280 results about "Urban greening" patented technology

The invention discloses an urban greening system based on big data and an optimization method thereof, relates to the technical field of artificial intelligence, and solves the problems of difficulty in heterogeneous data integration, insufficient real-time analysis capability of dynamic data and low management efficiency in an existing urban greening system. Multi-source heterogeneous data are collected through an API interface and Internet of Things communication, and are cleaned, aligned, converted and fused through a distributed real-time data stream processing platform; image recognition and a machine learning algorithm are used for monitoring diseases and insect pests in real time, and a growth prediction model is trained in combination with an LSTM network, so that the quick response capability of the system to environmental changes is enhanced; according to the method, target weights are dynamically adjusted and optimized through the deep Q network, a multi-target optimization model is constructed in combination with mixed integer linear programming, context awareness and a genetic algorithm, intelligent optimization of irrigation, fertilization, pest control and greening layout is achieved, and the management efficiency and the resource utilization rate of an urban greening system are remarkably improved.

The invention discloses coal gangue-based artificial ecological soil and a preparation method and application thereof, and belongs to the technical field of ecological improvement, the coal gangue-based artificial ecological soil comprises crushed coal gangue and a compound microbial agent, and the compound microbial agent comprises a microbial activating agent and a microbial passivating agent. According to the invention, the coal gangue can be quickly decomposed through the microbial activating agent, useful mineral elements in the coal gangue can be fully activated and analyzed, and the effect of activating a nutrient library in the coal gangue is achieved, so that useful trace elements contained in the coal gangue are effectively released and are easily absorbed by plant growth; meanwhile, harmful heavy metal elements in the coal gangue are passivated through the microbial passivating fungicide, the water-retaining property and the air permeability of the soil are guaranteed by controlling the decomposition particle size proportion of the coal gangue, the soil conditioner can be used for ecological restoration, desert control, agriculture and animal husbandry planting, flower and nursery planting and urban landscaping, the effects of improving the soil and promoting plant growth are achieved, and the soil conditioner is suitable for large-scale popularization and application. The application is wide.

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 provides a single tree segmentation-biological parameter estimation method based on a vehicle-mounted LiDAR point cloud, and belongs to the technical field of urban landscaping intelligent monitoring. The point cloud individual tree segmentation algorithm based on tree geometric feature constraint is designed for solving the problem that individual tree segmentation is difficult due to crown overlapping in an urban scene, and the method takes a tree geometric structure as a constraint, combines point cloud reflection intensity information, a clustering algorithm, a main direction index and other means, and obtains the individual tree segmentation algorithm based on the tree geometric feature constraint. And accurate extraction of trunks and crowns in the scene point cloud is realized. Aiming at the problems of high feature redundancy, poor model interpretability and the like in an existing estimation method, a random forest model is taken as a basis, an adaptive feature selection algorithm is introduced to improve variable screening efficiency, hyper-parameters are dynamically adjusted by utilizing pigeon inspired optimization, and generalization and stability of the model are enhanced; an estimation model used for estimating biological parameters such as leaf area index, biomass and carbon reserve is designed.

The invention relates to the technical field of greening irrigation equipment, in particular to urban greening green plant irrigation equipment which comprises a supporting plate, a water inlet pipe is fixedly connected to the center of the supporting plate, a grounding support is rotatably mounted on the lower end face of the supporting plate, and a uniform sprinkling irrigation assembly is fixedly mounted at the upper position of the peripheral wall of the water inlet pipe; the uniform sprinkling irrigation assembly comprises two sealing bearings fixedly installed on the peripheral wall of the water inlet pipe, and the outer rings of the two sealing bearings are fixedly connected with an irrigation frame. The spray pipe can perform vertical reciprocating swing spray irrigation during forward and reverse rotation, the irrigation range is greatly widened, the comprehensiveness and sufficiency of the green plant irrigation effect are improved, meanwhile, the rotary spray irrigation rate and the irrigation water flow can be adaptively adjusted according to the air humidity, the green plant irrigation effect is further improved, and the green plant irrigation efficiency is improved. More accurate irrigation operation can be carried out on the green plants, and the water waste condition of the irrigation operation of the green plants can be reduced.

The invention discloses an urban environment monitoring regulation and control system and method based on global greening data. The system comprises an image acquisition module, a monitoring module, an image analysis module, a sampling screening module, a global speculation module and a strategy generation module. The image acquisition module periodically acquires greening image data; the monitoring module collects vegetation monitoring data through a sensor group; the image analysis module extracts vegetation coverage areas and classifies the areas according to texture feature parameters (leaf area index, canopy height and texture uniformity); the sampling and screening module calculates a standard value of each unit area and screens and optimizes sampling areas; the global speculation module is combined with the sampling data to calculate monitoring data of an uncovered area; and the strategy generation module generates a targeted microclimate regulation and control strategy according to the monitoring data and the classification result. According to the invention, image analysis and sensor data are combined, precise monitoring and intelligent regulation and control of vegetation distribution are realized, and the ecological function and microclimate regulation and control effect of an urban greening area are improved.

The invention discloses an urban landscaping intelligent irrigation control method and device, and relates to the technical field of intelligent control, and the method comprises the steps: obtaining urban landscaping distribution information, carrying out the irrigation demand analysis, and determining a plurality of subdivided irrigation regions through clustering; for each subdivided irrigation area, generating a plurality of original irrigation schemes in combination with the growth cycle of vegetation; on the basis of Internet of Things sensing modules deployed in all regions, environment state and vegetation growth state data are collected in real time, regional weather prediction information is combined, an original irrigation scheme is dynamically optimized, a personalized irrigation scheme is generated, and intelligent irrigation control is carried out accordingly. The technical problems that in the prior art, a traditional irrigation mode lacks precise irrigation control over vegetation in different areas, irrigation cost is high, and diversification requirements are difficult to effectively meet are solved, and the technical effects that the irrigation cost and water resource waste are reduced through regional precise irrigation, and the diversification requirements of vegetation in different areas are met are achieved.

The invention discloses an urban street annual green vision rate calculation method based on multi-temporal streetscape images, and the method comprises the steps: generating streetscape sampling points according to road network data, collecting a plurality of temporal streetscape images of each streetscape sampling point covering all seasons of the whole year, carrying out the semantic segmentation of the streetscape images through a deep learning model, and obtaining the annual green vision rate of a city street. And extracting a vegetation region in the streetscape image, and performing mathematical expectation calculation on the green vision rates under different time phases to obtain the annual green vision rate of the urban street. According to the method, annual street view data are accurately collected and processed, and an effective means is provided for scientific evaluation of urban street greening by combining a deep learning technology and an image segmentation technology. According to the method, the urban planning department can be helped to know the greening condition more accurately, important decision support can be provided for subsequent urban greening improvement and street landscape optimization, and meanwhile, the method is high in automation degree and suitable for practical application of large-scale urban greening evaluation.

The invention discloses an arbor community construction method suitable for urban landscaping, and relates to the technical field of urban planning, and the method comprises the steps: deploying an environment sensor in a target urban landscaping region, and collecting the environment data of the target region in real time through a wireless sensor network; based on the environment data, adopting a genetic algorithm to carry out adaptability evaluation on a plurality of candidate tree species, and selecting a tree species combination with the strongest adaptability to carry out preliminary community configuration; and a multi-objective optimization algorithm is adopted to carry out optimization configuration on the number, distribution and ecological functions of tree species in the initial community configuration, the performance of the community under different environmental changes is evaluated, and the overall ecological benefits of the community are maximized. According to the arbor community construction method suitable for urban landscaping provided by the invention, the configuration of the tree species is automatically adjusted based on multi-dimensional evaluation of environmental data, tree species adaptability and community ecological benefits, and the community ecological benefits are maximized.

The invention discloses an urban landscaping tree species classification method based on a Pleiades Neo ultrahigh resolution multispectral satellite image. According to the invention, based on the Pleiades Neo image, an NDVI threshold method is adopted to rapidly identify the urban vegetation area; using a Unet < 3 + > model to separate vegetation in the shadow area and the illumination area; a shadow region tree species classification integration model is constructed by combining a superpixel segmentation algorithm and introducing a weighted dictionary and an attention mechanism, so that the classification precision is effectively improved; and carrying out tree species classification on the illumination area by using a deep learning algorithm and making an overall tree species distribution diagram. Aiming at the shadow interference problem in a high-resolution image, a set of tree species classification scheme comprehensively considering vegetation spectrum characteristics of an illumination region and a shadow region is developed by combining a deep learning algorithm to deeply mine potential information, a more accurate and feasible tree species distribution acquisition approach is provided for fine management of urban landscaping, and the urban landscaping quality is improved. And important data support is provided for health assessment and planning of the urban ecosystem.

The invention relates to the field of intelligent transportation and urban landscaping management, and discloses an LIM transportation junction landscaping landscape intelligent operation and maintenance method and system and electronic equipment, and the method comprises the following steps: constructing a landscaping landscape information model integrating a three-dimensional space model, physiological attributes and infrastructure topology; deploying a multi-source sensing network based on the model, and collecting environment, vegetation and operation and maintenance data; performing time-space association on the data and the model entity, and establishing a dynamic data management platform; constructing a vegetation digital twinborn prediction engine in combination with the physical information neural network and outputting a result; based on the prediction result, adopting multi-target reinforcement learning to generate a maintenance strategy; and executing an intelligent maintenance task bound with the model space coordinates according to a strategy. According to the method, unified integration and dynamic management of greening landscape data are realized, vegetation state sensing precision and prediction capability are improved, intelligent decision-making of multi-objective optimization is supported, and scientificity, efficiency and resource utilization rate of greening maintenance are effectively improved.

The utility model discloses a sewage intercepting device for a gutter inlet of an urban green belt, which comprises a sewage intercepting groove, a filter cartridge, a guide plate, a collecting hanging basket and a purifying area, and the bottom of the sewage intercepting groove is provided with an outlet; the filter cylinder is horizontally and movably arranged in the sewage intercepting groove, a plurality of first filter holes are formed in the filter cylinder in the circumferential direction, and a plurality of telescopic inclined plates are arranged on the outer portion of the filter cylinder in the circumferential direction; the guide plate and the collecting hanging basket are respectively arranged on two symmetrical sides of the filter cartridge; and the purification area is arranged in the sewage intercepting groove and is positioned between the filter cartridge and the outlet. Therefore, when rainwater is filtered by the filter drum, the filter drum can be pushed to generate rotating torque, so that the filter drum rotates to transfer intercepted impurities into the collecting tank in time, the problem of blockage of the filter drum is solved, the sewage intercepting tank can continuously and stably operate, and the rainwater treatment and drainage efficiency is improved.

The invention discloses a multi-fractal-based urban green vision rate dynamic evolution mode identification method. The method comprises the following steps: S100, acquiring urban street green vision rate data; s200, acquiring urban multi-scale walking isochronous circle data, and acquiring walking reachable areas within 5 minutes, 10 minutes, 15 minutes and 20 minutes through an API (Application Program Interface) of an OpenRouteService platform on the basis of an urban road network; s300, identifying a dynamic evolution mode of the green vision rate; and S400, identification result demonstration, including spatial distribution of a green vision rate dynamic evolution mode, key threshold identification and spatial structure differentiation, is used for assisting urban greening structure optimization and scientific intervention strategy formulation. According to the method, the problems of staticization, single scale and insufficient structure expression in the existing urban street view green visual rate analysis are solved.

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 present invention relates to the technical field of urban green space identification, and specifically to a high-resolution urban green space identification method. The present invention can identify urban green spaces more finely by utilizing the two steps of "preliminary identification" and "fine identification", especially the green spaces on both sides of roads. The present invention also utilizes the progress prediction and extraction of deep learning models, and has higher accuracy and migration capabilities than the prior art, and has a faster processing speed, thereby providing a high-quality and efficient method for solving the deficiencies in urban greening identification.

The invention provides an urban green land soil rapid infiltration device which comprises main boxes, the main boxes are connected through connecting pipelines, the upper ends of the main boxes are provided with filter discs, the lower ends of the main boxes are connected with hopper-shaped connecting pipes, the lower ends of the hopper-shaped connecting pipes are connected with a plurality of water guide main pipes, and the water guide main pipes are provided with a plurality of first water guide branch pipes; a plurality of second water guide branch pipes are arranged on the first water guide branch pipes, and the mounting directions of the first water guide branch pipes and the second water guide branch pipes are obliquely downward. Rainwater is efficiently collected and filtered and evenly distributed into soil, the urban drainage pressure is relieved, and groundwater supply is promoted. The permeation amount can be adjusted according to season requirements through the flexible through hole adjusting design, and maintenance and installation are facilitated through threaded connection. The filter plate ensures water quality, and the natural infiltration process supports plant growth and improves urban microclimate. The modular design adapts to projects of different scales, the adjustable structure meets various environmental requirements, and a sustainable solution is provided for urban landscaping.

The invention relates to a coconut shred vegetation blanket protection revetment and a construction method thereof.The coconut shred vegetation blanket protection revetment comprises a plurality of coconut shred vegetation blankets arranged on a side slope of a river or a mountain or a terrace, the coconut shred vegetation blankets are sequentially arranged in a lap joint mode in the extension direction of the side slope, and the coconut shred vegetation blankets are anchored to the side slope through anchoring parts; a seed layer is scattered on the coconut shred vegetation blanket, a layer of planting soil covers the seed layer, and a seed layer is scattered on the surface of the planting soil. According to the method, flexible slope protection can be conducted on slopes of roads, railways and river channels, construction is rapid, the soil fixation effect is good, the method and roadbed construction can be conducted at the same time, the soil fixation and slope protection effects are achieved through different plant communities, the construction cost is much lower than that of a traditional method, and the later maintenance cost is almost zero. The coconut shred vegetation blanket can be applied to various urban landscaping, the construction speed is high, the survival rate is high, selectivity is high, a large amount of water is not needed, the current situation of water use is fundamentally solved, and a large amount of cost is saved.

The invention relates to the technical field of greening management, in particular to an urban greening state monitoring method and system based on digital mirror image information, and the method comprises the steps: collecting the real-time live-action data of a designated city, combining the real-time operation rule of the city, and generating a virtual city update mirror image through a digital twinborn technology; extracting digital mirror image information in a specified time period from the virtual city updated mirror image to obtain greening state mirror image data, and generating a virtual city greening state by analyzing the mirror image data; further detecting the greening state of the virtual city, generating greening state early warning information, and feeding back the greening state early warning information to the real city to determine a monitoring area and a monitoring index; and performing live-action monitoring on the designated area of the real city, collecting and analyzing monitoring data to obtain an actual monitoring result of the alarm area, and synchronizing the actual monitoring result to the virtual city update mirror image. Dynamic monitoring and bidirectional feedback of the greening state are realized, and technical support is provided for fine management and scientific decision-making of urban greening.

The utility model belongs to the field of urban landscaping irrigation, particularly relates to an urban landscaping irrigation device, and aims to solve the problems that when an existing urban landscaping irrigation device is used, nozzles of different specifications are generally replaced according to urban landscaping conditions, but the atomization nozzles are fixedly mounted on guide pipes, so that the atomization nozzles cannot be replaced. In order to overcome the defects that in the prior art, a worker needs to hold a tool to replace an atomizing nozzle, the working efficiency is affected, and certain limitation and inconvenience exist, the utility model provides the following scheme to be improved: the device comprises a base for urban landscaping, a conveying mechanism, a switching mechanism and a control module; a support is arranged on the base, a first round pipe is fixedly installed on the support, and the switching mechanism is arranged on the support and connected with the first round pipe. According to the utility model, the effect of automatically switching the plurality of irrigation nozzles can be realized according to different urban landscaping through the cooperation of all the parts, so that the labor amount of workers is reduced, and the working efficiency is improved.

The invention relates to an automatic drip irrigation system for urban flower and tree landscape green plastic, which comprises a flower and tree landscape guardrail, flower and tree landscape pots, a rainwater filtering and backflow mechanism and a flower and tree drip irrigation mechanism, and is characterized in that 4-6 flower and tree landscape pots are equidistantly placed on the top surface of the flower and tree landscape guardrail; two sets of flower and tree drip irrigation mechanisms are arranged in an inner cavity of the flower and tree landscape guardrail, rainwater filtering and backflow mechanisms are arranged on the surfaces of the bottoms of the flower and tree landscape pots, and the tail ends of the rainwater filtering and backflow mechanisms penetrate into the inner cavity of the flower and tree landscape guardrail (1) to be connected with the flower and tree drip irrigation mechanisms. According to the automatic drip irrigation system, rainwater in the flower and tree landscape pot is collected, filtered in a multi-layer mode and then flows back to the water tank to be stored, rainwater recycling is achieved, dependence on an external water source is reduced, water resources are effectively saved, the urban landscaping water cost is reduced, irrigation parameters can be flexibly adjusted, and the irrigation efficiency is improved. The water demands of different flowers and trees in different growth stages are met, and healthy growth of the flowers and trees is promoted.

The utility model discloses a planting device with an infiltrating irrigation function, which comprises a planter, a water pump, a water pump and a water pump, a cavity for planting flowers and trees is arranged in the planter, and a mounting hole is arranged on the side wall or the bottom wall of the planter; the water supply pipe group is fixedly connected with the mounting hole; the water seepage assembly comprises a connecting base and a plurality of membrane wires, the ends of the membrane wires are fixed to the connecting base in a bunch mode, the membrane wires are dispersed in the containing cavity and close to the root system of the plant, and water flow in the water supply pipe set permeates outwards through the membrane wires and wets soil. The problem that urban greening or road green belts waste water sources is solved, the cultivation limitation of the severe environment on green plants is reduced, greening and environment recovery of places such as stone mountains, rugged areas and arid areas where watering is inconvenient are facilitated, and greening of family courtyards and balconies can be facilitated.

The utility model discloses a bearing and shock resistance enhanced planting single body and a planting module, which comprise a planting single body plate body, a first planting surface layer and a second planting surface layer, and the first planting surface layer and the second planting surface layer are integrally formed; the first planting surface layer and the second planting surface layer are provided with continuous planting cavities, the centers of the planting cavities of the first planting surface layer and the second planting surface layer are arranged in a staggered mode, and the adjacent planting cavities of the first planting surface layer and the second planting surface layer are communicated with each other. The utility model further discloses a planting module at least made of the planting single plate, the planting single plate has remarkable technical effects in the aspects of bearing, planting, factory production, laying efficiency and the like, and an efficient and practical solution is provided for urban landscaping engineering.

The invention relates to the field of urban landscaping management, and discloses an urban landscaping monitoring and management system based on the Internet of Things, the monitoring and management system comprises a division module, a plurality of monitoring modules and an analysis module, and a landscaping area is divided into a plurality of target areas according to plant varieties through the division module; monitoring the corresponding target area through a monitoring module, and obtaining plant monitoring data and environment data of plants in the corresponding target area; analyzing the plant monitoring data through an analysis module to obtain the growth stage of the plant, performing analysis according to the growth stage of the plant, the plant monitoring data and the environment data, and judging whether the plant in the corresponding target area is abnormal or not according to analysis; the accuracy of plant health state evaluation is improved, so that supervisors can know the health condition of plants in each target area in the greening area more intuitively, and plant abnormity can be found in time for corresponding processing.

The utility model belongs to the technical field of urban landscaping, and particularly relates to a rapid grass planting device for sponge city landscaping, which comprises a grass planting box and a water storage tank, grass planting grids for planting vegetation are inserted into the grass planting box, drain holes are formed in the lower ends of the grass planting grids, the lower end of the grass planting box is communicated with the water storage tank through a pipeline, and the water storage tank is communicated with the water storage tank through a pipeline. A water storage box is mounted on one side of the upper end of the water storage tank in a linear array mode, a round pipe is mounted at one end of the water storage box through a driving assembly, the round pipe is rotationally connected with the water storage box, a water spraying pipe with a spraying head mounted at one end is mounted in the round pipe through a fixing assembly, and the water storage tank communicates with the water storage box through a water pump; when the device is used, the round pipe is swung in a reciprocating mode, the spraying angle of the spraying head is increased, vegetation is irrigated comprehensively and evenly, the situation that normal growth is affected due to the small irrigation amount of part of vegetation is avoided, the spraying range can be adjusted, the water spraying pipe can be moved and fixed through the threaded rod, and the height of the water spraying pipe can be adjusted; vegetations with different heights are irrigated, and the irrigation effect is improved.

The utility model discloses a tree anti-toppling supporting structure for municipal greening gardens, and relates to the technical field of urban greening, the tree anti-toppling supporting structure comprises a first supporting plate, the front side and the rear side of the bottom of the first supporting plate are fixedly connected with protection assemblies, and a sapling sleeving hole is formed in the top of the first supporting plate in a penetrating mode. According to the tree anti-toppling supporting structure for the municipal greening garden, by arranging a third rotating rod and a second rotating rod, a sapling can press a first supporting plate to move downwards, force unloading is conducted through a clamping roller, the first supporting plate moves downwards, and a first limiting plate drives a first connecting rod and a second connecting rod to move downwards; through the arrangement of the sliding rods, the moving frame can be reset, the contact points of the clamping rollers and the saplings are different, the saplings are buffered, the saplings are not prone to being broken, and planting and growth of the saplings are facilitated.

The invention discloses an urban three-dimensional greening feature measurement method and system based on a human-based view angle and ground-air fusion, a terminal and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining multi-source data corresponding to a target region, the multi-source data comprises oblique photography data acquired based on aerial equipment and laser point cloud data acquired based on ground acquisition equipment; coloring the laser point cloud data according to a preset point cloud coloring operation to obtain target point cloud data; constructing a three-dimensional greening model corresponding to the target area according to the oblique photography data and the target point cloud data; according to a preset viewpoint height, determining a corresponding human-based viewpoint in the three-dimensional greening model; and constructing a ray beam according to the human-based visual angle point and a preset vision field parameter, and determining a value of a greening characteristic evaluation index corresponding to the target area based on a collision detection result of rays in the ray beam and the three-dimensional greening model. Therefore, the accuracy of urban landscaping characteristic measurement can be improved.

The invention relates to a split mounting type flower box which solves the problems that in the prior art, dismounting and mounting are tedious, the structural stability is poor, and adaptability is insufficient. According to the technical scheme, the box comprises a bottom support, an enclosure bulkhead and a retaining ring matched with the top end of the enclosure bulkhead, the edge of the bottom support is provided with an upper folding edge, the lower end of the enclosure bulkhead is a lower inserting edge which is folded inwards and turned downwards, and the lower inserting edge is inserted into the inner side of the upper folding edge and matched with the upper folding edge in an abutting mode. The upper folding edge is connected with and limits the lower inserting edge on the bottom support, and the retaining ring is used for limiting and fixing the upper end of the enclosure bulkhead, so that the enclosure bulkhead is in a fixed, stable and reliable cylinder shape. The multifunctional landscape lamp has the advantages of being stable and reliable in structure, convenient to disassemble and assemble, low in transportation and storage cost, high in function adaptability, good in durability and the like, and can be widely applied to various scenes such as urban landscaping and courtyard decoration.

The utility model discloses sponge city green belt irrigation equipment, and belongs to the technical field of irrigation equipment. The sponge city green belt irrigation equipment comprises a base, the top of the base is fixedly connected with a stirring barrel, a water pump and a portal frame, the input end of the water pump is connected with the stirring barrel in a penetrating mode, the input end of the water pump is fixedly connected with a corrugated pipe through a pipeline, and the inner wall of the portal frame is rotationally connected with a threaded cylinder through a bearing; a threaded rod is connected to the inner wall of the threaded cylinder through threads, an L-shaped block is fixedly connected to the end of the threaded rod, and a supporting rod is fixedly connected to the bottom of the L-shaped block; by arranging the threaded barrel, the threaded rod, the L-shaped block, the fan-shaped pipe and the spray head can be driven to move, so that the irrigation area of the spray head is increased, the situation that the irrigation area is limited to a certain extent due to the fact that a traditional fixed spray head is used is avoided, and the irrigation efficiency is improved through cooperation of the parts. And the practicability of the irrigation equipment can be effectively improved.

The utility model discloses a garden waste sorting device for urban landscaping, which is applied to the field of urban landscaping and is characterized in that a first motor rotates to drive a transmission roller to rotate, the transmission roller rotates to drive a transmission belt to rotate, the transmission belt rotates to drive a transmission block to move, and the transmission block moves to drive a sliding plate to reciprocate; according to the waste sorting device, the sliding plate moves in a reciprocating mode to drive the raking head to move in a reciprocating mode, and the mode that the raking head moves in a reciprocating mode to spread the waste is adopted, so that the purpose of spreading the waste can be achieved, and the sorting quality is improved; the first gear rotates to drive the second gear to rotate, the second gear rotates to drive the second rotating shaft to rotate, the first rotating shaft and the second rotating shaft rotate to drive the feeding rod to rotate, and the feeding rod rotates to discharge waste out of the feeding hopper, so that the purpose of preventing blockage can be achieved, smooth feeding is guaranteed, and the sorting efficiency is improved.

This invention relates to the field of urban greening engineering technology and discloses a lawn seed cultivation device for urban greening projects, including a trolley. The trolley has a swinging device on its top, a fertilization device on its top, and a compaction device on its bottom. The swinging device includes a support plate, a motor, a support frame, a seed bucket, a rotating rod, a reciprocating screw, a sowing plate, a rocker plate, a grooved plate, a guide plate, and a baffle. The support plate is fixedly connected to the front of the trolley, the motor is fixedly connected to the front of the support plate, the support frame is fixedly connected to the top of the trolley, and the seed bucket is fixedly connected to the top of the support frame. The baffle acts as a physical divider and guide, creating a suitable sowing space for lawn seed sowing by clearing away the soil.