CN113868353A - Space-time map-based visualization method and system for urban brain - Google Patents
Space-time map-based visualization method and system for urban brain Download PDFInfo
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Abstract
The invention provides a visualization method and a visualization system based on a spatio-temporal map for urban brain, which share data between a client and a spatio-temporal map platform, and then carry out deep fusion on WebGIS map information and/or Echart map information so as to jointly display the Echart map information and the WebGIS map information in a visualization large screen, thereby displaying data analysis in a mode of visual and visual GIS Webmap information and Echart map information feedback. The invention solves the problem of interaction between WebGIS and Echarts data, realizes seamless combination of WebGIS map information and Echarts chart information, and achieves the effect of self-defining visual large screen by users on the basis of zero development of a space-time map based on urban brain services.
Description
Technical Field
The invention belongs to the technical field of big data processing, and particularly relates to a space-time map-based visualization method and system for an urban brain.
Background
The space-time map is used for realizing the convergence and integration, standardization and unification of multi-source heterogeneous big data to form a space-time big data resource library; the distributed cluster storage is used for supporting a city-level large-scale data set, service data of each unit and each system are butted in real time and are managed in a unified mode, the data are sorted and converted to form standardized space-time data, then standard map services meeting the OGC standard are issued on a map server, and the services are registered in a space-time resource cloud platform for unified management.
The space-time big data visualization tool based on the space-time map is used for displaying the data-driven Echarts service map, and can directly generate Echarts view image visual display service data by combing service writing SQL, thereby avoiding code development.
The service function of the space-time one-graph platform is integrated into a space-time big data visualization tool, massive data can be provided by the space-time one-graph platform, and the layer resource service provided by the space-time big data is displayed in the visualization tool in combination with the Echarts service graph, so that large-screen visualization is realized through zero development.
The spatio-temporal graph platform can provide powerful data integration capability, but the large-screen visual display by utilizing the business data requires a heavy development task.
The conventional large-screen visualization tool on the market only needs to formulate a corresponding service flow and select a specific Echarts diagram, so that the conventional large-screen visualization tool has many defects, such as single service flow, incapability of processing complex flows, single type of Echarts diagram, incapability of realizing specific type of Echarts diagram and low customization degree.
The biggest defect is that the large-screen visualization tool as the urban brain business cannot be combined with the WebGIS map. Therefore, a business visualization tool based on the space-time big data layer service cannot be realized.
Disclosure of Invention
The invention aims to provide a space-time one-graph-based visualization method and a space-time one-graph-based visualization system for a city brain, wherein the method logs in a space-time one-graph platform in a third-party login manner through large-screen visualization to realize the simultaneous login and resource sharing of accounts of a large-screen visualization component and the space-time one-graph platform; by establishing a data sharing scheme of a space-time map platform and a large-screen visualization tool, the WebGIS is combined with the large-screen visualization tool based on data driving, the visualization tool with the WebGIS as a background and the space-time large data as a service flow is realized, a highly customized map layer map and an Echarts service map are realized, and a visual view based on urban brain services is comprehensively displayed in a zero-development mode, so that the problems brought forward in the background technology are solved.
In order to achieve the purpose, the invention adopts the following technical scheme:
the embodiment of the invention provides a space-time map-based visualization method for a city brain, which is characterized by comprising the following steps of:
logging in a space-time map platform account by a client in a third-party logging manner, creating a visual large screen for displaying WebGIS map information and/or Echart chart information at the client, creating a map component for displaying the WebGIS map information in the visual large screen, and loading the WebGIS map information in the map component;
the client acquires data of a large-screen visualization server and selects an Echart graph meeting requirements for view visualization;
and carrying out depth fusion on the Echart chart information at the corresponding position of the WebGIS map information so as to jointly display the Echart chart information and the WebGIS map information in the visual large screen, thereby displaying data analysis in a mode of visual and visual WebGIS map information and Echart chart information feedback.
Further, the map component comprises a map layer button for creating a map layer, and the map layer is used for displaying the WebGIS map information;
the WebGIS map information is obtained through the following steps:
when an instruction that the layer button is clicked is received, the client searches whether WebGIS map information is cached in a preset static file or not, and if the WebGIS map information is cached in the static file in advance, the WebGIS map information is directly acquired in the static file; and if the static file does not contain the pre-cached WebGIS map information, sending a request instruction in a wfs format, and acquiring the WebGIS map information from the GIS server.
Further, the data format of the WebGIS map information is a geojson data format; the sending of the request instruction in wfs format and the acquisition of the WebGIS map information from the GIS server specifically comprise the following steps:
a space-time image service platform receives a request instruction in a wfs format sent by a client and analyzes the request instruction; gis packaging the analyzed request instruction to obtain a gis packaging result; wherein the request instruction is sent by a client;
sending the GIS packaging result to a GIS server; the GIS server unpacks the received GIS encapsulation result and feeds back WebGIS map information in a geojson data format corresponding to the request instruction in the wfs format;
and transmitting and saving the received WebGIS map information in the static file for the next acquisition.
Further, before the wfs format request instruction is sent to the spatio-temporal map platform, the wfs format request instruction needs to be encrypted, and the spatio-temporal map receives the encrypted wfs format request instruction and then decrypts the wfs format request instruction.
Further, the request instruction in wfs format is encrypted by adopting an AES algorithm.
Further, when an instruction that the layer button is clicked is received, a plurality of layers are created and are simultaneously displayed on the large visualization screen; the Echarts icon component can acquire a plurality of icons, and can be deeply fused with the WebGIS map information and jointly displayed.
A second aspect of the invention provides a spatiotemporal-map-based visualization system for a city brain, comprising:
the system comprises a client, a client server, a spatio-temporal map platform and a GIS server;
logging in a space-time map platform account through a client, creating a visual large screen for displaying WebGIS map information and/or Echart chart information on the client, creating a map component for displaying the WebGIS map information on the visual large screen, and loading the WebGIS map information in the map component;
the client acquires data of a large-screen visualization server and selects an Echart graph meeting requirements for view visualization;
and the client deeply fuses the Echart chart information at the corresponding position of the WebGIS map information, so that the Echart chart information and the WebGIS map information are jointly displayed in the visual large screen, and the data analysis is displayed in a mode of visual and visual WebGIS map information and Echart chart information feedback.
Further, the client is further configured to search whether to pre-cache the WebGIS map information in a preset static file when receiving the instruction that the layer button is clicked, and directly acquire the WebGIS map information in the static file if the static file has the pre-cached WebGIS map information; and if the static file does not contain the pre-cached WebGIS map information, sending a request instruction in a wfs format, and acquiring the WebGIS map information from the GIS server.
Further, the client sends a wfs format request instruction, and acquires the WebGIS map information from the GIS server, where the specific signal flow direction is as follows:
a space-time image service platform receives a request instruction in a wfs format sent by a client and analyzes the request instruction; gis packaging the analyzed request instruction to obtain a gis packaging result; wherein the request instruction is sent by a client;
sending the GIS packaging result to a GIS server; the GIS server unpacks the received GIS encapsulation result and feeds back WebGIS map information in a geojson data format corresponding to the request instruction in the wfs format;
and transmitting and saving the received WebGIS map information in the static file for the next acquisition.
Further, when an instruction that the layer button is clicked is received, a plurality of layers are created and are simultaneously displayed on the large visualization screen; the Echarts icon component can acquire a plurality of icons, and can be deeply fused with the WebGIS map information and jointly displayed.
Compared with the prior art, the visualization method and the visualization system based on the spatio-temporal map for the urban brain provided by the invention have the following advantages:
according to the method, a client logs in a spatio-temporal one-graph platform account to enable the client and the spatio-temporal one-graph platform to share data, WebGIS map information and Echart chart information are loaded in a created visual large screen, and then the WebGIS map information and/or the Echart chart information are subjected to deep fusion to enable the Echart chart information and the WebGIS map information to be jointly displayed in the visual large screen, so that data analysis is displayed in a mode of visual and visual WebGIS map information and Echart chart information in a feedback mode. The invention combines a space-time map platform with a large-screen visualization tool to realize that GIS layer data of the space-time map is shared to the large-screen visualization tool, and solves the difficult problem of interaction between WebGIS and Echarts data by loading multisource WebGIS map information and Echarts icon information and displaying the multisource WebGIS map information and Echarts icon information in a visualization large screen, realizes the seamless combination of the WebGIS map information and Echarts chart information, and achieves the effect of customizing the visualization large screen by a user on the basis of zero development of the space-time map based on urban brain services.
Furthermore, the sharing mode of the GeoJson data sharing format of the invention can improve the data exchange efficiency and solve the problem of slow loading of large data volume by storing the WebGIS map information and the Echarts chart information as static files according to the new GeoJson data format.
Drawings
FIG. 1 is a block flow diagram of a spatiotemporal-map-based visualization method for a city brain according to an embodiment of the present invention;
fig. 2 is an instruction interaction diagram for acquiring the WebGIS map information from the GIS server according to the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The specific embodiments described herein are merely illustrative of the invention and do not delimit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a space-time map-based visualization method for a city brain, which is shown in figures 1-2 and comprises the following steps:
s1, logging in a spatio-temporal map platform account through a client in a third-party logging manner, creating a visual large screen for displaying WebGIS map information and/or Echart chart information on the client, creating a map component for displaying the WebGIS map information on the visual large screen, and loading the WebGIS map information in the map component.
When large-screen visualization is carried out, firstly, a spatiotemporal one-graph platform account is logged in a client, so that the client and the spatiotemporal one-graph platform can share data firstly. The map component comprises a map layer button for creating a map layer, wherein the map layer is used for displaying the WebGIS map information;
the WebGIS map information can be obtained in a static file, or a wfs instruction is sent to a space-time map platform, and then the space-time map platform obtains corresponding WebGIS map information from a GIS server. Specifically, when an instruction that the layer button is clicked is received, the client searches whether WebGIS map information is cached in a preset static file in advance, and if the static file contains the WebGIS map information which is cached in advance, the WebGIS map information is directly obtained from the static file; and if the static file does not contain the pre-cached WebGIS map information, sending a request instruction in a wfs format, and acquiring the WebGIS map information from the GIS server.
The client further comprises a visualization component, a dashboard, an Echarts view component and a WebGIS component, wherein the Echarts view component and the WebGIS component can be added in the dashboard in a mode of adding the components, and can be added repeatedly. The displayed layer directory information can be known through a legend, but the inoperable image layer is hidden. If the user wants to modify the component, the user can click an edit component button to jump to the visual component modification component and save the visual component modification component again, and the operation can automatically refresh the components in the dashboard. And adding a map layer component of the WebGIS in the visualization component, adding a layer directory tree in the WebGIS map layer component for the user to check, storing the WebGIS component and simultaneously storing the information of the layer directory tree checked by the user, and storing the information of the layer directory tree in a database along with the WebGIS component. And adding a paging large screen in the large screen, adding a WebGIS component as a base map, and adding an Echarts flow chart of various services on the base map. The WebGIS component and the ECharts component are deeply fused, the business of the urban brain is displayed on a large screen in a combined way, and data analysis is fed back to a user in a more visual and more vivid map and chart form.
The above-mentioned sending wfs instruction to the spatio-temporal map platform, then the spatio-temporal map platform obtains the corresponding WebGIS map information from the GIS server, specifically includes:
a space-time image service platform receives a request instruction in a wfs format sent by a client and analyzes the request instruction; gis packaging the analyzed request instruction to obtain a gis packaging result; wherein the request instruction is sent by a client;
sending the GIS packaging result to a GIS server; the GIS server unpacks the received GIS encapsulation result and feeds back WebGIS map information in a geojson data format corresponding to the request instruction in the wfs format;
and transmitting and saving the received WebGIS map information in the static file for the next acquisition.
In order to realize cross-platform GeoJson data sharing, a new data sharing exchange format is defined, better sharing efficiency is realized, the response speed of a system is improved, the system load and resource energy consumption are reduced, and the user satisfaction is improved.
In the past, sharing between platforms is realized through WMS and WFS services, the sharing efficiency is low, the system response is slow, and the loading of super-large-scale data volume cannot be realized in real time. In addition, there are data security issues when implementing data sharing across systems. In order to solve these serious problems,
we propose a new exchange sharing scheme and define a new data sharing format, and the specific scheme is as follows:
1. and pulling the spatio-temporal geographic information data from the spatio-temporal one-graph platform, and encrypting the geojson data by using an AES algorithm.
2. Storing the data into a static file according to the new data sharing format definition, wherein the specific file format definition is as follows:
a) a file header: type
b) A data area: data
c) File tail: token
Type: the method represents the type of drawing spatio-temporal geographic information data from a spatio-temporal graph platform, and mainly comprises three request types: including WFS requests, attribute query requests, and spatial query requests.
Data: is a data buffer. According to the Data Type defined by Type, Data is also encapsulated with two types of Data: the method comprises the steps of returning GeoJson format spatial data which accord with OGC standard and are returned by WFS request and attribute query and spatial query request
Token: when the Token is used for data sharing, the Token for encapsulating the user information is mainly used for verifying the user information.
It should be noted that all data packaged into the static file is encrypted by the AES algorithm, and after the client reads the information of the static file, the client also needs to decrypt the static file by the AES algorithm.
The large-screen visualization platform acquires spatial information data in a static file according to business requirements and selection of a user, decrypts the spatial information data into GeoJson data meeting the OGC standard by using an AES algorithm, and loads the decrypted GeoJson data in an Openlayer mode.
The space-time large-screen visualization platform realizes space data query, converts longitude and latitude information of a geographic space according to coordinate information clicked by a user, decrypts the longitude and latitude information after being encrypted by an AES algorithm, forwards a space query request to the GIS server, encrypts the space query request by the background server of the space-time large-screen visualization platform after obtaining a result, and returns the space query request to the large-screen visualization tool client.
And S2, acquiring data of the large-screen visualization server and selecting an Echart graph meeting the requirement for view visualization.
The Echart chart information can be acquired through an Echarts view component, and is pre-calculated according to urban brain and land service data and stored in a client server, and a user can directly acquire the Echart chart information through the view component.
S3, carrying out deep fusion on the Echart chart information at the corresponding position of the WebGIS map information, so that the Echart chart information and the WebGIS map information are jointly displayed in the visual large screen, and the data analysis is displayed in a mode of visual and vivid WebGIS map information and Echart chart information feedback.
Compared with the prior art, the visualization method and the visualization system based on the spatio-temporal map for the urban brain provided by the invention have the following advantages:
according to the method, a client logs in a spatio-temporal one-graph platform account to enable the client and the spatio-temporal one-graph platform to share data, WebGIS map information and Echart chart information are loaded in a created visual large screen, and then the WebGIS map information and/or the Echart chart information are subjected to deep fusion to enable the Echart chart information and the WebGIS map information to be jointly displayed in the visual large screen, so that data analysis is displayed in a mode of visual and visual WebGIS map information and Echart chart information in a feedback mode. The invention combines a space-time map platform with a large-screen visualization tool to realize that GIS layer data of the space-time map is shared to the large-screen visualization tool, and solves the difficult problem of interaction between WebGIS and Echarts data by loading multisource WebGIS map information and Echarts icon information and displaying the multisource WebGIS map information and Echarts icon information in a visualization large screen, realizes the seamless combination of the WebGIS map information and Echarts chart information, and achieves the effect of customizing the visualization large screen by a user on the basis of zero development of the space-time map based on urban brain services.
Furthermore, the sharing mode of the GeoJson data sharing format of the invention can improve the data exchange efficiency and solve the problem of slow loading of large data volume by storing the WebGIS map information and the Echarts chart information as static files according to the new GeoJson data format.
A second aspect of the invention provides a spatiotemporal-map-based visualization system for a city brain, comprising:
the system comprises a client, a client server, a spatio-temporal map platform and a GIS server;
logging in a space-time map platform account through a client, creating a visual large screen for displaying WebGIS map information and/or Echart chart information on the client, creating a map component for displaying the WebGIS map information on the visual large screen, and loading the WebGIS map information in the map component;
the client acquires Echart chart information pre-stored in a client server;
and the client deeply fuses the Echart chart information at the corresponding position of the WebGIS map information, so that the Echart chart information and the WebGIS map information are jointly displayed in the visual large screen, and the data analysis is displayed in a mode of visual and visual WebGIS map information and Echart chart information feedback.
Further, the client is further configured to search whether to pre-cache the WebGIS map information in a preset static file when receiving the instruction that the layer button is clicked, and directly acquire the WebGIS map information in the static file if the static file has the pre-cached WebGIS map information; and if the static file does not contain the pre-cached WebGIS map information, sending a request instruction in a wfs format, and acquiring the WebGIS map information from the GIS server.
Further, the client sends a wfs format request instruction, and acquires the WebGIS map information from the GIS server, where the specific signal flow direction is as follows:
a space-time image service platform receives a request instruction in a wfs format sent by a client and analyzes the request instruction; gis packaging the analyzed request instruction to obtain a gis packaging result; wherein the request instruction is sent by a client;
sending the GIS packaging result to a GIS server; the GIS server unpacks the received GIS encapsulation result and feeds back WebGIS map information in a geojson data format corresponding to the request instruction in the wfs format;
and transmitting and saving the received WebGIS map information in the static file for the next acquisition.
Further, when an instruction that the layer button is clicked is received, a plurality of layers are created and are simultaneously displayed on the large visualization screen; the Echarts icon component can acquire a plurality of icons, and can be deeply fused with the WebGIS map information and jointly displayed.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (10)
1. A spatio-temporal map-based visualization method for urban brain, comprising the steps of:
logging in a space-time map platform account through a client, creating a visual large screen for displaying WebGIS map information and/or Echart chart information on the client, creating a map component for displaying the WebGIS map information on the visual large screen, and loading the WebGIS map information in the map component;
acquiring data of a large-screen visualization server and selecting an Echart graph meeting requirements for visual display of a view;
and carrying out depth fusion on the Echart chart information at the corresponding position of the WebGIS map information, and jointly displaying the Echart chart information and the WebGIS map information in the visual large screen.
2. The spatio-temporal map-based visualization method for a city brain according to claim 1, wherein the map component comprises a layer button for creating a layer for displaying the WebGIS map information;
the WebGIS map information is obtained through the following steps:
when an instruction that the layer button is clicked is received, the client searches whether WebGIS map information is cached in a preset static file or not, and if the WebGIS map information is cached in the static file in advance, the WebGIS map information is directly acquired in the static file; and if the static file does not contain the pre-cached WebGIS map information, sending a request instruction in a wfs format, and acquiring the WebGIS map information from a GIS server.
3. The spatiotemporal-map-based visualization method for a city brain according to claim 2, wherein the data format of the WebGIS map information is a geojson data format; the sending of the request instruction in wfs format and the acquisition of the WebGIS map information from the GIS server specifically comprise the following steps:
a spatio-temporal graph server receives a request instruction in a wfs format sent by a client and analyzes the request instruction; gis packaging the analyzed request instruction to obtain a gis packaging result; wherein the request instruction is sent by a client;
sending the GIS packaging result to a GIS server; the GIS server unpacks the received GIS encapsulation result and feeds back WebGIS map information in a geojson data format corresponding to the request instruction in the wfs format;
and transmitting and saving the received WebGIS map information in the static file for the next acquisition.
4. The spatio-temporal map-based visualization method for urban brain according to claim 3, wherein said wfs format request command is encrypted before being sent to said spatio-temporal map platform, and said spatio-temporal map is decrypted when receiving the encrypted wfs format request command.
5. The spatio-temporal map-based visualization method for urban brain according to claim 4, wherein the wfs format request instruction is encrypted by AES algorithm.
6. The spatiotemporal-map-based visualization method for a city brain according to claim 2, wherein upon receiving an instruction that the map layer button is clicked, a plurality of map layers are created and simultaneously displayed on the visualization large screen; the Echarts map component can acquire a plurality of Echarts chart information and simultaneously deeply fuse and jointly display the Echarts chart information and the WebGIS map information.
7. A spatiotemporal-map-based visualization system for a city brain, comprising:
the system comprises a client, a client server, a spatio-temporal map platform and a GIS server;
logging in a space-time map platform account through a client, creating a visual large screen for displaying WebGIS map information and/or Echart chart information on the client, creating a map component for displaying the WebGIS map information on the visual large screen, and loading the WebGIS map information in the map component;
the client acquires data of a large-screen visualization server and selects an Echart graph meeting requirements for visual display;
and the client deeply fuses the Echart chart information at the corresponding position of the WebGIS map information, and the Echart chart information and the WebGIS map information are jointly displayed in the visual large screen.
8. The spatio-temporal map-based visualization system for a city brain according to claim 7, wherein the map component comprises a layer button for creating a layer for displaying the WebGIS map information;
the client is also used for searching whether WebGIS map information is cached in a preset static file or not when an instruction that the layer button is clicked is received, and directly acquiring the WebGIS map information in the static file if the WebGIS map information is cached in the static file in advance; and if the static file does not have the pre-cached WebGIS map information, sending a request instruction in a wfs format, acquiring the WebGIS map information from a GIS server, and caching the information into the static file for calling next time.
9. The spatio-temporal map-based visualization system for urban brain according to claim 8, wherein said client sends a request command in wfs format to obtain said WebGIS map information from said GIS server, and the specific signal flow is:
a space-time graph server background receives a request instruction in a wfs format sent by a client and analyzes the request instruction; gis packaging the analyzed request instruction to obtain a gis packaging result; wherein the request instruction is sent by a client;
sending the GIS packaging result to a GIS server; the GIS server unpacks the received GIS encapsulation result and feeds back WebGIS map information in a geojson data format corresponding to the request instruction in the wfs format;
and transmitting and saving the received WebGIS map information in the static file for the next acquisition.
10. The spatiotemporal-map-based visualization system for the city brain according to claim 7, wherein upon receiving an instruction that the map layer button is clicked, a plurality of map layers are created and simultaneously displayed on the visualization large screen; and the Echarts map component acquires a plurality of Echarts chart information according to the requirement of the instruction, and simultaneously, deeply fuses with the WebGIS map information and jointly displays the information.
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