AI-based power supply and energy efficiency service interpretation system and method

Abstract

The application discloses a power supply and energy efficiency service interpretation system based on AI artificial intelligence, a background management module of which selects corresponding voice broadcast services and energy use suggestion services according to user demand information; when the background management module selects the voice broadcast services, a voice broadcast service module encodes power supply and energy efficiency service voice messages to be executed in a queue to obtain corresponding audio stream data, and a text-to-speech engine performs voice synthesis output; when the background management module selects the energy use suggestion services, an energy use suggestion module queries corresponding cases in a power supply and energy efficiency service case database through an energy use recommendation label, adds a name value corresponding to case information to a content header sent to a browser according to an http-equiv attribute of the case information, and then jumps to a specified address. The application realizes the intelligentization of customer service and improves customer service experience.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, in particular to a power supply and energy efficiency service interpretation system and method based on AI artificial intelligence. BACKGROUND

[0002] The energy efficiency bill in the online State Grid APP is centered on "power supply and energy efficiency service", covers all users, classifies the electricity demand of different users, and is a universal public service product with energy efficiency analysis, energy efficiency diagnosis and energy efficiency improvement suggestions as the main service functions.

[0003] However, the current energy efficiency bill fails to effectively aggregate resources, which is reflected in the following aspects: no voice broadcast function, unable to provide targeted policies and solutions, and no user interaction portal. The above problems will affect the user experience, and seriously limit the business development efficiency of the power grid company. SUMMARY

[0004] The purpose of the present application is to provide a power supply and energy efficiency service interpretation system and method based on AI artificial intelligence. The present application provides an intelligent interpretation function on the basis of the power supply and energy efficiency service in the online State Grid APP, realizes the intelligentization of customer service, improves the customer service experience, and is more helpful to improve the service efficiency, unify the standard, accumulate service data online, and continuously provide support for customer service decision-making.

[0005] To achieve this purpose, the power supply and energy efficiency service interpretation system based on AI artificial intelligence designed by the present application has the following characteristics: it includes a voice broadcast service module, an energy use suggestion module and a background management module.

[0006] The background management module is used for collecting user demand information.

[0007] The background management module is used for selecting corresponding voice broadcast service and energy use suggestion service according to user demand information.

[0008] When the background management module selects the voice broadcast service, the voice broadcast service module initializes the text-to-speech engine, encodes the power supply and energy efficiency service voice messages to be executed to obtain corresponding audio stream data, and outputs the synthesized voice by the text-to-speech engine.

[0009] When the background management module selects the energy use suggestion service, the energy use suggestion module queries the corresponding case in the power supply and energy efficiency service case database through the energy use recommendation tag, and obtains the http-equiv attribute of the corresponding case information. The energy use suggestion module adds the name value corresponding to the case information to the content header sent to the browser according to the http-equiv attribute, and then jumps to the specified address to realize the energy use suggestion output.

[0010] The beneficial effects of this invention are:

[0011] This invention provides intelligent interpretation application services based on power supply and energy efficiency services. These services include one-click broadcasting, policy promotion, intelligent analysis, and case study presentations. Specifically: relying on the voice broadcasting service for energy efficiency bills, customers can easily monitor their company's energy efficiency and adjust production plans accordingly, continuously providing data support for customer service decisions; intelligently pushing energy efficiency service policies and excellent case studies, accurately guiding target customers to conduct energy efficiency service diagnosis and energy-saving renovations; and establishing a unified and standardized list of potential customer projects based on basic customer profile information, saving on-site service costs and enabling online accumulation of service data.

[0012] This invention helps reduce the burden on grassroots power grid operations, improve quality and efficiency. Based on a large database for intelligent interpretation applications, it can provide professional guidance to staff, improving the conversion rate of business implementation; on the other hand, it can reduce the workload of on-site visits and lower company management costs.

[0013] This invention implements a precise push strategy, providing a dedicated intelligent interpretation and interactive service for energy efficiency bills that is not limited by time, space, or capability. It generates energy efficiency analysis reports anytime, anywhere, intelligently pushes energy efficiency service policies and best practices, and accurately guides target customers to conduct energy efficiency service diagnosis and energy-saving renovation.

[0014] This invention promotes the information management of energy demand, relies on the voice broadcast service of energy efficiency bills to establish a new interactive mode with customers and form a list of potential customer projects, realizes the accumulation of service data online, and ensures the timely transmission of customer needs. Attached Figure Description

[0015] Fig. 1 This is a schematic diagram of the structure of the present invention;

[0016] Fig. 2 This is a schematic diagram of the one-click broadcast page in this invention;

[0017] Fig. 3 This is a schematic diagram of the policy promotion page in this invention;

[0018] Fig. 4 This is a case study page for this invention. Detailed Implementation

[0019] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:

[0020] like Figs. 1-4 The power supply and energy efficiency service interpretation system based on AI is characterized by including a voice broadcast service module, an energy consumption suggestion module, a case recommendation module, and a back-end management module.

[0021] The backend management module is used to collect user demand information. The backend management module uses the d2-admin template for architecture construction. The backend management module renders and processes the data in the js library based on the vue.js application and displays it on the mobile terminal. The vue-router tool is used to set the access path and build the component mapping relationship. The vuex tool is used to centrally store and manage variable properties. The axios network request library is used to establish communication channels between the backend management module and the voice broadcast service module, energy use suggestion module and case recommendation module, so as to update the front-end page data in real time.

[0022] The back-end management module is used to select the corresponding voice broadcast service, energy consumption suggestion service and case recommendation service according to user needs.

[0023] When the backend management module selects the voice broadcast service, the voice broadcast service module initializes the text-to-speech engine (TTS engine), encodes the power supply and energy efficiency service voice messages to be executed to obtain the corresponding audio stream data, and outputs the speech synthesis by the text-to-speech engine to play the energy efficiency bill content in speech form.

[0024] When the backend management module selects the energy consumption suggestion service, the energy consumption suggestion module queries the corresponding case in the power supply and energy efficiency service case database through the energy consumption recommendation tag (Meta tag), and obtains the http-equiv attribute of the corresponding case information. The energy consumption suggestion module adds the name value corresponding to the case information to the content header sent to the browser according to the http-equiv attribute, and then jumps to the specified address to realize the output of energy consumption suggestions, providing enterprises with targeted guidance for improving energy consumption.

[0025] When the case recommendation service is selected in the backend management module, the case recommendation module uses a tab + list + tag system to filter the release time, associated region, case title and case type of power supply and energy efficiency service case data. The filtered data is output in a structured way in a visual manner, and energy efficiency service policies and excellent cases are intelligently pushed to users to accurately guide target customers to carry out energy efficiency service diagnosis and energy-saving renovation.

[0026] In the above technical solution, the voice broadcast service module, while outputting voice information, establishes an index, generates a progress bar, and saves it to the current storage space, which can realize the fast playback function. When it is determined that the application no longer needs the TTS-related functions, the resources occupied by the current TTS entity can be released.

[0027] The above technical solution also includes a text location service module, which uses a text detection network to follow the voice information output by the voice broadcast service module.

[0028] In the above technical solution, the original text location service module first uses the maximum stable region extreme value detection method to extract text region features. Then, it uses the extracted text region features to filter out the text library through a classifier. Subsequently, a sliding window is added to find missing text, thereby obtaining location information. Based on the location information, the text detection network is used to follow the voice information output by the voice broadcast service module, which can realize the highlighted display of the broadcast content.

[0029] The above technical solution also includes a policy push module. The policy push module is used to filter the publication time, associated region, policy title and policy type of uploaded policy data through a tab + list + tag system, and display relevant power industry policies to users according to the filtering results. Several policy data will be displayed on one page, and more policies can be scrolled down.

[0030] In the above technical solution, the policy push module obtains more policy data through asynchronous JavaScript and XML data interaction. Through the list details, users can see policy-related text, images, statistical tables, and attachments. When the "Next" button at the bottom of the details is clicked, the policy push module queries the database for all policy data sets matching the current filter criteria via an AJAX request. The policy push module obtains more data via AJAX requests. Furthermore, an interactive entry point is provided for customers to submit business requirements. Mobile data is collected, converted, and processed into a unified data format for the backend. Incremental data logs are obtained in real time by reading RDBMS incremental logs to record incremental changes in the database, and full data retrieval is supported. Secondly, a data scraping tool is used to obtain policy data in real time, and the policy data is output in a structured and visual manner to provide users with relevant power industry policies.

[0031] In the above technical solution, the energy consumption suggestion module also includes a demand filling service. This service provides customers with a data entry point for filling in demand business. When customers submit demand business through this data entry point, the filled content is stored in the storage object localstorage as a draft. The next time they enter the form from the same entry point, the content will be automatically filled in.

[0032] In the above technical solution, the voice broadcast service module encodes the voice message queue to be executed using the base64 algorithm to obtain the corresponding audio stream data, which is then synthesized and output by the text-to-speech engine.

[0033] A method for interpreting power supply and energy efficiency services based on AI includes the following steps:

[0034] Step 1: The backend management module collects user request information;

[0035] Step 2: The backend management module selects the corresponding voice broadcast service, energy consumption suggestion service, and case recommendation service based on the user's needs.

[0036] Step 3: When the background management module selects the voice broadcast service, the voice broadcast service module initializes the text-to-speech engine, encodes the power supply and energy efficiency service voice messages to be executed to obtain the corresponding audio stream data, and then the text-to-speech engine performs speech synthesis and output.

[0037] When the backend management module selects the energy consumption suggestion service, the energy consumption suggestion module queries the corresponding case in the power supply and energy efficiency service case database through the energy consumption recommendation tag, and obtains the http-equiv attribute of the corresponding case information. The energy consumption suggestion module adds the name value corresponding to the case information to the content header sent to the browser according to the http-equiv attribute, and then jumps to the specified address to realize the output of energy consumption suggestions.

[0038] When the case recommendation service is selected in the backend management module, the case recommendation module uses a tab + list + tag system to filter the power supply and energy efficiency service case data by publication time, associated region, case title, and case type, and outputs the filtered data in a structured way in a visual manner.

[0039] A computer-readable storage medium storing a computer program, characterized in that: when the computer program is executed by a processor, it implements the steps of the method described above.

[0040] The contents not described in detail in this specification are existing technologies known to those skilled in the art.

Claims

1. A power supply and energy efficiency service interpretation system based on AI, characterized in that: It includes a voice broadcast service module, an energy consumption suggestion module, and a back-end management module; The backend management module is used to collect user demand information; The back-end management module is used to select the corresponding voice broadcast service and energy consumption suggestion service based on user needs. When the backend management module selects the voice broadcast service, the voice broadcast service module initializes the text-to-speech engine, encodes the power supply and energy efficiency service voice messages to be executed to obtain the corresponding audio stream data, and then the text-to-speech engine performs speech synthesis and output. When the backend management module selects the energy consumption suggestion service, the energy consumption suggestion module queries the corresponding case in the power supply and energy efficiency service case database through the energy consumption recommendation tag, and obtains the http-equiv attribute of the corresponding case information. The energy consumption suggestion module adds the name value corresponding to the case information to the content header sent to the browser according to the http-equiv attribute, and then redirects to the specified address to realize the output of energy consumption suggestions.

2. The AI-based power supply and energy efficiency service interpretation system according to claim 1, characterized in that: While outputting voice information, the voice broadcasting service module creates an index, generates a progress bar, and saves it to the current storage space. Once it is determined that the application no longer needs the text-to-speech engine's related functions, the resources occupied by the current text-to-speech engine entity can be released.

3. The AI-based power supply and energy efficiency service interpretation system according to claim 1, characterized in that: It also includes a text location service module, which uses a text detection network to follow the voice information output by the voice broadcast service module.

4. The AI-based power supply and energy efficiency service interpretation system according to claim 3, characterized in that: The original text location service module first uses the maximum stable region extreme value detection method to extract text region features. Then, it uses the extracted text region features to filter out the text library through a classifier. Subsequently, a sliding window is added to find missing text, thereby obtaining location information. Based on the location information, the text detection network follows the voice information output by the voice broadcast service module.

5. The AI-based power supply and energy efficiency service interpretation system according to claim 1, characterized in that: It also includes a policy push module, which is used to filter the publication time, associated region, policy title and policy type of uploaded policy data through a tab + list + tag system, and display relevant power industry policies to users based on the filtering results.

6. The AI-based power supply and energy efficiency service interpretation system according to claim 5, characterized in that: The policy push module uses asynchronous JavaScript and XML data interaction to obtain more policy data; through the list details, users can see policy-related text, images, statistical tables, and attachments; through AJAX requests, the policy push module will query the database for a set of policy data that matches the current filter criteria.

7. The AI-based power supply and energy efficiency service interpretation system according to claim 1, characterized in that: The energy consumption suggestion module also includes a demand reporting service, which provides customers with a data entry point for reporting their needs. When customers submit their needs through this data entry point, the entered content is stored in the localstorage storage object as a draft.

8. The AI-based power supply and energy efficiency service interpretation system according to claim 1, characterized in that: The voice broadcast service module encodes the voice messages to be executed into a queue using the base64 algorithm to obtain the corresponding audio stream data, which is then synthesized and output by the text-to-speech engine.

9. A method for interpreting power supply and energy efficiency services based on AI, characterized in that, It includes the following steps: Step 1: The backend management module collects user request information; Step 2: The backend management module selects the corresponding voice broadcast service and energy consumption suggestion service based on the user's needs. Step 3: When the background management module selects the voice broadcast service, the voice broadcast service module initializes the text-to-speech engine, encodes the power supply and energy efficiency service voice messages to be executed to obtain the corresponding audio stream data, and then the text-to-speech engine performs speech synthesis and output. When the backend management module selects the energy consumption suggestion service, the energy consumption suggestion module queries the corresponding case in the power supply and energy efficiency service case database through the energy consumption recommendation tag, and obtains the http-equiv attribute of the corresponding case information. The energy consumption suggestion module adds the name value corresponding to the case information to the content header sent to the browser according to the http-equiv attribute, and then redirects to the specified address to realize the output of energy consumption suggestions.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it implements the steps of the method as described in claim 9.

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