CN113570198A - WebGIS-based city culture information interaction method and system - Google Patents
WebGIS-based city culture information interaction method and system Download PDFInfo
- Publication number
- CN113570198A CN113570198A CN202110732169.6A CN202110732169A CN113570198A CN 113570198 A CN113570198 A CN 113570198A CN 202110732169 A CN202110732169 A CN 202110732169A CN 113570198 A CN113570198 A CN 113570198A
- Authority
- CN
- China
- Prior art keywords
- data
- city
- information
- city culture
- culture
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 35
- 230000003993 interaction Effects 0.000 title claims abstract description 15
- 238000013439 planning Methods 0.000 claims abstract description 63
- 238000004458 analytical method Methods 0.000 claims abstract description 47
- 238000007726 management method Methods 0.000 claims abstract description 45
- 238000005516 engineering process Methods 0.000 claims abstract description 15
- 238000010219 correlation analysis Methods 0.000 claims description 39
- 238000011156 evaluation Methods 0.000 claims description 32
- 230000000694 effects Effects 0.000 claims description 26
- 238000007619 statistical method Methods 0.000 claims description 23
- 230000004927 fusion Effects 0.000 claims description 6
- 238000000638 solvent extraction Methods 0.000 claims 1
- 230000006399 behavior Effects 0.000 abstract description 60
- 230000002452 interceptive effect Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 9
- 238000011835 investigation Methods 0.000 description 9
- 239000000463 material Substances 0.000 description 8
- 230000009471 action Effects 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 6
- 238000010276 construction Methods 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 238000012732 spatial analysis Methods 0.000 description 4
- 238000013523 data management Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 239000000178 monomer Substances 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000009897 systematic effect Effects 0.000 description 3
- 239000000969 carrier Substances 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000008451 emotion Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000001502 supplementing effect Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000009193 crawling Effects 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000010422 painting Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Remote Sensing (AREA)
- General Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a city culture information interaction method and system based on WebG IS, and the method comprises the following steps: collecting city culture information, and constructing a city culture information map database based on the city culture information; fusing and displaying the city culture information map database and geographic information by using a WebG IS technology to generate a digital city culture information map; and acquiring user feedback data, analyzing the feedback data based on the digital city culture information map, and providing a basis for formulating a city culture planning scheme based on an analysis result. The method can provide a comprehensive and interactive city culture information map database, collects the behaviors and preferences of city space users, has low cost, optimizes user experience, and provides rich data base for city culture planning and culture space management.
Description
Technical Field
The invention relates to the technical field of urban planning and cultural planning intersection (hereinafter referred to as urban cultural planning), in particular to a WebGIS-based urban cultural information interaction method and system.
Background
From the perspective of urban culture planning, on one hand, when planning the types of planning such as homeland space planning, historical culture famous city protection planning, culture planning and the like, planning technicians grasp the element cognition, protection and development requirements and the like of various culture protection areas and urban culture units, and the like, and are important bases for planning and compiling. However, at present, each city has no special electronic database for cultural protection areas and cultural units of each city, and although housing and urban and rural construction departments and cultural and tourism departments register and make an album for the cultural protection units of the city in a file form, an integrated and systematic electronic database is not formed generally, and planning and compiling personnel are difficult to visually, conveniently and portably look up relevant information when using the relevant data, and rarely have statistics and filing records for the cultural units of the cities which are not cultural protection units.
On the other hand, the behavior preference of users in urban space is also an important basis for planning by planners. The system specifically comprises subjective feedback of a user on spatial text evaluation and description and other objective actual behaviors such as standing points, action tracks and the like, common collection methods for subjective feedback opinions of the user comprise questionnaire investigation, interview and the like, and in recent years, information can be acquired through methods such as network data crawling and the like. For information collection of objective and actual behaviors of a user, an observation method is mainly adopted for recording and counting, and with technology updating, methods such as Point of Interest (POI) and image recognition also appear. From the experience of the working practice of planners, the traditional data acquisition method needs a large investment of manpower, material resources and time for data collection and processing, the newly-appeared method is not the professional content for planning, the professional content is strong, the cost of the planning and compiling personnel for learning and using time is high, certain difficulty exists, and the capital cost and the communication cost are additionally increased if the professional team is required to be responsible.
From the perspective of information system construction, some cultural scenic spots with larger scale in the prefecture of economically developed regions develop intelligent scenic spot construction, but even in the same city, an integrated informatization system with unified planning is not available. Some particularly popular scenic spots and mainstream map applications establish some cooperation based on tour guide requirements, which is helpful for people to move in specific cultural units conveniently, but because the existing GIS (Geographic Information System or Geo-Information System) applies more Information introduction of the cultural units and Information optimization of lines such as traffic connecting various places, the urban cultural unit expression capability with high Information density in an internal subdivision and small range is insufficient. Meanwhile, the map application operating independently and commercially cannot collect, desensitize and transmit the action data of the user in the urban culture space back to a planning unit according to the planning requirement to be used as a basis for planning.
Therefore, the urban culture information needs to be subjected to unified and integral data modeling from the practical characteristics of urban culture planning, the data model can cover various different types of culture protection units and culture monomers, the existing GIS technology is combined, the database and the geographic information are fused, the data used by the end user and the culture units collected by the culture units are generated through the practical use condition of the end user, and the dynamic use data is generated through a statistical method and fed back to the planning unit.
Disclosure of Invention
In view of the above problems, the present invention aims to solve the problems that the current urban planning lacks a comprehensive database as a planning basis in the aspect of cultural planning, the acquisition cost of behavior preference of urban space users is high, the specialization is strong, and the integral informatization system of unified planning is lacked.
The embodiment of the invention provides a WebGIS (Web geographic information System) -based city culture information interaction method, which comprises the following steps:
collecting city culture information, and constructing a city culture information map database based on the city culture information;
fusing and displaying the city culture information map database and geographic information by using a WebGIS technology to generate a digital city culture information map;
and acquiring user feedback data, analyzing the feedback data based on the digital city culture information map, and providing a basis for formulating a city culture planning scheme based on an analysis result.
In one embodiment, the collecting city culture information and constructing a city culture information map database based on the city culture information includes:
obtaining city culture information, and performing plate division on the city culture information to generate bottom layer data;
classifying and dividing the bottom layer data to generate management information, and constructing a city culture information map database based on the bottom layer data and the management information.
In one embodiment, the classifying the bottom layer data, generating management information, and constructing a city culture information map database based on the bottom layer data and the management information includes:
acquiring city culture information, comprehensively evaluating city culture places based on the city culture information, generating a comprehensive evaluation result, and storing the city culture information into the bottom-layer database;
coding the city culture information based on the coding standard of the bottom database to generate a city culture code;
carrying out field identification on the comprehensive evaluation result and the city culture information to generate a city culture identification;
and binding the city culture code, the city culture identification and the city culture information to generate the management information, and constructing a city culture information map database based on the bottom layer data and the management information.
In one embodiment, the user feedback data comprises:
individual feature data, behavior preference data, spatiotemporal data, attention data and scoring data.
In one embodiment, the collecting user feedback data, analyzing the feedback data based on the digitized city culture information map, and providing a basis for formulating a city culture planning scheme based on an analysis result includes:
performing descriptive statistical analysis according to the individual feature data, the behavior preference data, the time-space data, the attention data and the score data to generate a descriptive statistical analysis result;
collecting the spatio-temporal data, generating a user activity track based on the spatio-temporal data, fusing the user activity track with the digital city culture information map to generate user behavior data, and performing behavior density analysis based on the user behavior data to generate a behavior density analysis result;
constructing a correlation analysis model based on the individual characteristic data, the behavior preference data and the spatio-temporal data, and performing correlation analysis based on the correlation analysis model to generate a correlation analysis result;
and formulating the urban culture information planning scheme based on the descriptive statistical analysis result, the density analysis result and the correlation analysis result.
In a second aspect, the present invention further provides a WebGIS-based city culture information interaction system, including:
the building module is used for collecting city culture information and building a city culture information map database based on the city culture information;
the fusion display module is used for performing fusion display on the city culture information map database and the geographic information by using a WebGIS technology to generate a digital city culture information map;
and the analysis module is used for acquiring user feedback data, analyzing the feedback data based on the digital city culture information map, and providing a basis for formulating a city culture planning scheme based on an analysis result.
In one embodiment, the building module includes:
the plate division submodule is used for acquiring city culture information, performing plate division on the city culture information and generating bottom layer data;
and the classification and division submodule is used for classifying and dividing the bottom layer data to generate management information, and constructing an urban culture information map database based on the bottom layer data and the management information.
In one embodiment, the classification sub-module includes:
the comprehensive evaluation unit is used for acquiring city culture information, comprehensively evaluating city culture places based on the city culture information, generating a comprehensive evaluation result and storing the city culture information into the bottom database;
the encoding unit is used for encoding the urban culture information based on the encoding standard of the bottom database to generate an urban culture code;
the field identification unit is used for carrying out field identification on the comprehensive evaluation result and the city culture information to generate a city culture identification;
and the binding unit is used for binding the city culture code, the city culture identifier and the city culture information to generate the management information, and constructing a city culture information map database based on the bottom layer data and the management information.
In one embodiment, the user feedback data comprises:
individual feature data, behavior preference data, spatiotemporal data, attention data and scoring data.
In one embodiment, the analysis module comprises:
the descriptive statistical analysis submodule is used for performing descriptive statistical analysis according to the individual characteristic data, the behavior preference data, the space-time data, the attention data and the grading data to generate a descriptive statistical analysis result;
the behavior density analysis submodule is used for acquiring the space-time data, generating a user activity track based on the space-time data, fusing the user activity track and the digital city culture information map to generate user behavior data, and performing behavior density analysis based on the user behavior data to generate a behavior density analysis result;
the correlation analysis submodule is used for constructing a correlation analysis model based on the individual characteristic data, the behavior preference data and the spatio-temporal data, performing correlation analysis based on the correlation analysis model and generating a correlation analysis result;
and the formulating submodule is used for formulating the urban culture information planning scheme based on the descriptive statistical analysis result, the density analysis result and the correlation analysis result.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the city culture information interaction method based on the WebGIS provided by the embodiment of the invention takes a mobile phone application program as a source medium, collects feedback information of a user about city culture space in a big data form, and takes the feedback information after analysis as a basis for a planner to improve the city culture space, and the city culture information map has functional innovation or breakthrough in the aspects of planning data source and management, planning and designing assistance, tourism navigation and the like: compared with the urban culture map which needs to periodically input and update cultural relic protection unit data, the urban culture information map can respectively obtain behavior preference data and space-time behavior data of the urban culture information map relative to the cultural space from the user terminal through the user terminal and the background server; objective entity data such as scale and land property of a cultural space and character information data such as historical cultural continuance can be updated at any time from a planner through a background server, all data are input immediately along with the occurrence of front-end or background using behaviors, data recording objects are expanded from cultural protection units to diversified cultural places such as squares and theaters, and the comprehensiveness of a city cultural map is improved; from the auxiliary function of planning and designing, a user can search and comment on the culture space through the user terminal, and further analysis on the heat degree of the culture space and the behavior preference of the user on the culture space is realized. Because the front end opens a positioning function, the space-time data of a user in a culture space can be obtained, and access point density, tour trajectory line density and the like are formed; and finally, a navigation strategy function is provided for the tourists in the culture space, the tourists are opened by utilizing the user terminal based on the urban culture space database, functions of retrieval, navigation, introduction, comment and the like are provided, audience groups are widened, channels and types of data acquisition are widened, and user experience is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a WebGIS-based city culture information interaction method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a map database structure of urban cultural information according to an embodiment of the present invention;
fig. 3 is a functional diagram of city culture information map data collection, feedback, and analysis provided by an embodiment of the present invention;
FIG. 4 is a flowchart of step S101 provided by the embodiment of the present invention;
FIG. 5 is a schematic diagram of the general integration of a city culture database according to an embodiment of the present invention;
FIG. 6 is a flowchart of step S1011 according to an embodiment of the present invention;
FIG. 7 is a flowchart of step S103 according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of user individual feature collection provided in example 2;
fig. 9 is a schematic diagram of a chief interface of the national prisoner search result provided in embodiment 2;
fig. 10 is a schematic diagram of a city culture space evaluation system provided in embodiment 2;
FIG. 11 is the emotion map of the tourist supervised by the country according to example 2;
FIG. 12 is a tourist distribution thermodynamic diagram provided in example 2;
FIG. 13 is a graph of the mobile trace density provided in example 2;
fig. 14 is a block diagram of a WebGIS-based city culture information interaction system according to an 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.
Referring to fig. 1, a WebGIS-based city culture information interaction method provided by an embodiment of the present invention includes: s101 to S103;
s101, collecting city culture information, and constructing a city culture information map database based on the city culture information.
Specifically, referring to fig. 2, the city culture information map database is designed by adopting a four-layer structure of a data layer, a management layer, a service layer and an application layer, wherein the data layer is mainly responsible for collecting and storing data, the management layer is responsible for editing, adding and deleting, inquiring and other aspects of data by professionals, the management layer is a link between the data layer and the service layer, the service layer provides various analysis services including spatial analysis, three-dimensional simulation and the like, the application layer mainly provides application services for relevant governments, research institutions and the public, according to different modes of an internal network and an external network, the internal network is a basic platform of subject research, provides services such as data processing, spatial analysis, drawing and the like for professional users, and the external network mainly uses a webGIS technology to realize public presentation of data and facilitate inquiry, supervision and the like.
Further, the city cultural information map database is divided into three sub-databases, namely a cultural space database, a cultural resource database and a cultural activity platform database, wherein the cultural space database comprises various spatial carriers for bearing cultural resources, the cultural resource database is classified according to the collection and output types of the cultural resources, and the cultural activity platform database mainly embodies various activities which occur in the cultural space and embody the characteristics of various cultural resources.
And S102, fusing and displaying the city culture information map database and the geographic information by using a WebGIS technology to generate a digital city culture information map.
Specifically, a city culture information three-dimensional model is built based on the city culture information map database, geographic information is collected, the geographic information is matched with the city culture information in the city culture information map database by using a WebGIS technology, the geographic information is displayed at a relative city space place of the corresponding city culture information three-dimensional model based on a matching result, each cultural relic protection unit and a cultural monomer in a city are spatially positioned in a point form, relevant information of each cultural relic protection unit is recorded, an electronic database (namely a digital city culture information map) with spatial attributes is formed, and systematic image-bearing information can be respectively presented to users and planners in a form of user terminals and background servers.
S103, user feedback data is collected, the feedback data is analyzed based on the digital city culture information map, and a basis is provided for formulating a city culture planning scheme based on an analysis result.
Specifically, the user feedback data includes: individual feature data, behavior preference data, spatiotemporal data, attention data and scoring data.
Furthermore, the user terminal is used as an open source medium, feedback information of the user about the urban culture space is collected in a big data form, and the background server is used as a storage and analysis medium for collecting data, so that data and conclusion support is provided for a planner to compile a planning scheme.
Further, referring to fig. 3, based on the application of the digitized city culture information map to the user terminal, user feedback data is obtained through an explicit feedback behavior and an invisible feedback behavior on the user line, wherein individual characteristic data is obtained through personal information filled when a program user registers a program account, and the individual characteristic data is important data reflecting basic socioeconomic attributes of the user; the method comprises the steps that preference data are obtained through explicit feedback behaviors of a program user, a data source channel comprises a description of the preference degree of the user on a culture space, commenting and commenting characters issued by the user in the program, and a special questionnaire which is filled in by the user and issued based on the program, and the behavior preference data are rational selections with tendencies of the user in consideration of products and services; the method comprises the steps that space-time data are obtained based on implicit feedback behaviors of a program user, data with space attributes such as the position where the user is located and action tracks are collected through a mobile phone, the standing time of the user at a certain culture node can be calculated by combining the time of arrival positioning and the time of departure positioning, and the space-time data are data with time and space dimensions and are incidence relations of the user in the aspects of space, space and the like in an entity of a culture space; obtaining attention data through ways such as keyword retrieval frequency, preference point evaluation frequency, message quantity, number of words content release pieces and the like, wherein the attention data is used for measuring the quantity value of the keywords related to the culture space; and establishing a special database through a special page and a link to obtain scoring data, wherein the scoring data is an evaluation result of each attribute of the target culture space by a scoring system set by a user according to a program.
In this embodiment, the mobile phone application is used as a source medium, feedback information of the user about the city culture space is collected in a big data form, and the feedback information is analyzed and then used as a basis for a planner to improve the city culture space, so that the city culture information map has functional innovation or breakthrough in aspects of planning data sources and management, planning and design assistance, tourism navigation and the like: compared with the urban culture map which needs to periodically input and update cultural relic protection unit data, the urban culture information map can respectively obtain behavior preference data and space-time behavior data of the urban culture information map relative to the cultural space from the user terminal through the user terminal and the background server; objective entity data such as scale and land property of a cultural space and character information data such as historical cultural continuance can be updated at any time from a planner through a background server, all data are input immediately along with the occurrence of front-end or background using behaviors, data recording objects are expanded from cultural protection units to diversified cultural places such as squares and theaters, and the comprehensiveness of a city cultural map is improved; from the auxiliary function of planning and designing, a user can search and comment on the culture space through the user terminal, and further analysis on the heat degree of the culture space and the behavior preference of the user on the culture space is realized. Because the front end opens a positioning function, the space-time data of a user in a culture space can be obtained, and access point density, tour trajectory line density and the like are formed; and finally, a navigation strategy function is provided for the tourists in the culture space, the tourists are opened by utilizing the user terminal based on the urban culture space database, functions of retrieval, navigation, introduction, comment and the like are provided, audience groups are widened, channels and types of data acquisition are widened, and user experience is improved.
In one embodiment, referring to fig. 4, the collecting city culture information and constructing a city culture information map database based on the city culture information in step S101 includes:
s1011, obtaining city culture information, and carrying out plate division on the city culture information to generate bottom layer data.
Specifically, referring to fig. 2, the city culture information plate is divided into geographic space data, a culture topic database, ecological environment data and social and economic data; the geospatial data plays a basic positioning role and comprises a historical public map, a modern map, a satellite remote sensing image, an aerial image, a DEM (Digital Elevation Model) Elevation map and the like; the cultural heritage subject data comprises a field investigation report, related literature data, planning data and the like; the ecological environment data mainly comprises an engineering geological map, a water source conservation area, animal and plant source points or galleries and the like; the socioeconomic data mainly includes demographic data, urban data, and economic data.
Further, the city culture information is divided into blocks based on the specific content of the bottom data, and the block-divided city culture information is stored in a corresponding database.
And S1012, classifying and dividing the bottom layer data to generate management information, and constructing a city culture information map database based on the bottom layer data and the management information.
Specifically, a main body of a city cultural information map database is composed of three major sub-databases, namely a cultural space database, a cultural resource database and a cultural activity platform database, on the basis of the main body, hierarchical classification guidance and query identification which take a keyword field as a label as a resource, unique numbers are distributed to the resources of different levels, different types and different identifications by using a multi-level extension type coding structure, and the maintenance and management of the resource database are guaranteed according to four resource management processes of information acquisition, comprehensive evaluation, auxiliary support and network release.
Further, referring to fig. 5, after the bottom layer data is classified and divided, the maintenance management of the bottom layer data that needs to be classified and divided includes the specific steps of: the method comprises the steps of collecting city culture information, and further verifying, supplementing and perfecting city culture data through data arrangement and field investigation on the basis of existing investigation such as cultural relic general investigation; comprehensive evaluation is carried out, mutual check of cultural resources and attributes is realized, and accurate and detailed historical information, current situation characteristics, pictures and video data are provided to assist in judging cultural value; planning auxiliary support, providing various data required by planning by a database, and performing auxiliary decision making; monitoring and network publishing assist in realizing real-time and rapid network monitoring, and network publishing is performed on culture information or protection planning by combining with a WebGIS technology, so that necessary correction and guidance are performed on the culture planning.
In one embodiment, referring to fig. 6, the classifying and dividing the bottom layer data in step S1012 to generate management information, and constructing a city culture information map database based on the bottom layer data and the management information includes:
s10121, city culture information is obtained, comprehensive assessment is conducted on city culture places based on the city culture information, comprehensive assessment results are generated, and the city culture information is stored in the bottom layer database.
Specifically, the city space place corresponding to the city culture information is investigated on the spot, the storage condition, the utilization condition and the like of the city space place are comprehensively evaluated, and the culture information related to the city culture space place is subjected to extensive literature collection, so that sufficient materials are provided for subsequent data management and related planning.
S10122, coding the city culture information based on the coding standard of the bottom database to generate a city culture code.
Specifically, a multi-level extensible coding structure is arranged to distribute unique numbers to resources of different levels, different types and different identifications, and the large class codes and the small class codes of the object coding one-level class code classification codes are respectively expressed by digits.
S10123, carrying out field identification on the comprehensive evaluation result and the city culture information to generate a city culture identification.
Specifically, the keyword field is used as a field identifier to serve as a hierarchical classification guide and query identifier of the resource.
S10124, binding the city culture code, the city culture identification and the city culture information to generate the management information, and constructing a city culture information map database based on the bottom layer data and the management information.
The method for preprocessing city culture information is described in a complete embodiment.
Example 1:
taking the city cultural building as "Xin Lin Ji No. 8 coffee hall in Qing Hua campus" as an example, the corresponding city cultural information is: the number 8 coffee hall of the new forest institute in the Qinghua campus is the original residence of Liangsi thought and Linhui, and the culture salon of the Honghu of Lianglin couples and scholars was witnessed and is considered as the first most important creation of building arts in the new China. The building has become a coffee hall nowadays, becomes one of the most active places of 'micro salon', and is listed in 'the first record of immovable revolutionary cultural relics in Beijing city' in 3 months in 2021, with the grades as follows: "non-removable cultural relics which have not been approved for publication as units of cultural relic protection".
For the Xinlin institute No. 8, from the perspective of maintenance and management, the site is investigated on the spot, the preservation condition, the utilization condition and the like of the building are comprehensively evaluated, and the cultural information related to the site is subjected to extensive literature collection, so that sufficient materials are provided for the subsequent data management and related planning;
the cultural resource is coded based on the coding standard of the urban cultural database, wherein the coding standard of the urban cultural database is as follows: primary classification code: non-material culture resource 01/material culture resource 02; secondary classification code: (material cultural resource) mobile cultural resource 01/non-mobile cultural resource 02; three-level classification code: (immovable cultural resources) natural landscape 01, geological park 02, ancient site 03, historical site 04, stone wall painting 05 and historical buildings 06; four-stage classification: (cultural site) commercial site 01, residence 02, factory 03, military building 04, religious building 05, public utility site 06, garden farm 07; five-level classification: national key protection unit 01/provincial level 02/county level 03/undetermined level resource 04; and (4) six-stage classification: good maintenance 01/partial repair 02/repair 03; no. 8 of the Xinlin institute belongs to a material cultural resource-an immovable cultural resource-a historical building-a commercial site-an undetermined level resource-is well maintained, so that the code is 020206010401;
on the basis of coding No. 8 of the New forest institute, carrying out field identification on related evaluation results and cultural information of the place, taking an element field as an example, the field identification can be related keywords of people such as ' forest badge reason ', ' Liangsi ', ' Jinyuejing ', ' Qianshou ' and the like, or related keywords of academic science such as ' Qinghua university ', ' Xinan Union great ', ' construction system ' and the like, or things keywords such as ' Mongolian monument ', ' China ' and national emblem ', ' book for protecting Beiping cultural relic construction ', or functional keywords such as ' artistic salon ', ' exhibition ', ' coffee ' and the like;
binding the code '020206010401', element fields and comprehensive evaluation results of the New forest institute No. 8, storing the code based on the New forest institute No. 8 into a cultural space database, and belonging to the classification of historical buildings; and based on the element field, the relevant city culture information of 'Xinlin institute No. 8' can be stored in the culture salon, culture exhibition, culture lecture and the subclass of community activities in the culture activity platform database.
In an embodiment, referring to fig. 7, the collecting user feedback data in step S103, analyzing the feedback data based on the digitized city culture information map, and providing a basis for formulating a city culture planning scheme based on an analysis result includes:
and S1031, performing descriptive statistical analysis according to the individual feature data, the behavior preference data, the space-time data, the attention degree data and the score data to generate a descriptive statistical analysis result.
For example, for old, young, sick and disabled barrier-free facilities, representing very satisfied visitors, 13%; representing a satisfactory guest, 23%; represents a typical guest, 15%; unsatisfactory guest, 25%; representing very unsatisfactory visitors, 24%, from which the distribution of visitors' satisfaction with the barrier-free facility can be understood.
S1032, collecting the space-time data, generating a user activity track based on the space-time data, fusing the user activity track and the digital city culture information map to generate user behavior data, and performing behavior density analysis based on the user behavior data to generate a behavior density analysis result.
Specifically, the behavior density analysis result can be displayed through thermodynamic diagrams and track maps, the thermodynamic diagrams aim at space positioning fed back by each program user at a mobile phone end, point density maps of all tourists in a culture space can be formed, the track maps aim at summarizing the activity tracks of all the tourists in a certain culture space, and the line density in the space is counted.
S1033, constructing a correlation analysis model based on the individual characteristic data, the behavior preference data and the spatio-temporal data, and performing correlation analysis based on the correlation analysis model to generate a correlation analysis result.
Specifically, the main purpose of the correlation analysis is to understand the psychological activities and behavior logic of the user about the culture space by establishing a correlation analysis model among individual characteristics, behavior preferences, sight spot selections and the like of the program user.
S1034, formulating the urban culture information planning scheme based on the descriptive statistical analysis result, the density analysis result and the correlation analysis result.
The method for analyzing the feedback data of the user is described in the following by a complete embodiment.
Example 2:
when a user uses a user terminal for the first time, account registration is required, as shown in fig. 8, personal information of the user such as name, age, sex, occupation and the like is required to be provided in the registration process, so that individual characteristics of the user are collected, a background server obtains individual characteristic data of the user, and a personal information base of the user terminal is established;
collecting preference data of a user, taking a national prisoner as an example, the user can use a search engine to search by taking the national prisoner as a keyword, as shown in figure 9, after the search, a main interface of the national prisoner emerges, and displays main relevant information of the national prisoner, specifically comprising functional blocks of text introduction, scoring evaluation, forum, travel notes, attack strategies, questionnaires and the like of the national prisoner, the user can browse information about characters, pictures, videos and the like of the national prisoner published by other users, and can publish the relevant information by the user, as shown in figure 10, specifically comprising individual evaluations of public facilities, product quality, service quality, price, supporting facilities and traffic accessibility of a visited person to the national prisoner;
aiming at the retrieval frequency and the related text publishing frequency of each scenic spot in the national prisoner and the internal scenic spots, the attention and the heat of the scenic spot can be reflected, the specific form comprises the ranking of the search amount of keywords, the access amount of pages, the text information publishing frequency and the like, and the higher the quantity value is, the higher the attention is; referring to fig. 11, for each kind of text information or evaluation of each single item of public facilities, product quality, service quality, price, supporting facilities, traffic accessibility and the like of the national prisoner, the likes and dislikes, the satisfaction, dissatisfaction and the like of the tourists are mainly reflected, and an emotion map in the national prisoner can be drawn according to the information, so that the position and the space in the national prisoner are grasped and favored by the tourists;
the descriptive statistical analysis of the image characteristics can establish the age structure of the tourists based on the age data in the individual characteristic data of all the national prisoners, such as 1-5 years old, 5%; 6-12 years old, 8%; 13-17 years old, 16%; 18-25 years old, 13%; 24% at 26-40 years old; 21% at age 41-60 years old; more than 60 percent and 13 percent. For old, young, sick and disabled barrier-free facilities in the State prison, the facilities represent very satisfied tourists, 13%; representing a satisfactory guest, 23%; represents a typical guest, 15%; unsatisfactory guest, 25%; 24% of tourists which are very unsatisfied are represented, so that the satisfaction degree distribution of the tourists on barrier-free facilities can be known, and the tourists visiting the scenic spots of the national prisoners can be transversely compared through the tourist standing points to know which scenic spot is more attractive, for example, broad industry hall, average number of standing people 3600 persons/day; worship one pavilion, average number of stationary people 3100 people/day; chongzhitang, average number of standing men 2700 persons/day;
through the GPRS positioning function of a mobile phone of a user terminal, the data of the space such as the stationing points, the action tracks and the like of a user during the visiting in the national prisoner are obtained, and a tourist distribution thermodynamic diagram (shown in figure 12) and an action track line density diagram (shown in figure 13) are formed by utilizing the data, so that the data can be respectively used for reflecting which scenic spots have more stationing persons, longer stationing time and more visiting lines have more persons in the national prisoner;
the method comprises the steps of establishing correlation analysis of individual characteristics, preference and space-time behaviors of tourists by using a multiple linear regression model, a logarithm model or a structural equation model, taking the ages of the tourists and the evaluation of the tourists on barrier-free facilities as independent variables and dependent variables, and finding out that the ages have obvious negative influence on the evaluation of the barrier-free facilities after the correlation analysis, namely the bigger the age of the tourists is, the lower the evaluation on the barrier-free facilities is, and the conclusion proves that the tourists have use requirements on the barrier-free facilities in the national prison, and the existing barrier-free facilities cannot meet the requirements and need to be further improved.
Based on the same inventive concept, the embodiment of the invention also provides a WebGIS-based urban culture information interaction system, and as the principle of the problem solved by the system is similar to that of the WebGIS-based urban culture information interaction method, the implementation of the system can refer to the implementation of the method, and repeated parts are not repeated.
Referring to fig. 14, the city culture information interaction system based on WebGIS provided by the embodiment of the present invention includes:
and the building module 141 is used for collecting city culture information and building a city culture information map database based on the city culture information.
Specifically, the city culture information map database adopts a four-layer structure design of a data layer, a management layer, a service layer and an application layer, wherein the data layer is mainly responsible for collecting and storing data, the management layer is responsible for editing, adding and deleting, inquiring and other aspects of the data by professionals, and is a link between the data layer and the service layer, the service layer provides various analysis services including spatial analysis, three-dimensional simulation and the like, the application layer mainly provides application services for relevant governments, research institutions and the public, the internal network is a basic platform of subject research according to different modes of the internal network and the external network, provides data processing, spatial analysis, drawing and other services for professional users, and the external network mainly uses a web GIS technology to realize the publicity of the data and facilitate public inquiry, supervision and the like.
Further, the city cultural information map database is divided into three sub-databases, namely a cultural space database, a cultural resource database and a cultural activity platform database, wherein the cultural space database comprises various spatial carriers for bearing cultural resources, the cultural resource database is classified according to the collection and output types of the cultural resources, and the cultural activity platform database mainly embodies various activities which occur in the cultural space and embody the characteristics of various cultural resources.
And the fusion display module 142 is configured to perform fusion display on the city culture information map database and the geographic information by using a WebGIS technology to generate a digital city culture information map.
Specifically, a city culture information three-dimensional model is built based on the city culture information map database, geographic information is collected, the geographic information is matched with the city culture information in the city culture information map database by using a WebGIS technology, the geographic information is displayed at a relative city space place of the corresponding city culture information three-dimensional model based on a matching result, each cultural relic protection unit and a cultural monomer in a city are spatially positioned in a point form, relevant information of each cultural relic protection unit is recorded, an electronic database (namely a digital city culture information map) with spatial attributes is formed, and systematic image-bearing information can be respectively presented to users and planners in a form of user terminals and background servers.
And the analysis module 143 is configured to collect user feedback data, analyze the feedback data based on the digitized city culture information map, and provide a basis for formulating a city culture planning scheme based on an analysis result.
Specifically, the user feedback data includes: individual feature data, behavior preference data, spatiotemporal data, attention data and scoring data.
Furthermore, the user terminal is used as an open source medium, feedback information of the user about the urban culture space is collected in a big data form, and the background server is used as a storage and analysis medium for collecting data, so that data and conclusion support is provided for a planner to compile a planning scheme.
Further, user feedback data is obtained through an explicit feedback behavior and an invisible feedback behavior on the user line, wherein individual characteristic data is obtained through personal information filled when a program user registers a program account, and the individual characteristic data is important data reflecting basic social and economic attributes of the user; the method comprises the steps that preference data are obtained through explicit feedback behaviors of a program user, a data source channel comprises a description of the preference degree of the user on a culture space, commenting and commenting characters issued by the user in the program, and a special questionnaire which is filled in by the user and issued based on the program, and the behavior preference data are rational selections with tendencies of the user in consideration of products and services; the method comprises the steps that space-time data are obtained based on implicit feedback behaviors of a program user, data with space attributes such as the position where the user is located and action tracks are collected through a mobile phone, the standing time of the user at a certain culture node can be calculated by combining the time of arrival positioning and the time of departure positioning, and the space-time data are data with time and space dimensions and are incidence relations of the user in the aspects of space, space and the like in an entity of a culture space; obtaining attention data through ways such as keyword retrieval frequency, preference point evaluation frequency, message quantity, number of words content release pieces and the like, wherein the attention data is used for measuring the quantity value of the keywords related to the culture space; and establishing a special database through a special page and a link to obtain scoring data, wherein the scoring data is an evaluation result of each attribute of the target culture space by a scoring system set by a user according to a program.
In one embodiment, the building module 141 includes:
and the plate division submodule 1411 is used for acquiring city culture information, performing plate division on the city culture information and generating bottom layer data.
Specifically, the city culture information plate is divided into geographic space data, a culture special topic database, ecological environment data and social and economic data; the geospatial data plays a basic positioning role and comprises a historical public map, a modern map, a satellite remote sensing image, an aerial image, a DEM (Digital Elevation Model) Elevation map and the like; the cultural heritage subject data comprises a field investigation report, related literature data, planning data and the like; the ecological environment data mainly comprises an engineering geological map, a water source conservation area, animal and plant source points or galleries and the like; the socioeconomic data mainly includes demographic data, urban data, and economic data.
Further, the city culture information is divided into blocks based on the specific content of the bottom data, and the block-divided city culture information is stored in a corresponding database.
And the classification and division submodule 1412 is configured to classify and divide the bottom layer data, generate management information, and construct a city culture information map database based on the bottom layer data and the management information.
Specifically, a main body of a city cultural information map database is composed of three major sub-databases, namely a cultural space database, a cultural resource database and a cultural activity platform database, on the basis of the main body, hierarchical classification guidance and query identification which take a keyword field as a label as a resource, unique numbers are distributed to the resources of different levels, different types and different identifications by using a multi-level extension type coding structure, and the maintenance and management of the resource database are guaranteed according to four resource management processes of information acquisition, comprehensive evaluation, auxiliary support and network release.
Further, after the bottom layer data is classified and divided, the maintenance management is carried out on the bottom layer data which needs to be classified and divided, and the specific steps are as follows: the method comprises the steps of collecting city culture information, and further verifying, supplementing and perfecting city culture data through data arrangement and field investigation on the basis of existing investigation such as cultural relic general investigation; comprehensive evaluation is carried out, mutual check of cultural resources and attributes is realized, and accurate and detailed historical information, current situation characteristics, pictures and video data are provided to assist in judging cultural value; planning auxiliary support, providing various data required by planning by a database, and performing auxiliary decision making; monitoring and network publishing assist in realizing real-time and rapid network monitoring, and network publishing is performed on culture information or protection planning by combining with a WebGIS technology, so that necessary correction and guidance are performed on the culture planning.
In one embodiment, the classification sub-module 1412 includes:
and the comprehensive evaluation unit 14121 is used for acquiring city culture information, comprehensively evaluating city culture places based on the city culture information, generating a comprehensive evaluation result, and storing the city culture information into the bottom database.
Specifically, the city space place corresponding to the city culture information is investigated on the spot, the storage condition, the utilization condition and the like of the city space place are comprehensively evaluated, and the culture information related to the city culture space place is subjected to extensive literature collection, so that sufficient materials are provided for subsequent data management and related planning.
And the encoding unit 14122 is configured to encode the city culture information based on the encoding standard of the underlying database to generate a city culture code.
Specifically, a multi-level extensible coding structure is arranged to distribute unique numbers to resources of different levels, different types and different identifications, and the large class codes and the small class codes of the object coding one-level class code classification codes are respectively expressed by digits.
And a field identification unit 14123, configured to perform field identification on the comprehensive evaluation result and the city culture information, and generate a city culture identification.
Specifically, the keyword field is used as a field identifier to serve as a hierarchical classification guide and query identifier of the resource.
A binding unit 14124, configured to bind the city culture code, the city culture identifier, and the city culture information, generate the management information, and construct a city culture information map database based on the bottom layer data and the management information.
In one embodiment, the analysis module 143 includes:
the descriptive statistical analysis sub-module 1431 is configured to perform descriptive statistical analysis according to the individual feature data, the behavior preference data, the spatio-temporal data, the attention data, and the score data, and generate a descriptive statistical analysis result.
The behavior density analysis submodule 1432 is configured to collect the spatio-temporal data, generate a user activity track based on the spatio-temporal data, fuse the user activity track with the digital city culture information map, generate user behavior data, perform behavior density analysis based on the user behavior data, and generate a behavior density analysis result.
Specifically, the behavior density analysis result can be displayed through thermodynamic diagrams and track maps, the thermodynamic diagrams aim at space positioning fed back by each program user at a mobile phone end, point density maps of all tourists in a culture space can be formed, the track maps aim at summarizing the activity tracks of all the tourists in a certain culture space, and the line density in the space is counted.
The correlation analysis sub-module 1433 is configured to construct a correlation analysis model based on the individual feature data, the behavior preference data, and the spatio-temporal data, and perform correlation analysis based on the correlation analysis model to generate a correlation analysis result.
Specifically, the main purpose of the correlation analysis is to understand the psychological activities and behavior logic of the user about the culture space by establishing a correlation analysis model among individual characteristics, behavior preferences, sight spot selections and the like of the program user.
A formulating sub-module 1434, configured to formulate the city culture information planning scheme based on the descriptive statistical analysis result, the density analysis result, and the correlation analysis result.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. The city culture information interaction method based on the WebGIS is characterized by comprising the following steps:
collecting city culture information, and constructing a city culture information map database based on the city culture information;
fusing and displaying the city culture information map database and geographic information by using a WebGIS technology to generate a digital city culture information map;
and acquiring user feedback data, analyzing the feedback data based on the digital city culture information map, and providing a basis for formulating a city culture planning scheme based on an analysis result.
2. The method of claim 1, wherein said collecting city cultural information and constructing a city cultural information map database based on said city cultural information comprises:
obtaining city culture information, and performing plate division on the city culture information to generate bottom layer data;
classifying and dividing the bottom layer data to generate management information, and constructing a city culture information map database based on the bottom layer data and the management information.
3. The method as claimed in claim 2, wherein the classifying the bottom layer data, generating management information, and constructing a city culture information map database based on the bottom layer data and the management information comprises:
acquiring city culture information, comprehensively evaluating city culture places based on the city culture information, generating a comprehensive evaluation result, and storing the city culture information into the bottom-layer database;
coding the city culture information based on the coding standard of the bottom database to generate a city culture code;
carrying out field identification on the comprehensive evaluation result and the city culture information to generate a city culture identification;
and binding the city culture code, the city culture identification and the city culture information to generate the management information, and constructing a city culture information map database based on the bottom layer data and the management information.
4. The method of claim 1, wherein the user feedback data comprises:
individual feature data, behavior preference data, spatiotemporal data, attention data and scoring data.
5. The method of claim 4, wherein the collecting user feedback data, analyzing the feedback data based on the digitized city culture information map, and providing a basis for formulating a city culture planning plan based on the analysis result comprises:
performing descriptive statistical analysis according to the individual feature data, the behavior preference data, the time-space data, the attention data and the score data to generate a descriptive statistical analysis result;
collecting the spatio-temporal data, generating a user activity track based on the spatio-temporal data, fusing the user activity track with the digital city culture information map to generate user behavior data, and performing behavior density analysis based on the user behavior data to generate a behavior density analysis result;
constructing a correlation analysis model based on the individual characteristic data, the behavior preference data and the spatio-temporal data, and performing correlation analysis based on the correlation analysis model to generate a correlation analysis result;
and formulating the urban culture information planning scheme based on the descriptive statistical analysis result, the density analysis result and the correlation analysis result.
6. The city culture information interaction system based on the WebGIS is characterized by comprising the following components:
the building module is used for collecting city culture information and building a city culture information map database based on the city culture information;
the fusion display module is used for performing fusion display on the city culture information map database and the geographic information by using a WebGIS technology to generate a digital city culture information map;
and the analysis module is used for acquiring user feedback data, analyzing the feedback data based on the digital city culture information map, and providing a basis for formulating a city culture planning scheme based on an analysis result.
7. The system of claim 6, wherein the build module comprises:
the plate division submodule is used for acquiring city culture information, performing plate division on the city culture information and generating bottom layer data;
and the classification and division submodule is used for classifying and dividing the bottom layer data to generate management information, and constructing an urban culture information map database based on the bottom layer data and the management information.
8. The system of claim 7, wherein the classification partitioning sub-module comprises:
the comprehensive evaluation unit is used for acquiring city culture information, comprehensively evaluating city culture places based on the city culture information, generating a comprehensive evaluation result and storing the city culture information into the bottom database;
the encoding unit is used for encoding the urban culture information based on the encoding standard of the bottom database to generate an urban culture code;
the field identification unit is used for carrying out field identification on the comprehensive evaluation result and the city culture information to generate a city culture identification;
and the binding unit is used for binding the city culture code, the city culture identifier and the city culture information to generate the management information, and constructing a city culture information map database based on the bottom layer data and the management information.
9. The system of claim 6, wherein the user feedback data comprises:
individual feature data, behavior preference data, spatiotemporal data, attention data and scoring data.
10. The system of claim 9, wherein the analysis module comprises:
the descriptive statistical analysis submodule is used for performing descriptive statistical analysis according to the individual characteristic data, the behavior preference data, the space-time data, the attention data and the grading data to generate a descriptive statistical analysis result;
the behavior density analysis submodule is used for acquiring the space-time data, generating a user activity track based on the space-time data, fusing the user activity track and the digital city culture information map to generate user behavior data, and performing behavior density analysis based on the user behavior data to generate a behavior density analysis result;
the correlation analysis submodule is used for constructing a correlation analysis model based on the individual characteristic data, the behavior preference data and the spatio-temporal data, performing correlation analysis based on the correlation analysis model and generating a correlation analysis result;
and the formulating submodule is used for formulating the urban culture information planning scheme based on the descriptive statistical analysis result, the density analysis result and the correlation analysis result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110732169.6A CN113570198B (en) | 2021-06-29 | 2021-06-29 | WebGIS-based city culture information interaction method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110732169.6A CN113570198B (en) | 2021-06-29 | 2021-06-29 | WebGIS-based city culture information interaction method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113570198A true CN113570198A (en) | 2021-10-29 |
| CN113570198B CN113570198B (en) | 2022-09-23 |
Family
ID=78163097
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110732169.6A Active CN113570198B (en) | 2021-06-29 | 2021-06-29 | WebGIS-based city culture information interaction method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113570198B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114494616A (en) * | 2021-12-24 | 2022-05-13 | 浙江中测新图地理信息技术有限公司 | Real-time three-dimensional simulation method for multi-source passenger flow data of scenic spot |
| CN117218299A (en) * | 2023-11-08 | 2023-12-12 | 北京睿呈时代信息科技有限公司 | Data-driven three-dimensional area iceberg thermodynamic diagram processing method and system |
| CN117474501A (en) * | 2023-12-27 | 2024-01-30 | 厦门精图信息技术有限公司 | Cultural relic census system and cultural relic census method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106683020A (en) * | 2016-11-17 | 2017-05-17 | 安徽华博胜讯信息科技股份有限公司 | Public culture service supply system based on GIS technology |
| CN107704583A (en) * | 2017-09-30 | 2018-02-16 | 国信优易数据有限公司 | Data visualization method, device, computer equipment and readable storage medium storing program for executing |
| CN110018742A (en) * | 2019-04-03 | 2019-07-16 | 北京八亿时空信息工程有限公司 | A kind of network virtual touring system and its construction method |
| CN110765104A (en) * | 2019-09-29 | 2020-02-07 | 同济大学 | Method and system for constructing dynamic database of urban landscaping plants |
| CN111552758A (en) * | 2020-04-30 | 2020-08-18 | 南京林业大学 | Landscape and scenic spot database based on GIS technology and construction method thereof |
| CN112231381A (en) * | 2020-10-20 | 2021-01-15 | 青岛腾远设计事务所有限公司 | Spatial data information collaboration platform based on WEBGIS and construction method thereof |
-
2021
- 2021-06-29 CN CN202110732169.6A patent/CN113570198B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106683020A (en) * | 2016-11-17 | 2017-05-17 | 安徽华博胜讯信息科技股份有限公司 | Public culture service supply system based on GIS technology |
| CN107704583A (en) * | 2017-09-30 | 2018-02-16 | 国信优易数据有限公司 | Data visualization method, device, computer equipment and readable storage medium storing program for executing |
| CN110018742A (en) * | 2019-04-03 | 2019-07-16 | 北京八亿时空信息工程有限公司 | A kind of network virtual touring system and its construction method |
| CN110765104A (en) * | 2019-09-29 | 2020-02-07 | 同济大学 | Method and system for constructing dynamic database of urban landscaping plants |
| CN111552758A (en) * | 2020-04-30 | 2020-08-18 | 南京林业大学 | Landscape and scenic spot database based on GIS technology and construction method thereof |
| CN112231381A (en) * | 2020-10-20 | 2021-01-15 | 青岛腾远设计事务所有限公司 | Spatial data information collaboration platform based on WEBGIS and construction method thereof |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114494616A (en) * | 2021-12-24 | 2022-05-13 | 浙江中测新图地理信息技术有限公司 | Real-time three-dimensional simulation method for multi-source passenger flow data of scenic spot |
| CN114494616B (en) * | 2021-12-24 | 2022-08-30 | 浙江中测新图地理信息技术有限公司 | Real-time three-dimensional simulation method for multi-source passenger flow data of scenic spot |
| CN117218299A (en) * | 2023-11-08 | 2023-12-12 | 北京睿呈时代信息科技有限公司 | Data-driven three-dimensional area iceberg thermodynamic diagram processing method and system |
| CN117218299B (en) * | 2023-11-08 | 2024-03-01 | 北京睿呈时代信息科技有限公司 | Data-driven three-dimensional area iceberg thermodynamic diagram processing method and system |
| CN117474501A (en) * | 2023-12-27 | 2024-01-30 | 厦门精图信息技术有限公司 | Cultural relic census system and cultural relic census method |
| CN117474501B (en) * | 2023-12-27 | 2024-03-26 | 厦门精图信息技术有限公司 | Cultural relic census system and cultural relic census method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113570198B (en) | 2022-09-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| De Nadai et al. | The death and life of great Italian cities: a mobile phone data perspective | |
| Quercia et al. | The digital life of walkable streets | |
| CN113570198B (en) | WebGIS-based city culture information interaction method and system | |
| Xu et al. | Characterizing destination networks through mobility traces of international tourists—A case study using a nationwide mobile positioning dataset | |
| Lyu et al. | Big data in action: An overview of big data studies in tourism and hospitality literature | |
| Pucci et al. | Mapping urban practices through mobile phone data | |
| Shelton et al. | The nature of neighborhoods: Using big data to rethink the geographies of Atlanta’s neighborhood planning unit system | |
| CN105183869A (en) | Building knowledge mapping database and construction method thereof | |
| Yang et al. | Exploring human mobility patterns using geo-tagged social media data at the group level | |
| CN103593349A (en) | Movement position analysis method in sense network environment | |
| Greger | Spatio‐temporal building population estimation for highly urbanized areas using GIS | |
| Hu et al. | Using big data and social network analysis for cultural tourism planning in Hakka villages | |
| Xiao et al. | Nine-nine-six work system and people’s movement patterns: using big data sets to analyse overtime working in Shanghai | |
| Murad | Creating a GIS application for local health care planning in Saudi Arabia | |
| Tu et al. | Exploring metro vibrancy and its relationship with built environment: a cross-city comparison using multi-source urban data | |
| Malleson | Agent-based modelling of burglary | |
| Lansley et al. | Challenges to representing the population from new forms of consumer data | |
| CN117217872A (en) | Method for intelligently generating scenic spot playing scheme based on tourist portrait | |
| Dumedah | Address points of landmarks and paratransit services as a credible reference database for geocoding | |
| Martinez et al. | A geographic and mixed methods approach to capture unequal quality-of-life conditions | |
| García-Esparza et al. | Examining urban polarization in five Spanish historic cities through online datasets and onsite perceptions | |
| Niu et al. | Integrating multiple data to identify building functions in China’s urban villages | |
| Chen et al. | Evaluating urban vitality based on geospatial big data in Xiamen Island, China | |
| Zhao et al. | Weaving the net: Making a smart city through data workers in Shenzhen | |
| Kurowska et al. | The use of gravity model in spatial planning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |