CN110458743B - Community management method, device, equipment and storage medium based on big data analysis - Google Patents

Community management method, device, equipment and storage medium based on big data analysis Download PDF

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CN110458743B
CN110458743B CN201910740857.XA CN201910740857A CN110458743B CN 110458743 B CN110458743 B CN 110458743B CN 201910740857 A CN201910740857 A CN 201910740857A CN 110458743 B CN110458743 B CN 110458743B
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CN110458743A (en
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郭银波
王海生
扈文成
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Softcom Smart Information Technology Co ltd
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Abstract

The embodiment of the invention discloses a community management method, a community management device, community management equipment and a storage medium based on big data analysis. The method comprises the following steps: obtaining multi-dimensional data of a target community, and performing big data analysis on the multi-dimensional data to obtain a data resource catalog; wherein, the data resource catalog is displayed in a set mode; receiving a configuration instruction input by a user based on the data resource directory, and acquiring a target data analysis result according to the configuration instruction; and determining community treatment measures according to the target data analysis result. According to the community management method provided by the embodiment of the invention, the multidimensional data of the target community is subjected to big data analysis to generate the data resource catalog, so that the determined community management measures are more targeted, the community management efficiency can be improved, and the waste of community management cost is avoided.

Description

Community management method, device, equipment and storage medium based on big data analysis
Technical Field
The embodiment of the invention relates to the technical field of community management, in particular to a community management method, a community management device, community management equipment and a storage medium based on big data analysis.
Background
Communities serve as basic building blocks of urban social systems and are closely related to urban social economic development and individual life. Community governance generally refers to a dynamic process of processing a series of decisions and actions for public affairs within a community to achieve the goal of community development.
In the prior art, when community management is performed, corresponding community management measures are formulated through fixed assessment rules or single event completion conditions, the mode cannot meet variable requirements of community users, and the problems occurring in the community cannot be solved in a targeted mode, so that the community management efficiency is low, and the cost is wasted due to improper measures.
Disclosure of Invention
The embodiment of the invention provides a community management method, a device, equipment and a storage medium based on big data analysis, which can improve the efficiency of community management and avoid the waste of community management cost.
In a first aspect, an embodiment of the present invention provides a community governance method based on big data analysis, where the method includes:
obtaining multi-dimensional data of a target community, and performing big data analysis on the multi-dimensional data to obtain a data resource catalog; the data resource catalog is displayed in a set mode;
receiving a configuration instruction input by a user based on the data resource directory, and acquiring a target data analysis result according to the configuration instruction;
and determining community treatment measures according to the target data analysis result.
Further, the multi-dimensional data includes personnel dimensional data, location dimensional data, event dimensional data, item dimensional data, civil conditions dimensional data, and organization dimensional data.
Further, performing big data analysis on the multidimensional data to obtain a data resource catalog, including:
converting the multi-dimensional data into data with a set standard format, and cleaning the converted data;
and integrating the cleaned data according to the categories to obtain a data resource catalog.
Further, obtaining a target data analysis result according to the configuration instruction includes:
acquiring target data according to the configuration instruction; the target data is composed of data of at least two dimensions;
and analyzing and processing the target data to obtain a target data analysis result.
Further, after obtaining the target data analysis result according to the configuration instruction, the method further includes:
and associating the geographic information with the target data analysis result so as to display the target data analysis result in a map form.
Further, before receiving a configuration instruction input by a user based on the data resource catalog, the method includes:
receiving authentication information input by a user;
determining the operation authority of the user according to the authentication information;
correspondingly, the receiving of the configuration instruction input by the user based on the data resource catalog includes:
and displaying the data resource catalog in the operation authority, and receiving a configuration instruction input by a user based on the data resource catalog in the operation authority.
Further, the setting mode includes a data magic cube mode.
In a second aspect, an embodiment of the present invention further provides a community management device based on big data analysis, where the device includes:
the data resource catalog acquisition module is used for acquiring multi-dimensional data of a target community and carrying out big data analysis on the multi-dimensional data to obtain a data resource catalog; the data resource catalog is displayed in a set mode;
the target data analysis result acquisition module is used for receiving a configuration instruction input by a user based on the data resource directory and acquiring a target data analysis result according to the configuration instruction;
and the community treatment measure determining module is used for determining community treatment measures according to the target data analysis result.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the community governance method based on big data analysis according to the embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the community governance method based on big data analysis according to the embodiment of the present invention.
The method comprises the steps of firstly, obtaining multi-dimensional data of a target community, and carrying out big data analysis on the multi-dimensional data to obtain a data resource catalog; and then receiving a configuration instruction input by a user based on the data resource catalog, acquiring a target data analysis result according to the configuration instruction, and finally determining a community treatment measure according to the target data analysis result. According to the community management method provided by the embodiment of the invention, the multidimensional data of the target community is subjected to big data analysis to generate the data resource catalog, so that the determined community management measures are more targeted, the community management efficiency can be improved, and the waste of community management cost is avoided.
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FIG. 1 is a flow chart of a community governance method based on big data analysis in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a community governance method based on big data analysis according to a first embodiment of the present invention;
fig. 3 is a schematic structural diagram of a community governance device based on big data analysis in the second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a community governance method based on big data analysis according to an embodiment of the present invention, where this embodiment is applicable to a situation of governance of a community, and the method may be executed by a community governance device based on big data analysis, where the device may be composed of hardware and/or software, and may be generally integrated in a device having a community governance function based on big data analysis, where the device may be an electronic device such as a server, a mobile terminal, or a server cluster. As shown in fig. 1, the method specifically includes the following steps:
and step 110, obtaining multi-dimensional data of the target community, and performing big data analysis on the multi-dimensional data to obtain a data resource catalog.
The data resource catalog is displayed in a set mode. The target community can be understood as an administrative urban area to be treated. The multi-dimensional data may include people dimensional data, places dimensional data, events dimensional data, items dimensional data, demographics dimensional data, and organization dimensional data. The personnel dimension data can comprise basic information, responsibility and other information of management personnel in the target community; the location dimension data may be a regional scope of coverage; the event dimension data can include information such as the time, place, description of the event, handling situation of the event, and the like of the event, such as an emergency event, and a conventional event; the article dimension data can include the category of the article, the area where the object is located, damage information of the article, maintenance information of the article and the like, such as management components, monitoring equipment and the like; the folk situation dimension data can comprise folk situation information in the target community, such as attention to special residents, service information and the like; the organizational dimension data may include information about legal persons, social groups, institutional units, i.e., individual trades, etc. in the target community. In this embodiment, the setting mode may be a data magic cube mode.
Specifically, the process of performing big data analysis on the multidimensional data to obtain the data resource catalog may be: converting the multidimensional data into data with a set standard format, and cleaning the converted data; and integrating the cleaned data according to the categories to obtain a data resource catalog.
In this embodiment, the multidimensional data is firstly summarized to the cloud computing resource pool, the cloud computing resource pool performs format conversion and cleaning on the multidimensional data, the multidimensional data is converted into data in a set standard format, then the data in the set standard format is cleaned, and the data which does not meet the conditions is cleaned. And sending the cleaned data to a data resource integration platform, and integrating the cleaned data in the data resource integration platform according to categories to obtain a data resource catalog. Optionally, a big data analysis and calculation platform may be constructed in the data resource integration platform to perform analysis and calculation on the data. And after the data resource catalog is obtained, displaying in a data magic cube mode.
And 120, receiving a configuration instruction input by a user based on the data resource directory, and acquiring a target data analysis result according to the configuration instruction.
The user may be an authenticated user with certain control authority. The user configures the data based on the data resource catalog displayed in the data magic cube mode, and the terminal obtains a target data analysis result according to a configuration instruction input by the user.
The method for obtaining the target data analysis result according to the configuration instruction may be: acquiring target data according to the configuration instruction; wherein the target data consists of data of at least two dimensions; and analyzing and processing the target data to obtain a target data analysis result.
Specifically, after a configuration instruction input by a user is received, target data composed of data of at least two dimensions is acquired from a data resource integration platform according to the configuration instruction, and then the target data is analyzed and processed by a big data analysis and calculation platform to obtain a target data analysis result.
Optionally, after obtaining the target data analysis result according to the configuration instruction, the method further includes the following steps: and associating the geographic information with the target data analysis result so as to display the target data analysis result in a map form.
In this embodiment, the target data analysis result includes a geographic location corresponding to each data, the geographic information system is used to correlate the geographic information with the target data analysis result, and the target data analysis result is displayed in a map form, so that a user can visually see the target data analysis result, and thus, the problem in the community and the reason for causing the problem are found.
Optionally, before receiving a configuration instruction input by a user based on the data resource directory, the method further includes the following steps: receiving authentication information input by a user; determining the operation authority of the user according to the authentication information; correspondingly, the method for receiving the configuration instruction input by the user based on the data resource catalog comprises the following steps: and displaying the data resource catalog in the operation authority, and receiving a configuration instruction input by a user based on the data resource catalog in the operation authority.
And step 130, determining community treatment measures according to the target data analysis result.
Specifically, after the target data analysis result is obtained, corresponding community management measures are determined according to the problems of the community and the reasons for causing the problems included in the target data analysis result, so that related personnel are guided to reasonably manage the community.
For example, fig. 2 is a schematic diagram of a community governance method based on big data analysis in an embodiment of the present invention. As shown in fig. 2, firstly, the multidimensional data is summarized to a cloud computing resource pool, the data is sent to a data resource integration platform after being processed by the cloud computing resource pool, and the data resource integration platform performs big data analysis on the multidimensional data to obtain a data resource catalog, and displays the data resource catalog in a data magic cube mode. And the user who passes the authentication and has a certain control authority carries out data configuration through the data magic cube, analyzes the target data according to a configuration instruction input by the user to obtain a target data analysis result, displays the target data analysis result in a map form by utilizing a geographic information system, and determines community management measures according to the target data analysis result.
According to the technical scheme of the embodiment, firstly, multi-dimensional data of a target community are obtained, and big data analysis is carried out on the multi-dimensional data to obtain a data resource catalog; and then receiving a configuration instruction input by a user based on the data resource catalog, acquiring a target data analysis result according to the configuration instruction, and finally determining a community treatment measure according to the target data analysis result. According to the community management method provided by the embodiment of the invention, the multidimensional data of the target community is subjected to big data analysis to generate the data resource catalog, so that the determined community management measures are more targeted, the community management efficiency can be improved, and the waste of community management cost is avoided.
Example two
Fig. 3 is a schematic structural diagram of a community governance device based on big data analysis according to a second embodiment of the present invention. As shown in fig. 3, the apparatus includes: a data resource catalog acquisition module 210, a target data analysis result acquisition module 220 and a community governance measure determination module 230.
The data resource catalog obtaining module 210 is configured to obtain multidimensional data of the target community, and perform big data analysis on the multidimensional data to obtain a data resource catalog; wherein, the data resource catalog is displayed in a set mode;
a target data analysis result obtaining module 220, configured to receive a configuration instruction input by a user based on the data resource directory, and obtain a target data analysis result according to the configuration instruction;
and a community governance measure determining module 230, configured to determine a community governance measure according to the target data analysis result.
Optionally, the multidimensional data includes personnel dimension data, location dimension data, event dimension data, item dimension data, civil conditions dimension data, and organization dimension data.
Optionally, the data resource catalog obtaining module 210 is further configured to:
converting the multidimensional data into data with a set standard format, and cleaning the converted data;
and integrating the cleaned data according to the categories to obtain a data resource catalog.
Optionally, the target data analysis result obtaining module 220 is further configured to:
acquiring target data according to the configuration instruction; the target data is composed of data of at least two dimensions;
and analyzing and processing the target data to obtain a target data analysis result.
Optionally, the method further includes: an association module to:
and associating the geographic information with the target data analysis result so as to display the target data analysis result in a map form.
Optionally, the method further includes: an authentication module to:
receiving authentication information input by a user;
determining the operation authority of the user according to the authentication information;
correspondingly, the method for receiving the configuration instruction input by the user based on the data resource catalog comprises the following steps:
and displaying the data resource catalog in the operation authority, and receiving a configuration instruction input by a user based on the data resource catalog in the operation authority.
Optionally, the setting mode includes a data magic cube mode.
The device can execute the methods provided by all the embodiments of the invention, and has corresponding functional modules and beneficial effects for executing the methods. For details not described in detail in this embodiment, reference may be made to the methods provided in all the foregoing embodiments of the present invention.
EXAMPLE III
Fig. 4 is a schematic structural diagram of a computer device according to a third embodiment of the present invention. FIG. 4 illustrates a block diagram of a computer device 312 suitable for use in implementing embodiments of the present invention. The computer device 312 shown in FIG. 4 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention. Device 312 is typically a computing device based on community governance functionality for big data analytics.
As shown in FIG. 4, computer device 312 is in the form of a general purpose computing device. The components of computer device 312 may include, but are not limited to: one or more processors 316, a storage device 328, and a bus 318 that couples the various system components including the storage device 328 and the processors 316.
Bus 318 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.
Computer device 312 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 312 and includes both volatile and nonvolatile media, removable and non-removable media.
Storage 328 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 330 and/or cache Memory 332. The computer device 312 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 334 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk-Read Only Memory (CD-ROM), a Digital Video disk (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 318 by one or more data media interfaces. Storage 328 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
Program 336 having a set (at least one) of program modules 326 may be stored, for example, in storage 328, such program modules 326 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which may comprise an implementation of a network environment, or some combination thereof. Program modules 326 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.
The computer device 312 may also communicate with one or more external devices 314 (e.g., keyboard, pointing device, camera, display 324, etc.), with one or more devices that enable a user to interact with the computer device 312, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 312 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 322. Also, computer device 312 may communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), etc.) and/or a public Network, such as the internet, via Network adapter 320. As shown, network adapter 320 communicates with the other modules of computer device 312 via bus 318. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computer device 312, including but not limited to: microcode, device drivers, Redundant processing units, external disk drive Arrays, disk array (RAID) systems, tape drives, and data backup storage systems, to name a few.
The processor 316 executes programs stored in the storage 328 to perform various functional applications and data processing, for example, implementing the community governance method based on big data analysis provided in the above-described embodiment of the present invention.
Example four
The fourth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the community governance method based on big data analysis provided in the embodiments of the present invention.
Of course, the computer program stored on the computer-readable storage medium provided by the embodiment of the present invention is not limited to the method operations described above, and may also perform related operations in the community governance method based on big data analysis provided by any embodiment of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (9)

1. A community governance method based on big data analysis is characterized by comprising the following steps:
obtaining multi-dimensional data of a target community, and performing big data analysis on the multi-dimensional data to obtain a data resource catalog; wherein, the data resource catalog is displayed in a set mode;
receiving a configuration instruction input by a user based on the data resource directory, and acquiring a target data analysis result according to the configuration instruction;
determining community treatment measures according to the target data analysis result;
the obtaining of the target data analysis result according to the configuration instruction includes:
acquiring target data according to the configuration instruction; the target data is composed of data of at least two dimensions;
and analyzing and processing the target data to obtain a target data analysis result.
2. The method of claim 1, wherein the multi-dimensional data comprises people dimensional data, places dimensional data, events dimensional data, items dimensional data, demographics dimensional data, and organization dimensional data.
3. The method of claim 2, wherein performing big data analysis on the multidimensional data to obtain a data resource catalog comprises:
converting the multi-dimensional data into data with a set standard format, and cleaning the converted data;
and integrating the cleaned data according to the categories to obtain a data resource catalog.
4. The method of claim 2, after obtaining target data analysis results according to the configuration instructions, further comprising:
and associating the geographic information with the target data analysis result so as to display the target data analysis result in a map form.
5. The method of claim 1, prior to receiving a configuration instruction entered by a user based on the data resource directory, further comprising:
receiving authentication information input by a user;
determining the operation authority of the user according to the authentication information;
correspondingly, the receiving of the configuration instruction input by the user based on the data resource catalog includes:
and displaying the data resource catalog in the operation authority, and receiving a configuration instruction input by a user based on the data resource catalog in the operation authority.
6. The method of claim 1, wherein the setting mode comprises a data magic cube mode.
7. The utility model provides a community administers device based on big data analysis which characterized in that includes:
the data resource catalog acquisition module is used for acquiring multi-dimensional data of a target community and carrying out big data analysis on the multi-dimensional data to obtain a data resource catalog; wherein, the data resource catalog is displayed in a set mode;
the target data analysis result acquisition module is used for receiving a configuration instruction input by a user based on the data resource directory and acquiring a target data analysis result according to the configuration instruction;
the community treatment measure determining module is used for determining community treatment measures according to the target data analysis result;
the target data analysis result acquisition module is further configured to:
acquiring target data according to the configuration instruction; the target data is composed of data of at least two dimensions;
and analyzing and processing the target data to obtain the target data analysis result.
8. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the big data analytics based community governance method of any one of claims 1-6.
9. A computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements a big data analytics-based community governance method according to any one of claims 1-6.
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