CN110968628A - Background management system for providing electric quantity data for mobile terminal - Google Patents
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Abstract
The invention relates to a background management system for providing electric quantity data for a mobile terminal, which comprises a data receiving module, a data extracting module, a system predicting module, a data transmission module and a data storage module, wherein the data receiving module of the system receives inquiry request information from a client, receives electric quantity data from a metering system and file data imported by background management personnel, the data extracting module extracts the electric quantity data corresponding to electricity selling users from the data storage module according to the inquiry request information of the electricity selling users at the client, so that three-terminal interaction among the client, the metering platform and the metering system is realized, the file data, the electric quantity data and a predicting result are all stored in the data storage module, and the data intensification degree is high.
Description
Technical Field
The invention relates to the field of electric quantity data management, in particular to a background management system for providing electric quantity data for a mobile terminal.
Background
With the development of the information age, people pay more attention to digital power grids and distributed energy, and an effort is being made to integrate an information revolution and a new energy revolution in the power industry to form a new generation of smart power grids. The smart grid, namely the intellectualization of the grid, also called as "grid 2.0", is established on the basis of an integrated, high-speed two-way communication network, and realizes the purposes of reliability, safety, economy, high efficiency, environmental friendliness and safe use of the grid through the application of advanced sensing and measuring technology, advanced equipment technology, advanced control method and advanced decision support system technology, and the main characteristics of the smart grid comprise self-healing, excitation and inclusion of users, attack resistance, provision of electric energy quality meeting the requirements of users in the 21 st century, permission of access of various power generation situations, starting of an electric power market and optimized and efficient operation of assets. The data information quantity between the electric power market and each user is getting bigger and bigger, the traditional electric power data management system can not meet the requirement of the existing data management, and in order to adapt to the intellectualization of the power grid, a background management system which is suitable for multi-terminal interaction and has high data intensification degree needs to be developed.
Disclosure of Invention
The invention aims to overcome at least one defect in the prior art, and provides a background management system for providing electric quantity data for a mobile terminal, which performs three-terminal interaction among a client, a side demand platform and a metering system, and has high transmission efficiency and high data intensification degree.
The invention achieves its object by the following scheme.
The invention provides a background management system for providing electric quantity data for a mobile terminal, which comprises:
the data receiving module is used for receiving the file data imported by the background management personnel, receiving the query request information of the client, receiving the result of the electricity selling user of the client on the selection of the prediction method and receiving the electric quantity data from the metering system;
the data extraction module is used for extracting the electric quantity data and the historical electric quantity data of the corresponding electricity selling users from the data storage module according to the query request information of the electricity selling users at the client side and at least two prediction methods;
the system prediction module is used for predicting the electric quantity by adopting the at least two prediction methods according to the electric quantity data of the corresponding electricity selling users extracted by the data extraction module and generating a prediction result of each prediction method; the system is also used for weighting the corresponding prediction results according to the results of the client electricity selling users selected by the prediction method received by the data receiving module and generating the final electric quantity prediction results;
the data transmission module is used for transmitting the electric quantity data, the at least two prediction methods and the prediction result of each prediction method and the final electric quantity prediction result to the client;
and the data storage module is used for storing the archive data, the electric quantity data, at least two prediction methods, a prediction result of each prediction method and a final electric quantity prediction result.
The data receiving module of the system receives query request information from the client, receives electric quantity data from the metering system and file data imported by background management personnel, the data extracting module extracts the electric quantity data corresponding to electricity selling users from the data storage module according to the query request information of the electricity selling users at the client, three-end interaction among the client, the measuring platform and the metering system is achieved, the file data, the electric quantity data and the prediction result are stored in the data storage module, and the data intensification degree is high.
Further, the data extraction module is further configured to extract historical average accuracy of the at least two prediction methods and historical prediction results of the at least two prediction methods, where the historical average accuracy is an average accuracy obtained by comparing the final prediction results of each time with the actual power consumption data.
Further, the system prediction module is also used for calculating the growth rate according to the prediction result and the electric quantity data of each prediction method.
Further, the system prediction module ranks the at least two prediction methods according to the historical average accuracy.
Further, the data transmission module sends the prediction method, the historical average accuracy rate, each prediction result and the growth rate to the client according to the sequence of the at least two prediction methods.
The system sends the prediction method, the historical average accuracy rate, the prediction result and the growth rate to the client according to the sequencing sequence of the prediction methods, so that a user of the client can know the condition of each prediction algorithm more intuitively, and the selection of the user of the client is facilitated.
Further, the data receiving module is also used for receiving the electric quantity prediction result from the expert user at the client and receiving reported electric quantity reported by the electricity selling user at the client according to the electric quantity prediction result of the expert user and the final electric quantity prediction result of the system prediction module.
The client electricity selling user reports the electric quantity according to the electric quantity prediction result of the expert user and the final electric quantity prediction result of the system prediction module, and the accuracy rate of reporting the electric quantity can be improved to a certain extent.
Further, the system further comprises a data updating module used for updating the historical average accuracy according to the historical electric quantity data, the electric quantity data and the prediction result of each method.
Further, the profile data comprises profile data of the electricity selling users and customer profile data of the electricity selling companies.
Further, the data storage module stores the received file data in a classified manner, and the customer file data of the same power selling company is stored in the same item and is associated with the file data of the power selling company.
The file data are classified and stored, and the client file data of the same power selling company are stored in the same project and are associated with the file data of the power selling company, so that better management of managers is facilitated.
Furthermore, the system also comprises a data encryption module which is used for encrypting the archive data imported by the background management personnel, generating an archive data ciphertext and storing the archive data ciphertext in the data storage module in the form of the ciphertext. The archive data is encrypted, so that the safety of the client information is improved to a certain extent.
Further, the data receiving module is also used for receiving registration request information from the client.
Further, the system also comprises an information verification module, which is used for matching the registration request information of the client received by the data receiving module with the file data imported by the background management personnel, if the information is consistent, the registration is successful and the user registration information is generated, and if the information is inconsistent, the registration is failed.
Further, the data encryption module is further configured to encrypt the generated user registration information.
Further, the user registration information is registration information of a management account.
Furthermore, the system also comprises a permission management module which is used for setting the permission of managing the account.
Furthermore, the authority management module is also used for setting viewing authority for the imported archive data.
Furthermore, the authority of managing the account includes adding a common member account, checking the management account, modifying the password of the management account and changing bound equipment, checking, modifying, adding and deleting common users, and inquiring and checking customer data.
Compared with the prior art, the invention has the beneficial effects that:
(1) the system realizes three-end interaction among the client, the measuring platform and the metering system, and has high transmission efficiency and high data intensification degree.
(2) The system encrypts the archive data and the registration information of the registered user, and ensures the information security of the client user.
Drawings
FIG. 1 is a block diagram of a system of the present invention;
FIG. 2 is a diagram of a client system prediction interface of the present invention.
Detailed Description
The drawings are only for purposes of illustration and are not to be construed as limiting the invention. For a better understanding of the following embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, which is a system block diagram of the present embodiment, the present embodiment provides a background management system for providing power data to a mobile terminal, including:
the data receiving module is used for receiving the file data imported by the background management personnel, receiving the query request information of the client, receiving the result of the electricity selling user of the client on the selection of the prediction method and receiving the electric quantity data from the metering system;
the data extraction module is used for extracting the electric quantity data and the historical electric quantity data of the corresponding electricity selling users from the data storage module according to the query request information of the electricity selling users at the client side and at least two prediction methods;
the system prediction module is used for predicting the electric quantity by adopting the at least two prediction methods according to the electric quantity data of the corresponding electricity selling users extracted by the data extraction module and generating a prediction result of each prediction method; the system is also used for weighting the corresponding prediction results according to the results of the client electricity selling users selected by the prediction method received by the data receiving module and generating the final electric quantity prediction results;
the data transmission module is used for transmitting the electric quantity data, the at least two prediction methods and the prediction result of each prediction method and the final electric quantity prediction result to the client;
and the data storage module is used for storing the archive data, the electric quantity data, at least two prediction methods, a prediction result of each prediction method and a final electric quantity prediction result.
In the specific implementation process of the embodiment, a data receiving module receives archive data imported by background management personnel, a data storage module stores the archive data, a data receiving module extracts archive data of a corresponding electricity selling user in the data storage module according to query request information of a client after receiving the query request information from the client, a data transmission module transmits the archive data to a metering system, the metering system provides electric quantity data of the corresponding electricity selling user, and a data receiving module receives the electric quantity data from the metering system and stores the electric quantity data in the data storage module; the data extraction module extracts electric quantity data, historical electric quantity data and preset multiple prediction algorithms corresponding to the electricity selling users from the data storage module according to the query request information, and the system prediction module performs electric quantity prediction by adopting ten prediction algorithms in the top ten ranking according to the electric quantity data of the electricity selling users and generates prediction results of each prediction method; the data transmission module transmits the prediction results to the client, the client selects six prediction methods, the data receiving module receives results of electricity selling users of the client on the prediction methods, the system prediction module performs weighting processing on the corresponding prediction results and generates a final electricity prediction result, and the final electricity prediction result is transmitted to the client through the data transmission module. The data receiving module of the system receives query request information from the client, receives electric quantity data from the metering system and file data imported by background management personnel, the data extracting module extracts the electric quantity data corresponding to electricity selling users from the data storage module according to the query request information of the electricity selling users at the client, three-end interaction among the client, the measuring platform and the metering system is achieved, the file data, the electric quantity data and the prediction result are stored in the data storage module, and the data intensification degree is high.
In this embodiment, the data extraction module is further configured to extract historical average accuracy of the at least two prediction methods and historical prediction results of the at least two prediction methods, where the historical average accuracy is an average accuracy obtained by comparing the final prediction result of each time with the actual power consumption data.
In this embodiment, the system prediction module is further configured to calculate an increase rate according to the prediction result and the power data of each prediction method.
In this embodiment, the system prediction module further ranks the at least two prediction methods according to the historical average accuracy.
In this embodiment, as shown in fig. 2, the data transmission module sends the prediction method, the historical average accuracy, each prediction result, and the growth rate to the client according to the sequence of the at least two prediction methods. The system sends the prediction method, the historical average accuracy rate, the prediction result and the growth rate to the client according to the sequencing sequence of the prediction methods, so that a user of the client can know the condition of each prediction algorithm more intuitively, and the selection of the user of the client is facilitated.
In this embodiment, the data receiving module is further configured to receive an electric quantity prediction result from an expert user at the client and receive a declared electric quantity that is declared by an electric power selling user at the client according to the electric quantity prediction result of the expert user and a final electric quantity prediction result of the system prediction module. The client electricity selling user reports the electric quantity according to the electric quantity prediction result of the expert user and the final electric quantity prediction result of the system prediction module, and the accuracy rate of reporting the electric quantity can be improved to a certain extent.
In this embodiment, the system further includes a data updating module, configured to update the historical average accuracy according to the historical electric quantity data, the electric quantity data, and the prediction result of each method.
In a specific implementation process, before electric quantity prediction is carried out on the system, the data extraction module extracts electric quantity data, historical electric quantity data, a prediction method of top ten ranking and the historical prediction accuracy of the prediction method of an electricity selling user, the ranking of the prediction method is sorted from large to small according to the historical prediction accuracy, the data updating module calculates the accuracy of the prediction method according to the prediction result and the current electric quantity data and updates the historical accuracy, the system prediction module calculates the increase rate of the prediction result of each prediction method relative to the electric quantity data according to the prediction result of each prediction method and the electric quantity data, and sorts the prediction methods according to the updated historical accuracy; and the data transmission module sends the prediction method, the prediction result, the historical accuracy rate and the growth rate to the client according to the sequence of the prediction method.
In this embodiment, the archive data includes archive data of electricity selling users and customer archive data of electricity selling companies, the data storage module stores the received archive data in a classified manner, and the customer archive data of the same electricity selling company is stored in the same item and is associated with the archive data of the electricity selling company. The file data are classified and stored, and the client file data of the same power selling company are stored in the same project and are associated with the file data of the power selling company, so that better management of managers is facilitated.
In this embodiment, the system further includes a data encryption module, configured to encrypt the archive data imported by the backend administrator, generate an archive data ciphertext, and store the archive data ciphertext in the data storage module in the form of a ciphertext. The archive data is encrypted, so that the safety of the client information is improved to a certain extent.
In this embodiment, the data receiving module is further configured to receive registration request information from a client.
In this embodiment, the system further includes an information verification module, configured to match, according to the registration request information of the client received by the data receiving module, the archive data imported by the background manager, where if the information is consistent, the registration is successful and user registration information is generated, and if the information is inconsistent, the registration is failed.
In this embodiment, the data encryption module is further configured to encrypt the generated user registration information.
In this embodiment, the user registration information is registration information of a management account.
In this embodiment, the system further includes a permission management module, configured to set a permission for managing the account, and the permission management module is further configured to set a viewing permission for the imported archive data. The authority of the management account comprises adding a common member account, checking the management account, modifying the password of the management account and changing bound equipment, checking, modifying, newly adding and deleting common users, and inquiring and checking customer data.
In a specific implementation process, a data receiving module receives registration request information from a client, and the user is registered as registration information of a management account; the information verification module matches the registration request information with the archive data in the data storage module, if the information is consistent, the registration is successful and user registration information is generated, the data encryption module encrypts the user registration information, and if the information is inconsistent, the registration is failed; the authority management module of the system sets viewing authority for imported file data and authority for a successfully registered management account, the authority of the management account comprises adding common member accounts, viewing the management account, modifying the management account password and changing bound equipment, viewing, modifying, newly adding and deleting common users, and inquiring and viewing customer information, and each electricity-selling company has one management account with four common member accounts.
Claims (10)
1. A background management system for providing power data to a mobile terminal, comprising:
the data receiving module is used for receiving the file data imported by the background management personnel, receiving the query request information of the client, receiving the result of the electricity selling user of the client on the selection of the prediction method and receiving the electric quantity data from the metering system;
the data extraction module is used for extracting the electric quantity data and the historical electric quantity data of the corresponding electricity selling users and at least two preset prediction methods from the data storage module according to the query request information of the electricity selling users at the client;
the system prediction module is used for predicting the electric quantity by adopting the at least two prediction methods according to the electric quantity data of the corresponding electricity selling users extracted by the data extraction module and generating a prediction result of each prediction method;
the system is also used for weighting the corresponding prediction results according to the results of the client electricity selling users selected by the prediction method received by the data receiving module and generating the final electric quantity prediction results;
the data transmission module is used for transmitting the at least two prediction methods, the prediction result of each prediction method and the final electric quantity prediction result to the client;
and the data storage module is used for storing the archive data, the electric quantity data, at least two prediction methods, a prediction result of each prediction method and a final electric quantity prediction result.
2. The background management system for providing power data for a mobile terminal according to claim 1, wherein the data extraction module is further configured to extract historical average accuracy of the at least two prediction methods and historical prediction results of the at least two prediction methods, and the historical average accuracy is obtained by comparing final prediction results of respective times with actual power data.
3. The background management system for providing power data to a mobile terminal as claimed in claim 2, wherein the system prediction module is further configured to calculate the growth rate according to the prediction result and the power data of each prediction method.
4. The background management system for providing power data to a mobile terminal according to claim 3, wherein the system prediction module is further configured to rank the at least two prediction methods according to the historical average accuracy.
5. The background management system for providing power data for a mobile terminal according to claim 4, wherein the data transmission module sends the prediction method, the historical average accuracy rate, each prediction result and the growth rate to the client according to the sequence of the at least two prediction methods.
6. The background management system for providing power data for a mobile terminal according to claim 5, wherein the data receiving module is further configured to receive a power prediction result from an expert user at the client and a reported power from a power selling user at the client, which is reported according to the power prediction result of the expert user and a final power prediction result of the system prediction module.
7. A background management system for providing power data to a mobile terminal according to any of claims 2-6, wherein the system further comprises a data update module for updating the historical average accuracy according to the historical power data, the power data and the prediction results of each method.
8. A background management system for providing power data to a mobile terminal as recited in claim 1, wherein the profile data includes profile data of a power selling user and customer profile data of a power selling company.
9. A background management system for providing power data for a mobile terminal as claimed in claim 8, wherein the data storage module stores the received profile data in a classified manner, and the customer profile data of the same power selling company is stored in the same item and associated with the profile data of the power selling company.
10. A background management system for providing power data by a mobile terminal according to claim 1, further comprising a data encryption module for encrypting the archive data imported by the background manager, generating an archive data ciphertext, and storing the archive data ciphertext in the data storage module in the form of a ciphertext.
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Application publication date: 20200407 |