CN115689606A - Regional short message service settlement process optimization statistical analysis system - Google Patents
Regional short message service settlement process optimization statistical analysis system Download PDFInfo
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- CN115689606A CN115689606A CN202211246768.8A CN202211246768A CN115689606A CN 115689606 A CN115689606 A CN 115689606A CN 202211246768 A CN202211246768 A CN 202211246768A CN 115689606 A CN115689606 A CN 115689606A
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Abstract
The invention discloses an optimized statistical analysis system for regional short message service settlement processes, which comprises a data acquisition module, a data preprocessing module, a centralized data processing module, an IDE editing module and a permission management module, wherein the data acquisition module acquires short message data information and transmits the short message data information to the data preprocessing module; the short message data information is processed, and the unit price of the power consumption in the current month is adjusted.
Description
Technical Field
The invention relates to the technical field of electric power data processing, in particular to an optimized statistical analysis system for a regional short message service settlement process.
Background
At present, data information checking is carried out on electricity consumption unit price data information, electricity consumption data information and electricity consumption user data information manually to determine whether the data information has errors or not, the data information has no errors, and the electricity consumption unit price in the current month is adjusted based on the data information; however, this data information checking method not only requires a lot of labor, but also causes errors in checking data information if the checking personnel work for a long time inevitably during checking a lot of data information, and the work efficiency of the data checking method is low.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an optimized statistical analysis system for the regional short message service settlement process, which realizes the processing based on the short message data information and efficiently adjusts the unit price of the electricity in the current month.
In order to achieve the purpose, the invention adopts the following technical scheme:
a regional short message service settlement process optimization statistical analysis system comprises a data acquisition module, a data preprocessing module, a centralized data processing module, an IDE editing module and a permission management module, wherein the data acquisition module acquires short message data information and transmits the short message data information to the data preprocessing module, the data preprocessing module receives the short message data information transmitted by the data acquisition module and preprocesses the short message data information, the data preprocessing module transmits a preprocessing result to the centralized data processing module, the centralized data processing module receives the preprocessing result transmitted by the data preprocessing module and performs multi-dimensional combined comprehensive processing, and based on the multi-dimensional combined comprehensive processing result, the IDE editing module is called according to the level permission of the permission management module to perform editing processing and updating.
Further, the short message data information includes electricity consumption unit price data information, electricity consumption data information and electricity consumption user data information.
Further, the pretreatment comprises:
carrying out data information characteristic identification on the short message data information, and storing the short message data information into a database according to the identified data information characteristic;
and determining the electricity consumption unit price based on the electricity quantity of the electricity consumption data information or/and the area where the electricity consumption user data information is located.
Further, the data information features include an area location feature, a power consumption feature, and a power consumption unit price feature.
Further, determining the electricity consumption unit price based on the amount of electricity in the electricity consumption data information or/and the area where the electricity consumption user data information is located specifically includes:
dividing the electricity consumption grade based on the electricity quantity of the electricity consumption data information, and determining the electricity consumption unit price;
or determining the electricity consumption unit price based on different area positions of the electricity consumption user data information;
or the electricity consumption grades are divided based on the electricity consumption of the electricity consumption data information, and the electricity consumption unit price is determined according to the difference between the electricity consumption grades and the area positions of the electricity consumption user data information.
Further, the multi-dimensional combined comprehensive treatment comprises:
adjusting the electricity consumption unit price of the current month electricity consumption user based on the electricity consumption of the previous month electricity consumption user;
or/and based on the user type of the electricity user, adjusting the electricity unit price of the electricity user;
or/and adjusting the electricity consumption unit price of the electricity consumption user in the current month based on the electricity type.
Further, invoking the IDE editing module to perform editing processing includes:
adjusting the power consumption grading of the power consumption users, and adjusting the power consumption unit price of the power consumption users in the current month up or down;
adjusting the electricity consumption unit price of the electricity consumption user based on the user type of the electricity consumption user;
and adjusting the electricity consumption unit price of the electricity consumption user in the current month based on the electricity type of the electricity consumption.
The invention has the beneficial effects that: an optimized statistical analysis system for regional short message service settlement process realizes processing based on short message data information and efficiently adjusts the monthly electricity consumption unit price; the system replaces manual checking of the short message data information, and working efficiency and accuracy are improved. Based on the previous month short message data information, the system automatically adjusts the unit price of the current month electricity consumption without checking by a large number of personnel, thereby greatly improving the working efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of an optimized statistical analysis system for a regional short message service settlement process according to the present invention.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without inventive step, are intended to be within the scope of the present disclosure.
The first embodiment is as follows:
a regional short message service settlement process optimization statistical analysis system comprises a data acquisition module, a data preprocessing module, a centralized data processing module, an IDE editing module and a permission management module, wherein the data acquisition module acquires short message data information and transmits the short message data information to the data preprocessing module, the data preprocessing module receives the short message data information transmitted by the data acquisition module and preprocesses the short message data information, the data preprocessing module transmits a preprocessing result to the centralized data processing module, the centralized data processing module receives the preprocessing result transmitted by the data preprocessing module and performs multi-dimensional combination comprehensive processing, and based on the multi-dimensional combination comprehensive processing result, the IDE editing module is called according to the grade permission of the permission management module to perform editing processing and updating.
The data acquisition module acquires short message data information and transmits the short message data information to the data preprocessing module, the data acquisition module acquires the short message data information, the short message data information comprises electricity consumption unit price data information, electricity consumption data information and electricity consumption user data information, and the data acquisition module acquires the short message data information and transmits the short message data information to the data preprocessing module.
The data acquisition module acquires short message data information and transmits the short message data information to the data preprocessing module, and the data preprocessing module receives and preprocesses the short message data information transmitted by the data acquisition module;
the pretreatment comprises the following steps: carrying out data information characteristic identification on the short message data information, and storing the short message data information into a database according to the identified data information characteristic;
and determining the electricity consumption unit price based on the electricity consumption amount of the electricity consumption data information or/and the area of the electricity consumption user data information.
Performing data information characteristic identification on the short message data information, and storing the short message data information into a database according to the identified data information characteristic, wherein the data information characteristic comprises an area position characteristic, a power consumption characteristic and a power consumption unit price characteristic; and performing data information characteristic identification on the short message data information, and storing the short message data information into a database according to the identified regional position characteristics, or/and the electricity consumption unit price characteristics.
And determining the electricity consumption unit price based on the quantity of electricity of the electricity consumption data information or/and the area where the electricity consumption user data information is located, namely, dividing the electricity consumption grade according to the position of the area where the electricity consumption user data information is located, or/and the quantity of electricity of the electricity consumption data information to determine the electricity consumption unit price. The determining the electricity consumption unit price based on the electricity quantity of the electricity consumption data information or/and the area where the electricity consumption user data information is located specifically comprises:
dividing power consumption grades based on the quantity of electricity of the power consumption data information, and determining power consumption unit price;
or determining the electricity consumption unit price based on different area positions of the electricity consumption user data information;
or the electricity consumption grades are divided based on the electricity consumption of the electricity consumption data information, and the electricity consumption unit price is determined according to the difference between the electricity consumption grades and the area positions of the electricity consumption user data information.
For example, if the area position where the electricity user data information is located is identified as the first area position characteristic, the electricity user data information is stored in the first unit sub-database; if the area position where the electricity user data information is identified is the second area position characteristic, storing the information to a second unit sub-database; if the area position where the data information of the electricity utilization user is identified is the third area position feature, the data information is stored in a third unit sub-database 8230, wherein 8230is needed to be explained, the data information feature identification is conducted on the short message data information and the data information is stored in the database according to the identified area position feature, or/and the electricity consumption feature, or/and the electricity utilization unit price feature.
The data preprocessing module transmits the preprocessing result to the centralized data processing module, the centralized data processing module receives the preprocessing result transmitted by the data preprocessing module and carries out multi-dimensional combined comprehensive processing, and the multi-dimensional combined comprehensive processing comprises the following steps:
adjusting the electricity consumption unit price of the current month electricity consumption user based on the electricity consumption of the previous month electricity consumption user;
or/and adjusting the electricity consumption unit price of the electricity consumption user based on the user type of the electricity consumption user;
or/and adjusting the electricity consumption unit price of the electricity consumption user in the current month based on the electricity type.
The electricity consumption unit price of the current-month electricity consumer is adjusted based on the electricity consumption of the previous-month electricity consumer, and is called in one level if the electricity consumption of the previous-month electricity consumer is greater than or equal to the first electricity threshold; if the power consumption of the power consumption user in the previous month is greater than or equal to the second power threshold, the power consumption unit price of the power consumption user in the current month is the second-level upper calling power unit price; if the power consumption of the power consumption user in the previous month is greater than or equal to the third power consumption threshold, the power consumption unit price of the power consumption user in the current month is the power consumption unit price called in three levels; the calling unit price at the first level is higher than that at the second level, and the calling unit price at the second level is higher than that at the third level.
And/or adjusting the electricity consumption unit price of the electricity consumption user based on the user type of the electricity consumption user, wherein the user type comprises residential electricity consumption users and enterprise electricity consumption users.
The electric power type comprises a wind power type, a photovoltaic power type, a coal power type and the like; adjusting the electricity consumption unit price of the current-month electricity consumption user based on the electricity type, for example, if the electricity type is a wind electricity type, adjusting the electricity consumption unit price of the current-month electricity consumption user to be one level and adjusting the electricity consumption unit price; if the power type is a photovoltaic power type, adjusting the power consumption unit price of the power consumption user in the current month to be a second-level lower power consumption unit price; if the power type is a coal power type, adjusting the power consumption unit price of the power consumption user in the current month to be three-level lower power consumption unit price; the first-level downward-adjusting electricity consumption unit price is lower than the second-level downward-adjusting electricity consumption unit price, and the second-level downward-adjusting electricity consumption unit price is lower than the third-level downward-adjusting electricity consumption unit price.
And calling the IDE editing module to edit and update according to the level authority of the authority management module based on the multi-dimensional combined comprehensive processing result. The authority management module comprises a primary manager, a secondary manager and a tertiary manager. The level authority of the primary administrator is higher than that of the secondary administrator, and the level authority of the secondary administrator is higher than that of the tertiary administrator. The level authority of a primary administrator can call an IDE editing module to perform editing processing, a secondary administrator needs to apply permission authorization to the primary administrator and can call the IDE editing module to perform editing processing, a tertiary administrator cannot apply permission authorization to the primary administrator, and the tertiary administrator can only log in and view information and cannot edit the information.
The method for calling the IDE editing module to perform editing processing comprises the following steps:
adjusting the power consumption grading of the power consumption users, and adjusting the power consumption unit price of the power consumption users in the current month up or down;
adjusting the electricity consumption unit price of the electricity consumption user based on the user type of the electricity consumption user;
and adjusting the electricity consumption unit price of the electricity consumption user in the current month based on the electricity type of the electricity consumption.
In the description of the present invention, it should be noted that the terms "first", "second" and "third" are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
The above description is for illustrative purposes only and is not intended to limit the present invention, and any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention should be included within the scope of the present invention as defined by the appended claims.
Claims (7)
1. The system is characterized by comprising a data acquisition module, a data preprocessing module, a centralized data processing module, an IDE editing module and a permission management module, wherein the data acquisition module acquires short message data information and transmits the short message data information to the data preprocessing module, the data preprocessing module receives the short message data information transmitted by the data acquisition module and preprocesses the short message data information, the data preprocessing module transmits a preprocessing result to the centralized data processing module, the centralized data processing module receives the preprocessing result transmitted by the data preprocessing module and performs multi-dimensional combined comprehensive processing, and based on the multi-dimensional combined comprehensive processing result, the IDE editing module is called according to the level permission of the permission management module to perform editing processing and updating.
2. The system of claim 1, wherein the short message data information comprises electricity consumption unit price data information, electricity consumption data information, and electricity consumption user data information.
3. The system of claim 1, wherein the preprocessing comprises:
carrying out data information characteristic identification on the short message data information, and storing the short message data information into a database according to the identified data information characteristic;
and determining the electricity consumption unit price based on the electricity consumption amount of the electricity consumption data information or/and the area of the electricity consumption user data information.
4. The system of claim 3, wherein the data information characteristics comprise regional location characteristics, power consumption characteristics, and power consumption unit price characteristics.
5. The system for optimizing, counting and analyzing the regional short message service settlement process according to claim 3, wherein the determining the electricity consumption unit price based on the amount of electricity in the electricity consumption data information or/and the region where the electricity consumption user data information is located specifically comprises:
dividing power consumption grades based on the quantity of electricity of the power consumption data information, and determining power consumption unit price;
or determining the electricity consumption unit price based on different area positions of the electricity consumption user data information;
or the electricity consumption grades are divided based on the electricity consumption of the electricity consumption data information, and the electricity consumption unit price is determined according to the difference between the electricity consumption grades and the area positions of the electricity consumption user data information.
6. The system of claim 1, wherein the multidimensional combination comprehensive treatment comprises:
adjusting the electricity consumption unit price of the current month electricity consumption user based on the electricity consumption of the previous month electricity consumption user;
or/and adjusting the electricity consumption unit price of the electricity consumption user based on the user type of the electricity consumption user;
or/and based on the power type, adjusting the power consumption unit price of the power consumption user in the current month.
7. The system of claim 1, wherein the invoking of the IDE editing module for editing comprises:
adjusting the power consumption grading of the power consumption users, and adjusting the power consumption unit price of the power consumption users in the current month up or down;
adjusting the electricity consumption unit price of the electricity consumption user based on the user type of the electricity consumption user;
and adjusting the electricity consumption unit price of the electricity consumption user in the current month based on the electricity type of the electricity consumption.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211246768.8A CN115689606A (en) | 2022-10-12 | 2022-10-12 | Regional short message service settlement process optimization statistical analysis system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211246768.8A CN115689606A (en) | 2022-10-12 | 2022-10-12 | Regional short message service settlement process optimization statistical analysis system |
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| CN115689606A true CN115689606A (en) | 2023-02-03 |
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| CN202211246768.8A Pending CN115689606A (en) | 2022-10-12 | 2022-10-12 | Regional short message service settlement process optimization statistical analysis system |
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