CN114418360A - Smart city operation sign big data analysis method and device - Google Patents

Smart city operation sign big data analysis method and device Download PDF

Info

Publication number
CN114418360A
CN114418360A CN202111672399.4A CN202111672399A CN114418360A CN 114418360 A CN114418360 A CN 114418360A CN 202111672399 A CN202111672399 A CN 202111672399A CN 114418360 A CN114418360 A CN 114418360A
Authority
CN
China
Prior art keywords
data
internet
city
smart city
geographic information
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.)
Pending
Application number
CN202111672399.4A
Other languages
Chinese (zh)
Inventor
王珏
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.)
Beijing Institute of Radio Metrology and Measurement
Original Assignee
Beijing Institute of Radio Metrology and Measurement
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 Beijing Institute of Radio Metrology and Measurement filed Critical Beijing Institute of Radio Metrology and Measurement
Priority to CN202111672399.4A priority Critical patent/CN114418360A/en
Publication of CN114418360A publication Critical patent/CN114418360A/en
Pending legal-status Critical Current

Links

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
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • 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
    • 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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/35—Utilities, e.g. electricity, gas or water
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A30/00—Adapting or protecting infrastructure or their operation
    • Y02A30/60—Planning or developing urban green infrastructure

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Databases & Information Systems (AREA)
  • Primary Health Care (AREA)
  • Remote Sensing (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Accounting & Taxation (AREA)
  • Computing Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a big data analysis method and device for smart city operation signs. The method comprises the following steps: acquiring Internet of things perception data through Internet of things perception equipment; collecting data and geographic information data of each special service system through the Internet; establishing a data model aiming at the internet of things perception data, the data of each special service system and the geographic information data, and storing the data model; and analyzing the data model to generate a smart city theme bank, wherein the smart city theme bank comprises city infrastructure, social and civil life, industrial economy, ecological environment, public safety and urban traffic. Therefore, the intelligent city operation situation display method and system can display the city operation situation in an all-around mode through the smart city theme base, and enable a user to visually master the city operation situation from multiple dimensions.

Description

Smart city operation sign big data analysis method and device
Technical Field
The invention relates to the technical field of smart cities, in particular to a method, a device and a system for analyzing big data of operational signs of a smart city, electronic equipment and a computer readable storage medium.
Background
With the vigorous development of the information big data era, technologies such as internet of things, artificial intelligence, cloud computing and the like gradually become important means for people to solve the urban management problem. At present, various major cities and regions join in the process of building smart cities. The smart city covers various aspects such as environment detection, urban traffic, public service, home life, economic commerce, monitoring management, public safety and the like, and mass data are continuously produced.
However, because most cities and regions do not establish a complete management standard system and an information management means, the industry information of each department cannot be effectively utilized, and the construction of the smart city is influenced. In addition, the smart city data is not only huge in quantity, but also various in variety, and how to effectively utilize and manage the smart city data and realize the fine management of the city is also a big problem faced by the smart city at present.
Disclosure of Invention
In view of the above problems, the present invention is proposed to provide a method, an apparatus, a system, an electronic device, and a computer readable storage medium for analyzing big data of operational signs of a smart city, which overcome or at least partially solve the above problems.
One embodiment of the invention provides a big data analysis method for operating signs of a smart city, which comprises the following steps:
acquiring Internet of things perception data through Internet of things perception equipment;
collecting data and geographic information data of each special service system through the Internet;
establishing a data model aiming at the internet of things perception data, the data of each special service system and the geographic information data, and storing the data model;
and analyzing the data model to generate a smart city theme bank, wherein the smart city theme bank comprises city infrastructure, social and civil life, industrial economy, ecological environment, public safety and urban traffic.
Optionally, the method further comprises: and sending the data model of the internet of things perception and the data model of each special service system to a geographic information platform, and the address information platform performs service release according to city, event and personnel information in the data model.
Optionally, the method further comprises: generating an auxiliary decision scheme according to the smart city theme base; the mode of the assistant decision is as follows:
Wij＝f(Ai，θj)
wherein A isiIs the i-th strategy of the decision maker, thetajIs the j environment, W, in which the decision maker and the decision object are locatedijIs the result of the decision maker selecting the ith scenario in the jth context.
Optionally, the method further comprises: the method comprises the steps of classifying the smart city theme bank, sending the classified smart city theme bank to a cockpit system, displaying the classified smart city theme bank by the cockpit system, and displaying the smart city theme bank in a form of a statistical chart, a radar chart and a thermodynamic chart.
Another embodiment of the present invention provides a smart city operation sign big data analysis device, including:
the system comprises an Internet of things perception data acquisition unit, an Internet of things perception device and a data processing unit, wherein the Internet of things perception data acquisition unit is used for acquiring Internet of things perception data through the Internet of things perception device;
the service data acquisition unit is used for acquiring data and geographic information data of each special service system through the Internet;
the data model establishing unit is used for establishing a data model aiming at the internet of things perception data, the data of each special service system and the geographic information data and storing the data model;
and the smart city theme bank generating unit is used for analyzing the data model to generate a smart city theme bank, and the smart city theme bank comprises city infrastructure, social demographics, industrial economy, ecological environment, public safety and urban traffic.
Optionally, the apparatus further comprises:
and the service issuing unit is used for sending the data model of the Internet of things perception and the data model of each special service system to the geographic information platform, and the address information platform performs service issuing according to city, event and personnel information in the data model.
Optionally, the apparatus further comprises:
the assistant decision unit is used for generating an assistant decision scheme according to the smart city theme library; the mode of the assistant decision is as follows:
Wij＝f(Ai，θj)
wherein A isiIs the i-th strategy of the decision maker, thetajIs the j environment, W, in which the decision maker and the decision object are locatedijIs the result of the decision maker selecting the ith scenario in the jth context.
Optionally, the apparatus further comprises:
wisdom city theme bank show unit, it is right to be used for the wisdom city theme bank classifies, sends the wisdom city theme bank after classifying to the cockpit system, the wisdom city theme bank after the cockpit system will classify demonstrates, and the form of show includes statistical chart, radar chart, thermodynamic diagram.
One embodiment of the present invention provides a smart city operation sign big data analysis system, which includes:
the system comprises an Internet of things sensing device, at least one special service system, a geographic information platform, a data center platform and a cockpit system;
the Internet of things sensing equipment is used for acquiring Internet of things sensing data and sending the acquired Internet of things sensing data to the data center station;
the special service system is used for storing data of each administrative department in a city and sending the data to the data center station;
the geographic information platform is used for storing geographic information data and sending the geographic information data to the data center station;
the data center station is used for receiving the internet of things perception data, the data of each special service system and the geographic information data, establishing a data model aiming at the internet of things perception data, the data of each special service system and the geographic information data, storing and analyzing the data model and generating a smart city theme bank, wherein the smart city theme bank comprises city infrastructure, social and civil life, industrial economy, ecological environment, public safety and urban traffic;
the geographic information platform is also used for acquiring a data model from the data middling station and issuing and displaying the overall service for cities, events and personnel information on the basis of the data model;
the data center station still is used for right the wisdom city theme storehouse is categorised, and the wisdom city theme storehouse after will categorised sends to the cockpit system, the wisdom city theme storehouse after the cockpit system will classify demonstrates, and the form of show includes statistical chart, radar chart, thermodynamic diagram, the cockpit system still according to wisdom city theme storehouse generates the aid decision scheme.
Another embodiment of the present invention provides an electronic device, wherein the electronic device includes:
a processor; and the number of the first and second groups,
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the above-described smart city operational signs big data analysis method.
Another embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, which when executed by a processor, implement the above-mentioned smart city operation sign big data analysis method.
The intelligent city operation situation display method has the advantages that the city operation situation can be displayed in an all-around mode through the intelligent city theme base, and a user can intuitively master the city operation situation from multiple dimensions.
The invention can meet the service requirements of different users and achieve the function of helping the users to make auxiliary decisions. The traditional chart or character display form can not meet and support massive information brought by a large data platform, the display method is rich, and by using diversified display forms such as a statistical chart, a radar chart and a thermodynamic diagram, the system display effect can be improved, and a user can know data more intuitively and clearly. Through the display of different plates, the user can more intuitively know the required data and make predictive and targeted measures.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for analyzing big data of operational signs of a smart city according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a big data analysis apparatus for operational signs of a smart city according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a big data analysis system for operational signs of a smart city according to an embodiment of the present invention;
FIG. 4 shows a schematic structural diagram of an electronic device according to one embodiment of the invention;
fig. 5 shows a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for analyzing big data of operational signs of a smart city according to an embodiment of the present invention. As shown in fig. 1, the method includes:
s11: acquiring Internet of things perception data through Internet of things perception equipment;
the Internet of things sensing equipment is responsible for collecting data acquired by equipment such as urban business monitoring and monitoring equipment, a communication terminal and a sensor. In practical application, the internet of things sensing equipment comprises city monitoring equipment, pipe network monitoring equipment, entrance guard bayonet barrier gate equipment, environment monitoring equipment and the like.
S12: collecting data and geographic information data of each special service system through the Internet;
it is understood that the special service system includes various special service systems operated by administrative departments in cities. The geographic information data may be obtained from a geographic information platform.
S13: establishing a data model aiming at the internet of things perception data, the data of each special service system and the geographic information data, and storing the data model;
the embodiment of the invention collects and converges the Internet of things perception data, the data of each special service system and the geographic information data, cleans and processes the data and constructs different data models.
It can be understood that the data model refers to that the big data analysis is performed after the collected data is subjected to certain arrangement and conversion into uniform specification and dimension to obtain uniform and standard data. Sources of source data include, but are not limited to: the process is called ETL (Extract-Transform-Load), and mainly means that source data are loaded to a data warehouse after being extracted, cleaned and converted, so that scattered, disordered and standard non-uniform data in an enterprise are integrated together, and an analysis basis is provided for decision making of the enterprise. The loading of the data is directly written into the database after the data is cleaned. After the ETL process, a model integrating data is called a database data model, and the essence of the model is that the unified definition, coding and naming of city operation and logic rules are carried out by using entities, attributes and relations thereof in order to truly simulate or abstract a representation world; is a set of language for communication between business personnel and developers. Through the method, the conversion from the source data to the data model can be realized.
S14: and analyzing the data model to generate a smart city theme bank, wherein the smart city theme bank comprises city infrastructure, social and civil life, industrial economy, ecological environment, public safety and urban traffic.
According to the big data analysis method for the operational signs of the smart city, the current urban operation situation can be displayed in an all-around manner through the subject library of the smart city, so that a user can intuitively master the urban operation situation from multiple dimensions.
In an optional implementation manner of the embodiment of the present invention, the method further includes: and sending the data model of the internet of things perception and the data model of each special service system to a geographic information platform, and the address information platform performs service release according to city, event and personnel information in the data model.
It can be understood that the geographic information platform of the embodiment of the invention is responsible for issuing and displaying the overall service of cities, events, personnel information and the like on the basis of the data model.
Further, the method further comprises: generating an auxiliary decision scheme according to the smart city theme base; the mode of the assistant decision is as follows:
Wij＝f(Ai，θj)
wherein A isiThe strategy is the ith strategy of a decision maker, belongs to decision variables and is a controllable factor of the decision maker; thetajThe j-th environment where the decision maker and the decision object are located belongs to a state variable and is a factor uncontrollable by the decision maker; wijThe value function value of the decision problem, generally called benefit value and utility value, is the result of the decision maker selecting the ith scheme under the jth environment. i and j are integers of 1 or more.
Understandably, the auxiliary decision-making means that a subject library related to urban operation physical signs is constructed on the basis of an internet search technology, an information intelligent processing technology and a natural language processing technology, the auxiliary decision-making is built and continuously completed, and all-round and multi-level decision-making support and knowledge service are provided.
Further, the method further comprises: the method comprises the steps of classifying the smart city theme bank, sending the classified smart city theme bank to a cockpit system, displaying the classified smart city theme bank by the cockpit system, and displaying the smart city theme bank in a form of a statistical chart, a radar chart and a thermodynamic chart.
The embodiment of the invention can meet the service requirements of different users and achieve the function of assisting the users in making decisions. The traditional chart or character display form cannot meet and support massive information brought by a large data platform, the display means of the embodiment of the invention is rich, and by using diversified display forms such as a statistical chart, a radar chart, a thermodynamic diagram and the like, the display effect of the system can be improved, and a user can know the data more intuitively and clearly. Through the display of different plates, the user can more intuitively know the required data and make predictive and targeted measures.
Fig. 2 is a schematic structural diagram of a smart city operation sign big data analysis device according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes:
the internet of things perception data acquisition unit 21 is used for acquiring internet of things perception data through internet of things perception equipment;
a service data acquisition unit 22, configured to acquire data and geographic information data of each special service system via the internet;
the data model establishing unit 23 is configured to establish a data model for the internet of things perception data, the data of each special service system, and the geographic information data, and store the data model;
and the smart city theme bank generating unit 24 is used for analyzing the data model to generate a smart city theme bank, wherein the smart city theme bank comprises city infrastructure, social demographics, industrial economy, ecological environment, public safety and urban traffic.
According to the big data analysis device for the operational signs of the smart city, the current urban operational situation can be displayed in an all-around manner through the subject library of the smart city, so that a user can intuitively master the urban operational situation from multiple dimensions.
In an optional implementation manner of the embodiment of the present invention, the apparatus further includes:
and the service issuing unit is used for sending the data model of the Internet of things perception and the data model of each special service system to the geographic information platform, and the address information platform performs service issuing according to city, event and personnel information in the data model.
Further, the apparatus further comprises:
the assistant decision unit is used for generating an assistant decision scheme according to the smart city theme library; the mode of the assistant decision is as follows:
Wij＝f(Ai，θj)
wherein A isiIs the i-th strategy of the decision maker, thetajIs the j environment, W, in which the decision maker and the decision object are locatedijIs a decisionThe user selects the outcome of the ith scenario in the jth environment.
Further, the apparatus further comprises:
wisdom city theme bank show unit, it is right to be used for the wisdom city theme bank classifies, sends the wisdom city theme bank after classifying to the cockpit system, the wisdom city theme bank after the cockpit system will classify demonstrates, and the form of show includes statistical chart, radar chart, thermodynamic diagram.
It should be noted that the big data analysis apparatus for smart city operation signs in the above embodiments can be respectively used to execute the methods in the foregoing embodiments, and therefore, the detailed description is not repeated.
Fig. 3 is a schematic structural diagram of a smart city operation sign big data analysis system according to an embodiment of the present invention. As shown in fig. 3, the smart city operation sign big data analysis system according to the embodiment of the present invention includes:
the system comprises an internet of things sensing device 31, at least one special service system 32, a geographic information platform 33, a data center 34 and a cockpit system 35;
the internet of things sensing equipment 31 is used for acquiring internet of things sensing data and sending the acquired internet of things sensing data to the data center station;
the Internet of things sensing equipment is responsible for collecting data acquired by equipment such as urban business monitoring and monitoring equipment, a communication terminal and a sensor. In practical application, the internet of things sensing equipment comprises city monitoring equipment, pipe network monitoring equipment, entrance guard bayonet barrier gate equipment, environment monitoring equipment and the like;
the special service system 32 is used for storing data of each administrative department in a city and sending the data to the data center;
the geographic information platform 33 is used for storing geographic information data and sending the geographic information data to the data center station;
the data center 34 is configured to receive the internet of things perception data, the data of each special service system, and the geographic information data, establish a data model for the internet of things perception data, the data of each special service system, and the geographic information data, store and analyze the data model, and generate a smart city theme bank, where the smart city theme bank includes city infrastructure, social and civil life, industrial and economic, ecological environment, public safety, and urban traffic;
the data center 34 of the embodiment of the invention collects and converges the internet of things perception data, the data of each special service system and the geographic information data, cleans and processes the data, and constructs different data models.
It can be understood that the data model refers to that the big data analysis is performed after the collected data is subjected to certain arrangement and conversion into uniform specification and dimension to obtain uniform and standard data. Sources of source data include, but are not limited to: the process is called ETL (Extract-Transform-Load), and mainly means that source data are loaded to a data warehouse after being extracted, cleaned and converted, so that scattered, disordered and standard non-uniform data in an enterprise are integrated together, and an analysis basis is provided for decision making of the enterprise. The loading of the data is directly written into the database after the data is cleaned. After the ETL process, a model integrating data is called a database data model, and the essence of the model is that the unified definition, coding and naming of city operation and logic rules are carried out by using entities, attributes and relations thereof in order to truly simulate or abstract a representation world; is a set of language for communication between business personnel and developers. Through the method, the conversion from the source data to the data model can be realized.
The geographic information platform 33 is further configured to obtain a data model from the data middlebox, and issue and display the overall service for the city, the event, and the personnel information based on the data model;
the data center 34 is further used for classifying the smart city theme base, sending the classified smart city theme base to the cockpit system 35, the cockpit system 35 displays the classified smart city theme base in a form including a statistical chart, a radar chart and a thermodynamic diagram, and the cockpit system 35 further generates an assistant decision scheme according to the smart city theme base.
The mode of the auxiliary decision of the cockpit system 35 is as follows:
Wij＝f(Ai，θj)
wherein A isiThe strategy is the ith strategy of a decision maker, belongs to decision variables and is a controllable factor of the decision maker; thetajThe j-th environment where the decision maker and the decision object are located belongs to a state variable and is a factor uncontrollable by the decision maker; wijThe value function value of the decision problem, generally called benefit value and utility value, is the result of the decision maker selecting the ith scheme under the jth environment. i and j are integers of 1 or more.
Understandably, the auxiliary decision-making means that a subject library related to urban operation physical signs is constructed on the basis of an internet search technology, an information intelligent processing technology and a natural language processing technology, the auxiliary decision-making is built and continuously completed, and all-round and multi-level decision-making support and knowledge service are provided.
In conclusion, the intelligent city theme base can display the current city operation situation in an all-around manner, so that a user can intuitively master the city operation situation from multiple dimensions.
The invention can meet the service requirements of different users and achieve the function of helping the users to make auxiliary decisions. The traditional chart or character display form can not meet and support massive information brought by a large data platform, the display method is rich, and by using diversified display forms such as a statistical chart, a radar chart and a thermodynamic diagram, the system display effect can be improved, and a user can know data more intuitively and clearly. Through the display of different plates, the user can more intuitively know the required data and make predictive and targeted measures.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that:
the algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the apparatus for detecting a wearing state of an electronic device according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
For example, fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the invention. The electronic device conventionally comprises a processor 41 and a memory 42 arranged to store computer executable instructions (program code). The memory 42 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. The memory 42 has a storage space 43 for storing program code 44 for performing the method steps shown in fig. 1 and in any of the embodiments. For example, the storage space 43 for storing the program code may comprise respective program codes 44 for respectively implementing the various steps in the above method. The program code can be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. Such a computer program product is typically a computer readable storage medium such as described in fig. 5. The computer readable storage medium may have memory segments, memory spaces, etc. arranged similarly to the memory 42 in the electronic device of fig. 4. The program code may be compressed, for example, in a suitable form. In general, the memory space stores program code 51 for performing the steps of the method according to the invention, i.e. there may be program code, such as read by the processor 41, which, when run by the electronic device, causes the electronic device to perform the steps of the method described above.
While the foregoing is directed to embodiments of the present invention, other modifications and variations of the present invention may be devised by those skilled in the art in light of the above teachings. It should be understood by those skilled in the art that the foregoing detailed description is for the purpose of better explaining the present invention, and the scope of the present invention should be determined by the scope of the appended claims.

Claims (10)

1. A big data analysis method for operational signs of a smart city is characterized by comprising the following steps:
acquiring Internet of things perception data through Internet of things perception equipment;
collecting data and geographic information data of each special service system through the Internet;
establishing a data model aiming at the internet of things perception data, the data of each special service system and the geographic information data, and storing the data model;
and analyzing the data model to generate a smart city theme bank, wherein the smart city theme bank comprises city infrastructure, social and civil life, industrial economy, ecological environment, public safety and urban traffic.
2. The method of claim 1, further comprising: and sending the data model of the internet of things perception and the data model of each special service system to a geographic information platform, and the address information platform performs service release according to city, event and personnel information in the data model.
3. The method of claim 1, further comprising: generating an auxiliary decision scheme according to the smart city theme base; the mode of the assistant decision is as follows:
Wij＝f(Ai，θj)
wherein A isiIs the i-th strategy of the decision maker, thetajIs the j environment, W, in which the decision maker and the decision object are locatedijIs the result of the decision maker selecting the ith scenario in the jth context.
4. The method of claim 1, further comprising: the method comprises the steps of classifying the smart city theme bank, sending the classified smart city theme bank to a cockpit system, displaying the classified smart city theme bank by the cockpit system, and displaying the smart city theme bank in a form of a statistical chart, a radar chart and a thermodynamic chart.
5. The utility model provides a big data analysis device of wisdom city operation sign which characterized in that includes:
the system comprises an Internet of things perception data acquisition unit, an Internet of things perception device and a data processing unit, wherein the Internet of things perception data acquisition unit is used for acquiring Internet of things perception data through the Internet of things perception device;
the service data acquisition unit is used for acquiring data and geographic information data of each special service system through the Internet;
the data model establishing unit is used for establishing a data model aiming at the internet of things perception data, the data of each special service system and the geographic information data and storing the data model;
and the smart city theme bank generating unit is used for analyzing the data model to generate a smart city theme bank, and the smart city theme bank comprises city infrastructure, social demographics, industrial economy, ecological environment, public safety and urban traffic.
6. The apparatus of claim 5, further comprising:
and the service issuing unit is used for sending the data model of the Internet of things perception and the data model of each special service system to the geographic information platform, and the address information platform performs service issuing according to city, event and personnel information in the data model.
7. The apparatus of claim 5, further comprising:
the assistant decision unit is used for generating an assistant decision scheme according to the smart city theme library; the mode of the assistant decision is as follows:
Wij＝f(Ai，θj)
wherein A isiIs the i-th strategy of the decision maker, thetajIs the j environment, W, in which the decision maker and the decision object are locatedijIs the result of the decision maker selecting the ith scenario in the jth context.
8. The apparatus of claim 5, further comprising:
wisdom city theme bank show unit, it is right to be used for the wisdom city theme bank classifies, sends the wisdom city theme bank after classifying to the cockpit system, the wisdom city theme bank after the cockpit system will classify demonstrates, and the form of show includes statistical chart, radar chart, thermodynamic diagram.
9. The utility model provides a big data analysis system of wisdom city operation sign which characterized in that includes:
the system comprises an Internet of things sensing device, at least one special service system, a geographic information platform, a data center platform and a cockpit system;
the Internet of things sensing equipment is used for acquiring Internet of things sensing data and sending the acquired Internet of things sensing data to the data center station;
the special service system is used for storing data of each administrative department in a city and sending the data to the data center station;
the geographic information platform is used for storing geographic information data and sending the geographic information data to the data center station;
the data center station is used for receiving the internet of things perception data, the data of each special service system and the geographic information data, establishing a data model aiming at the internet of things perception data, the data of each special service system and the geographic information data, storing and analyzing the data model and generating a smart city theme bank, wherein the smart city theme bank comprises city infrastructure, social and civil life, industrial economy, ecological environment, public safety and urban traffic;
the geographic information platform is also used for acquiring a data model from the data middling station and issuing and displaying the overall service for cities, events and personnel information on the basis of the data model;
the data center station still is used for right the wisdom city theme storehouse is categorised, and the wisdom city theme storehouse after will categorised sends to the cockpit system, the wisdom city theme storehouse after the cockpit system will classify demonstrates, and the form of show includes statistical chart, radar chart, thermodynamic diagram, the cockpit system still according to wisdom city theme storehouse generates the aid decision scheme.
10. An electronic device, comprising:
a processor; and the number of the first and second groups,
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the method of any one of claims 1-4.
CN202111672399.4A 2021-12-31 2021-12-31 Smart city operation sign big data analysis method and device Pending CN114418360A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111672399.4A CN114418360A (en) 2021-12-31 2021-12-31 Smart city operation sign big data analysis method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111672399.4A CN114418360A (en) 2021-12-31 2021-12-31 Smart city operation sign big data analysis method and device

Publications (1)

Publication Number Publication Date
CN114418360A true CN114418360A (en) 2022-04-29

Family

ID=81271506

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111672399.4A Pending CN114418360A (en) 2021-12-31 2021-12-31 Smart city operation sign big data analysis method and device

Country Status (1)

Country Link
CN (1) CN114418360A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116090690A (en) * 2022-11-10 2023-05-09 汇智智能科技有限公司 Three-dimensional security situation sensing system
CN116319896A (en) * 2023-05-12 2023-06-23 广东省电信规划设计院有限公司 Block chain-based Internet of things perception key information processing method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116090690A (en) * 2022-11-10 2023-05-09 汇智智能科技有限公司 Three-dimensional security situation sensing system
CN116319896A (en) * 2023-05-12 2023-06-23 广东省电信规划设计院有限公司 Block chain-based Internet of things perception key information processing method and device

Similar Documents

Publication Publication Date Title
Lim et al. Understanding the linkages of smart-city technologies and applications: Key lessons from a text mining approach and a call for future research
CN114418360A (en) Smart city operation sign big data analysis method and device
CN109388663A (en) A kind of big data intellectualized analysis platform of security fields towards the society
CN113240403A (en) Engineering construction project management system and method based on multi-source data
CN109978619B (en) Method, system, equipment and medium for screening air ticket pricing strategy
CN112446549A (en) Urban garbage intelligent supervision platform based on big data
CN112749653A (en) Pedestrian detection method, device, electronic equipment and storage medium
CN114492663A (en) Intelligent event distribution method, device, equipment and storage medium
CN112418571A (en) Method and device for enterprise environmental protection comprehensive evaluation
CN115829124A (en) Charging pile address selection method, device, equipment and storage medium
CN111639706A (en) Personal risk portrait generation method based on image set and related equipment
CN114781768B (en) Parking lot facility planning method, device and equipment based on urban resource data
Xia et al. A parallel grid-search-based SVM optimization algorithm on Spark for passenger hotspot prediction
CN113516417A (en) Service evaluation method and device based on intelligent modeling, electronic equipment and medium
CN114626735A (en) Urging case allocation method, urging case allocation device, urging case allocation equipment and computer readable storage medium
CN113706291A (en) Fraud risk prediction method, device, equipment and storage medium
Boeing et al. Urban analytics: History, trajectory and critique
CN112765127B (en) Construction method and device of traffic data warehouse, storage medium and terminal
CN106355537A (en) Smart analysis method and system for interrelated cases
CN114219023A (en) Data clustering method and device, electronic equipment and readable storage medium
Gunawardena et al. Real-time Uber data analysis of popular Uber locations in Kubernetes environment
CN111159107B (en) Data processing method and server cluster
CN116012019A (en) Financial wind control management system based on big data analysis
CN116028467A (en) Intelligent service big data modeling method, system, storage medium and computer equipment
CN113052486B (en) Monitoring point location layout evaluation method and device, electronic equipment and readable storage medium

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