics of waterproof, dustproof and corrosion-resistant, and can adapt to the complex environmental conditions of forestry. For example, the temperature sensor uses a digital high-precision sensor, and the humidity sensor uses a capacitive humidity sensor. In addition, the sensor module has self-diagnosis and fault alarm functions. Once a sensor is abnormal, the system can issue an alarm in time and switch to the backup sensor to ensure the continuity and stability of data collection. The sensor module has reserved expansion interfaces to facilitate the subsequent addition of new sensors, such as carbon dioxide concentration sensors, water quality monitoring sensors, etc.

3. The smart forestry monitoring system according to claim 1, characterized in that: The data transmission module supports multiple communication modes, including but not limited to 4G, 5G, LoRa and satellite communication. In areas with weak communication signals such as mountainous areas, it can automatically switch to satellite communication mode to ensure the stability and continuity of data transmission. The data transmission module also has a data cache and retransmission mechanism. When there is a short interruption in communication, the data that has not been successfully transmitted can be temporarily stored and automatically retransmitted after the communication is restored to ensure the integrity and accuracy of the data. The data transmission module has an extensible communication protocol that is compatible with emerging communication technologies in the future and facilitates system upgrades.

4. The smart forestry monitoring system according to claim 1, characterized in that: The central processing module is equipped with powerful data processing capabilities and intelligent analysis algorithms, and can analyze and process the collected data in real time. For example, by learning and analyzing historical data, it can predict possible pests or fire risks and issue early warnings in a timely manner. The central processing module adopts a distributed architecture and load balancing technology to improve the processing efficiency and stability of the system and avoid system paralysis due to single point failures. The central processing module has an upgradeable hardware architecture and software framework, which can easily cope with the growing data processing needs and new analysis algorithms.

5. The smart forestry monitoring system according to claim 1, characterized in that: The high-definition camera of the image acquisition module has autofocus, autoexposure and optical zoom functions, and can capture clear images and videos under different lighting conditions. At the same time, it supports infrared shooting at night to achieve 24-hour uninterrupted monitoring. The image acquisition module has image stabilization technology and storage redundancy to prevent image loss or blurring due to jitter or storage failure, and ensure the quality and stability of image data. The image acquisition module has reserved interfaces to support access to more types of image acquisition devices, such as high-definition cameras carried by drones.

6. The smart forestry monitoring system according to claim 1, characterized in that: The positioning module adopts dual-mode positioning of GPS and Beidou satellite navigation system to ensure the accuracy and reliability of positioning. In areas with weak positioning signals, the positioning accuracy can be improved through base station assisted positioning technology. The positioning module has positioning data calibration and error correction functions, which can correct positioning deviations in real time to ensure the accuracy and stability of location information. The positioning module has reserved expansion interfaces to support access to other positioning systems, such as the Galileo positioning system.

7. The smart forestry monitoring system according to claim 1, characterized in that: The power supply module includes a solar panel, a battery and a power management module. The solar panel converts light energy into electrical energy and stores it in the battery. The power management module is responsible for optimizing and managing the power supply to ensure that the system operates stably under different weather conditions. The power supply module has overcharge protection, over-discharge protection and short-circuit protection functions, which extend the service life of the battery and improve the stability and reliability of the power supply. The power supply module has an expandable power supply interface for easy access to other energy supply equipment, such as wind turbines.

8. The smart forestry monitoring system according to claim 1, characterized in that: The remote control module supports a variety of operating systems and devices. Users can remotely operate the monitoring system by installing a dedicated application or logging in to the web page, including viewing real-time data, historical data, adjusting monitoring parameters, etc. The remote control module uses encrypted communication and identity authentication mechanisms to ensure the security and stability of remote control and prevent illegal access and operation. The remote control module has an open API interface, which is convenient for integration and expansion with other management systems.