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

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 governance method, device, equipment and storage medium based on big data analysis

technical field

Embodiments of the present invention relate to the technical field of community governance, and in particular, to a method, device, device and storage medium for community governance based on big data analysis.

Background technique

As the basic unit of urban social system, community is closely related to urban social and economic development and individual life. Community governance generally refers to the dynamic process of a series of decision-making and actions in order to achieve the goal of community development and deal with public affairs within the community.

In the prior art, during community governance, corresponding community governance measures are formulated through fixed assessment rules or the completion of a single event, which not only fails to meet the changing needs of community users, but also fails to provide targeted solutions. Problems in the community make community governance inefficient, and improper measures will result in a waste of costs.

SUMMARY OF THE INVENTION

The embodiments of the present invention provide a community governance method, device, equipment and storage medium based on big data analysis, which can improve the efficiency of community governance and avoid waste of community governance costs.

In a first aspect, an embodiment of the present invention provides a community governance method based on big data analysis, the method comprising:

Obtain multi-dimensional data of the target community, and perform big data analysis on the multi-dimensional data to obtain a data resource catalog; the data resource catalog is displayed in a set mode;

Receive a configuration instruction input by the user based on the data resource directory, and obtain a target data analysis result according to the configuration instruction;

Determine community governance measures according to the target data analysis results.

Further, the multi-dimensional data includes personnel dimension data, location dimension data, event dimension data, item dimension data, public sentiment dimension data and organization dimension data.

Further, performing big data analysis on the multi-dimensional data to obtain a data resource catalog, including:

Converting the multi-dimensional data into data in a standard format, and cleaning the converted data;

Integrate the cleaned data by category to obtain a data resource catalog.

Further, obtaining the target data analysis result according to the configuration instruction, including:

Acquire target data according to the configuration instruction; the target data consists of data of at least two dimensions;

The target data is analyzed and processed to obtain an analysis result of the target data.

Further, after obtaining the target data analysis result according to the configuration instruction, it also includes:

The geographic information is associated with the target data analysis result, so that the target data analysis result is displayed in the form of a map.

Further, before receiving the configuration instruction input by the user based on the data resource directory, the method includes:

Receive the authentication information entered by the user;

Determine the user's operation authority according to the authentication information;

Correspondingly, when receiving a configuration instruction input by a user based on the data resource directory, the method includes:

The data resource directory within the operation authority is displayed, and a configuration instruction input by the user based on the data resource directory within the operation authority is received.

Further, the setting mode includes a data cube mode.

In a second aspect, an embodiment of the present invention further provides a community governance device based on big data analysis, the device comprising:

a data resource directory acquisition module, used for acquiring multi-dimensional data of the target community, and performing big data analysis on the multi-dimensional data to obtain a data resource directory; the data resource directory is displayed in a set mode;

A target data analysis result acquisition module, configured to receive a configuration instruction input by a user based on the data resource catalog, and acquire a target data analysis result according to the configuration instruction;

A community governance measure determination module, configured to determine community governance 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 running on the processor, the processor implementing the program as described in the present invention when the processor executes the program The community governance method based on big data analysis described in the embodiment.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the method for community governance based on big data analysis according to the embodiment of the present invention .

In this embodiment of the present invention, multi-dimensional data of the target community is first acquired, and a data resource catalog is obtained by performing big data analysis on the multi-dimensional data; then a configuration instruction input by the user based on the data resource catalog is received, and the target data analysis result is obtained according to the configuration instruction, and finally Determine community governance measures based on the results of target data analysis. In the community governance method provided by the embodiments of the present invention, the multi-dimensional data of the target community is analyzed by big data to generate a data resource directory, so that the determined community governance measures are more targeted, the efficiency of community governance can be improved, and the cost of community governance can be avoided. waste.

Description of drawings

1 is a flowchart of a method for community governance based on big data analysis in Embodiment 1 of the present invention;

2 is a schematic diagram of a community governance method based on big data analysis in Embodiment 1 of the present invention;

3 is a schematic structural diagram of a community governance device based on big data analysis in Embodiment 2 of the present invention;

FIG. 4 is a schematic structural diagram of a computer device in Embodiment 3 of the present invention.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, the drawings only show some but not all structures related to the present invention.

Example 1

1 is a flowchart of a method for community governance based on big data analysis provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of community governance, and the method can be implemented by a community governance device based on big data analysis. For execution, the apparatus may be composed of hardware and/or software, and may generally be integrated into a device with a community governance function based on big data analysis, which may be an electronic device such as a server, a mobile terminal, or a server cluster. As shown in Figure 1, the method specifically includes the following steps:

Step 110: Acquire multi-dimensional data of the target community, and perform big data analysis on the multi-dimensional data to obtain a data resource directory.

Among them, the data resource directory is displayed in the setting mode. The target community can be understood as the administratively divided urban area to be governed. The multi-dimensional data may include personnel dimension data, location dimension data, event dimension data, item dimension data, public sentiment dimension data, and organization dimension data. The personnel dimension data can include the basic information, responsibilities and other information of managers in the target community; the location dimension data can be the coverage area; the event dimension data can include the time, location, description of the event and the handling of the event. and other information, such as special emergencies, emergencies and regular events; item dimension data can include the category of the item, the area where the object is located, the damage information of the item, and the maintenance information of the item, such as management components and monitoring equipment, etc.; the dimension data of public sentiment It can include the public sentiment information in the target community, such as attention to special residents, service information, etc.; the organizational dimension data can include information such as legal persons, social groups, government agencies, and individual businesses in the target community. In this embodiment, the setting mode may be a data cube mode.

Specifically, the process of performing big data analysis on multi-dimensional data to obtain a data resource catalog may be: converting multi-dimensional data into data in a standard format, and cleaning the converted data; Integrate to obtain a catalog of data resources.

In this embodiment, the multi-dimensional data is first aggregated into the cloud computing resource pool, the multi-dimensional data is formatted and cleaned by the cloud computing resource pool, and the multi-dimensional data is converted into data in a standard format. The data in the standard format is cleaned, and the data that does not meet the conditions is cleaned. The cleaned data is sent to the data resource integration platform, and the cleaned data is integrated and processed according to the categories in the data resource integration platform to obtain a data resource directory. Optionally, a big data analysis and computing platform can be built in the data resource integration platform to perform analysis and computation on the data. After obtaining the data resource directory, display it in the data cube mode.

Step 120: Receive a configuration instruction input by the user based on the data resource directory, and obtain the 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 directory displayed in the data cube mode, and the terminal obtains the target data analysis result according to the configuration instruction input by the user.

The method of obtaining the target data analysis result according to the configuration instruction may be: obtaining the target data according to the configuration instruction; wherein 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.

Specifically, after receiving the configuration instruction input by the user, obtain target data consisting of data of at least two dimensions from the data resource integration platform according to the configuration instruction, and then analyze and process the target data by the big data analysis and computing platform to obtain the target data. Data analysis results.

Optionally, after acquiring the target data analysis result according to the configuration instruction, the following step is further included: associating geographic information with the target data analysis result, so that the target data analysis result is displayed in the form of a map.

In this embodiment, the target data analysis result includes the geographic location corresponding to each data, and the geographic information and the target data analysis result are associated with the geographic information system, and the target data analysis result is displayed in the form of a map, which can make the user intuitive See the results of targeted data analysis to discover what's wrong with your community and what's causing it.

Optionally, before receiving the configuration instruction input by the user based on the data resource directory, it further includes the following steps: receiving the authentication information input by the user; determining the user's operation authority according to the authentication information; The configuration instruction includes: displaying the data resource directory within the operation authority, and receiving a configuration instruction input by the user based on the data resource directory within the operation authority.

Step 130: Determine community governance measures according to the target data analysis result.

Specifically, after obtaining the target data analysis result, the corresponding community governance measures are determined according to the problems existing in the community contained in the target data analysis result and the causes of the problems, so as to guide the relevant personnel to conduct reasonable governance of the community.

Exemplarily, 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 Figure 2, the multi-dimensional data is first aggregated into the cloud computing resource pool, and after being processed by the cloud computing resource pool, the data is sent to the data resource integration platform, and the data resource integration platform performs big data analysis on the multi-dimensional data to obtain a data resource directory. And display it in the mode of data cube. A user who has passed the authentication and has certain control authority configures the data through the data cube, analyzes the target data according to the configuration instructions input by the user, obtains the analysis result of the target data, and then uses the geographic information system to display the analysis result of the target data in the form of a map , and at the same time determine community management measures based on the results of target data analysis.

The technical solution of this embodiment is to first obtain the multi-dimensional data of the target community, and perform big data analysis on the multi-dimensional data to obtain a data resource catalog; then receive a configuration instruction input by the user based on the data resource catalog, and obtain the target data analysis result according to the configuration instruction , and finally determine community governance measures based on the results of target data analysis. In the community governance method provided by the embodiments of the present invention, the multi-dimensional data of the target community is analyzed by big data to generate a data resource directory, so that the determined community governance measures are more targeted, the efficiency of community governance can be improved, and the cost of community governance can be avoided. waste.

Embodiment 2

FIG. 3 is a schematic structural diagram of a community governance device based on big data analysis according to Embodiment 2 of the present invention. As shown in FIG. 3 , the apparatus includes: a data resource directory acquisition module 210 , a target data analysis result acquisition module 220 and a community governance measure determination module 230 .

The data resource catalog acquisition module 210 is used to obtain multi-dimensional data of the target community, and perform 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 obtaining module 220 is configured to receive the configuration instruction input by the user based on the data resource catalog, and obtain the target data analysis result according to the configuration instruction;

The community governance measure determination module 230 is configured to determine the community governance measure according to the target data analysis result.

Optionally, the multi-dimensional data includes personnel dimension data, location dimension data, event dimension data, item dimension data, public sentiment dimension data, and organization dimension data.

Optionally, the data resource directory obtaining module 210 is further configured to:

Convert multi-dimensional data into data in a standard format, and clean the converted data;

Integrate the cleaned data by category to obtain a data resource catalog.

Optionally, the target data analysis result acquisition module 220 is also used for:

Obtain target data according to configuration instructions; target data consists of data of at least two dimensions;

Analyze and process target data to obtain target data analysis results.

Optionally, also includes: an association module for:

The geographic information is associated with the target data analysis results, so that the target data analysis results are displayed in the form of a map.

Optionally, also includes: an authentication module for:

Receive the authentication information entered by the user;

Determine the user's operation authority according to the authentication information;

Correspondingly, when receiving the configuration instruction input by the user based on the data resource directory, including:

Display the data resource directory within the operation authority, and receive the configuration instruction input by the user based on the data resource directory within the operation authority.

Optionally, the setting mode includes a data cube mode.

The above-mentioned apparatus can execute the methods provided by all the foregoing embodiments of the present invention, and has corresponding functional modules and beneficial effects for executing the above-mentioned methods. For technical details not described in detail in this embodiment, reference may be made to the methods provided by all the foregoing embodiments of the present invention.

Embodiment 3

FIG. 4 is a schematic structural diagram of a computer device according to Embodiment 3 of the present invention. Figure 4 shows 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 impose any limitation on the function and scope of use of the embodiments of the present invention. Device 312 is typically a computing device for community governance functions based on big data analysis.

As shown in FIG. 4, computer device 312 takes the form of a general-purpose computing device. Components of computer device 312 may include, but are not limited to, one or more processors 316, storage 328, and a bus 318 connecting various system components including storage 328 and processor 316.

The bus 318 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of a variety of bus structures. For example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, enhanced ISA bus, Video Electronics Standards Association (Video Electronics Standards Association) , VESA) local bus and peripheral component interconnect (Peripheral Component Interconnect, PCI) bus.

Computer device 312 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 312, including 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 . Computer device 312 may further include other removable/non-removable, volatile/non-volatile computer system storage media. For example only, storage system 334 may be used to read and write to non-removable, non-volatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading and writing to removable non-volatile magnetic disks (eg "floppy disks") and removable non-volatile optical disks (eg Compact Disc-Read only) may be provided. Read Only Memory, CD-ROM), Digital Video Disc (Digital Video Disc-Read Only Memory, DVD-ROM) or other optical media) read and write optical disc drives. In these cases, each drive may be connected to bus 318 through one or more data media interfaces. Storage 328 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of various embodiments of the present invention.

A program 336 having a set (at least one) of program modules 326, which may be stored, for example, in a storage device 328, such program modules 326 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, which An implementation of a network environment may be included in each or some combination of the examples. Program modules 326 generally perform the functions and/or methods of the described embodiments of the present invention.

The computer device 312 may also communicate with one or more external devices 314 (eg, a keyboard, pointing device, camera, display 324, etc.), and may also communicate with one or more devices that enable a user to interact with the computer device 312, and/or Or with any device (eg, network card, modem, etc.) that enables the computer device 312 to communicate with one or more other computing devices. Such communication may take place through input/output (I/O) interface 322 . Also, computer device 312 may communicate with one or more networks (eg, Local Area Network (LAN), Wide Area Network, WAN) and/or public networks, such as the Internet, through network adapter 320 . As shown, network adapter 320 communicates with other modules of computer device 312 via bus 318 . It should be understood that, although not shown, other hardware and/or software modules may be used in conjunction with computer device 312, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, Redundant Arrays of Independent Disks, RAID) systems, tape drives, and data backup storage systems.

The processor 316 executes various functional applications and data processing by running the programs stored in the storage device 328, for example, implementing the community governance method based on big data analysis provided by the above embodiments of the present invention.

Embodiment 4

The fourth embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, implements the big data analysis-based community governance method provided by the embodiment of the present invention.

Of course, in the computer-readable storage medium provided by the embodiment of the present invention, the computer program stored on it is not limited to the above-mentioned method operations, and can also perform the community governance based on big data analysis provided by any embodiment of the present invention. related operations in the method.

The computer storage medium in the embodiments of the present invention may adopt any combination of one or more computer-readable mediums. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples (a non-exhaustive list) of computer readable storage media include: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

A computer-readable signal medium may include a propagated data signal in baseband or as part of a carrier wave, with computer-readable program code embodied thereon. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device .

Program code embodied on a computer readable medium may be transmitted using any suitable 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 of the present invention may be written in one or more programming languages, including object-oriented programming languages—such as Java, Smalltalk, C++, but also conventional Procedural programming language - such as the "C" language or similar programming language. 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 kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider via Internet connection).

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention. The scope is determined by the scope of the appended claims.

Claims (9)

1. A community governance method based on big data analysis is characterized in that, comprising: Obtain multi-dimensional data of the target community, and perform 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; Receive a configuration instruction input by the user based on the data resource directory, and obtain a target data analysis result according to the configuration instruction; Determine community governance measures according to the analysis results of the target data; The obtaining the target data analysis result according to the configuration instruction includes: Acquire target data according to the configuration instruction; the target data consists of data of at least two dimensions; The target data is analyzed and processed to obtain an analysis result of the target data. 2 . The method according to claim 1 , wherein the multi-dimensional data includes personnel dimension data, location dimension data, event dimension data, item dimension data, public sentiment dimension data and organization dimension data. 3 . 3. The method according to claim 2, wherein the multi-dimensional data is subjected to big data analysis to obtain a data resource catalog, comprising: Converting the multi-dimensional data into data in a standard format, and cleaning the converted data; Integrate the cleaned data by category to obtain a data resource catalog. 4. The method according to claim 2, wherein after acquiring the target data analysis result according to the configuration instruction, further comprising: The geographic information is associated with the target data analysis result, so that the target data analysis result is displayed in the form of a map. 5. The method according to claim 1, wherein before receiving a configuration instruction input by a user based on the data resource directory, the method further comprises: Receive the authentication information entered by the user; Determine the user's operation authority according to the authentication information; Correspondingly, when receiving a configuration instruction input by a user based on the data resource directory, the method includes: The data resource directory within the operation authority is displayed, and a configuration instruction input by the user based on the data resource directory within the operation authority is received. 6. The method of claim 1, wherein the setting mode comprises a data magic cube mode. 7. A community governance device based on big data analysis, comprising: a data resource directory acquisition module, used for acquiring multi-dimensional data of the target community, and performing big data analysis on the multi-dimensional data to obtain a data resource directory; wherein, the data resource directory is displayed in a set mode; A target data analysis result acquisition module, configured to receive a configuration instruction input by a user based on the data resource catalog, and acquire a target data analysis result according to the configuration instruction; a community governance measure determination module, used for determining community governance measures according to the target data analysis result; The target data analysis result acquisition module is also used for: Acquire target data according to the configuration instruction; the target data consists of data of at least two dimensions; The target data is analyzed and processed 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 running on the processor, wherein the processor implements any of claims 1-6 when the processor executes the program. A community governance method based on big data analysis. 9 . A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the method for community governance based on big data analysis according to any one of claims 1 to 6 is implemented.

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