CN116662345A - Public service management system and method based on big data - Google Patents

Public service management system and method based on big data Download PDF

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CN116662345A
CN116662345A CN202310691284.2A CN202310691284A CN116662345A CN 116662345 A CN116662345 A CN 116662345A CN 202310691284 A CN202310691284 A CN 202310691284A CN 116662345 A CN116662345 A CN 116662345A
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data
preset
public service
analysis model
service management
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楚明超
张德杨
高俊
张敏
艾栋
周惠来
高磊
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Henan Provincial Science And Technology Information Center
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    • G06Q50/10—Services
    • G06Q50/26—Government or public services

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Abstract

The invention relates to the technical field of data service, in particular to a public service management system and method based on big data, wherein the method comprises the following steps: acquiring preset data from a plurality of data sources, and storing the preset data into a basic database; responding to received request data, and acquiring a decision scene corresponding to the request data; acquiring a data analysis model which corresponds to the request data and accords with the decision scene according to the basic database; and providing corresponding data service by adopting the data analysis model. The technical scheme provided by the invention can improve the service quality of the public service management system and achieve the purpose of improving the user experience.

Description

Public service management system and method based on big data
Technical Field
The invention relates to the technical field of data service, in particular to a public service management system and method based on big data.
Background
Scientific achievements refer to achievements with practical value generated by scientific research and technical development, and are knowledge products with certain accepted academic or economic value, which are obtained by people through complex intellectual labor in scientific and technical activities. In order to manage the scientific and technological achievements, a scientific and technological management system can be established to record and store the scientific and technological achievements, and a corresponding access interface is provided for users to inquire and analyze the scientific and technological achievements.
Because of the characteristics of multiple data sources and data volume, how to effectively use the data is an important factor for improving the service quality of the public service management system. Most public service management systems in the prior art only can provide data storage and query services, and cannot provide corresponding specific decision services for specific application scenes, so that the public service management system has the problem of poor service quality, and user experience is reduced.
Disclosure of Invention
In view of the above problems, the present invention is directed to providing a public service management system and method based on big data, which overcome the above problems or at least partially solve the above problems, and can improve the service quality of the public service system, so as to achieve the purpose of improving the user experience.
Specifically, the invention provides a public service management method based on big data, comprising the following steps:
acquiring preset data from a plurality of data sources, and storing the preset data into a basic database;
responding to received request data, and acquiring a decision scene corresponding to the request data;
acquiring a data analysis model which corresponds to the request data and accords with the decision scene according to the basic database;
and providing corresponding data service by adopting the data analysis model.
According to one embodiment of the present invention, the base database is a distributed database, and the storing the preset data in the base database includes:
and storing the preset data into the basic database according to a preset distributed storage rule.
According to one embodiment of the present invention, before said storing said preset data in said base database, the method further comprises:
and preprocessing the preset data to convert the type of the preset data into a preset type.
According to one embodiment of the present invention, the obtaining, according to the base database, a data analysis model corresponding to the request data and conforming to the decision scene includes:
acquiring corresponding index data according to the request data and the decision scene;
selecting a corresponding preset analysis model according to the index data;
training the preset analysis model to obtain the data analysis model.
According to one embodiment of the present invention, after the obtaining the data analysis model, the method further includes:
acquiring a corresponding problem set according to the request data and the decision scene, and acquiring a corresponding countermeasure set according to the problem set;
and verifying the data analysis model by adopting the problem set and the countermeasure set.
According to one embodiment of the invention, the data services include building enterprise portraits, data statistical analysis, and/or obtaining target data.
On the other hand, the invention also provides a public management system based on big data, which comprises a memory, a processor and a machine executable program stored on the memory and running on the processor, wherein the public service management method based on big data according to any one of the embodiments is realized when the processor executes the machine executable program.
According to one embodiment of the invention, the base database is a distributed database comprising a distributed storage module, a distributed resource management module, a distributed computing engine module and an analysis engine module.
According to one embodiment of the invention, the public service management system comprises a big data acquisition and management platform, wherein the big data acquisition and management platform comprises a calculation storage layer, a logic service layer, an access layer and an application layer.
The public service management system further comprises a visual development platform, wherein the visual development platform comprises a data layer, a middle layer, an abstract layer and an API interface system based on the basic database.
According to the technical scheme provided by the invention, after preset data are obtained from each data source, each preset data are stored in a basic database; and after the request data is acquired, acquiring a data analysis model which corresponds to the request data and accords with a corresponding decision scene according to the basic database, and providing corresponding data service for the user by adopting the data analysis model. According to the technical scheme, the corresponding data analysis model can be obtained according to the request data and the corresponding decision scene, and corresponding data service can be provided according to the data analysis model, so that the service types of the public service management system can be enriched, the service quality of the public service management system is improved, and the purpose of improving user experience is achieved.
The above, as well as additional objectives, advantages, and features of the present invention will become apparent to those skilled in the art from the following detailed description of a specific embodiment of the present invention when read in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter by way of example and not by way of limitation with reference to the accompanying drawings. The same reference numbers will be used throughout the drawings to refer to the same or like parts or portions. It will be appreciated by those skilled in the art that the drawings are not necessarily drawn to scale. In the accompanying drawings:
FIG. 1 is a schematic flow diagram of a big data based public service management method according to one embodiment of the invention;
FIG. 2 is a schematic flow diagram of acquiring a data analysis model according to one embodiment of the invention;
FIG. 3 is a schematic flow chart diagram of validating a data analysis model in accordance with one embodiment of the invention;
FIG. 4 is a schematic block diagram of a distributed database in accordance with one embodiment of the present invention;
FIG. 5 is a schematic block diagram of a big data acquisition abatement platform in accordance with one embodiment of the invention;
FIG. 6 is a schematic block diagram of a visualization development platform in accordance with one embodiment of the invention.
Detailed Description
A public service management system and method based on big data according to an embodiment of the present invention will be described with reference to fig. 1 to 6. In the description of the present embodiment, it should be understood that the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature, i.e. one or more such features. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise. When a feature "comprises or includes" a feature or some of its coverage, this indicates that other features are not excluded and may further include other features, unless expressly stated otherwise.
In the description of the present embodiment, a description referring to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Referring to fig. 1, fig. 1 is a schematic flowchart of a public service management method based on big data in an embodiment of the present invention, the public service management method includes the following steps:
step S1: acquiring preset data from each data source, and storing the preset data into a basic database;
step S2: when request data is received, acquiring a decision scene corresponding to the request data;
step S3: acquiring a data analysis model which corresponds to the request data and accords with the decision scene according to the basic database;
step S4: and providing corresponding data service by adopting the data analysis model.
In the above step S1, the data sources may be devices for providing data with the scientific and technological achievement, and the preset data acquired from the respective data sources may be data about the scientific and technological achievement. After the preset data of each data source are obtained, each preset data can be stored in the basic database according to a preset storage mode.
In the step S2, the decision scenario may include an enterprise, a legal person and a manager, that is, after receiving the request data, it is identified whether the identity of the decision scenario corresponding to the request data is the enterprise, the legal person or the manager.
In the step S3, a preset analysis model corresponding to the request data may be selected from the base database, and the preset analysis model may be set according to the corresponding decision scene, so as to obtain a corresponding data analysis model. In this embodiment, the preset analysis model is set, which may be to modify data in the preset analysis model according to a corresponding decision scenario, or select a corresponding training data set from a base database according to a corresponding decision scenario, and train the preset analysis model by using the training data set.
In the step S4, the data analysis model is adopted to provide the corresponding data service, which may be that the data analysis model is used to obtain the target data corresponding to the request data and display the target data on the interface of the user, or that the corresponding visual data model obtained according to the request data is used to display the model on the interface of the user.
In summary, according to the technical solution of the present embodiment, the corresponding data analysis model can be obtained according to the request data and the corresponding decision scene, and the corresponding data service can be provided according to the data analysis model, so that the service type of the public service management system can be enriched, the service quality of the public service management system can be improved, and the purpose of improving the user experience can be achieved.
In one embodiment of the present invention, the base database is a distributed database, and storing the preset data in the base database in the step S1 refers to storing each preset data in the base database according to a preset distributed storage rule. The preset distributed storage rule is a rule for storing data in a distributed database, and includes storing data in a designated location, creating an index of the data, generating a management log of the database, and the like.
In this embodiment, a distributed database is used as the base database, and since the base database has the advantages of high reliability, good expansion performance and fast response speed, the reliability of storing preset data and the working efficiency of calling the preset data can be improved.
In one embodiment of the present invention, when storing preset data in the base database, the preset data is first preprocessed to convert the type of the preset data into a preset type.
In this embodiment, the preset data may be extracted and cleaned, so as to convert the data with multiple structures and types into data with a single or convenient form, i.e. to convert the type of the preset data into the preset type. For example, a visual processor, an SQL processor and a script processor can be arranged, and the visual processor can be used for fusing the data in the graphical data table and extracting and converting the fields in the data table; the SQL processor is used for extracting and converting fields of data in the SQL sentence to obtain preset data of a preset type; the script processor is used for extracting and converting script data to obtain data of a preset type.
By the setting mode of the embodiment, different types of preset data can be converted into preset types and stored, so that the different types of preset data are fused and stored in the basic database, the problem that the preset data are inconvenient to store due to the type difference of the preset data is prevented, and the reliability of storing the preset data is improved.
In one embodiment of the present invention, a model library is further provided in the basic database, and a plurality of preset analysis models are stored in the model library, and in the step S3, a flow of obtaining a data analysis model corresponding to the request data and conforming to the corresponding decision scene according to the basic database is shown in fig. 2, and includes the following steps:
step S21: acquiring corresponding index data according to the request data and the corresponding decision scene;
step S22: selecting a corresponding preset analysis model from a model base of the basic database according to the index data;
step S23: training the preset analysis model to obtain the data analysis model.
In the above step S21, an index library may be set in the base database, and a plurality of index data may be stored in the index library. When executing the step S21, corresponding index data may be selected from the index library according to the request data and the corresponding decision scenario, so as to obtain the corresponding index data.
In the step S22, the model library may be queried according to the obtained index data to obtain a corresponding preset analysis model.
In the step S23, a training data set is obtained from the base database according to the preset analysis model, and then the training data set is used to train the preset analysis model, and the trained preset analysis model is used as the data analysis model.
By the setting mode of the embodiment, the corresponding data analysis model can be quickly obtained according to the request data and the corresponding decision scene, so that the working efficiency of obtaining the data analysis model is improved.
In one embodiment of the present invention, the base database is further provided with a question library and a countermeasure library, wherein the question library stores preset questions for different decision scenes, and the countermeasure set stores standard countermeasures corresponding to each question in the question library. After the data analysis model is obtained in the step S23, the data analysis model is also verified by using the problem library and the countermeasure library.
As shown in fig. 3, the method for verifying the data analysis model includes the steps of:
step S31: selecting preset questions corresponding to the data analysis model from the question library to form corresponding question sets;
step S32: selecting standard countermeasures corresponding to the problems in the problem set from the countermeasures library to obtain a corresponding countermeasures set;
step S33: and verifying the data analysis model according to the problem set and the countermeasure set.
In this embodiment, after inputting the problem in the problem set into the data analysis model, the data analysis model will solve the problem to obtain a corresponding preset countermeasure; then comparing the preset countermeasures with standard countermeasures in the countermeasure set to judge whether the preset countermeasures are correct or not; and finally, judging the accuracy of the mathematical analysis model according to the accuracy of the problem set problem solved by the mathematical analysis model. If the accuracy of the mathematical analysis model is greater than the preset accuracy, reserving the mathematical analysis model; and if the accuracy of the mathematical analysis model is not more than the preset accuracy, retraining the mathematical analysis model.
By the arrangement mode of the embodiment, the mathematical analysis model can be verified to ensure the accuracy of the mathematical model, so that the reliability of the public service management method is improved.
In one embodiment of the present invention, the request data may be data requesting to acquire an enterprise representation, data requesting to acquire data analysis statistics, or data requesting to acquire target data.
When the requested data is data requesting to acquire a business representation, the data analysis model acquires a model of the business representation for a user, and the data service provided is the business representation obtained according to the data analysis model and displays the business representation on a user interface of the user.
When the requested data is data requesting to acquire the data analysis statistical result, the data analysis model may be a model for acquiring a corresponding data analysis result, the provided data service is a data analysis result obtained according to the data analysis result, and the data analysis result is displayed on a user interface of the user in a form of a table, a percentile graph, a histogram and the like.
When the request data is data requesting acquisition of the target data, the data analysis model may be a model for predicting or querying the corresponding target data according to the data related to the request data, and the provided data service is to display a process of predicting or querying the corresponding target data on a user interface of the user.
The embodiment also provides a public service management system based on big data, which comprises a processor and a memory, wherein the processor and the memory can complete communication with each other through a communication bus. The processor is used to provide computing and control capabilities. The memory includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer program instructions. The internal memory provides an environment for the execution of the operating system and computer program instructions in the non-volatile storage medium. The communication interface of the device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The big data based public service management system provided in this embodiment has a memory for storing computer program instructions that, when executed by a processor, implement the multiple embodiments of the big data based public service management method described above.
In one embodiment of the present invention, the underlying database is a distributed database, the architecture of which is shown in fig. 4, including a distributed storage module, a distributed resource management module, a distributed computing engine module, and an analysis engine module.
The distributed storage module comprises a distributed file system HDFS and a Zookeeper, wherein the distributed file system HDFS is used for storing files and data, and the Zookeeper is distributed application coordination service software and is used for coordinating the files and the data stored in a distributed database. The distributed resource management module YARN provides unified resource management and scheduling for upper-layer applications through a resource management system. The distributed computing engine module comprises a batch MapReduce and a memory computing Spark, wherein the batch MapReduce is used for integrating service logic codes written by users and self-contained default components into a complete distributed computing program and running on a cluster concurrently; the memory computing Spark is a big data parallel computing framework based on memory computing, can improve the real-time performance of data processing in a big data environment, and simultaneously ensures high fault tolerance and high scalability. The analysis engine module comprises a batch Hive and an interactive query sparkSQL, wherein the batch Hive is used for extracting, converting and loading data, is a mechanism capable of storing, querying and analyzing large-scale data stored on a distributed architecture, can map a structured data file into a database table, provides an SQL query function, and converts SQL sentences into distributed architecture tasks to be executed; the interactive query Spark SQL is a part of Spark processing data that can be used to execute SQL query statements.
The distributed database shown in fig. 4 is further provided with an operation and maintenance center module, which comprises cluster management, resource management, monitoring alarm, unified log and access management, wherein the cluster management is used for managing the distributed data clusters, the resource management is used for managing data resources in the distributed database, the monitoring alarm is used for monitoring the distributed database, and the alarm is sent when the distributed database is abnormal. The unified log is used for recording operations on the distributed database to generate corresponding logs. The access management is used for managing access rights of the distributed database.
In one embodiment of the present invention, the public service management system based on big data further comprises a big data acquisition and management platform, and the big data acquisition and management platform is structured as shown in fig. 5 and comprises a calculation storage layer, a logic service layer, an access layer and an application layer.
The computing storage layer performs data storage by means of the provided storage computing capacity of a basic database, wherein the basic database comprises a big data computing storage cluster and a system data storage cluster. The logic service layer is used for providing logic computation for the distributed database and comprises data acquisition management, data sharing exchange and identity management, wherein the data acquisition management comprises data source management, task flow management, cataloging table management, data standard management, quality rule management, model index management, service release management, multi-tenant management, user authority management, task scheduling engine and multidimensional analysis engine, the data sharing exchange provides a data gateway, an interface gateway, a security model, authentication authorization, online documents, frequency limitation and monitoring alarm, and the identity management provides account login, account management and unified authentication in the system.
The access layer is used for managing the equipment accessed to the distributed database and comprises load balancing, login state verification and authority verification; the application layer is used for providing application services, including a WEB console, business applications and data applications.
The big data acquisition and management platform shown in fig. 5 is further provided with an operation and maintenance module, which is used for maintaining the operation of the big data acquisition and management platform and comprises an extensible part and a monitoring and alarming part, wherein the extensible module comprises cluster management, node HPA and service HPA, and the monitoring and alarming part comprises service monitoring, cloud monitoring, log, short message alarming and message alarming.
The setting mode of the embodiment establishes a whole set of management actions on data use, implements a series of specifications and processes of application and technical management of a basic database, blends the data standard specifications into the data management implementation process, provides global data acquisition and data management capability, and enables the data to be high-quality, valuable and shareable
In one embodiment of the present invention, the big data based public service management system further comprises a visualization development platform, the structure of which is shown in fig. 6, including a data layer, a middle layer, an abstract layer and an API interface system.
The calculation storage layer of the data layer butt joint acquisition treatment platform comprises a model database, an index database, a document database, a relation database, a stored value database, a model database and other basic databases in a basic database. The middle layer is used for managing the call of the data in the data layer and can provide distributed services, message queues and an API gateway; the abstract layer is responsible for protocol conversion, storage adaptation and service construction of related applications of related docking; the API interface system is used for providing visual interfaces, and each interface is linked with the data layer through the abstract layer and the middle layer so as to call corresponding data in the data layer. The API interface system in the embodiment comprises a management platform and an exchange gateway, wherein the management platform provides service functions such as user management, project management, authority management, application management, data structure, unified storage, monitoring and warning for a user terminal user, and the exchange gateway provides service functions such as authentication authorization, protocol conversion, log acquisition, frequency control, monitoring control, code generation, service routing, data desensitization, testing tool and the like for background development and operation and maintenance personnel by adopting a unified and safe data exchange mechanism.
According to the setting mode of the embodiment, the visual development platform is arranged to provide a visual interface based on big data, so that a high-quality data source can be provided for application development of business and innovation of data application. And the upper layer application core logic only needs to focus on the realization of service logic and the data display, and the conversion, extraction, retrieval, analysis and the like of the data are uniformly shielded by the data center platform, so that the support of various upper layer application services by the platform is greatly improved, and the threshold of using the data by an application developer is reduced.
By now it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been shown and described herein in detail, many other variations or modifications of the invention consistent with the principles of the invention may be directly ascertained or inferred from the present disclosure without departing from the spirit and scope of the invention. Accordingly, the scope of the present invention should be understood and deemed to cover all such other variations or modifications.

Claims (10)

1. A public service management method based on big data, comprising:
acquiring preset data from a plurality of data sources, and storing the preset data into a basic database;
responding to received request data, and acquiring a decision scene corresponding to the request data;
acquiring a data analysis model which corresponds to the request data and accords with the decision scene according to the basic database;
and providing corresponding data service by adopting the data analysis model.
2. The public service management method according to claim 1, wherein,
the basic database is a distributed database, and the storing the preset data into the basic database includes:
and storing the preset data into the basic database according to a preset distributed storage rule.
3. The public service management method according to claim 2, wherein,
before the storing the preset data into the basic database, the method further comprises:
and preprocessing the preset data to convert the type of the preset data into a preset type.
4. The public service management method according to claim 1, wherein,
the step of obtaining a data analysis model corresponding to the request data and conforming to the decision scene according to the basic database comprises the following steps:
acquiring corresponding index data according to the request data and the decision scene;
selecting a corresponding preset analysis model according to the index data;
training the preset analysis model to obtain the data analysis model.
5. The public service management method according to claim 4, wherein,
after the data analysis model is obtained, the method further comprises the following steps:
acquiring a corresponding problem set according to the request data and the decision scene, and acquiring a corresponding countermeasure set according to the problem set; and verifying the data analysis model by adopting the problem set and the countermeasure set.
6. The public service management method according to claim 1, wherein,
the data services include building enterprise portraits, data statistical analysis, and/or obtaining target data.
7. A big data based public management system comprising a memory, a processor and a machine executable program stored on the memory and running on the processor, wherein the processor implements the big data based public service management method according to any of claims 1 to 6 when executing the machine executable program.
8. The public service management system of claim 7, wherein,
the basic database is a distributed database and comprises a distributed storage module, a distributed resource management module, a distributed calculation engine module and an analysis engine module.
9. The public service management system of claim 7, wherein,
the public service management system further comprises a big data acquisition and management platform, wherein the big data acquisition and management platform comprises a calculation storage layer, a logic service layer, an access layer and an application layer.
10. The public service management system of claim 7, wherein,
the public service management system further comprises a visual development platform, wherein the visual development platform comprises a data layer, a middle layer, an abstract layer and an API interface system based on the basic database.
CN202310691284.2A 2023-06-12 2023-06-12 Public service management system and method based on big data Pending CN116662345A (en)

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