Intention management platform for digital power grid construction

Abstract

The invention relates to the technical field of power grids, in particular to an intention management platform for digital power grid construction, which comprises a central processing module, a feedback module, an account management module, an intention management module and a prediction module, and is characterized in that the central processing module is bidirectionally connected with the feedback module, the account management module, the intention management module and the prediction module; the feedback module is used for feeding back and displaying the system information received by the user; and the account management module is used for managing the account of the platform user. According to the intention management platform for digital power grid construction, construction requirements of a digital power grid are integrated, intention data extraction and classification analysis of clients are facilitated, then a client project intention management platform is established, in addition, information of the clients can be integrated, an intention pre-judgment function can be performed, and the construction efficiency is improved. And meanwhile, a feedback module is arranged, so that intention-related information can be highlighted or directionally pushed, and intention management and intention selection of customers are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of power grids, and in particular to an intention management platform for digital power grid construction. Background Art

[0002] In order to show the full picture of the results of digital construction, the power grid company will gather all the digital achievements such as infrastructure, data resources, shared services, data models, algorithm models, digital applications, knowledge cases, etc. scattered in the cloud platform, data middle platform, business middle platform, and technical middle platform, design a scientific hierarchical classification system, and form a unified service window. It has already accessed TB-level achievements. With the rapid development of the power system, the reliability requirements for power generation, substation, distribution, transmission, and power consumption are getting higher and higher. When the power system is in operation, the dispatching and commanding of the power grid and the operation monitoring and management need to receive, store, process, and display a large amount of power grid operation information. With the continuous development of information technology and the continuous improvement of user needs, the existing power control system can no longer meet the needs of customers and power system operation and maintenance personnel in terms of flexibility, system scalability, reliability, convenience, and comprehensiveness. Customer intention plays a vital role in the digital construction of the power grid, so a management platform that is easy to manage customer intention is needed. Summary of the invention

[0003] The purpose of the present invention is to provide an intention management platform for digital power grid construction to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions: an intention management platform for digital power grid construction, comprising a central processing module, a feedback module, an account management module, an intention management module and a prediction module, wherein the central processing module and the feedback module, the account management module, the intention management module and the prediction module are bidirectionally connected;

[0005] The feedback module is used to feedback and display the system information received by the user;

[0006] The account management module is used to manage the accounts of platform users;

[0007] The intention management module is used to operate the intention information received by the platform;

[0008] The prediction module is used to predict the user's intention.

[0009] Preferably, the account management module includes a registration unit, a login unit, an encryption unit and a storage unit;

[0010] The registration unit is used to register a platform account;

[0011] The login unit is used to log in to the registered account, and the login unit includes a first login subunit and a second login subunit, the first login subunit is used for logging in with a customer user account, and the second login subunit is used for logging in with an administrator user account;

[0012] The encryption unit is used to encrypt the account number;

[0013] The storage unit is used to store all account information.

[0014] Preferably, the encryption unit includes an identification subunit, a setting subunit, a calculation subunit, a storage subunit, a key subunit and a secondary encryption subunit;

[0015] The identification subunit is used to identify the secure storage value of the account user identity information in the storage unit and the retained value of the personal related information that the user intends to store;

[0016] The setting subunit is used to summarize the user identity information and personal related information retention values ​​output by the identification subunit, and set the user identity information characteristic value according to the secure storage value;

[0017] The calculation subunit generates a first encryption component according to the user identity information and the calculated user identity information characteristic value;

[0018] The storage subunit is used to store user identity information and user identity information characteristic values ​​in the power distribution network in a non-volatile or encrypted manner;

[0019] The key subunit provides cryptographic services, realizing the functions of encrypting and decrypting data using encryption keys, and extracting and updating key data;

[0020] The secondary encryption subunit implements re-encryption of the first encryption component by using the encryption algorithm of the key subunit.

[0021] Preferably, the intention management module includes an intention acquisition unit, an intention display unit, an intention recovery unit, an intention processing unit, an intention storage unit and an intention retrieval unit;

[0022] The intention acquisition unit is used for the platform to acquire the intention of the customer. The intention acquisition unit includes an intention uploading subunit, an intention review subunit and an intention classification subunit. The customer uploads the intention to be proposed through the intention uploading subunit. The intention review subunit is used to review the opinions uploaded by the customer. The intention information after review is classified by the intention classification subunit and stored in the intention storage unit;

[0023] The intention display unit is used to display the classified intention information in a classified list;

[0024] The intention recovery unit is used to store the intention information deleted by the client, and the storage time is one month;

[0025] The intention processing unit is used for management personnel to manually process the intention information proposed by customers;

[0026] The intention retrieval unit provides a retrieval bar, in which a key field is input, and the intention retrieval unit matches the key field information with the intention information in the intention storage unit and displays the matching result.

[0027] Preferably, the intention processing unit contains a feedback subunit, and the feedback subunit sends information on the processing result of the manager on the intention to the feedback module.

[0028] Preferably, the prediction module includes an acquisition unit, a comparison unit, a prediction unit and a feature library unit;

[0029] The acquisition unit is used to acquire the user behavior data of the customer;

[0030] The feature library unit is used to store user behavior data related information of customer accounts;

[0031] The comparison unit extracts user behavior feature data from the user behavior data based on the information in the feature library;

[0032] The prediction unit is used to input the user behavior feature data into a pre-obtained prediction model for calculation to obtain the visitor intention degree.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] The present invention proposes an intention management platform for digital power grid construction, which integrates the construction needs of digital power grids, and mainly facilitates the extraction and classification analysis of customers' intention data, thereby establishing a customer project intention management platform. In addition, the present invention can integrate customer information and perform intention pre-judgment functions. At the same time, a feedback module is provided, which can highlight or push intention-related information, thereby facilitating customer intention management and customer intention selection. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the system structure of the present invention.

[0036] Figure 2 It is a schematic diagram of the structure of the account management module of the present invention.

[0037] Figure 3 It is a schematic diagram of the encryption unit structure of the present invention.

[0038] Figure 4This is a schematic diagram of the structure of the intention management module of the present invention.

[0039] Figure 5 Schematic diagram of the prediction module structure of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figures 1 to 5 , the present invention provides a technical solution: an intention management platform for digital power grid construction, including a central processing module, a feedback module, an account management module, an intention management module and a prediction module, the central processing module and the feedback module, the account management module, the intention management module, and the prediction module are bidirectionally connected;

[0042] The feedback module is used to feedback the system information received by the user. For example, customers can see the processing information of their intentions, and administrators can see the intention information uploaded by customer service.

[0043] The account management module is used to manage the accounts of platform users; the account management module includes a registration unit, a login unit, an encryption unit and a storage unit; the registration unit is used to register a platform account; the login unit is used to log in to the registered account, and the login unit includes a first login sub-unit and a second login sub-unit, the first login sub-unit is used for customer user account login, and the second login sub-unit is used for administrator user account login; the encryption unit is used to encrypt the account; the storage unit is used to store all account information.

[0044] The encryption unit includes an identification subunit, a setting subunit, a calculation subunit, a storage subunit, a key subunit and a secondary encryption subunit; the identification subunit is used to identify the secure storage value of the account user identity information in the storage unit and the personal related information retention value that the user intends to store. The user identity information is represented by Pi, i = 1, 2, ..., m, where the secure storage value of the user identity information is T Pi for:

[0045]

[0046] Among them, L Pi For privacy, etc. Pi is the number of visits per unit time, E PiThe time required to store user identity information, c1, c2, c3 are all preset fixed values, and m represents the number of users;

[0047] The setting subunit is used to summarize the user identity information and personal related information retention value output by the identification subunit, and set the user identity information feature value according to the secure storage value; the personal related information is represented by Qj, j = 1, 2, ..., n, and the personal related information retention value G Qj for:

[0048]

[0049] n represents the number of items of personal information, and the characteristic value is represented by Zq, q = 1, 2, ..., w; the characteristic value Zq is:

[0050] Zq=B f1 *T Pi +B f1 *G Qj

[0051] Among them, B f1 is the preset ratio value of the security storage value of the user identity information, B f2 The preset ratio value for the reserved value of personal related information, w represents the number of eigenvalue items;

[0052] The calculation subunit generates a first encryption component according to the user identity information and the calculated user identity information characteristic value. The first encryption component f is:

[0053]

[0054] Where k is the correction coefficient, and Jm is the storage memory occupied by user identity information and personal related information.

[0055] The storage subunit is used to store user identity information and user identity information characteristic values ​​in the distribution network in a non-volatile or encrypted manner; the key subunit provides cryptographic services to realize the functions of encrypting and decrypting data using encryption keys, and extracting and updating key data; the secondary encryption subunit realizes the re-encryption of the first encryption component by utilizing the encryption algorithm of the key subunit.

[0056] The intention management module is used to operate the intention information received by the platform; the intention management module includes an intention acquisition unit, an intention display unit, an intention recovery unit, an intention processing unit, an intention storage unit and an intention retrieval unit; the intention acquisition unit is used for the platform to obtain the customer's intention, and the intention acquisition unit includes an intention upload subunit, an intention review subunit and an intention classification subunit. The customer uploads the intention to be proposed through the intention upload subunit, and the intention review subunit is used to review the opinions uploaded by the customer. The intention information after review is classified by the intention classification subunit and stored in the intention storage unit. The intention display unit is used to display the classified intention information in a classified list; the intention recycling unit is used to store the intention information that has been deleted by the client, and the storage time is one month; the intention processing unit is used for the management personnel to manually process the intention information proposed by the customer; the intention retrieval unit provides a search bar, and the key field is entered in the search bar. The intention retrieval unit matches the intention information in the intention storage unit according to the key field information and displays the matching results. The intention processing unit contains a feedback subunit, and the feedback subunit sends the information of the management personnel's processing results on the intention to the feedback module.

[0057] The prediction module is used to predict the user's intention, and the prediction module includes an acquisition unit, a comparison unit, a prediction unit and a feature library unit; the acquisition unit is used to obtain the customer's user behavior data; the feature library unit is used to store information related to the user behavior data of the customer account; the comparison unit extracts user behavior feature data from the user behavior data based on the information in the feature library; the prediction unit is used to input the user behavior feature data into a pre-obtained prediction model for calculation to obtain the visitor's intention degree.

[0058] The first historical behavior data is obtained from a preset database; the first historical behavior data is labeled to obtain user behavior label data; model training is performed based on the user behavior label data and decision tree, XGBoost and Lightgbm algorithms to obtain an initial prediction model; the initial prediction model is tested and verified through the first historical user behavior data to obtain a prediction model, which is obtained by training a variety of machine learning algorithm models based on the historical user behavior data, and the visit prediction is performed according to the user's online behavior, which is a supervised classification model; the above prediction model file is deployed on a real-time computing server, and the visitor intention predicted after calculation is output by receiving the obtained user behavior feature data.

[0059] By timely acquiring online user data and inputting it into historical user behavior big data for machine learning training to obtain a predictive model, the predicted user intention and possibility of visit are output, thereby achieving accurate and timely prediction of user intention, fully mining data, and significantly improving the efficiency of online data use, making up for the current shortcomings of low efficiency and unclear results in customer expansion, and helping the industry to gradually shift from extensive management to refined management.

[0060] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intention management platform for digital power grid construction, characterized by: It includes a central processing module, a feedback module, an account management module, an intention management module and a prediction module, wherein the central processing module is bidirectionally connected with the feedback module, the account management module, the intention management module and the prediction module; The feedback module is used to feedback and display the system information received by the user; The account management module is used to manage the accounts of platform users; The intention management module is used to operate the intention information received by the platform; The prediction module is used to predict the user's intention.

2. According to claim 1, an intention management platform for digital power grid construction is characterized by: The account management module includes a registration unit, a login unit, an encryption unit and a storage unit; The registration unit is used to register a platform account; The login unit is used to log in to the registered account, and the login unit includes a first login subunit and a second login subunit, the first login subunit is used for logging in with a customer user account, and the second login subunit is used for logging in with an administrator user account; The encryption unit is used to encrypt the account number; The storage unit is used to store all account information.

3. The intention management platform for digital power grid construction according to claim 2, characterized in that: The encryption unit includes an identification subunit, a setting subunit, a calculation subunit, a storage subunit, a key subunit and a secondary encryption subunit; The identification subunit is used to identify the secure storage value of the account user identity information in the storage unit and the retained value of the personal related information that the user intends to store; The setting subunit is used to summarize the user identity information and personal related information retention values ​​output by the identification subunit, and set the user identity information characteristic value according to the secure storage value; The calculation subunit generates a first encryption component according to the user identity information and the calculated user identity information characteristic value; The storage subunit is used to store user identity information and user identity information characteristic values ​​in the power distribution network in a non-volatile or encrypted manner; The key subunit provides cryptographic services, realizing the functions of encrypting and decrypting data using encryption keys, and extracting and updating key data; The secondary encryption subunit implements re-encryption of the first encryption component by using the encryption algorithm of the key subunit.

4. The intention management platform for digital power grid construction according to claim 1, characterized in that: The intention management module includes an intention acquisition unit, an intention display unit, an intention recovery unit, an intention processing unit, an intention storage unit and an intention retrieval unit; The intention acquisition unit is used for the platform to acquire the intention of the customer. The intention acquisition unit includes an intention uploading subunit, an intention review subunit and an intention classification subunit. The customer uploads the intention to be proposed through the intention uploading subunit. The intention review subunit is used to review the opinions uploaded by the customer. The intention information after review is classified by the intention classification subunit and stored in the intention storage unit; The intention display unit is used to display the classified intention information in a classified list; The intention recovery unit is used to store the intention information deleted by the client, and the storage time is one month; The intention processing unit is used for management personnel to manually process the intention information proposed by customers; The intention retrieval unit provides a retrieval bar, in which a key field is input, and the intention retrieval unit matches the key field information with the intention information in the intention storage unit and displays the matching result.

5. The intention management platform for digital power grid construction according to claim 4, characterized in that: The intention processing unit contains a feedback subunit, which sends information about the processing result of the manager on the intention to the feedback module.

6. The intention management platform for digital power grid construction according to claim 1, characterized in that: The prediction module includes an acquisition unit, a comparison unit, a prediction unit and a feature library unit; The acquisition unit is used to acquire the user behavior data of the customer; The feature library unit is used to store user behavior data related information of customer accounts; The comparison unit extracts user behavior feature data from the user behavior data based on the information in the feature library; The prediction unit is used to input the user behavior feature data into a pre-obtained prediction model for calculation to obtain the visitor intention degree.

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