CN117076467A - Smart city identification method, system, equipment and medium based on MA system - Google Patents

Smart city identification method, system, equipment and medium based on MA system Download PDF

Info

Publication number
CN117076467A
CN117076467A CN202311345438.9A CN202311345438A CN117076467A CN 117076467 A CN117076467 A CN 117076467A CN 202311345438 A CN202311345438 A CN 202311345438A CN 117076467 A CN117076467 A CN 117076467A
Authority
CN
China
Prior art keywords
data
city
urban
identification
source
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
Application number
CN202311345438.9A
Other languages
Chinese (zh)
Other versions
CN117076467B (en
Inventor
马晓亮
陈赟
彭思迪
王芳芳
方杰雨
张耀仁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Gongcheng Management Consulting Co ltd
Original Assignee
Gongcheng Management Consulting Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Gongcheng Management Consulting Co ltd filed Critical Gongcheng Management Consulting Co ltd
Priority to CN202311345438.9A priority Critical patent/CN117076467B/en
Publication of CN117076467A publication Critical patent/CN117076467A/en
Application granted granted Critical
Publication of CN117076467B publication Critical patent/CN117076467B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2282Tablespace storage structures; Management thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23Updating
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A30/00Adapting or protecting infrastructure or their operation
    • Y02A30/60Planning or developing urban green infrastructure

Abstract

The application relates to the technical field of smart city construction, in particular to a smart city identification method, a system, equipment and a medium based on an MA system, wherein the smart city identification method based on the MA system comprises the steps of obtaining city basic data in a smart city, obtaining city feature data according to the basic data, and generating city space elements based on the city feature data; inputting the urban space elements into a preset urban identification database to obtain a plurality of urban source data and coding data for identifying the urban source data; forming an urban data set table based on the coded data and the urban source data arrangement set, and storing the urban data set table in a preset storage module; and setting an index identifier based on the city data set table, and taking the index identifier as a data query column. The method has the effects of realizing comprehensive integration and sharing of the data of the smart city and promoting the construction and development of the smart city.

Description

Smart city identification method, system, equipment and medium based on MA system
Technical Field
The application relates to the technical field of smart city construction, in particular to a smart city identification method, system, equipment and medium based on an MA system.
Background
Along with the continuous progress of urban development and information technology, digital projects are used for constructing and managing cities, smart cities become the trend of urban construction development, and the smart cities are used for interconnecting, intelligently managing and optimally regulating various urban elements and systems by means of advanced information technology and communication technology, internet of things, big data analysis, artificial intelligence and other technical means.
However, in the smart city, the systems and subsystems are mutually independent, and the data formats, standards and interfaces between the different systems and subsystems are different, so that the situations of data island and difficulty in sharing occur, and the interconnection and intercommunication of information and the data integration of the cross-systems are limited, so that a certain improvement space exists.
Disclosure of Invention
In order to realize comprehensive integration and sharing of data of smart cities and promote the development of smart city construction, the application provides a smart city identification method, a system, equipment and a medium based on an MA system.
The first object of the present application is achieved by the following technical solutions:
a smart city identification method based on an MA system comprises the following steps:
Obtaining city basic data in a smart city, obtaining city feature data according to the basic data, and generating city space elements based on the city feature data;
inputting the urban space elements into a preset urban identification database to obtain a plurality of urban source data and coding data for identifying the urban source data;
forming an urban data set table based on the coded data and the urban source data arrangement set, and storing the urban data set table in a preset storage module;
and setting an index identifier based on the city data set table, and taking the index identifier as a data query column.
Through adopting above-mentioned technical scheme, in the construction of smart city, obtain the city basic data that each system or each department gathered in the smart city, extract city characteristic data through the city basic data who obtains, city characteristic data is various city category data in the smart city construction, like city level administrative district, community administrative district, urban road, multiple category data such as building, generate corresponding urban space factor according to city characteristic data, urban space factor is various geography and humane factor in the smart city, generate corresponding urban space factor, be convenient for smart city construction development, input the urban space factor who obtains into the city identification database who presets, utilize the identification code rule that presets in the city identification database, carry out the identification code to urban space factor, obtain a plurality of city source data and be used for the coding data of sign city source data, and then can carry out same identification code to the city data of different or system in the smart city, arrange the collection of coding data and city source data and form city data set table, store in preset storage module, realize the comprehensive integration and the sharing of smart city in the smart city, the data is convenient for searching for the city index map data, the search is carried out in the quick search index map is carried out to the city is shared data, the search is further carried out to the city is required, the index is required to be shared to the city data is fast to the index is moved to the map to the city is moved to the map.
The present application may be further configured in a preferred example to: inputting the urban space elements into a preset urban identification database to obtain a plurality of urban source data and coding data for identifying the urban source data, wherein the method specifically comprises the following steps of:
inputting the urban space elements into a preset urban identification database to generate an urban data processing request;
preprocessing a pre-trained city identification database according to the city data processing request to obtain a plurality of sets of city identification coding rules conforming to the city data processing request;
and carrying out adaptation on the urban space elements based on a plurality of sets of urban identification coding rules, and selecting the urban identification coding rules with the optimal adaptation degree to carry out data identification coding on the urban space elements to obtain a plurality of urban source data and coding data for identifying the urban source data.
By adopting the technical scheme, after the urban space elements in the smart city are obtained, the urban space elements are input into the preset urban identification database to generate the urban data processing request, the urban identification database is initialized according to the urban data processing request, so that the obtained urban identification coding rules meet the identification coding requirements of the current urban data, the suitability of the urban identification database and the urban space elements is improved, the urban space elements are subjected to data identification coding by selecting the urban identification coding rules with the optimal adaptation degree based on the plurality of sets of urban identification coding rules and the urban space elements, and the urban space elements can be subjected to identification coding aiming at different types of urban space elements, so that the urban data can be conveniently pushed to be comprehensively integrated and shared.
The present application may be further configured in a preferred example to: preprocessing a city identification database trained in advance according to the city data processing request to obtain a plurality of sets of city identification coding rules conforming to the city data processing request, wherein the city identification coding rules specifically comprise:
constructing a data thread pool matched with the urban space element according to the urban data processing request;
reclassifying city identification coding rules in the city identification database to obtain data identification coding classes matched with the city space elements;
and respectively obtaining the mapping relation between the urban space elements and the data thread pool and the data identification coding class, and inputting the data identification coding class into the data thread pool according to the mapping relation to obtain an urban identification coding rule which is matched with the urban data processing request.
By adopting the technical scheme, the adaptive data thread pool is constructed in the urban identification database through the urban space elements in the urban data processing request, the fitting degree of the urban space elements and the data thread pool is improved, the urban identification coding rule is re-divided according to the current urban space elements, so that the data identification coding class is matched with the urban space elements, the data identification coding class is mapped into the data thread pool to operate through the mapping relation between the urban space elements and the data thread pool, and the data thread pool is correspondingly mobilized to carry out parallel processing on the urban space elements, the processing order of the urban space elements is improved, the data thread pool is controlled to carry out identification coding processing on the urban space elements through the urban identification coding rule, and therefore the efficiency of identification coding on urban data is improved.
The present application may be further configured in a preferred example to: after the city data set is formed based on the encoded data and the city source data arrangement set, and the city data set table is stored in a preset storage module, the smart city identification method based on the MA system further comprises the following steps:
obtaining city change data, and obtaining a change data type based on the city change data, wherein the change data type comprises city update data and city increase data, and performing data change processing on a city data set table based on the city change data;
and if the change data type is city addition data, acquiring city addition source data and identification addition data for identifying the city addition source data based on the city addition data, and adding the city addition source data into a city data integration table according to the identification addition data.
By adopting the technical scheme, in the smart city construction process, along with the development of city construction, the situation of city data change can continuously appear, and then when city change data is obtained in real time, the city change data is analyzed, the change data type comprises city update data and city increase data, the city increase data refers to the data generated under the condition of newly-built city construction, such as new building in the city, newly-increased administrative areas and the like, the city update data refers to the data generated under the condition of updating in the city, such as road renovation in the city, updating of city personnel and the like, a proper change processing scheme is adopted for the city data integration table according to the type of the city change data, if the type of the city change data is city increase data, the city increase data is analyzed, city increase source data and identifier increase data for identifying the city increase source data are obtained, the city increase source data is added into a city data set table by using the identifier increase data to store, and the function of increasing the city data in the smart city is realized.
The present application may be further configured in a preferred example to: after the obtaining city change data and obtaining a change data type based on the city change data, wherein the change data type comprises city update data and city addition data, and the data change processing is performed on the city data set table based on the city change data, the smart city identification method based on the MA system further comprises the following steps:
if the city change data is city update data, acquiring city update source data and identification update data for identifying the city update source data based on the city update data;
and adding the city update source data into a city data integration table according to the identification update data so as to replace the corresponding city source data.
By adopting the technical scheme, when the acquired city change data is city update data, the city update data is analyzed to obtain city update source data and identification update data for identifying the city update source data, the identification update data is utilized to locate the city source data to be updated in the city data integration table, the city update source data is input into the city data integration table to replace the corresponding city source data in the city data integration table, and the updating function of the data in the smart city is completed.
The second object of the present application is achieved by the following technical solutions:
a MA-based smart city identification system, the MA-based smart city identification system comprising:
the urban space element generation module is used for acquiring urban basic data in the smart city, acquiring urban characteristic data according to the basic data and generating urban space elements based on the urban characteristic data;
the city data identification coding module is used for inputting the city space elements into a preset city identification database to obtain a plurality of city source data and coding data for identifying the city source data;
the city data set table construction module is used for forming a city data set table based on the coded data and the city source data arrangement set and storing the city data set table in a preset storage module;
and the index identification module is used for setting index identifications based on the city data set table, and taking the index identifications as data query columns.
Through adopting above-mentioned technical scheme, in the construction of smart city, obtain the city basic data that each system or each department gathered in the smart city, extract city characteristic data through the city basic data who obtains, city characteristic data is various city category data in the smart city construction, like city level administrative district, community administrative district, urban road, multiple category data such as building, generate corresponding urban space factor according to city characteristic data, urban space factor is various geography and humane factor in the smart city, generate corresponding urban space factor, be convenient for smart city construction development, input the urban space factor who obtains into the city identification database who presets, utilize the identification code rule that presets in the city identification database, carry out the identification code to urban space factor, obtain a plurality of city source data and be used for the coding data of sign city source data, and then can carry out same identification code to the city data of different or system in the smart city, arrange the collection of coding data and city source data and form city data set table, store in preset storage module, realize the comprehensive integration and the sharing of smart city in the smart city, the data is convenient for searching for the city index map data, the search is carried out in the quick search index map is carried out to the city is shared data, the search is further carried out to the city is required, the index is required to be shared to the city data is fast to the index is moved to the map to the city is moved to the map.
The third object of the present application is achieved by the following technical solutions:
a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the MA architecture based smart city identification method described above when the computer program is executed.
The fourth object of the present application is achieved by the following technical solutions:
a computer readable storage medium storing a computer program which when executed by a processor performs the steps of the MA-system based smart city identification method described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. in the process of constructing the smart city, city basic data collected by each system or each department in the smart city is obtained, city characteristic data is extracted through the obtained city basic data, the city characteristic data refers to various city category data in the smart city construction, such as various city class administrative areas, community administrative areas, city roads, buildings and the like, corresponding city space elements are generated according to the city characteristic data, the city space elements refer to various geographic and humane elements in the smart city, the corresponding city space elements are generated, the development of the smart city construction is facilitated, the obtained city space elements are input into a preset city identification database, the preset identification code rules in the city identification database are utilized, the method comprises the steps of carrying out identification coding on urban space elements to obtain a plurality of urban source data and coded data for identifying the urban source data, carrying out the same identification coding on the urban data of different departments or systems in the smart city, arranging and collecting the coded data and the urban source data to form a city data integration table, storing the city data integration table in a preset storage module, realizing comprehensive integration and sharing of the data of the smart city, facilitating data sharing, setting index identifiers for the city data integration table, taking the index identifiers as data query columns, facilitating quick retrieval of the required city data when searching and sharing the city data, and further promoting construction and development of the smart city;
2. After urban space elements in a smart city are obtained, the urban space elements are input into a preset urban identification database, a urban data processing request is generated, the urban identification database is initialized according to the urban data processing request, the obtained urban identification coding rules meet the identification coding requirements of current urban data, the suitability of the urban identification database and the urban space elements is improved, the urban space elements are subjected to data identification coding by selecting the urban identification coding rules with the optimal adaptation degree based on the adaptation of a plurality of sets of urban identification coding rules and the urban space elements, so that identification coding can be carried out on different types of urban space elements, and the urban data can be comprehensively integrated and shared conveniently;
3. the method comprises the steps of constructing an adaptive data thread pool in a city identification database through city space elements in a city data processing request, improving the fitting degree of the city space elements and the data thread pool, re-dividing city identification coding rules according to current city space elements to fit data identification coding types and city space elements, mapping the data identification coding types to the data thread pool through mapping relations among the city space elements and the data thread pool, the city space elements and the data identification coding types, and then moving the corresponding data thread pool to conduct parallel processing on the city space elements, improving the processing order of the city space elements, controlling the data thread pool to conduct identification coding processing on the city space elements through the city identification coding rules, and therefore conducting identification coding efficiency on city data.
Drawings
FIG. 1 is a flow chart of a smart city identification method based on MA architecture in accordance with one embodiment of the application;
FIG. 2 is a flowchart showing the implementation of step S20 in the MA-based smart city identification method according to an embodiment of the present application;
FIG. 3 is a flowchart showing the implementation of step S22 in the MA-based smart city identification method according to an embodiment of the present application;
FIG. 4 is a flow chart of another implementation of a MA-based smart city identification method in accordance with one embodiment of the present application;
FIG. 5 is a flowchart illustrating an implementation of step S301 in a MA-based smart city identification method according to an embodiment of the present application;
FIG. 6 is a schematic block diagram of a MA-based smart city identification system in accordance with an embodiment of the application;
FIG. 7 is a schematic diagram of a computer device in an embodiment of the application.
Detailed Description
The present application will be described in further detail with reference to the accompanying drawings.
In one embodiment, as shown in fig. 1, the application discloses a smart city identification method based on an MA system, which specifically comprises the following steps:
s10: urban basic data in the smart city is acquired, urban feature data is acquired according to the basic data, and urban space elements are generated based on the urban feature data.
Specifically, in the process of building a smart city, city basic data collected by each system or each department in the smart city is obtained, city characteristic data is extracted through the obtained city basic data, the city characteristic data refers to various city type data in the smart city construction, such as various types of data of a city level administrative district, a community administrative district, a city road, a building and the like, corresponding city space elements are generated according to the city characteristic data, and the city space elements refer to various geographic and humane elements in the smart city.
S20: and inputting the urban space elements into a preset urban identification database to obtain a plurality of urban source data and coding data for identifying the urban source data.
Specifically, the obtained urban space elements are input into a preset urban identification database, identification codes are carried out on the urban space elements by utilizing an identification code rule preset in the urban identification database, so that a plurality of urban source data and coded data for identifying the urban source data are obtained, and further, the urban data of different departments or systems in the smart city can be subjected to the same identification codes.
S30: and sorting and collecting the coded data and the urban source data to form an urban data set table, and storing the urban data set table in a preset storage module.
Specifically, the coded data and the city source data are arranged and collected to form a city data integration table, and the city data integration table is stored in a preset storage module, so that the data of the smart city are comprehensively integrated and shared, and the data sharing is facilitated.
S40: and setting an index identifier based on the city data set table, and taking the index identifier as a data query column.
Specifically, index marks are set for the city data integration table, and the index marks are used as data query columns, so that when city data searching and sharing are carried out, required city data can be quickly searched, and construction and development of smart cities are further promoted.
In this embodiment, in the process of building a smart city, city basic data collected by each system or each department in the smart city is obtained, city characteristic data is extracted through the obtained city basic data, the city characteristic data refers to various city class data in the smart city building, such as various city class administrative areas, community administrative areas, urban roads, buildings and the like, corresponding city space elements are generated according to the city characteristic data, the city space elements refer to various geographic and humane elements in the smart city, corresponding city space elements are generated, the development of the smart city building is facilitated, the obtained city space elements are input into a preset city identification database, identification codes are carried out on the city space elements by utilizing preset identification code rules in the city identification database, so that a plurality of city source data and coded data for identifying the city source data are obtained, the city source data in different departments or systems in the smart city can be coded in the same identification mode, the coded data and the city source data are collected into a city data set table, the corresponding city space elements are generated according to the city characteristic data, the city space elements refer to various geographic and human elements in the smart city, the smart city space elements are comprehensively integrated and shared, the city space elements are conveniently and shared, and are further arranged in the city index table, and the city map is further searched for searching and the city data is conveniently and searched for the city map data.
In one embodiment, as shown in fig. 2, in step S20, the urban space element is input into a preset urban identification database to obtain a plurality of urban source data and encoded data for identifying the urban source data, which specifically includes:
s21: and inputting the urban space elements into a preset urban identification database to generate an urban data processing request.
Specifically, after obtaining the urban space elements in the smart city, inputting the urban space elements into a preset urban identification database to generate a city data processing request.
S22: and preprocessing the city identification database trained in advance according to the city data processing request to obtain a plurality of sets of city identification coding rules conforming to the city data processing request.
Specifically, the city identification database is initialized according to the city data processing request, so that the obtained city identification coding rule meets the identification coding requirement of the current city data, and the suitability of the city identification database and city space elements is improved.
S23: and carrying out adaptation on the urban space elements based on a plurality of sets of urban identification coding rules, and selecting the urban identification coding rules with the optimal adaptation degree to carry out data identification coding on the urban space elements to obtain a plurality of urban source data and coding data for identifying the urban source data.
Specifically, the urban space elements are adapted based on a plurality of sets of urban identification coding rules, and the urban identification coding rules with the optimal adaptation degree are selected to carry out data identification coding on the urban space elements, so that identification coding can be carried out aiming at different types of urban space elements, and further, the urban data can be conveniently and comprehensively integrated and shared.
In one embodiment, as shown in fig. 3, in step S22, a pre-trained city identification database is preprocessed according to the city data processing request, so as to obtain a plurality of sets of city identification coding rules conforming to the city data processing request, which specifically includes:
s221: and constructing a data thread pool matched with the urban space element according to the urban data processing request.
Specifically, according to the city data processing request for performing identification coding on the city space elements, an initial thread pool in the city identification database is initialized, for example, according to the type of each city data in the city space elements, for example, various categories such as a city level administrative district, a community administrative district, a city road, a building and the like, parameters of the initial thread pool in the city identification database are redistributed, and the distributed data thread pool is matched with the city space elements.
S222: and re-dividing the city identification coding rules in the city identification database to obtain the data identification coding class which is matched with the city space elements.
Specifically, according to the urban data processing request, the urban identification coding rules in the urban identification database are re-divided, for example, according to the element types of each group of urban elements in the urban space elements, the initial urban identification coding rules in the urban identification database are reset, for example, according to the type of each urban space element, the urban identification coding rules are divided into various categories such as municipal administration areas, community administration areas, urban roads, buildings and the like, so that the urban identification coding rules after re-division in the urban identification database are matched with the urban space elements.
S223: and respectively obtaining the mapping relation between the urban space elements and the data thread pool and the data identification coding class, and inputting the data identification coding class into the data thread pool according to the mapping relation to obtain an urban identification coding rule which is matched with the urban data processing request.
Specifically, according to the matching degree of the urban space elements and the data thread pools, a one-to-one mapping relation between the urban space elements and the corresponding data thread pools is constructed, for example, the urban space elements of the urban road class are mapped into the data thread pools of the identification code processing urban road class; according to the matching degree between the urban space elements and the data identification coding classes, a one-to-one mapping relation between the urban space elements and the data identification coding classes is constructed, for example, the urban space elements of the urban road classes are mapped into the urban road classes responsible for identification coding processing, the data identification coding classes are mapped into the corresponding data thread pools to operate according to the mapping relation between the urban space elements and the data thread pools and the data identification coding classes, for example, the urban space elements of the urban road classes are used as middleware, the urban road classes responsible for identification coding processing are mapped into the corresponding data thread pools for processing the urban road classes, and therefore the mapping and operation relation between the data identification coding classes and the data thread pools are used as urban identification coding rules, and the data thread pools are controlled to carry out identification coding processing on the mapped data identification coding classes according to the urban identification coding rules.
In one embodiment, as shown in fig. 4, after step S30, that is, after the city data set is formed based on the encoded data and the city source data arrangement set, and stored in the preset storage module, the smart city identification method based on the MA system further includes:
s301: obtaining city change data, and obtaining a change data type based on the city change data, wherein the change data type comprises city update data and city increase data, and performing data change processing on a city data set table based on the city change data.
In this embodiment, the city change data refers to data obtained by changing basic city data in a smart city, the city addition data refers to data generated when a new construction is performed on the city, such as new building in the city, newly added administrative areas, etc., and the city update data refers to data generated when update occurs in the city, such as road update in the city, city personnel update, etc.
Specifically, in the smart city construction process, along with the development of city construction, the situation of city data change can continuously appear, and when city change data is obtained in real time, the city change data is analyzed to obtain a change data type, the change data type comprises city update data and city increase data, and a proper change processing scheme is adopted for a city data integration table according to the type of the city change data.
S302: and if the change data type is city addition data, acquiring city addition source data and identification addition data for identifying the city addition source data based on the city addition data, and adding the city addition source data into a city data integration table according to the identification addition data.
Specifically, when the type of the city change data is city addition data, the city addition data is analyzed to obtain city addition source data and identification addition data for identifying the city addition source data, and the city addition source data is added into a city data integration table to be stored by utilizing the identification addition data, so that the function of adding and changing the data in the smart city is realized.
In one embodiment, as shown in fig. 5, after step S301, the smart city identification method based on the MA system further includes:
s303: and if the city change data is city update data, acquiring city update source data and identification update data for identifying the city update source data based on the city update data.
S304: and adding the city update source data into a city data integration table according to the identification update data so as to replace the corresponding city source data.
Specifically, when the acquired city change data is city update data, the city update data is analyzed to obtain city update source data and identification update data for identifying the city update source data, the identification update data is utilized to locate the city source data to be updated in the city data integration table, the city update source data is input into the city data integration table to replace the corresponding city source data in the city data integration table, and the updating function of the data in the smart city is completed.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
In one embodiment, a smart city identification device based on an MA system is provided, where the smart city identification device based on the MA system corresponds to the smart city identification method based on the MA system in the foregoing embodiment one by one. As shown in fig. 6, the smart city identification device based on the MA system includes a city space element generating module, a city data identification coding module, a city data integration table constructing module and an index identification module. The functional modules are described in detail as follows:
The urban space element generation module is used for acquiring urban basic data in the smart city, acquiring urban characteristic data according to the basic data and generating urban space elements based on the urban characteristic data;
the city data identification coding module is used for inputting the city space elements into a preset city identification database to obtain a plurality of city source data and coding data for identifying the city source data;
the city data set table construction module is used for forming a city data set table based on the coded data and the city source data arrangement set and storing the city data set table in a preset storage module;
and the index identification module is used for setting index identifications based on the city data set table, and taking the index identifications as data query columns.
Optionally, the city data identification coding module includes:
the urban data processing request generation submodule is used for inputting the urban space elements into a preset urban identification database to generate an urban data processing request;
the city identification coding rule generation sub-module is used for preprocessing a city identification database trained in advance according to the city data processing request to obtain a plurality of sets of city identification coding rules conforming to the city data processing request;
And the adaptation sub-module is used for adapting with the urban space elements based on a plurality of sets of urban identification coding rules, selecting the urban identification coding rules with the optimal adaptation degree, and carrying out data identification coding on the urban space elements to obtain a plurality of urban source data and coded data for identifying the urban source data.
Optionally, the smart city identification system based on the MA architecture further includes:
the city data changing module is used for obtaining city changing data and obtaining changing data types based on the city changing data, wherein the changing data types comprise city updating data and city adding data, and the city data collecting table is subjected to data changing processing based on the city changing data;
the city data adding processing module is used for obtaining city adding source data and identification adding data for identifying the city adding source data based on the city adding data if the change data type is the city adding data, and adding the city adding source data into a city data integration table according to the identification adding data;
the city data updating processing module is used for acquiring city updating source data and identification updating data for identifying the city updating source data based on the city updating data if the city changing data is city updating data, and adding the city updating source data into a city data integration table according to the identification updating data so as to replace the corresponding city source data
Specific limitations regarding the MA-based smart city identification device can be found in the above limitations regarding the MA-based smart city identification method, and will not be described in detail herein. The modules in the MA-based smart city identification device may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing city data in the development process of the smart city construction. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a smart city identification method based on the MA architecture.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program:
obtaining city basic data in a smart city, obtaining city feature data according to the basic data, and generating city space elements based on the city feature data;
inputting the urban space elements into a preset urban identification database to obtain a plurality of urban source data and coding data for identifying the urban source data;
forming an urban data set table based on the coded data and the urban source data arrangement set, and storing the urban data set table in a preset storage module;
and setting an index identifier based on the city data set table, and taking the index identifier as a data query column.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
obtaining city basic data in a smart city, obtaining city feature data according to the basic data, and generating city space elements based on the city feature data;
Inputting the urban space elements into a preset urban identification database to obtain a plurality of urban source data and coding data for identifying the urban source data;
forming an urban data set table based on the coded data and the urban source data arrangement set, and storing the urban data set table in a preset storage module;
and setting an index identifier based on the city data set table, and taking the index identifier as a data query column.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims (10)

1. The smart city identification method based on the MA system is characterized by comprising the following steps of:
obtaining city basic data in a smart city, obtaining city feature data according to the basic data, and generating city space elements based on the city feature data;
Inputting the urban space elements into a preset urban identification database to obtain a plurality of urban source data and coding data for identifying the urban source data;
forming an urban data set table based on the coded data and the urban source data arrangement set, and storing the urban data set table in a preset storage module;
and setting an index identifier based on the city data set table, and taking the index identifier as a data query column.
2. The MA-based smart city identification method of claim 1, wherein the inputting the city space element into a preset city identification database to obtain a plurality of city source data and encoded data for identifying the city source data specifically includes:
inputting the urban space elements into a preset urban identification database to generate an urban data processing request;
preprocessing a pre-trained city identification database according to the city data processing request to obtain a plurality of sets of city identification coding rules conforming to the city data processing request;
and carrying out adaptation on the urban space elements based on a plurality of sets of urban identification coding rules, and selecting the urban identification coding rules with the optimal adaptation degree to carry out data identification coding on the urban space elements to obtain a plurality of urban source data and coding data for identifying the urban source data.
3. The MA-system-based smart city identification method of claim 2, wherein the preprocessing the pre-trained city identification database according to the city data processing request to obtain a plurality of city identification coding rules conforming to the city data processing request specifically comprises:
constructing a data thread pool matched with the urban space element according to the urban data processing request;
reclassifying city identification coding rules in the city identification database to obtain data identification coding classes matched with the city space elements;
and respectively obtaining the mapping relation between the urban space elements and the data thread pool and the data identification coding class, and inputting the data identification coding class into the data thread pool according to the mapping relation to obtain an urban identification coding rule which is matched with the urban data processing request.
4. The MA-based smart city identification method of claim 1, further comprising, after the sorting set based on the encoded data and the city source data to form a city data set table and storing the city data set table in a preset storage module:
Obtaining city change data, and obtaining a change data type based on the city change data, wherein the change data type comprises city update data and city increase data, and performing data change processing on a city data set table based on the city change data;
and if the change data type is city addition data, acquiring city addition source data and identification addition data for identifying the city addition source data based on the city addition data, and adding the city addition source data into a city data integration table according to the identification addition data.
5. The MA-based smart city identification method of claim 4, wherein after the obtaining city change data, obtaining a change data type based on the city change data, wherein the change data type includes city update data and city add data, and performing data change processing on a city data integration table based on the city change data, the MA-based smart city identification method further comprises:
if the city change data is city update data, acquiring city update source data and identification update data for identifying the city update source data based on the city update data;
And adding the city update source data into a city data integration table according to the identification update data so as to replace the corresponding city source data.
6. A MA-based smart city identification system, the MA-based smart city identification system comprising:
the urban space element generation module is used for acquiring urban basic data in the smart city, acquiring urban characteristic data according to the basic data and generating urban space elements based on the urban characteristic data;
the city data identification coding module is used for inputting the city space elements into a preset city identification database to obtain a plurality of city source data and coding data for identifying the city source data;
the city data set table construction module is used for forming a city data set table based on the coded data and the city source data arrangement set and storing the city data set table in a preset storage module;
and the index identification module is used for setting index identifications based on the city data set table, and taking the index identifications as data query columns.
7. The MA-based smart city identification system of claim 6, wherein the city data identification encoding module comprises:
The urban data processing request generation submodule is used for inputting the urban space elements into a preset urban identification database to generate an urban data processing request;
the city identification coding rule generation sub-module is used for preprocessing a city identification database trained in advance according to the city data processing request to obtain a plurality of sets of city identification coding rules conforming to the city data processing request;
and the adaptation sub-module is used for adapting with the urban space elements based on a plurality of sets of urban identification coding rules, selecting the urban identification coding rules with the optimal adaptation degree, and carrying out data identification coding on the urban space elements to obtain a plurality of urban source data and coded data for identifying the urban source data.
8. The MA-based smart city identification system of claim 6, further comprising:
the city data changing module is used for obtaining city changing data and obtaining changing data types based on the city changing data, wherein the changing data types comprise city updating data and city adding data, and the city data collecting table is subjected to data changing processing based on the city changing data;
The city data adding processing module is used for obtaining city adding source data and identification adding data for identifying the city adding source data based on the city adding data if the change data type is the city adding data, and adding the city adding source data into a city data integration table according to the identification adding data;
and the city data updating processing module is used for acquiring city updating source data and identification updating data for identifying the city updating source data based on the city updating data if the city changing data is the city updating data, and adding the city updating source data into a city data integration table according to the identification updating data so as to replace the corresponding city source data.
9. Computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of a MA-system based smart city identification method according to any of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium storing a computer program, which when executed by a processor performs the steps of a MA-based smart city identification method according to any one of claims 1 to 5.
CN202311345438.9A 2023-10-18 2023-10-18 Smart city identification method, system, equipment and medium based on MA system Active CN117076467B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311345438.9A CN117076467B (en) 2023-10-18 2023-10-18 Smart city identification method, system, equipment and medium based on MA system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311345438.9A CN117076467B (en) 2023-10-18 2023-10-18 Smart city identification method, system, equipment and medium based on MA system

Publications (2)

Publication Number Publication Date
CN117076467A true CN117076467A (en) 2023-11-17
CN117076467B CN117076467B (en) 2024-02-27

Family

ID=88715776

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311345438.9A Active CN117076467B (en) 2023-10-18 2023-10-18 Smart city identification method, system, equipment and medium based on MA system

Country Status (1)

Country Link
CN (1) CN117076467B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107707552A (en) * 2017-09-30 2018-02-16 新奥(中国)燃气投资有限公司 A kind of encoding setting method and device
CN110059967A (en) * 2019-04-23 2019-07-26 北京相数科技有限公司 A kind of data processing method and device applied to city decision Analysis
US10424402B1 (en) * 2010-11-22 2019-09-24 Dallas -Fort Worth Hospital Council Education and Research Foundation System and method for geographic mapping of base data
CN113568587A (en) * 2021-09-22 2021-10-29 深圳市中天碧姆科技有限公司 Smart city real-time data processing method, system and storage medium
CN114661476A (en) * 2022-03-31 2022-06-24 北京金山数字娱乐科技有限公司 Task processing method, device, equipment and storage medium
CN115099380A (en) * 2022-06-24 2022-09-23 中国电子技术标准化研究院 Method and system for carrying out uniform identification code analysis on multi-source associated data of urban object
WO2022268130A1 (en) * 2021-06-25 2022-12-29 华为技术有限公司 Network encoding method and apparatus
US20230016183A1 (en) * 2019-12-10 2023-01-19 Naturequant, Llc Characterizing localized natural areas and individual exposure
CN116680648A (en) * 2023-03-24 2023-09-01 中乾思创(北京)科技有限公司 Service fusion data generation method and system for digital twin city

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10424402B1 (en) * 2010-11-22 2019-09-24 Dallas -Fort Worth Hospital Council Education and Research Foundation System and method for geographic mapping of base data
CN107707552A (en) * 2017-09-30 2018-02-16 新奥(中国)燃气投资有限公司 A kind of encoding setting method and device
CN110059967A (en) * 2019-04-23 2019-07-26 北京相数科技有限公司 A kind of data processing method and device applied to city decision Analysis
US20230016183A1 (en) * 2019-12-10 2023-01-19 Naturequant, Llc Characterizing localized natural areas and individual exposure
WO2022268130A1 (en) * 2021-06-25 2022-12-29 华为技术有限公司 Network encoding method and apparatus
CN113568587A (en) * 2021-09-22 2021-10-29 深圳市中天碧姆科技有限公司 Smart city real-time data processing method, system and storage medium
CN114661476A (en) * 2022-03-31 2022-06-24 北京金山数字娱乐科技有限公司 Task processing method, device, equipment and storage medium
CN115099380A (en) * 2022-06-24 2022-09-23 中国电子技术标准化研究院 Method and system for carrying out uniform identification code analysis on multi-source associated data of urban object
CN116680648A (en) * 2023-03-24 2023-09-01 中乾思创(北京)科技有限公司 Service fusion data generation method and system for digital twin city

Also Published As

Publication number Publication date
CN117076467B (en) 2024-02-27

Similar Documents

Publication Publication Date Title
CN104298710B (en) Automatically welcome terrestrial reference is found
CN112417273A (en) Region portrait image generation method, region portrait image generation device, computer equipment and storage medium
CN106033460A (en) Address data processing method and apparatus
CN107832291B (en) Man-machine cooperation customer service method, electronic device and storage medium
CN105550225A (en) Index construction method and query method and apparatus
JP2002032773A (en) Device and method for processing map data
CN111680480A (en) Template-based job approval method and device, computer equipment and storage medium
CN113568895A (en) Database data processing method and device and electronic equipment
CN109325042A (en) Handle template acquisition methods, form processing method, device, equipment and medium
CN115544088A (en) Address information query method and device, electronic equipment and storage medium
CN117076467B (en) Smart city identification method, system, equipment and medium based on MA system
CN111538796A (en) Address normalization processing method, device, equipment and storage medium
CN111752958A (en) Intelligent associated label method, device, computer equipment and storage medium
CN111581187A (en) Data management method and device for intelligent park, computer equipment and storage medium
CN113435502B (en) Site flow determination method, device, equipment and storage medium
CN115544197A (en) Fine-grained address matching method and system
CN107784548B (en) Order processing method and device
CN115878592A (en) Government affair data management method and device, storage medium and electronic equipment
CN115563409A (en) Address administrative division identification method, device, equipment and medium
CN112287005B (en) Data processing method, device, server and medium
CN104123357A (en) Method and device for querying checkpoint
CN116414808A (en) Method, device, computer equipment and storage medium for normalizing detailed address
CN113128006A (en) High-voltage power distribution method and device based on neural network
CN115454354B (en) Data processing method, system, electronic device and storage medium
CN111475742A (en) Address extraction method and device

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