131 results about "Urban green space" patented technology

The invention discloses a rainwater collecting and recycling system for an urban green land and a plaza; the rainwater collecting and recycling system comprises the green land, roads around the green land and the plaza; the green land is of a sunken structure which is lower than the roads and the plaza; the plaza is of a dome structure which is slightly lower at four sides; and the roads are of arched structures which are higher at the middle and slightly lower at two sides; rainwater on the roads and the plaza enters a water collecting well which is connected with a covered filtering channel; the water drain end of the covered filtering channel is connected with an underground impounding reservoir; a concrete cover plate layer is arranged at the upper part of the impounding reservoir; the green land is arranged at the upper part of the concrete cover plate layer; a water pump is arranged in the underground impounding reservoir; and the water outlet of the water pump is connected with a green land irrigation spray head. The rainwater collecting and recycling system for the urban green land and the plaza relieves the pressures on sewage disposal, municipal water supplying and shortage of urban water sources, realizes rainwater recovery and gives full play to the ideas of energy conservation, emission reduction and sustainable development.

A covering material for the garden or park to shield to exposed ground is prepared from natural biological material (such as tree twigs, straw, stalk, etc) through mixing with pigment, slow-releasing fertilizer and water preserving agent, and shaping to become flakes, small blocks, or particles. It can be spread on the exposed ground in garden or park for beautifying environment, providing fertilizer to trees or other plant, and preserving soil moisture.

The invention discloses a method for simulating influence of urban green space patterns on thermal environments. The method comprises, firstly, extracting the surface feature distribution information of a researched region on remote sensing images through the object-oriented segmentation technology, filtering Lidar point cloud data to obtain three-dimensional information of buildings and vegetations, integrating the surface feature distribution information and the three-dimensional information of the buildings and vegetations to structure a high-precision three-dimensional model; secondly, inverting surface temperature, atmosphere moisture content and air temperature through the remote sensing technology to estimate surface average temperature, and querying meteorological data to obtain the soil moisture of the region, and taking the surface average temperature, the soil moisture, the atmosphere moisture content and the air temperature as the initial conditions of a CFD (computational fluid dynamics) model. By means of the high-precision three-dimensional model and by accurately simulating the initial conditions in real time, the method for simulating the influence of the urban green space patterns on the thermal environments improves the simulating precision and the application reliability of the CFD model; meanwhile, the CFD model enhances the prediction capacity of the remote sensing technology.

The invention provides an urban green land classification method based on a high-resolution remote sensing image so as to solve the problem of greater workload in the existing urban green land confirmation method. The method comprises the following steps of: extracting urban green land from the obtained urban high-resolution satellite remote sensing image; carrying out function division on urban land according to urban land characters, and dividing the urban land into residential land, industrial land, land for roads, park green land or protective green land; and determining the green land characters of the extracted urban green land according to the function division, wherein the green land can be divided into park green land, appendage green land, production green land, protective green land or other green land. The urban green land in the urban high-resolution satellite remote sensing image is firstly divided according to the urban land characters, and then the corresponding green land attributes are given to divided regions, thus the method can quickly divide the types of the urban green land and reduce the workload and has the advantage of accurate result.

The invention discloses a wetland process for deep purification of tail water of a sewage plant, which comprises the tail water of the sewage plant, a limestone filter pool, a submerged plant oxidation pond, a vertical-flow wetland, a surface-flow wetland, a composite substrate filter pool, an ecological reoxygenation pond and a receiving water body. The wetland process has the characteristics of efficient and ecological denitrification and dephosphorization, utilizes a water head with the height of about 0.5m to automatically flow, has the hydraulic load of 200mm / d, has no energy consumption and drug consumption, is anti-clogging, and can perpetually and steadily operate with low cost; the removal rate of nitrogen and phosphorus is higher than 95 percent, and the water quality of water output is superior to the GB3838-2002 ground surface class III water standard. The wetland process is suitable for the deep purification of the tail water of small sewage plants in cities and towns, and the treated output water can be recycled in water-deficient areas and can serve as a high-quality water source for the supply of water bodies of landscapes in the cities or residential areas. The process needs larger land area which can be merged into a whole with green areas and wetland parks of the cities. In the sewage plant of Eryuan county, Yunnan province, the process is utilized to build 2.2 hectares of wetland engineering for the deep purification of the tail water, the daily water treatment capacity is 4,000m<3>, the sewage plant has been steadily operated for 5 years, and the annual operation management cost is fifty thousand yuan.

The invention discloses an urban greenbelt landscape evaluation method and device, a storage medium and terminal equipment. The method comprises the following steps: acquiring sampling point streetscape image data and preprocessing the sampling point streetscape image data; performing image semantic segmentation processing on the preprocessed street view image data; and obtaining a green plant ground object coverage pixel proportion, a colored plant ground object coverage pixel proportion and a plant color type in the streetscape image data after image semantic segmentation processing, and determining a landscape evaluation score of the to-be-evaluated city. Streetscape images are used for replacing streetscape three-dimensional images which need to be obtained through on-site investigation, processing the streetscape image data to obtain a colored plant ground object coverage pixel proportion and a plant color type; the urban green space landscape evaluation method achieves analysis of colored plant ground objects, solves the problems that green space landscape evaluation data are difficult to obtain and data analysis is not comprehensive enough, and can automatically collect landscape three-dimensional images and conduct unified processing and system analysis.

The invention provides a landscape ecological efficiency evaluation method for urban greenbelt planning. The method comprises the steps of collecting and preprocessing basic data; calculating a landscape pattern optimization index of urban greenbelt planning; calculating an ecological process optimization index of urban greenbelt planning; calculating a landscape ecological efficiency comprehensive optimization index of urban green space planning; and quantitatively evaluating the comprehensive optimization effect of the urban greenbelt planning landscape ecological efficiency. The quantitative evaluation method is provided for demonstration and selection of the urban greenbelt planning scheme, and scientificity and effectiveness of the urban greenbelt planning scheme are improved.

The invention provides a sunshine shadow analysis method facing urban green land planning. The method comprises following steps: S101. the sunshine environment is simulated based on a three-dimensional city; S103. solar radiation analysis on buildings is carried out to obtain the features of solar radiation; S105. calculation and simulation of shadow area of buildings are carried out to obtain features of shadows; S107. the solar radiation features and the shadow features are combined to find out a dynamic spatial distribution rules of the buildings along with the variation of time; optimization of green land layout is realized according to the dynamic spatial distribution rules and the present situations of the area planning. According to the sunshine shadow analysis method facing urban green land planning, the variation of the sunshine and the shadow is simulated as a continuous process; the ground surface plant demands are fully taken into account; the analysis capability in processing scattered radiation and reflection radiation of shelters and the ground surface is effectively increased.

The invention relates to an all-in-one machine used for urban green land digging and fertilizing. According to the all-in-one machine, a generator (8) is used for generating electricity and providing a small hydraulic power pack (3), which is fixed on the back end of a frame (15), with electric power; the hydraulic power pack (3) is used for providing a hydraulic motor I (7), a hydraulic motor II (11), a hydrocylinder I (10) and a hydrocylinder II (13) with power. The hydraulic motor I (7) is controlled by an operating button (1); the all-in-one machine is driven by the hydraulic motor I (7) to move to a certain place; and then the operating button (1) is pressed, so that a drill (4) is driven by the hydraulic motor II (11) to rotate. The drill (4) is driven by the hydrocylinder I (10) and the hydrocylinder II (13) to move downward for digging; and at the same time, removed mud is delivered into a soil storage cover (6) by the drill (4); after digging, the hydrocylinder I (10) and the hydrocylinder II (13) are drawn back, and the hydraulic motor II (11), the drill (4) and the soil storage cover (6) are all drawn back to original positions. Blades (16) connected to a fertilizer tank (14) are driven by a stepping motor (2) to rotate a certain numbers of circles so as to deliver a certain amount of fertilizer into the soil storage cover (6); and meantime, the drill (4) rotates all the time so as to stir the fertilizer and soil in the soil storage cover (6) fully; and then the drill (4) rotates backward so as to delivery the stirred soil into holes. Operation of the all-in-one machine is simple, it just needs one person to operate the all-in-one machine, and labor efficiency can be increased effectively.

The invention provides a method and a medium for extracting green degree space of an urban agglomeration. The method comprises the following steps: acquiring high-score remote sensing data of urban agglomeration and extracting land cover data of urban agglomeration; Obtaining the social perception data of urban agglomeration, and extracting the social function attribute data of urban agglomerationland; According to the cover data and social function attribute data, the land of urban agglomeration is classified, and the information about the land and greenness of urban agglomeration is obtained. According to the classification information, the greenness of urban agglomeration is extracted. The present invention solves the problem that only a single remote sensing data can obtain the land cover information in the related art, and the social function attribute of the urban green space cannot be obtained, and realizes the statistics and research of the urban agglomeration green space containing the social function attribute.

The invention provides an analyzing technique for urban ecological demand water. An urban ecological system is divided into an urban greenbelt and an urban ecological system of rivers and lakes; ecological demand water is correspondingly divided into plant demand water, soil demand water, riverway demand water, lake existing demand water, water surface evaporation demand water, leakage demand water, lake exchange demand water and sight recreational demand water. The invention discloses a computing method of the ecological demand water, which comprehensively considers the requirements of the urban greenbelt and urban rivers and lakes, and a computing method of the ecological demand water, which is oriented to the configuration of urban water resources; the invention also defines the grade ranging standard of the urban ecological demand water and effectively solves the quantitive problem of the urban ecological demand water.

The invention relates to an urban runoff non-point source pollution advanced treatment and reuse technology. According to the technology, an urban runoff collecting system, a treatment system and a storing and recycling system are included; the urban runoff collecting system comprises a roadside water permeation plant zone and permeating type urban green land which are used for collecting and initially purifying an urban non-point source; the treatment system comprises an ecology gravel bed and wet land which are used for further removing pollutants such as heavy metal, nitrogen and phosphorus in the urban non-point source; the storing system comprises a high-quality water self-purification landscape pond which can achieve deep purification on an urban runoff, have the landscape effect and supply high-quality reclaimed water to urban landscaping and watering, underground water supplementing and the like. Accordingly, the technology which can efficiently remove various kinds of the pollutants in the urban non-point source runoff and produce and reuse the high-quality reclaimed water is supplied through optimization and improvement of all the units for urban runoff non-point source pollution.

The invention discloses an organic mulch for urban green spaces and a mulching method of the organic mulch. The organic mulch comprises the following raw materials in parts by weight: 100-120 parts of a mixture of leaves, branches and barks, 50-60 parts of a straw mixture and 5-10 parts of semi-corrosive organic fertilizers. The organic mulch provided by the invention can recycle agricultural and forestry wastes, reduce dust of green spaces, improve physical and chemical properties of soil, and reduce landscaping costs.

The invention provides an artificial sponge soil for urban green space, and relates to the technical field of artificial soil. The artificial sponge soil for urban green space includes a surface layerof buffering pervious bed and a ground layer of aquifer, wherein the buffering pervious bed comprises the following components in a volume ratio: 35%-45% of sandy soil, 20%-30% of industrial and mining waste, 15%-25% of agricultural and forestry waste decomposed substrate, 15%-25% of perlite, 0.5%-1% of granule agent, and 0.5%-1% of stabilizer; the aquifer includes the following components in a volume ratio: 30%-40% of clay soil, 20%-30% of agricultural and forestry waste decomposed substrate, 0.1%-1% of granule agent, 5%-15% of bentonite, 10%-15% of vermiculite, 15%-25% of plant fiber, 0.05%-1% of microbial agent, and 2%-8% of fertilizer; the thickness of the buffering pervious bed is 3 cm to 10 cm; and the thickness of the aquifer is 10 cm to 30 cm. The artificial sponge soil for urbangreen space has the characteristics of strong water permeability, high water storage capacity, good erosion resistance and the like, thus being able to improve the quality of rainwater infiltrated into the soil, reduce pollution to urban groundwater, achieve the purpose of rainwater infiltration, storage and purification, and greatly reduce the high cost of sponge city construction.

The invention provides an urban green belt trimming robot comprising a caterpillar walking component, a vehicle body component, a cutter holder component, and a smart controlling component. The trimming robot can automatically trim urban green spaces. A rotation platform for driving the cutter holders to rotate can conduct real-time adjustment on rotary-cutting direction of the cutter holders and implement multi-pattern correction trimming; the eccentric engagement of middle gears and inner gear rings can realize self-rotation of the cutter holders and enables rapid cutting of the plants in the urban green belt; track drive walking enables the robot to adapt to various terrains and enables the robot to be widely used; the smart system control allows the trimming robot to automatically trim the greenbelt and makes the trimming robot especially suitable for the automatic trim of a long-distance linear green belt and thus markedly reduces physical labor of workers.

The invention relates to an urban green land extracting method cooperating with a multisource remote-sensing image. The method comprises the following steps that S1, a high-resolution image and a multispectral image are collected, image registering is carried out, the registered images are stacked, and a stacked image is obtained; S2, the stacked image is subjected to image segmentation based on the ground object space-spectrum features of the stacked image in S1, and a final segmented object is obtained; S3, vegetation spectral indexes are constructed through spectral information in the multispectral image based on the final segmented object in S2, a threshold value is selected, urban green land information is obtained, and drawing is carried out. Compared with the prior art, the urban green land condition can be extracted fast and accurately, drawing is carried out, and the method can be widely applied to the fields of urban planning, urban environment assessment and the like and isbeneficial to urban planning and development of the environmental protection cause.

The invention provides a fragrant organic mat for bare soil, which comprises vegetable organic matter, flavouring agent, etc. The organic mat can retain water, reduce the waste of water resource, absorb dust in cities, restrain the weed from breeding, provide nutrient for plant growth, durably give off fragrancy and beautify human settlement; besides, the organic mat not only provides effective approach for solving the problem of bare soil in urban green lands, but also realizes the recycling of vegetable organic wastes.

An urban green land vegetation information datamation accurate determination method comprises the steps of collecting high-resolution panchromatic images, hyperspectral images and thermal infrared images in a target area, obtaining approximately continuous spectral reflectance of different plant species, enhancing the ability to detect ground feature attribute information, and combining texture features of the high-resolution panchromatic images to accurately position and recognize plant contours, and detecting the plant temperature through thermal infrared data. The method can determine and identify plant species types, obtain geographical position, area, chlorophyll, carotenoid, anthocyanin and temperature information of urban green land plants, and also can obtain crown projection areasand crown projection perimeters of trees and shrubs. An object-oriented greenbelt vegetation accurate measurement method is proposed for the first time, and urban greenbelt information in a large-area range can be rapidly and accurately measured. Compared with most inversion models based on pixels, the method has the advantages that the calculation result is faster, more accurate and more comprehensive.

The invention discloses an urban green land soil moisture content detection method. The method comprises steps of preprocessing yperspectral data and panchromatic images; setting a sample plot, and measuring the moisture content of the sample; obtaining a vegetation area and a non-vegetation area through image segmentation and contour recognition, and selecting a bare soil sample of the non-vegetation area to obtain an end member spectrum curve of bare soil; extracting an exposed soil distribution area; utilizing the thermal infrared data to respectively establish inversion models for the plant coverage area and the bare soil area, and calculating constant values in the inversion models and inversion area soil moisture content in combination with the measured values. According to the method, image segmentation, contour recognition and spectral angle classification are combined, a vegetation coverage area and an exposed soil area are distinguished, two soil moisture content models are established, the soil moisture content of the urban greenbelt can be indirectly and directly detected, the adopted method is convenient and practical, large-area soil moisture content detection can beachieved, compared with most soil moisture content determination methods, the method is faster, more accurate and more comprehensive.

The invention relates to an urban green land high-resolution remote sensing monitoring method and system, and the method comprises a training sample set construction step, a multi-dimensional featurespace construction step, a UNet + model construction step, and an image post-processing step, and comprises the steps: constructing a multi-dimensional feature space, enhancing the feature richness, and constructing a UNet + deep learning model at the same time; and by combining an image post-processing method, improving generalization and robustness of the monitoring method to solve the overfitting problem which is easy to occur due to limited training samples, so that the precision and timeliness of urban green land high-resolution remote sensing monitoring are improved.

The invention provides a quick color ground cover roll production and light-weight roof greening method, which can be used in the fields of roof greening, urban green space, boulevard greening, waterside greening and the like; non-woven fabrics, plastic net, shading net, geotextile and plant fiber braids and the like, are adopted as backers for the quick production of a soilless ground cover carpet and a ground cover roll, seed stems are laid on the backers to be curled up or laid flatly, moisture cultivation is carried out and then the seed stems can be used for greening construction within one week of the growing season; the seed stems can be directly sown on the green ground in a proper growing season and regularly irrigated by sprinkling; with regard to the light-weight roof greening, the ground cover roll is laid on a pricking-resistant layer structure, or plants are planted on the planting base, covered with non-woven fabrics and irrigated regularly and fertilized with small amount of a fertilizer. The ground cover plant greening of the invention has the advantages of simple application method, saving seedling raising land, sticking no soil, being environment-friendly and being clean.

The invention discloses a method and system for estimating the carbon sink amount of an urban green land system. The method comprises the following steps: constructing a multivariate regression equation of the carbon sink amount of trees and shrubs and influence factors of tree height, crown breadth, diameter at breast height and vertical projection area; through sampling field measurement, obtaining vegetation data including tree height, diameter at breast height, crown breadth and vertical projection area of arbor, shrub and grass; calculating the carbon sink amount in each quadrat by using an existing method; obtaining relevant parameters through scheme index query, multivariate regression analysis of measured data and quadrat carbon sink quantity and the like; and substituting related parameters of different green land types into the multiple regression equation to obtain the urban green land system carbon sink amount of overall planning, and performing visual presentation. The invention provides the method with high operability for estimating the carbon sink quantity of the overall planning layer green land under the scale of the urban built-up area.

The invention provides a method for determining urban green space pest risk levels, which comprises the following steps: scoring a plurality of index layers of a pest source and acquiring the scores of the index layers, wherein the index layers comprise a plurality of specific risk evaluation indexes; calculating the scores of the index layers to obtain the score of a factor layer, wherein the factor layer comprises a plurality of evaluation factors consisting of a plurality of specific indexes; calculating the score of the factor layer to obtain the score of a program layer, wherein the program layer comprises a plurality of evaluation rules of the plurality of evaluation factors; calculating the score of the program layer to obtain the score of a target layer, wherein the index of the target layer is the comprehensive risk index of foreign species; and finally, determining the risk levels of the foreign species according to the calculation results. After the risk evaluation of foreign species, the method determines corresponding risk levels and determines the levels of the corresponding risk levels of the foreign species to determine whether manual interference is necessary, thereby ensuring the safety and controllability of organisms in urban green space.

The invention discloses an urban green land-oriented mowing robot traversal path planning method which comprises the following steps: acquiring an original map of a target area: acquiring current position information of the mowing robot and environment map information of the target area, namely a radar map, through a laser radar, and taking the radar map as the original map of the target area; dividing the original map: performing region division on the original map by adopting a cattle-farming decomposition method, and dividing the original map into a plurality of sub-regions without obstacles; determining a traversal sequence of the sub-regions; planning the traversal sequence of each sub-region by adopting a depth-first search algorithm; and traversal of each sub-region: carrying out reciprocating traversal on the interior of the sub-region, and finishing path transfer between the sub-regions by adopting an improved A * algorithm so as to realize full-coverage traversal of the target region. According to the method, the difficulty of realizing the traversal path planning of the mowing robot can be effectively reduced, the working efficiency of the mowing robot is improved, the traversal coverage rate is high, the repetition rate is low, and the method has good environment adaptability.

The invention discloses an urban heat island master control factor analysis method and device and a storage medium. The method comprises the following steps of preprocessing the acquired Landsat TM image data, and carrying out image segmentation after obtaining the real surface temperature data and the urban green land plaque information; after the urban heat island area image is obtained, arranging the grid units, calculating the average surface temperature in each grid unit, selecting n greenbelt landscape pattern indexes as the influence factors, and calculating the urban greenbelt landscape pattern index information in each grid unit; and according to the average surface temperature and the urban greenbelt landscape pattern index information, constructing a surface temperature prediction model of the greenbelt pattern index, and decomposing the model decision coefficient R2 to obtain a joint contribution percentage and an independent contribution percentage of each greenbelt pattern index, thereby identifying the main control factors of an urban heat island. According to the method, the spatial heterogeneity of the urban heat island and the influence factors thereof can be considered, and the rapid and high-precision mining of the urban heat island control factors is achieved.

The invention provides a park green space disaster prevention and risk avoidance capability evaluation method and system, and the method comprises the steps: obtaining the image data information of apark green space system, extracting the target park green space data from the image data information, and obtaining the historical disaster data of a target park green space; screening each evaluationindex of the disaster prevention and risk avoidance capabilities of the target park green land according to the target park green land data, and determining the comprehensive weight of each evaluation index; and according to the historical disaster data, each evaluation index and the comprehensive weight of each evaluation index, evaluating the disaster prevention and risk avoidance capability ofthe target park greenbelt, and generating an evaluation result. Through implementation of the invention, a unified evaluation standard is provided for disaster prevention and risk avoidance capabilities of park greenbelts; the evaluation result can visually reflect the disaster prevention and risk avoidance capability of the park green space, provides a theoretical basis for urban park green space disaster prevention planning, and has important significance for reinforcing the protection and development of park green space landscape resources, optimizing the disaster prevention capability ofan urban green space system, consolidating the stability of the green space system and the like.

The invention discloses an intelligent urban green land rainwater collection and utilization device. Edge stones are arranged at the junction of roads and green land, and disconnection outlets are arranged at every interval of the length of the edge stones. Grille plate, the lower part of the grille plate is provided with a sump, the bottom of the sump is connected to the water inlet end of the gravel filter underdrain through a solenoid valve, and one end of the gravel filter underdrain is connected in turn with an aeration adjustment tank, a hydrolysis acidification tank, a contact oxidation The other end is connected to the sewage collection tank through a solenoid valve, and the first aeration system is installed at the bottom of the aeration regulating tank; the water distribution system is installed at the bottom of the hydrolytic acidification tank, and the water distribution system The upper part is equipped with hydrolysis filler; the bottom of the contact oxidation tank is equipped with the second aeration system, the bottom of the biological aerated filter is equipped with the third aeration system, the first aeration system, the second aeration system and the third aeration system The systems are connected by aeration pipes. The invention realizes the collection, purification, storage and reuse of rainwater.

The invention provides a method for establishing an urban green space pest risk evaluation system, which comprises the following steps: quantitating an index layer and calculating the weight values of indexes, wherein the index layer comprises a plurality of specific indexes of a plurality of evaluation factors; calculating the index of a factor layer, wherein the factor layer comprises the plurality of evaluation factors; calculating the index of a program layer, wherein the program layer comprises a plurality of evaluation rules of the plurality of evaluation factors; and calculating the index of a target layer and determining risk levels, wherein the target layer comprises comprehensive risk index of foreign species. The method can recognize, evaluate and process uncertain events caused to urban green space ecological safety by the foreign species imported in an urban greening construction process and evaluate the comprehensive risk aroused by the foreign species.

The invention belongs to technical fields of geographic modeling and urban planning, and specially relates to a quantitative analysis method of an urban greenfield development based on a greenfield growth index. Specific steps of the invention are: 1. establishing an index system, wherein the index system is divided into three hierarchical scales including an area, an urban and a unit greenfield to measure a greenfield increase on different scales. The index system is divided into two parts including a quantity index and a space pattern index to establish an evaluating system to measure the greenfield increase according to a quantity need of the greenfield increase and a change of the greenfield space pattern from various scales. 2. determining a calculating parameter, wherein planning orientation is determined and a threshold is set on prior knowledge and combining industrial and international standards. 3. calculating a result specifically, wherein a space increase of greenfield is measured, counted and described, a process of the greenfield increase is analyzed, and a rule of the greenfield increase is researched through the index system participating into the calculation.

The invention provides an evaluation method and system for the urban three-dimensional green space coverage ratio, a storage medium and a terminal. The method comprises the steps of: acquiring the urban ground greening area, the urban roof greening area, the urban wall body vertical greening area, the urban lawn brick parking greening area, the urban overhead building-below greening area, the urban green land-surrounded water body area and respective conversion coefficients; acquiring the urban land area; calculating the ratio of the accumulated value of the values obtained by multiplying theurban ground greening area, the urban roof greening area, the urban wall body vertical greening area, the urban lawn brick parking greening area, the urban overhead building-below greening area and the urban green land-surrounded water body area by the respective conversion coefficients to the urban land area. The evaluation method and system for the urban three-dimensional green space coverage ratio, the storage medium and the terminal can guide urban ecological planning to lay emphasis on the ecological benefits of three-dimensional green space and allocate three-dimensional green space reasonably.