CN113918546A - A water data center - Google Patents
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Abstract
The invention provides a water affair data center station, which comprises: the data acquisition module is used for acquiring water affair data; at least one heterogeneous database for storing water service data; the data integration module is used for respectively extracting water service data from the heterogeneous database and cleaning the water service data to generate integrated data with the same format; the data development module comprises: the cleaning unit is used for cleaning, removing and reprocessing the integrated data and outputting the integrated data; the development unit is used for carrying out data statistics on the cleaned integrated data according to an externally input statistical task and generating asset data; the data asset module is used for processing and generating a corresponding data table according to a preset data model and asset data; the data service module is used for creating an application program interface by a user and reading a corresponding data table by calling the application program interface; and the data visualization module is used for displaying the asset data for the user to view. The beneficial effect is that the effect of data intercommunication interconnection among all systems related to water affairs is realized.
Description
Technical Field
The invention relates to the technical field of information, in particular to a water affair data center station.
Background
The urban water environment system comprises a business link integrating 'raw water, water delivery, water production, water supply, water utilization, water drainage and sewage'. By establishing the water affair data center, the water affair enterprise carries out the collection, integration and visual processing of the water affair data so as to meet the requirements of the water affair management and data sharing of the water affair enterprise. It can be seen that the data of the water service industry includes a whole set of whole process data from the water source to the water tap and other management process data.
At present, data acquisition standards of all systems related to water affairs are not uniform, and all systems have large differentiated application requirements, so that a data center applied in the water affairs industry is difficult to cover all data requirements. Specifically, the data among the dispatching system, the metering management system, the business charging system, the customer service system and other systems are difficult to intercommunicate, and the defects that a part of water service data is lacked in the water service data and the user requirements are difficult to meet exist.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a water affair data center station, which comprises:
the data acquisition module is respectively connected with an Internet of things platform and at least one service system and is used for acquiring water affair data, and the water affair data comprises Internet of things data provided by the Internet of things platform and service data provided by the service system;
the heterogeneous database is connected with the data acquisition module and used for storing the water affair data and respectively storing each water affair data into the corresponding heterogeneous database according to preset classification information;
the data integration module is connected with the heterogeneous database and used for respectively extracting the water service data from the heterogeneous database and cleaning the water service data to generate integrated data with the same format;
the data development module is connected with the data integration module and comprises:
the cleaning unit is used for cleaning, removing the reprocessing and outputting the integrated data;
the development unit is connected with the cleaning unit and used for carrying out data statistics on the cleaned integrated data according to an externally input statistic task and generating asset data;
the data asset module is connected with the data development module and used for generating a corresponding data table according to a preset data model and the asset data processing;
the data service module is connected with the data asset module and used for creating an application program interface for a user and reading a corresponding data table by calling the application program interface;
and the data visualization module is connected with the data service module and is used for displaying the asset data for a user to view.
Preferably, the data integration module includes:
the first receiving unit is used for acquiring an integrated task input by a user;
the task analysis unit is connected with the first receiving unit and used for analyzing and obtaining a data source corresponding to the business data required by the user, a data format corresponding to the business data and a target format according to the integrated task, wherein the target format is a data format after the business data are integrated and processed;
and the first execution unit is connected with the task analysis unit and used for reading corresponding service data from a corresponding heterogeneous database according to the data source, performing integrated processing on the service data through a preset conversion tool, generating service data with a target format and outputting the service data as the integrated data.
Preferably, the data integration module further includes an adaptation unit connected to the first execution unit, where the adaptation unit prestores a plurality of the conversion tools, and each of the conversion tools is respectively used for integration processing of the service data with different data formats, and then the adaptation unit matches the data format of the service data to be integrated processed in the integration task and the target format after the integration processing to obtain and output a corresponding conversion tool.
Preferably, the data development module further includes a configuration unit, where the configuration unit is connected to the development unit and configured to obtain development information and input the development information to a preset configuration model, and the configuration model generates a corresponding statistical task according to the development information, where the development information includes a statistical period, the data source, a data target table, and configuration parameters.
Preferably, the data development module further includes a monitoring unit, and the monitoring unit is connected to the development unit, and includes:
the acquisition subunit acquires each statistical task received by the development unit and detects the execution state corresponding to the statistical task;
and the display subunit is connected with the acquisition subunit and is used for displaying each statistical task and the corresponding execution state for a user to check.
Preferably, the monitoring unit further includes a management subunit, and the management subunit is connected to the acquisition subunit and is configured to allow a user to input a scheduling task to drive the development unit to adjust the execution state of the statistical task.
Preferably, the monitoring unit further includes a recording subunit, and the recording subunit is connected to the acquiring subunit and configured to process and generate a corresponding operation record according to the execution state of the statistical task, so as to allow a user to query the operation record.
Preferably, the data service module includes:
the creating unit is used for a user to input interface information, process and generate and store a corresponding application program interface, and the application program interface reads corresponding service data according to the data source;
the storage unit is used for collecting and storing a calling application;
and the first processing unit is respectively connected with the creating unit and the storage unit and used for calling the application program interface according to the calling application so that a user can read corresponding service data.
Preferably, the data service module further includes a second processing unit, respectively connected to the storage unit and the first processing unit, and configured to obtain the calling frequency of each application program interface obtained by analyzing the calling application in the storage unit for user query.
The technical scheme has the following advantages or beneficial effects:
(1) the data acquisition module is respectively connected with the Internet of things platform and each service system, and the data acquisition module is used for acquiring multi-source heterogeneous Internet of things data and service data, storing the multi-source heterogeneous Internet of things data and the service data into a heterogeneous database of a water service data center station, storing the data in a classified manner, cleaning the Internet of things data and the service data in different forms, and outputting integrated data in the same format, so that the effect of data intercommunication and interconnection among the systems related to the water service is realized.
(2) The water affair data center station processes data in real time according to the integration tasks and the statistic tasks to form asset data, and a user acquires the internet of things data and the business data by calling an application program interface, so that the integration of water affair related data is realized.
(3) The user accesses the data in the data center station through the calling port, the data center station controls allocation and management of the application program interface through the data service module, the utilization rate of the data source is improved, the data service module has the function of obtaining the calling frequency of the application program interface according to calling application analysis, and support is provided for market heat analysis.
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FIG. 1 is a schematic diagram of a console in a water service data center according to a preferred embodiment of the present invention;
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In accordance with the above-mentioned problems occurring in the prior art, there is provided a water service data center, as shown in fig. 1, including:
the data acquisition module 1 is respectively connected with an Internet of things platform 2 and at least one service system 3 and is used for acquiring water affair data, wherein the water affair data comprises Internet of things data provided by the Internet of things platform 2 and service data provided by the service system 3;
the heterogeneous database 4 is connected with the data acquisition module 1 and used for storing water service data and respectively storing each water service data into the corresponding heterogeneous database 4 according to preset classification information;
the data integration module 5 is connected with the heterogeneous database 4 and is used for respectively extracting the water service data from the heterogeneous database 4 and cleaning the water service data to generate integrated data with the same format;
the data development module 6 is connected with the data integration module 5 and comprises:
a cleaning unit 61 for cleaning, removing, reprocessing and outputting the integrated data;
the development unit 62 is connected with the cleaning unit 61 and used for carrying out data statistics on the cleaned integrated data according to an externally input statistical task and generating asset data;
the data asset module 7 is connected with the data development module 6 and used for generating a corresponding data table according to a preset data model and asset data processing;
the data service module 8 is connected with the data asset module 7 and used for creating an application program interface for a user and reading a corresponding data table by calling the application program interface;
and the data visualization module 9 is connected with the data service module 8 and is used for displaying the asset data for the user to view.
Specifically, in this embodiment, the internet of things data and the service data include data related to water services in different formats, and the data in different formats is further separated when being invoked and has a lower integration level.
The Internet of things data and the business data are cleaned and integrated through the data center station, so that the gap between the data is eliminated, and powerful support is provided for comprehensive informatization of the water affair industry.
The data acquisition module 1 is connected with the Internet of things platform 2, the Internet of things platform 2 is respectively connected with each detector, the detectors acquire relevant data of a production link and relevant operation data of main equipment and instruments and send the relevant data to the Internet of things platform 2, and the Internet of things platform 2 outputs the relevant data of the production link and the relevant operation data of the main equipment and the instruments as Internet of things data.
Wherein, the thing allies oneself with data includes: a production link data such as pressure value, instantaneous flow value, accumulated flow value, level value, water quality, etc.; a primary equipment operational data, an instrument operational data, such as equipment operational signals, operational time, fault signals, etc.
The service system 3 obtains the service data generated in the service process of the related services of each water service in a manual input mode or a system automatic acquisition mode.
The service data comprises: marketing management system data, customer service system data, pipe network system data, production management system data, equipment management system data, financial data, human resource data, and the like.
After the data acquisition module 1 acquires the internet of things data and the business data, the internet of things data and the business data are stored in the heterogeneous database 4 in a classified mode, the water business data are cleaned through the data integration module 5 to output integrated data, then the data development module 6 cleans the integrated data to remove the heavy processing, and data statistics is carried out on the integrated data according to the statistical tasks to generate asset data.
In the data asset module 7, the data model is used to generate a table frame and automatically populate the asset data into the table frame as a data table for output.
In a preferred embodiment of the present invention, the data integration module 5 includes:
a first receiving unit 51, configured to obtain an integrated task input by a user;
the task analysis unit 52 is connected to the first receiving unit 51, and is configured to obtain a data source corresponding to the service data, a data format corresponding to the service data, and a target format according to the integrated task analysis, where the target format is a data format after the service data is integrated and processed;
and the first execution unit 53 is connected to the task analysis unit 52, and is configured to read corresponding service data from the corresponding heterogeneous database 4 according to a data source, perform integrated processing on the service data through a preset conversion tool, generate service data with a target format, and output the service data as integrated data.
Specifically, in the present embodiment, the task analysis unit 52 further has an execution sequence when executing the integration task. The task analysis unit 52 executes the integrated tasks in order under the control of the execution sequence, and the priority of the integrated tasks in the execution sequence is determined by a scheduling period defined by a user in advance, and the integrated tasks need to be executed in the scheduling period. The scheduling period may be: minutes, hours, days, weeks, months.
By setting the scheduling period, the flexibility and the orderliness of the data integration module 5 in the actual application process are improved.
In a preferred embodiment of the present invention, the data integration module 5 further includes an adapting unit 54 connected to the first executing unit 53, the adapting unit 54 stores a plurality of conversion tools in advance, each conversion tool is used for integrating and processing the service data with different data formats, and the adapting unit 54 matches the data format of the service data to be integrated and processed in the integration task and the target format after the integration processing to obtain and output the corresponding conversion tool.
Specifically, in this embodiment, the adapting unit 54 is configured to match the conversion tool for the integrated task, and in the matching process, the data format and the target format of the service data are first obtained from the integrated task, then the input data format and the data format corresponding to the conversion tool are matched, and the output data format and the target format corresponding to the conversion tool are matched, so as to obtain the conversion tool whose input data format is the same as the data format and whose output data format is the same as the target format.
In a preferred embodiment of the present invention, the data development module 6 further includes a configuration unit 63, the configuration unit 63 is connected to the development unit 62, and is configured to obtain development information and input the development information to a preset configuration model, and the configuration model generates a corresponding statistical task according to the development information, where the development information includes a statistical period, a data source, a data target table, and configuration parameters.
Specifically, in this embodiment, the step of generating the statistical task is as follows:
step S1, selecting a statistical period which can be hour/day/week/month;
step S2, selecting a data source and a data target table to realize data positioning;
and step S3, configuring parameters for defining source fields, functions, parameters and target fields.
The development information is used as input, the statistical task is used as output training to obtain a configuration model, the statistical period is used for limiting the processing object of the statistical task to be integrated data in the statistical period, the data source and the data target table are used for positioning the integrated data, and the statistical task counts the integrated data according to the configuration parameters to obtain asset data through statistics.
The user can set the statistical range of the statistical task according to the requirement, the operation is flexible, and when the statistical task is established, the input of codes is not needed, the operability is strong, and the convenience is brought to the user.
In the preferred embodiment of the present invention, the data development module 6 further includes a monitoring unit 64, and the monitoring unit 64 is connected to the development unit 62, and includes:
the collecting subunit 641 is configured to obtain each statistical task received by the development unit 62 and detect an execution state corresponding to the statistical task;
and a display subunit 642 for displaying each statistical task and the corresponding execution state for the user to view.
Specifically, in this embodiment, the monitoring unit 64 provides a window for monitoring the execution state of the statistical task for the user, so that the process of the data development module 6 executing the statistical task is transparent, and the user can conveniently master the data development progress in real time.
In the preferred embodiment of the present invention, the monitoring unit 64 further includes a management subunit 643, and the management subunit 643 is connected to the collecting subunit 641, for the user to input a scheduling task to drive the development unit 62 to adjust the execution status of the statistical task.
Specifically, in this embodiment, when the user needs to suspend the statistical task, inputting the corresponding scheduling task may drive the development unit 62 to stop executing the corresponding statistical task, so as to provide the user with a way to manually adjust the execution state of the statistical task, thereby improving the controllability of the statistical task.
In a preferred embodiment of the present invention, the monitoring unit 64 further includes a recording subunit 644, and the recording subunit 644 is connected to the collecting subunit 641, and is configured to generate a corresponding operation record according to the processing of the execution state of the statistical task, so as to be queried by the user.
In a preferred embodiment of the present invention, the data service module 8 includes:
the creating unit 81 is used for a user to input an interface information, process and generate and store a corresponding application program interface, and the application program interface reads corresponding service data according to a data source;
the storage unit 82 is used for collecting and storing a calling application;
the first processing unit 83 is connected to the creating unit 81 and the storage unit 82, respectively, and configured to invoke an application program interface according to the invocation application so that the user can read the corresponding service data.
Specifically, in this embodiment, when creating the application program interface, the user may input the corresponding interface information without inputting a code, which reduces the difficulty in creating the application program interface.
In the preferred embodiment of the present invention, the data service module 8 further includes a second processing unit 84, which is respectively connected to the storage unit 82 and the first processing unit 83, and is configured to obtain the calling frequency of each application program interface obtained by analyzing the calling application in the storage unit 82 for the user to query.
Specifically, in this embodiment, the user accesses the data in the data center through the application program interface.
During access, a user initiates a call application corresponding to an application program interface to be called, the storage unit 82 receives and stores the call application, and the first processing unit 83 matches the call application with the application program interface and outputs the application program interface required by the user.
The access of the user is specified by managing the application program interfaces, and the calling frequency reflects the access heat of each application program interface. The current market demand is intuitively reflected through the calling frequency of each application program interface, the operator of the water affair data center station can conveniently and timely adjust the development direction, and the development policy is optimized.
In summary, the data acquisition module 1 acquires the internet of things data and the service data from the internet of things platform 2 and each service system 3, and analyzes and processes the internet of things data and the service data through the data center station, so as to finally realize the data value.
And the user inputs a statistic task to the data development module 6, and the integrated data is counted through the statistic task. The data integration module 5 cleans the water affair data in each heterogeneous database 4 to generate integrated data with the same format, and convenience is provided for subsequent data development.
A user creates a statistical task to develop integrated data to obtain asset data, and when the statistical task is created, only development information needs to be defined, and a configuration model automatically generates a corresponding statistical task according to the development information, so that the creation process of the statistical task is simplified, and the development efficiency of the data is improved.
The data service module 8 is used for managing an application program interface, and a user acquires required asset data through the application program interface, so that the data sharing and data island breaking functions are achieved.
The data visualization module 9 is also provided with a component library in advance, when a user needs to visualize data, the user calls the preset component library in the data visualization module 9, the display form of asset data is set by the component library, the degree of freedom of the user is high, and the experience of the user is improved.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
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CN106372188A (en) * | 2016-08-31 | 2017-02-01 | 成都九鼎瑞信科技股份有限公司 | Water affair data analysis method and device |
WO2018064843A1 (en) * | 2016-10-09 | 2018-04-12 | 深圳中兴力维技术有限公司 | System and method for managing infrastructure of data center |
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