Infrared camera field monitoring data acquisition method under network-free condition

Abstract

The invention discloses an infrared camera field monitoring data acquisition method under a network-free condition, a self-developed microwave communication module is carried through an unmanned aerial vehicle, a robot dog, a cross-country vehicle, a cross-country motorcycle or human portable equipment, a low-power-consumption dormancy-awakening technology is adopted, an infrared camera is in a low-power-consumption dormancy state at ordinary times, and the infrared camera is in a low-power-consumption dormancy state; quickly waking up and starting data transmission only when the mobile device approaches and transmits a specific microwave signal; the microwave communication module has the functions of directional communication and adaptive power regulation. Collected data comprises animal and plant infrared images, sound and other information, and data support can be provided for ecological protection research, forest resource investigation, poaching prevention monitoring, disaster site environment monitoring and the like. According to the invention, wireless rapid acquisition and real-time storage of infrared camera data in a complex field environment can be realized, powerful technical support is provided for ecological environment monitoring and protection work, and deep research and wide application in the field ecological monitoring field are promoted.

Description

Technical Field

[0001] The present invention relates to the fields of infrared induction camera monitoring technology, wireless microwave communication technology, and mobile device applications, and particularly relates to a method for collecting field monitoring data of an infrared camera based on a mobile device under non-network conditions. Background Art

[0002] Traditional field ecological monitoring methods mainly involve manually deploying infrared cameras, regularly retrieving memory cards on-site, manually copying and analyzing data, which have problems such as difficult data collection, low monitoring efficiency, and high manual safety costs. It is particularly difficult to achieve effective coverage in complex terrains, vegetation-dense areas, or harsh climate environments, and there are great difficulties in equipment maintenance and data collection, severely restricting the development of ecological protection and scientific research work.

[0003] In recent years, although mobile technologies such as unmanned aerial vehicles, robotic dogs, off-road vehicles, and microwave communication technologies have gradually been applied to the field of ecological monitoring, there are still several deficiencies. When existing unmanned aerial vehicles or mobile devices perform monitoring tasks, in most cases, path planning relies on manual presetting, with insufficient intelligence, making it difficult to effectively avoid unexpected situations, increasing operation complexity and costs. Existing infrared cameras have high power consumption and cannot operate stably for a long time continuously. In particular, there is a lack of a low-power remote wake-up solution for the field environment, resulting in significantly limited device battery life. In addition, traditional wireless communication means have serious signal attenuation, weak anti-interference ability, low and unstable data transmission rates in complex field environments, and cannot meet the demand for effective large-scale data collection. The manual data collection method has low efficiency, high safety risks, poor timeliness, and subsequent data processing usually relies on manual completion by professionals, with a long analysis cycle and unable to provide timely decision-making basis for ecological protection.

[0004] In view of the above problems, the present invention proposes a method for collecting field monitoring data of an infrared camera based on a mobile device under network-free conditions. This method uses various mobile devices such as unmanned aerial vehicles, robotic dogs, off-road vehicles, off-road motorcycles, or human-portable devices to carry a self-developed microwave communication module to achieve non-contact on-site collection of field infrared camera data. The mobile device uses manual control or intelligent path planning algorithms, and integrates technologies such as Beidou / GPS positioning, terrain detection, and obstacle avoidance to achieve autonomous or assisted navigation, reducing the degree of manual intervention. The infrared camera adopts a low-power sleep-wake mechanism suitable for the field environment. The device usually operates in a low-power sleep state and only enters the data transmission state when it receives a specific microwave wake-up signal, effectively extending the device's battery life. The self-developed microwave communication module uses directional communication technology, which has the advantages of strong anti-interference ability, low power consumption, high transmission rate, and can adaptively adjust the transmission power to ensure communication stability in complex environments. The collected data is stored in real time through the built-in cache module of the mobile device, and after the task is completed and when returning to a networked environment, it is uniformly uploaded to the background server. The server automatically screens, analyzes the data, and generates a visual monitoring report, improving the timeliness and scientific research value of the data.

[0005] In summary, through the deep integration of the intelligent application of mobile devices, microwave communication technology, and low-power infrared sensing technology, the present invention effectively solves the problems of poor timeliness, limited coverage, high manual safety risks, insufficient device battery life, and low data analysis efficiency existing in traditional field ecological monitoring technologies, provides an efficient, intelligent, and low-cost technical solution for field ecological environment monitoring and protection, and greatly promotes the technological development and wide application in this field. Summary of the Invention

[0006] The present invention discloses a method for collecting field monitoring data of an infrared camera based on a mobile device under network-free conditions, so as to solve the problems existing in the existing field monitoring methods, such as limited monitoring range, insufficient timeliness of data collection, and high safety risks of manual operations. Specifically, in the present invention, a self-developed microwave communication module is carried by a drone, a robotic dog, an off-road vehicle, an off-road motorcycle or manpower, and is wirelessly connected in a short distance with an improved low-power infrared camera to complete non-contact on-site collection of monitoring data. When the infrared camera is in a non-data transmission state, it maintains a low-power sleep mode. After the mobile device approaches or emits a specific microwave signal, the camera is quickly awakened and data transmission is started. The microwave communication module adopts directional microwave communication technology, which has the characteristics of anti-interference, low power consumption and high transmission rate, and can adaptively adjust the transmission power to adapt to complex terrains and harsh climate environments. After the data collection is completed, it is temporarily stored through the data cache module on the mobile device, and is centrally uploaded to the background server for further analysis and processing after returning to an area with network conditions. The background server is equipped with data processing and verification algorithms, which can automatically complete data screening, identification, analysis, and generate structured and visual monitoring reports, greatly improving the data application value. This method is applicable to various application scenarios such as wildlife behavior research, ecological protection monitoring, forest resource survey, anti-poaching monitoring, and disaster site environment monitoring, and has good versatility and scalability, which can effectively promote the in-depth research and practical application of field monitoring technology.

[0007] The technical solution of the present invention is as follows: A method for collecting field monitoring data of an infrared camera based on a mobile device under network-free conditions. This method first sets monitoring task parameters, selects the type of mobile device carrier, and plans the monitoring path. The carriers of the mobile device include drones, robotic dogs, off-road vehicles, off-road motorcycles, or human portable devices, which can be flexibly selected according to the specific situation of the monitoring area. The mobile device is equipped with an autonomous power module, a self-developed microwave communication module, and a data caching module, and combines Beidou or GPS and terrain detection sensors to achieve autonomous or assisted navigation. When it arrives near the designated monitoring point, it remotely activates the data transmission status of the improved infrared camera by sending a specific microwave wake-up signal. After receiving the wake-up signal, the infrared camera immediately exits the low-power sleep mode and enters the data transmission mode, and transmits data such as infrared images and sounds of monitored objects such as animals and plants collected to the data caching module of the mobile device through high-speed directional microwave communication to ensure secure storage and real-time backup of the data. After the data transmission is completed, the mobile device continues to the next monitoring point to perform the same task until the data collection tasks of all monitoring points are completed. After completing the data collection, the mobile device returns to an area or base with network conditions and uploads the collected data to the background server or cloud server for storage and processing. The background server is equipped with data processing and verification algorithms, which automatically complete the screening, classification and identification, and in-depth analysis of the uploaded data, and generate a structured and visualized ecological monitoring report to provide effective data support for scientific research and ecological protection.

[0008] Through the highly coordinated operation of the microwave communication module and various mobile devices, this method not only improves the monitoring range and data timeliness, but also reduces the high cost and manual intervention requirements of traditional methods. It is particularly suitable for stable and efficient data collection in complex terrains and extreme conditions, significantly enhancing the effectiveness, timeliness, and application value of field monitoring data. The specific implementation steps are as follows:

[0009] (1) Task parameter setting and carrier selection:

[0010] Before the task starts, technicians or users input detailed monitoring task parameters through a dedicated control terminal, including the specific geographical coordinates of the monitoring area, the installation location (latitude, longitude, altitude) of each infrared camera, the camera number, the start and end dates of the monitoring task, the data collection frequency at each monitoring point, and special requirements (such as monitoring of specific animal species, plants, or environmental events). After inputting the task parameters, according to the actual terrain, vegetation density, area, road accessibility, etc. on-site, select a mobile device carrier suitable for the task. For example, drones or off-road motorcycles are preferred in large-scale open areas, while drones, robotic dogs, or human-carrying devices are selected in densely forested areas, and off-road vehicles are used in areas with rough terrain and long distances.

[0011] (2) Path planning and optimization:

[0012] After completing the mission parameters and carrier selection, the control terminal uses the independently developed path planning and optimization algorithm to generate a detailed path plan for the mobile device. Specifically, it includes:

[0013] (a) Initial calculation of the path: The locations of all infrared camera monitoring points are obtained through Beidou or GPS positioning technology, and spatial analysis is performed in combination with the geographic information system (GIS) to calculate the initial collection path;

[0014] (b) Detailed route optimization: Comprehensively analyze the mobile device's endurance, load capacity, obstacles, terrain undulations and other factors to generate a detailed route plan, accurate to the arrival order of each monitoring point, specific stay time, data transmission time and the device's return route;

[0015] (c) Real-time route adjustment plan: Preset alternative routes when the mobile device encounters unexpected environmental factors (such as bad weather and road interruptions) during the mission to ensure the smooth completion of the mission.

[0016] (3) Equipment self-test and status confirmation:

[0017] Before the mobile device sets out to perform a task, the system automatically performs a comprehensive equipment self-check, including the following detailed steps:

[0018] (a) Mobile device status self-check: Check the mobile device battery level, power management system status, navigation and positioning system (Beidou / GPS) working status, obstacle avoidance sensor, microwave communication module transmission and reception function, and data cache module storage space in turn;

[0019] (b) Remote status confirmation of infrared cameras: The mobile device sends a preset low-power wake-up signal to the infrared cameras in the mission area through the microwave communication module to confirm whether all cameras can be remotely awakened and respond;

[0020] (c) Generate self-inspection status report: The system generates a detailed equipment status report based on the self-inspection results and provides real-time feedback. If there is any abnormality, the system automatically prompts the technician to perform equipment maintenance or replacement before executing the task.

[0021] (4) Monitoring data collection execution:

[0022] The mobile device starts to perform the data collection task, arrives at each monitoring point one by one according to the planned route and performs data collection, including the following details:

[0023] (a) Arrival and stay: After the mobile device reaches the vicinity of the monitoring point accurately through the navigation system, it stays within the effective microwave communication range of the infrared camera, and the position accuracy error does not exceed 2 meters;

[0024] (b) Remote Wake-up Infrared Camera: The microwave communication module of the mobile device transmits a low-power microwave wake-up signal at a specific frequency, and the built-in wake-up module of the camera immediately exits the sleep mode and starts up quickly.

[0025] (c) High-speed Data Transmission: The infrared camera transmits the collected data (including images and sounds of animals and plants, environmental temperature and humidity data, etc.) to the mobile device in a high-speed and short-distance wireless manner through the built-in microwave communication module, and the transmission rate reaches the Mbps level.

[0026] (d) Data Caching and Verification: The data caching module of the mobile device receives and stores the data in real time, and at the same time performs simple data verification to confirm that there are no obvious errors or interruptions in the received data.

[0027] (e) Continue Task: After the data transmission and verification are completed, the mobile device immediately continues to the next monitoring point until the data collection at all monitoring points is completed.

[0028] (5) Data Self-check and Integrity Confirmation:

[0029] After the data collection at all monitoring points is completed, the system automatically performs a detailed self-check process on all the cached data, specifically including:

[0030] (a) Data Integrity Verification: Check item by item whether the quantity and size of the data collected at each monitoring point in the data caching device are consistent with the expectations, and confirm that there are no data missing, damaged or transmission error situations.

[0031] (b) Data Accuracy Verification: Check the geographical location annotation, acquisition timestamp, image clarity, sound clarity, and logic and rationality of environmental data in each piece of data.

[0032] (c) Self-check Report and Marking: Automatically generate a detailed data self-check report, including the analysis results of integrity and accuracy. If there is any problematic data, it will be automatically marked and the reason for the abnormality will be recorded, prompting the staff to perform on-site re-collection or manual correction later.

[0033] (6) Data Backhaul and Analysis Processing:

[0034] After all tasks are completed, the mobile device returns to the base or the designated location with network conditions according to the planned path for data uploading and analysis processing. The specific steps are as follows:

[0035] (a) Device Return: Return safely to the starting point or base of the task according to the preset path. If there are special situations (such as insufficient power), automatically find a backup return location.

[0036] (b) Centralized data upload: Through wired or high-speed wireless transmission, all the monitored data in the data cache module is uniformly uploaded to the background server or cloud storage center to ensure safe and efficient data transfer and storage.

[0037] (c) Data storage and automatic analysis: After receiving the data, the background server automatically stores it and runs the built-in data processing and verification algorithms to complete tasks such as animal and plant species identification, behavior analysis, environmental parameter change trend analysis, and automatic identification of abnormal events.

[0038] (d) Automatic report generation: According to the analysis results, the system automatically generates a structured and visual ecological monitoring report containing various charts, images, and sound clips, providing key data support for ecological research, animal protection, and environmental monitoring decision-making.

[0039] The advantages of the present invention compared with the prior art are as follows:

[0040] 1. The present invention combines multiple mobile devices such as drones, robotic dogs, off-road vehicles, off-road motorcycles, or human-portable terminals with low-power infrared cameras, and uses the self-developed microwave communication module to achieve fast and non-contact on-site data collection. Compared with the traditional method that requires long-term manual inspections by business personnel or retrieving memory cards on-site, the present invention can efficiently complete data collection at multiple monitoring points in a short time, significantly improving the efficiency of field monitoring, reducing the manual safety risk and time cost.

[0041] 2. The present invention provides multiple mobile device options, flexibly adapting to different terrains and environments, ensuring a wider coverage of the monitoring area. Drones and robotic dogs can easily reach areas with dense vegetation and complex terrain, off-road vehicles and off-road motorcycles are suitable for quickly reaching remote areas over long distances, and human-portable devices can be used for data collection in extremely complex areas. Therefore, compared with the traditional single monitoring method, the present invention has excellent regional adaptability and comprehensive data coverage ability, effectively avoiding data omission and incompleteness problems caused by terrain, vegetation, and climate limitations in the traditional method.

[0042] 3. The present invention uses the self-developed directional microwave communication module to achieve high-speed real-time data transmission and storage in complex environments. The collected data includes infrared images, sounds, etc. of animals and plants, which are instantaneously transmitted through microwave communication technology and stored in the large-capacity cache module built into the mobile device in real time. This method ensures the real-time and security of the data, facilitating business personnel to obtain the latest monitoring information in a timely manner and conduct rapid analysis. In the traditional method, the data often lags behind for several days or even weeks, with poor timeliness and difficulty in meeting the rapid decision-making requirements for large-scale field monitoring data collection.

[0043] 4. The present invention uses a self-developed microwave communication module and a specially designed low-power infrared induction camera, which greatly improves the battery life stability and working reliability of the device. When the monitoring device is not transmitting data, it automatically enters the low-power sleep mode and only enters the working state when a mobile device approaches and sends a microwave wake-up signal, effectively avoiding the problem of excessive power consumption of the device. At the same time, the mobile device and the camera perform self-checks before task execution to ensure that all functions are normal, preventing data loss or monitoring interruption caused by device failures. In contrast, traditional devices have high power consumption, require frequent maintenance, and are prone to failures in the field environment, affecting the stability of the monitoring task.

[0044] 5. After the data collection is completed, the present invention automatically performs a self-check on the data status to ensure the integrity and accuracy of the data. The system checks the quantity and completeness of the data one by one, and at the same time verifies the accuracy of the data collection, including geographical location, timestamp, image, and environmental data quality. Once data loss or abnormality is found, the system automatically prompts and marks the abnormal status for quick processing or re-collection, significantly improving the reliability and scientific research application value of the monitoring data. Traditional monitoring methods lack a timely and effective data verification mechanism, making it difficult to ensure the quality and credibility of the data, which restricts the subsequent research and application effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is the overall flowchart of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0046] In order to enable those skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below in conjunction with the drawings and embodiments.

[0047] As Figure 1 shown, the specific implementation steps of the present invention are as follows:

[0048] 1. Task parameter setting and carrier selection

[0049] Before starting the data collection task, the staff or technicians first input specific monitoring task parameters at the task control terminal, including the precise geographical coordinate information of the area to be monitored, the positions (latitude, longitude, and elevation information) of each infrared camera monitoring point, the start and end times of the monitoring task, the data collection frequency, the monitoring objects (animals, plants, environmental elements), and special precautions, etc. After the input is completed, the system combines the on-site environmental factors such as the terrain, vegetation coverage, and road accessibility of the area to be monitored, and automatically recommends a suitable mobile device carrier for this task, including drones, robotic dogs, off-road vehicles, off-road motorcycles, or human-portable terminals. The user confirms the selected carrier type according to specific requirements to generate a monitoring task execution plan.

[0050] 2. Path planning and optimization

[0051] According to the input monitoring task parameters, the system control terminal uses a self-developed path planning algorithm to calculate and give the path planning that is most suitable for the mobile device to execute the task. This path planning comprehensively considers factors such as device type, battery life, spatial distribution of monitoring points, task duration, terrain obstacles, and safety, providing comprehensive path calculation, optimization, and real-time adjustment capabilities. Specifically, it includes:

[0052] Path calculation: The system calculates the preliminary optimal path based on the position information of all input monitoring points, with the help of Beidou or GPS positioning data and GIS geospatial analysis methods;

[0053] Path optimization: Fine-tune the preliminary path to clarify details such as the order of arrival at each monitoring point, the precise arrival time, the residence time required for data collection, and the communication distance;

[0054] Path dynamic adjustment: During the task execution, the mobile device automatically optimizes and adjusts the path at any time through built-in real-time environment perception sensors (such as obstacle detection and wind speed perception) to ensure the smooth and successful completion of the task.

[0055] 3. Equipment self-check and status confirmation

[0056] Before the mobile device executes the task, the system automatically executes the equipment self-check program to ensure the safety and reliability of the task. The specific steps include:

[0057] Mobile device self-check: Automatically check the status of key devices such as the power system, microwave communication module, navigation and positioning system (Beidou / GPS), and data cache module of the mobile device to ensure that all functions are normal;

[0058] Infrared camera remote self-check: Transmit an initial wake-up signal to the infrared camera in the monitoring area through the microwave communication module to confirm the normal operation of the camera's low-power wake-up mechanism and data transmission function;

[0059] Generate an equipment self-check report: Automatically generate a detailed status report after the self-check and display the status of each device. If any abnormality is found, the system will automatically prompt the staff to maintain or replace the faulty device in time.

[0060] 4. Monitoring data collection execution

[0061] The mobile device reaches near the specified monitoring point in an autonomous or manually assisted manner according to the planned path and executes the data collection task. The specific implementation includes:

[0062] Arrive at the monitoring point: The mobile device accurately arrives at each preset monitoring point through the navigation system, with a position error within 2 meters;

[0063] Microwave remote wake-up: The microwave communication module is used to transmit specific low-power wake-up signals to quickly wake up the infrared camera in the sleep state and start the data transmission mode;

[0064] Data transmission and storage: The data collected by the infrared camera (including infrared images, video clips, sound information, environmental temperature and humidity parameters of animals and plants, etc.) is transmitted in real time to the built-in data cache module of the mobile device through high-speed microwave communication to ensure the safe real-time storage and backup of the data;

[0065] Task loop: After completing the data collection task at the current monitoring point, the mobile device automatically goes to the next monitoring point and repeats the above steps until the data collection at all monitoring points is completed.

[0066] 5. Self-check and confirmation of data status

[0067] After the data collection at each monitoring point is completed, the system automatically performs a self-check of the data status to ensure the integrity and accuracy of the data. The specific implementation steps include:

[0068] Data integrity check: The system automatically checks the integrity of the stored data, including the amount of data, the size of the data file, etc., and checks whether there is data loss, damage or abnormal interruption;

[0069] Data accuracy check: Verify whether the collection location, timestamp, image quality, sound information and environmental parameters of the data meet the preset standard requirements;

[0070] Generate a data self-check report: After the self-check is completed, the system automatically generates a detailed data self-check report, marking the analysis results of integrity and accuracy; when abnormalities are found, it automatically prompts the staff to re-collect or further process in a timely manner.

[0071] 6. Data upload, storage and analysis processing

[0072] After the task is completed, the mobile device automatically returns to the base or a designated location and uploads all the collected data to the background server or the cloud for centralized storage and processing.

[0073] Return of the mobile device: The mobile device safely returns to the base according to the preset return path. If an unexpected situation occurs during the journey (such as insufficient device power), it automatically selects a backup return point;

[0074] Data unified upload: After returning to the base, all the monitoring data is centrally uploaded to the background server or the cloud storage system using high-speed wireless network or wired connection;

[0075] Automatic data storage and analysis: The background server uses the built-in data processing algorithm to automatically perform rapid analysis and processing on the uploaded data, including the identification of animal and plant species, ecological behavior analysis, environmental trend changes, etc.;

[0076] Generate a structured monitoring report: The system automatically generates a structured and visual ecological monitoring report containing charts, images, sounds, etc., which is convenient for researchers and ecological protection agencies to conduct in-depth analysis and make decisions.

[0077] Introduction to the self-developed microwave communication module

[0078] The microwave communication module is a dual-mode wireless communication system integrating Bluetooth Low Energy (BLE) and Wi-Fi 6 technologies, designed specifically for efficient data interaction between drones and field infrared cameras. Its core function is to achieve low-power wake-up through BLE, and then transmit data at high speed through Wi-Fi 6, suitable for field operation scenarios with long distance, low latency, and high bandwidth.

[0079] BLE low-power wake-up stage

[0080] When the microwave communication module carried by the drone approaches the infrared camera (preset trigger distance, 50 - 200 meters), it automatically activates the BLE broadcast mode.

[0081] The BLE chip of the infrared camera is in a deep sleep state, only periodically scanning for signals (such as once per second). When it receives a specific BLE beacon (including identity authentication information) from the drone, it immediately wakes up the host system.

[0082] After waking up, both parties complete an initial handshake through BLE (such as key exchange or device verification) to ensure communication security.

[0083] Wi-Fi 6 high-speed transmission stage

[0084] After the handshake is successful, both parties automatically switch to a Wi-Fi 6 connection to establish a high-bandwidth channel (theoretical rate up to 1.2 Gbps).

[0085] The infrared camera transmits the stored image / video data to the drone through Wi-Fi 6, and can also receive instructions from the drone (such as parameter adjustment, firmware upgrade).

[0086] After the transmission is completed, the infrared camera re-enters the low-power mode, and the drone flies away or enters the standby state.

[0087] BLE 5.0 / 5.2 chip: Supports long-distance mode (LE Coded PHY), communication distance up to hundreds of meters; ultra-low power consumption (standby current < 1 μA).

[0088] Wi-Fi 6 module: Supports the 802.11ax protocol, OFDMA and MU-MIMO technologies improve the multi-device concurrency efficiency; the Target Wake Time (TWT) function further reduces power consumption.

[0089] Adaptive Switching Algorithm: Dynamically judge the signal strength and data volume requirements, automatically select the BLE or Wi-Fi 6 mode, and balance power consumption and performance.

[0090] Directional Antenna Design: Optimize the focusing of microwave signals, reduce interference in the field environment, and improve the signal-to-noise ratio.

[0091] Dual-Mode Cooperative Wake-up Mechanism:

[0092] Innovatively introduce a phased communication strategy of "BLE beacon + Wi-Fi 6 high-speed transmission" to solve the contradiction that traditional single modules cannot balance low power consumption and high bandwidth. Compared with pure BLE transmission (bandwidth limited) or continuous Wi-Fi listening (high power consumption), the comprehensive energy efficiency is increased by more than 80%. Adaptability in the field environment:

[0093] Anti-Interference Design: Use the microwave frequency band (such as 5.8GHz) to avoid the crowded 2.4GHz frequency band, and combine frequency hopping technology to avoid co-frequency interference.

[0094] Low Power Consumption Optimization: The BLE chip of the infrared camera adopts an event-driven architecture and only responds to specific encrypted beacons to avoid invalid wake-up (such as signals from other drones).

[0095] Fast Connection Technology:

[0096] By pre-storing device fingerprints (such as hash IDs) and simplifying the Wi-Fi 6 handshake process, the connection establishment time is shortened to within 200ms (traditional Wi-Fi takes 1 - 3 seconds), which is suitable for the short-term hovering scenario of drones.

[0097] Improvement in Energy Efficiency Ratio:

[0098] Measured data shows that when transmitting 1GB of data, the total energy consumption of the module is reduced by 95% compared with the traditional continuously activated Wi-Fi solution and by 70% compared with 4G / 5G modules, significantly extending the battery life of the infrared camera (up to several months).

[0099] Comparative Advantages

[0100]

[0101] Through the collaborative design of software and hardware, this module realizes a closed-loop of "precise wake-up - high-speed transmission - instant sleep", providing an innovative solution for the communication of field Internet of Things devices.

[0102] Through the above steps, the present invention provides a method for collecting field monitoring data of an infrared camera based on a mobile device under network-free conditions. By using a variety of mobile devices and highly automated microwave communication technologies, efficient, accurate, and stable collection and transmission of monitoring data in complex environments are achieved, significantly improving the efficiency and accuracy of field monitoring, making up for the deficiencies of traditional technologies, and providing an efficient and reliable innovative technical solution for ecological protection and scientific research.

Claims

1. A method for collecting data from an infrared camera monitoring field without a network, characterized in that: First, by setting the monitoring task parameters, the type of mobile device carrier is selected and the monitoring path is planned; the carrier of the mobile device includes unmanned aerial vehicles, robot dogs, off-road vehicles, off-road motorcycles or human portable devices, which are selected according to the specific conditions of the monitoring area; the mobile device is equipped with an independent power supply module, a self-developed microwave communication module and a data cache module, combined with Beidou or GPS, terrain detection sensors to achieve autonomous or assisted navigation, arrive near the designated monitoring point, and remotely activate the data transmission state of the improved infrared camera by sending a specific microwave wake-up signal; after receiving the wake-up signal, the infrared camera immediately exits the low-power sleep mode and enters the data transmission mode, and transmits the collected dynamic data through high-speed directional microwave communication. The infrared images and sound data of the monitored objects of plants and animals are transmitted to the data cache module of the mobile device to ensure the safe storage and real-time backup of the data; after the data transmission is completed, the mobile device continues to go to the next monitoring point to perform the same task until the data collection task of all monitoring points is completed; after completing the data collection, the mobile device returns to the area or base with network conditions, and uploads the collected data to the background server or cloud server for storage and processing; the background server has a built-in data processing and verification algorithm to automatically complete the screening, classification and identification, and in-depth analysis of the uploaded data, and generate a structured and visual ecological monitoring report, providing effective data support for scientific research and ecological protection.

2. According to the method for collecting data of infrared camera field monitoring without network condition in claim 1, it is characterized in that: The specific implementation steps are as follows: (1) Mission parameter setting and carrier selection: Before the task is started, the technician or user enters detailed monitoring task parameters through a dedicated control terminal, including the specific geographic coordinates of the monitoring area, the installation location of each infrared camera, the camera number, the start and end dates of the monitoring task, the data collection frequency of each monitoring point, and special requirements; after entering the task parameters, according to the actual terrain, vegetation density, area, and road accessibility of the site, the mobile device carrier suitable for the task is selected. For example, drones or off-road motorcycles are preferred in large open areas, drones, robot dogs or human-carried equipment are selected in dense forest areas, and off-road vehicles are used in areas with rugged terrain and long distances; (2) Path planning and optimization: After completing the mission parameters and carrier selection, the control terminal uses the self-developed path planning and optimization algorithm to generate a detailed path plan for the mobile device; specifically, it includes: (a) Initial calculation of the path: The locations of all infrared camera monitoring points are obtained through Beidou or GPS positioning technology, and spatial analysis is performed in combination with the geographic information system GIS to calculate the initial collection path; (b) Detailed route optimization: Comprehensively analyze the endurance, load capacity, obstacles, and terrain factors of the mobile device to generate a detailed route plan, including the arrival order, specific stay time, data transmission time, and return route of each monitoring point; (c) Real-time route adjustment plan: pre-set alternative routes for mobile devices when they encounter unexpected environmental factors during mission execution to ensure successful completion of the mission; (3) Equipment self-test and status confirmation: Before setting out to perform a task, the mobile device automatically performs a comprehensive equipment self-check, including the following steps: (a) Mobile device status self-check: Check the mobile device battery level, power management system status, navigation and positioning system working status, obstacle avoidance sensor, microwave communication module transmission and reception functions, and data cache module storage space in turn; (b) Remote status confirmation of infrared cameras: The mobile device sends a preset low-power wake-up signal to the infrared cameras in the mission area through the microwave communication module to confirm whether all cameras can be remotely awakened and respond; (c) Generate self-check status report: The system generates a detailed equipment status report based on the self-check results and provides real-time feedback. If there is any abnormality, the system automatically prompts the technician to perform equipment maintenance or replacement before executing the task; (4) Monitoring data collection execution: The mobile device starts to perform the data collection task, arrives at each monitoring point one by one according to the planned route and performs data collection, including the following details: (a) Arrival and stay: After the mobile device reaches the vicinity of the monitoring point accurately through the navigation system, it stays within the effective microwave communication range of the infrared camera, and the position accuracy error does not exceed 2 meters; (b) Remotely wake up the infrared camera: The microwave communication module of the mobile device transmits a low-power microwave wake-up signal of a specific frequency, and the built-in wake-up module of the camera immediately exits the sleep mode and starts up quickly; (c) High-speed data transmission: The infrared camera transmits the collected data to the mobile device in a high-speed, short-distance wireless manner through the built-in microwave communication module, with a transmission rate of Mbps level; (d) Data caching and verification: The data caching module of the mobile device receives and stores data in real time and performs simple data verification at the same time to confirm that there are no obvious errors or interruptions in the received data; (e) Continue task: After data transmission and verification are completed, the mobile device immediately continues to the next monitoring point until data collection at all monitoring points is completed; (5) Data self-check and integrity confirmation: After completing data collection at all monitoring points, the system automatically performs a detailed self-check process on all cached data, including: (a) Data integrity check: Check item by item whether the quantity and size of the data collected at each monitoring point in the data cache device are consistent with expectations, and confirm that there is no data missing, damage or transmission error; (b) Data accuracy verification: Check the geographic location labeling, collection timestamp, image clarity, sound clarity, and logic and rationality of environmental data in each piece of data; (c) Self-check report and marking: Automatically generate detailed data self-check reports, including completeness and accuracy analysis results. If there is any problematic data, it will be automatically marked and the cause of the abnormality will be recorded, prompting the staff to conduct subsequent on-site re-collection or manual correction; (6) Data transmission and analysis and processing: After all tasks are completed, the mobile device returns to the base or designated location with network conditions according to the planned path to upload and analyze data. The specific steps are as follows: (a) Device return: Safely return to the mission starting point or base according to the preset path, and automatically find an alternative return point if special circumstances occur; (b) Centralized data upload: All monitoring data in the data cache module are uploaded to the backend server or cloud storage center through wired or high-speed wireless transmission to ensure data security and efficient transfer; (c) Data storage and automatic analysis: The backend server automatically stores the received data and runs the built-in data processing and verification algorithm to complete tasks such as animal and plant species identification, behavior analysis, environmental parameter change trend analysis, and automatic identification of abnormal events; (d) Automatic report generation: Based on the analysis results, the system automatically generates a structured, visual ecological monitoring report containing a variety of charts, images, and sound clips, providing key data support for ecological research, animal protection, and environmental monitoring decisions.

3. The infrared camera field monitoring data acquisition method without network conditions according to claim 1 is characterized in that: The infrared camera adopts a low-power sleep-wake-up mechanism suitable for outdoor environments, and maintains a low-power sleep mode in a non-data transmission state. When a mobile device approaches or sends a specific microwave wake-up signal, the infrared camera is quickly awakened and enters a data transmission mode.

4. The infrared camera field monitoring data acquisition method without network conditions according to claim 1 is characterized in that: The microwave communication module adopts directional microwave communication technology and has the characteristics of strong anti-interference ability, low power consumption and high transmission rate to achieve stable data communication in complex terrain and harsh weather conditions in the wild.

5. The infrared camera field monitoring data acquisition method without network conditions according to claim 1 is characterized in that: The carriers of the mobile device include drones, robot dogs, off-road vehicles, off-road motorcycles or human-portable equipment, which are selected according to the requirements of specific application scenarios. The mobile devices are equipped with their own power modules, microwave communication modules and data cache modules to ensure the effective collection, storage and subsequent transmission of monitoring data.

6. The infrared camera field monitoring data acquisition method without network conditions according to claim 5 is characterized in that: When using drones, robot dogs or other intelligent equipment, the mobile device plans the collection path through manual control or automatic planning, realizes autonomous navigation and obstacle avoidance through the built-in Beidou or GPS and terrain detection sensors, and automatically stays within the specified distance range to perform infrared camera wake-up and data download operations.

7. The infrared camera field monitoring data collection method without network conditions according to claim 4 is characterized in that: When using human portable equipment for data collection, it is equipped with a handheld portable terminal, and uses the mobile terminal's built-in positioning module and map information to guide personnel to quickly approach the target monitoring location in real time, and complete data collection through microwave communication. It is suitable for complex terrain and dense vegetation areas that are difficult for drones to enter.

8. The infrared camera field monitoring data collection method without network conditions according to claim 1 is characterized by: The microwave communication module has an adaptive power regulation function and dynamically adjusts the transmission power according to the communication distance and environment.

9. The infrared camera field monitoring data acquisition method without network conditions according to claim 1 is characterized in that: The collected monitoring data include but are not limited to infrared images, sound information and various ecological data of animal and plant monitoring objects. They are temporarily stored using the data cache module on the mobile device and uploaded to the background server after returning to a location with a network environment for data analysis and processing.

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