CN117435823B

CN117435823B - Space-time data service method based on grid coding and industrial Internet platform

Info

Publication number: CN117435823B
Application number: CN202311751868.0A
Authority: CN
Inventors: 吴学军; 董锦华; 马杰; 周勇潮; 刘锐; 齐璐; 汪义盟
Original assignee: Beijing Zhiwangyilian Technology Co ltd
Current assignee: Beijing Zhiwangyilian Technology Co ltd
Priority date: 2023-12-19
Filing date: 2023-12-19
Publication date: 2024-03-29
Anticipated expiration: 2043-12-19
Also published as: CN117435823A

Abstract

The invention relates to the field of data service, in particular to a space-time data service method based on grid coding and an industrial Internet platform, wherein the method comprises the following steps: performing space subdivision on a preset geographic space range to obtain a plurality of space blocks, and encoding each space block and associated data thereof to obtain grid codes, wherein the grid codes comprise grid identifiers; establishing an index table according to the grid code of each space block and the position information of the space block in a preset geographic space range, and establishing an information table according to the grid identifier of each space block and the associated data; responding to the query information of the user, and determining at least one target space block of a preset geographic space range according to the query information and an index table; and inquiring corresponding associated data in the information table for each target space block, and taking the associated data of at least one target space block as an inquiring result. The invention can greatly reduce the difficulty of data query, reduce the workload of data query and improve the efficiency of data query.

Description

Space-time data service method based on grid coding and industrial Internet platform

Technical Field

The invention relates to the field of data service, in particular to a space-time data service method based on grid coding and an industrial Internet platform.

Background

In order to provide better and more convenient space information basic service for various applications under the condition of big data and improve the organization, processing, analysis, transmission and application efficiency of the geospatial position data, a Beidou grid position code is developed at present, is a grid position code suitable for the output of various application terminals of a Beidou satellite navigation system, is suitable for the positioning precision of the Beidou system (including an enhancement system) in design, simultaneously gives consideration to the use of people and equipment, and is an important supplement and expansion of a longitude and latitude point position coding system.

In the prior art, various data such as traffic flow data, weather feature data, population data, public construction data, etc. are generally included for a certain region. These data are of different sources and formats, and existing retrieval methods are typically used to query for data of a certain attribute. When certain data of a certain geographic position needs to be searched, the data needs to be queried respectively, and then analysis and integration are performed to obtain a final query result, so that the query efficiency is low.

For this reason, a new space-time data service method based on grid coding and an industrial internet platform are needed.

Disclosure of Invention

To this end, the present invention provides a space-time data service method based on trellis encoding in an attempt to solve or at least alleviate the above-presented problems.

According to a first aspect of the present invention, there is provided a space-time data service method based on trellis encoding, operating in a computing device, the method comprising: performing space subdivision on a preset geographic space range to obtain a plurality of space blocks, and encoding each space block and associated data thereof to obtain grid codes, wherein the grid codes comprise grid identifiers; establishing an index table according to the grid code of each space block and the position information of the space block in a preset geographic space range, and establishing an information table according to the grid identifier of each space block and the associated data; responding to the query information of the user, and determining at least one target space block of a preset geographic space range according to the query information and an index table; and inquiring corresponding associated data in the information table for each target space block, and taking the associated data of at least one target space block as an inquiring result.

Optionally, in the method according to the present invention, performing spatial subdivision on the preset geospatial range to obtain a plurality of spatial blocks includes: setting a two-dimensional grid or a three-dimensional grid for a preset geographic space range according to a preset step length, and dividing the preset geographic space range to obtain an earth surface grid unit or an earth three-dimensional grid unit; the earth surface grid cell or the earth stereoscopic grid cell is used as a space block.

Optionally, in the method according to the present invention, further comprising: acquiring data of a plurality of data sources; sorting the data according to the position information of each data to obtain data about each position information; and determining one or more pieces of position information included in each space block, and taking data corresponding to the position information included in each space block as associated data of each space block.

Optionally, in the method according to the invention, the query information comprises one or more of text, images and video.

Optionally, in the method according to the present invention, the query information includes image query information, and determining at least one target spatial block of the preset geospatial range according to the query information and the index table includes: determining an image observation point and an image observation range according to the image query information; at least one space block included in the image observation range under the image observation point in the preset geographic space range is determined and used as a target space block.

Optionally, in the method according to the present invention, querying the information table for corresponding association data for each target space block, and including, as a query result, association data of at least one target space block: inquiring in an information table according to the grid identifiers of the target space blocks, and determining the image data of each target space block; target image data under the image observation point is generated from the image data of each target spatial block.

Optionally, in the method according to the present invention, generating target image data under the image observation point from the image data of each target spatial block includes: according to the observation space block where the image observation point is located, grid shielding analysis is carried out on the observation space block and at least one target space block; judging whether a target space block in an image observation range is visible or not under an image observation point according to a grid shielding analysis result; target image data is generated according to the visual condition of the target space block in the image observation range.

Optionally, in the method according to the present invention, the grid coding further includes grid attribute data, the query information includes a query condition, and determining at least one target space block of the preset geospatial range according to the query information and the index table includes: determining one or more keywords included in the query condition; and inquiring the grid attribute data of the grid codes in the index table according to one or more keywords, and taking the space block corresponding to the grid attribute data of the keywords and belonging to the grid codes as a target space block.

Optionally, in the method according to the present invention, the query information includes a query area, the query area includes one or more query partitions, and determining at least one target space block of the preset geospatial range according to the query information and the index table includes: determining space blocks included in one or more query partitions within a preset geographic space range; and performing superposition analysis on the space blocks included in the one or more query partitions, determining a union set of the space blocks included in the one or more query partitions, and taking the space blocks included in the union set as target space blocks.

Optionally, in the method according to the invention, the data of the data source comprises GIS map data, video data, oblique photography data, signalling/positioning data, laser point cloud data, man-house data, weather marine data and public thematic data.

According to a second aspect of the present invention, there is provided an industrial internet platform comprising: the data resource layer is suitable for acquiring various data, and the acquired data all have corresponding position information; the coding layer is suitable for mapping the acquired data to corresponding space blocks according to the position information to serve as associated data of the space blocks, coding each space block and the associated data of the space blocks to obtain grid codes of each space block, wherein the grid codes comprise grid identifiers and grid attribute data, and the space blocks are obtained by carrying out space subdivision on a preset geographical space range; the index layer is suitable for establishing an index table according to the grid coding of the space blocks and the position information of each space block in a preset geographic space range, and establishing an information table according to the grid identifier of each space block and the associated data; the service layer is suitable for providing a query interface for a user to receive query information of the user; and the engine layer is suitable for determining at least one target space block of a preset geographic space range according to the query information and the index table, querying corresponding associated data in the information table for each target space block, and taking the associated data of at least one target space block as a query result.

According to a third aspect of the present invention there is provided a computing device comprising: one or more processors; a memory; one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the grid-based encoded spatiotemporal data service method according to the invention.

According to a fourth aspect of the present invention, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a space-time data service method based on trellis encoding according to the present invention.

The method comprises the steps of obtaining a plurality of space blocks by carrying out space subdivision in a preset geographical space range, and carrying out grid coding on multi-source data according to each space block according to the position information of the space blocks. And then, when the query is carried out, the target space block can be rapidly determined only by using an index table comprising grid codes to query, and then the related data is queried according to the grid identifier of the target space block. According to the scheme of the invention, on one hand, multi-source data are integrated together from the dimension of the position information of the data, and gridding management is carried out; on the other hand, the data retrieval is reduced to the one-dimensional grid identifier, so that the data query difficulty is greatly reduced, the data query workload is reduced, the workload of the data or query server is reduced, and the data query efficiency is improved.

Drawings

To the accomplishment of the foregoing and related ends, certain illustrative aspects are described herein in connection with the following description and the annexed drawings, which set forth the various ways in which the principles disclosed herein may be practiced, and all aspects and equivalents thereof are intended to fall within the scope of the claimed subject matter. The above and other objects, features and advantages of the present disclosure will become more apparent from the following detailed description when read in conjunction with the accompanying drawings. Like reference numerals generally refer to like parts or elements throughout the present disclosure.

FIG. 1 illustrates a schematic diagram of an industrial Internet platform according to an exemplary embodiment of the invention;

FIG. 2 illustrates a block diagram of a computing device 200 according to an exemplary embodiment of the invention;

FIG. 3 shows a flow diagram of a space-time data service method 300 based on trellis encoding, according to an exemplary embodiment of the invention;

fig. 4 shows a functional schematic of a data service engine system according to an exemplary embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. Like reference numerals generally refer to like parts or elements.

Fig. 1 shows a schematic diagram of an industrial internet platform according to an exemplary embodiment of the invention.

As shown in fig. 1, the industrial internet platform includes a data resource layer, an encoding layer, an indexing layer, an engine layer, and a service layer. According to one embodiment of the invention, the industrial Internet platform can be specifically realized as a platform for providing a three-dimensional grid data graph system and space-time cloud service based on grid coding. The industrial Internet platform is oriented to the requirements of digitization, networking and intellectualization of manufacturing industry, mass data collection and convergence are realized based on a data resource layer, an analysis service system is provided based on a coding layer, an index layer and an engine layer, and various services based on grid coding are provided through a service layer.

According to one embodiment of the invention, the data resource layer is used for acquiring various types of data. The data resource layer can acquire various data by accessing a third party database, and takes the database such as the third party database as a data source, wherein the data comprises GIS map data, video data, remote sensing image data, sensor data, oblique photography data, signaling/positioning data, laser point cloud data, human room data, weather marine data, public thematic data and the like. These data each have corresponding location information, which may be represented using longitude, latitude, and altitude. For example, sensor data characterizing the geographic location of A, the location information of which is A. For another example, the remote sensing image data representing the geographic location of B is B.

According to one embodiment of the invention, the coding layer maps the data acquired by the data resource layer to corresponding space blocks respectively according to the position information, uses the data as associated data of the corresponding space blocks, and codes each space block and the associated data thereof to obtain grid codes. In some embodiments, the spatial block is obtained by performing spatial subdivision with respect to a preset geospatial range. For example, according to a certain dividing step, the preset geographic space range is uniformly divided into a plurality of three-dimensional space grids, and then the space blocks are obtained. The preset geospatial range can be set according to a service scene, and can be global or a certain area. The dividing step length can be set according to the precision requirement, the longitude and latitude heights in the preset geographic space range can be divided by taking the degree as a unit, and finer granularity can be divided by taking minutes and seconds as a unit, so that the invention does not limit the dividing step length excessively.

According to one embodiment of the invention, when dividing the preset geospatial range in the above manner, setting a two-dimensional grid or a three-dimensional grid for the preset geospatial range according to a preset step length, and dividing the preset geospatial range to obtain an earth surface grid unit or an earth stereoscopic grid unit; the earth surface grid cell or the earth stereoscopic grid cell is used as a space block. Therefore, each space block occupies a certain space in the preset geographical space range, and the geographical position included in the occupied space is the position information included in each space block.

In some embodiments, the coding layer may be embodied as a data-referencing coding system that includes a data-referencing tool, a conversion tool, and a coding tool.

When the associated data of each space block is determined, acquiring data of a plurality of data sources; according to the position information of each data, the acquired data are arranged to obtain data corresponding to each position information; and determining one or more pieces of position information included in each space block, and taking data corresponding to the position information included in each space block as associated data of each space block.

The coding layer accesses and gathers the acquired various data through the data guiding tool, specifically, the space block to which each data belongs can be determined according to the position information corresponding to the data, and then the data belonging to the same space block are integrated, so that the data about each space block, namely the associated data of each space block, can be obtained.

And then, converting different data formats of the tidied data through a conversion tool to obtain data suitable for coding, namely data to be coded. The invention does not limit the conversion of data too much, and can process the data by common data processing modes (such as normalization, filtration, interpolation and the like).

And finally, encoding the data to be encoded by an encoding tool according to the encoding specification, and determining the grid encoding of each item of data to be encoded. In some embodiments, the data to be encoded may be encoded using a uniform code scale. And if the converted data are coded by using the Beidou grid coding standard during coding, determining the Beidou grid coding of each item of data to be coded.

As described above, the preset geospatial range may be set as desired, and it should be appreciated that the data resource layer collects data within the preset geospatial range.

According to one embodiment of the invention, the index layer builds an index table from the trellis codes of the spatial blocks and the position information of each spatial block, and builds an information table from the trellis identifier of each spatial block and the associated data. The index layer may be embodied as a trellis coded index system. The grid coding index system includes: an index table, a space-time storage cluster and an index dynamic updating module. The index table establishes a data storage mode based on a table, stores grid codes of the space blocks and position information of each space block in the preset geographic space range, and establishes indexes of grid identifiers on the position information and associated data. The trellis identifier of the spatial block is included in the trellis code, and optionally, a fixed byte in the trellis code is used as the trellis identifier, which is not excessively limited by the embodiment of the present invention. The index layer also establishes an information table according to the grid identifier of the space block and associated data, and specifically, the space-time storage cluster can be used for associating and storing grid attribute data with associated data, wherein the associated data is, for example, data (number, position, site name, operation state) of bus stops corresponding to each space block in one city. The index dynamic updating module is responsible for updating the data in the index table and the space-time storage cluster, and when the space block and/or the associated data are changed, the associated data of the index table and/or the space-time storage cluster are changed.

According to one embodiment of the invention, the engine layer may be embodied as a data service engine system, which is described in detail later. The data service engine system includes data retrieval, data manipulation, data analysis, and data visualization.

According to one embodiment of the invention, the service layer is adapted to provide a query interface to the user, which query interface receives the query information of the user.

According to one embodiment of the invention, the service layer provides grid application services and services of a visual fusion GIS system. The grid application service comprises a space-time block data service system, urban space-time information analysis and early warning, grid one-picture service, cross-department data sharing and resource integration, a digital twin urban information model base and the like. The visual fusion GIS system comprises data dynamic, video enhancement, access service, analysis service, storage service, forwarding service and other services.

According to one embodiment of the invention, the industrial Internet platform further comprises invoking a standard security operation and maintenance architecture to provide data services.

According to the scheme of the invention, the industrial Internet platform acquires data through the data resource layer, fuses the data of multiple sources through the coding layer coding, and establishes the index, so that the engine layer and the service layer can perform operation analysis according to the index and the grid coding later, data service is provided, each database does not need to be searched, the operation efficiency can be improved, and the load is reduced.

According to one embodiment of the invention, the industrial Internet platform of the invention is embodied as one or more computing devices, each of which carries one or more modules of the industrial Internet platform to perform a corresponding function.

FIG. 2 illustrates a block diagram of a computing device 200 according to an exemplary embodiment of the invention. In a basic configuration, computing device 200 includes at least one processing unit 220 and system memory 210. According to one aspect, depending on the configuration and type of computing device, system memory 210 includes, but is not limited to, volatile storage (e.g., random access memory), non-volatile storage (e.g., read-only memory), flash memory, or any combination of such memories. According to one aspect, system memory 210 includes an operating system 211.

According to one aspect, operating system 211 is suitable, for example, for controlling the operation of computing device 200. Further, examples are practiced in connection with a graphics library, other operating systems, or any other application program and are not limited to any particular application program or system. This basic configuration is illustrated in fig. 2 by those components within dashed line 215. According to one aspect, computing device 200 has additional features or functionality. For example, according to one aspect, computing device 200 includes additional data storage devices (removable and/or non-removable) such as, for example, magnetic disks, optical disks, or tape.

As set forth hereinabove, according to one aspect, program modules 212 are stored in system memory 210. According to one aspect, program modules 212 may include one or more applications, the invention is not limited to the type of application, e.g., applications further include: email and contacts applications, word processing applications, spreadsheet applications, database applications, slide show applications, drawing or computer-aided application, web browser applications, etc.

According to one aspect, the examples may be practiced in a circuit comprising discrete electronic components, a packaged or integrated electronic chip containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic components or a microprocessor. For example, the example may be practiced with a system on a chip (SOC) that integrates the components shown in fig. 2 on a single integrated circuit. According to one aspect, such SOC devices may include one or more processing units, graphics units, communication units, system virtualization units, and various application functions, all of which are integrated (or "burned") onto a chip substrate as a single integrated circuit. When operating via an SOC, the functionality described herein may be operated via dedicated logic integrated with other components of computing device 200 on a single integrated circuit (chip). Embodiments of the invention may also be practiced using other techniques capable of performing logical operations (e.g., AND, OR, AND NOT), including but NOT limited to mechanical, optical, fluidic, AND quantum techniques. In addition, embodiments of the invention may be practiced within a general purpose computer or in any other circuit or system.

According to one aspect, computing device 200 may also have one or more input devices 231, such as a keyboard, mouse, pen, voice input device, touch input device, or the like. Output devices 232 such as a display, speakers, printer, etc. may also be included. The foregoing devices are examples and other devices may also be used. Computing device 200 may include one or more communication connections 233 that allow communication with other computing devices 240. Examples of suitable communication connections 233 include, but are not limited to: RF transmitter, receiver and/or transceiver circuitry; universal Serial Bus (USB), parallel and/or serial ports. Computing device 200 may be communicatively connected to other computing devices 240 via communication connection 233.

Embodiments of the present invention also provide a non-transitory readable storage medium storing instructions for causing a computing device to perform a method according to embodiments of the present invention. The readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be any method or technology for information storage. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of readable storage media include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transitory readable storage medium.

According to one aspect, communication media is embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal (e.g., carrier wave or other transport mechanism) and includes any information delivery media. According to one aspect, the term "modulated data signal" describes a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio Frequency (RF), infrared, and other wireless media.

It should be noted that although the above-described computing device only shows processing unit 220, system memory 210, input device 231, output device 232, and communication connection 233, the device may include other components necessary to achieve proper operation in a particular implementation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.

Fig. 3 shows a flow diagram of a space-time data service method 300 based on trellis encoding according to an exemplary embodiment of the present invention. The space-time data service method 300 based on grid coding of the present invention is suitable for execution in a computing device. It should be noted that, the space-time data service method 300 based on the grid coding may be implemented through the industrial internet platform, and the description of the space-time data service method 300 based on the grid coding is complementary to the description of fig. 1. The spatio-temporal data service refers to various data query services for a preset geospatial range based on grid coding according to factors such as time, space and the like. Spatio-temporal data refers to data that is collected or stored, typically including time information in addition to location information.

The space-time data service method 300 based on the trellis encoding of the present invention first performs step 310.

Performing space subdivision on a preset geographic space range to obtain a plurality of space blocks, and encoding each space block and associated data thereof to obtain grid codes, wherein the grid codes comprise grid identifiers.

According to one embodiment of the present invention, the encoding layer is adapted to execute step 310 of performing spatial subdivision on a preset geospatial range to obtain a plurality of spatial blocks, and encoding each spatial block and its associated data to obtain a trellis code, the trellis code comprising a trellis identifier and trellis attribute data.

According to one embodiment of the invention, the preset geospatial range includes all or a portion of the earth's surface or geospatial space.

According to one embodiment of the invention, the earth's surface may be determined in particular in terms of longitude and latitude, and a portion of the earth's surface space may be determined by setting a range of longitudes and latitudes.

According to one embodiment of the invention, the geospatial space may be determined in particular from a three-dimensional coordinate system, such as from a geodetic coordinate system. The three-dimensional coordinate system is set according to a plane formed by longitude and latitude of the earth surface and a longitudinal axis perpendicular to the plane; the vertical axis is the coordinate axis indicating the height. A part of the geospatial space can be divided into a preset geospatial range by setting the origin of the three-dimensional coordinate system in geography and the range value on each coordinate axis. The specific setting mode of the preset geographic space range is not limited, and a factory building, a city, a place or an overground and underground space of the place range can be set as the preset geographic space range.

According to one embodiment of the invention, when dividing the preset geographic space range, a two-dimensional grid or a three-dimensional grid can be arranged on the preset geographic space range according to a preset step length; the two-dimensional grid consists of lines parallel to longitude and latitude; a three-dimensional grid consists of lines parallel to longitude, latitude, and altitude. The preset step length can be set to be 1 degree, 2 degrees and the like, or is accurate to the level of grading and seconds, and the specific value of the preset step length is not limited by the invention.

According to one embodiment of the invention, the earth surface is spatially dissected by a two-dimensional grid to obtain earth surface grid cells, and each earth surface grid cell is a space block.

According to one embodiment of the invention, the three-dimensional grid is used for carrying out space subdivision on the three-dimensional space of the earth to obtain the three-dimensional grid units, and each three-dimensional grid unit is a space block.

According to one embodiment of the present invention, since each spatial block occupies a certain area in a preset geospatial range, data acquired from the data resource layer corresponding to the area can be used as associated data of the spatial block. If the spatial blocks are earth stereoscopic grid cells generated from a three-dimensional grid, the data within the region is also matched to each spatial block as associated data in terms of altitude, such as geodetic altitude. The earth height is the distance from the point where the data is located along the normal line to the earth reference ellipsoid.

According to one embodiment of the invention, the associated data of the spatial blocks may include GIS map data, video data, oblique photography data, signaling/positioning data, laser point cloud data, man-house data, weather marine data, public thematic data, and the like.

According to one embodiment of the invention, the coding tool codes each space block and the associated data thereof, and codes the space blocks according to the position information of the space blocks in the preset geographic space range and the associated data thereof during coding to obtain the uniform identification of the space positions of the space blocks, wherein the coding is the grid coding of the space blocks. One example of trellis encoding for spatial block settings is: 021983694722421.

according to one embodiment of the present invention, the grid code includes a grid identifier and grid attribute data, the grid identifier is a unique identification ID of the space block or grid unit, the grid attribute data records an attribute of the space block, and the associated data corresponding to the space block may include one or more items of administrative area, space block position information, hydrologic information, meteorological information, building type, and the like. The grid identifier facilitates the operation of the spatial block, the grid attribute data facilitates the search of the attributes of the spatial block, and the like. According to one embodiment of the invention, if the coding tool codes the space block based on the geospatial subdivision model and uses the Beidou grid coding specification to code the space block, the Beidou grid position code of the space block is obtained. If the space block is an earth surface grid unit, the grid code of the space block is a Beidou two-dimensional grid position code; if the space block is an earth three-dimensional grid unit, the grid code of the space block is a Beidou three-dimensional grid position code.

Step 320 is then performed by the indexing layer to build an index table based on the grid codes of each spatial block and the position information of the spatial block in the preset geospatial range, and to build an information table based on the grid identifier of each spatial block and the associated data.

According to one embodiment of the invention, the index layer may be embodied as a trellis coded index system. The grid coding index system includes: an index table, a space-time storage cluster and an index dynamic updating module. The index table establishes a data storage mode based on a table, stores grid codes of the space blocks and position information of each space block in the preset geographic space range, and establishes an index for grid codes according to the position information; the index layer also establishes an information table according to the grid identifier of the space block and the associated data, and establishes an index of the associated data according to the grid identifier. The space-time storage cluster may store association data of space blocks having association relations in a preset geographical space range, for example, data of bus stops (number, position, station names, operation states) corresponding to each space block in one city, and the like. The index dynamic updating module is responsible for updating the data in the index table and the space-time storage cluster, and when the space block and/or the associated data are changed, the associated data of the index table and/or the space-time storage cluster are changed.

Subsequently, the engine layer performs steps 330 and 340. Specifically, in step 330, at least one target spatial block of the preset geospatial range is determined from the query information and the index table in response to the query information of the user. In step 340, for each target space block, the corresponding associated data is queried in the information table, and the associated data of at least one target space block is used as a query result.

Fig. 4 shows a functional schematic of a data service engine system according to an exemplary embodiment of the present invention. As shown in fig. 4, the data service engine system includes functions of data retrieval, data operation, data analysis, and data visualization.

Specifically, the data retrieval includes grid queries, regional queries, administrative regional queries, and conditional queries. The data retrieval provides a data query interface for the user, and receives query information input by the user for data retrieval.

According to one embodiment of the invention, the query information entered by the user includes one or more of text, images, and video. The invention does not limit the specific form of the query information input by the user, and the invention can allow one or more types of query information to be input through the query interface provided by the service layer for the user.

According to one embodiment of the invention, the query information input by the user is in a text form, and the data service engine system processes the text form query information to determine one or more keywords.

According to one embodiment of the invention, the keywords include a time query keyword and an attribute query keyword. The attribute inquiry keywords include scale, resolution, place name address, lot number, unit name, etc. The time inquiry keyword includes data of a certain time range, and the like. When query information input by a user is received, one or more keywords in the query information are extracted, then grid attribute data of grid codes in an index table are queried according to the one or more keywords, a space block which corresponds to the grid attribute data of the keywords and to which the grid codes belong is used as a target space block, and then the grid identifier of the space block is queried according to the information table, and associated data corresponding to the queried space block is used as a query result. For example, if the keywords include "today am", "weather fine", space blocks with "time attribute" and "weather attribute" matching are selected from the grid attribute data as target space blocks; then, according to the grid identifier of the target space block, corresponding association data is acquired, for example: city name, specific temperature data, custom culture data, video image data, etc., and further integrating the associated data, such as clustering, to determine the final query result conforming to the query information. Of course, other keywords may be included in the query information to further match based on the above results, which is not limited by the present invention.

If the query information input by the user is in the form of an image or a video, the data service engine system performs image analysis or video analysis on the query information in the form of the image or the video, and performs image comparison and peer-to-peer operation according to the image frames in the image or the video, so as to query the query information in the form of the image or the video.

According to another embodiment of the invention, the query information input by the user is in the form of an image, the image comprises a plurality of houses, and the user can also add other search formulas in the form of text into the query information to query the specific position, area and other information of each house. When the query image is received, operations such as image segmentation, feature recognition and the like are firstly carried out according to the query image, the query image is converted into a local image for querying each house, grid attribute data are queried according to the local image, and particularly, comparison query matching is carried out according to the image data in the grid attribute data, so that one or more space blocks included in each house are determined. And then inquiring in an information table according to the grid identifier of the space block, thereby determining associated data corresponding to one or more space blocks. And finally, processing the associated data to obtain the specific position, area and other information of each house, and returning the information to the user.

In the data query process, the invention firstly performs grid coding on the data of the data source according to the position information, and uses the data corresponding to one or more position information included in the space block as the associated data of the space block, thereby being beneficial to the grid management of each multi-source data. And an index is established by grid coding for query.

In the query process, various forms of query information can be processed, and the determined grid identifiers are utilized to perform data query, so that three-dimensional data retrieval including longitude, latitude and altitude is reduced to data retrieval including only one-dimensional grid identifiers, the data query difficulty is greatly reduced, the data query workload is reduced, the workload of a data or query server is reduced, and the data query efficiency is improved.

According to one embodiment of the present invention, the query information from the content may include image query information, a query area, etc., and the present invention does not limit the query content included in the query information. The different query content may specifically include one or more query forms, such as including one or more of text forms, image forms, or video forms.

According to one embodiment of the present invention, when the query information includes image query information, determining at least one target spatial block of the preset geospatial range according to the query information and the index table includes: determining an image observation point and an image observation range according to the image query information; at least one space block included in the image observation range under the image observation point in the preset geographic space range is determined and used as a target space block.

According to one embodiment of the invention, the image observation point and the image observation range can be specifically determined by extracting query information input by a user. The image observation point, i.e. the position where the user wants to watch the image, may be any position of a preset geospatial range. The invention does not limit the specific selection mode of the image observation points. The image observation range is the visual field range capable of observing the space blocks, and can be determined according to the observation distance of the image observation point, the observation focal length capable of being enlarged or reduced, and the observation angle capable of taking a value from the range of 0-720 degrees. The observation angle may be the maximum solid angle 4 pi of the closed curved surface.

According to one embodiment of the present invention, in response to query information input by a user, when the user wants to overlook the entire block or city from above, the user observation point is set above the block or city; when the user wants to look at one side of the street or both sides of the street, the user's observation point is set at the side facing the street or in the middle of the street. When the user wants to see the whole city, the observation distance can be set to be larger value such as 1km, 5km, etc., the observation focal length can be set to be smaller value such as 0.5 times or 1 time, etc., and the observation angle can be set to be 150 degrees or 180 degrees.

According to one embodiment of the invention, after the image observation range is determined, a cone which takes the image observation point as a vertex and takes the image observation range as a limit and extends in a preset geographic space range is made according to the image observation point and the image observation range, and the space blocks included in the cone are the space blocks included in the image observation range.

Then, inquiring in an information table according to the grid identifier of the target space block, and determining the image data of each target space block; target image data under the image observation point is generated from the image data of each target spatial block. Specific: according to the observation space block where the image observation point is located, grid shielding analysis is carried out on the observation space block and at least one target space block; judging whether a target space block in an image observation range is visible or not under an image observation point according to a grid shielding analysis result; target image data is generated according to the visual condition of the target space block in the image observation range.

According to one embodiment of the invention, the (target) spatial block visualization specifically comprises the ability to directly see the (target) spatial block at the observation spatial block, wherein no spatial block occupied by any object obscures the line of sight. Optionally, grid occlusion analysis may be performed by drawing a straight line between the (target) spatial block and the observation spatial block, and determining whether there is a spatial block occupied by the object on the straight line to occlude the line of sight.

According to one embodiment of the invention, when target image data is generated according to the visual condition of the target space blocks in the image observation range, the image data of each visual target space block is subjected to image cutting, matrix transformation, image splicing and other steps according to the arrangement sequence of the target space blocks in the image observation range, so that the target image data is obtained.

According to one embodiment of the invention, the preset geospatial range includes the earth surface or earth volume, the spatial block includes the geosurface grid cell or earth volume grid cell, and the target image data includes a two-dimensional grid image or a three-dimensional grid image at the image observation point.

According to one embodiment of the invention, the query information entered by the user also includes administrative areas. The present invention does not limit the specific scope of the administrative area, and may be specific to one or more countries, provinces, cities, counties, regions, etc. When an administrative region input by a user is received, all space blocks included in the administrative region in a region of a preset geographic space range are determined, specifically, grid attribute data of grid codes are queried according to longitude, latitude and other information of the administrative region, and therefore all space blocks included in the administrative region are determined. Then, inquiring in an information table according to the grid identifier of the space block grid coding to determine the image data of each target space block; target image data under the image observation point is generated from the image data of each target spatial block.

According to one embodiment of the present invention, the query information includes a query area including one or more query partitions, and determining at least one target space block of a preset geospatial range from the query information and an index table includes: determining space blocks included in one or more query partitions within a preset geographic space range; and performing superposition analysis on the space blocks included in the one or more query partitions, determining a union set of the space blocks included in the one or more query partitions, and taking the space blocks included in the union set as target space blocks.

The query area may be a two-dimensional plane from which all spatial blocks on the two-dimensional plane are determined; the query area may also be a three-dimensional space from which all spatial blocks in the three-dimensional space are determined. According to one embodiment of the present invention, the query area may be represented by text, an image, or the like, or may be any area that is manually drawn on the map, or of course, the query area may be represented by directly inputting a grid identifier, which is not limited in this aspect of the present invention.

According to one embodiment of the invention, the query partition may be embodied as a street, an administrative area, or the like. According to one embodiment of the invention, the query area comprises two query partitions, namely an intersecting A street and a B street, the intersection between the A street and the B street is an overlapping area, and after the space blocks of the A street comprising the intersection and the B street comprising the intersection are subjected to superposition analysis, the space blocks of the A street and the B street comprising the intersection are gathered, and the space blocks of the intersection only comprise one intersection.

According to a further embodiment of the invention, the query area comprises three query sections, which may be embodied in particular as streets comprising coffee shops, streets comprising supermarkets, streets comprising banks, the query sections must have identical streets depending on these conditions, and a superposition analysis is required to remove the same sections. When it is desired to determine streets including both coffee shops and supermarkets, and streets including banks, then a stacking analysis may be performed to determine a intersection set of spatial blocks included in one or more query partitions, with the spatial blocks included in the intersection set being the target spatial blocks.

According to one embodiment of the invention, the query partition or query area may also be embodied as a query grid. The query grid may be specifically implemented as a grid set within a preset geospatial range according to longitude and latitude. The grid of the query grid can be rectangular or square, and the side length of the query grid and the side length of the space block can be set to be unequal. When the query partition or query region is implemented as a query lattice, the spatial blocks included in the query lattice are determined, as well as the lattice code of each spatial block. And then, according to the associated data of each grid identifier, querying the space block in the information table, and taking the queried associated data or associated data as a query result.

According to one embodiment of the invention, the query information further includes accurate query information, if information such as the length, the volume, etc. of a certain object is determined. If a certain object occupies a plurality of space blocks and does not occupy one or more space blocks completely, interpolation analysis is carried out on the space blocks which are occupied partially, interpolation is carried out on the space blocks, two-dimensional or three-dimensional subdivision is carried out on the space blocks, the length and the volume of the space blocks which occupy partially are continuously determined according to the small space blocks after subdivision, and more accurate determination of the length, the volume and other information of the certain object is realized.

According to one embodiment of the present invention, the data service engine system further includes a data operation, and the data operation performs the data operation according to the query information after the data query interface provided by the data retrieval receives the query information.

The data operation comprises code system conversion, code ordering, azimuth calculation, grid interpolation calculation, grid aggregation calculation, distance area calculation, position calculation, range calculation, topology calculation, grid traversal, beidou code conversion and data gridding.

According to one embodiment of the invention, the code system conversion can realize the mutual conversion among binary system, quaternary system and decimal system of grid codes;

The code ordering can realize the hierarchical ordering and the code value ordering of the grid codes;

the azimuth calculation can realize the calculation of quantitative azimuth, the calculation of domain grids in accurate directions, the calculation of fuzzy azimuth and the calculation of domain grids in fuzzy directions;

the grid interpolation calculation can realize the interpolation calculation of local grid and the interpolation calculation of whole grid;

the grid aggregation calculation can realize group aggregation and polygon aggregation of the grid codes;

the distance area calculation can calculate the grid spherical surface distance, the grid perimeter, the grid collection area, the grid ellipsoidal surface distance, the grid area, the grid collection average distance, the grid warp direction side length and the grid weft direction side length.

The position calculation can be used for calculating longitude and latitude of the grid center, extracting grid codes according to the positions, determining grid code positioning points and grid code levels, and judging the authenticity of the code geographical meaning.

The range calculation can realize the calculation of the grid range, the calculation of the grid set range and the calculation of the array of the warps and the wefts of the rectangular grid.

Topology computation enables computation of child trellis codes, parent trellis codes, child-level trellis code ranges, as well as inter-trellis topology type decisions (including adjacent or separated), inter-trellis set topology type decisions (including adjacent or separated).

The grid traversal can realize traversal of longitude and latitude line number, coding line number, longitude and latitude line number, grid relative displacement, grid relative position and grid sequence.

According to one embodiment of the invention, the data service engine system includes data analysis including grid neighborhood analysis, buffer area analysis, overlay analysis, and grid occlusion analysis.

According to one embodiment of the invention, grid neighborhood analysis enables a return to 4 neighbors of a given grid, including: north, south, west, east four fields, or 8 neighborhoods, including: north, northeast, east, southeast, south, southwest, west, northwest grids;

the buffer area analysis can calculate the buffer areas of preset points, lines and planes;

the superposition analysis can calculate a crossing set and a union set of two groups of grids, and space blocks included by the crossing set and the union set are determined;

the grid occlusion analysis can solve whether the two space blocks are visible or not under a preset view angle under the condition that the space region environment grid set is known.

According to one embodiment of the present invention, the data visualization includes a two-dimensional mesh map service and a three-dimensional mesh map service capable of providing a two-dimensional mesh image and a three-dimensional mesh image of a specified area, respectively.

According to one embodiment of the invention, the data resource layer collects data, the coding layer codes the data, the index layer constructs an index for coding, and the data service engine system retrieves, computes and analyzes the data so as to provide corresponding services for the service layer; according to the method, the content of acquisition sources such as basic space-time data, real-time sensing data of the Internet of things, internet acquisition data and the like is subjected to fusion arrangement and database establishment, a basic geographic database, a theme database and a business collaborative sharing database are finally formed, data support is provided for applications, and support services of applications such as cross-department data sharing and resource integration, grid one-piece graph, space-time block data, and time space information analysis and early warning are provided.

The method comprises the steps of obtaining a plurality of space blocks by carrying out space subdivision in a preset geographical space range, and carrying out grid coding on multi-source data according to each space block according to the position information of the space blocks. And then, when the query is carried out, the target space block can be rapidly determined only by using an index table comprising grid codes to query, and then the related data is queried according to the grid identifier of the target space block. According to the scheme of the invention, on one hand, the multisource data is integrated together from the dimension of the position information of the data, and gridding management is carried out. On the other hand, the data retrieval is reduced to the one-dimensional grid identifier, so that the data query difficulty is greatly reduced, the data query workload is reduced, the workload of the data or query server is reduced, and the data query efficiency is improved.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects.

Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments.

As used herein, unless otherwise specified the use of the ordinal terms "first," "second," "third," etc., to describe a general object merely denote different instances of like objects, and are not intended to imply that the objects so described must have a given order, either temporally, spatially, in ranking, or in any other manner.

While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of the above description, will appreciate that other embodiments are contemplated within the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to practitioners skilled in the art. The disclosure of the present invention is intended to be illustrative, but not limiting, of the scope of the invention.

Claims

1. A method of space-time data service based on trellis encoding, adapted to be executed in a computing device, the method comprising:

performing space subdivision on a preset geographic space range to obtain a plurality of space blocks, and encoding each space block and associated data thereof to obtain grid codes, wherein the grid codes comprise grid identifiers;

establishing an index table according to the grid coding of each space block and the position information of the space block in the preset geographic space range, and establishing an information table according to the grid identifier of each space block and the associated data, wherein the index table is an index of the grid coding according to the position information, and the information table is an index of the associated data according to the grid identifier;

Responding to query information of a user, and determining at least one target space block of the preset geographic space range according to the query information and an index table;

inquiring corresponding associated data in an information table for each target space block, and taking the associated data of at least one target space block as an inquiring result;

the step of inquiring the corresponding associated data of each target space block in the information table and taking the associated data of at least one target space block as an inquiry result comprises the following steps:

inquiring in the information table according to the grid identifier of the target space block, and determining the image data of each target space block;

generating target image data under the image observation point according to the image data of each target space block, wherein the target image data comprises:

according to an observation space block where an image observation point is located, performing grid shielding analysis on the observation space block and at least one target space block, including: drawing a straight line between the target space block and the observation space block, and judging whether a space block occupied by an object on the straight line blocks the sight;

judging whether a target space block in an image observation range is visible or not under the image observation point according to a grid shielding analysis result, wherein the method comprises the following steps: if no space block occupied by any object blocks the sight, the target space block is visible;

Target image data is generated according to the visual condition of the target space block in the image observation range.

2. The method of claim 1, wherein spatially partitioning the predetermined geospatial range to obtain a plurality of spatial blocks comprises:

setting a two-dimensional grid or a three-dimensional grid for a preset geographic space range according to a preset step length, and dividing the preset geographic space range to obtain an earth surface grid unit or an earth three-dimensional grid unit;

the earth surface grid cell or the earth stereoscopic grid cell is taken as a space block.

3. The method of claim 1, wherein the method further comprises:

acquiring data of a plurality of data sources;

according to the position information of each data, the acquired data are arranged to obtain data corresponding to each position information;

and determining one or more pieces of position information included in each space block, and taking data corresponding to the position information included in each space block as associated data of each space block.

4. A method as claimed in any one of claims 1 to 3, wherein the query information comprises one or more of text, images and video.

5. The method of claim 1, wherein the query information comprises image query information, and wherein determining at least one target spatial block of the preset geospatial range from the query information and an index table comprises:

Determining an image observation point and an image observation range according to the image query information;

and determining at least one space block included in the preset geographic space range in the image observation range at the image observation point, and taking the at least one space block as a target space block.

6. The method of claim 1, wherein the trellis encoding further comprises trellis attribute data, the query information comprises a query condition, and the determining at least one target spatial block of the preset geospatial range from the query information and an index table comprises:

determining one or more keywords included in the query condition;

and inquiring the grid attribute data of the grid codes in the index table according to the one or more keywords, and taking a space block which corresponds to the grid attribute data of the keywords and corresponds to the grid codes as a target space block.

7. The method of claim 1, wherein the query information comprises a query area comprising one or more query partitions, and wherein determining at least one target spatial block of the preset geospatial range from the query information and an index table comprises:

determining space blocks included in one or more query partitions within a preset geographic space range;

And performing superposition analysis on the space blocks included in the one or more query partitions, determining a union set of the space blocks included in the one or more query partitions, and taking the space blocks included in the union set as target space blocks.

8. The method of claim 3, wherein the data of the data source comprises GIS map data, video data, oblique photography data, signaling/positioning data, laser point cloud data, human room data, weather marine data, and public thematic data.

9. An industrial internet platform, the industrial internet platform comprising:

the data resource layer is suitable for acquiring various data, and the acquired data all have corresponding position information;

the coding layer is suitable for mapping the acquired data to corresponding space blocks according to the position information, taking the data as associated data of the space blocks, coding each space block and the associated data thereof to obtain grid codes of each space block, wherein the grid codes comprise grid identifiers and grid attribute data, and the space blocks are obtained by carrying out space subdivision on a preset geographical space range;

the index layer is suitable for establishing an index table according to the grid coding of the space blocks and the position information of each space block in the preset geographic space range, and establishing an information table according to the grid identifier of each space block and the associated data, wherein the index table is an index of the grid coding according to the position information, and the information table is an index of the associated data according to the grid identifier;

The service layer is suitable for providing a query interface for a user to receive query information of the user;

the engine layer is suitable for determining at least one target space block of the preset geographic space range according to the query information and the index table, querying corresponding associated data in the information table for each target space block, and taking the associated data of at least one target space block as a query result;

10. A computing device, comprising:

one or more processors;

a memory;

one or more programs, wherein the one or more programs are stored in memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the method of any of claims 1-8.

11. A computer readable storage medium storing one or more programs, wherein the one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform the method of any of claims 1-8.