86 results about "Street tree" patented technology

The invention discloses a street tree safety risk feature detection method, system and device, and a storage medium. The method comprises the steps of obtaining image information of a lesion area of a trunk on a street tree; preprocessing the image information to obtain a training sample; based on the training sample, training an improved YOLOv8 network model to obtain a trained pest and disease identification model; wherein the improved YOLOv8 network model comprises a selective multi-scale convolution kernel attention mechanism module and an average pooling module; and detecting a trunk image to be recognized by adopting the pest and disease recognition model to obtain a detection result. A pest and disease identification model obtained by training the training sample and the improved YOLOv8 network model can be used for identifying large-batch and various types of tree trunk pest and disease images, and a high-precision identification result is quickly provided, so that the identification time is saved, the troubleshooting cost is reduced, and a more comprehensive reference basis is provided for urban greening management and decision making.

The invention discloses a street tree crown pest and disease detection method, system and device and a storage medium. The method comprises the following steps: acquiring image information of a street; wherein the image information is acquired by the unmanned aerial vehicle and carries lesion information of crowns on the border trees; preprocessing the image information to obtain a training sample; based on the training sample, training the initial YOLOv8 network model to obtain a trained pest and disease identification model; detecting the street image to be recognized by adopting the disease and pest recognition model to obtain a detection result; wherein the detection result comprises positioning information of the street image to be identified. According to the pest and disease damage identification model, large-batch street images can be detected, high-precision automatic identification and spatial positioning of infected street trees are realized, the identification time is saved, the troubleshooting cost is reduced, and the dynamic monitoring requirement of large-area urban street tree pest and disease damage is met.

The invention discloses a landscaping street tree growth prediction model construction method based on artificial intelligence, and the method comprises the steps: obtaining tree time sequence image data, extracting key point descriptors, finding out matching items, calculating the difference value, analyzing the difference value change mode of the matching items in each growth stage, and carrying out the construction of a landscaping street tree growth prediction model. Constructing a growth stage conversion model to predict growth stage time to obtain residual growth stage prediction time; determining linear and nonlinear correlation functions according to tree historical growth data; calculating environment fitness in the residual growth stage prediction time; judging the growth potential according to tree parameters; and constructing a growth prediction model by using a neural network. The neural network model constructed by the method comprehensively considers various factors, can effectively improve the accuracy and reliability of street tree growth prediction, assists landscaping scientific planning and management, and has good interpretability.

The invention discloses a method and a system for rapidly and continuously detecting missing border trees based on dynamic edge calculation. The method comprises the following steps: acquiring an image, a GPS coordinate and a timestamp, and constructing a spatio-temporal trajectory; preprocessing the image, identifying and classifying vegetation, municipal facilities and moving shelter targets, and outputting feature information and confidence score to obtain an image identification result; based on an image recognition result, screening a street tree close to the lane line and predicting a corresponding position, constructing a motion track through continuous multi-frame data association, and performing calibration in a coordinate system to generate a predicted attention area to form a street tree position prediction result; and judging and classifying the plant missing condition in the green belt according to the street tree position prediction result, and generating related event information. By implementing the method provided by the invention, the limitation of the prior art can be overcome, more efficient and accurate technical support can be provided for daily maintenance of urban greening, and the quality and efficiency of urban management can be improved.

The invention discloses a tree safety risk assessment method, system and device based on a key index priority mechanism, and a storage medium. The method comprises the following steps: constructing an inference model according to a fault tree model of a street tree and a fuzzy Bayesian network; based on the inference model, through reverse inference, sensitivity analysis and most approximate cause chain analysis, screening out a key index set and a conventional index set from a preset risk candidate index set; and based on a hierarchical risk assessment principle, respectively assessing the key index set and the conventional index set to obtain an assessment result. According to the inference model, key factors having significant contributions to the overall risk of the border tree are identified from a large number of risk indexes; a conjoint analysis method of reverse reasoning, sensitivity analysis and most approximate cause chain analysis is adopted, so that false alarm and missing alarm are effectively reduced; according to the hierarchical risk assessment principle, key factors are assessed preferentially, it is ensured that the street tree with structural fatal defects can be recognized and controlled in time, and the reliability and timeliness of assessment are improved.

The invention relates to the technical field of computer vision and laser scanning, in particular to a fine-grained city tree species classification method and device based on multi-modal data fusion, and the method comprises the steps: collecting the original point cloud of a street tree and a street view image of a target street; performing tree species information identification on the original point cloud of the border tree to construct a point cloud tree species classification data set; performing image cutting on the streetscape image according to the point cloud tree species classification data set to construct an image tree species data set; training a pre-constructed deep learning neural network by using the point cloud tree species classification data set and the image tree species data set until a preset requirement is met, and obtaining a final tree species classification model; and performing tree species classification on the to-be-classified urban street trees by using the final tree species classification model to obtain tree information of the to-be-classified urban street trees. Therefore, the problem that an existing image classification method based on deep learning is low in accuracy of automatically identifying the street tree species is solved.

The invention relates to a street tree planting position planning method and system, a storage medium and an intelligent terminal, and relates to the field of municipal garden engineering. Dividing the lane environment diagram to obtain segmented environment diagrams; numbering to obtain a segmented environment diagram number, and defining an initial segmented environment diagram number; randomly selecting a pre-initial planting coordinate; determining pre-planting coordinates; analyzing the environment influence result of the pre-initial planting coordinate and the pre-planting coordinate based on the walkway environment map; when the environment influence result is an abnormal result, re-selecting the pre-initial planting coordinate and the pre-planting coordinate; the target planting coordinates are defined and output when the environmental influence results are all normal results, the method has the advantages that the whole street is divided into uniform equal parts, then whether the coordinate points meet the requirements or not is checked, accordingly, the positions of the tree pits in the street are determined, and the reasonability and automation effect of street tree position design is improved.

The invention discloses a street tree intelligent maintenance and pest control integrated device, and belongs to the technical field of street tree maintenance. The water and fertilizer maintenance mechanism comprises a water and fertilizer mixing tank arranged on the upper portion of the vehicle body, a water and fertilizer conveying pipe is arranged on the side face of the water and fertilizer mixing tank, and a stirring assembly is arranged in the water and fertilizer mixing tank; the pest control mechanism comprises a pesticide box, a pesticide conveying pipe is rotationally arranged on the upper portion of the pesticide box, a second sprayer is arranged at the upper end of the pesticide conveying pipe, and third sprayers are hinged to the two ends of the second sprayer; by arranging the water and fertilizer mixing tank, the rotating shaft, the forward stirring paddle and the reverse stirring paddle, water and fertilizer liquid generates bidirectional disturbance in the tank body, and by combining the effects of the corrugated grooves and the electric heating bars in the inner wall of the tank body, liquid flowing dead angles are effectively avoided, and sufficient dissolution and mixing of fertilizer are guaranteed.

The invention discloses a method, a device, equipment and a medium for identifying street tree species in a street view image, and relates to the technical field of image identification, and the method comprises the steps: obtaining a street view data set of a research area; obtaining a tree species single plant data set; training a yolo supervisory model by using the tree species single plant data set; adding the global domain adaptive module and the enhanced pseudo tag adapter into a semi-supervised target detection framework to obtain a semi-supervised domain adaptive framework; inputting the street view data set, the tree species single plant data set and the trained yolk supervision model into a semi-supervised domain adaptation framework for training to obtain a tree species identification model; and identifying the street tree species by using the tree species identification model. According to the method, the streetscape data set and the tree species single-plant data set of the labeled tree species are used for training, so that the labeling cost of the data set can be reduced; the features are aligned by using the global domain self-adaptive module, and the pseudo tag is optimized by using the enhanced pseudo tag adapter, so that the training effect of the model can be improved, and the accuracy of identifying the tree species in the streetscape image is further improved.

The present invention relates to the technical field of urban greening construction, and specifically to a roadside tree pit filling protection construction method, the method comprising: after the tree pit is excavated and geotextile is laid, designing and manufacturing a protection device body according to the size of the top pit mouth of the tree pit; fixing the manufactured protection device body on the edge of the top pit mouth of the tree pit to press the geotextile, and fixing the enclosure on the outer edge of the protection device body; hingedly connecting a buffer baffle plate to the inner edge of the protection device body; after the buffer baffle plate closes the top pit mouth of the tree pit, backfilling green soil with a loader, and during the backfilling process of the green soil, the buffer baffle plate is pressed down by the weight of the green soil itself, so that the buffer baffle plate is closely attached to the geotextile at the side wall of the tree pit; after the green soil is backfilled, it is leveled, and then a tree pit is excavated and roadside trees are planted in the tree pit. It can avoid secondary pollution of surrounding structures by backfilling green soil, and can also prevent the geotextile from being damaged and falling off, which is more conducive to the planting and survival of seedlings in the later stage.

The utility model belongs to the technical field of street tree maintenance, and particularly relates to a street tree maintenance device which comprises a liquid storage tank, a connecting pipe, a handle, a connecting piece and a spraying unit, the inside of the handle is hollow, a micro pump machine is arranged in the handle, one end of the connecting pipe is connected with the liquid storage tank, and the other end of the connecting pipe is connected with the spraying unit. The other end of the connecting pipe penetrates through the handle to be connected with a liquid inlet of the micro pump machine, the spraying unit comprises a liquid conveying main pipe, a plurality of communicating pieces, a plurality of spraying heads, a flexible piece, a protective sleeve, a first connecting part and a second connecting part, the protective sleeve is arranged outside the flexible piece in a sleeving mode, and the liquid conveying main pipe is arranged between the flexible piece and the protective sleeve; one end of the communicating piece is connected with the liquid conveying header pipe, the other end of the communicating piece penetrates through the protective sleeve, the spray head is connected with the other end of the communicating piece, the first connecting part is detachably connected with the second connecting part, a liquid outlet of the micro pump machine is connected with the liquid conveying header pipe through a pipeline, and the connecting piece is connected with the handle and the flexible piece. The device can adapt to thicker border trees, is small in occupied space, and can prevent lime water from drifting away.

The invention provides a border tree planting method capable of expanding a root system range. The method comprises the following steps: digging a planting belt of border trees on the side of a road; setting out and fixing points to determine a planting area and a permeable supporting area of each border tree; laying a supporting module at the bottom of the planting belt, wherein the supporting module is located in the permeable supporting area; base fertilizer is applied to the bottom of the planting area and covered with thin soil; placing trees in the planting area; tensioning assemblies are pre-embedded in the four corners of the tree soil ball; root blocking plates are laid on the two sides, parallel to the road, of the planting belt and the top sides of the supporting modules; preparing special planting soil, and backfilling the planting area and the permeable supporting area with the special planting soil; and a permeable pavement is laid above the supporting module, a plant pit cover plate is installed above the soil ball, and the plant pit cover plate is connected with a tensioning assembly. The problems that the root growth space of border trees is limited, the root distribution range is insufficient, roads and pipelines are damaged by roots, and water permeability and air permeability of root soil become poor after long-term compression can be solved.

The invention discloses a road solar power generation and energy storage sun-shading and snow-blocking shed, and relates to the technical field of road sun-shading and snow-blocking sheets.The road sun-shading and snow-blocking shed comprises two pairs of supporting columns, a cross beam is fixedly installed between the pair of supporting columns on the same side, a motor is fixedly installed on the front wall face of one of the pair of supporting columns, and a shaft rod is rotationally installed between the pair of supporting columns; the shaft rod is fixedly connected with the driving end of the motor, a connecting rod is fixedly installed on the shaft rod, rotating plates are fixedly installed at the upper end of the connecting rod, a solar panel is hinged between the rotating plates, and a light sensor is fixedly installed at the center of the upper wall face of the solar panel; the rotating plate and the solar panel can block rain and snow, a sunshade function is achieved in summer, the planting and maintenance cost of border trees is reduced, a snow blocking function is achieved in winter, the manual or mechanical snow cleaning cost in winter is reduced, and the snow cleaning efficiency is improved. And the driving trouble brought to people due to road icing in winter is avoided.

The present invention discloses a method for calculating the biomass of individual tree leaves using ground-based laser radar point clouds, comprising collecting point cloud data of individual trees through a ground-based laser radar, randomly harvesting leaves from different street trees and at different canopy heights, matching the point cloud data of each site with corresponding panoramic photos, performing RGB rendering on the point cloud to color the point cloud, and obtaining a preliminary leaf point cloud through site splicing, denoising, normalization, cropping, thinning, individual tree point cloud segmentation, and leaf point cloud extraction, and manually removing the remaining branch point clouds to obtain an accurate leaf point cloud, and processing the harvested leaves to obtain the volume and mass of each leaf. The present invention can extract leaf point clouds and calculate leaf volume using a more efficient and accurate processing method through the point cloud data scanned by the ground-based laser radar and the actual harvested leaves, thereby improving the accuracy and efficiency of leaf biomass estimation.

The utility model discloses a plug-in type maintenance device, including: plug-in subassembly and liquid supply subassembly, plug-in subassembly includes drill stem drive piece and drill stem piece, drill stem piece is detachably connected to drill stem drive piece's drive end, drill stem drive piece drives drill stem piece to rotate and perforate the ground, the middle part of drill stem piece is provided with hollow cavity. According to the plug-in maintenance device, by arranging the drill rod piece with the hollow cavity and the liquid outlet hole, when maintenance liquid needs to be injected into border trees, the drill rod piece can be driven to rotate through the drill rod driving piece, so that the drill rod piece can extend into a specified length, and then the maintenance liquid can be provided into the hollow cavity of the drill rod piece through the liquid supply assembly; the maintenance liquid can flow out through the liquid outlet holes, nutrients are directly provided for the deeper parts of the border trees, the root systems of the border trees can grow downwards, and the problems that according to a traditional watering and fertilizing mode, the root systems of the border trees are prone to floating upwards, the road surface is damaged, and the border trees are prone to being blown down in strong wind weather, and potential safety hazards exist are solved.

The invention discloses a rejuvenation method for poor growth vigor of border trees in a hardened earth surface environment. The rejuvenation method comprises the steps that original soil with the thickness of 15-20 cm in a border tree pool is removed; 4-8 holes are vertically and evenly drilled in the tree pool with the tree trunk as the center, and vertical blind pipes are arranged in the holes; 2-6 slow-release rod fertilizers are uniformly implanted into the tree pool; a permeable layer with the thickness of 15-20 cm is laid on the surface of soil in the tree pool; communicating blind ditches a are formed between the adjacent border trees, and blind pipes a are laid in the communicating blind ditches; communicating blind ditches b are arranged along the communicating blind ditches a every 30-50 m, one ends of the communicating blind ditches b are connected with the communicating blind ditches a, the other ends of the communicating blind ditches b lead to a municipal drainage well, and blind pipes b are laid in the communicating blind ditches b; and rejuvenation liquid is added into the vertical blind pipes in the tree pool. The invention provides a three-in-one rejuvenation system of three-dimensional ventilation, targeted oxygen supply and longitudinal communication, and the growth vigor of the border trees is greatly improved.

1. The name of the design product: tree hole sieve (ripple). 2. The use of the design product: the design product is used for protecting the tree hole of street trees. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of urban landscaping, and discloses a street tree crown coverage benefit evaluation and optimization method, which comprises the following steps: S1, collecting multi-source data of street trees in a target area; s2, performing fusion processing on the multi-source data, extracting feature parameters for evaluation, inputting the feature parameters into a pre-trained crown benefit evaluation model, and outputting a comprehensive benefit score of crown coverage by the model; wherein the crown benefit evaluation model is a machine learning model obtained by training sample data with expert score labels; and S3, based on the comprehensive benefit score and a benefit restriction factor identified through model interpretive analysis, matching and generating a targeted crown optimization scheme from a pre-constructed optimization strategy knowledge base. According to the method, the street tree crown coverage benefit evaluation and optimization of the complex urban environment can be systematically completed, the evaluation accuracy is relatively high, and the method has dynamics and operability.

The application discloses a street tree missing plant rapid continuous detection method and system based on dynamic edge calculation. The method comprises the following steps: acquiring images, GPS coordinates and time stamps, and constructing a space-time trajectory; pre-processing the images, identifying and classifying vegetation, municipal facilities and moving shelter targets, and outputting feature information and confidence score to obtain image recognition results; based on the image recognition results, filtering street trees close to lane lines and predicting corresponding positions, constructing motion trajectories through continuous multi-frame data association, calibrating in a coordinate system to generate a predicted attention area, and forming a street tree position prediction result; and comprehensively judging and classifying the missing plant situation in the green belt based on the street tree position prediction result, and generating relevant event information. Through the implementation of the method, the limitations of the prior art can be overcome, more efficient and accurate technical support can be provided for the daily maintenance of urban greening, and the quality and efficiency of urban management can be improved.

The application discloses a sponge structure and method for expanding sidewalk tree root growth space, and the sponge structure comprises a permeation layer, a soil improvement layer, a water storage adjusting mechanism and an evaporation reduction structure, the soil improvement layer is used for filling original soil excavated on a sidewalk, the soil improvement layer is made by mixing gravel, waste wood and planting soil, and the sponge structure construction method comprises the steps of prefabricating a cement groove, pre-burying a water pipe, adjusting soil, preventing evaporation and laying the permeation layer. The soil is improved, the soil nutrition is improved, the soil is spongy, the water retention and storage performance of the soil is improved, the underground root growth space structure of the sidewalk tree is adjusted, the sidewalk tree and urban green land are connected, the sidewalk tree is really integrated into the green land, the urban heat island and waterlogging problems are solved, urban rainwater is utilized, the sidewalk tree grows healthily, and the ecological benefits of the tree are increased, and finally, the sponge city and the organicization of hard urban space are achieved.

The present invention relates to an ecological planting pool for preventing damage to the surrounding structural layer during plant growth. The ecological planting pool is arranged in a sidewalk paving area for planting street trees. The ecological planting pool comprises a sidewalk paving area (9), a curbstone (8) above the ground, and a planting hole. The planting hole contains street trees (1) with soil balls (2) and organic planting soil (3). The lower layer of the organic planting soil (3) is paved with organic fertilizer (4) and is placed on a non-woven geotextile (5). A degradable material layer (6) is placed under the non-woven geotextile (5), and the lowest layer is paved with organic planting soil (3). Compared with the prior art, the present invention reduces the damage to the sidewalk paving material and the damage to the surrounding pedestrian road surface during the growth of street trees, and can prevent the influence of the street trees on the surrounding road structure layer during the growth of street trees.

The utility model relates to the field of road tree maintenance, in particular to a street tree water supplementing device. Comprising a water supplementing bag, a buckle son piece and a buckle mother piece, a water storage cavity used for storing water is formed in the water supplementing bag, a water adding pipe is arranged on the upper portion of the water supplementing bag, and a plurality of water dripping holes formed in the left-right direction at intervals are formed in the lower portion of the water supplementing bag; a row of vertically-arranged mounting holes are formed in the right side of the water supplementing bag, and the multiple buckle sub-pieces are fixedly installed on the left side of the water supplementing bag in a vertically-arranged mode. The water supplementing bag can be bent into a ring shape or an arc shape so as to wrap the trunk of the tree, and the buckle son piece can be inserted into the installation hole and connected with the buckle mother piece in a clamped mode. According to the street tree water supplementing device, watering is more uniform, and the applicability is wider.

The invention discloses a method, a system, a medium and equipment for evaluating cooling and pollution control of street trees of urban street canyons, and the method comprises the steps: constructing a plurality of typical street canyon tree planting models according to meteorological data, street canyon morphological parameters, street tree morphological parameters and road traffic flow data through ENVI-met microclimate simulation software, and carrying out the numerical simulation one by one; performing data processing on the numerical simulation results of the typical street canyon tree planting models, and calculating indexes representing cooling and pollution control hour by hour according to the data processing results; performing normalization according to hourly calculation indexes to obtain a corresponding average value of each index in an evaluation period, and constructing a cooling and pollution control comprehensive evaluation index corresponding to different tree form configurations through an equal weight method. Based on the data processing flow, the comprehensive influence of different forms of street tree planting schemes on street canyon pedestrian area cooling and pollution control is quantitatively evaluated, and an accurate basis is provided for street tree type selection and pruning oriented to street canyon thermal environment and air quality improvement.

The application relates to the technical field of street trees, and discloses a multi-module combined telescopic tree hole cover plate. The multi-module combined telescopic tree hole cover plate comprises a surrounding frame seat, the inside of the surrounding frame seat is provided with a fixing block, the rear surface of the fixing block is fixedly connected with a first connecting short rod, the rear surface of the first connecting short rod is fixedly connected with a connecting long block, the side surface of the connecting long block is fixedly connected with a connecting frame, the side surface of the first connecting short rod is surrounded with a back-shaped soft buckle frame, the back-shaped soft buckle frame and the first connecting short rod are staggered on the upper surface of the surrounding frame seat, and the inside of the surrounding frame seat is provided with a I-shaped convex edge soft frame. The connecting frame, the first connecting short rod and the back-shaped soft buckle frame are installed, the port soil of the tree hole is always covered, the surface cover plate of the tree hole is prevented from being damaged, and the appearance and service life of the port of the tree hole of the street tree are improved.

The application relates to a kind of city street tree three-dimensional form parameter calculation method and device based on street view image, wherein, method includes: robust visual features are extracted from street view image using depth estimation base model and visual feature extraction network layer;Robust depth features are obtained from street view image with the aid of depth estimation base model and depth feature extraction network layer, without fixed priori and artificial explanation, the accuracy of three-dimensional form calculation is improved;A three-dimensional form regression model is constructed, the interaction of visual and depth information is realized through attention layer, and tree mask regression and distance regression auxiliary tasks are introduced, focusing on the visual shape and spatial position of tree, to obtain the estimation result of the form parameter of tree. Thus, by constructing an end-to-end deep learning network model, the three-dimensional form parameters of street trees can be directly predicted when given street view images, greatly improving the prediction accuracy of the model and meeting the needs of rapid monitoring and management.

The invention relates to the technical field of street tree carbon reserve estimation, and provides a street tree carbon sink capability fine estimation method and device, and the method comprises the steps: obtaining first-stage street tree data and second-stage street tree data; estimating the border tree biomass of the target area according to human management and protection factors, the first-stage border tree data and the second-stage border tree data on the basis of a target diameter at breast height-tree height model to obtain carbon reserves of the first-stage border trees and the second-stage border trees; calculating street tree carbon sink parameters based on the carbon reserves of the first-stage street tree and the second-stage street tree and the road characteristics of the target area so as to evaluate the street tree carbon sink capability of the target area; wherein the road features comprise at least one of the greening length of each street in the target area, the plant spacing between adjacent trees, the total greening length of all streets and the total road area of all streets; the border tree carbon sink parameters comprise at least one of carbon sequestration amount, carbon sink, carbon sequestration density and carbon sink density. According to the method, the prediction accuracy of the carbon sink capability of the street tree is improved.

This application discloses a method, apparatus, device, and medium for identifying street tree species in street view images, relating to the field of image recognition technology. The method includes: acquiring a street view dataset of the study area; acquiring a dataset of individual tree species; training a YOLO supervised model using the individual tree species dataset; adding a global domain adaptive module and an enhanced pseudo-label adapter to a semi-supervised object detection framework to obtain a semi-supervised domain adaptation framework; inputting the street view dataset, the individual tree species dataset, and the trained YOLO supervised model into the semi-supervised domain adaptation framework for training to obtain a tree species identification model; and using the tree species identification model to identify street tree species. This application utilizes a street view dataset and a dataset of labeled individual tree species for training, which reduces the cost of dataset labeling; it uses a global domain adaptive module to align features and an enhanced pseudo-label adapter to optimize pseudo-labels, which improves the training effect of the model and thus improves the accuracy of tree species identification in street view images.

The application discloses a street tree lodging detection method and device, and belongs to the technical field of image recognition. The method comprises the following steps: acquiring a target detection image sequence corresponding to a target tree, wherein the target detection image sequence comprises a plurality of target detection images of different sampling periods, and the target detection image comprises the target tree; determining a trunk inclination angle of the target tree in the corresponding sampling period based on the target detection image; and determining a lodging detection result of the target tree based on the trunk inclination angle corresponding to each sampling period. The method does not need to acquire a large number of features of the target tree to train a detection model, can obtain change information of the trunk inclination angle through a small number of target detection images, and can improve the detection efficiency by performing lodging detection according to the change information of the trunk inclination angle.

The breathable paving structure comprises a planting pit foundation, longitudinal breathable pipes are arranged in the planting pit foundation, openings are formed in the tops of the longitudinal breathable pipes and the tops of transverse breathable pipes, intercepting nets are fixedly connected to the inner walls of the openings, and the tops of the intercepting nets and the tops of water permeable bricks are located on the same horizontal line. One end of the longitudinal ventilation pipe is connected with a transverse ventilation pipe, ventilation holes are formed in the inner sides of the longitudinal ventilation pipe and the transverse ventilation pipe, supporting frames are fixedly connected to the inner walls of the longitudinal ventilation pipe and the transverse ventilation pipe, the section view of the longitudinal ventilation pipe and the transverse ventilation pipe is of a U-shaped structure, and the inner sides of the longitudinal ventilation pipe and the transverse ventilation pipe are filled with an original soil layer; an isolation layer, a breathable layer, a water storage layer, a filter layer and water permeable bricks are arranged on the top of the original soil layer. The device can ensure the air permeability of the border trees in the planting process, so that the growth efficiency of the border trees is improved, and the border trees grow more strongly.

The invention discloses a street tree realistic style design method based on artificial intelligence. The method comprises the following steps: acquiring basic data and environmental parameters of a street tree; inputting design parameters according to realistic style requirements, wherein the design parameters comprise tree parameters, road parameters and seasonal landscape parameters; analyzing and simulating the design parameters based on a GAN (Generative Adversarial Network) architecture to generate a border tree realistic style design drawing; according to the method, the urban attractiveness can be remarkably improved, the ecological function is enhanced, air pollution is reduced, the design efficiency is improved, the maintenance cost is reduced, the living quality of residents is improved, the urban culture characteristics are enhanced, and the method has important significance on urban greening and ecological environment improvement.