61 results about "Geoweb" patented technology

The invention discloses a method for subdividing and polymerizing geographic grids based on longitude and latitude, comprising the steps of: 1, subdividing space of the earth surface according to a GeoSOT (geographical coordinates subdividing grid with one dimension integral coding on 2<n>-tree ) grid subdivision manner; 2, giving unique codes to GeoSOT grid facets obtained via the subdivision, wherein the codes of the grid facets keep integral dimensions such as degree, minute and second and can adopt four code forms such as a quaternary one-dimensional code form, a binary one-dimensional code form, a binary two-dimensional code form and a decimal two-dimensional code form; and 3, selecting a specific layer in the GeoSOT grids as a basic tuple, aggregating to form any one geographic grid subdivided on the basis of longitude and latitude, and automatically giving globally unique codes to facets of the aggregated grid. The aggregated grid has uniform subdivision basic tuples, so that the integration organization problem of global space information can be solved hopefully.

The invention discloses a geographic grid-based government affair information resource integration method. The method comprises the steps of performing multilevel geographic grid division; performing spatialization processing of government affair information resources; performing time-space coherence processing of the government affair information resources; and performing information integration of multi-scale geographic grids. By fully utilizing a geographic grid division technology, a grid coding method, a text word segmentation and extraction method and a spatial statistical analysis technology, the fusion of government affair information and space information is realized; deep integration and application of the government affair information resources are performed; and grid analysis of single type of data is upgraded to grid internal integration analysis of government affair information resources of multiple types and multiple scales, so that comprehensive government affair data space distribution, comparison and associative analysis can be carried out in a specified region. The information extraction and resource integration can be quickly realized in regional planning and emergency of governments.

The invention relates to a method of measuring number of people based on geographic grids as well as a method and a system of monitoring crowd situation based on the geographic grids. The method of measuring the number of people based on the geographic grids comprises the following steps of establishing the geographic grids for one area; projecting communication cells (CELL) on the geographic grids, calculating an overlapping area of each cell and each related geographic grid unit, and calculating the proportion of the overlapping area in the area of each CELL; obtaining the current number of mobile communication devices in each CELL, and distributing the number of mobile communication devices in each CELL to each related geographic grid according to the proportion of the overlapping area of each CELL and the corresponding grid in the area of each CELL; and counting the number of people, which is distributed from different CELLs by each geographic grid, to obtain the number of people in each geographic grid unit. A monitoring area is determined, and the crowd situation of the monitoring area is analyzed according to the number of people of each geographic grid. According to the method and the system, the crowd situation, such as crowd density and crowd flow condition, can be effectively monitored.

A variable resolution grid provides a mechanism for focusing specific concentrations of risk exposure on a geographical grid to determine projected loss caused by a particular catastrophe. The geographic grid provides a stable base map by using latitudes and longitudes to define the grid points and cells. Each cell is assigned a geographic identifier or geocode that identifies the location of the cell and its associated resolution. The resolution of the grid may be varied depending in part, on the resolution of any available of hazard data.

The invention provides a global map data storage and organization method and a calling method. The global map data storage and organization method includes the steps of projecting a global map to a global coordinate frame, establishing a global geographic grid frame according to the global coordinate frame, slicing the global map to obtain tile data corresponding to the global map, and packaging and storing the tile data according to the geographic grid frame. The calling method includes the steps of receiving a map displaying request carrying longitude and latitude coordinates and displayinggrades, determining tile packets corresponding to the longitude and latitude coordinates according to the longitude and latitude coordinates and the displaying grades, and obtaining the tile data corresponding to the longitude and latitude coordinates from the tile packets. The complete global map is established by means of the Mercator projection in low-latitude areas and the ortho-axis azimuth projection in high-longitude areas; when the packaged and stored tiles are called, the target tile packets are retrieved from a relatively small number of tile packets, then the target tile data is retrieved from the target tile packets, the time consumed for retrieval is short, and the calling speed and efficiency of mass tiles are improved.

The invention provides a multi-platform joint task planning method for complex observation tasks. The method comprises the steps of preprocessing complex observation tasks and obtaining a plurality ofsubtasks corresponding to the geographic grids; constructing a multi-platform joint task planning model; substituting the plurality of sub-tasks preprocessed in the step 1 into a multi-platform jointtask planning model for solving; depending on solving results, outputting a task sequence of decomposing a complex observation task on each observation platform; according to the method, task preprocessing, optimal modeling, swarm intelligence and machine learning are organically combined, so that complex problems are simplified, experiments show that the multi-platform joint task planning time for complex observation tasks can be shortened to the minute level from the hour level, and the planning efficiency of multi-type observation platforms is effectively improved.

The invention discloses an urban public service facility construction decision-making method influencing population density, and the method comprises the steps: dividing an urban space into square geographic grid units with the same side length; performing unary linear regression analysis among different indexes by combining three parameter indexes, namely the density of interest points of all types, the density of interest points of different function types and the mixing degree of the function types of the interest points, which reflect the current development level of urban public service facilities; and further performing quantile regression analysis on the parameter indexes passing the regression model test, constructing a correlation and an influence process between population distribution data in the geographic grid units and public service facility indexes, and comprehensively judging the influence strength of the public service facilities on regions in different population development stages. According to the method, the public service facility types which should be preferentially built in regions with different population development levels in a city are accurately reflected, so that the population density improvement efficiency is improved, and the use efficiency of public service facility configuration is optimized.

The invention provides a low-orbit satellite Internet of Things channel resource dynamic allocation method based on SDN. In an access matching flow table calculation step, the distance between the sub-satellite point position of each satellite and the geographic grid where a satellite Internet of Things terminal is located is calculated through a ground controller to judge which satellite should be selected by the terminal for access; in a satellite channel resource dynamic allocation step, the QoS grade, the quantity, the minimum access success rate limit and the satellite available resourcesof the access terminal service are calculated through a satellite controller, and the channel resources are dynamically divided; and in an access control assisted random access step, competitive random access is carried out according to the channel resources allocated by the terminal. According to the method, on the basis of an SDN architecture, channel resources are allocated through cooperativeoptimization of the ground controller and the satellite controller, so that the access success rate of high-priority services is maximized and the access performance of services with different priorities is guaranteed while the success rate of accessing channels of services with medium and low priorities is not lower than a specified threshold value.

The invention discloses an error correction method and device for POI positions, relates to the technical field of map processing, and mainly aims to improve the accuracy of POI position error correction. According to the main technical scheme, the method comprises the steps: dividing a preset geographic area into a plurality of geographic grids of different levels layer by layer according to thepreset number of levels; determining a classification label of each geographic grid based on the position information of each geographic grid; establishing a text classification model according to theclassification label of each geographic grid and the text information; determining a target geographic grid corresponding to the POI based on the text classification model and the text information ofthe POI; and performing error correction on the position of the POI based on the target geographic grid.

The invention provides an implementation method and device for vehicle information storage and computer equipment. In an Internet-of-vehicles application scene, target vehicle information of a targetvehicle running in a first geographic grid at a first moment is acquired, a predicted position range which can be reached by the target vehicle at a second moment in the future is obtained according to the target vehicle information corresponding to the first moment and historical acceleration of driving in a target geographic area, thus, credibility verification of a to-be-verified position of the target vehicle obtained at the second moment is realized, and further, a target storage space (a storage space corresponding to the geographic grid at the second moment or a storage space corresponding to the first geographic grid) of the target vehicle information obtained from the first moment to the second moment is determined. Compared with the prior art, the method has the advantages that the target vehicle information reserved in the storage space of the computer equipment is ensured to be real and reliable as much as possible, and the accuracy of road condition judgment based on the vehicle information is further improved.

The invention provides a job and residence place distribution analysis method and device and a readable storage medium, and the method comprises the steps: obtaining a plurality of pieces of access data of a to-be-analyzed region in a preset time period from all platform databases, and recognizing the identity information, access position information and access time information of a user; aggregating the access position information and the access time information on the basis of each user identity identifier to obtain a plurality of access positions and a plurality of access times corresponding to each user identity identifier representing the same user; matching the position point corresponding to each access position to the corresponding geographic grid; and based on a preset working time period, a rest time period, the matched geographical grid distribution map and a plurality of access times corresponding to each user identity identifier, determining a job and residence place of auser corresponding to each user identity identifier in the to-be-analyzed area. Therefore, the diversity and the accuracy of the analysis data can be ensured, and the accuracy of the user occupationaland residential place analysis result is improved.

The described embodiments provide systems and methods for creating real-time or near-time promotions information and marketing databases based-on scalable geographic proximity. The system processes communications from plurality of retailers to draw customers to their physical location based on competitive promotions and product and or service discounts. The system includes multiple “Field Units” which capture geo-coded and time stamped promotions, discounts and marketing data and other data and communications. The data can be retrieved and accessed through a plurality of communications networks for analysis, feedback used for decision making. The Time Expiration Marketing Proximity and Traffic (TEMPT) disseminates information, when potential customers enter into physical promises, to mobile devices in close geographic proximity of one or more locations, including but not limited to indoor and / or outdoor geo-grids. The TEMPT system is customizable to meet the need of an organization's strategic marketing focus designed to increase sales revenue, inventory turns, impulse purchases, customer traffic and other information in one or more targeted geographic campuses. Potential customers can use on / off switch to search or block information.The TEMPT system is capable of disseminating information regarding products, services and other information in order to create a virtual time-based promotional and dynamic informational feed. The mobile device can detect a plurality of nodes and location access points configured to provide a perimeter map of a campus in one or more geographic locations. The TEMPT system can allow customers in close geo-proximity to a campus location or inside campus to receive specific product and / or service information through one or more concentric databases.

The invention discloses a thermodynamic diagram generation method based on a base station coverage area, electronic equipment and a medium. The method comprises the following steps: collecting an equipment ID in a preset time window and equipment position information corresponding to the equipment ID; dividing the specified geography into a plurality of geographic grids, and performing screening processing based on the associated information of any geographic grid to determine a target geographic grid; determining a base station geographic grid corresponding to a target base station according to the target geographic grid; generating a thermodynamic diagram corresponding to the specified geographic area according to the target geographic grid and the base station geographic grid; the method can accurately determine the coverage range of the base station, and facilitates the adjustment of the layout and orientation of the base station according to the coverage range of the base station.

The invention provides a spatial relationship determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a spatial relationship calculation request, wherein the calculation request comprises a polygonal region and a report point set; according to the position relationship between each geographic grid and the polygonal region, determining a plurality of first coding values corresponding to the polygonal region, wherein each geographic grid corresponds to one coding value; determining a plurality of second coding values corresponding to the report point set and a report point group corresponding to each second coding value according to the position relationship between each geographic grid and each report point in the report point set; sorting and matching the plurality of first coding values and the plurality of second coding values to determine a second coding value matched with each first coding value; and determining the relationship between the polygonal region and each report point in the report point set according to the report point group corresponding to the second coding value matched with each first coding value.

The invention relates to an elevated road identification method and device, computer equipment and a storage medium. The method comprises the following steps: positioning according to first wireless signal information in a positioning request to obtain an initial positioning position, screening candidate geographic grids corresponding to the positioning area including the initial positioning position from a navigation fingerprint library,acquiring second wireless signal information of each candidate geographic grid, wherein the second wireless signal information is acquired at a position key point corresponding to the candidate geographic grid, based on wireless signal matching characteristics obtained by matching the second wireless signal information corresponding to each candidate geographic grid with the first wireless signal information, screening out a target geographic grid meeting a matching condition from the candidate geographic grids, and determining a road identification result of the road where the initiator of the positioning request is located according to the elevated attribute information corresponding to each target geographic grid. The method can accurately identify whether the road where the user is located is the elevated upper side road or the elevated lower side road, and can be used for map navigation.

The invention provides an atmospheric pollution feature recognition method and device, and belongs to the field of environmental science. The method comprises the following steps: acquiring spatial distribution data of atmospheric pollution indexes of a set area based on two-dimensional grid storage; a two-dimensional spatial data grid of the set area is constructed, and each first geographic grid in the two-dimensional spatial data grid has a first corresponding relation with a two-dimensional grid of the spatial distribution data; a spatial topological relation data grid is constructed according to the two-dimensional spatial data grid, each second geographic grid in the spatial topological relation data grid has a second corresponding relation with the geographic position identifier of the geographic position, and the second geographic grids are in one-to-one correspondence with the first geographic grids; and according to the spatial distribution data, the two-dimensional spatial data grid and the spatial topological relation data grid, identifying spatial distribution characteristics of the atmospheric pollution indexes of the at least one target area. According to the invention, the identification efficiency can be improved.

The invention provides a power grid geological settlement hidden danger risk prediction method based on machine learning, and the method comprises the steps of determining a power grid geographic region, and dividing the power grid geographic region into geographic grids at preset intervals; obtaining first feature data in the sample geographic grid and performing corresponding processing; inputting the first feature data and the first prediction variable into a training model to obtain a classification prediction model of the power grid geological settlement hidden danger points; inputting the second feature data of the to-be-predicted geographic grid into the power grid geological settlement hidden danger point classification prediction model to obtain a second prediction variable; and if the second prediction variable is 1, determining that the to-be-predicted geographic grid has the power grid geological settlement hidden danger risk point. The invention can effectively solve the problem that the fixed-point monitoring period of a satellite is long, the obtained prediction result can provide auxiliary guidance for each emergency unit to deal with the geological settlement of the power grid, the hidden danger risk point of the geological settlement of the power grid can be found in time, and an emergency processing scheme can be made in advance.

The invention provides a map data calibration method and device and computer equipment, and the method comprises the steps of: acquiring data points on a plurality of lane center lines in different geographic grids and respective endpoint data and other to-be-calibrated map data, then according to a lane driving direction, matching the near-end endpoint data on the lane center lines in two adjacent geographic networks, determining a connection relationship among a plurality of lane center lines in different geographic grids, and for a to-be-calibrated lane center line in the plurality of lane center lines with the connection relationship, and automatically calibrating an original guide line by using a plurality of adjacent data points on the to-be-calibrated lane center line. Therefore, the guide line in the finally obtained target map data is smooth, manual screening of defect map data is not needed, real vehicle testing is not needed, the labor, time and capital cost is greatly reduced, the method is not restricted by an implementation site any more, and the map data calibration efficiency and precision are improved.

The invention relates to the technical field of computers, and discloses a moving target activity heat map generation method based on a geographic grid, which comprises the following steps: 1) establishing a geographic grid space; 2) establishing a storage structure corresponding to the geographic grid space; 3) calculating the effective time weight of the moving target in the geographic grid space; 4) traversing historical track points of the moving target, mapping each track point to positions p and q in the corresponding two-dimensional array A, calculating a weight r of the track point, and accumulating r into A [p] [q], wherein p is a column number and q is a row number; and 5) generating weighted track points, and performing rendering to generate a moving target activity heat map. Under the condition of massive data, the geographic grid space is used for subdividing the geographic coordinate space, the segmentation granularity of the geographic grid space is calculated accordingto the spatial span of the heat image pixel points and the historical track points, the heat map generation speed of the moving target is greatly increased, and the heat map generation operation becomes lookup-and-play.

The embodiment of the invention provides a positioning method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of information. The method comprises the following steps: receiving a positioning request sent by a terminal, analyzing the positioning request to obtain wireless access point information scanned by the terminal and carried in thepositioning request, and determining at least one candidate geographical grid from a plurality of geographical grids in a preset geographical range according to the wireless access point information,and determining neighbor grid fusion features of neighbor geographic grids around each candidate geographic grid, adding the neighbor grid fusion features to the corresponding candidate geographic grids, generating geographic grid features of the candidate geographic grids, sorting all the candidate geographic grids according to the geographic grid features, and determining the position of the terminal according to a sorting result. According to the embodiment of the invention, the neighbor grid fusion feature of the neighbor geographic grid is added into the candidate geographic grid, so that the result of determining the position of the terminal from the candidate geographic grid is more accurate.

The invention discloses an Information processing method and device for geographic grid, an apparatus, and areadable storage medium, and relates to the technical field of maps. A first designated target point and a second designated target point may be extracted from the business area data and the target point data, Combined with the first designated target point and the second designated targetpoint, the name of standby name business circle is generated, which not only indicates the geographical position of standby name business circle, but also reflects the characteristics of business circle and target point, and the description of naming business circle is clear. The method comprises the following steps: obtaining the business circle data of the target point in the target grid area and generating the business circle weight; Acquiring target point data of the target point and generating target point weights; Extracting a designated business circle weight from the business circle weights, extracting a designated target point weight from the target point weights, and obtaining a first designated target point and a second designated target point; Obtaining the business circle name, obtaining the target point name, and combining the business circle name and the target point name to generate the name of the standby business circle.

The invention discloses a test method and device of an order scheduling system, a storage medium and computer equipment, and relates to the technical field of system test. The method comprises the steps: acquiring scheduling state data in a preset time interval, wherein the scheduling state data comprise deliveryman data, order data and geographic grid data; performing coordinate offset on coordinate data in the scheduling state data, and performing identification conversion on identification data in the scheduling state data to obtain virtual scheduling state data; and in response to the test instruction, calling the virtual scheduling state data by using the virtual scheduler to perform a pressure test to obtain a test result of the order scheduling system. According to the method, the efficiency of constructing the test data is improved, the constructed test data and the real data have a mapping relation, the test data has certain data query capability, the simulation capability of the data is enhanced, meanwhile, interference to online users in the test process is also avoided, and in addition, the problem of pressure measurement distortion of a local area is solved.

Embodiments described herein provide a system for facilitating hierarchical geographic naming. During operation, the system receives a service request comprising location information associated with a requesting device and determines a hierarchical name corresponding to the location information. The hierarchical name can include a plurality of name segments. A respective name segment of the plurality of name segments can correspond to a recursively subdivided grid of geographic grid referencing. The system then performs a recursive search using the hierarchical name for a service requested by the service request.

The invention discloses a grid system and method based on longitude and latitude address geographic positions. The system comprises a BDS / GPS / CAPS receiving and analyzing device, a keyboard, a scanning reader, a grid calculation device, a display screen and a printer, the BDS / GPS / CAPS receiving and analyzing device is used for receiving and analyzing geographic position longitude and latitude information, which is accurate to meter level, of a certain appointed point; the keyboard is used for inputting accurate geographic position longitude and latitude information of a certain designated point; or inputting a geographic position name and analyzing the geographic position name into accurate geographic position longitude and latitude information; the grid calculating device calculates the longitude and latitude information of the accurate geographic position of the designated point; converting into a unique grid code of the specified point; the grid codes are 34-bit codes formed by mixing English letters and numbers; wherein 25 bits before grid coding uniquely map a geographic grid at a longitude and latitude position of a certain specified point, the grid is about 1 m < 2 > close to the equator, 9 bits after coding represent 999, 999 and 999 sequential coding addresses of the grid in the table, a display screen displays the grid coding, and a printer prints a grid certificate.

The invention provides a remote sensing inversion method and system for the water meter salinity of an estuary region based on satellite-ground collaboration, on one hand, high-precision ground actual measurement data of the estuary region are utilized, synchronous ground actual measurement site actual measurement data serve as output data to construct a model, and the inversion precision of the remote sensing inversion model is improved; on the other hand, the situation that a traditional remote sensing inversion model inverts the water meter salinity only through spectral information or indirect water quality parameters is improved, geographic grid information is added to serve as input parameters, and the longitude and latitude information of a ground actual measurement site and a remote sensing image and the data characteristic of spatial continuity of the remote sensing image are fully utilized; and the method and system are especially suitable for realizing high-precision inversion of the salinity of the water meter in the complex estuary region.

The invention discloses a grid system and method based on an address geographic position. The grid system comprises a BDS / GPS / CAPS receiving and analyzing device, a keyboard, a scanning reader, a gridcomputing device, a display screen and a printer; the BDS / GPS / CAPS receiving and analyzing device is used for receiving and analyzing geographic position longitude and latitude information, which isaccurate to meter level, of a certain appointed point; the keyboard is used for inputting accurate geographic position longitude and latitude information of a certain designated point, or inputting ageographic position name and analyzing the geographic position name into accurate geographic position longitude and latitude information; the grid computing device is used for converting an accurate geographic position of a specified point into a unique grid code of the specified point, the grid codes are 25-bit codes formed by mixing English letters and numbers, the first 20 bits of the grid codes uniquely map a geographic grid of 1 m < 2 > at a longitude and latitude position of a certain specified point, the last nine bits of the grid codes represent 999, 999 and 999 sequential code addresses possessed by the grid of the table, the display screen displays the grid codes, and the printer prints a grid certificate.

The invention discloses a decision-making method for the construction of urban public service facilities that affects population density. The urban space is divided into square geographic grid units with the same side length. On the basis of the urban population spatial distribution data, all types of interest point densities, different The density of interest points of functional type and the mixing degree of functional types of interest points are three parameter indicators that reflect the current development level of urban public service facilities, and a linear regression analysis between different indicators is carried out; the parameter indicators that pass the regression model test are further quantified Regression analysis, constructing the correlation and influence process between the population distribution data in the geographic grid unit and the public service facility indicators, and comprehensively judging the impact of public service facilities on regions with different population development stages. This method accurately reflects the types of public service facilities that should be prioritized in cities at different levels of population development, so as to improve the efficiency of population density and optimize the use efficiency of public service facilities.