33 results about "Urban forest" patented technology

The invention relates to the field of global satellite positioning and navigation, in particular to a satellite searching and dispatching method for a global positioning system (GPS); the method comprises three parts: a classifying satellite possibility dispatching method which comprises the steps as follows: the state of the satellite is judged by the obtained satellite information; each satellite is classified by the satellite state, thus presuming the searching scene further; according to the satellite classes and the searching scenes, different searching weights are arranged for each satellite so as to carry out the searching; a maintaining re-catching method for continuously searching the blocked satellites and a self-adaptive sensitiveness catching method which uses the catching methods of different sensitiveness by aiming at the satellites of different signal-noise-ratio. When the three methods are smartly used, the successful possibility of searching satellite is greatly improved, the time used for searching the satellite is reduced, the starting and positioning speed and the re-catching positioning precision are greatly improved, the power dissipation is reduced, and the problems of robustness and reliability in the satellite dispatching arithmetic are solved, thus improving the feasibility of the receiving machines in the urban forests where the blocking is severe, and greatly improving the experience of the user.

The invention discloses a configuration method for an urban forest. The configuration method comprises the following steps of (a) selecting shrubs, arbors and herbaceous plants; (b) planting the shrubs and the arbors for configuring a first area comprising the shrubs and the arbors; (c) planting the herbaceous plants, the shrubs and the arbors for configuring a second area comprising the herbaceous plants, the shrubs and the arbors, wherein the first area is arranged close to a carriageway of an urban road, the second area is arranged at the same side of the carriageway in the first area and is away from the carriageway relative to the first area, and the first area and the second area are separated by a sidewalk of the urban road; configuring the shrubs and the arbors in the first area in a mutual spacing way; sequentially configuring the herbaceous plants, the shrubs and the arbors in the second area in the direction away from the sidewalk, wherein the shrubs and the arbors in the second area are respectively configured into at least two rows.

Novel tools and techniques for management of urban forestry projects. Some tools feature the integration of forestry tools and business intelligence techniques to provide enhanced insight into urban forestry projects and / or can incorporate data from a wide variety of data sources without the need for complex data transformation processes. In an aspect, some tools to enable urban forest project owners to capitalize on project offset credits as a revenue source. In another aspect, such tools can provide a variety of different analyses, from canopy analyses to tree health analysis, to work order generation, to carbon offset calculations, including the calculation of carbon offsets using accepted standards, to allow a project owner to quickly and easily establish the amount of offsets to which the project is entitled.

The invention provides an urban forest garden building and an architectural complex. The urban forest garden building comprises odd floors, even floors and external architectural wall facades. Each outer wall facade corresponding to a house type on an odd floor is provided with an outdoor aerial afforesting platform up two floors high. Each external wall facade corresponding to a house type on an even floor is provided with an outdoor aerial afforesting platform up two floors high. House types on even floors correspondingly vertical to those on odd floors are provided with outdoor aerial afforesting platforms set in a staggered way or in different directions. Upper-floor wall facades corresponding to outdoor aerial afforesting platforms on an odd floor and on an even floor are each provided with a downward mouth of a window. An outer windowsill plate for blocking down view is arranged on each downward mouth for the purpose of privacy of the corresponding outdoor aerial afforesting platform is increased.

The invention provides an allocation method of a belt-shaped three-dimensional mixed noise reducing type urban forest. The method comprises the following steps: (1) selecting plants; (2) planting a row of first arbors in the outer side of a roadway along the roadway direction, and densely planting dwarf shrubs around the first arbors to form a first allocation area; (3) sequentially outwards planting rows of tall shrubs, second arbors and second herbaceous plants in the outer side of the first allocation area to form a second allocation area, wherein the second allocation area and the first allocation area are separated through a sidewalk; (4) enabling the width sum of the second allocation area and the first allocation area to be 30 to 35m, and length to be not less than that of a noise sensitive target along the roadway direction. According to the allocation method of the belt-shaped three-dimensional mixed noise reducing type urban forest, proper arbors, shrubs and herbaceous plants are selected and allocated to form a mixed forest zone with a certain width in the side of the roadway, and therefore, the noise can be repeatedly absorbed and reduced at a plurality of times during being transmitted in the space, and as a result, the purpose of noise reducing can be reached, the noise can be reduced by 28.3%.

The invention provides a garden building in an urban forest and a building group. The garden building in the urban forest comprises two house types in each odd-numbered floor including a first house type and a second house type. A first private garden court in an odd-number floor corresponding to each first house type is arranged in a first direction. A second private garden court in an odd-number floor corresponding to each second house type is arranged in a second direction. Two house types are arranged in each even-numbered floor including a third house type and a fourth house type. A first private garden court in an each even-numbered floor corresponding to each third house type is arranged in a third direction. A second private garden court in an each even-numbered floor corresponding to each fourth house type is arranged in a fourth direction. External walls of upper floors on right sides corresponding to each first private garden court in each odd-numbered floor, each second private garden court in each odd-numbered floor, each first each even-numbered floor and each second private garden court in each even-numbered floor are provided with high windows or lateral windows in order to improve privacy.

The invention discloses a plant configuration mode screening method with strong dust retention ability of urban forest, which comprises the following steps: according to different air pollution degree, dividing sample plots, respectively selecting landscape plant configuration as analysis object in each plot; Collecting the leaves of each plant configuration respectively; measuring PM (10), PM (2.5) adsorption capacity per unit leaf area of each plant;. Determining the dust retention per unit leaf area of each plant; establishing a comprehensive evaluation index system based on dust retentioncapacity, forest landscape, environmental adaptability and growth characteristics to sort the dust retention capacity of plants in different plots. Wherein the evaluation index of dust retention capacity is The adsorption capacity of PM (10), PM (2.5) and dust retention capacity of unit leaf area were measured by step S3-S_4. A multi-level comprehensive evaluation index system was established according to the different pollution degree of the sample plots, and the dust retention ability of the tested plants was sorted by using the regional and analytic hierarchy process (AHP). The evaluation results were highly reliable and pertinent, which provided guidance for urban forest construction and air pollution prevention and control.

The invention relates to an urban forest self-help charging system, comprising a tree-shaped main machine (1), an automobile charging post (2) and roadside charging posts (3), wherein the tree-shaped main machine (1) is arranged at a position with better illumination in designated area and entrance of an automobile park, the roadside charging posts (3) are arranged at the roadside in a dispersing way, the automobile charging post (2) is arranged on a parking space, and the tree-shaped main machine (1) is externally connected with a main power supply and is connected with each roadside charging post (3) and the automobile charging post (2) by virtue of cables. The equipment provided by the invention has beautiful appearance, is marked clearly and is easy to search, has the function of being capable of charging an electric automobile, an electric bicycle and a small handheld electronic device, can comprehensively utilize solar energy and electric energy as energy sources and is energy-saving and environmentally-friendly.

The invention provides an air quality monitoring method in urban forest environment. According to the method, an air quality monitoring station is built; an air quality monitoring system in the air quality monitoring station is controlled to perform air particle concentration monitoring and gas contaminant monitoring on the target urban forest environment; a monitoring result is output; the air quality monitoring station is subjected to daily maintenance; data analysis and data maintenance are performed in time on the monitoring result. The method provided by the invention has the advantages that the air quality in the urban forest environment is accurately and effectively monitored in a complete and systematical manner; the reliability and the accuracy of the study of the plants in the urban forest environment in an aspect of air environment purification can be improved; meanwhile, first hand data is provided for the plant environment effect propagandism in the urban forest park; reference basis and data support are provided for air environment purification by urban forest.

The invention discloses a method for preprocessing observed quantity of a global positioning system (GPS) receiver, comprising the following steps: the receiver latches and stores the observed quantity when the measuring sub-time slot signal comes; the receiver filters the latched and the stored observed quantity when the resolving time slot signal comes; and the receiver obtains the final observed value for resolving the receiver position. On the basis of slightly increasing the whole calculated quantity, the invention can effectively improve the positioning accuracy, simultaneously cope with such complex environment as urban forests and greatly reduce the probability of occurrence of positioning error points.

The invention discloses a high-resolution remote sensing data and ground data collaborative town forest monitoring method. The method comprises the following steps: step 1, data acquisition and preprocessing; step 2, constructing an urban forest sample label library; step 3, training and collaborative optimization of an urban forest distribution recognition model based on deep learning; step 4, identifying town forest images; and 5, verifying the ground precision of the urban forest identification result. The method has the advantages that (1) the recognition rate of the method is higher than that of a traditional method for the urban forest area with the high crushing degree; and (2) aiming at a domestic Gaofen-2 satellite image, a cooperative monitoring method of ground observation data in the whole process of sample making, urban forest coverage distribution identification and precision inspection is provided, and the monitoring precision of the urban forest is effectively improved through cooperative use of the ground observation data. And (3) the method can provide efficient and credible technical means support for related industry departments in the field of natural resources to carry out investigation and monitoring work of urban forest resources.

The invention discloses a laser radar point cloud power line classification method based on normal random sampling distribution, and the method comprises the following steps: (1) carrying out the preprocessing of original point cloud data, building a digital terrain model, and carrying out the rough extraction of power line candidate points through employing elevation filtering; (2) for the roughly extracted power line candidate point data, further optimizing and extracting power line candidate points in a three-dimensional space based on a normal distribution transformation algorithm; and (3)aiming at the optimized and extracted power line candidate point data, realizing accurate extraction of the power line points in a two-dimensional space by adopting a random sampling consistency algorithm principle. With the method of the invention adopted, power line classification can be realized in laser radar point cloud data of various complex environments such as an urban forest region; andan accurate power line extraction result is provided, so that the point cloud data classification efficiency is greatly improved, a new idea is provided for classification of various point cloud data, and accurate and comprehensive analysis data is provided for work such as power line inspection and the like.

The invention relates to a system for self-protection against forest fires, especially for the protection of urban communities (1) close to forest areas (2), which comprises creating a protective area (3) around the urban community (1) to be protected and assembling in said area a hydraulic water supply system (4) capable of covering at least the protective area.

The invention discloses an urban forest tree preferential planting area selection method and system. The method comprises the steps of obtaining an urban vector layer and dividing the urban vector layer into a plurality of area units; inputting unit population, road area and real forest crown coverage area data of each region to obtain unit population density, road density and real forest crown coverage vector data of each region; performing normalization processing and format conversion to obtain a normalization population density grid layer, a normalization road density grid layer and a normalization real forest tree crown coverage rate grid layer; calculating the priority of each grid unit to obtain a priority PI grid layer; performing priority level division, drawing a PI priority level distribution grid layer, and regarding the region unit with the higher priority level as a region where trees need to be preferentially planted. The method can visually and accurately reflect the demand degree of different regional spaces of a city for urban forest construction, and provides a reliable decision basis for preferential site selection of an urban space forest planting region.

The invention discloses a laser radar point cloud power line classification method based on normal distribution and clustering, and the method comprises the following steps: (1) carrying out the preprocessing of original point cloud data, building a digital terrain model, and carrying out the rough extraction of power line candidate points through employing elevation filtering; (2) for the roughlyextracted power line candidate point data, further optimizing and extracting power line candidate points in a three-dimensional space based on a normal distribution transformation algorithm; and (3)for the optimized and extracted power line candidate point data, realizing accurate extraction of the power line points by using a mean value clustering algorithm. According to the invention, power line classification can be realized in laser radar point cloud data in various complex environments such as an urban forest area and the like, an accurate power line extraction result is provided, the point cloud data classification efficiency is greatly improved, a new idea is provided for classification of various point cloud data, and accurate and comprehensive analysis data is provided for worksuch as power line inspection and the like.

The invention discloses an air quality monitoring method in an urban forest environment. The air quality monitoring method in the urban forest environment includes the following steps that S1, a sensor group is arranged in a target urban forest environment through a tree climbing robot; S2, air particulate matter concentration parameters and gaseous pollutant concentration parameters in the targeturban forest environment are collected based on the sensor group, and the parameters are transmitted to a monitoring terminal through a Beidou module; S3, the present air quality is evaluated by themonitoring terminal based on a preset BP neural network model; and S4, recycle of the sensor group is realized through the tree climbing robot. According to the air quality monitoring method in the urban forest environment, arrangement and the recycle of the sensor group are conducted by the tree climbing robot, using is convenient, meanwhile, flexibility is high, and accuracy of monitoring results is improved greatly.

The invention discloses an urban forest health-care configuration method which comprises the following steps: (1) dividing five planting fields in a city, and respectively planting fungus plants, medicinal flowers, deciduous trees and shrubs, vines and evergreen trees and shrubs in the five planting fields; (2) arranging environment detection sensors used for monitoring environment parameters at the corresponding five planting places respectively; and (3) receiving data sensed by the environment detection sensors through a control center, transmitting the data to a background management platform, and dynamically tracking the five planting fields according to the received data. The plant species are reasonably configured, the environmental condition is improved, the environmental parametersare monitored in real time, the environmental parameter conditions can be known remotely in real time, the forest ecological health care research is facilitated, the plant species can be mutually utilized, the fertilizer source for planting is used, and the planting cost is greatly reduced.

The invention discloses an air quality monitoring method in an urban forest environment, which includes the following steps: S1, arrange a sensor group by a tree-climbing robot in a target urban forest environment; Collect air particulate matter concentration parameters and gas pollutant concentration parameters in the forest environment, and send the parameters to the monitoring terminal through the Beidou module; S3, the monitoring terminal evaluates the current air quality based on the preset BP neural network model; S4. Realize the recovery of the sensor group by the tree-climbing robot. The invention arranges and recovers the sensors through the crawling robot, is convenient to use, has high flexibility, and greatly improves the accuracy of monitoring results.

The invention discloses a method for pruning and breeding tree cuttage cuttings. In the conventional cuttage propagation of timber forest and urban forest, uperior tree selection and the age and the collection position of maternal branches of the cuttings are not focused so that the cuttage survival rate and the growth amount of the forest are severely affected. In the method, longitudinal heavy pruning is carried out on the plants of the timber forest and the urban forest from the later period of young age to the early period of middle age, the plants are cultivated for 1-2 years, and then coppice shoots under a crown are taken as the cuttings, thus improving the cuttage survival rate and the growth amount of the forest, and achieving obvious economic benefit.

The invention provides a garden building in an urban forest and a building group. The garden building in the urban forest comprises two house types in each odd-numbered floor including a first house type and a second house type. A first private garden court in an odd-number floor corresponding to each first house type is arranged in a first direction. A second private garden court in an odd-number floor corresponding to each second house type is arranged in a second direction. Two house types are arranged in each even-numbered floor including a third house type and a fourth house type. A first private garden court in an each even-numbered floor corresponding to each third house type is arranged in a third direction. A second private garden court in an each even-numbered floor corresponding to each fourth house type is arranged in a fourth direction. External walls of upper floors on right sides corresponding to each first private garden court in each odd-numbered floor, each second private garden court in each odd-numbered floor, each first each even-numbered floor and each second private garden court in each even-numbered floor are provided with high windows or lateral windows in order to improve privacy.

The invention relates to the field of global satellite positioning and navigation, in particular to a satellite searching and dispatching method for a global positioning system (GPS); the method comprises three parts: a classifying satellite possibility dispatching method which comprises the steps as follows: the state of the satellite is judged by the obtained satellite information; each satellite is classified by the satellite state, thus presuming the searching scene further; according to the satellite classes and the searching scenes, different searching weights are arranged for each satellite so as to carry out the searching; a maintaining re-catching method for continuously searching the blocked satellites and a self-adaptive sensitiveness catching method which uses the catching methods of different sensitiveness by aiming at the satellites of different signal-noise-ratio. When the three methods are smartly used, the successful possibility of searching satellite is greatly improved, the time used for searching the satellite is reduced, the starting and positioning speed and the re-catching positioning precision are greatly improved, the power dissipation is reduced, and the problems of robustness and reliability in the satellite dispatching arithmetic are solved, thus improving the feasibility of the receiving machines in the urban forests where the blocking is severe, and greatly improving the experience of the user.

The invention discloses a laser radar point cloud power line classification method based on normal random sampling distribution. Extraction; (2) For the roughly extracted power line candidate point data, based on the normal distribution transformation algorithm, the further optimized extraction of power line candidate points in three-dimensional space is realized; (3) For the optimized power line candidate point data, random sampling is adopted Based on the principle of linear algorithm, the precise extraction of power line points can be realized in two-dimensional space. The method of the present invention can realize power line classification in laser radar point cloud data in various complex environments such as urban forest areas, and provide accurate power line extraction results, which greatly improves the classification efficiency of point cloud data and provides a variety of point cloud data Classification provides new ideas and provides accurate and comprehensive analysis data for power line inspection and other work.

The invention discloses an urban green land fine management model, which is a three-layer management model based on real-time data obtained by a coupling monitoring system, and comprises a model equipment bottom layer for developing software and hardware facilities in an ecological toughness intelligent interconnection system; the model middle layer is used for establishing an urban forest green land ecological database; and the model management application layer is provided with a server which interacts with the urban forest green land ecological database and realizes quantitative monitoring on the toughness of the urban forest green land ecological system. Under the action of the coupled monitoring system, the system is matched with a computer technology, a data transmission technology, an internet technology and a control technology, the fine management level of urban greening is greatly improved, the urban greening management efficiency is improved, the management cost is reduced, the management quality is improved, automation and intelligentization of urban greening are facilitated. The system is suitable for popularization and application. The ecological toughness balance of urban landscaping is ensured.

The invention discloses a laser radar point cloud power line classification method based on normal distribution and clustering, which includes the following steps: (1) preprocessing the original point cloud data, establishing a digital terrain model, and using elevation filtering to perform power line candidate points Rough extraction; (2) For the roughly extracted data of power line candidate points, based on the normal distribution transformation algorithm, the further optimized extraction of power line candidate points in three-dimensional space is realized; (3) For the optimally extracted power line candidate point data, the average Class algorithm realizes the precise extraction of power line points. The present invention can realize power line classification in laser radar point cloud data in various complex environments such as urban forest areas, and provide accurate power line extraction results, greatly improving the efficiency of point cloud data classification, and providing a variety of point cloud data classification. The new idea provides accurate and comprehensive analysis data for power line inspection and other work.

The invention discloses an urban forest individual tree crown detection method combining RGB-DSM images and deep learning, and belongs to the field of target detection. According to the urban forest individual tree crown detection method combining two images and deep learning, a model firstly combines elevation information and color information to carry out individual tree crown target detection, and then a new detection result is formed through further confidence coefficient resetting and redundancy elimination. Therefore, the performance of an urban forest single tree crown detection task is improved. Compared with a deep learning network trained only by using an orthophoto map or a digital surface model, the method provided by the invention has an obvious precision advantage.

The invention provides a high-rise villa with a big data management system. The big data management system is positioned in a high-rise villa building; and the management system comprises a data acquiring module, a data integrating module and a data analyzing module, wherein the data analyzing module and a remote big data center realize data transmission through a network. The high-rise villa comprises a lower-layer outdoor garden yard and an upper-layer outdoor garden yard. In main rooms of each house type of urban forest high-rise villa buildings, for example, living rooms and main bedrooms,outdoor garden yard is not arranged outdoors of upper and lower floors vertically corresponding to windows of the high-rise villa to achieve direct lighting of the main rooms.

The invention provides a method for weeding an urban forest. The method comprises a step (1) of loosening soil, manually loosening oil within a range of 5-10 cm around each tree each month in summer and autumn each year, causing the soil loosening depth to be 5-10 cm, and stacking the peripheries of trees into round tree pits; a step (2) of spraying pesticides, and spraying chlortoluron wettable powder with a ratio of 15% into loosened soil, wherein 10-20 g of chlortoluron wettable powder is sprayed around the tree pits of each tree; a step (3) of performing weeding, manually performing intertillage and weeding around the trees, applying 5-10 g of oxyfluorfen and pndimethalin around the tree pits of the trees, wherein the compound mass ratio of oxyfluorfen and pndimethalin is 1:10 to 2:1; a step (4) of performing trimming, flattening the peripheries of the tree pits after the weeding, clearing weeds around the tree pits, and making the boundary between a lawn around the trees and the edgesof the tree pits clear. According to the method for weeding the urban forest, alternate growth of the weeds around the trees and the lawn is controlled, and an urban greening beautifying effect is improved.