Bamboo forest management and automatic acquisition system
The bamboo forest management system, which combines a drone system with a central information processor, has solved the problem of locating bamboo in bamboo forests, enabling efficient and automated bamboo harvesting and improving operational efficiency and accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-08
- Publication Date
- 2026-04-03
AI Technical Summary
In modern landscape design, finding bamboo of specific thickness and length is tedious and inefficient, and it is difficult to locate suitable bamboo in a vast bamboo forest.
The unmanned aerial vehicle (UAV) system, consisting of a map information collector and a bamboo information collector, combined with a central information processor, database, and prediction library, generates a 3D map and prediction model to achieve dynamic management of bamboo forests and efficiently collect bamboo through an automated collection system.
It enables efficient and automated harvesting of bamboo in bamboo forests, improves operational efficiency, reduces the tedious process of manual searching, and ensures that the harvested bamboo meets design requirements.
Smart Images
Figure CN121785213A_ABST
Abstract
Description
Technical Field
[0001] This invention discloses a bamboo forest management and automated harvesting system, belonging to the field of bamboo harvesting. Background Technology
[0002] Bamboo is a natural and extremely strong plant.
[0003] Existing bamboo grows rapidly, causing its size to change daily. In modern landscape design, bamboo of specific thickness and length is often required. However, finding suitable bamboo in the vast bamboo forest is extremely difficult, often requiring experienced masters to search for it based on their experience in the bamboo grove. This process is cumbersome and inefficient.
[0004] A new solution is proposed to address the above problems. Summary of the Invention
[0005] The purpose of this invention is to provide a bamboo forest management and automated data collection system to solve the above-mentioned problems.
[0006] This invention achieves the above objectives through the following technical solution: a bamboo forest management system, comprising: The map information collector enters the forest area from the air to create and locate basic maps. The bamboo information collector enters the forest through the ground to mark the bamboo and bind the marking signal to the map positioning. The central information processor receives, processes, and labels the information collected by the map information collector and the bamboo information collector.
[0007] The database collects information on bamboo at different levels and heights through a central information processor, and then records the digitally collected information. The prediction database uses a central information processor to iteratively analyze the bamboo information already established in the database and predict the information for the next iteration. This allows for predictions to be made even when the bamboo information collector has not been updated, providing a reference for future reference. The three-dimensional map is formed by creating two sets of overlapping three-dimensional models based on the established database and prediction library, so as to facilitate the dynamic management of the forest farm. The operating terminal is used to display information and send control signals to various components.
[0008] Preferably, the bamboo information collector is equipped with a horizontal height detector, and the horizontal height is watermarked at the center of each captured image.
[0009] Preferably, the map information collector and the bamboo information collector are always kept on the same vertical line.
[0010] Preferably, the prediction library uses AI-enabled neural networks to learn itself, and iteratively learns by utilizing the data differences from each bamboo information collector.
[0011] An automated bamboo forest harvesting system includes: The transportation module retrieves a 3D map of the bamboo forest, analyzes the optimal placement route, and installs the bamboo along the route after felling it and compacting the soil. The drag module is fixedly connected to the transport module and contains a positioning chip. The quick-install module is mounted on the bamboo information collector and is used to quickly connect to other peripheral modules. The cutting module, belonging to the peripheral module, is installed on the quick-install module and is used to cut bamboo. The clamping module, belonging to the peripheral module, is installed on the quick-release module. It is formed by the combination of a fixed claw, a movable claw, and a drag rope. The fixed claw has a rope hole along its length, and the movable claw has a pull point. One end of the drag rope passes through the rope hole and is fixed to the pull point. The other end has a connector for connecting with the positioning drag module. A torsion spring is installed between the fixed claw and the moving claw, and the moving claw can move towards the fixed claw when the towing rope slides away from the moving claw.
[0012] Preferably, the transportation module is set up in several groups, all of which run through the bamboo forest.
[0013] Preferably, when the cutting module is installed on the bamboo information collector, the bamboo information collector is automatically classified as a collection module.
[0014] Preferably, the cutting module is an electric bamboo cutting shear.
[0015] Preferably, the quick-install module includes a detachable power bank and signal transceivers, a camera, an electrically operated clamping module clamp, an electrically operated cutting module clamp, and a signal processor that are electrically connected to each other.
[0016] Compared with existing technologies, the advantages of this invention are: It collects data on the size and shape of bamboo forests from the air using a map information collector, and uses this data to directly locate the bamboo information collector located inside the forest, avoiding signal interruptions caused by the forest when the collector enters. Furthermore, the bamboo information collector conducts daily patrols within the forest, rapidly iterating on changes in the bamboo and generating two sets of three-dimensional data. Intelligent algorithms then provide real-time predictions of bamboo growth. The desired bamboo shape is then input into the operating terminal, allowing the collection module to collect the bamboo and the transportation module to transport it out of the forest. Attached Figure Description
[0017] Figure 1 This is a schematic diagram of a bamboo forest management and automated data collection system according to the present invention. Detailed Implementation
[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. In this description, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0019] like Figure 1 As shown: Example
[0020] A bamboo forest management system, comprising: The map information collector enters the forest area from the air to create and locate basic maps. The bamboo information collector enters the forest through the ground to mark the bamboo and bind the marking signal to the map positioning. The bamboo information collector carries a horizontal height detector, and the current horizontal height is marked by a watermark at the center of each captured image. The central information processor receives, processes, and marks the information collected by the map information collector and the bamboo information collector. The database collects information on bamboo at different levels and heights through a central information processor, and then records the digitally collected information. The prediction database uses a central information processor to iteratively analyze the bamboo information already established in the database and predict the information for the next iteration. This allows for predictions to be made even when the bamboo information collector has not been updated, providing a reference for future reference. The three-dimensional map is formed by creating two sets of overlapping three-dimensional models based on the established database and prediction library, so as to facilitate the dynamic management of the forest farm. The operating terminal is used to display information and send control signals to various components. The map information collector and the bamboo information collector are always kept on the same vertical line. The prediction library uses AI-powered neural networks to learn itself, iterating through the differences in data collected from bamboo information collectors each time.
[0021] In this embodiment, both the map information collector and the bamboo information collector are drones.
[0022] In the central information processor, a bamboo image analysis AI is deployed to analyze the bamboo photos captured by the camera on the bamboo information collector. By annotating the diameter, curvature, and ellipticity features of at least 1,000 bamboo photos, a YOLOv11+Transformer model is trained. The data of manual measurement and AI measurement are compared. Once the error value is confirmed to be less than 0.1cm, the deployment is complete. In the central information processor, growth prediction AI is deployed to import historical growth change data into the LSTM+attention mechanism model, build data linkage of height, diameter, environment and time, and realize an automated process of using measured data to iterate the model to make prediction output. In the central information processor, a 3D model dynamic generation and fusion AI is deployed. The NeRF point cloud modeling model is trained based on the measured data, the mesh filling algorithm of the single plant tissue is optimized, and an overlapping rendering engine of the measured model and the prediction model is established. Then, the data is lightweighted and adapted to the operation terminal for display. In the map information collector and bamboo information collector, a dual-mechanism collaboration and path planning are deployed. Based on the constructed forest map, the flight path is learned and planned, a deep reinforcement learning (DRL) model is trained, and the decision-making logic for dual-aircraft flight and obstacle avoidance is optimized.
[0023] When using this product, the map information collector must first be launched into the forest area to acquire basic forest information from the air. Then, the forest area is manually demarcated. After the forest area is demarcated, the map information collector returns. At this point, the bamboo information collector is activated and its signal is linked to the map information collector. Both the map information collector and the bamboo information collector can then be launched. The map information collector will fly over the bamboo information collector. The distance between the map information collector and the bamboo information collector should be greater than the height of the tallest bamboo in the forest. Then, the bamboo information collector is used to enter the forest area. This is done manually, and the bamboo information collector will record the flight data. After the bamboo information collector marks the location of each bamboo on the map under manual operation, a basic two-dimensional map is established. At this time, the operation terminal displays the bamboo location and basic parameters in the form of a bar chart. Then, the automated information iteration function is activated. The bamboo information collector will then collect detailed information on each marked bamboo. The collection method is as follows: collect diameter information photos of the same bamboo at three or more different horizontal positions, with two diameter information photos taken at a horizontal height of 10cm above the ground and at a minimum diameter of less than 5cm. At least two diameter information photos must be collected on the same horizontal plane. The bamboo data acquisition system ensures that the lines connecting the selected points of the two photos on the same horizontal plane to the center of the bamboo are perpendicular to each other. The bamboo data acquisition device automatically marks the horizontal height during diameter acquisition. The central information processor then uses the difference between adjacent diameter information and the horizontal height to determine the thickness variation between the two horizontal positions of the bamboo. Automatic grid filling modeling is then used to display the effective length and effective diameter of the bamboo on the map. Comparing the photos with the vertical acquisition points reveals whether the bamboo is elliptical, and determining whether there is an angle between the captured photos and the vertical direction reveals whether the bamboo is bending. After the bamboo data acquisition device completes the first data recording, it iterates and updates the bamboo information according to the designed frequency. Simultaneously, the central information processor begins the second iteration, automatically calculating and predicting the third iteration, and overlaying the predicted data with the actual data. The algorithm is then updated with each iteration to ensure prediction accuracy. If the effective length change is less than 1cm and the diameter change is less than 0.2cm for three consecutive iterations, the iteration cycle is reduced to decrease computation. If there is no change for three consecutive iterations, growth is stopped, and the iteration cycle is adjusted to once a month. Example
[0024] An automated bamboo forest harvesting system includes: The transportation module retrieves a 3D map of the bamboo forest, analyzes the optimal placement route, and installs the bamboo after cutting down the bamboo and compacting the land along the way. There are several sets of transportation modules, all of which run through the bamboo forest. The drag module is fixedly connected to the transport module and contains a positioning chip. The quick-install module, installed on the bamboo information collector, is used to quickly connect other peripheral modules. The quick-install module includes a detachable power bank and signal transceivers, cameras, electric clamping module clamps, electric cutting module clamps, and signal processors that are electrically connected to each other.
[0025] The cutting module, belonging to the peripheral module, is installed on the quick-installation module and is used to cut bamboo. When the cutting module is installed on the bamboo information collector, the bamboo information collector is automatically coded as a collection module. The cutting module uses electric bamboo cutting shears. The clamping module, belonging to the peripheral module, is installed on the quick-release module. It is formed by the combination of a fixed claw, a movable claw, and a drag rope. The fixed claw has a rope hole along its length, and the movable claw has a pull point. One end of the drag rope passes through the rope hole and is fixed to the pull point. The other end has a connector for connecting with the positioning drag module. A torsion spring is installed between the fixed claw and the moving claw, and the moving claw can move towards the fixed claw when the towing rope slides away from the moving claw. This embodiment also requires the operating terminal and central information processor from Embodiment 1 to achieve automated control.
[0026] First, the 3D map generated in Example 1 is analyzed to determine the optimal route for dragging bamboo in the bamboo forest. Then, the transport module is installed manually. This transport module is suspended by a steel cable, and a motor-driven wheel moves the cable. After installation, the dragging module is fixed to the steel cable. The rotation of the motor-driven wheel then causes the cable to slide. Once debugging is complete, it is ready for use. A quick-assembly module is installed on the bamboo information collector, and then the clamping module is fixed using an electric clamping clamp. The cutting module is then fixed using an electric cutting module. The collection module is now assembled. Simply select the bamboo that meets the requirements in the terminal, and the collection module will fly to the corresponding bamboo location using the 3D map. The bamboo parameters can then be measured again to confirm the selection. Collection can be performed manually or automatically with one click. The collection process involves: first, using the transport module… The dragging module is transported to the vicinity of the bamboo. Based on the 3D map and the length of the dragging rope, the line connecting the dragging module and the bamboo is ensured to be free of other bamboo or obstacles. At this point, the collection module can fix the joint of the dragging rope to the dragging module. Then, the collection module, with its fixed and movable claws, moves towards the bamboo and moves until the middle connection of the movable and fixed claws overlaps with the length direction of the bamboo. At this point, the cutting point of the cutting module also overlaps with the length direction of the bamboo. The transport module slightly moves, causing the dragging rope to taut and prompting the movable claw to move towards the fixed claw to clamp the bamboo. At this time, the clamping module's fixing clamp is released, and the cutting module cuts the bamboo. When the cutting module completes the cutting, the transport module drives the dragging module, causing the clamping module to apply a dragging force to the lower end of the bamboo, thereby guiding the bamboo to tilt away from the dragging module and the collection module. Simultaneously, the collection module completes the collection task and automatically resets. The transport module drags the bamboo out of the bamboo forest through the clamping module.
[0027] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.
[0028] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.
Claims
1. A bamboo forest management system, characterized in that, include: The map information collector enters the forest area from the air to create and locate basic maps. The bamboo information collector enters the forest through the ground to mark the bamboo and bind the marking signal to the map positioning. The central information processor receives, processes, and marks the information collected by the map information collector and the bamboo information collector. The database collects information on bamboo at different levels and heights through a central information processor, and then records the digitally collected information. The prediction database uses a central information processor to iteratively analyze the bamboo information already established in the database and predict the information for the next iteration. This allows for predictions to be made even when the bamboo information collector has not been updated, providing a reference for future reference. The three-dimensional map is formed by creating two sets of overlapping three-dimensional models based on the established database and prediction library, so as to facilitate the dynamic management of the forest farm. The operating terminal is used to display information and send control signals to various components.
2. The bamboo forest management system according to claim 1, characterized in that: The bamboo information collector is equipped with a horizontal height detector, and the horizontal height is watermarked at the center of each captured image.
3. The bamboo forest management system according to claim 1, characterized in that: The map information collector and the bamboo information collector are always kept on the same vertical line.
4. A bamboo forest management system according to claim 1, characterized in that: The prediction library uses AI-powered neural networks to learn itself, iterating through the differences in data collected from bamboo information collectors each time.
5. An automated bamboo forest data collection system, applied to a bamboo forest management system as described in any one of claims 1-4, characterized in that: include: The transportation module retrieves a 3D map of the bamboo forest, analyzes the optimal placement route, and installs the bamboo along the way after felling it and compacting the soil. The drag module is fixedly connected to the transport module and contains a positioning chip. The quick-install module is mounted on the bamboo information collector and is used to quickly connect to other peripheral modules. The cutting module, belonging to the peripheral module, is installed on the quick-install module and is used to cut bamboo. The clamping module, belonging to the peripheral module, is installed on the quick-release module. It is formed by the combination of a fixed claw, a movable claw, and a drag rope. The fixed claw has a rope hole along its length, and the movable claw has a pull point. One end of the drag rope passes through the rope hole and is fixed to the pull point. The other end has a connector for connecting with the positioning drag module. A torsion spring is installed between the fixed claw and the moving claw, and the moving claw can move towards the fixed claw when the towing rope slides away from the moving claw.
6. The bamboo forest automated harvesting system according to claim 5, characterized in that: The transportation module consists of several sets, all of which run through the bamboo forest.
7. The bamboo forest automated harvesting system according to claim 5, characterized in that: When the cutting module is installed on the bamboo information collector, the bamboo information collector is automatically classified as a collection module.
8. The bamboo forest automated harvesting system according to claim 5, characterized in that: The cutting module uses electric bamboo cutting shears.
9. The bamboo forest automated data collection system according to claim 5, characterized in that: The quick-install module includes a detachable power bank and signal transceivers, a camera, an electric clamping module clamp, an electric cutting module clamp, and a signal processor that are electrically connected to each other.