CN117495602A - PIS-based power production statistics intelligent analysis unit and data processing method - Google Patents
PIS-based power production statistics intelligent analysis unit and data processing method Download PDFInfo
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Abstract
The invention discloses an intelligent analysis unit and a data processing method for power production statistics based on a PIS system, wherein the intelligent analysis unit comprises an online power grid system, a data center, an ISC (integrated circuit controller) and an enterprise portal, wherein the data center is communicated with the ISC and the enterprise portal and is used for calling and writing data in real time; the data center station is provided with a source network load equipment automatic integration unit, a source network load equipment quality automatic monitoring unit, a power supply and supply automatic statistics unit, a synchronous electricity sales industry analysis unit, a synchronous electricity monitoring intelligent statistics unit and a production statistics intelligent interaction unit; the system platform is communicated with the ISC and the enterprise portal equipment data on the network, the real-time calling and writing of the power production data are realized, all equipment data are automatically accessed, the automatic configuration function of the administrative region attribute of the equipment is realized, the newly-added transformer substation files and transformer files are automatically monitored, the monitoring result is fed back to statistics staff through the to-be-handled mode, and the system working efficiency is greatly improved.
Description
Technical Field
The invention relates to the technical field of big data processing, in particular to an intelligent analysis unit and a data processing method for power production statistics based on a PIS system.
Background
In the current stage, in the use of a 'source network load full-quantity equipment automatic statistics' and a 'contemporaneous electric quantity monitoring' module of an online power grid, the fact that a large improvement space still exists in the automation and intellectualization level in the process of acquiring statistical data through system integration is found, the fact that the source end system equipment data in the 'source network load full-quantity equipment automatic statistics' cannot automatically enter a statistical filling unit after being introduced from a power grid resource platform, marketing 2.0 and scheduling is carried out, and a statistical person is required to manually distribute equipment to each account, so that the manual workload is huge; the gate data of the synchronous electric quantity monitoring module cannot automatically enter a statistics and reporting unit after being accessed, a statistics person is required to manually select the gate, and the gate attribute cannot be automatically updated after being updated in the synchronous line loss system, so that the efficiency is low; meanwhile, the intelligent interactive function of production statistical data and monitoring results in the power generation and supply statistical module is lost.
Therefore, the lack of intelligent detection function of the current online power grid system becomes an important hidden trouble affecting the quality of future production statistics, so that the construction of the deep application of the online power grid production statistics needs to be quickened, and the current urgent problem needs to be solved.
Disclosure of Invention
The invention aims to solve the problem that the intelligent detection function of the current network power grid system is lost, and the intelligent detection function becomes an important hidden danger affecting the quality of future production statistical data. According to the PIS system-based power production statistics intelligent analysis unit and the data processing method, a plurality of units and secondary functional areas are newly added on the basis of an online power grid system, so that the problems that intelligent detection functions of the online power grid system at present are lost, intelligent distribution of data scheduling cannot be achieved, statistics and reporting units cannot be automatically entered after gate data of a synchronous electric quantity monitoring module are accessed, statistics personnel are required to manually select gates, and gate attributes cannot be automatically updated after being updated in the synchronous line loss system are effectively solved, and the efficiency is low; meanwhile, the production statistical data and the monitoring result intelligent interaction function in the power generation and supply statistical module are missing.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the power production statistics intelligent analysis unit based on the PIS system comprises an online power grid system, wherein the online power grid system comprises a data center, and the data center is communicated with an ISC and an enterprise portal and is used for calling and writing data in real time;
the data center station is provided with a source network load equipment automatic integration unit, a source network load equipment quality automatic monitoring unit, a power supply and supply automatic statistics unit, a synchronous electricity sales industry analysis unit, a synchronous electricity monitoring intelligent statistics unit and a production statistics intelligent interaction unit;
the source network load equipment automation integration unit is used for fully automatically accessing equipment archive data and automatically configuring access equipment with the same attribute as the administrative region;
the source network load equipment quality automatic monitoring unit is used for automatically monitoring the integrity and rationality of the access equipment files and the mutual auditing relation among the access equipment, and feeding back monitoring results to statistics staff in a to-be-handled form;
the automatic statistics unit for power generation and supply is used for tracking power generation, managing labels, issuing power generation data, analyzing account data of the power supply station, managing power files, and realizing automatic correction and reminding of statistical reports through strict and standardized management of power generation and supply statistical time sequences and processes;
the contemporaneous electricity sales industry analysis unit is used for accessing users of the distribution network, analyzing the electricity of different industries, and displaying and positioning the industry electricity based on GIS;
the contemporaneous electric quantity monitoring intelligent statistical unit is used for automatically comparing power supply gateways of the online power grid system and the contemporaneous system;
the production statistics intelligent interaction unit is used for acquiring user behavior habits, knowing work tasks and data indexes focused by users and providing intelligent personalized task to-do reminding.
The power production statistics intelligent analysis unit based on the PIS system, the source network load equipment automation integration unit realizes full-automatic access of various equipment data, monitors automatic configuration of administrative region attributes of equipment, and an automatic generation unit of whether rural power grid indexes are generated or not, further traces the power grid equipment index attributes, and realizes full-automatic access of power grid equipment files including indexes such as distribution network line quota capacity and the like; the field access is realized through accessing the data center station.
The power production statistics intelligent analysis unit based on the PIS system, the source network load equipment quality automatic monitoring unit further comprises a data quality integrity automatic monitoring subunit and a data quality rationality automatic monitoring unit;
the automatic monitoring subunit of the data quality integrity is used for monitoring whether the name, the unit of the transformer substation, the voltage level and the capacity information are complete or not, and if the information is missing, early warning is carried out;
the automatic monitoring unit for the rationality of the data quality is used for monitoring whether the name, the unit, the voltage level and the capacity of the transformer substation accord with the specifications or not and carrying out early warning on indexes which do not accord with the specifications or are not in a reasonable numerical range.
The power generation and supply automatic statistics unit comprises a power generation statistics tracking subunit, a power data reporting subunit, a power isolated point identification and networking subunit, a visualization subunit on a power diagram and a power generation and supply statistics intelligent monitoring unit.
The intelligent analysis unit based on PIS system power production statistics comprises a plurality of electric quantity access subunits, is suitable for various types of electric quantity access, is communicated with a power grid GIS platform and achieves display analysis.
The intelligent statistical unit for monitoring the contemporaneous electric quantity specifically comprises a gateway automatic integration subunit, an automatic monitoring unit for power supply quantity and sales electric quantity, a statistical task reminding unit, a statistical result retrieval and broadcasting unit and a report batch summarizing and issuing unit.
The intelligent analysis unit for electric power production statistics based on the PIS system is divided into an intelligent reminding subunit and an intelligent visualization subunit, and calculation and service call are carried out through an API service, an analysis scene service, an algorithm model service and a tag service in JDBC data analysis service.
A data processing method based on PIS system power production statistics intelligent analysis unit comprises the following steps,
the method comprises the steps of (A) realizing data storage and calculation based on a data center in an online power grid, forming basic data after data integration, data check, data correction, data monitoring and data calculation of source service data, and providing data support for online power grid service application by combining service application data and management data;
the method comprises the steps that (B), an analysis layer DM, a sharing layer and a patch layer in a data center form an offline computing area, and the offline computing area is used for data archiving of data written in the streaming computing area;
step (C), the streaming data distribution function in the streaming computing area distributes data to the streaming computing function for computing, and the streaming computing function writes the computing data into the online area in real time;
measuring and calling the calculation data of the flow calculation function in real time by the TS function, the relation library RDS and the memory calculation Redis in the online area, and reflowing the data to the offline calculation area, namely a data center station;
and (E) the business application layer performs interface or service call with the online area and the data of the data center station by calling the data analysis service.
10. The aforementioned data processing method based on the PIS system power production statistics intelligent analysis unit, step (E), the step (E) further comprises the following steps,
(E1) Based on calling the data analysis service, the online area is directly called with a DW data service/self-development server interface for API service calculation and analysis scene service;
(E2) Meanwhile, the service application layer directly calls the real-time calculation data of the online area, and displays the calculation data in real time.
The beneficial effects of the invention are as follows: the invention relates to an intelligent analysis unit and a data processing method for power production statistics based on a PIS system, which additionally develops the intelligent analysis unit on the basis of a network power grid system platform, is communicated with equipment data of ISC and enterprise portals, realizes real-time calling and writing of power production data, and has the following advantages:
(1) By developing and setting an automatic integration unit of source network load equipment, full-automatic access of various equipment data, automatic configuration function of administrative region attributes of equipment, the problems that the equipment cannot automatically enter a statistics and reporting unit and whether agricultural network index errors are difficult to monitor manually are solved, the index attributes of the power grid equipment are further traced, full-automatic access of the power grid equipment files including indexes such as limit capacity of a distribution network line is realized, automatic comparison of special equipment files of a power grid system and marketing 2.0 system equipment on the network is realized, automatic comparison of public equipment files and middle station system equipment of power grid resources is realized, and the problem of full-automatic update of the equipment attributes is realized;
(2) The method comprises the steps of automatically monitoring newly-added transformer substation files and transformer files through a source network load equipment quality automatic monitoring unit, and simultaneously feeding back monitoring results to statistics staff in a to-be-handled mode;
(3) The automatic statistics unit is used for automatically monitoring the integrity and rationality of the access equipment files and the mutual auditing relation among the access equipment, and feeding back the monitoring result to statistics staff in a to-be-handled form;
(4) By setting the contemporaneous electricity sales industry analysis unit, the abnormal diagnosis and modification functions of the user electricity can be carried out on the user information of 10kV and above, the development and maintenance of customers are easy, and the maintenance functions of the concerned industry are developed; the ranking condition of the users can be counted in a multi-dimensional manner, meanwhile, based on the electricity quantity data of the users and the industries in the same period, the distribution condition of the users, the types of the industries, the voltage levels and other multi-attribute multi-dimensional display users can be focused on the GIS map, the positions of the users can be positioned, the geographic coordinates of the users can be found rapidly, and meanwhile, the indexes such as the electricity quantity of the users, the accumulated electricity quantity and the like can be displayed;
(5) The intelligent statistics unit for synchronous electric quantity monitoring is arranged, so that the automatic comparison of power supply gateways of an online power grid system and a synchronous system is realized, the visual statistics of data is carried out, the intelligent monitoring function of unit supply sale loss is realized, the high-efficiency intelligent inquiry and the automatic data analysis function are realized, and conditions and basis are provided for intelligent decision making; meanwhile, summarizing and publishing of the statistical report forms can be executed in batches, so that the statistical registration time of staff is greatly improved, and the efficiency is remarkably improved;
(6) The intelligent interaction unit for production statistics is arranged, and based on calling data analysis service, a DW data service/self-development server interface is directly called for an online area and used for API service calculation and analysis of scene service, work is conducted according to user roles as a main role, user behavior habits are collected, work tasks and data indexes focused by users are known, intelligent personalized task to-do reminding is provided, and intelligent office is realized.
Drawings
FIG. 1 is a diagram of a data flow architecture of a PIS system based power generation statistical intelligent analysis unit of the present invention;
FIG. 2 is a general technical roadmap of the invention;
FIG. 3 is a diagram of the network system framework, newly added framework and secondary function catalog of the present invention;
FIG. 4 is a system logic hierarchy diagram of the present invention;
FIG. 5 is a general frame diagram of the present invention;
fig. 6 is a physical deployment view of the system of the present invention.
Detailed Description
The invention will be further described with reference to the drawings.
As shown in fig. 1 to 6, the intelligent analysis unit based on PIS system power production statistics comprises an on-line power grid system, wherein the on-line power grid system comprises a data center, the data center is communicated with an ISC and an enterprise portal for data real-time calling and writing, an infrastructure layer of the on-line power grid system is utilized, existing software and hardware resources in the on-line power grid system are utilized for providing environment building and computing services, meanwhile, a data layer is utilized for storing, processing, managing and applying computing data, data query and computing services of a data platform are realized, real-time power data query and computing services are carried out on the data center and the communicated ISC and enterprise portal, and finally, service application contents are displayed to clients and staff through an application layer, namely in a client side mode, by adopting technical means such as dynamic charts, tables and other display controls;
the data center station is provided with a source network load equipment automatic integration unit, a source network load equipment quality automatic monitoring unit, a power supply and supply automatic statistics unit, a synchronous electricity sales industry analysis unit, a synchronous electricity monitoring intelligent statistics unit and a production statistics intelligent interaction unit;
the source network load equipment automation integration unit is used for fully automatically accessing equipment archive data and automatically configuring access equipment with the same attribute as the administrative region;
the source network load equipment quality automatic monitoring unit is used for automatically monitoring the integrity and rationality of the access equipment files and the mutual auditing relation among the access equipment, and feeding back monitoring results to statistics staff in a to-be-handled form;
the automatic statistics unit for power generation and supply is used for tracking power generation, managing labels, issuing power generation data, analyzing account data of the power supply station, managing power files, and realizing automatic correction and reminding of statistical reports through strict and standardized management of power generation and supply statistical time sequences and processes;
the contemporaneous electricity sales industry analysis unit is used for accessing users of the distribution network, analyzing the electricity of different industries, and displaying and positioning the industry electricity based on GIS;
the contemporaneous electric quantity monitoring intelligent statistical unit is used for automatically comparing power supply gateways of the online power grid system and the contemporaneous system;
the production statistics intelligent interaction unit is used for acquiring user behavior habits, knowing work tasks and data indexes focused by users and providing intelligent personalized task to-do reminding.
The automatic integration unit of the source network load equipment realizes full-automatic access of various equipment data, monitors automatic configuration of administrative region attributes of equipment, and an automatic generation unit of whether agricultural network indexes are generated or not, further traces the power grid equipment index attributes, and realizes full-automatic access of power grid equipment files including indexes such as limit capacity of distribution network lines; the field access is realized through accessing the data center station.
The source network load equipment quality automatic monitoring unit also comprises a data quality integrity automatic monitoring subunit and a data quality rationality automatic monitoring unit;
the automatic monitoring subunit of the data quality integrity is used for monitoring whether the name, the unit of the transformer substation, the voltage level and the capacity information are complete or not, and if the information is missing, early warning is carried out;
the automatic monitoring unit for the rationality of the data quality is used for monitoring whether the name, the unit, the voltage level and the capacity of the transformer substation accord with the specifications or not and carrying out early warning on indexes which do not accord with the specifications or are not in a reasonable numerical range.
The contemporaneous electricity sales industry analysis unit comprises a plurality of electricity access subunits, is suitable for accessing various types of electricity consumption, is communicated with a power grid GIS platform and realizes display analysis;
the contemporaneous electric quantity monitoring intelligent statistical unit specifically comprises a gateway automatic integration subunit, an automatic monitoring unit for power supply quantity and sales electric quantity, a statistical task reminding unit, a statistical result retrieval and report batch summarization and release.
The production statistics intelligent interaction unit is divided into an intelligent reminding subunit and an intelligent visualization subunit, and calculates and calls services through an API service, an analysis scene service, an algorithm model service and a tag service in JDBC data analysis service
As shown in fig. 1, the data processing method based on the PIS system power production statistics intelligent analysis unit of the present invention comprises the following steps,
the method comprises the steps of (A) realizing data storage and calculation based on a data center in an online power grid, forming basic data after data integration, data check, data correction, data monitoring and data calculation of source service data, and providing data support for online power grid service application by combining service application data and management data;
the method comprises the steps that (B), an analysis layer DM, a sharing layer and a patch layer in a data center form an offline computing area, and the offline computing area is used for data archiving of data written in the streaming computing area;
step (C), the streaming data distribution function in the streaming computing area distributes data to the streaming computing function for computing, and the streaming computing function writes the computing data into the online area in real time;
measuring and calling the calculation data of the flow calculation function in real time by the TS function, the relation library RDS and the memory calculation Redis in the online area, and reflowing the data to the offline calculation area, namely a data center station;
and (E) the business application layer performs interface or service call with the online area and the data of the data center station by calling the data analysis service.
As shown in fig. 1, a data processing method based on a PIS system power production statistics intelligent analysis unit, the step (E) further includes the steps of,
(E1) Based on calling the data analysis service, the online area is directly called with a DW data service/self-development server interface for API service calculation and analysis scene service;
(E2) Meanwhile, the service application layer directly calls the real-time calculation data of the online area, and displays the calculation data in real time.
As shown in fig. 2, the intelligent decision-making, perfecting and optimizing system for economic operation of the active power distribution network is logically divided into four layers: the bottommost layer is a data access layer and provides access to basic data and business data; the second layer is a service logic layer, provides a service logic component needed by the system, and mainly realizes service logic implementation of system function application; the third layer is a service application layer and provides an aggregation function implementation of a system service application function module; the topmost layer is a presentation layer directly presented to the end user for the user to perform daily business interaction.
Meanwhile, the production statistics intelligent analysis monitoring application service deployment unit is also provided with a plurality of grading two-class units, and has automatic updating of a monitoring module, monitoring analysis results, automatic prompt and interaction functions of backlog. The intelligent reminding is to take the role work of the user as the main role and collect the behavior habit of the user, know the work task and data index focused by the user and provide intelligent personalized task reminding and information pushing service in the using process of the system; the function enables the data user to interact with the data in real time at any time and any place by using text, voice and data, and find the answer of the data which the user wants, so that the data user can feel the application experience of conversational analysis. The problem that tasks to be handled are fuzzy after too many statistics personnel enter the module at the function points of the network is mainly solved; generating a sales power thermodynamic diagram of the branch industry. The problem that the display of the sales electric quantity of the different industries is not visual enough is solved. Depending on data such as gateway, electric quantity, operation and the like of professional departments such as automatic integration equipment, marketing, scheduling, electric power transaction, development department and the like of the data center, the access to various data is completed through the conversion relation between a source end and a statistical platform index, the summarization calculation is carried out on the condition that part of attributes need to be processed by combining with the source data, the data processing process is finally completed, zero input of the statistical index is realized, the real-time calculation of the statistical electric quantity is carried out, and the operation mode of returning to the true statistical data is realized. And support the maintenance management functions such as data information addition, modification, deletion and the like.
In summary, the intelligent analysis unit for power production statistics based on the PIS system and the data processing method additionally develop the intelligent analysis unit based on the network power grid system platform, communicate with the ISC and the enterprise portal equipment data, realize the real-time calling and writing of the power production data, and have the following advantages:
(1) By developing and setting an automatic integration unit of source network load equipment, full-automatic access of various equipment data, automatic configuration function of administrative region attributes of equipment, the problems that the equipment cannot automatically enter a statistics and reporting unit and whether agricultural network index errors are difficult to monitor manually are solved, the index attributes of the power grid equipment are further traced, full-automatic access of the power grid equipment files including indexes such as limit capacity of a distribution network line is realized, automatic comparison of special equipment files of a power grid system and marketing 2.0 system equipment on the network is realized, automatic comparison of public equipment files and middle station system equipment of power grid resources is realized, and the problem of full-automatic update of the equipment attributes is realized;
(2) The method comprises the steps of automatically monitoring newly-added transformer substation files and transformer files through a source network load equipment quality automatic monitoring unit, and simultaneously feeding back monitoring results to statistics staff in a to-be-handled mode;
(3) The automatic statistics unit is used for automatically monitoring the integrity and rationality of the access equipment files and the mutual auditing relation among the access equipment, and feeding back the monitoring result to statistics staff in a to-be-handled form;
(4) By setting the contemporaneous electricity sales industry analysis unit, the abnormal diagnosis and modification functions of the user electricity can be carried out on the user information of 10kV and above, the development and maintenance of customers are easy, and the maintenance functions of the concerned industry are developed; the ranking condition of the users can be counted in a multi-dimensional manner, meanwhile, based on the electricity quantity data of the users and the industries in the same period, the distribution condition of the users, the types of the industries, the voltage levels and other multi-attribute multi-dimensional display users can be focused on the GIS map, the positions of the users can be positioned, the geographic coordinates of the users can be found rapidly, and meanwhile, the indexes such as the electricity quantity of the users, the accumulated electricity quantity and the like can be displayed;
(5) The intelligent statistics unit for synchronous electric quantity monitoring is arranged, so that the automatic comparison of power supply gateways of an online power grid system and a synchronous system is realized, the visual statistics of data is carried out, the intelligent monitoring function of unit supply sale loss is realized, the high-efficiency intelligent inquiry and the automatic data analysis function are realized, and conditions and basis are provided for intelligent decision making; meanwhile, summarizing and publishing of the statistical report forms can be executed in batches, so that the statistical registration time of staff is greatly improved, and the efficiency is remarkably improved;
(6) The intelligent interaction unit for production statistics is arranged, and based on calling data analysis service, a DW data service/self-development server interface is directly called for an online area and used for API service calculation and analysis of scene service, work is conducted according to user roles as a main role, user behavior habits are collected, work tasks and data indexes focused by users are known, intelligent personalized task to-do reminding is provided, and intelligent office is realized.
The foregoing has outlined and described the basic principles, features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. The utility model provides an intelligent analysis unit of electric power production statistics based on PIS system, includes on-grid system, its characterized in that: the online power grid system comprises a data center, wherein the data center is communicated with the ISC and the enterprise portal and is used for calling and writing data in real time;
the data center station is provided with a source network load equipment automatic integration unit, a source network load equipment quality automatic monitoring unit, a power supply and supply automatic statistics unit, a synchronous electricity sales industry analysis unit, a synchronous electricity monitoring intelligent statistics unit and a production statistics intelligent interaction unit;
the source network load equipment automation integration unit is used for fully automatically accessing equipment archive data and automatically configuring access equipment with the same attribute as the administrative region;
the source network load equipment quality automatic monitoring unit is used for automatically monitoring the integrity and rationality of the access equipment files and the mutual auditing relation among the access equipment, and feeding back monitoring results to statistics staff in a to-be-handled form;
the automatic statistics unit for power generation and supply is used for tracking power generation, managing labels, issuing power generation data, analyzing account data of the power supply station, managing power files, and realizing automatic correction and reminding of statistical reports through strict and standardized management of power generation and supply statistical time sequences and processes;
the contemporaneous electricity sales industry analysis unit is used for accessing users of the distribution network, analyzing the electricity of different industries, and displaying and positioning the industry electricity based on GIS;
the contemporaneous electric quantity monitoring intelligent statistical unit is used for automatically comparing power supply gateways of the online power grid system and the contemporaneous system;
the production statistics intelligent interaction unit is used for acquiring user behavior habits, knowing work tasks and data indexes focused by users and providing intelligent personalized task to-do reminding.
2. A PIS system-based power production statistics intelligent analysis unit according to claim 1, wherein: the automatic integration unit of the source network load equipment realizes full-automatic access of various equipment data, monitors the automatic configuration of the administrative region attribute of the equipment, and the automatic generation unit of whether the rural power grid index is used for further tracing the attribute of the power grid equipment to realize full-automatic access of the power grid equipment files including the indexes such as limit capacity of the distribution network line; the field access is realized through accessing the data center station.
3. A PIS system-based power production statistics intelligent analysis unit according to claim 1, wherein: the source network load equipment quality automatic monitoring unit also comprises a data quality integrity automatic monitoring subunit and a data quality rationality automatic monitoring unit;
the automatic monitoring subunit of the data quality integrity is used for monitoring whether the name, the unit of the transformer substation, the voltage level and the capacity information are complete or not, and if the information is missing, early warning is carried out;
the automatic monitoring unit for the rationality of the data quality is used for monitoring whether the name, the unit, the voltage level and the capacity of the transformer substation accord with the specifications or not and carrying out early warning on indexes which do not accord with the specifications or are not in a reasonable numerical range.
4. A PIS system-based power production statistics intelligent analysis unit according to claim 1, wherein: the automatic statistics unit for power generation and supply comprises a power generation statistics tracking subunit, a power data reporting subunit, a power isolated point identification and networking subunit, a visualization subunit on a power diagram and a power generation and supply statistics intelligent monitoring unit.
5. A PIS system-based power production statistics intelligent analysis unit according to claim 1, wherein: the contemporaneous electricity sales industry analysis unit comprises a plurality of electricity access subunits, is suitable for accessing various types of electricity consumption, is communicated with the power grid GIS platform, and achieves display analysis.
6. A PIS system-based power production statistics intelligent analysis unit according to claim 1, wherein: the contemporaneous electric quantity monitoring intelligent statistical unit specifically comprises a gateway automatic integration subunit, an automatic monitoring unit for power supply quantity and sales electric quantity, a statistical task reminding unit, a statistical result retrieval and report batch summarization and release.
7. A PIS system-based power production statistics intelligent analysis unit according to claim 1, wherein: the production statistics intelligent interaction unit is divided into an intelligent reminding subunit and an intelligent visualization subunit, and calculation and service call are carried out through an API service, an analysis scene service, an algorithm model service and a tag service in the JDBC data analysis service.
8. A data processing method based on a PIS system power production statistics intelligent analysis unit according to any one of claims 1-7, characterized in that: comprises the steps of,
the method comprises the steps of (A) realizing data storage and calculation based on a data center in an online power grid, forming basic data after data integration, data check, data correction, data monitoring and data calculation of source service data, and providing data support for online power grid service application by combining service application data and management data;
the method comprises the steps that (B), an analysis layer DM, a sharing layer and a patch layer in a data center form an offline computing area, and the offline computing area is used for data archiving of data written in the streaming computing area;
step (C), the streaming data distribution function in the streaming computing area distributes data to the streaming computing function for computing, and the streaming computing function writes the computing data into the online area in real time;
measuring and calling the calculation data of the flow calculation function in real time by the TS function, the relation library RDS and the memory calculation Redis in the online area, and reflowing the data to the offline calculation area, namely a data center station;
and (E) the business application layer performs interface or service call with the online area and the data of the data center station by calling the data analysis service.
9. The data processing method based on the intelligent analysis unit for electric power production of the PIS system according to claim 8, wherein: said step (E) further comprising the step of,
(E1) Based on calling the data analysis service, the online area is directly called with a DW data service/self-development server interface for API service calculation and analysis scene service;
(E2) Meanwhile, the service application layer directly calls the real-time calculation data of the online area, and displays the calculation data in real time.
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