Forest intelligent cruise power supply trolley based on wireless charging and image recognition technology
The forest intelligent cruise power supply vehicle addresses battery life and charging safety issues with wireless charging and image recognition, ensuring efficient and safe power supply to unmanned equipment.
Patent Information
- Application Number
- CN202411345068.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-26
- Publication Date
- 2024-12-06
AI Technical Summary
Unmanned equipment faces challenges such as insufficient battery life, low power supply efficiency, damage to charging ports, and increased fire risks due to charging contact sparks, restricting their performance and application scope.
A forest intelligent cruise power supply vehicle equipped with wireless charging and image recognition technology, featuring a wireless power supply system, image recognition system, and energy management system, which includes a wireless charging transmitter and receiver, camera with image processor, batteries, and a main control chip for automatic cruising and energy distribution.
The system ensures precise and efficient power supply to multiple devices, improving endurance and safety by enabling contactless charging, accurate device location, and intelligent power distribution.
Smart Images

Figure CN119078560A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of wireless charging, and in particular to a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology. Background Art
[0002] In recent years, intelligent unmanned equipment and technology have developed rapidly. However, when performing tasks, unmanned equipment faces challenges such as insufficient battery life, low power supply efficiency for multiple outdoor devices, easy damage to charging ports, and increased fire risks caused by charging contact sparks. These problems seriously restrict the performance and application scope of unmanned equipment. Therefore, there is a need for an intelligent cruise power supply vehicle based on wireless charging and image recognition technology, which aims to solve the energy endurance problem of unmanned equipment during long-term working tasks and improve charging efficiency and safety. Summary of the invention
[0003] The technical problem solved by the present invention is to provide a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology to solve the problems raised in the above background technology.
[0004] The technical problem solved by the present invention is achieved by adopting the following technical solution: A forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, comprising: a vehicle body, a wireless power supply system, an image recognition system and an energy management system arranged in conjunction with the vehicle body, wherein: The wireless power supply system includes a wireless charging transmitter and a wireless charging receiver arranged in cooperation with the wireless charging transmitter, wherein the wireless charging transmitter is installed on the vehicle body, and the wireless charging receiver is installed on the device to be charged to realize contactless charging; The image recognition system includes a camera mounted on the vehicle body and an image processor electrically connected to the camera. The image processor is equipped with an image recognition algorithm to accurately locate the unmanned equipment that needs to be charged. The energy management system includes batteries for energy storage and a monitoring module for real-time data collection of battery status, so as to respectively power the vehicle body, wireless charging transmitter and camera, reasonably distribute energy and improve endurance. The vehicle body is provided with a main control chip, which is respectively connected to the wireless power supply system, the image recognition system and the energy management system. The main control chip has a built-in cruise algorithm for automatic cruising. The main control chip is connected to the wireless communication module to transmit data with the master control system to realize image transmission and remote control.
[0005] As a further embodiment of the present invention: The image recognition algorithm uses an openmv-based image recognition program, which is burned into the k210 chip. After the camera is loaded, it can continuously capture images and identify the position of a specific pattern in the image. It calculates the distance from the chip based on the position and size, and transmits it to the main control chip via serial communication.
[0006] As a further embodiment of the present invention: The master control system is a web-based system. The web backend is built based on the Flask framework, and the front end is collaboratively developed by HTML+CSS+Javascripts. It is used to display data such as the location and power of the car, and can issue control commands on the web.
[0007] As a further embodiment of the present invention: The data exchange between the web terminal and the main control chip uses the Huawei Cloud IoT platform and MQTT as the communication protocol. The main control chip or the master control system first sends the data to the Huawei Cloud platform, and then triggers the platform data flow function to forward the data to the master control system or the main control chip, realizing low-latency two-way data communication.
[0008] As a further embodiment of the present invention: The vehicle body is provided with a mechanical arm corresponding to the wireless charging transmitter. One end of the mechanical arm is fixedly mounted on the chassis of the vehicle body, and the other end is mounted with the wireless charging transmitter to adjust the direction position of the wireless charging transmitter to achieve precise docking with the wireless charging receiver and improve charging efficiency.
[0009] As a further embodiment of the present invention: When multiple devices are charged at the same time, the intensity, direction and distance of the transmitted sound waves can be changed by adjusting the wireless charging transmitter, so that multiple groups of unmanned devices can be charged at the same time, and the power distribution and charging sequence during charging can be coordinated to improve the overall charging efficiency; the wireless charging system is tested for efficiency, and the charging effects in different locations and environments are recorded to provide the best charging solutions in different occasions.
[0010] As a further embodiment of the present invention: The process steps of the wireless charging are as follows: S1. The unmanned device is connected to the web terminal wirelessly to display the power status to determine whether it needs to be charged; S2: The vehicle automatically cruises and moves, and detects unmanned equipment that needs to be charged through the camera; S3, the vehicle body moves to the corresponding position of the unmanned equipment, and adjusts the position of the wireless charging transmitter through the mechanical arm to dock with the wireless charging receiver on the unmanned equipment; S4, turn on wireless charging and monitor the charging status; S5. When wireless charging is abnormal, stop wireless charging and upload the fault code; otherwise, keep wireless charging until charging is completed.
[0011] As a further embodiment of the present invention: A preparation process of a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology includes the following steps: Step 1: System design and modeling. Based on demand analysis, complete the overall structural design of the cruise charging car, including: a. Establish a mathematical model of the wireless charging system and analyze the relationship between charging efficiency and parameters such as distance and coil size; b. Develop image recognition algorithms to achieve accurate positioning of unmanned equipment; c. Design cruise algorithm, including path planning and obstacle avoidance strategy; d. Design energy management system, including monitoring system and distribution model; e. Establish a simulation model and conduct simulation analysis to complete the initial construction and debugging of the system to ensure the normal operation of each module; Step 2: Testing and performance evaluation, including laboratory testing and outdoor field testing. The laboratory test is to test the efficiency of the wireless charging system in a controlled laboratory environment, record the charging effects at different distances and angles, and evaluate the performance of the smart cruise power supply vehicle. Step three: performance optimization and iteration: adjust the parameters of the wireless charging system, such as coil size, operating frequency, etc., according to the test results to improve charging efficiency.
[0012] As a further embodiment of the present invention: The wireless charging system is subjected to efficiency testing, comprising the following steps: a. Conduct recognition tests on the image recognition algorithm under multiple scenes and lighting conditions to evaluate its accuracy and stability; b. Test the cruise algorithm in a simulated environment and observe the path planning and obstacle avoidance behavior of the car.
[0013] As a further embodiment of the present invention: The outdoor field test selects a typical outdoor environment as a test site, such as a park, a campus, etc., and includes the following steps: a. Conduct comprehensive functional tests on the car, including wireless charging, image recognition, and cruising; b. Conduct long-term continuous operation tests to evaluate the vehicle's endurance and stability; c. Collect and analyze test data to provide a basis for subsequent performance optimization.
[0014] As a further embodiment of the present invention: The performance optimization and iteration also include: a. Optimize image recognition algorithms to improve their recognition capabilities in complex environments; b. Improve the cruise algorithm to make the car more intelligent and efficient in path planning and obstacle avoidance; c. Iterate and upgrade the car to continuously improve its overall performance.
[0015] Compared with the prior art, the beneficial effects of the present invention are: combining wireless charging with image recognition technology and applying it to an intelligent cruise power supply vehicle, which solves the endurance problem of unmanned equipment during long-term work, and also realizes precise power supply through image recognition technology, thereby improving charging efficiency and safety.
[0016] The device adopts intelligent cruising and multi-device power supply strategy: in response to the demand for simultaneous charging of multiple devices outdoors, this project introduces advanced image recognition algorithms and path planning algorithms to enable the car to have autonomous cruising and intelligent power supply capabilities. The car can dynamically adjust the power supply strategy according to environmental changes and device requirements to achieve more efficient and flexible power supply services.
[0017] Highly integrated and modular design: The project adopts highly integrated and modular ideas in both hardware and software design. This design not only simplifies the complexity and maintenance difficulty of the system, but also improves the scalability and reusability of the system.
[0018] Mathematical modeling and simulation analysis are used to optimize the cruise algorithm and wireless charging system performance; experimental verification ensures the practical applicability and reliability of the research results.
[0019] The device can achieve precise power supply and ensure the stability of power supply under different conditions to meet the needs of continuous operation of unmanned equipment. It uses image recognition technology to ensure that the car can accurately identify and locate unmanned equipment that needs to be charged, greatly improving the intelligence level of unmanned equipment. When multiple unmanned equipment need to be charged at the same time, an intelligent power supply coordination strategy is adopted to optimize the power distribution and charging sequence when multiple devices are charging at the same time, so as to improve the overall charging efficiency.
[0020] This system equipment can not only be used in the field of mechanical engineering construction, but can also be widely promoted to the power supply of unmanned equipment in agriculture, forestry, environmental protection and other industries. It is expected to promote the further development of unmanned equipment technology and the expansion of its application scope, and contribute to the development of social economy and scientific and technological progress. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 This is a schematic diagram of the control process of the intelligent cruise power supply vehicle of the present invention; Figure 2 It is a schematic diagram of the wireless charging process of the present invention; Figure 3 Prepare a flow chart for the intelligent cruise power supply vehicle of the present invention; Figure 4 It is a schematic diagram of the vehicle body structure of the present invention; Markings in the picture: 1. Vehicle body; 2. Robotic arm; 3. Wireless charging transmitter. DETAILED DESCRIPTION
[0022] In order to make the technical means for realizing the present invention, the creative features, the objectives and effects to be achieved easily understood, the present invention is further described below with reference to specific diagrams.
[0023] like Figures 1 to 4 As shown, This embodiment provides a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, including: a vehicle body 1, a wireless power supply system, an image recognition system and an energy management system arranged in conjunction with the vehicle body 1, wherein: The wireless power supply system includes a wireless charging transmitter 3 and a wireless charging receiver arranged in cooperation with the wireless charging transmitter 3. The wireless charging transmitter 3 is installed on the vehicle body 1, and the wireless charging receiver is installed on the device to be charged to realize contactless charging. The image recognition system includes a camera mounted on the vehicle body 1 and an image processor electrically connected to the camera. The image processor is installed with an image recognition algorithm to accurately locate the unmanned equipment that needs to be charged; The energy management system includes a battery for energy storage and a monitoring module for real-time collection of battery status data, so as to respectively power the vehicle body 1, the wireless charging transmitter 3 and the camera, reasonably distribute energy and improve endurance; The vehicle body 1 is provided with a main control chip to be connected to the wireless power supply system, the image recognition system and the energy management system respectively. The main control chip has a built-in cruise algorithm for automatic cruising. The main control chip is connected to the wireless communication module to transmit data with the master control system to realize image transmission and remote control.
[0024] In this embodiment, the image recognition algorithm uses an OpenMV-based image recognition program, which is burned into the K210 chip. After the camera is loaded, it can continuously capture images and identify the position of a specific pattern in the image. It calculates the distance from the chip based on the position and size, and transmits it to the main control chip via serial communication.
[0025] In this embodiment, the master control system is a constructed web terminal, the web backend is built based on the Flask framework, and the front end is developed collaboratively by HTML+CSS+Javascripts, which is used to display the location, power and other data of the car, and can issue control instructions on the web terminal. The data intercommunication between the web terminal and the main control chip uses the Huawei Cloud Iot platform, and uses MQTT as the communication protocol. The main control chip or the master control system first sends the data to the Huawei Cloud platform, and then triggers the platform data flow function to forward the data to the master control system or the main control chip, realizing low-latency two-way data communication.
[0026] In this embodiment, the vehicle body 1 is provided with a mechanical arm 2 corresponding to the wireless charging transmitter 3. One end of the mechanical arm 2 is fixedly mounted on the chassis of the vehicle body 1, and the other end is mounted with the wireless charging transmitter 3 to adjust the direction position of the wireless charging transmitter 3 to achieve precise docking with the wireless charging receiver and improve the charging efficiency.
[0027] When multiple devices are charged at the same time, the intensity, direction and distance of the transmitted sound waves can be changed by adjusting the wireless charging transmitter 3, so that multiple groups of unmanned devices can be charged at the same time, and the power distribution and charging sequence during charging can be coordinated to improve the overall charging efficiency; the efficiency of the wireless charging system is tested, and the charging effects in different positions and environments are recorded to provide the best charging solutions in different occasions.
[0028] The process steps of the wireless charging are as follows: S1. The unmanned device is connected to the web terminal wirelessly to display the power status to determine whether it needs to be charged; S2, the vehicle body 1 moves in an automatic cruising manner and detects unmanned equipment that needs to be charged through a camera; S3, the vehicle body 1 moves to the corresponding position of the unmanned equipment, and adjusts the position of the wireless charging transmitter 3 through the mechanical arm 2 to dock with the wireless charging receiver on the unmanned equipment; S4, turn on wireless charging and monitor the charging status; S5. When wireless charging is abnormal, stop wireless charging and upload the fault code; otherwise, keep wireless charging until charging is completed.
[0029] In this embodiment, a preparation process of a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology includes the following steps: Step 1: System design and modeling. Based on demand analysis, complete the overall structural design of the cruise charging car, including: a. Establish a mathematical model of the wireless charging system and analyze the relationship between charging efficiency and parameters such as distance and coil size; b. Develop image recognition algorithms to achieve accurate positioning of unmanned equipment; c. Design cruise algorithm, including path planning and obstacle avoidance strategy; d. Design energy management system, including monitoring system and distribution model; e. Establish a simulation model and conduct simulation analysis to complete the initial construction and debugging of the system to ensure the normal operation of each module; Step 2: Testing and performance evaluation, including laboratory testing and outdoor field testing. The laboratory test is to test the efficiency of the wireless charging system in a controlled laboratory environment, record the charging effects at different distances and angles, and evaluate the performance of the smart cruise power supply vehicle. The wireless charging system is subjected to efficiency testing, comprising the following steps: a. Conduct recognition tests on the image recognition algorithm under multiple scenes and lighting conditions to evaluate its accuracy and stability; b. Test the cruise algorithm in a simulated environment and observe the path planning and obstacle avoidance behavior of the car; The outdoor field test selects a typical outdoor environment as a test site, such as a park, a campus, etc., and includes the following steps: a. Conduct comprehensive functional tests on the car, including wireless charging, image recognition, and cruising; b. Conduct long-term continuous operation tests to evaluate the vehicle's endurance and stability; c. Collect and analyze test data to provide a basis for subsequent performance optimization; Step 3: Performance optimization and iteration: adjust the parameters of the wireless charging system, such as coil size, operating frequency, etc., according to the test results to improve charging efficiency; The performance optimization and iteration also include: a. Optimize image recognition algorithms to improve their recognition capabilities in complex environments; b. Improve the cruise algorithm to make the car more intelligent and efficient in path planning and obstacle avoidance; c. Iterate and upgrade the car to continuously improve its overall performance.
[0030] The above shows and describes the basic principle and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited by 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. It should be noted that, in this article, if there are relational terms such as first and second, it is only used to distinguish one entity or operation from another entity or operation, and does not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the term "includes", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
Claims
1. A forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, Features: include: The vehicle body is equipped with a wireless power supply system, an image recognition system and an energy management system, wherein: The wireless power supply system includes a wireless charging transmitter and a wireless charging receiver arranged in cooperation with the wireless charging transmitter, wherein the wireless charging transmitter is installed on the vehicle body, and the wireless charging receiver is installed on the device to be charged to realize contactless charging; The image recognition system includes a camera mounted on the vehicle body and an image processor electrically connected to the camera. The image processor is equipped with an image recognition algorithm to accurately locate the unmanned equipment that needs to be charged. The energy management system includes batteries for energy storage and a monitoring module for real-time data collection of battery status, so as to respectively power the vehicle body, wireless charging transmitter and camera, reasonably distribute energy and improve endurance. The vehicle body is provided with a main control chip, which is respectively connected to the wireless power supply system, the image recognition system and the energy management system. The main control chip has a built-in cruise algorithm for automatic cruising. The main control chip is connected to the wireless communication module to transmit data with the master control system to realize image transmission and remote control.
2. According to claim 1, a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, Features: The image recognition algorithm uses an openmv-based image recognition program, which is burned into the k210 chip. After the camera is loaded, it can continuously capture images and identify the position of a specific pattern in the image. It calculates the distance from the chip based on the position and size, and transmits it to the main control chip via serial communication.
3. According to claim 1, a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, Features: The master control system is a web-based system. The web backend is built based on the Flask framework, and the front end is collaboratively developed by HTML+CSS+Javascripts. It is used to display data such as the location and power of the car, and can issue control commands on the web.
4. According to claim 3, a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, Features: The data exchange between the web terminal and the main control chip uses the Huawei Cloud IoT platform and MQTT as the communication protocol. The main control chip or the master control system first sends the data to the Huawei Cloud platform, and then triggers the platform data flow function to forward the data to the master control system or the main control chip, realizing low-latency two-way data communication.
5. According to claim 2, a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, Features: The vehicle body is provided with a mechanical arm corresponding to the wireless charging transmitter, one end of the mechanical arm is fixedly mounted on the chassis of the vehicle body, and the other end is mounted with the wireless charging transmitter to adjust the direction and position of the wireless charging transmitter to achieve precise docking with the wireless charging receiver and improve charging efficiency; When multiple devices are charged at the same time, the intensity, direction and distance of the transmitted sound waves can be changed by adjusting the wireless charging transmitter, so that multiple groups of unmanned devices can be charged at the same time, and the power distribution and charging sequence during charging can be coordinated to improve the overall charging efficiency; the wireless charging system is tested for efficiency, and the charging effects in different locations and environments are recorded to provide the best charging solutions in different occasions.
6. According to claim 5, a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, Features: The process steps of the wireless charging are as follows: S1. The unmanned device is connected to the web terminal wirelessly to display the power status to determine whether it needs to be charged; S2: The vehicle automatically cruises and moves, and detects unmanned equipment that needs to be charged through the camera; S3, the vehicle body moves to the corresponding position of the unmanned equipment, and adjusts the position of the wireless charging transmitter through the mechanical arm to dock with the wireless charging receiver on the unmanned equipment; S4, turn on wireless charging and monitor the charging status; S5. When wireless charging is abnormal, stop wireless charging and upload the fault code; otherwise, keep wireless charging until charging is completed.
7. A preparation process of a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology according to any one of claims 1 to 6, Features: The steps include: Step 1: System design and modeling. Based on demand analysis, complete the overall structural design of the cruise charging car, including: a. Establish a mathematical model of the wireless charging system and analyze the relationship between charging efficiency and parameters such as distance and coil size; b. Develop image recognition algorithms to achieve accurate positioning of unmanned equipment; c. Design cruise algorithm, including path planning and obstacle avoidance strategy; d. Design energy management system, including monitoring system and distribution model; e. Establish a simulation model and conduct simulation analysis to complete the initial construction and debugging of the system to ensure the normal operation of each module; Step 2: Testing and performance evaluation, including laboratory testing and outdoor field testing. The laboratory test is to test the efficiency of the wireless charging system in a controlled laboratory environment, record the charging effects at different distances and angles, and evaluate the performance of the smart cruise power supply vehicle. Step three: performance optimization and iteration: adjust the parameters of the wireless charging system, such as coil size, operating frequency, etc., according to the test results to improve charging efficiency.
8. According to claim 7, the preparation process of a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, Features: The wireless charging system is subjected to efficiency testing, comprising the following steps: a. Conduct recognition tests on image recognition algorithms in multiple scenes and under multiple lighting conditions to evaluate their accuracy and stability; b. Test the cruise algorithm in a simulated environment and observe the path planning and obstacle avoidance behavior of the car.
9. According to claim 7, the preparation process of a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology, Features: The outdoor field test selects a typical outdoor environment as a test site, and includes the following steps: a. Conduct comprehensive functional tests on the car, including wireless charging, image recognition, and cruising; b. Conduct long-term continuous operation tests to evaluate the vehicle's endurance and stability; c. Collect and analyze test data to provide a basis for subsequent performance optimization.
10. The preparation process of a forest intelligent cruise power supply vehicle based on wireless charging and image recognition technology according to claim 7, Features: The performance optimization and iteration also include: a. Optimize image recognition algorithms to improve their recognition capabilities in complex environments; b. Improve the cruise algorithm to make the car more intelligent and efficient in path planning and obstacle avoidance; c. Iterate and upgrade the car to continuously improve its overall performance.
