CN113641768A - Power grid multi-source data-based processing method, system and equipment - Google Patents
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Abstract
The invention discloses a processing method, a system and equipment based on power grid multi-source data, wherein the processing method comprises the following steps of obtaining the power grid multi-source data; secondly, performing data classification processing on the acquired power grid multi-source data; thirdly, performing data fusion on the analysis information subjected to business representation based on a data warehouse, thereby obtaining fusion data; and fourthly, outputting through an external data service interface, inserting into a service arrangement system of the data center station in a data service calling mode, and directly feeding back to the front-end service application. The invention provides a mode for supporting multidimensional comprehensive analysis capability by processing data, and adopts a mode of converging and fusing multi-view data when processing data, thereby having the characteristics of analyzing service scenes, mining the service value of the data, directly feeding the data back to a service center, providing auxiliary service support and providing an important technical basis for power grid data mining.
Description
Technical Field
The invention belongs to the technical field of intelligent power grid data processing, and particularly relates to a processing method based on power grid multi-source data.
Background
With the development and application of the smart power grid, power grid data also becomes diversified, such as grid frame data of the power grid, power utilization characteristic data of users, power grid distribution network data, substation operation data and the like, the data are not comprehensively applied at present, and meanwhile, the following problems exist in the prior art in processing multi-source large data:
the data volume is large and the data types are many: because the power grid company has more business departments and more related professional data, the classification, the source, the time and the like of the data are inconsistent, and therefore the data sources are difficult to comb;
the data processing difficulty is higher: the data comprises real-time power grid load data, video image data, weather data, climate data and the like, and the data is difficult to classify and process;
the existing data value cannot be fully refined: professional data of each department dimension are not mined by means of data sorting, cleaning, association analysis and the like at present, and data deep analysis and display cannot be performed.
In addition, in the development and application of the smart power grid, in the data processing process of the power grid distribution network data:
firstly, due to the fact that a data processing basic data layer is insufficient in timeliness, data availability is low, for example, a data access technology component belongs to an industry general technology, but access effectiveness is low, and when a service scene facing an external user is provided, service supporting capability of data is insufficient; meanwhile, the timeliness of partial source data is insufficient, for example, measurement data is collected and gathered from the front end and sent back, and days are taken as a measurement unit;
secondly, due to insufficient precipitation of data models of a public data layer and an extraction data layer, data lack of systematic integration, for example, guidance of core business requirements is lacked, so that the construction and precipitation progress of an analysis layer model is slow, and data analysis often needs to be processed step by step from a source-attached historical region, so that the overall efficiency is not high;
finally, due to weak service capability of the data service layer, the data service capability is insufficient, for example, the external service mode of the data is not flexible enough, mainly two types of data interfaces and autonomous analysis tools are used, the service arrangement capability is lacked, the service call of the data calculation analysis result cannot be rapidly provided, and the service front end is directly fed back.
Therefore, a mode of supporting multi-dimensional comprehensive analysis capability through data processing is required to be designed, so that the method has the business value of data mining and the data supporting servitization capability when an analysis business scene is oriented, and meanwhile, an important basic processing scheme of power grid multi-source data is provided for data mining.
Disclosure of Invention
The invention provides a processing method, a system and equipment based on power grid multi-source data, and the method, the system and the equipment can provide a mode of supporting multi-dimensional comprehensive analysis capability through data processing and a mode of converging and fusing multi-view data through data processing, so that the method, the system and the equipment have the characteristics of analyzing service scenes, mining the service value of the data, directly feeding the data back to a service center, providing auxiliary service support and providing an important technical basis for power grid data mining.
The technical solution of the invention is as follows: the processing method based on the power grid multi-source data comprises the following steps:
firstly, acquiring multi-source data of a power grid;
secondly, carrying out data classification processing on the acquired power grid multi-source data
Step S2-1, marking the power grid multi-source data to obtain data label information;
step S2-2, based on the data processing model, taking the system of the business data as a unit, obtaining the analysis information of the data label information when taking the business data system as a unit, and obtaining the business representation of the analysis information according to the high extraction of the data intermediate stage deposition data, wherein the business representation is used for supporting the flexible calling of the data service;
thirdly, performing data fusion on the analysis information subjected to business representation based on a data warehouse, thereby obtaining fusion data;
and fourthly, outputting through an external data service interface, inserting into a service arrangement system of the data center station in a data service calling mode, and directly feeding back to the front-end service application.
In the first step, the specific mode of acquiring the multi-source data of the power grid is as follows: establishing a data interface, and acquiring power grid multi-source data from each service system connected with the data interface;
in the second step, the specific way of carrying out data classification processing on the obtained power grid multi-source data is as follows: and establishing a source pasting data layer, and converging and integrating the acquired power grid multi-source data.
In the second step, the data processing model business data system comprises a customer multi-dimensional system, an equipment multi-dimensional system, a service multi-dimensional system, an activity multi-dimensional system and a product multi-dimensional system.
In the second step, the specific implementation of the data processing model is as follows:
s2-21, extracting to form an extracted data model layer based on pairwise associated power grid multi-source data and business data systems, so as to support flexible calling of data services and support data middlewares and front-end application;
and S2-22, performing business on the power grid multi-source data, refining the power grid multi-source data according to the height of the data intermediate stage sediment data, and analyzing the offline or online data to obtain the embodiment of the power grid multi-source data in a business system.
In the third step, the specific implementation manner of the data warehouse is as follows:
and modeling and storing the business data by integrating the detailed data layer and the light summary data layer.
In the fourth step, the specific implementation mode that the fusion data is inserted into the service arrangement system of the data center station in a data service calling mode and is directly fed back to the front-end service application is as follows:
step S4-1, based on the fusion data obtained by data warehouse processing, forming each data mart facing to the business data system;
and step S4-2, performing analysis service on each data mart, and obtaining an analysis result of the power grid multi-source data through data interface service and data self-service analysis.
As a second aspect of the present invention, a processing system based on grid multi-source data is provided, which includes a grid multi-source data obtaining unit, a data classification processing unit, a tag data unit, a data processing algorithm unit, a data warehouse unit, and a business application unit, wherein,
the power grid multi-source data acquisition unit is used for establishing a data interaction channel with the service system to acquire power grid multi-source data;
the data classification processing unit is used for converging and integrating the acquired power grid multi-source data by establishing a source-attached data layer;
the tag data unit is used for marking the power grid multi-source data subjected to data integration to form a global tag business system of the power grid multi-source data so as to obtain data tag information;
the data warehouse unit is used for modeling and storing the data label information by integrating a detailed data layer and a light summary data layer;
the data processing algorithm unit is used for receiving the power grid multi-source data and performing data interaction with the data warehouse unit through the established data processing model to respectively obtain the data label information and the business performance data of the power grid multi-source data;
and the business application unit is connected with an external application system and used for outputting data label information and business representation data of the power grid multi-source data.
In one possible implementation manner of the grid multi-source data-based processing system of the invention, the invention further comprises a data analysis service unit, wherein the data analysis service unit comprises a data interface analysis unit and a self-service analysis unit, wherein,
the input end of the data interface analysis unit is respectively connected with the data processing algorithm unit and the data warehouse unit, and the output end of the data interface analysis unit is connected with the service application unit;
the input end of the self-service analysis unit is respectively connected with the data processing algorithm unit and the data warehouse unit, and the output end of the self-service analysis unit is connected with the business application unit and used for obtaining the analysis result of the multi-source data of the power grid through data interface service and data self-service analysis.
As another aspect of the invention, a processing device based on power grid multi-source data is provided, which comprises at least one processor and a memory for establishing an information interaction channel with the at least one processor, wherein,
each said memory storing a computer program executable by at least one said processor;
the computer program is executed by at least one processor, so that at least one processor executes the power grid multi-source data-based processing method and/or the power grid multi-source data-based processing system.
Has the advantages that: compared with the prior art, the invention has the following advantages:
the invention provides a mode for supporting multidimensional comprehensive analysis capability by processing data and a mode for converging and fusing multi-view data during data processing, thereby having the characteristic of mining the service value of the data when the analysis service scene is oriented, directly feeding the data back to a service center, providing auxiliary service support and providing an important technical basis for power grid data mining.
Drawings
Fig. 1 is a schematic view of a processing flow of multi-source data of a power grid according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in the drawings, the present invention provides, as an embodiment of the present invention, a technical solution: a processing method based on power grid multi-source data comprises the following steps:
the method comprises the steps of firstly, acquiring power grid multi-source data, establishing a data interface during specific implementation, and acquiring the power grid multi-source data from each business system connected with the data interface;
secondly, carrying out data classification processing on the acquired power grid multi-source data
Step S2-1, marking the power grid multi-source data to obtain data label information, wherein in specific implementation, a source-attached data layer is established first, and the acquired power grid multi-source data are converged and integrated; secondly, the first step is to carry out the first,
step S2-2, based on the data processing model, taking the system of the business data as a unit, obtaining analysis information of the data tag information when taking the business data system as a unit, and obtaining a business representation of the analysis information according to a high refinement of the data intermediate stage deposition data, for supporting flexible retrieval of the data service, it should be noted that the business data system of the data processing model includes a customer multidimensional system, an equipment multidimensional system, a service multidimensional system, an activity multidimensional system, and a product multidimensional system, wherein the analysis information of the data tag information when taking the customer multidimensional system as a unit includes user tag image information, user grouping information, user data loyalty, and the like, and the organization structure of the business data system of the other data processing model is as shown in fig. 1.
Based on the technical concept, the specific implementation of the data processing model is as follows:
s2-21, extracting and forming an extracted data model layer based on two-pair associated power grid multi-source data and a business data system so as to support flexible calling of data service and support data middle-stage and front-end application in a service mode, and starting from association of business data during specific implementation and based on a unified ID system of a client, equipment, service and the like;
and S2-22, performing business on the power grid multi-source data, obtaining the embodiment of the power grid multi-source data in a business system according to the high extraction of the data center station sediment data and through offline or online data analysis, if a customer portrait system is the most direct presentation of the data business, performing multi-dimensional accurate description on portrait labels, behavior characteristics, operation effect and the like of users through offline and online data analysis, inserting the data into a service arrangement system of the service center station in a service calling mode, and directly feeding back the data and front-end service application.
Thirdly, performing data fusion on the analysis information subjected to business representation based on a data warehouse to obtain fusion data, and modeling and storing business data by integrating a detailed data layer and a mild summary data layer during specific implementation; meanwhile, measuring the service data based on the data processing algorithm platform to obtain integrated and cleaned fusion data;
and fourthly, outputting through an external data service interface, inserting the service arrangement system of the data center station in a data service calling mode, and directly feeding back the service arrangement system to the front-end service application, wherein the specific implementation mode that the fusion data is inserted into the service arrangement system of the data center station in the data service calling mode and directly fed back to the front-end service application is as follows:
step S4-1, based on the fusion data obtained by data warehouse processing, forming each data mart facing to the business data system;
and step S4-2, analyzing service is carried out on each data market, and an analysis result of the multi-source data of the power grid is obtained through data interface service and data self-service analysis.
Based on the technical concept, as a second aspect of the invention, a processing system based on power grid multi-source data is provided, which comprises a power grid multi-source data obtaining unit, a data classification processing unit, a tag data unit, a data processing algorithm unit, a data warehouse unit and a business application unit, wherein,
the power grid multi-source data acquisition unit is used for establishing a data interaction channel with the service system to acquire power grid multi-source data;
the data classification processing unit is used for converging and integrating the acquired power grid multi-source data by establishing a source-attached data layer;
the tag data unit is used for marking the power grid multi-source data subjected to data integration to form a global tag business system of the power grid multi-source data so as to obtain data tag information;
the data warehouse unit is used for modeling and storing the data label information by integrating the detailed data layer and the light summary data layer;
the data processing algorithm unit is used for receiving the power grid multi-source data and performing data interaction with the data warehouse unit through the established data processing model to respectively obtain data label information and business performance data of the power grid multi-source data;
and the business application unit is connected with an external application system and used for outputting data label information and business representation data of the power grid multi-source data.
In an embodiment of the second aspect of the present invention, the data analysis service unit further comprises a data interface analysis unit and a self-service analysis unit, wherein,
the input end of the data interface analysis unit is respectively connected with the data processing algorithm unit and the data warehouse unit, and the output end of the data interface analysis unit is connected with the service application unit;
the input end of the self-service analysis unit is respectively connected with the data processing algorithm unit and the data warehouse unit, and the output end of the self-service analysis unit is connected with the business application unit and used for obtaining an analysis result of the multi-source data of the power grid through data interface service and data self-service analysis.
Based on the technical concept, the invention also provides processing equipment based on the power grid multi-source data, which comprises at least one processor and a memory for establishing an information interaction channel with the at least one processor, wherein,
each memory storing a computer program executable by at least one processor;
the computer program is executed by the at least one processor to cause the at least one processor to perform a grid multisource data based processing method and/or a grid multisource data based processing system.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A processing method based on power grid multi-source data is characterized by comprising the following steps: the method comprises the following steps:
firstly, acquiring multi-source data of a power grid;
secondly, carrying out data classification processing on the acquired power grid multi-source data
Step S2-1, marking the power grid multi-source data to obtain data label information;
step S2-2, based on the data processing model, taking the system of the business data as a unit, obtaining the analysis information of the data label information when taking the business data system as a unit, and obtaining the business representation of the analysis information according to the high extraction of the data intermediate stage deposition data, wherein the business representation is used for supporting the flexible calling of the data service;
thirdly, performing data fusion on the analysis information subjected to business representation based on a data warehouse, thereby obtaining fusion data;
fourthly, outputting the fused data through an external data service interface
And inserting the service arrangement system of the data center station in a data service calling mode, and directly feeding back the service arrangement system to the front-end service application.
2. The power grid multi-source data-based processing method according to claim 1, wherein: in the first step, the specific mode of acquiring the multi-source data of the power grid is as follows: establishing a data interface, and acquiring power grid multi-source data from each service system connected with the data interface;
in the second step, the specific way of carrying out data classification processing on the obtained power grid multi-source data is as follows: and establishing a source pasting data layer, and converging and integrating the acquired power grid multi-source data.
3. The power grid multi-source data-based processing method according to claim 1, wherein: in the second step, the system of the business data comprises a customer multi-dimensional system, an equipment multi-dimensional system, a service multi-dimensional system, an activity multi-dimensional system and a product multi-dimensional system.
4. The grid multi-source data-based processing method according to claim 1 or 3, wherein the processing method comprises the following steps: in the second step, the specific implementation of the data processing model is as follows:
s2-21, extracting to form an extracted data model layer based on pairwise associated power grid multi-source data and business data systems, so as to support flexible calling of data services and support data middlewares and front-end application;
and S2-22, performing business on the power grid multi-source data, refining the power grid multi-source data according to the height of the data intermediate stage sediment data, and analyzing the offline or online data to obtain the embodiment of the power grid multi-source data in a business system.
5. The power grid multi-source data-based processing method according to claim 1, wherein: in the third step, the specific implementation manner of the data warehouse is as follows:
and modeling and storing the business data by integrating the detailed data layer and the light summary data layer.
6. The grid multi-source data-based processing method according to claim 1 or 5, wherein the processing method comprises the following steps: in the fourth step, the specific implementation mode that the data service is inserted into the service arrangement system of the data center station in a data service calling mode and directly fed back to the front-end service application is as follows:
step S4-1, based on the fusion data obtained by data warehouse processing, forming each data mart facing to the business data system;
and step S4-2, performing analysis service on each data mart, and obtaining an analysis result of the power grid multi-source data through data interface service and data self-service analysis.
7. A processing system based on power grid multi-source data is characterized in that: the system comprises a power grid multi-source data acquisition unit, a data classification processing unit, a tag data unit, a data processing algorithm unit, a data warehouse unit and a business application unit, wherein:
the power grid multi-source data acquisition unit is used for establishing a data interaction channel with the service system to acquire power grid multi-source data;
the data classification processing unit is used for converging and integrating the acquired power grid multi-source data by establishing a source-attached data layer;
the tag data unit is used for marking the power grid multi-source data subjected to data integration to form a global tag business system of the power grid multi-source data so as to obtain data tag information;
the data warehouse unit is used for modeling and storing the data label information by integrating a detailed data layer and a light summary data layer;
the data processing algorithm unit is used for receiving the power grid multi-source data and performing data interaction with the data warehouse unit through the established data processing model to respectively obtain the data label information and the business performance data of the power grid multi-source data;
and the business application unit is connected with an external application system and used for outputting data label information and business representation data of the power grid multi-source data.
8. The grid multi-source data-based processing system according to claim 7, wherein: the system also comprises a data analysis service unit, wherein the data analysis service unit comprises a data interface analysis unit and a self-service analysis unit,
the input end of the data interface analysis unit is respectively connected with the data processing algorithm unit and the data warehouse unit, and the output end of the data interface analysis unit is connected with the service application unit;
the input end of the self-service analysis unit is respectively connected with the data processing algorithm unit and the data warehouse unit, and the output end of the self-service analysis unit is connected with the business application unit and used for obtaining the analysis result of the multi-source data of the power grid through data interface service and data self-service analysis.
9. The utility model provides a processing equipment based on electric wire netting multisource data which characterized in that: the device comprises at least one processor and a memory, wherein the memory is used for establishing an information interaction channel with the at least one processor, and the device comprises:
each said memory storing a computer program executable by at least one said processor;
the computer program is executed by at least one of the processors to cause the at least one processor to execute a grid multisource data-based processing method and/or a grid multisource data-based processing system.
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