CN114003783A - Data sharing system based on smart city cloud platform - Google Patents
Data sharing system based on smart city cloud platform Download PDFInfo
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- CN114003783A CN114003783A CN202111187907.XA CN202111187907A CN114003783A CN 114003783 A CN114003783 A CN 114003783A CN 202111187907 A CN202111187907 A CN 202111187907A CN 114003783 A CN114003783 A CN 114003783A
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- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
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Abstract
The invention discloses a data sharing system based on a smart city cloud platform, which relates to the technical field of data sharing and comprises the following steps: the acquisition module is used for acquiring a query request of a user; the identity authentication module is used for examining and approving the query request, and providing the query authority for the user if the examination and approval is passed; and the query module is used for extracting the key words in the request information, sequentially querying in the preference database, the query database and the backup data according to the key words, and feeding the queried city data back to the user. According to the invention, the query database, the preference database and the backup database are introduced, and the corresponding city data and the priority are respectively configured, so that the query efficiency is improved, the sharing service quality is improved, and the requirements of modern smart cities are met.
Description
Technical Field
The invention relates to the technical field of data sharing, in particular to a data sharing system based on a smart city cloud platform.
Background
The smart city aims at maximizing and optimizing city functions, economic growth is promoted, and meanwhile, the quality of life of urban residents is improved by means of intelligent science and technology and data analysis. Currently, the technologies most closely related to smart cities include: unmanned, machine learning, and internet of things (IoT). These technologies take advantage of the big data in different aspects of the city to make the life of urban residents more convenient. Among them, the internet of things has been deployed in a number of countries and regions. For example, 3200 detectors have been installed in the city of san diego in the united states to collect traffic information, and if there is any problem with the traffic, the city government can notify the citizens in the first place and implement timely solutions.
For example, monitoring and recording of relevant air pollutants is a task in smart cities. However, how many people know the pollution risk index of pedestrians, cyclists, drivers and local residents; how to measure the pollution influence on road traffic, traffic lights, buses and subway stations; the popularization of the electric buses can reduce the environmental pollution for urban population in the long run; these problems are only known by the most accurate long-term multi-site monitoring, collecting large amounts of data, and performing various analyses.
With the rapid development of smart cities, a large amount of data is generated, and the data has the remarkable characteristics of large scale, rapid growth, various structures and the like, so that the conventional method is adopted to provide data sharing service for the smart cities, and the query speed is too slow due to too low efficiency.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a data sharing system based on a smart city cloud platform, which comprises the following components:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a query request of a user, and the query request comprises identity information and request information of the user;
the identity verification module is used for examining and approving the query request, including verification of the identity of the user and judgment of authority, and providing authority for inquiring and downloading city data for the user if the examination and approval is passed;
and the query module is used for extracting the key words in the request information, searching in the query database, the preference database and the backup database according to the key words, and feeding back the search results to the user to finish data sharing.
Preferably, the query database is used for storing the city data meeting the time condition and the corresponding keywords thereof
The preference database is used for storing city data meeting time conditions and user preference conditions and corresponding keywords of the city data;
and the backup database is used for storing the city data which do not meet the time condition and the corresponding keywords thereof.
Preferably, the query module includes: the keyword extraction module is used for extracting keywords in the request information; the keyword query module is used for sequentially searching the preference database, the query database and the backup database according to the extracted keywords; and the feedback module is used for feeding back the retrieved city data to the user.
Preferably, the keyword extraction module includes: the format conversion module is used for converting the format of the content in the request information into a text document; the text disassembling module is used for disassembling the text document to obtain all words in the content; and the extraction module is used for extracting the words consistent with the preset keywords from all the words as the keywords in the request information.
Preferably, the system further comprises an identity information base, wherein user identity information, user authority information and user query preference information are stored in the identity information base, and the query preference information is a collection of keywords of which the query times is K before within a certain time of a user.
Preferably, the system further comprises an updating module, wherein the updating module is used for updating the user query preference information in real time by using the keywords in the request information, and updating the preference database in real time by using the query preference information as the user preference condition.
Preferably, the system further comprises a keyword library, wherein the keywords comprise first-class keywords, second-class keywords, third-class keywords and fourth-class keywords.
Preferably, the backup database comprises a first-level backup database, a second-level backup database and a third-level backup database, wherein the first-level backup database is used for storing the urban data which do not meet the time condition and a class of corresponding keywords, the second-level backup database is used for storing the urban data which do not meet the time condition and a class of corresponding keywords, the third-level backup database is used for storing the urban data which do not meet the time condition and a class of corresponding keywords, and the storage time lengths of the urban data in the first-level backup database, the second-level backup database and the third-level backup database do not exceed respective preset time lengths.
Preferably, the system further comprises a city data acquisition module, which is used for acquiring city data by using city monitoring equipment, wherein the city monitoring equipment is arranged according to preset acquisition points, and the acquisition points are increased or decreased and adjusted according to the keyword set with the number of occurrences of M in all user query preference information sets.
Preferably, the data analysis processing module is configured to preprocess the acquired city data and store the processed data respectively.
Preferably, the data analysis processing module includes: the data cleaning module is used for cleaning data of error items, missing items and repeated items in the city data; the format conversion module is used for converting the cleaned city data into a uniform format; the field mapping module is used for mapping the format-converted city data into standard fields; the data extraction module is used for extracting the city data after the field mapping; and the data classification module is used for classifying the extracted city data according to preset keywords.
The invention has the beneficial effects that: according to the method, the query database, the preference database and the backup database are introduced, the city data meeting the time condition and the user preference condition and the corresponding keywords of the city data are configured for the preference database to serve as the first priority, the city data meeting the time condition and the corresponding keywords of the city data are configured for the query database to serve as the second priority, and the city data not meeting the time condition and the corresponding keywords of the city data are configured for the backup database to serve as the third priority, so that the query efficiency is improved, the sharing service quality is improved, and the requirements of modern smart cities are met.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a schematic structural view of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Examples
As shown in fig. 1, a data sharing system based on a smart city cloud platform includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a query request of a user, and the query request comprises identity information and request information of the user;
the identity verification module is used for examining and approving the query request, including verification of the identity of the user and judgment of authority, and providing authority for inquiring and downloading city data for the user if the examination and approval is passed;
the query module is used for extracting the key words in the request information, querying the city data corresponding to the key words in the preference database, if the query is successful in the preference database, feeding the queried city data back to the user, if the query is unsuccessful in the preference database, querying the city data corresponding to the key words in the query database, if the query is successful in the query database, feeding the queried city data back to the user, if the query is unsuccessful in the query database, querying the city data corresponding to the key words in the backup database, if the query is successful in the backup database, feeding the queried city data back to the user, and if the query is unsuccessful in the backup database, feeding the query failure back to the user.
The query database is used for storing the city data meeting the time condition and the corresponding keywords;
the preference database is used for storing city data meeting time conditions and user preference conditions and corresponding keywords of the city data;
and the backup database is used for storing the city data which do not meet the time condition and the corresponding keywords thereof.
According to the method, the query database, the preference database and the backup database are introduced, the city data meeting the time condition and the user preference condition and the corresponding keywords of the city data are configured for the preference database to serve as the first priority, the city data meeting the time condition and the corresponding keywords of the city data are configured for the query database to serve as the second priority, and the city data not meeting the time condition and the corresponding keywords of the city data are configured for the backup database to serve as the third priority, so that the query efficiency is improved, the sharing service quality is improved, and the requirements of modern smart cities are met.
As a preferred embodiment, the query module includes: the keyword extraction module is used for extracting keywords in the request information; the keyword query module is used for sequentially searching the preference database, the query database and the backup database according to the extracted keywords; and the feedback module is used for feeding back the retrieved city data to the user.
As a preferred embodiment, the query module includes: the format conversion module is used for converting the format of the content in the request information into a text document; the text disassembling module is used for disassembling the text document to obtain all words in the content; and the keyword extraction module is used for extracting the words which are consistent with the preset keywords from all the words as the keywords in the request information, so that the keywords in the request information are obtained, and the follow-up retrieval is facilitated.
As a preferred embodiment, the system further comprises an identity information base, wherein user identity information, user authority information and user query preference information are stored in the identity information base, and the query preference information is a collection of keywords of which the query times is K before within a certain time period.
After the query request is obtained, whether the identity information of the user in the query request is the same as the identity information of the user in the identity information base or not is judged, if yes, the identity authentication is successful, the user authority information corresponding to the user identity information in the identity information base is obtained, whether the authority for querying and downloading the urban data is allowed or not is determined according to the authority information, and if the authority judgment is successful, the querying and downloading are allowed. The system comprises a feedback module, a storage module and an encryption module, wherein the feedback module is used for sending the inquired city data to the user in an encrypted manner to avoid downloading and forwarding of the user if the user only has inquiry authority, and the feedback module is used for directly sending the inquired city data to the user if the user has inquiry and downloading authority. The security of the system can be improved through the identity authentication module.
As a preferred embodiment, when the system runs, a time condition may be set, where the time condition of this embodiment is set to 6 months, that is, city data and corresponding keywords thereof are stored in the query database, and when the city data in the query database exceeds 6 months, the data exceeding 6 months is deleted in the query database, and is backed up to the backup database, so as to reduce the stored amount of the query database and improve the capacity of the query database.
As a preferred embodiment, the system further comprises an updating module, wherein the updating module is configured to update the user query preference information in real time by using the keyword in the request information, update the preference database in real time by using the query preference information as a user preference condition and a time condition together, and when querying in the preference data, use the user identity information as a first index condition and use the keyword as a second index condition. Of course, the update module may also be used to update the backup database, the identity database, and the query database. The system can automatically push city data for users with sharing authority according to the content in the preference database.
As a preferred embodiment, the system further comprises a keyword library, wherein the keywords comprise a first class keyword, a second class keyword, a third class keyword and a fourth class keyword, the keywords are classified according to the weight of the city requirement, the backup database comprises a first level backup database, a second level backup database and a third level backup database, wherein the first level backup database is used for storing the city data which do not satisfy the time condition and the corresponding first class keyword, the second level backup database is used for storing the city data which do not satisfy the time condition and the corresponding second class keyword, the third level backup database is used for storing the city data which do not satisfy the time condition and the corresponding third class keyword, the storage time lengths of the city data in the first level backup database, the second level backup database and the third level backup database are not more than the respective preset time lengths, and the preset time lengths are set by a manager, the storage time of the city data in the first-level backup database is 2 years, the storage time of the city data in the second-level backup database is 1 year, the storage time of the city data in the third-level backup database is 6 months, data exceeding the storage time can remind a manager to backup the city data on other devices such as a mobile hard disk and the like, then the city data are deleted in the backup database, the system can automatically delete the data after reminding three times, and the city data are sequentially retrieved according to the sequence of the first-level backup database, the second-level backup database and the third-level backup database when the backup database is inquired according to the key words in the user inquiry request.
As a preferred embodiment, the system further comprises a city data acquisition module, configured to acquire city data by using city monitoring equipment, where the city monitoring equipment is arranged according to preset acquisition points, and the acquisition points are increased or decreased according to a keyword set whose occurrence frequency in all user query preference information sets is M.
The method comprises the steps of obtaining important places needing to collect city data according to city planning drawings and city monitoring requirements, and laying city monitoring equipment by taking the important places as initial collection points, so that the city data such as traffic, environment and energy consumption are collected by the city monitoring equipment, subsequently adjusting the quantity and the positions of the collection points according to the query preference of a user, taking data with a large number of query times as a key collection area, laying more city monitoring equipment in the area, adding new collection points on the basis of no queried keywords, avoiding the situation that the data collected by the initial collection points cannot meet the query requirements of the user, and making adaptive adjustment on the city data collection according to the user requirements.
As a preferred embodiment, the data analysis processing module is configured to pre-process the acquired city data and store the processed data respectively.
As a preferred embodiment, the data analysis processing module includes: the data cleaning module is used for cleaning data of error items, missing items and repeated items in the city data; the format conversion module is used for converting the cleaned city data into a uniform format; the field mapping module is used for mapping the format-converted city data into standard fields; the data extraction module is used for extracting the city data after the field mapping; and the data classification module is used for classifying the extracted city data according to preset keywords.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (9)
1. The utility model provides a data sharing system based on wisdom city cloud platform which characterized in that includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a query request of a user, and the query request comprises identity information and request information of the user;
the identity verification module is used for examining and approving the query request, including verification of the identity of the user and judgment of authority, and providing authority for inquiring and downloading city data for the user if the examination and approval is passed;
and the query module is used for extracting the key words in the request information, querying in the query database, the preference database and the backup database, and feeding back the query result to the user to finish data sharing.
2. The smart city cloud platform-based data sharing system according to claim 1, wherein: the system comprises a query database, a preference database and a database server, wherein the query database is used for storing city data meeting time conditions and corresponding keywords thereof; and the backup database is used for storing the city data which do not meet the time condition and the corresponding keywords thereof.
3. The smart city cloud platform-based data sharing system according to claim 1, wherein the query module comprises:
the keyword extraction module is used for extracting keywords in the request information;
the keyword query module is used for sequentially searching the preference database, the query database and the backup database according to the extracted keywords;
and the feedback module is used for feeding back the retrieved city data to the user.
4. The smart city cloud platform-based data sharing system as claimed in claim 2, wherein the keyword extraction module comprises:
the format conversion module is used for converting the format of the content in the request information into a text document;
the text disassembling module is used for disassembling the text document to obtain all words in the content; and the extraction module is used for extracting the words consistent with the preset keywords from all the words as the keywords in the request information.
5. The smart city cloud platform-based data sharing system as claimed in claim 1, further comprising an identity information base, wherein the identity information base stores therein user identity information, user authority information and user query preference information, and the query preference information is a collection of keywords of which the number of queries of a user is top K within a certain time.
6. The smart city cloud platform-based data sharing system as claimed in claim 4, further comprising an updating module, wherein the updating module is configured to update the user query preference information in real time according to the keyword in the request information, and update the preference database in real time according to the query preference information as a user preference condition.
7. The smart city cloud platform-based data sharing system as claimed in claim 1, characterized in that the keywords comprise first class keywords, second class keywords, third class keywords and fourth class keywords, the backup database comprises a primary backup database, a secondary backup database and a tertiary backup database, wherein, the primary backup database is used for storing the city data which do not meet the time condition and the corresponding keywords, the secondary backup database is used for storing city data which do not meet the time condition and corresponding second-class keywords, the third-level backup database is used for storing city data which do not meet time conditions and corresponding three types of key words, and the storage time lengths of the city data in the first-level backup database, the second-level backup database and the third-level backup database do not exceed respective preset time lengths.
8. The smart city cloud platform-based data sharing system according to claim 5, further comprising a city data collection module for collecting city data by using city monitoring equipment, wherein the city monitoring equipment is arranged according to preset collection points, and the collection points are increased or decreased according to a keyword set with the top M occurrence times in all user query preference information sets.
9. The smart city cloud platform-based data sharing system as claimed in claim 8, wherein the data analysis processing module is configured to pre-process the collected city data and store the processed data respectively.
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