Infrared camera monitoring data acquisition method based on unmanned aerial vehicle

Abstract

The invention discloses an infrared camera field monitoring data acquisition method based on an unmanned aerial vehicle, which can realize efficient and accurate acquisition of infrared camera data by using an unmanned aerial vehicle technology and an infrared induction camera technology. The unmanned aerial vehicle automatically flies to a specified monitoring point, a low-power-consumption microwave awakening module is used for starting an infrared induction camera to carry out data acquisition, and data are transmitted back in real time through a high-speed wireless transmission technology. Collected data comprise animal activity images, sounds and the like, and an important basis can be provided for wild animal behavior research and ecological protection. In addition, the collected data are processed and analyzed by writing a verification algorithm, a detailed monitoring report is generated, and the availability and value of the data are improved. According to the invention, wireless transmission of infrared camera data can be realized, powerful support is provided for ecological protection and environmental monitoring data acquisition, and deep research and wide application in the field of wild animal monitoring are promoted.

Description

Technical Field

[0001] The invention relates to infrared sensing camera monitoring technology, image processing and microwave signals, and in particular to a monitoring data acquisition method based on an infrared sensing camera of an unmanned aerial vehicle. Background Art

[0002] Traditional infrared camera monitoring and data transmission methods rely on manual deployment of equipment, on-site data collection and analysis, which are inefficient and difficult to fully cover in complex terrain and harsh environments, and the real-time and accuracy of data are difficult to guarantee. In recent years, although drone technology and infrared sensing technology have been applied, they still have shortcomings. Drone flight path planning is not intelligent enough and requires manual intervention, which increases the difficulty and time cost of operation. Infrared sensing cameras have high power consumption and limited battery life, making it difficult to work continuously for a long time. Manual data collection is costly, slow, and difficult to maintain. Data processing and analysis require professional operation, which is not conducive to obtaining results quickly.

[0003] In response to these problems, the present invention proposes a monitoring data collection method based on an infrared sensing camera of a drone. This method solves the key problems of traditional monitoring methods through highly automated drone flight and autonomous collection technology. The drone performs equipment self-checking before taking off to ensure normal functions and avoid data loss and monitoring interruption. The flight path is calculated by the control panel using a self-developed path planning algorithm, taking into account factors such as range restrictions, distribution of monitoring points, and flight safety to generate the optimal path, which can be adjusted dynamically. During the data collection process, the drone cooperates with the self-developed infrared sensing camera, uses a low-power microwave wake-up module to wake up the camera and start the data collection task, and the data is transmitted to the large-capacity storage device in the drone pod through the Wi-Fi 6 high-speed transmission module to ensure real-time storage and backup. After the task is completed, the drone returns to the base and uploads the data to the ground station or the cloud for storage and analysis. After data collection, a status self-check is performed to ensure data integrity and accuracy, generate an integrity report, and prompt abnormal conditions.

[0004] In summary, the present invention improves monitoring efficiency through automated drone flight and autonomous collection technology, solves the shortcomings of existing equipment, and realizes stable and accurate data collection and transmission in complex environments. Summary of the invention

[0005] The problems solved by the technology of the present invention are as follows: A method for collecting infrared camera monitoring data based on drones is proposed. By using drone and infrared induction camera collection technologies, several key problems in traditional monitoring and data transmission methods are solved. This method enables the drone to automatically fly to the designated camera monitoring points, collect infrared camera data, and transmit it back in real time through high-speed wireless transmission technology, providing an efficient and accurate solution for collecting infrared camera monitoring data. Its main technical features include automatic path planning, device self-check, data self-check, data collection and storage, data analysis, and report generation. This method makes up for the deficiencies of existing monitoring data collection technologies in terms of efficiency, coverage, and real-time performance, significantly improves the monitoring efficiency, reduces the cost of manual intervention, and provides strong technical support for ecological protection and environmental monitoring, strongly promoting the in-depth research and wide application in the field of infrared camera monitoring.

[0006] The technical solution of the present invention is as follows: A method for collecting infrared camera monitoring data based on drones. First, by inputting the parameters of the monitoring task, the task is started and the monitoring path is planned. The drone is remotely controlled by the pilot to fly according to the set flight route to ensure that all monitoring points are covered. During the flight, the drone cooperates with the self-developed infrared induction camera, and uses a low-power microwave wake-up module to wake up the camera and start the data collection task. The collected data is transmitted through the Wi-Fi 6 high-speed transmission module to the large-capacity storage device in the self-developed drone pod to ensure the real-time storage and backup of the data. After the data transmission is completed, the drone continues to fly to the next monitoring point to perform the same task until the collection tasks of all monitoring points are completed. After the task is completed, the drone returns to the base and uploads all the collected data to the ground station or the cloud for storage and subsequent analysis and processing, providing data support for ecological protection and research.

[0007] This method, through highly automated drone flight and autonomous collection technology, not only improves the monitoring efficiency but also solves the deficiencies of existing devices through the self-developed infrared induction camera, enabling stable and accurate collection of infrared camera monitoring data in complex environments. The specific steps are as follows:

[0008] (1) Input the parameters of the drone data collection task.

[0009] In step (1), before starting the data collection task, the drone control panel needs to input the relevant parameters of the monitoring task, including the geographical location of the monitoring area, the start and end times of the task, and the specific requirements of the task. After inputting these parameters, the control panel will automatically generate an execution plan for the monitoring task.

[0010] The specific steps include:

[0011] (a) The user inputs the geographical location of the infrared induction camera for which data collection is required on the control panel of the drone remote controller;;

[0012] (b) The user inputs the geographical location of the infrared induction camera for which data collection is required on the control panel of the drone remote controller;;

[0013] (2) For the task execution plan obtained in step (1), the control panel uses the self-developed drone path calculation method to give the most suitable flight path. The flight path of the drone will be optimized according to the installation position of the camera, the task duration, and the drone flight range. The specific steps include:

[0014] (a) Path calculation: The control panel calculates the optimal flight path according to the input monitoring point position and task time using the self-developed path planning algorithm. This algorithm takes into account factors such as the drone's flight range limit, the distribution of monitoring points, and flight safety.;;

[0015] (b) Path optimization: According to the calculated path, the control panel generates a detailed flight plan, including the arrival time, hover time, data collection time, etc. for each monitoring point;

[0016] (c) Path adjustment: During the flight, the drone can dynamically adjust the flight path according to real-time environmental data (wind speed, obstacles) to ensure the smooth progress of the task..

[0017] (3) After steps (1) and (2) are completed and before the drone takes off, the system will perform a device self-check to ensure that all functions of the drone and the infrared induction camera are normal. The specific steps are as follows:

[0018] (a) Drone self-check: The drone system checks whether the battery power, flight control system, communication system, GPS positioning system, etc. are normal.

[0019] (b) Self-check report: After the self-check is completed, the system generates a self-check report showing the status of each device. If any abnormality is found, the system will prompt the user to repair or replace the device;

[0020] (4) The drone manually remotely controls the flight to the designated monitoring point according to the flight path planned in step (2) for data collection. The specific steps are as follows:

[0021] (a) Drone flight to the monitoring point: The drone manually remotely controls the flight to the first monitoring point according to the preset flight path;

[0022] (b) Hovering and data collection: After the drone arrives at the monitoring point, it hovers at the predetermined position, wakes up the infrared induction camera through the low-power microwave wake-up module, and starts the data collection task;

[0023] (c) Data transmission: The collected data is transmitted to the large-capacity storage device in the UAV pod through the Wi-Fi 6 high-speed transmission module to ensure real-time storage and backup of the data;

[0024] (d) Continue flight: After the data transmission is completed, the UAV continues to fly to the next monitoring point and repeats the above steps until the acquisition tasks of all monitoring points are completed.

[0025] (5) After the task in step (4) is completed, the data of each monitoring point is obtained. Subsequently, the system will perform a self-check on the data acquisition status to ensure the integrity and accuracy of the data. The specific steps are as follows:

[0026] (a) Data integrity check: The system checks whether the collected data is complete and whether there is any loss or damage.

[0027] (b) Data accuracy check: The system checks the accuracy of the data, including whether the timestamp, geographical location, sensor data, etc. meet the expectations.

[0028] (c) Generate self-check report: After the self-check is completed, the system generates a data acquisition integrity report to display the status of the data. If any abnormality is found, the system will prompt the user to repair or re-acquire the data;

[0029] (6) After the task is completed, the UAV returns to the base and uploads all the collected data to the ground station or the cloud for storage and subsequent analysis and processing. The specific steps are as follows:

[0030] (a) UAV returns: The UAV returns to the base manually by remote control according to the preset return path;

[0031] (b) Data upload: After the UAV returns to the base, it uploads the data stored in the pod to the ground station or the cloud server;

[0032] (c) Data storage and analysis: After receiving the data, the ground station or the cloud server stores and performs preliminary analysis to provide data support for ecological protection and research.

[0033] The advantages of the present invention compared with the prior art are as follows:

[0034] 1. Through the cooperation of the UAV and the infrared induction camera, the present invention realizes efficient data acquisition. The UAV can quickly reach the designated monitoring point without long-term manual waiting and on-site intervention, greatly shortening the data acquisition cycle. In the traditional monitoring method, researchers need to spend several days in the forest to deploy monitoring equipment and collect data, while the UAV of the present invention can complete the monitoring tasks of large areas within several hours, significantly improving the monitoring efficiency.

[0035] 2. The drone of the present invention can cover a wider area, ensuring data collection at all monitoring points. The drone is not restricted by terrain and can easily reach remote and inaccessible monitoring points, thus achieving comprehensive monitoring coverage. In contrast, traditional monitoring methods are often limited by terrain and traffic conditions and cannot comprehensively cover all monitoring points, resulting in incomplete data and inaccurate monitoring results.

[0036] 3. The present invention utilizes high-speed wireless transmission technology to achieve real-time data transmission and storage. The collected data is instantly transmitted to a large-capacity storage device inside the drone pod through a Wi-Fi 6 high-speed transmission module, ensuring real-time storage and backup of the data. This enables researchers to obtain the latest monitoring data in a timely manner for rapid analysis and decision-making. In traditional monitoring methods, data usually needs to be collected and analyzed after the monitoring is completed, with poor real-time performance and inability to respond to monitoring requirements in a timely manner.

[0037] 4. The present invention ensures high stability and reliability of the equipment through a self-developed infrared induction camera and drone system. The drone and the infrared induction camera perform self-checks before flight to ensure that all functions are normal, thus avoiding data loss and monitoring interruption caused by equipment failures. Traditional monitoring equipment is prone to failures in complex environments, affecting the continuity of monitoring and the integrity of data.

[0038] 5. In terms of data accuracy and integrity, the present invention performs a status self-check after data collection to ensure data integrity and accuracy. The system checks the integrity of the data, including whether there is any loss or damage, and checks the accuracy of the data, such as whether the timestamps, geographical locations, sensor data, etc. meet the expectations. This makes the monitoring data more reliable and provides strong data support for ecological protection and research. In contrast, in traditional monitoring methods, the integrity and accuracy of data are often difficult to guarantee, affecting the credibility and application value of monitoring results. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is the overall flowchart of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0040] In order to enable those skilled in the art of the present technology 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.

[0041] As Figure 1 shown, the present invention includes the following steps:

[0042] 1. Before starting the data collection task, the user needs to input the relevant parameters of the monitoring task on the control panel of the drone remote controller, including the geographical location of the monitoring area, the start and end times of the task, and the specific requirements of the task. After inputting these parameters, the control panel will automatically generate an execution plan for the monitoring task.

[0043] 2. According to the input monitoring task parameters, the control panel uses a self-developed drone path calculation method to give the most suitable flight path. The flight path of the drone will be optimized according to the installation position of the camera, the task duration, and the drone's flight range. Specifically, it includes drone path calculation, path optimization, and path adjustment.

[0044] Path calculation: The control panel calculates the optimal flight path using a self-developed path planning algorithm based on the input monitoring point positions and task time. This algorithm takes into account factors such as the drone's flight range limit, the distribution of monitoring points, and flight safety.

[0045] Path optimization: Based on the calculated path, the control panel generates a detailed flight plan, including the arrival time, hovering time, and data collection time at each monitoring point.

[0046] Path adjustment: During the flight, the drone can dynamically adjust its flight path according to real-time environmental data (such as wind speed and obstacles) to ensure the smooth progress of the task.

[0047] 3. Before the drone takes off, the system will perform a device self-check to ensure that all functions of the drone and the control system are normal. The specific steps are as follows: drone self-check and self-check report generation.

[0048] Drone self-check: The drone system checks whether the battery power, flight control system, communication system, GPS positioning system, etc. are normal.

[0049] Self-check report generation: After the self-check is completed, the system generates a self-check report showing the status of each device. If any abnormality is found, the system will prompt the user to repair or replace the device.

[0050] 4. The drone manually flies to the designated monitoring point according to the planned flight path for data collection. The specific steps are as follows: drone flying to the monitoring point, hovering and data collection, data transmission, and task loop.

[0051] Drone flying to the monitoring point: The drone manually flies to the first monitoring point according to the preset flight path.

[0052] Hovering and data collection: After the drone reaches the monitoring point, it hovers at the predetermined position, wakes up the infrared induction camera through a low-power microwave wake-up module, and starts the data collection task.

[0053] Data Transmission: The collected data is transmitted to the large-capacity storage device inside the drone pod through the Wi-Fi 6 high-speed transmission module to ensure real-time storage and backup of the data.

[0054] Task Loop: After the data transmission is completed, the drone continues to fly to the next monitoring point and repeats the above steps until the collection tasks for all monitoring points are completed.

[0055] 5. After data collection is completed at each monitoring point, the system will conduct a self-check on the data collection status to ensure the integrity and accuracy of the data. The specific steps are as follows: data integrity check, data accuracy check, and generation of a self-check report.

[0056] Data Integrity Check: The system checks whether the collected data is complete and whether there is any loss or damage.

[0057] Data Accuracy Check: The system checks the accuracy of the data, including whether the timestamp, geographical location, sensor data, etc. meet the expectations.

[0058] Generation of Self-Check Report: After the self-check is completed, the system generates a data collection integrity report to display the status of the data. If any abnormalities are found, the system will prompt the user to repair or re-collect the data.

[0059] 6. Data Upload: After the mission is over, the drone returns to the base and uploads all the collected data to the ground station or the cloud for storage and subsequent analysis and processing. The specific steps are as follows:

[0060] Drone Return: The drone returns to the base manually via remote control according to the preset return path.

[0061] Data Upload: After the drone returns to the base, it uploads the data stored in the pod to the ground station or the cloud server.

[0062] Data Storage and Analysis: After receiving the data, the ground station or the cloud server stores and conducts a preliminary analysis to provide data support for ecological protection and research.

[0063] Through the above steps, the present invention provides a method for collecting infrared camera monitoring data based on a drone. By means of highly automated drone flight and autonomous collection technology, the monitoring efficiency is significantly improved, the deficiencies of existing devices are solved, and stable and accurate infrared camera monitoring data collection and transmission can be carried out in complex environments, thus providing an efficient, precise and reliable solution.

Claims

1. A method for collecting monitoring data using an infrared camera based on a drone, characterized in that Here are the steps: Step (1) input monitoring task parameters, including the geographical location of the monitoring area, the start and end time of the task, and the specific requirements of the task, and generate a monitoring task execution plan; Step (2) Using the self-developed UAV path calculation method, the optimal flight path is calculated according to the monitoring point location and mission time, and a detailed flight plan is generated; Step (3) Before the UAV takes off, perform a self-check of the equipment, including various functional checks of the UAV and the control equipment, and generate a self-check report; Step (4) The drone is manually remotely controlled to fly to the designated monitoring point according to the planned flight path, the infrared sensing camera is awakened by the low-power microwave wake-up module, the data collection task is started, and the data is transmitted to the large-capacity storage device in the drone pod through the Wi-Fi 6 high-speed transmission module; Step (5) After data collection, perform a self-check of the data collection status to check the integrity and accuracy of the data and generate a data collection integrity report; Step (6) After the mission is completed, the drone returns to the base and uploads the collected data to the ground station or the cloud for storage and subsequent analysis and processing.

2. The infrared camera monitoring data acquisition method based on unmanned aerial vehicle according to claim 1 is characterized in that: In the step (1), the input of monitoring task parameters includes: (1) Enter the geographic location of the infrared sensor camera for data collection on the control panel of the drone remote controller; (2) Enter the start and end time of the mission on the drone remote control panel to generate a mission execution table, including the collection location, estimated departure and end time, data transmission time, and return time.

3. The infrared camera monitoring data acquisition method based on unmanned aerial vehicle according to claim 1 is characterized in that: In the step (2), path calculation and optimization include: (1) The control panel calculates the optimal flight path based on the input monitoring point locations and mission time using a self-developed path planning algorithm, taking into account the range limitations of the drone, the distribution of monitoring points, and flight safety factors; (2) Generate a detailed flight plan based on the calculated path, including the arrival time, hovering time, and data collection time of each monitoring point; (3) During the flight, the UAV dynamically adjusts the flight path based on real-time environmental data to ensure the smooth progress of the mission.

4. The infrared camera monitoring data acquisition method based on unmanned aerial vehicle according to claim 1 is characterized in that: In the step (3), the device self-check includes: (1) Drone self-test: Check whether the battery power, flight control system, communication system, and GPS positioning system are normal; (2) Self-test report: Generates a self-test report showing the status of each device. If any abnormality is found, the user is prompted to repair or replace the device.

5. The infrared camera monitoring data acquisition method based on unmanned aerial vehicle according to claim 1 is characterized in that: In the step (4), data collection includes: (1) The drone flies to the monitoring point: According to the preset flight path, the drone is manually remotely controlled to fly to the first monitoring point; (2) Hovering and data collection: After arriving at the monitoring point, it hovers at the predetermined position, wakes up the infrared sensing camera through the low-power microwave wake-up module, and starts the data collection task; (3) Data transmission: The collected data is transmitted to the large-capacity storage device in the drone pod via the Wi-Fi 6 high-speed transmission module to ensure real-time storage and backup of the data; (4) Continue to fly: After the data transmission is completed, the UAV continues to fly to the next monitoring point and repeats the above steps until the data collection tasks of all monitoring points are completed.

6. The infrared camera monitoring data acquisition method based on unmanned aerial vehicle according to claim 1 is characterized in that: In the step (5), the data collection status self-check includes: (1) Data integrity check: Check whether the collected data is complete and whether there is any loss or damage; (2) Data accuracy check: Check the accuracy of the data, including whether the timestamp, geographic location, and sensor data are consistent with expectations; (3) Generate self-check report: Generate a data collection integrity report to display the status of the data. If any abnormality is found, the user is prompted to repair or re-collect data.

7. The infrared camera monitoring data acquisition method based on unmanned aerial vehicle according to claim 1 is characterized in that: In step (6), data uploading includes: (1) Return of the UAV: ​​Manually control the drone to return to the base according to the preset return path; (2) Data upload: After the drone returns to the base, the data stored in the pod is uploaded to the ground station or cloud server; (3) Data storage and analysis: After receiving the data, the ground station or cloud server will store and perform preliminary analysis to provide data support for ecological protection and research.

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