32 results about "Standing tree" patented technology

The invention discloses a handheld forest region sample plot calibration surveying and mapping device and method, and relates to the technical field of forest resource investigation, and the device comprises a laser radar, a visual camera and a global navigation satellite system / inertial orientation positioning navigation system integrated navigation unit; when a user carries the device to move, the processing unit constructs a three-dimensional point cloud map and calculates a six-degree-of-freedom pose; when the signal of the global navigation satellite system is unavailable, calculating a current position by combining the three-dimensional point cloud map, the six-degree-of-freedom pose and inertial data; and the processing unit calculates parameters of the stumpage and the candidate area and generates a sample plot calibration surveying and mapping report. According to the invention, the device achieves the synchronous capturing of the characteristics of the trunk base and the canopy at a handheld height, an operator only needs to click and select an initial position on a touch screen, and the system combines laser instant positioning and map construction with a global navigation satellite system / inertial orientation positioning navigation system for tight coupling positioning. And automatically generating sample plot boundaries and ecological parameters conforming to regulations.

The invention relates to a stumpage diameter at breast height measuring method and device, computer equipment and a storage medium, a rectangular positioning mark with four corner points is arranged in a target chest height area of a stumpage to be measured, a camera is utilized to shoot a stumpage image containing a trunk and the positioning mark, and meanwhile, inherent parameters of the camera and actual size information of the positioning mark are obtained. Identifying a trunk image in the standing tree image and the pixel position of each corner point of the positioning identifier, calculating the size information of the positioning identifier in the image, and further establishing a first image space coordinate system; and meanwhile, determining space pose parameters of the camera relative to the first image space coordinate system according to inherent parameters of the camera, the pixel position of the positioning identifier and the actual size information. And finally, according to the established first image space coordinate system and the camera space pose parameters, determining a projection image of the breast height section of the stumpage to be measured in the trunk image, and analyzing edge pixel points of a projection area to solve the diameter of the breast height section as the diameter at breast height.

When felling trees, it is important to determine which trees to fell and in what direction to fell them. [Solution] The logging decision system 10 is a system that determines a candidate tree for logging and the logging direction of said tree from a plurality of standing trees present in a forest, and comprises: an acquisition unit 11 that acquires 3D data showing the shape and position of the leaf portion for each of the plurality of standing trees; a standing tree determination unit 12 that determines a candidate tree for logging according to the amount of leaves of each of the plurality of standing trees based on the 3D data acquired by the acquisition unit 11; and a logging direction determination unit 13 that determines the logging direction for the candidate tree for logging determined by the standing tree determination unit 12 according to the positional relationship between the candidate tree for logging and the leaves of standing trees other than the candidate tree for logging, as shown by the 3D data.

To prevent the collapse of a slope with a standing tree, and to prevent damage to the downstream caused by the standing tree becoming a driftwood.SOLUTION: A structure for stabilizing a slope having a standing tree 5 includes a net 6 that forms a standing tree exclusion area 63 so as to exclude a portion of the standing tree 5 and that is laid on the slope, a reinforcing material 1 that is driven into the slope at an intersection 62 of the net 6 and that transmits a force received from the slope to the net 6 via the intersection, and a rope 10 that is wound around a root of the standing tree 5, that is connected to the intersection 62 of the net 6 located on an upper side of the slope relative to the standing tree 5, and that causes a fallen tree load to act on the reinforcing material 1 disposed on the upper side of the slope relative to the standing tree 5.SELECTED DRAWING: Figure 2

The present invention relates to the technical field of carbon sequestration in standing trees, and particularly to a method, device and acquisition equipment for predicting the carbon sequestration capacity of a single standing tree. The method includes: obtaining the stem moisture data and microenvironment parameter data of the single standing tree to be predicted; preprocessing the stem moisture data and microenvironment parameter data to obtain principal component data; inputting the principal component data into a preset carbon sequestration capacity prediction model for prediction to obtain the prediction result of the carbon sequestration capacity of the single standing tree to be predicted. The purpose of the present invention is to solve the problems in the prior art that predicting the carbon sequestration capacity of a single standing tree is likely to cause damage to plants, with large prediction errors, resulting in low accuracy of predicting the carbon sequestration capacity of a single standing tree.

The present invention discloses a forest litter collection device, comprising an adjustable inner ring, which is sleeved on the outside of a tree trunk; a plurality of retractable extension rods, each of which is arranged around the tree trunk, one end of each retractable extension rod being connected to the adjustable inner ring, and a retractable movable device being provided below the retractable extension rod; at least one group of extension rods, one group of which is connected to the retractable extension rod, and the other groups of extension rods being connected end to end, and a retractable device being provided below the extension rod; and a collection net, each of which is laid on the retractable extension rod and the extension rod, and is fixed to the retractable extension rod or the extension rod, with a sealing net being laid between adjacent collection nets. The present invention can adapt to different terrain slopes and diverse forest surface conditions, making the collection device more stable and meeting the needs of collecting litter from standing trees with different diameters at breast height.

The invention provides a cutting work vehicle capable of safely and stably dumping a cut standing tree in a stable direction. The present invention is a cutting work vehicle (1) for cutting stumpage, comprising: a vehicle body (2); a travel device (4); a rotating frame (6) disposed between the travel devices and provided with a recess (6a) for receiving the standing tree to be cut from the front side; a gripper device (8) connected to the rotating frame and having a gripper for holding the standing tree to be cut received in the recess of the rotating frame; and a cutting device (12) that cuts the standing wood held by the gripper device at a position below the gripper, the rotating frame is attached to the vehicle body so as to be rotatable about a rotation axis (6b), the rotation axis is positioned further toward the front side than the standing wood held by the gripper device, and the standing wood held by the gripper device is cut by the rotation of the rotating frame. The cut stumpage can be toppled to the front of the vehicle main body.

The utility model relates to the technical field of standing tree measuring equipment, in particular to a tree diameter at breast height measuring device, which comprises a diameter at breast height ruler for measuring the diameter at breast height of a trunk and a length-variable fixing device for fixing the diameter at breast height ruler, and a fixing rod is detachably connected below the fixing device. One end of the fixing device is fixedly provided with an accommodating box for accommodating the DBH ruler; one end of the DBH ruler extends out of the accommodating box and is fixedly connected with one end, far away from the accommodating box, of the fixing device; the fixing device can be connected end to end around a trunk to be measured through length change. Compared with the prior art, the fixing device capable of driving the DBH ruler to surround the trunk by one circle is arranged, so that the technical problems that an existing tree DBH measuring device is troublesome to use and the labor intensity of operators is increased on the premise that the DBH numerical value is accurately measured are solved.

This invention discloses a method for collecting and converting remote sensing coordinate information of dead trees infected with pine wilt disease, belonging to the field of information conversion technology. The method comprises the following steps: Step 1: Accessing a pine forest data management database; Step 2: Identifying dead trees based on remote sensing images; Step 3: Coordinate matching; Step 4: Visual marking; and Step 5: Coordinate information conversion: Based on the coordinate information and the pine forest data management database, the remote sensing coordinate information is converted into prevention and control task information. By identifying dead trees based on remote sensing images and converting the coordinate information, the present invention accurately locates and identifies dead trees infected with pine wilt disease, thereby achieving efficient and comprehensive dead tree information collection, effectively addressing the inefficiency and omissions of manual inspections in existing technologies.

The invention relates to a standing tree height measurement method based on TOF distance measurement and laser point cloud, and the method comprises the steps: S1, enabling an unmanned plane to hover above a to-be-measured forest region, and arranging a measurement instrument on a first to-be-measured standing tree; s2A, the unmanned aerial vehicle obtains the longitude and latitude and the altitude, and the measuring instrument obtains the longitude and latitude and the altitude; s2B, the unmanned aerial vehicle measures the distance between the unmanned aerial vehicle and the treetop of the first standing tree to be measured; s2C, the unmanned aerial vehicle measures the distance between the unmanned aerial vehicle and the measuring instrument and marks the distance; s3, the measuring instruments are sequentially arranged on the rest standing trees to be measured, and the longitude and latitude, the altitude, the treetop distance and the tree diameter distance of each standing tree are measured respectively; and S4, importing data acquired by the unmanned aerial vehicle and the measuring instrument into a tree height measuring platform, and measuring the height of each standing tree. The standing tree height measurement method based on the TOF distance measurement and the laser point cloud has the advantage of quickly and accurately measuring the height of the standing tree in an area.

The application discloses a UAV remote sensing dead standing tree detection method based on a double-flow feature integrated network, and belongs to the technical field of UAV image processing.The application significantly improves the recognition accuracy of small targets and image edge region targets by fusing features of different levels.In addition, the application also introduces a DBB module.The DBB module contains multiple branches of different scales and complexities, enhances the feature expression capability of the convolution block, and effectively reduces the missing detection rate of the dense crown sheltering area.Meanwhile, the effective combination of the double-branch feature fusion main body and the DBB module fully excavates the features of the dead standing tree, enhances the propagation of the features in the network, and overcomes the small sample problem.In addition, considering that the crown is sparse after the dead branches and leaves, the introduction of a large amount of background information reduces the detection accuracy, and the SEAM is introduced.The SEAM module enhances the attention to the detail features of the dead standing tree, such as color, edges and corners and texture, effectively improves the recognition ability of the model to the dead branch features in the crown layer, and reduces the interference of the background information.

The invention provides a standing tree cutting degree parameter automatic inversion method based on a ground-based laser radar and deep learning, and relates to the technical field of forest tree measurement. The method comprises the following steps: acquiring an original three-dimensional laser point cloud based on multi-station scanning, and acquiring a clean trunk point cloud; and generating a high-density diameter-height observation data set through axial skeletonization extraction and slicing processing in combination with circle fitting calculation. A variable parameter cutting degree equation model introducing a relative tree height ratio and a height-diameter ratio factor is constructed, and a residual sum of squares objective function is established; and iteratively solving the optimal shape parameter vector by using a nonlinear least square algorithm, and outputting a model parameter of the target stumpage when a precision evaluation index is met. According to the method, the problem of measurement errors caused by branch and leaf shielding in a complex under-forest environment is effectively solved, a traditional destructive survey mode of cutting down and analyzing trees is replaced, non-destructive, high-precision and automatic inversion of standing tree cutting degree parameters is achieved, and the efficiency and the digital level of forest resource monitoring are improved.

This invention discloses a method for determining the volume of a single standing tree based on a backpack-mounted lidar, belonging to the field of forestry surveying and remote sensing technology. During system operation, the three-dimensional point cloud acquired by the backpack-mounted lidar is preprocessed, a unified coordinate system is established, and non-terrestrial point clouds are extracted. Individual tree segmentation is achieved by combining density peak clustering and vertical profile connectivity analysis, obtaining individual tree point cloud clusters. Equally spaced evaluation layers are divided along the tree height direction, and the effective point density, azimuth coverage, and normal vector consistency of each layer are calculated to determine the data reliability level. A high-reliability layer is selected, and weighted least squares circle fitting is used to obtain the center and radius of the cross-section, which are then used as observation constraints. Typical trunk tapers of the same tree species and age group are introduced as morphological priors. The optimal parameterized surface model is solved through Bayesian inference, and finally, the volume of a single standing tree is calculated by integrating the Huber formula.

1. The name of the design product: gasoline chain saw. 2. The use of the design product: for garden work such as cutting branches of standing trees and trimming hedges. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The invention relates to a wood mechanical property prediction method, system and device based on standing tree stress wave data and a medium, and the method comprises the steps: obtaining standing tree longitudinal wave velocity data, living wood density, standing tree water content, forest germplasm and tree age; the method comprises the following steps: triggering node defect screening on standing timber longitudinal wave velocity data based on wave velocity gradient abrupt change response, performing correction in combination with water content, outputting standard longitudinal wave velocity data, performing boundary effect compensation, generating log equivalent wave velocity, performing gradient correction in combination with a radial space distribution relationship between a detection node and a pith, and outputting a corrected wave velocity parameter; and constructing a dynamic elastic modulus prediction model through multi-source coupling, predicting and outputting a dynamic elastic modulus, converting the dynamic elastic modulus into a static reference modulus, conditionally introducing a tree age attenuation factor to apply correction, and obtaining a final static elastic modulus. According to the method, through the coupling analysis and dynamic correction mechanism of the multi-source stress wave data, the precision and applicability of mechanical property prediction of the standing tree are remarkably improved.

A method for measuring and analyzing a forest area for a forestry vehicle. The forestry vehicle comprises a tree detection device coupled to the vehicle and configured to detect trees in the forest area. A vehicle positioning device coupled to the vehicle and configured to detect a position and an orientation of the vehicle. A forest work area is divided into homogeneous square areas or a grid. The tree detection device identifies standing trees which are assigned to the grid, so that an average tree amount or a tree density is detected. The tree amount or density is displayed on a display coupled in an operation cabin of the vehicle.

The invention discloses a growth strain measurement method based on a wood form. The method comprises the following operation steps: (1) determining a man-made forest quadrat; (2) a cross tree selection method: selecting a plurality of target standing trees which vertically grow in the same row and the same row with the target standing trees which vertically grow in the center of the quadrat by taking the target standing trees which vertically grow in the center of the quadrat as a reference; (3) sample tree measuring point selection: selecting four points at the long diameter and the short diameter of the high position of the trunk of the standing tree; and (4) measuring the growth strain of the sample wood. According to the method, the long diameter, the short diameter and the long diameter of the chest height are selected as test points, tree trunk shape variation is linked, a larger extreme value is obtained, the test data are closer to the actual state of wood growth stress while the test accuracy and precision are remarkably improved, and powerful data support is provided for optimization of tree breeding and cultivation technologies.

The utility model relates to the technical field of planting equipment, in particular to a dendrobium officinale ecological planting fixing device which comprises a fixing frame, a bottom fixator, a top fixator and planting wood, the fixing frame is of a rectangular frame body structure, the bottom fixator is arranged in the fixing frame, and the planting wood is arranged on the upper portion of the bottom fixator. One end of the planted wood is limited through a top fixer to form a standing tree planting mechanism; the bottom fixator comprises a bearing table, a transverse pushing plate, a bearing seat, a first screw rod and a first arc-shaped limiting plate, the bearing table is slidably connected with a first sliding strip on the fixing frame through a first sliding groove in the bottom, a circular opening is formed in the upper portion of the bearing table, and the transverse pushing plate and the first arc-shaped limiting plate are arranged on the two sides of the circular opening. According to the wood fixing device, wood of different sizes can be fixed, the planting space of a greenhouse is effectively saved, and therefore diversified planting requirements are met.

1. The name of the design product: standing tree height measuring device. 2. The use of the design product: for measuring standing tree height. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present invention provides a non-contact method for measuring the diameter at breast height (DBH) of standing trees. Based on low-cost passive optical devices and active optical devices, it can be effectively applied under various forest stands. By integrating these two low-cost optical devices, namely the passive optical device and the active optical device, the passive optical device is used to obtain two-dimensional image information containing the target standing tree, and the active optical device is used to obtain the distance information from the integrated device to the target standing tree. Calibrate the integrated device to obtain the basic parameter information of the device. Estimate the breast height position in the two-dimensional image considering the terrain conditions. Rotate the integrated device to the horizontal and aim at the target standing tree to obtain the two-dimensional image containing the target standing tree and the distance information from the integrated device to the target standing tree. Use the algorithm of the present invention to calculate the DBH of the target standing tree and complete the non-contact measurement of the DBH of the target standing tree. The structure of the present invention is simple and easy to integrate, improving the measurement universality of the device and enabling effective measurement under complex terrain conditions.

The application provides a non-contact standing tree breast diameter measurement method, comprising: obtaining a two-dimensional image and a ranging value of a measuring device to a target standing tree surface as input data; identifying a trunk region in the two-dimensional image obtained in a natural scene, comprising: first, establishing a region of interest image, determining the position of the target standing tree in the image and creating a cropped region of interest image therefrom; then, processing the region of interest image based on a trunk region identification model trained from a self-constructed dataset to identify the trunk region; detecting the trunk inclination and calculating the breast diameter length in the two-dimensional image, establishing a DBH calculation model, and calculating the DBH of the target standing tree. The application has a simple structure, can accurately and effectively extract the target trunk region in the image in various complex environments, takes into account the trunk shape feature and growth feature, and effectively improves the measurement accuracy of the DBH.

1. Name of the product in this design: Automatic monitoring instrument for the diameter growth of standing trees. 2. Purpose of this design: To monitor tree diameter and continuously monitor tree growth diameter. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This application relates to the fields of micro-destructive testing of living trees and wood performance testing, and particularly to a micro-destructive sampling method for living trees and a rapid prediction method for wood performance. The micro-destructive sampling method for living trees includes: selecting a defect-free, healthy trunk area at a first preset height above the ground of the living tree as the sampling area; peeling off the bark of the sampling area using a woodworking chisel and marking the sampling area to obtain a marked area; cutting along the boundary of the marked area to a preset depth to form a rectangular window-shaped cutting slit of preset length × preset width, cooling the area by spraying distilled water during the cutting process; prying open a notch on the side of the rectangular window to obtain a cuboid wood block containing several complete growth rings from the bark inwards; placing the removed cuboid wood block into a sealed bag, adding distilled water to the sealed bag to keep the surface of the wood block moist, sealing it, and storing it in an environment within a preset temperature range.

This prevents the collapse of slopes with standing trees and also prevents damage downstream caused by the trees becoming driftwood. [Solution] A structure for stabilizing a slope having standing trees 5, comprising a net 6 laid on the slope and forming a tree exclusion area 63 excluding the standing trees 5, a reinforcing member 1 cast into the slope at an intersection 62 of the net 6 and transmitting the force received from the slope to the net 6 via the intersection, and a rope 10 looped around the base of the standing trees 5 and connected to the intersection 62 of the net 6 located higher up the slope than the standing trees 5, and applying the tree's falling load to the reinforcing member 1 located higher up the slope than the standing trees 5 when the tree falls.

The present application relates to a kind of wood mechanical property prediction method, system, equipment and medium based on live standing tree stress wave data, wherein, method includes: obtaining live standing tree longitudinal wave velocity data, green density, live standing tree moisture content, forest tree germplasm and tree age;Live standing tree longitudinal wave velocity data is screened based on wave velocity gradient mutation response trigger knot defect, and moisture content is combined to implement correction, output standard longitudinal wave velocity data, and boundary effect compensation is executed, generates log equivalent wave velocity, gradient correction is carried out in combination with the radial spatial distribution relationship of detection node and pith, and output corrected wave velocity parameter;Through the coupling of multiple sources, dynamic elastic modulus prediction model is constructed, and dynamic elastic modulus is predicted and output, and is converted into static reference modulus, conditionally introduces tree age attenuation factor to exert correction, and obtains final static elastic modulus.The present application significantly improves the precision and applicability of live standing tree mechanical property prediction by coupling analysis and dynamic correction mechanism of multiple source stress wave data.

This application provides a method for monitoring and identifying pine wood nematode diseased trees at their susceptible stages based on visible light remote sensing from unmanned aerial vehicles (UAVs). The method specifically relates to the technical field of reading and identifying image data for use in identifying the color of pine wood nematode disease. The method comprises the following steps: performing geometric registration, cropping, and other preprocessing on the acquired UAV visible light remote sensing data; calculating vegetation indices based on three visible light bands: the visible-band difference vegetation index (VDVI) and the excess green index (ExG); converting the visible light image and the corresponding vegetation index image into grayscale images and performing multi-threshold segmentation on the images; extracting discolored standing trees based on an optimal threshold value, and post-processing the extracted results to identify individual discolored standing trees. This method further improves the efficiency and accuracy of identifying pine wood nematode diseased trees based on visible light UAV remote sensing images.

The utility model relates to the technical field of base protection, and discloses a standing tree trunk base protection device for tending a mountain forest, which comprises a middle protection ring, the top of the middle protection ring is fixedly connected with a plurality of lower connecting plates, and the bottom of the middle protection ring is fixedly connected with a plurality of upper connecting plates. The bottom of the lower connecting plate is fixedly connected with a lower protection ring, the top of the upper connecting plate is fixedly connected with an upper protection ring, insect repelling mechanisms are arranged in the middle protection ring and outside the lower protection ring, an animal repelling mechanism is arranged outside the lower protection ring, and a fixing mechanism is arranged in the upper protection ring. The parasite expelling assembly comprises the kit. According to the utility model, the insect-expelling spraying structure and the threatening device structure are matched with each other, so that the insect attack on the base part of the tree can be prevented and reduced, rodents and large herbivores are forced to be far away from the trunk, and the healthy growth of the tree is promoted.

The present invention relates to a method and apparatus for remotely and / or autonomously harvesting a standing tree from air by means of a remotely and / or autonomously controlled harvesting tool attached underneath a remotely and / or autonomously controlled unmanned aerial vehicle, UAV The method comprising the steps of detecting a tree to be harvested by at least one sensor having a field of view in at least a downward direction provided on said UAV and switching the detection of the tree to be harvested from said at least one sensor attached to said UAV to a sensor attached to said harvesting tool having a field of view in at least a downward direction when said harvesting tool and / or said UAV is closer than a predetermined distance to said tree to be harvested.

This invention provides a standing tree information management system and a standing tree information management method that enable the distribution of individual standing trees in a forest to the market. [Solution] Server 1 stores the location information and unique information of each tree in the forest as tree information. User terminal 2 can access the tree information stored on Server 1. The tree information is stored on Server 1 as digital data that has been processed to prevent tampering. As a result, the location information and unique information of each tree in the forest are stored on Server 1 as tree information, and this tree information can be accessed and viewed by the user from User Terminal 2. Therefore, tree information of each tree in the forest can be provided to the user, and each tree can be distributed to the market.

The invention discloses a stumpage mechanical property prediction model and a construction method and a prediction method thereof, and belongs to material property detection. According to the method, the absolute content of cellulose in unit wood volume is adopted as an independent variable, a prediction model of the bending-resistant elastic modulus, the bending strength and the rift-grain compressive strength of the standing timber is constructed, and the correlation coefficient is obviously higher than that of a traditional model using wood density as a parameter. The three related mechanical property indexes of the standing tree are predicted by collecting the small sample and measuring two related parameters, so that the destructiveness that the tree needs to be cut down during traditional detection is avoided, the normal growth state of the tree is not influenced, only the small sample for detection is taken out due to small damage to the tree, the cost is reduced, and the efficiency is improved; the method is especially suitable for detecting and analyzing the mechanical properties of wood materials which cannot be excessively sampled, such as wood mechanical property comparison and evaluation of standing trees, and wood mechanical property evaluation of wood cultural relics and ancient buildings.