CN115357741B - Online statistical service method and system for spatial data of natural resources - Google Patents
Online statistical service method and system for spatial data of natural resources Download PDFInfo
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Abstract
The invention discloses a natural resource space data online statistical service method and a system, the method can realize the functions of natural resource space data warehousing, real-time service publishing, integrated operation with online statistical service and the like, and can also realize the effects of managing published data as required and providing application service.
Description
Technical Field
The invention belongs to the field of natural resource monitoring and supervision, and particularly relates to a natural resource spatial data online statistical service method and system.
Background
With the development of the natural resource remote sensing monitoring and supervision service, the natural resource basic/special investigation data, the remote sensing monitoring data, the homeland space planning data, the management approval and other various natural resource space data need to be displayed, inquired, statistically analyzed, the natural resource monitoring problem pattern spots are classified, summarized, traced and traced quickly, and the monitoring and supervision of the problems of the natural resource violation and the like are realized.
The statistical analysis of the natural resource data is an important content of natural resource investigation and monitoring, the statistical analysis of the data of the monitoring pattern spots is carried out, the change condition of the natural resources can be mastered, the change trend of the natural resources can be judged, the illegal problem of the natural resources can be prevented, and the comprehensive management level of the natural resources can be improved.
The current statistical analysis of natural resource data faces several problems:
(1) The service publishing, displaying and counting service of the natural resource space data is usually used as 2 independent application scenes, a data management party or a service publishing party is not clear of the requirement of subsequent counting application, and an integrated operation solution is not provided.
(2) The statistical analysis of the spatial data of the natural resources is mostly realized by directly reading the data of the database, the map display of the spatial data of the natural resources is mostly based on the static vector tile data service, and the statistical operation and the map service release display are independent, so that the statistical analysis performed according to the database lacks map visual support, and the number of the maps is not linked.
(3) According to some schemes, the effect of map number linkage of data sources can be achieved, the statistical analysis result based on the database and the map service based on the vector tiles are displayed visually by utilizing spatial association or attribute association, but when the data change or the application object changes, the data need to be sliced again and published into the map service, and the timeliness is insufficient.
Disclosure of Invention
The invention provides a natural resource spatial data online statistical service method and a natural resource spatial data online statistical service system for solving the problems, which can integrate data storage, map service release and visual analysis display, can complete the map service release when the data is stored in the database, can flexibly select statistical indexes for online statistics based on different users of vector tile service, and can display the number-map-table visual results by one key, thereby improving the efficiency of the online statistical analysis of natural resources.
A natural resource spatial data online statistical service method comprises the following steps:
acquiring natural resource space data, automatically matching a map according to a map matching template to generate a visual result of the natural resource space data, and using the visual result as a real-time vector tile service display end at the rear end;
selecting a statistical index on line according to the service requirement and the data information and determining a statistical space range of data statistical analysis;
according to the statistical index and the data tile rarefaction rule analysis, selecting the hierarchy of the vector tiles which can meet the calculation requirement;
calculating whether the data volume of a single network request exceeds a threshold value or not according to the statistical space range and the hierarchy of the vector tiles, if so, selecting a front-end calculation mode, otherwise, selecting a rear-end calculation mode;
the front-end calculation mode is as follows: the front end sends the statistical space range and the hierarchy of the vector tiles to the back end, the back end analyzes the statistical space range and the hierarchy of the vector tiles through the real-time vector tile service, vector data are screened and cut to be converted into vector tiles to be returned to the front end, the front end performs calculation and displays statistical results after receiving the vector data, and meanwhile, a data map is rendered for display;
the back-end calculation mode is as follows: and the front end sends the statistical space range and the hierarchy of the vector tiles to the rear end, the statistical service of the rear end returns a statistical result to the front end after performing calculation, and meanwhile, the real-time vector tile service of the rear end returns the statistical result to be rendered and the map vector tiles to the front end for displaying after rendering.
Further, after the natural resource space data are obtained, the natural resource space data are automatically warehoused in batches based on a built-in data model and a warehousing scheme, and are managed according to multiple dimensions, and the data model and the warehousing scheme can be flexibly adjusted according to configuration.
Furthermore, the map matching template is a symbolic configuration rule for standardizing various data according to scenes of natural resource monitoring and supervision services.
Further, the statistical indexes are the space, attributes and symbols of the natural resource space data.
Further, the determining of the statistical spatial range of the data statistical analysis may specifically be a spatial range of the data statistical analysis may be visually determined by framing on a map, importing a spatial file, and selecting an administrative division.
Further, the summary display of the statistical results is divided into several scenes, wherein firstly, a front-end calculation mode is used, and the calculation results are directly displayed according to a graph-number-table linkage mode; secondly, a back-end calculation mode is used, and a back-end calculation result and the vector tiles of the current window map are returned to the front end together for joint display; and thirdly, simultaneously using a front-end computing mode and a rear-end computing mode, and displaying the computing result together with the vector tile map at the front end in a summary mode.
The invention also provides a natural resource spatial data online statistical service system, which comprises:
the data warehousing and real-time service publishing module is used for acquiring natural resource space data, automatically matching the map according to a map matching template to generate a visual result of the natural resource space data, and using the visual result as a real-time vector tile service display end at the rear end;
the online statistical index selection and online range determination module is used for online selecting statistical indexes and determining a statistical space range of data statistical analysis according to the service requirement and the data information;
the vector tile hierarchy acquisition module is used for selecting the hierarchy of the vector tiles which can meet the calculation requirement according to the statistical index and the data tile rarefaction rule analysis;
and the calculation module is used for calculating whether the data volume of the single network request exceeds a threshold value or not according to the statistical space range and the hierarchy of the vector tiles, if the data volume of the single network request exceeds the threshold value, selecting a front-end calculation mode, and otherwise, selecting a rear-end calculation mode. And the front end calculates, the front end sends the statistical space range and the hierarchy of the vector tiles to the back end, the back end analyzes the statistical space range and the hierarchy of the vector tiles through the real-time vector tile service, vector data are screened and cut to be converted into vector tiles to be returned to the front end, the front end performs calculation and displays statistical results after receiving the vector data, and meanwhile, a data map is rendered for display. And in the rear-end computing mode, the front end sends the statistical space range and the hierarchy of the vector tiles to the rear end, the statistical service of the rear end performs computation and then returns a statistical result to the front end, and meanwhile, the real-time vector tile service of the rear end renders the statistical result to be rendered together with the map vector tiles and then returns the rendered statistical result to the front end for display.
The invention provides a solution for integrated operation of natural resource space data warehousing, real-time service publishing and online statistical service, which can realize the effects of managing and publishing data as required and providing application service. By using the method, on the basis of online statistics of the vector tile service, statistical indexes can be flexibly selected according to data, data flow is smoother, the linkage effect of statistics and map display data and maps can be achieved, in addition, the vector tile service of natural resource space data is issued in real time through a map matching template, so that what you see is what you get, and the timeliness of the application end for acquiring map data can be improved.
Drawings
In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the embodiments or technical solutions of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a flow chart of a natural resource spatial data online statistical service method.
Fig. 2 is a block diagram of a natural resource spatial data online statistical service system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
Fig. 1 is a flowchart of a natural resource spatial data online statistical service method, where the method includes:
the method comprises the steps of firstly, obtaining natural resource space data, automatically matching a map according to a map matching template to generate a visual result of the natural resource space data, and using the visual result as a real-time vector tile service display end at the rear end.
After the natural resource space data are obtained, the data are automatically put in storage, various natural resource space data are automatically put in storage in batches based on a built-in data model and a storage scheme, and management is carried out according to multiple dimensions such as time, types and the like, wherein the data model and the storage scheme can be flexibly adjusted according to configuration.
And (3) releasing real-time service, and normalizing symbolic configuration rules of various data according to scenes of monitoring and supervising business of natural resources in the early stage, wherein the symbolic configuration rules comprise various contents such as element and symbol hanging rules, symbol up-down capping rules, symbol conflict processing rules, attribute importance rules and the like, so as to form a built-in map configuration template. And automatically matching the various natural resource space data according to the matching template, immediately generating a visual result, publishing the visual result in real time, and providing a display end for the vector tile service at the back end to use, namely what you see is what you get.
And secondly, selecting statistical indexes on line according to the service requirements and the data information and determining a statistical space range of data statistical analysis.
Selecting online statistical indexes: when online statistical analysis is carried out, a vector tile map service generated by natural resource space data is firstly displayed, information such as space, attributes, symbols and the like of the data is reserved in the real-time service release process, and statistical indexes supporting online statistics can be configured according to business requirements and data information for a user to select.
And (3) determining an online statistical range: and visually determining the spatial range of data statistical analysis by means of on-map frame selection, spatial file import, administrative division selection and the like according to the data type specified by the statistical index.
And thirdly, selecting the hierarchy of the vector tiles which can meet the calculation requirement according to the statistical index and the analysis of the data tile rarefying rule.
Analyzing the data precision requirement of the statistical indexes: the method comprises the steps of relying on a rule base of advance knowledge, defining a statistical analysis index calculation method, a selection mode, a tolerance data precision threshold value and the like by the rule base, and judging which level of vector tiles can be selected for calculation to meet requirements according to selected analysis statistical indexes and data tile rarefying rule analysis. For example, at this time, the summary area of the map spots of the basic farmland problem illegally occupied in Jingzhou city needs to be counted, because the vector tile levels are different, the merging degrees of the map spots are different, the requirement of a user on the accuracy of the summary area is high, and at this time, the initial tile vector level without merging is selected for counting.
Vector tile level selection: and selecting a certain level of vector tile service to be used for the calculation of the statistical analysis according to the analysis result.
And thirdly, calculating whether the data volume of the single network request exceeds a threshold value or not according to the statistical space range and the hierarchy of the vector tiles, if so, selecting a front-end calculation mode, otherwise, selecting a rear-end calculation mode.
Because certain time and machine resources are consumed for data transmission and calculation, the front-end calculation is suitable for smaller data volume, and the data volume exceeding the threshold range is suitable for the back-end (server-end) calculation.
The data volume of a single network request is the total node number of requested elements (including points, lines and planes), and in order to reduce the calculation amount in the actual calculation, the data volume can be simplified into the number of the elements multiplied by the average node number (empirical value) of the elements. In addition, the network condition needs to be considered during calculation, and if the network condition is good, the threshold value can be properly increased; otherwise, the threshold is lowered appropriately.
The front-end calculation mode is as follows: the front end sends the statistical space range and the hierarchy of the vector tiles to the back end, the back end analyzes the statistical space range and the hierarchy of the vector tiles through the real-time vector tile service, vector data are screened and cut to be converted into vector tiles to be returned to the front end, the front end performs calculation and displays statistical results after receiving the vector data, and meanwhile, a data map is rendered for display.
The back-end calculation mode is as follows: and the front end sends the statistical space range and the hierarchy of the vector tiles to the rear end, the statistical service of the rear end returns a statistical result to the front end after performing calculation, and meanwhile, the real-time vector tile service of the rear end returns the statistical result to be rendered and the map vector tiles to the front end for displaying after rendering.
And (3) summarizing and displaying statistical results: the link is divided into a plurality of scenes, firstly, the statistical indexes are selected and only front-end calculation is needed, and then the calculation results are directly displayed according to a graph-number-table linkage mode; secondly, the statistical indexes only need to be calculated at the back end, and then the calculation results at the back end and the vector tiles of the current window map are returned to the front end together for joint display; thirdly, a plurality of statistical index items need to be calculated simultaneously at the front end and the back end, and calculation results are summarized at the front end and are displayed together with the vector tile map.
Fig. 2 is a natural resource spatial data online statistical service system, which includes:
the data storage and real-time service release module is used for obtaining natural resource space data, automatically matching a map according to a map matching template to generate a visual result for the natural resource space data, and using the visual result as a real-time vector tile service display end at the rear end;
the online statistical index selection and online range determination module is used for online selecting statistical indexes and determining the statistical space range of data statistical analysis according to the service requirements and the data information;
the vector tile hierarchy acquisition module is used for selecting the hierarchy of the vector tiles which can meet the calculation requirement according to the statistical index and the data tile rarefaction rule analysis;
and the calculation module is used for calculating whether the data volume of the single network request exceeds a threshold value or not according to the statistical space range and the hierarchy of the vector tiles, if the data volume of the single network request exceeds the threshold value, selecting a front-end calculation mode, and otherwise, selecting a rear-end calculation mode.
Wherein, the front-end calculation mode is as follows: the front end sends the statistical space range and the hierarchy of the vector tiles to the back end, the back end analyzes the statistical space range and the hierarchy of the vector tiles through the real-time vector tile service, vector data are screened and cut to be converted into vector tiles to be returned to the front end, the front end performs calculation and displays statistical results after receiving the vector data, and meanwhile, a data map is rendered for display.
The back-end calculation method is as follows: and the front end sends the statistical space range and the hierarchy of the vector tiles to the back end, the statistical service of the back end returns a statistical result to the front end after performing calculation, and simultaneously the real-time vector tile service of the back end returns the statistical result to be rendered and the map vector tiles to the front end for displaying after rendering the statistical result and the map vector tiles.
While embodiments in accordance with the invention have been described above, these embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments described. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention and various embodiments with various modifications as are suited to the particular use contemplated. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A natural resource spatial data online statistical service method is characterized by comprising the following steps:
acquiring natural resource space data, automatically matching a map according to a map matching template to generate a visual result of the natural resource space data, and using the visual result as a real-time vector tile service display end at the rear end;
selecting a statistical index on line according to the service requirement and the data information and determining a statistical space range of data statistical analysis;
according to the statistical index and the data tile rarefaction rule analysis, selecting the hierarchy of the vector tiles which can meet the calculation requirement;
calculating whether the data volume of a single network request exceeds a threshold value according to the statistical space range and the hierarchy of the vector tiles, if so, selecting a front-end calculation mode, otherwise, selecting a rear-end calculation mode;
the front-end calculation mode is as follows: the front end sends the statistical space range and the hierarchy of the vector tiles to the rear end, the rear end analyzes the statistical space range and the hierarchy of the vector tiles through the real-time vector tile service, vector data are screened and cut to be converted into vector tiles to be returned to the front end, the front end performs calculation and displays statistical results after receiving the vector data, and meanwhile, a data map is rendered for display;
the back-end calculation mode is as follows: and the front end sends the statistical space range and the hierarchy of the vector tiles to the rear end, the statistical service of the rear end returns a statistical result to the front end after performing calculation, and meanwhile, the real-time vector tile service of the rear end returns the statistical result to be rendered and the map vector tiles to the front end for displaying after rendering.
2. The online statistical service method for natural resource space data according to claim 1, wherein after the natural resource space data is obtained, the natural resource space data is automatically warehoused in batches based on a built-in data model and a warehousing scheme, and is managed according to multiple dimensions, and the data model and the warehousing scheme can be flexibly adjusted according to configuration.
3. The online statistical service method for spatial data of natural resources according to claim 1, wherein the map template is a symbolic configuration rule for various types of data according to a scene specification of a monitoring and supervision business of natural resources.
4. The online statistical service method for natural resource space data according to claim 1, wherein the statistical indicators are spaces, attributes, and symbols of the natural resource space data.
5. The online statistical service method for spatial data of natural resources according to claim 1, wherein the statistical spatial range for statistical analysis of data is determined by visually determining the spatial range for statistical analysis of data through on-map framing, importing spatial files, and selecting administrative divisions.
6. The online statistical service method of spatial data of natural resources as claimed in claim 1, wherein the statistical result is summarized and displayed in several scenes, one is that a front-end calculation mode is used, and the calculation result is directly displayed in a graph-number-table linkage mode; secondly, a rear-end calculation mode is used, and a rear-end calculation result and the vector tiles of the current window map are returned to the front end together for joint display; and thirdly, simultaneously using a front-end computing mode and a rear-end computing mode, and displaying the computing result together with the vector tile map at the front end in a summary mode.
7. An online statistical service system for spatial data of natural resources, the system comprising:
the data warehousing and real-time service publishing module is used for acquiring natural resource space data, automatically matching the map according to a map matching template to generate a visual result of the natural resource space data, and using the visual result as a real-time vector tile service display end at the rear end;
the online statistical index selection and online range determination module is used for online selecting statistical indexes and determining the statistical space range of data statistical analysis according to the service requirements and the data information;
the vector tile hierarchy acquisition module is used for selecting the hierarchy of the vector tiles which can meet the calculation requirement according to the statistical index and the data tile rarefaction rule analysis;
the calculation module is used for calculating whether the data volume of a single network request exceeds a threshold value according to the statistical space range and the hierarchy of the vector tiles, if so, selecting a front-end calculation mode, otherwise, selecting a rear-end calculation mode;
a front-end computing mode, wherein the front end sends the statistical space range and the hierarchy of the vector tiles to the back end, the back end analyzes the statistical space range and the hierarchy of the vector tiles through the real-time vector tile service, vector data are screened and cut to be converted into vector tiles to be returned to the front end, and the front end performs computation and displays statistical results after receiving the vector data, and meanwhile renders a data map for display;
and in the rear-end computing mode, the front end sends the statistical space range and the hierarchy of the vector tiles to the rear end, the statistical service of the rear end performs computation and then returns a statistical result to the front end, and meanwhile, the real-time vector tile service of the rear end renders the statistical result to be rendered together with the map vector tiles and then returns the rendered statistical result to the front end for display.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593209A (en) * | 2008-12-30 | 2009-12-02 | 中国科学院地理科学与资源研究所 | A kind of alternating type online statistical map generation and distributing device and method |
| CN104361002A (en) * | 2014-09-29 | 2015-02-18 | 中国科学院国家天文台 | Method and device for configuring fixed spotty thematic symbols on network map |
| WO2015162358A1 (en) * | 2014-04-22 | 2015-10-29 | Groupe Articque Solutions | Method for the dynamic generation of interactive graphic representations of data |
| CN109571714A (en) * | 2017-09-29 | 2019-04-05 | 韩泽永 | The preparation method of interior/exterior decoration papery watt and the interior/exterior decoration papery watt thus prepared |
| CN112464055A (en) * | 2020-11-17 | 2021-03-09 | 南方电网海南数字电网研究院有限公司 | Visual linkage system, method and device, computer equipment and storage medium |
| CN113722336A (en) * | 2021-11-02 | 2021-11-30 | 武汉中地数码科技有限公司 | Image data processing method based on server-side computing resources |
| CN115129801A (en) * | 2022-06-30 | 2022-09-30 | 杭州数梦工场科技有限公司 | Map data processing method, device, equipment and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10073814B2 (en) * | 2014-08-21 | 2018-09-11 | BrainQuake Inc. | Method for representing and solving algebraic equations with a physical or virtual gear system |
| CN107016924B (en) * | 2016-12-20 | 2020-04-07 | 阿里巴巴集团控股有限公司 | Tile map generation method, updating method and updating device in virtual map |
-
2022
- 2022-10-24 CN CN202211299009.8A patent/CN115357741B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593209A (en) * | 2008-12-30 | 2009-12-02 | 中国科学院地理科学与资源研究所 | A kind of alternating type online statistical map generation and distributing device and method |
| WO2015162358A1 (en) * | 2014-04-22 | 2015-10-29 | Groupe Articque Solutions | Method for the dynamic generation of interactive graphic representations of data |
| CN104361002A (en) * | 2014-09-29 | 2015-02-18 | 中国科学院国家天文台 | Method and device for configuring fixed spotty thematic symbols on network map |
| CN109571714A (en) * | 2017-09-29 | 2019-04-05 | 韩泽永 | The preparation method of interior/exterior decoration papery watt and the interior/exterior decoration papery watt thus prepared |
| CN112464055A (en) * | 2020-11-17 | 2021-03-09 | 南方电网海南数字电网研究院有限公司 | Visual linkage system, method and device, computer equipment and storage medium |
| CN113722336A (en) * | 2021-11-02 | 2021-11-30 | 武汉中地数码科技有限公司 | Image data processing method based on server-side computing resources |
| CN115129801A (en) * | 2022-06-30 | 2022-09-30 | 杭州数梦工场科技有限公司 | Map data processing method, device, equipment and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| Web端海量电网资源GIS数据动态调度与渲染方法;程伟等;《计算机系统应用》;20180215(第02期);全文 * |
| 多源空间数据整合视角下的城市开发强度研究;岳文泽等;《生态学报》;20191108(第21期);全文 * |
| 自然资源大数据快速服务平台关键技术的研究与实现;郭双仁，唐芝青;《测绘通报》;20200825;全文 * |
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