42 results about "Street tree" patented technology

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 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 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 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 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.

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.

According to the intelligent assembly type municipal tree-embracing lamp and the using method, solar lamp boxes used for generating energy and storing energy through sunlight are arranged, a mounting assembly made of an elastic telescopic belt is arranged, and the multiple solar lamp boxes are connected to form a ring to embrace a tree trunk; then multiple functional accessories and basic lamp assemblies are prefabricated for selection, and the lamp assemblies or the functional accessories are electrically connected with the power connection parts of the solar lamp box in a matched mode for use according to the installation and use requirements; according to the tree-embracing lamp, assemblies and functional parts are prefabricated according to requirements for combined use, when the tree-embracing lamp is researched, developed and designed, the tree-embracing lamp can be flexibly combined according to use requirements, and the tree-embracing lamp is not limited to illumination of street trees and road surfaces and is used for heat preservation, insect expelling and other assembly applications based on functional accessories; and the requirements of illumination expansion, maintenance, attractiveness and the like of urban landscaping trees are met.

A force test device for fixing secondary branches in a wind tunnel and adjusting the angle, relates to the wind resistance research of street trees. It comprises a force measuring component, a branch fixing component, a sleeve fixing component and a base component. The force measuring component comprises six force gauges and protective shells for protecting the force gauges. The branch fixing component comprises a sleeve, an arc-shaped ring and corresponding sleeve adjusting screws. The sleeve fixing component comprises a large cylinder with a scale disc and a pointer, four friction blocks on the side and a base at the lower part with friction blocks. The base component comprises a base with considerable mass and volume, and a rotating disc on the base. The device has simple structure and is convenient to use, can be repeatedly used for many times, can meet the requirement of fixing secondary branches of different sizes in the wind tunnel experiment, and can adjust the wind attack angle and the wind inclination angle to obtain the wind tunnel test data of secondary branches under different growth directions and different incoming flow directions.

The utility model discloses a street tree maintenance device which comprises a guide assembly, a sliding assembly and a drilling assembly, and the guide assembly comprises an annular guide piece. According to the street tree maintenance device, the guiding piece with the annular guiding groove is arranged, the sliding piece capable of moving along the guiding groove is arranged in the guiding groove, and after the guiding piece is arranged on the outer side of the root of the street tree in a sleeving mode, the drilling assembly can be driven by the sliding piece to rotate around the street tree, and the ground at the bottom of the street tree is drilled; after drilling of one hole site is completed, the drilling assembly can rotate around the border tree along a fixed path, so that when the drilling assembly drills the border tree, the distances from the hole site to the border tree are the same, the angle is easier to control, and the problems that the distance from the hole site to the border tree is not easy to control, maintenance liquid is not evenly poured, and the maintenance efficiency is improved are solved. Root systems of border trees are prone to oxygen deficit, root system rot is caused, the risk of fungal and bacterial diseases is increased, and the service life of the border trees is affected.

The present invention relates to the technical field of carbon storage estimation for urban street trees, and specifically discloses a method for estimating the carbon storage of urban street trees at the individual tree level. The method comprises the following steps: A01: establishing a multi-task street tree individual tree recognition network based on street view images; A02: constructing a tree structure solution method for panoramic street view images; and A03: establishing a street tree spatial position solution network. The method can directly obtain tree height, diameter at breast height (DBH), and spatial position information based on individual tree recognition results from street view images, and finally further analyze the carbon storage distribution of urban street trees.

The invention provides application of PtWOX11 in regulating and controlling leaf stalk characters and / or branching characters of poplar, and belongs to the technical field of genetic engineering breeding. The invention provides application of PtWOX11 in regulation and control of leaf stalk characters and / or branching characters of poplar trees. The overexpression of PtWOX11 can shorten the petiole of the poplar, reduce the angle between the petiole and the stem, reduce the angle between the lateral branch and the main stem, and integrally form a compact tree (narrow crown). The shrunk tree type can increase the number of trees planted in the forest land in unit area, and the wood yield in unit area is directly increased. On the other hand, the function inhibition type PtWOX11 SRDX for knocking out or knocking down the PtWOX11 or overexpressing the PtWOX11 can prolong the petiole of the poplar, increase the angle between the petiole and the stem and increase the angles of the lateral branches and the main stem, and a divergent tree type (wide crown) is integrally formed. The divergent tree has scattered branches and leaves, is suitable for serving as a street tree and is used for shading and shielding rain.

The present application relates to the technical field of street tree carbon storage estimation, and provides a street tree carbon sink capacity fine estimation method and device, the method comprising: obtaining first period street tree data and second period street tree data; based on a target diameter at breast height-height model, according to human management factors, the first period street tree data and the second period street tree data, the street tree biomass of the target area is estimated, the first period street tree and the second period street tree carbon storage are obtained; based on the first period street tree and the second period street tree carbon storage and the road characteristics of the target area, the street tree carbon sink parameters are calculated to evaluate the street tree carbon sink capacity of the target area; wherein the road characteristics include at least one of the greening length of each street in the target area, the plant distance between adjacent trees, the total greening length of all streets and the total road area of all streets; the street tree carbon sink parameters include at least one of the carbon fixation amount, the carbon sink, the carbon fixation density and the carbon sink density. The method improves the prediction accuracy of street tree carbon sink capacity.

This invention proposes a method for selecting street tree species in urban street valleys to improve air quality. The method comprises: obtaining daily variation data on meteorological parameters on typical days in a target area, typical street valley spatial morphological types, commonly used street tree species and their morphological characteristics, and hourly emission rates of air pollutants from motor vehicles; constructing multiple typical street valley models, conducting numerical simulations for each, and then conducting statistical analysis and evaluation, using the relative rate of change in resident exposure risk scores within the street valley as an indicator. Based on the evaluation results, tree species corresponding to tree morphologies with relatively low relative rates of change in resident exposure risk scores are selected as the optimal street tree species for the corresponding street valley type, and a street tree shaping and pruning strategy for that street valley is formulated based on these tree morphologies. This method quantitatively evaluates the impact of different street tree planting schemes on resident exposure risk in the street valley, providing an accurate basis for street tree species selection and shaping and pruning.

The application relates to a sidewalk tree screening method based on a forest ecological index, a regional environment model is established by using a DEM technology, tree body data of different types of sidewalk trees are measured and recorded, a plurality of tree body data sub-models are established, and simulation calculation is sequentially performed on the tree body data sub-models, a simulation result is analyzed by using a stepwise multiple linear regression, a regional environment model and a sidewalk tree type model are fused, a simulation model is established, the regional environment model is trained by using the tree body data sub-models, simulation model characteristics are obtained, a heat balance coefficient of the simulation model and a tree species growth characteristic value are calculated, a trend curve is estimated, the simulation model trend curve is compared with a reference target model trend curve, and high-quality plants suitable for the target region are determined. When the simulation model is constructed, the heat balance coefficient in the target region range and the growth characteristic value trend of the plants in the target region are considered, so that more stable and longer forest ecological effects can be achieved in the target region.

The application discloses a sidewalk beneficial to growth of street trees, which comprises side ground bases, a road ground base, a sidewalk, a planting soil layer, a sidewalk ground base, a main beam, an auxiliary beam, a steel bar net, a first side stone, a second side stone, a third side stone, a water-permeable pavement, a tree pool and street trees, and the sidewalk is arranged between the side ground bases and the road ground base.

This invention discloses a method for optimizing the allocation of urban street green space resources based on lidar, relating to the field of urban planning and management. The method includes: acquiring lidar point cloud data of a target urban street area, preprocessing and classifying it, and extracting vegetation point clouds representing street trees; calculating shape parameters reflecting the external characteristics of street trees, and quantity parameters reflecting the volume and visual greenness of the green space; constructing a comprehensive greening index reflecting the combined relationship between the shape and quantity parameters, and determining key thresholds for matching the shape and quantity parameters through a piecewise linear regression model; and based on the key thresholds, classifying each street within the target urban street area into different types, generating corresponding green space resource optimization allocation strategies. This method achieves collaborative analysis of the shape and quantity indicators of urban street greening, and, based on objective thresholds, classifies them to generate differentiated and human-centered green space resource optimization allocation strategies.