Power selling method and power selling platform based on online evaluation and offline service reservation

Abstract

The present application relates to the technical field of power marketing, price estimation or determination of power sales, and particularly relates to a power selling method and platform based on online evaluation and offline service reservation. A user inputs annual power consumption and searches for enterprise name on a mobile terminal, calls corresponding industry average peak-valley time proportion, automatically obtains time-of-use electricity price of a power supply bureau and real-time time-of-use quotation of a power selling company, weightedly calculates comprehensive electricity price difference between the power supply bureau and the power selling company, and obtains annual estimated power saving. The calculation result generates a letter of intent for pushing, and after the user confirms, the offline power selling service is automatically ordered and reserved. When the user uploads a power bill, the system replaces the actual time proportion to recalculate and update the result. The method realizes fast and accurate power saving calculation and environmental protection benefit quantification under the minimum input condition, and builds an automatic closed loop of online estimation, intention locking and offline service ordering, which can significantly reduce the power consumption cost of industrial and commercial users, and improve the efficiency of power selling business and user experience.

Description

Technical Field

[0001] This invention relates to the field of electricity sales technology in commerce, marketing, price estimation or determination, and in particular to an electricity sales method and platform based on online assessment and offline service booking. Background Technology

[0002] After the power system reform, industrial and commercial users can participate in market-based electricity purchases through electricity sales companies. However, existing technologies are mostly focused on the internal calculation and adjustment of electricity prices by electricity sales companies or the power grid. For example, the patent application document CN106469379A, entitled "A Power Grid Electricity Sales Price Calculation System and Calculation Method Thereof," sets up a target electricity quantity calculation subunit, a total electricity price calculation subunit, and a peak-valley electricity price calculation subunit. It mainly solves the problems of systematization and internal parameter adjustment in electricity sales price calculation, and belongs to the information-based calculation tool within the electricity sales company / power grid.

[0003] The proposed solution in this paper has the following shortcomings:

[0004] The entry point is not on the user's side, and it mostly involves internal calculations by the electricity sales company, making it difficult for ordinary users to operate directly.

[0005] The data requirements are high, requiring complete time-of-use electricity data or detailed load information, making it impossible to provide a quick estimation result.

[0006] The process is fragmented, lacking an automatic connection mechanism from online estimation to offline contract signing, still requiring manual communication and confirmation, resulting in low efficiency.

[0007] In short, existing technologies do not address scenarios where end-users can access electricity discounts on their mobile devices, nor do they establish a closed-loop process for enterprise electricity sales services. Users lack convenient and rapid online estimation and service integration tools.

[0008] Therefore, there is an urgent need to design a power sales service method and platform that can solve one or more of the above problems. Summary of the Invention

[0009] The purpose of this invention is to provide a method and platform for electricity sales based on online assessment and offline service reservation, addressing the shortcomings of existing technologies. It aims to provide users with a rough estimate of electricity price discounts online, even when only the user's annual electricity consumption is known and the actual time-of-use electricity ratio cannot be obtained immediately. Based on this, it automatically generates an electricity sales discount intention form containing user information and pushes it for confirmation, thereby driving data storage and offline electricity sales service order dispatch, realizing an automated closed loop from online assessment to offline service reservation.

[0010] This invention achieves the above objective through the following technical solution: a method for selling electricity based on online assessment and offline service reservation, comprising:

[0011] Electricity consumption data collection steps: Receive the user's annual electricity consumption input on the mobile device;

[0012] Name collection steps: Receive the company name entered by the user on the mobile device, call the backend Qichacha interface, and retrieve company information that matches the company name;

[0013] Time-of-use ratio estimation steps: When the user does not provide the time-of-use ratios for peak, normal, and valley hours, the preset industry average time-of-use ratio that matches the enterprise information is used as the time-of-use reference ratio.

[0014] Electricity price acquisition steps: Obtain the corresponding peak, normal, and valley hour electricity prices from the power supply bureau and the corresponding peak, normal, and valley hour electricity prices from the electricity sales company;

[0015] Discount estimation steps: Based on the obtained annual electricity consumption, time-of-use electricity reference ratio, electricity price of the power supply bureau for the corresponding time period, and electricity price of the electricity sales company for the corresponding time period, the electricity prices for each time period are weighted to obtain the rough comprehensive electricity price calculated by the power supply bureau and the rough comprehensive electricity price calculated by the electricity sales company. The difference between the two rough comprehensive electricity prices is then used to calculate the user's estimated annual electricity cost savings; (price estimation or determination, market modeling, market analysis)

[0016] Environmental conversion steps: Calculate the annual reduction in carbon dioxide emissions based on the annual electricity consumption and the preset carbon emission coefficient per unit of electricity, and convert it into the equivalent number of trees planted based on the annual carbon sequestration parameter of a single tree.

[0017] Data supplement prompt steps: Receive the user's uploaded electricity bill or authorized access to historical time-of-use electricity data;

[0018] The discount calculation steps are as follows: After receiving the user's uploaded electricity bill and / or authorized access to historical time-of-use electricity data, the user's actual time-of-use electricity ratio is parsed and replaced with the time-of-use electricity reference ratio. The comprehensive electricity price of the power supply bureau and the comprehensive electricity price of the electricity sales company are recalculated, and the annual estimated electricity savings and / or the corresponding carbon dioxide emissions and / or the equivalent number of trees planted are updated.

[0019] The process of sending out the letter of intent is as follows: Based on the rough calculation of the comprehensive electricity price, the estimated annual electricity cost savings and carbon dioxide emission reduction, an electronic letter of intent for electricity sales discounts containing user identity information is automatically generated and sent to the mobile device for user confirmation.

[0020] Order dispatching steps: After detecting that the user has confirmed the letter of intent, the annual electricity consumption, the rough calculation of the comprehensive electricity price, the estimated electricity cost savings and user information are written into the database, and the electricity sales service dispatching process is triggered to schedule offline electricity sales services (commercial, marketing).

[0021] As a further aspect of the present invention: the data supplementation prompt step is as follows: after the results of the discount estimation step are displayed, a prompt is sent to the user to guide the user to upload the electricity bill or authorize the acquisition of historical time-of-use electricity data; when the data is received, the discount actuarial step is entered to replace the time-of-use electricity reference ratio, and the annual estimated electricity cost savings and / or the corresponding carbon dioxide emissions and / or the equivalent number of trees planted are updated.

[0022] In the preferential calculation step, the step of receiving the user's uploaded electricity bill and parsing it to obtain the user's actual time-of-use electricity ratio includes: performing optical character recognition processing on the user's uploaded electricity bill to extract peak, normal, and valley electricity consumption, and using the extraction results as the actual time-of-use electricity ratio;

[0023] In the preferential calculation step, the authorized acquisition of historical time-of-use electricity data and the parsing of the user's actual time-of-use electricity ratio include: pulling historical time-of-use electricity curves through the data interface provided by the power grid company or electricity sales company, extracting the curves, and using the extraction results as the actual time-of-use electricity ratio; thus, it is beneficial to make monthly automatic reports and continuously optimize strategies, and it is convenient to automatically update the time-of-use ratio every month without requiring the user to upload bills each time (data copying, distribution or synchronization between databases or within a distributed database system).

[0024] As a further aspect of the present invention: in the preferential calculation step, when the user's actual time-of-use electricity data cannot be obtained, the system automatically selects the time-of-use electricity ratio in the preferential calculation step according to the priority strategy of prioritizing the industry average time-of-use ratio and then the platform default time-of-use ratio.

[0025] If the electricity price for a certain period is missing, the compensation calculation will be based on the pre-stored monthly average price or the nearest valid price.

[0026] The carbon emission coefficient per unit of electricity and the annual carbon sequestration per tree parameters used in the environmental conversion steps can be configured by the administrator in the background and updated periodically.

[0027] In the letter of intent delivery step, the electronic electricity sales discount letter of intent is accompanied by a server timestamp and hash verification value to verify the integrity of the letter of intent content;

[0028] During the letter of intent delivery process, before the user confirms the letter of intent, the mobile app provides an information verification interface, allowing the user to modify the company information, contact person, and appointment time before confirming.

[0029] During the order dispatching process, the system writes the user confirmation time, confirmation IP address, and confirmation device identifier into the database for auditing purposes. The electricity sales service order dispatching process includes sending orders to users and electricity sales consultants via at least one of the following methods: SMS, in-site message, or email. When storing sensitive user information in the database, field-level desensitization rules are used, and user passwords are stored using an asymmetric encryption algorithm.

[0030] As a further aspect of the present invention: after the letter of intent submission step, the following is also included:

[0031] Project management steps: Internal users of the electricity sales company register potential customer information, record project progress, and prevent duplicate follow-ups through the project management interface; customer registration is verified using the enterprise's unified social credit code or unique enterprise identifier for deduplication.

[0032] Price management steps: Administrators can view electricity price curves for different industries or user types in the backend using a graph format, and can adjust price parameters online and synchronize the changes to mobile devices; each price parameter adjustment automatically generates a version number and modification log for subsequent auditing and backtracking; (Inventory or inventory management, such as order entry, procurement, or order balancing)

[0033] During API calls, request headers containing timestamps and tokens, combined with hash verification, are used to prevent replay attacks and data tampering. (Resource, workflow, human resources, or project management; enterprise or organizational planning; enterprise or organizational modeling)

[0034] An electricity sales platform, comprising:

[0035] Electricity consumption data acquisition module: used to receive annual electricity consumption data input by the user on the mobile device;

[0036] Name collection module: Used to receive the company name entered by the user on the mobile device, call the backend Qichacha interface, and retrieve company information that matches the company name;

[0037] Time-of-use ratio estimation module: When the user does not provide the time-of-use ratio for peak, normal, and valley hours, it calls the preset industry average time-of-use ratio that matches the enterprise information as the time-of-use ratio reference ratio.

[0038] Electricity price acquisition module: used to obtain the corresponding peak, normal, and valley time electricity prices from the power supply bureau and the corresponding peak, normal, and valley time electricity prices from the power sales company;

[0039] The discount estimation module is used to calculate the estimated annual electricity savings for users based on the annual electricity consumption, the reference ratio of time-of-use electricity consumption, the electricity price of the power supply bureau for the corresponding time period, and the electricity price of the electricity sales company for the corresponding time period.

[0040] Environmental conversion module: used to calculate the annual reduction in carbon dioxide emissions based on the annual electricity consumption and the preset carbon emission coefficient per unit of electricity, and to convert it into the equivalent number of trees planted based on the annual carbon sequestration parameter of a single tree.

[0041] Data supplement prompt module: used to receive electricity bills uploaded by users or authorized access to historical time-of-use electricity data;

[0042] The discount calculation module is used to parse the user's actual time-of-use electricity ratio after receiving the user's uploaded electricity bill and / or authorized access to historical time-of-use electricity data, replace the time-of-use electricity reference ratio, recalculate the comprehensive electricity price of the power supply bureau and the comprehensive electricity price of the electricity sales company, and update the annual estimated electricity cost savings and / or the corresponding carbon dioxide emissions and / or the equivalent number of trees planted.

[0043] Letter of Intent Push Module: This module is used to automatically generate an electronic letter of intent for electricity sales discounts containing user identity information based on a rough calculation of the comprehensive electricity price, the estimated annual electricity cost savings, and carbon dioxide emission reductions, and push the letter of intent to the mobile terminal for user confirmation.

[0044] Project Management Module: This module allows internal users of the electricity sales company to register potential customer information, record project progress, and prevent duplicate follow-ups through the project management interface. Customer registration is verified using the enterprise's unified social credit code or unique enterprise identifier for deduplication.

[0045] The order dispatch module is used to write annual electricity consumption, rough comprehensive electricity price, estimated electricity cost savings and user information into the database after detecting that the user has confirmed the letter of intent, and to trigger the electricity sales service dispatch process to schedule offline electricity sales services.

[0046] Price Management Module: This module allows administrators to view electricity price curves for different industries or user types in the background using graphs. They can also adjust price parameters online and synchronize the changes to mobile devices. Each price parameter adjustment automatically generates a version number and modification log for subsequent auditing and backtracking.

[0047] An electronic device includes: one or more processors; a memory for storing executable instructions; wherein the one or more processors are configured to invoke the executable instructions stored in the memory to perform the method described in any of the preceding descriptions.

[0048] A computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the method described in any of the preceding descriptions.

[0049] The beneficial effects of this invention are:

[0050] First, the annual electricity consumption is used as input, and then the preset industry time-of-use ratio and multi-time period electricity price are used for weighted calculation. This allows for the quick calculation of the overall electricity price and the annual estimated electricity cost savings without the need for real time-of-use data, thus reducing the user's usage threshold.

[0051] Based on the preliminary calculation results, an electronic electricity sales discount intention form is automatically generated and pushed. After the user confirms online, the information is immediately stored in the database and the order dispatch process is triggered, forming an integrated closed loop of online evaluation, intention confirmation and offline appointment, which improves transaction efficiency and service response speed.

[0052] By employing the aforementioned process-oriented technical methods, the shortcomings of existing technologies, such as the lack of user-side entry points, high data requirements, and fragmented processes, are overcome. This enables users to obtain timely and reliable preferential assessments and smoothly connect with offline services with minimal information input, thereby achieving the technical effect of cost reduction and efficiency improvement. Attached Figure Description

[0053] Figure 1 This is a flowchart of the process steps of the present invention.

[0054] Figure 2 This is a schematic diagram of an operation page of the electricity sales platform of the present invention.

[0055] Figure 3 This is a schematic diagram of another operation page of the electricity sales platform of the present invention.

[0056] Figure 4 This is a schematic diagram of another operation page of the electricity sales platform of the present invention.

[0057] Figure 5 This is a schematic diagram of the fourth type of operation page of the electricity sales platform of the present invention.

[0058] Figure 6 This is a schematic diagram of the fifth type of operation page of the electricity sales platform of the present invention.

[0059] Figure 7 This is a schematic diagram of the sixth type of operation page of the electricity sales platform of the present invention.

[0060] Figure 8 This is a schematic diagram of the operation of the method of the present invention.

[0061] Figure 9 This is a schematic diagram of the seventh type of operation page of the electricity sales platform of the present invention.

[0062] Figure 10 This is a schematic diagram of the eighth type of operation page of the electricity sales platform of the present invention.

[0063] Figure 11 This is a schematic diagram of the ninth type of operation page of the electricity sales platform of the present invention.

[0064] Figure 12This is a schematic diagram of the tenth type of operation page of the electricity sales platform of the present invention.

[0065] Figure 13 This is a schematic diagram of the eleventh type of operation page of the electricity sales platform of the present invention.

[0066] Figure 14 This is a schematic diagram of the twelfth type of operation page of the electricity sales platform of the present invention. Detailed Implementation

[0067] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. It is understood that the accompanying drawings are provided for reference and illustration only, and are not intended to limit the present invention. The connection relationships shown in the accompanying drawings are only for clear description and do not limit the connection method.

[0068] In related technologies, with the country's development, electricity consumption in various sectors has increased year by year. Since the release of Document No. 9 on electricity reform on March 15, 2015, the curtain has officially been raised on my country's power system reform. Electricity trading has gradually shifted from traditional power supply bureaus to electricity sales companies, which directly connect with power plants. However, many industrial and commercial electricity users only know that they can purchase electricity through the power supply bureau and are unaware that purchasing electricity through electricity sales companies is more cost-effective. According to data released by the Guangdong Provincial Market Supervision Administration, in the first quarter of 2025, there were 9.162 million enterprise users and 11.0732 million individual businesses in Guangdong Province. Data released by the trading center shows that only over 100,000 enterprises participate in market transactions through electricity sales companies. Many enterprises still do not know what electricity sales companies do. With the advancement of power reform, the state encourages enterprises to obtain preferential electricity prices through electricity sales companies in a more professional way, and the market urgently needs popularization of electricity sales-related tools. This solution allows for offline door-to-door electricity sales service appointments to be completed in as little as 3 minutes via WeChat mini-program, enabling more electricity sales companies to use cheaper electricity, save more on electricity bills, empower businesses in electricity use and environmental protection and carbon reduction, thereby achieving the goal of cost reduction and efficiency improvement.

[0069] Therefore, this invention addresses the issue of saving electricity costs and increasing efficiency for industrial and commercial electricity users through the mobile internet. Based on WeChat mini-programs, it achieves the technical effects of online access to real-time electricity price discounts, online appointment for offline door-to-door electricity sales services, and value-added services such as user electricity consumption analysis.

[0070] like Figures 1-14As shown, this embodiment of the invention provides a method for selling electricity based on online assessment and offline service reservation, including: electricity consumption collection step, name collection step, time-of-use ratio estimation step, discount estimation step, environmental protection conversion step, data supplementation prompt step, discount calculation step, letter of intent push step, and order placement step.

[0071] In short, in the traditional electricity sales process, industrial and commercial users typically do not know how to quickly assess the electricity cost savings they can achieve by purchasing electricity from a sales company, nor do they understand rules such as time-of-use pricing, fixed and linked electricity allowances, and they are unable to complete discount calculations without knowing the peak, flat, and off-peak electricity consumption ratios. Furthermore, even if a rough calculation result is obtained, there is a lack of automated means to directly translate online assessment results into offline on-site services, still requiring a large amount of manual communication, which is inefficient and prone to errors. Therefore, this solution focuses on solving the following core technical problems:

[0072] 1. Rapid estimation problem under minimal input conditions: How to complete the preferential estimation without interruption when users can only provide "annual electricity consumption" and "company name" and lack time-of-use electricity ratio and detailed electricity price information.

[0073] 2. Issue of gradually improving estimation accuracy: When users subsequently supplement electricity bills or authorize historical electricity usage data, how can the reference time-of-use ratio be automatically replaced without interrupting the process, thus completing the upgrade from rough estimation to precise calculation?

[0074] 3. The issue of connecting online estimation results with offline services: How to automatically solidify the estimated electricity cost savings into a business-meaning electronic electricity sales discount intention form, and immediately trigger data entry and electricity sales service order dispatch after user confirmation, thereby opening up a closed-loop process between online assessment and offline execution.

[0075] 4. Difficulty in quantifying and demonstrating environmental value: Enterprises lack an intuitive understanding of energy conservation and emission reduction data. How can the conversion and display of carbon emission reduction and equivalent tree planting be completed simultaneously in the same process to improve environmental awareness and corporate social responsibility?

[0076] The present invention forms a coherent process through the aforementioned defined steps, and provides technical means to address the above-mentioned technical problems one by one, producing corresponding technical effects:

[0077] The electricity consumption data collection process ensures that the calculation process can be started using only the low-threshold data of annual electricity consumption, which significantly reduces the barrier to user participation and enables the system to operate even when information is insufficient.

[0078] The name collection process combines third-party enterprise information interfaces to automatically retrieve and match enterprise information, avoiding users manually entering lengthy enterprise data, reducing input errors and improving data credibility, while also providing a basis for subsequent matching of industry average time-sharing ratios.

[0079] The time-of-use ratio estimation step addresses the reality that users cannot provide their time-of-use electricity ratios by using industry averages that match the company's information as a reference. This ensures that the discount estimation is not interrupted due to data gaps, achieving process continuity and availability.

[0080] The electricity price acquisition process automatically synchronizes electricity prices from the power supply bureau and the electricity sales company for each time period from the back end, ensuring the timeliness and consistency of the basic data for price comparison and reducing the cost of manual querying and updating.

[0081] The preferential estimation step (rough calculation) multiplies the annual electricity consumption by the reference time-of-use ratio and weights the electricity price for each time period to quickly obtain the difference between the power supply bureau's rough comprehensive electricity price and the electricity sales company's rough comprehensive electricity price. This immediately presents users with a perceptible annual estimated electricity cost saving, thereby stimulating users' participation and decision-making willingness in the shortest possible time.

[0082] The environmental conversion process, while outputting the preferential amount, also calculates the corresponding reduction in carbon dioxide emissions and the equivalent number of trees planted, using simple and intuitive indicators to demonstrate the energy-saving effect and enhance enterprises' understanding and ability to showcase environmental benefits.

[0083] The data supplementation prompts users to upload electricity bills or authorize historical time-of-use data after the preliminary calculation results are displayed. This forms a top-down data refinement strategy, guiding users to improve their data in an orderly manner without making complex requests at the beginning of the process.

[0084] The preferential calculation process automatically replaces the reference ratio and recalculates the comprehensive electricity price and savings after obtaining the actual time-of-use ratio, achieving a smooth upgrade from rough estimation to precise calculation, improving the accuracy of the results, and reducing later disputes.

[0085] The letter of intent push process involves writing the calculation results and user identity information into a standardized electronic electricity sales discount letter of intent, pushing it online and waiting for confirmation, thus automatically linking the estimation results with legal / business actions and shortening the communication chain.

[0086] The order placement process automatically writes data to the database and triggers the order placement process after confirmation. This automated process completes the task distribution from online assessment to offline on-site service, forming a closed business loop and significantly improving transaction efficiency and service response speed.

[0087] In summary, this invention constructs a complete technical chain of "minimum input - rough estimation - data supplementation - precise calculation - intention confirmation - order execution" by linking the above steps. This ensures both the continuity and practicality of the process, and improves the accuracy of calculations by gradually refining the data, thus effectively solving the technical problem.

[0088] The implementation of each step is described below using a typical embodiment. This embodiment is only used to illustrate the principles and process of the present invention and can be adjusted and expanded according to actual business needs.

[0089] Implementation of electricity consumption data collection steps: After logging in via WeChat mini-program, users enter the "I Want to Purchase Electricity" page, where they can set up an input box for their annual electricity consumption. The front-end validates the input format (only numbers and limited ranges are allowed), and once the validation is successful, the value is sent as a parameter to the back-end interface.

[0090] Name collection process: A company name input box is provided on the same page. Users enter keywords to trigger a search request. The backend calls enterprise information interfaces such as Qichacha to retrieve company data by name or unified social credit code, and returns information such as name, credit code, and industry for user selection and confirmation (or web search). The confirmed company information is cached along with the annual electricity consumption data.

[0091] The implementation of the time-sharing ratio estimation step: The backend selects the corresponding peak, flat, and valley time-sharing reference ratios (e.g., 40%, 30%, 30%) from a pre-set industry time-sharing ratio library based on the enterprise's industry classification (e.g., manufacturing, service, 24-hour continuous production enterprises, etc.). If the enterprise type is unknown, the platform's default ratio is used. This ratio is used as reference data in the calculation until the user provides actual time-sharing data.

[0092] Implementation of electricity price acquisition steps: A synchronization mechanism between the backend maintenance and the power supply bureau's catalog prices and the real-time price quotations from electricity sales companies (can be timed data capture or called in real-time via API). When the API is called, a list of unit prices for peak, flat, and valley periods is returned. All price data is stored in a price table, with timestamps and version numbers recorded for easy traceability.

[0093] The implementation of the preferential estimation step (rough calculation): After receiving the annual electricity consumption, reference time-of-use ratio, and electricity prices for each time period, the backend calculates the rough comprehensive electricity price calculated by the power supply bureau and the rough comprehensive electricity price calculated by the electricity sales company according to the preset weighted logic. The difference is then used to derive the estimated annual electricity cost savings, achieving preliminary fuzzy reasoning and estimation. The result is returned to the frontend in JSON format, which displays it on the page in numerical and graphical form.

[0094] Implementation of the environmental conversion process: After obtaining the annual electricity consumption, the backend reads the preset carbon emission coefficient per unit of electricity (e.g., 0.997 kg / kWh) and the annual carbon sequestration parameter per tree (e.g., 40 kg / tree), calculates the annual emission reduction and the equivalent number of trees planted, and returns the results to the frontend for display. The parameters can be dynamically updated on the backend configuration page.

[0095] Implementation of data supplementation prompts: A prompt box pops up on the preliminary calculation results page, explaining that users can upload a photo of their latest electricity bill or authorize the system to read their historical time-of-use electricity data on the China Southern Power Grid / State Grid platform. After the user clicks the "Upload" button, the front end calls the OCR recognition service to parse the peak, flat, and valley electricity consumption fields in the electricity bill; or redirects to the authorization page to obtain access permissions to the historical time-of-use curve data interface.

[0096] Implementation of the preferential actuarial calculation process: After successfully parsing the actual time-of-use electricity ratio or obtaining the time-of-use curve from the interface, the backend replaces the reference ratio with the actual ratio, re-executes the calculations related to the comprehensive electricity price and savings, and updates the environmental data. The frontend page displays the new actuarial results with a "Refresh Results" button or automatic refresh, and prompts the user to confirm whether to use the results to generate a letter of intent.

[0097] The process of sending out the letter of intent is as follows: The backend generates an electronic letter of intent for electricity sales discounts (in PDF or structured HTML format) based on the current actuarial or preliminary calculation results, user identity information, and company information, and includes a server timestamp and verification code. The frontend displays the letter of intent content and provides "Confirm" and "Modify Information" buttons. Clicking "Confirm" triggers the next step.

[0098] The process of assigning orders to the database involves the backend system writing key information such as annual electricity consumption, comprehensive electricity price, electricity savings, environmental data, and user identity into the corresponding database tables (reservation table, letter of intent table, etc.) after receiving the confirmation instruction, generating a unique order number. The system then sends the order information to the electricity sales consultant or offline service team via SMS or internal message queue, and displays the user's reservation status and subsequent actions on the project management page of the management terminal.

[0099] Through the above implementation methods, the present invention realizes a complete execution chain from minimal data input, rapid rough estimation, data refinement, result solidification to automatic order dispatch, which not only meets users' requirements for convenience and accuracy, but also provides electricity sales companies with an efficient business processing flow.

[0100] In detail:

[0101] Client identifiers can be defined using methods such as mobile phone verification codes or WeChat authorization. Users can search for the "X Electricity Sales Company" mini-program on WeChat (e.g., ...). Figure 9 As shown), click to enter the mini-program. On the "I want to buy electricity" page, search for your company. The backend Qichacha interface is called. The backend receives the search command from the mini-program, retrieves relevant company information, and returns it to the mini-program. Then, fill in your estimated annual electricity consumption (e.g., ...). Figure 2 (As shown).

[0102] Clicking "Calculate Discounts" will call the backend API to retrieve data from the database, displaying our previous partner companies and power plants, as well as historical cumulative data calculated through backend algorithms (such as...). Figure 3 (As shown)

[0103] Click to get the discount, submit your annual electricity consumption to the backend. The backend receives the annual electricity consumption, calls the backend discount calculation algorithm and carbon reduction and tree planting conversion, and instantly calculates the estimated annual electricity cost savings, carbon dioxide emission reduction, and the equivalent number of trees planted. Users can clearly see the corresponding calculation data (e.g., Figure 4 (As shown).

[0104] The discount is locked in, and a "Letter of Intent for Electricity Discount" is generated instantly based on the real-time quotes obtained by the user from the electricity sales company. After carefully reading the letter of intent, the user confirms the information and then reconfirms their intention to purchase electricity (e.g., ...). Figure 5 (As shown).

[0105] Users should carefully verify the company's electricity usage information and review and prepare sample business licenses and electricity bills later (e.g.) Figure 10 As shown in the image, fill in the corresponding contact person, phone number, and appointment time (to ensure timely confirmation of intent and on-site service), click submit, and the data will be submitted to the backend interface. The interface will retrieve the data, store it in the database, and use Alibaba Cloud SMS service to send a successful appointment SMS to the user's mobile phone (e.g., ...). Figure 6 , 7 (As shown).

[0106] In the user's profile, clicking on "Appointment Record" invokes the backend appointment information query API. The backend receives the command and retrieves the corresponding information. Users can also cancel appointments on the record page (e.g., ...). Figure 11 (See diagram) (See process) Figure 8 ).

[0107] One month after signing up for electricity service, you can click on the electricity usage report on your personal center page to view your electricity purchase package, average weighted average price of bare electricity, Southern Power Grid's peer-to-peer price, this month's electricity consumption, peak and off-peak electricity consumption, actual electricity bill paid, Southern Power Grid's peer-to-peer electricity purchase fee, this month's electricity savings, year-on-year comparison, month-on-month comparison, year-on-year comparison, monthly electricity consumption distribution for this year, and this month's peak and off-peak electricity consumption analysis (e.g., Figure 12 (As shown).

[0108] Sales managers, city partners, and project partners can register projects, fill in pre-filled customer information, and track project progress until signing a contract on their personal center page and project management page. This prevents multiple people from simultaneously following up on the same customer and also allows for effective management and recording of project information (such as...). Figure 13 (As shown).

[0109] Administrators can easily adjust prices within the mini-program. Different price curves are clearly displayed on the mini-program, allowing administrators to easily see the current prices for each curve at any time – it's extremely convenient. Figure 14 (As shown).

[0110] Discount Calculation Algorithm: A comprehensive discount calculation algorithm is formed by aggregating the peak-valley electricity price ratio stipulated by the Southern Power Grid, the peak-valley electricity volume ratio of electricity retailers, the fixed and linked electricity volume ratios stipulated by the Guangdong Provincial Power Trading Market, and the real-time electricity price and monthly average linked price of electricity retailers. This algorithm, combined with the user's provided annual electricity consumption, calculates the user's total annual electricity savings and estimated annual electricity cost savings. Example:

[0111] Electricity price of power supply bureau (such as China Southern Power Grid) = 100,000 * peak-shaving-valley-peak period electricity consumption ratio * peak-shaving-valley-peak period electricity price ratio + 100,000 * peak-shaving-valley-shaving period electricity consumption ratio * peak-shaving-valley-shaving period electricity price ratio + 100,000 * peak-shaving-valley-valley period electricity consumption ratio * peak-shaving-valley-valley period electricity price ratio;

[0112] Electricity sales company's peak-period electricity price = peak-off-valley-peak-period electricity price ratio * electricity sales company's quoted price;

[0113] Electricity sales company's off-peak electricity price = Peak-off-valley off-peak electricity price ratio * Electricity sales company's quoted price;

[0114] Off-peak electricity price from electricity retailers = Peak-Shaving-Off-Peak-Off-Peak electricity price ratio * Electricity retailer's quoted price;

[0115] The electricity price for a fixed electricity volume by an electricity sales company = (electricity sales company's quoted price * electricity sales company's peak-period electricity price * peak-to-valley-peak-period electricity ratio + electricity sales company's quoted price * electricity sales company's flat-period electricity price * peak-to-valley-flat-period electricity ratio + electricity sales company's quoted price * electricity sales company's off-period electricity price * peak-to-valley-off-period electricity ratio * 10000);

[0116] Electricity sales company's linked electricity volume = 100,000 * linked electricity volume coefficient; Electricity sales company's linked electricity volume price = Electricity sales company's linked electricity volume * Electricity sales company's monthly average linked electricity price * 10,000;

[0117] Total electricity price for the electricity sales company = Fixed electricity price for the electricity sales company + Jointly fixed electricity price for the electricity sales company;

[0118] Annual electricity cost savings (comprehensive discount) = Southern Power Grid electricity price - Total electricity price from electricity sales company;

[0119] Overall discount rate = Annual electricity cost savings (overall discount) / Southern Power Grid electricity price.

[0120] The peak-to-valley-to-peak electricity ratio is an average value we derived from the electricity consumption habits of industry users.

[0121] Carbon reduction and tree planting conversion: According to the recommended values ​​for the whole life cycle emissions of China's power grid, the emissions per kilowatt-hour are 0.997 kg / kW·h. Research by the State Forestry Administration shows that a single tree sequesters approximately 4–18 kg of carbon per year. Power sales companies assess the carbon sequestration of a single tree to be 40 kg per year based on various factors. We can calculate the carbon emission reduction based on the corresponding annual total electricity savings, and then calculate the corresponding number of trees to be planted based on the total emission reduction.

[0122] Data storage and processing mechanism: The backend system uses a MySQL relational database to store user data. Sensitive user data (such as mobile phone numbers, email addresses, ID card information, etc.) is anonymized, and user passwords are encrypted using RSA asymmetric encryption. Business-specific table storage technology is used to store electricity information, discount data, user reservation information, and mini-program constant information, enabling fast data access for processing.

[0123] API calls and data transmission: Data transmission uses HTTP+SSL / TLS to achieve encrypted transmission, authentication, and hash algorithms (such as SHA-256) to ensure data integrity. API verification is completed using the Qichacha API and its corresponding key, secret key, token provided by the electricity sales company, and timestamp. The system then receives the Qichacha callback and converts its response data into JSON.

[0124] The process for generating and confirming a letter of intent for preferential pricing: Electricity sales companies define a template for the "Letter of Intent for Electricity Sales Preferential Pricing" in the backend. The content is formulated according to the standard letter of intent. Users carefully review the letter of intent, click to confirm, and complete the reservation process. The letter of intent then becomes effective. After the reservation is completed, users can check and modify the information in their personal center.

[0125] Household Electricity Report: Based on the customer's monthly electricity consumption, peak and off-peak hourly electricity consumption, historical electricity consumption, electricity purchase packages, Southern Power Grid price and other data analysis, corresponding reports are generated, making monthly electricity cost savings clear at a glance. Customers can also adjust their electricity consumption habits according to their peak and off-peak electricity consumption.

[0126] Project Management: Based on different users (such as sales managers, city partners, project partners, etc.), users can submit their potential clients, save pre-filled information under their own ID, and track project progress and historical client records. It can effectively manage potential and signed clients, making it a great helper for project managers and other users.

[0127] Price Management: Administrators can easily and quickly index the prices of different business formats and modify them anytime, anywhere.

[0128] This invention, combining mobile internet appointment booking with offline door-to-door service, customer electricity consumption analysis reports, electricity sales channel project filing, and company price management, holds significant importance in the electricity sales field (buying, selling, or leasing transactions). This application invention can help reduce electricity costs for a wide range of industrial and commercial electricity users, achieving a win-win result of cost reduction, efficiency improvement, and environmental protection, and timely optimizing electricity costs for industrial and commercial users (resource planning, allocation, distribution, or scheduling for enterprises or organizations).

[0129] In detail:

[0130] The calculation process can be started with minimal input: using only annual electricity consumption as the entry data and automatically obtaining enterprise information through the enterprise name, it solves the technical barrier that users cannot carry out calculations when they lack professional electricity consumption data. This allows the system to run under conditions of minimal information, significantly reducing the threshold for use and improving the accessibility and immediacy of online assessments.

[0131] Default data is intelligently supplemented, and the process is not interrupted: When the user does not provide the peak, flat and valley time-of-use electricity ratio, the system automatically matches the industry average time-of-use ratio based on the industry to which the enterprise belongs, avoiding calculation interruption due to missing key parameters, ensuring the continuity and robustness of the evaluation process, and leaving an interface for subsequent actuarial calculation.

[0132] Multi-source time-of-use pricing is automatically obtained, ensuring the timeliness and consistency of price comparison data: The backend automatically synchronizes the catalog price of the power supply bureau with the time-of-use price of the power sales company, eliminating the uncertainty and lag of manual queries, ensuring that the preferential estimation is based on data of the same time dimension, and the weighted result is more valuable for reference.

[0133] Immediate feedback on rough calculations improves user conversion efficiency: By weighting the electricity price for each time period with reference to the time-of-use ratio, the system quickly obtains the rough comprehensive electricity price calculated by the power supply bureau and the electricity sales company, and directly calculates the estimated annual electricity cost savings, achieving "results in seconds". This effectively attracts users to continue to complete subsequent steps, improving online retention and conversion efficiency.

[0134] Visualizing both economic and environmental benefits: While distributing the preferential amount, the electricity savings are converted into carbon dioxide emission reductions and the equivalent number of trees planted, making the value of energy conservation and emission reduction intuitive, strengthening enterprises' awareness and communication of environmental benefits, and enhancing the social value and policy alignment of the plan.

[0135] Data supplementation triggers actuarial calculations, and the results are accurate and verifiable: After the rough calculation results are displayed, the system proactively prompts users to upload electricity bills or authorize the acquisition of historical time-of-use electricity data. After obtaining the actual time-of-use ratio, the system automatically replaces the reference ratio and recalculates the discount results, achieving a seamless upgrade from rough estimation to actuarial calculation, reducing later disputes and improving the accuracy of the calculation.

[0136] The calculation results are automatically solidified into business documents, and online intentions are efficiently locked in: Based on the calculation results, the system automatically generates an electronic electricity sales discount intention form containing user identity information and pushes it for confirmation, eliminating the need for manual sorting, transmission and confirmation, and allowing the "estimated results" to be directly transformed into an intention locking action with business binding force.

[0137] Once confirmed, the order is automatically placed in the database and dispatched, connecting online assessment with offline execution: After the user confirms the letter of intent, the system automatically writes it into the database and triggers the order dispatch process, forming an automated closed loop from "estimation - confirmation - appointment", which greatly shortens the communication link and improves the response speed and management efficiency of electricity sales services.

[0138] End-to-end data traceability and auditability enhance system credibility: key parameters (electricity price version, time-of-use ratio source, confirmation time, etc.) are all timestamped and stored in the database, ensuring that subsequent audits, reviews, and dispute resolutions are based on evidence, thereby improving the compliance and credibility of system operation.

[0139] In summary, by organically linking the above technical steps, this invention not only solves the problem of rapid discount assessment for users in the absence of time-of-use electricity data, but also automatically transforms the assessment results into offline service execution actions, realizing a dual quantitative display of economic and environmental value, and forming a complete, automated, and traceable closed loop for electricity sales services.

[0140] Finally, it should be noted that any cross-referencing or superposition of the various embodiments of this solution by those skilled in the art still falls within the original disclosure scope of this solution. Furthermore, the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for selling electricity based on online assessment and offline service reservation, characterized in that, include: Electricity consumption data collection steps: Receive the user's annual electricity consumption input on the mobile device; Time-of-use ratio estimation steps: Use the preset industry average time-of-use ratio as the time-of-use electricity reference ratio; Electricity price acquisition steps: Obtain the corresponding peak, normal, and valley hour electricity prices from the power supply bureau and the corresponding peak, normal, and valley hour electricity prices from the electricity sales company; The steps for estimating the discount are as follows: Based on the annual electricity consumption, the reference ratio of time-of-use electricity consumption, the electricity price of the power supply bureau for the corresponding time period, and the electricity price of the electricity sales company for the corresponding time period, the electricity prices for each time period are weighted to obtain the rough comprehensive electricity price calculated by the power supply bureau and the rough comprehensive electricity price calculated by the electricity sales company. The user's estimated annual electricity cost savings are calculated based on the difference between the two rough comprehensive electricity prices. Environmental conversion steps: Calculate the annual reduction in carbon dioxide emissions based on the annual electricity consumption and the preset carbon emission coefficient per unit of electricity, and convert it into the equivalent number of trees planted based on the annual carbon sequestration parameter of a single tree. The process of sending out the letter of intent is as follows: Based on the rough calculation of the comprehensive electricity price, the estimated annual electricity cost savings and carbon dioxide emission reduction, an electronic letter of intent for electricity sales discounts containing user identity information is automatically generated and sent to the mobile device for user confirmation. Data supplement prompt steps: Receive the user's uploaded electricity bill or authorized access to historical time-of-use electricity data; The discount calculation steps are as follows: After receiving the user's uploaded electricity bill and / or authorized access to historical time-of-use electricity data, the user's actual time-of-use electricity ratio is parsed and replaced with the time-of-use electricity reference ratio. The comprehensive electricity price of the power supply bureau and the comprehensive electricity price of the electricity sales company are recalculated, and the annual estimated electricity savings and / or the corresponding carbon dioxide emissions and / or the equivalent number of trees planted are updated. Order dispatching process: After detecting that the user has confirmed the letter of intent, the annual electricity consumption, the rough calculation of the comprehensive electricity price, the estimated electricity cost savings and user information are written into the database, and the electricity sales service dispatching process is triggered.

2. The electricity sales method based on online assessment and offline service reservation as described in claim 1, characterized in that, Before the time-sharing ratio estimation step, the following also includes: Name collection steps: Receive the company name entered by the user on the mobile device, call the backend Qichacha interface, and retrieve company information that matches the company name; The time-of-use ratio estimation step is as follows: call the preset industry average time-of-use ratio that matches the enterprise information as the time-of-use electricity reference ratio.

3. The electricity sales method based on online assessment and offline service reservation according to claim 2, characterized in that, The data supplementation prompt steps are as follows: After the results of the discount estimation step are displayed, a prompt is sent to the user to guide the user to upload the electricity bill or authorize the acquisition of historical time-of-use electricity data; when the data is received, the discount actuarial step is entered to replace the time-of-use electricity reference ratio, and the annual estimated electricity cost savings and / or the corresponding carbon dioxide emissions and / or the equivalent number of trees planted are updated. In the preferential calculation step, the step of receiving the user's uploaded electricity bill and parsing it to obtain the user's actual time-of-use electricity ratio includes: performing optical character recognition processing on the user's uploaded electricity bill to extract peak, normal, and valley electricity consumption, and using the extraction results as the actual time-of-use electricity ratio; In the preferential calculation step, the historical time-of-use electricity data obtained through authorization is parsed to obtain the user's actual time-of-use electricity ratio, which includes: pulling historical time-of-use electricity curves through the data interface provided by the power grid company or electricity sales company, extracting the curves after obtaining them, and using the extraction results as the actual time-of-use electricity ratio.

4. The electricity sales method based on online assessment and offline service reservation according to claim 3, characterized in that, In the discount calculation process, when the user's actual time-of-use electricity consumption data cannot be obtained, the system automatically selects the time-of-use electricity consumption ratio in the discount calculation process according to the priority strategy of prioritizing the industry average time-of-use ratio and then the platform default time-of-use ratio. If the electricity price for a certain period is missing, the compensation calculation will be based on the pre-stored monthly average price or the nearest valid price. The carbon emission coefficient per unit of electricity and the annual carbon sequestration per tree parameters used in the environmental conversion steps can be configured by the administrator in the background and updated periodically. In the letter of intent delivery step, the electronic electricity sales discount letter of intent is accompanied by a server timestamp and hash verification value to verify the integrity of the letter of intent content; During the letter of intent delivery process, before the user confirms the letter of intent, the mobile app provides an information verification interface, allowing the user to modify the company information, contact person, and appointment time before confirming. During the order dispatching process, the system writes the user confirmation time, confirmation IP address, and confirmation device identifier into the database for auditing purposes. The electricity sales service order dispatching process includes sending orders to users and electricity sales consultants via at least one of the following methods: SMS, in-site message, or email. When storing sensitive user information in the database, field-level desensitization rules are used, and user passwords are stored using an asymmetric encryption algorithm.

5. The electricity sales method based on online assessment and offline service reservation according to claim 4, characterized in that, Following the step of sending out the letter of intent, the following steps are also included: Project management steps: Internal users of the electricity sales company register potential customer information, record project progress, and prevent duplicate follow-ups through the project management interface; customer registration is verified using the enterprise's unified social credit code or unique enterprise identifier for deduplication. Price management steps: Administrators can view the electricity price curves corresponding to different industries or user types in the background as a line graph, and can adjust the price parameters online and synchronize them to the mobile terminal; each adjustment of price parameters automatically generates a version number and modification log for subsequent auditing and backtracking. During the API call process, a request header containing a timestamp and a token is used in conjunction with hash verification to prevent replay attacks and data tampering.

6. A power sales platform, characterized in that, The electricity sales platform is used to implement the method according to any one of claims 1 to 5, and comprises: Electricity consumption data acquisition module: used to receive annual electricity consumption data input by the user on the mobile device; Time-of-use ratio estimation module: used to call the preset industry average time-of-use ratio as the time-of-use electricity consumption reference ratio; Electricity price acquisition module: used to obtain the corresponding peak, normal, and valley time electricity prices from the power supply bureau and the corresponding peak, normal, and valley time electricity prices from the power sales company; The discount estimation module is used to calculate the estimated annual electricity savings for users based on the annual electricity consumption, the reference ratio of time-of-use electricity consumption, the electricity price of the power supply bureau for the corresponding time period, and the electricity price of the electricity sales company for the corresponding time period. Letter of Intent Push Module: This module is used to automatically generate an electronic letter of intent for electricity sales discounts containing user information based on a rough calculation of the comprehensive electricity price and the annual estimated electricity cost savings, and push the letter of intent to the mobile device for user confirmation. The order dispatch module is used to write annual electricity consumption, rough comprehensive electricity price, estimated electricity cost savings and user information into the database after detecting that the user has confirmed the letter of intent, and to trigger the electricity sales service order dispatch process.

7. An electronic device, characterized in that, include: One or more processors; A memory for storing executable instructions; wherein the one or more processors are configured to invoke the executable instructions stored in the memory to perform the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the computer program instructions are executed by the processor, they implement the method described in any one of claims 1 to 5.

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