Transaction organization method of power transaction platform and related device

Abstract

The invention belongs to the field of electric power automation, and discloses an electric power transaction platform transaction organization method and related devices.The method comprises the steps that transaction organization instruction information is obtained, and a preset transaction parameter recognition large language model is called to analyze the transaction organization instruction information to obtain transaction parameters of a transaction organization; generating transaction organization configuration information based on a preset transaction template; and mapping the transaction organization configuration information to the power transaction platform to trigger the power transaction platform to perform transaction organization based on the transaction organization configuration information. According to the method, transaction organization can be automatically completed only by inputting instruction information, and the operation process is simplified; the large language model is used for obtaining transaction parameters, the generalization ability is high, the method can adapt to various expressions and scenes, configuration information is generated in combination with a preset template, transaction organization time can be shortened, efficiency can be improved, human errors can be reduced, accuracy can be improved, operation is visual and friendly, transaction convenience and efficiency can be improved, and active and healthy development of the power market is promoted. Resource configuration is perfected, and waste is reduced.

Description

Technical Field

[0001] This invention belongs to the field of power automation and relates to a method for organizing power trading platforms and related devices. Background Technology

[0002] The electricity market is a crucial component of power system reform, and the electricity trading platform, as the core carrier of the electricity market, bears the important responsibility of organizing transactions. Currently, when organizing transactions on the electricity trading platform, users typically need to select function menus and configure complex parameters such as access terms, declaration terms, and transaction terms to complete a full transaction.

[0003] However, this transaction organization method has the following problems: 1. Cumbersome operation: Users need to be familiar with the complex menu structure and parameter configuration, with many operation steps and high learning cost; 2. Inefficient: Completing a transaction organization requires multiple clicks and configurations, which takes a long time; 3. Prone to errors: The complex configuration process can easily lead to incorrect parameter settings, affecting the quality of transaction organization; 4. Poor user experience: It lacks an intuitive and convenient operation method and does not conform to the user's natural interaction habits. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method for organizing power trading platforms and related devices.

[0005] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides a method for organizing transactions on a power trading platform, comprising: acquiring transaction organization instruction information and calling a preset transaction parameter recognition big data model to parse the transaction organization instruction information to obtain transaction parameters of the transaction organization; generating transaction organization configuration information based on a preset transaction template according to the transaction parameters of the transaction organization; and mapping the transaction organization configuration information to the power trading platform; wherein the transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the transaction organization configuration information.

[0006] Optionally, the transaction organization instruction information may be in text form or in voice form.

[0007] Optionally, the preset transaction parameter recognition large language model is obtained by: acquiring training samples, and performing adaptation fine-tuning of the large language model based on the training samples with transaction parameter recognition as the adaptation task, to obtain the preset transaction parameter recognition large language model; wherein, the training samples are transaction organization instruction information constructed based on different transaction parameters.

[0008] Optionally, generating transaction organization configuration information based on a preset transaction template according to the transaction parameters of the transaction organization includes: determining the transaction type of the transaction organization based on the transaction parameters of the transaction organization; selecting the transaction template corresponding to the transaction type from the preset transaction templates as the target transaction template; filling the transaction parameters of the transaction organization into the target transaction template to obtain initial transaction organization configuration information; performing logical verification on the initial transaction organization configuration information based on preset logical verification rules; and obtaining the final transaction organization configuration information when the initial transaction organization configuration information passes the logical verification; otherwise, generating transaction organization configuration information error alarm information.

[0009] Optionally, mapping the transaction organization configuration information to the power trading platform includes: converting the transaction organization configuration information into application programming interface (API) call parameters that the power trading platform can recognize to obtain converted data; and sending the converted data to the power trading platform by calling the API of the power trading platform; wherein the converted data is used to trigger the power trading platform to organize transactions based on the converted data.

[0010] Optionally, it also includes: receiving the transaction organization results and transaction organization operation logs from the power trading platform; obtaining the feedback results from the transaction initiator based on the transaction organization results, and completing the transaction organization when the feedback result is confirmed; when the feedback result is not confirmed, obtaining modification information and modifying the transaction organization configuration information according to the modification information to obtain updated transaction organization configuration information, and mapping the updated transaction organization configuration information to the power trading platform; wherein, the updated transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the updated transaction organization configuration information.

[0011] In a second aspect, the present invention provides a trading group system for a power trading platform, comprising: an instruction parsing module for acquiring trading organization instruction information and calling a preset trading parameter recognition large language model to parse the trading organization instruction information to obtain the trading parameters of the trading organization; a trading configuration module for generating trading organization configuration information based on a preset trading template according to the trading parameters of the trading organization; and an organization triggering module for mapping the trading organization configuration information to the power trading platform; wherein the trading organization configuration information is used to trigger the power trading platform to organize trading based on the trading organization configuration information.

[0012] Optionally, the transaction organization instruction information may be in text form or in voice form.

[0013] Optionally, the preset transaction parameter recognition large language model is obtained by: acquiring training samples, and performing adaptation fine-tuning of the large language model based on the training samples with transaction parameter recognition as the adaptation task, to obtain the preset transaction parameter recognition large language model; wherein, the training samples are transaction organization instruction information constructed based on different transaction parameters.

[0014] Optionally, the transaction configuration module is specifically used for: determining the transaction type of the transaction organization based on the transaction parameters of the transaction organization; selecting the transaction template corresponding to the transaction type from the preset transaction templates as the target transaction template; filling the transaction parameters of the transaction organization into the target transaction template to obtain initial transaction organization configuration information; performing logical verification on the initial transaction organization configuration information based on preset logical verification rules; and obtaining the final transaction organization configuration information when the initial transaction organization configuration information passes the logical verification; otherwise, generating transaction organization configuration information error alarm information.

[0015] Optionally, the organization triggering module is specifically used to: convert the transaction organization configuration information into application programming interface call parameters that the power trading platform can recognize to obtain conversion data; and send the conversion data to the power trading platform by calling the application programming interface of the power trading platform; wherein, the conversion data is used to trigger the power trading platform to organize transactions based on the conversion data.

[0016] Optionally, a result feedback module is also included, used for: receiving the transaction organization results and transaction organization operation logs from the power trading platform; obtaining the feedback results from the transaction initiator based on the transaction organization results; and completing the transaction organization when the feedback result is confirmed; and obtaining modification information and modifying the transaction organization configuration information according to the modification information to obtain updated transaction organization configuration information when the feedback result is not confirmed, and mapping the updated transaction organization configuration information to the power trading platform; wherein, the updated transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the updated transaction organization configuration information.

[0017] In a third aspect, the present invention provides a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described power trading platform trading organization method.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described power trading platform trading organization method.

[0019] Compared with the prior art, the present invention has the following beneficial effects: This invention discloses a trading organization method for a power trading platform. It parses trading organization instruction information using a pre-defined trading parameter recognition large language model to obtain trading parameters. Then, based on a pre-defined trading template, it generates trading organization configuration information. Finally, it maps this configuration information to the power trading platform to realize trading organization. The entire trading organization process is automatically completed simply by inputting trading organization instructions, eliminating the need for complex manual configuration and greatly simplifying the operation process. Furthermore, the trading parameter acquisition using the trading parameter recognition large language model has excellent generalization capabilities, adapting to different expression methods and various trading scenarios. Combined with the pre-defined trading template to generate trading organization configuration information, this significantly shortens trading organization time, improves work efficiency, reduces human error, and enhances the accuracy of trading organization. In addition, this invention's method conforms to users' natural interaction habits, providing a more intuitive and user-friendly operation. By improving the convenience and efficiency of trading organization, it contributes to the active and healthy development of the power market, thereby improving resource allocation and reducing waste. Attached Figure Description

[0020] Figure 1 This is a flowchart of the power trading platform transaction organization method according to an embodiment of the present invention.

[0021] Figure 2 This is a block diagram of the power trading platform trading organization system according to an embodiment of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] The present invention will now be described in further detail with reference to the accompanying drawings: See Figure 1 In one embodiment of the present invention, a transaction organization method for an electricity trading platform is provided, specifically a transaction organization method for an electricity trading platform based on a large language model. This method can reduce the difficulty of transaction organization through an electricity trading platform, simplify user operations, and improve the efficiency and accuracy of transaction organization.

[0025] Specifically, the power trading platform trading organization method of the present invention includes the following steps: S1: Obtain the transaction organization instruction information and call the preset transaction parameter recognition language model to parse the transaction organization instruction information to obtain the transaction parameters of the transaction organization.

[0026] S2: Generate transaction organization configuration information based on the transaction parameters of the transaction organization and a preset transaction template.

[0027] S3: Map the transaction organization configuration information to the power trading platform; wherein, the transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the transaction organization configuration information.

[0028] This invention discloses a trading organization method for a power trading platform. It parses trading organization instruction information using a pre-defined trading parameter recognition large language model to obtain trading parameters. Then, based on a pre-defined trading template, it generates trading organization configuration information. Finally, it maps this configuration information to the power trading platform to realize trading organization. The entire trading organization process is automatically completed simply by inputting trading organization instructions, eliminating the need for complex manual configuration and greatly simplifying the operation process. Furthermore, the trading parameter acquisition using the trading parameter recognition large language model has excellent generalization capabilities, adapting to different expression methods and various trading scenarios. Combined with the pre-defined trading template to generate trading organization configuration information, this significantly shortens trading organization time, improves work efficiency, reduces human error, and enhances the accuracy of trading organization. In addition, this invention's method conforms to users' natural interaction habits, providing a more intuitive and user-friendly operation. By improving the convenience and efficiency of trading organization, it contributes to the active and healthy development of the power market, thereby improving resource allocation and reducing waste.

[0029] In one possible implementation, the transaction organization instruction information is in text form or in voice form.

[0030] Interpretive transaction organization instruction information refers to the original input expressed in natural language by the transaction organization initiator (such as a dispatcher at a power trading center, a trader at a power sales company, or an energy manager of a large industrial user) to initiate a certain type of power trading activity. It can be input in text or voice form, fully taking into account the usage habits and actual scenario needs of different users, thereby improving the efficiency of transaction organization.

[0031] For example, before calling the preset transaction parameter recognition big language model to parse the transaction organization instruction information, the transaction organization instruction information can be preprocessed, including textification of the voice instruction information, as well as text cleaning and standardization, to adapt to the input of the transaction parameter recognition big language model.

[0032] In one possible implementation, the preset transaction parameter recognition large language model is obtained by: acquiring training samples, and performing adaptation fine-tuning of the large language model based on the training samples with transaction parameter recognition as the adaptation task, to obtain the preset transaction parameter recognition large language model; wherein, the training samples are transaction organization instruction information constructed based on different transaction parameters.

[0033] To further improve the accuracy of large language models in parsing transaction parameters of transaction organizations, this invention acquires transaction organization instruction information constructed based on different transaction parameters and performs task-adaptive fine-tuning on general large language models, such as the GPT series and LLaMA series. This can be achieved through methods such as continued pre-training fine-tuning, instruction fine-tuning, or efficient parameter fine-tuning. This solves the problems of general large language models struggling to accurately identify technical terms and being susceptible to interference from colloquial expressions, ensuring strong robustness against power industry terminology, regional expressions, and colloquial biases, thereby effectively improving the accuracy of transaction parameter identification.

[0034] For example, the transaction parameters of a trading organization generally include key parameters such as the transaction type, time, participants, and price, which can support the complete execution of the transaction.

[0035] In one possible implementation, generating transaction organization configuration information based on a preset transaction template according to the transaction parameters of the transaction organization includes: determining the transaction type of the transaction organization based on the transaction parameters of the transaction organization; selecting a transaction template corresponding to the transaction type from the preset transaction templates as a target transaction template; filling the transaction parameters of the transaction organization into the target transaction template to obtain initial transaction organization configuration information; performing logical verification on the initial transaction organization configuration information based on preset logical verification rules; and obtaining the final transaction organization configuration information when the initial transaction organization configuration information passes the logical verification; otherwise, generating transaction organization configuration information error alarm information.

[0036] Explanatory, preset transaction templates refer to a series of pre-defined transaction templates for different transaction types. These can be JSON format template files pre-stored in the system's knowledge base, such as day-ahead centralized bidding templates and new energy power centralized trading templates. Each transaction template clearly defines required fields, optional fields, and logical constraints between fields.

[0037] Explained, when generating transaction organization configuration information, the transaction type of the transaction organization is first determined based on its transaction parameters. Then, a transaction template corresponding to the transaction type is selected from preset transaction templates as the target transaction template. Based on the settings of the target transaction template, the transaction parameters of the transaction organization are filled into the target transaction template as the initial transaction organization configuration information. Furthermore, to ensure the accuracy of the transaction organization configuration information, this invention designs a logical verification process for the initial transaction organization configuration information. Logical verification of the initial transaction organization configuration information can be performed based on preset logical verification rules. Only when the initial transaction organization configuration information passes the logical verification is it used as the final transaction organization configuration information; otherwise, an error alarm message is generated to prompt the transaction initiator to make modifications. For example, the preset logical verification rules generally include syntax-level verification rules and business rule-level verification rules, etc.

[0038] In this implementation, a progressive generation mechanism consisting of type recognition, template matching, parameter filling, and logic verification solves problems such as template misselection, parameter omission, and logic conflict caused by manual selection. This significantly reduces the configuration error rate and effectively improves the first-time pass rate of transaction organization. At the same time, based on the immediate feedback of verification failures, operable correction guidance is provided, which greatly shortens the time spent by users reworking.

[0039] In one possible implementation, mapping the transaction organization configuration information to the power trading platform includes: converting the transaction organization configuration information into application programming interface (API) call parameters that the power trading platform can recognize to obtain converted data; and sending the converted data to the power trading platform by calling the API of the power trading platform; wherein the converted data is used to trigger the power trading platform to organize transactions based on the converted data.

[0040] To ensure seamless integration of transaction organization configuration information with the power trading platform and smooth transaction organization processes, the configuration information is first precisely converted into application programming interface (API) call parameters that the power trading platform can recognize and process, thus obtaining adapted conversion data. Subsequently, by calling the pre-defined API of the power trading platform, the converted data is accurately sent to the platform, which can then immediately initiate transaction organization work. This approach effectively breaks down data barriers between different systems, achieving efficient information flow and accurate interaction, greatly improving the automation and execution efficiency of power trading organization, and reducing errors and delays that may be caused by manual intervention.

[0041] In one possible implementation, the power trading platform transaction organization method further includes: receiving transaction organization results and transaction organization operation logs from the power trading platform; obtaining feedback from the transaction initiator based on the transaction organization results; and completing the transaction organization when the feedback result is confirmed; and obtaining modification information and modifying the transaction organization configuration information according to the modification information to obtain updated transaction organization configuration information when the feedback result is not confirmed, and mapping the updated transaction organization configuration information to the power trading platform; wherein, the updated transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the updated transaction organization configuration information.

[0042] Interpretive, the transaction organization operation log is a full-link execution trajectory recorded internally by the power trading platform. It generally includes auditable fields such as timestamps, interface names, input parameter snapshots, intermediate processing logic identifiers, system response time, and key status change events, which can support the analysis and traceability of the transaction organization.

[0043] Explained in this paper, the invention not only focuses on advancing the transaction organization process but also constructs a comprehensive feedback and correction mechanism. By obtaining feedback from the transaction initiator based on the transaction organization results, if the feedback is positive, it indicates that the transaction organization meets the initiator's expectations and can be successfully completed; if the feedback is negative, modification information is obtained and the transaction organization configuration information is precisely modified based on this information to obtain updated transaction organization configuration information. This updated configuration information is then mapped to the power trading platform, triggering the platform to re-initiate the transaction organization based on the updated information. This effectively ensures that the transaction organization can be flexibly adjusted according to the actual situation, improving the accuracy and success rate of the transaction organization and enhancing the adaptability and reliability of the power trading platform's transaction organization method.

[0044] In one possible implementation, taking a specific trading organization as an example, the specific process of the trading organization method of the power trading platform of the present invention is described.

[0045] Step 1: Obtain transaction organization instruction information. The user inputs: "I want to create a centralized trading sequence for new energy electricity tomorrow. The trading time is from 9:00 to 11:00. The buyers are electricity sales companies and electricity users, and the sellers are new energy power generation companies. The upper limit of the trading price is 1,000 yuan / MWh, and the lower limit is -10 yuan / MWh."

[0046] Step 2: Call the preset transaction parameter recognition big language model to parse the transaction organization instruction information and obtain the transaction parameters of the transaction organization, including: identifying the transaction type: centralized transaction of new energy power, identifying the transaction time: tomorrow 9:00-11:00, identifying the buyer: power sales company, power user, identifying the seller: new energy power generation enterprise, identifying the upper limit of price: 1000 yuan / MWh, identifying the lower limit of price: -10 yuan / MWh.

[0047] Step 3: Based on the identified transaction type, match the new energy power centralized transaction template in the preset transaction template, fill the transaction parameters into the new energy power centralized transaction template to generate the initial transaction organization configuration information, and perform logical verification based on the preset logical verification rules. The logical verification result is passed.

[0048] Step 4: Convert the transaction organization configuration information into application programming interface (API) call parameters that the power trading platform can recognize to obtain the converted data, and send the converted data to the power trading platform by calling the power trading platform's API, so that the transaction organization can be carried out through the power trading platform.

[0049] Step 5: The power trading platform provides feedback on the transaction organization results and transaction organization operation log, and offers modification and confirmation options. The transaction organization results have been manually verified as successful.

[0050] The following are embodiments of the apparatus of the present invention, which can be used to execute embodiments of the method of the present invention. For details not disclosed in the apparatus embodiments, please refer to the embodiments of the method of the present invention.

[0051] See Figure 2 In another embodiment of the present invention, a power trading platform trading group system is provided, which can be used to implement the above-mentioned power trading platform trading group method. Specifically, the power trading platform trading group system includes an instruction parsing module, a trading configuration module, and an organization triggering module.

[0052] The instruction parsing module is used to obtain the instruction information of the trading organization and call the preset trading parameter recognition big language model to parse the instruction information of the trading organization to obtain the trading parameters of the trading organization; the trading configuration module is used to generate the trading organization configuration information based on the trading parameters of the trading organization and the preset trading template; the organization triggering module is used to map the trading organization configuration information to the power trading platform; the trading organization configuration information is used to trigger the power trading platform to organize transactions based on the trading organization configuration information.

[0053] In one possible implementation, the transaction organization instruction information is in text form or in voice form.

[0054] In one possible implementation, the preset transaction parameter recognition large language model is obtained by: acquiring training samples, and performing adaptation fine-tuning of the large language model based on the training samples with transaction parameter recognition as the adaptation task, to obtain the preset transaction parameter recognition large language model; wherein, the training samples are transaction organization instruction information constructed based on different transaction parameters.

[0055] In one possible implementation, the transaction configuration module is specifically used to: determine the transaction type of the transaction organization based on the transaction parameters of the transaction organization; select the transaction template corresponding to the transaction type from the preset transaction templates as the target transaction template; fill the transaction parameters of the transaction organization into the target transaction template to obtain initial transaction organization configuration information, and perform logical verification on the initial transaction organization configuration information based on preset logical verification rules; and when the initial transaction organization configuration information passes the logical verification, obtain the final transaction organization configuration information; otherwise, generate transaction organization configuration information error alarm information.

[0056] In one possible implementation, the organization triggering module is specifically used to: convert transaction organization configuration information into application programming interface (API) call parameters that the power trading platform can recognize to obtain conversion data; and send the conversion data to the power trading platform by calling the power trading platform's API; wherein the conversion data is used to trigger the power trading platform to organize transactions based on the conversion data.

[0057] In one possible implementation, a result feedback module is further included, configured to: receive transaction organization results and transaction organization operation logs from the power trading platform; obtain feedback results from the transaction initiator based on the transaction organization results; and complete the transaction organization when the feedback result is confirmed; and when the feedback result is not confirmed, obtain modification information and modify the transaction organization configuration information according to the modification information to obtain updated transaction organization configuration information, and map the updated transaction organization configuration information to the power trading platform; wherein, the updated transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the updated transaction organization configuration information.

[0058] All relevant content of each step involved in the aforementioned embodiments of the power trading platform trading organization method can be referenced to the functional description of the corresponding functional module of the power trading platform trading organization system in the embodiments of the present invention, and will not be repeated here.

[0059] The module division in this embodiment of the invention is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in the various embodiments of the invention can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0060] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve corresponding method flows or corresponding functions. The processor described in this embodiment of the present invention can be used for the operation of a power trading platform's trading organization method.

[0061] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the power trading platform trading organization method in the above embodiments.

[0062] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0063] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0064] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0065] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for organizing transactions on an electricity trading platform, characterized in that, include: Obtain the transaction organization's instruction information, and call the preset transaction parameter recognition big language model to parse the transaction organization's instruction information to obtain the transaction organization's transaction parameters; Based on the transaction parameters of the transaction organization, generate transaction organization configuration information based on the preset transaction template; The transaction organization configuration information is mapped to the power trading platform; the transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the transaction organization configuration information.

2. The power trading platform transaction organization method according to claim 1, characterized in that, The transaction organization instruction information can be in text form or in voice form.

3. The power trading platform trading organization method according to claim 1, characterized in that, The preset transaction parameter recognition language model is obtained through the following method: Training samples are obtained, and the large language model is adapted and fine-tuned based on the training samples with transaction parameter recognition as the adaptation task to obtain the preset transaction parameter recognition large language model; wherein, the training samples are transaction organization instruction information constructed based on different transaction parameters.

4. The power trading platform transaction organization method according to claim 1, characterized in that, The step of generating transaction organization configuration information based on the transaction parameters of the transaction organization and a preset transaction template includes: Determine the transaction type of the transaction organization based on its transaction parameters; Select the transaction template corresponding to the transaction type from the preset transaction templates as the target transaction template; The transaction parameters of the transaction organization are filled into the target transaction template to obtain the initial transaction organization configuration information. The initial transaction organization configuration information is then logically validated based on preset logical validation rules. If the initial transaction organization configuration information passes the logical validation, the final transaction organization configuration information is obtained; otherwise, an error alarm message for the transaction organization configuration information is generated.

5. The power trading platform transaction organization method according to claim 1, characterized in that, The process of mapping transaction organization configuration information to the power trading platform includes: The transaction organization configuration information is converted into application programming interface (API) call parameters that the power trading platform can recognize to obtain conversion data; and the conversion data is sent to the power trading platform by calling the power trading platform's API; wherein, the conversion data is used to trigger the power trading platform to organize transactions based on the conversion data.

6. The power trading platform transaction organization method according to claim 1, characterized in that, Also includes: Receive transaction organization results and transaction organization operation logs from the power trading platform; Obtain feedback from the transaction initiator based on the transaction organization results, and complete the transaction organization when the feedback result is confirmation; When the feedback result is "not confirmed", the modification information is obtained and the transaction organization configuration information is modified according to the modification information to obtain the updated transaction organization configuration information, and the updated transaction organization configuration information is mapped to the power trading platform; wherein, the updated transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the updated transaction organization configuration information.

7. A power trading platform trading group system, characterized in that, include: The instruction parsing module is used to obtain the instruction information of the trading organization and call the preset trading parameter recognition big language model to parse the instruction information of the trading organization to obtain the trading parameters of the trading organization. The transaction configuration module is used to generate transaction organization configuration information based on the transaction parameters of the transaction organization and a preset transaction template. The organization triggering module is used to map transaction organization configuration information to the power trading platform; the transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the transaction organization configuration information.

8. The power trading platform trading organization system according to claim 7, characterized in that, The transaction organization instruction information can be in text form or in voice form.

9. The power trading platform trading organization system according to claim 7, characterized in that, The preset transaction parameter recognition language model is obtained through the following method: Training samples are obtained, and the large language model is adapted and fine-tuned based on the training samples with transaction parameter recognition as the adaptation task to obtain the preset transaction parameter recognition large language model; wherein, the training samples are transaction organization instruction information constructed based on different transaction parameters.

10. The power trading platform trading organization system according to claim 7, characterized in that, The transaction configuration module is specifically used for: Determine the transaction type of the transaction organization based on its transaction parameters; Select the transaction template corresponding to the transaction type from the preset transaction templates as the target transaction template; The transaction parameters of the transaction organization are filled into the target transaction template to obtain the initial transaction organization configuration information. The initial transaction organization configuration information is then logically validated based on preset logical validation rules. When the initial transaction organization configuration information passes the logical validation, the final transaction organization configuration information is obtained. Otherwise, generate an error alarm message regarding the transaction organization configuration information.

11. The power trading platform trading organization system according to claim 7, characterized in that, The organization triggering module is specifically used for: The transaction organization configuration information is converted into application programming interface (API) call parameters that the power trading platform can recognize to obtain conversion data; and the conversion data is sent to the power trading platform by calling the power trading platform's API; wherein, the conversion data is used to trigger the power trading platform to organize transactions based on the conversion data.

12. The power trading platform trading organization system according to claim 7, characterized in that, It also includes a results feedback module, used for: Receive transaction organization results and transaction organization operation logs from the power trading platform; Obtain feedback from the transaction initiator based on the transaction organization results, and complete the transaction organization when the feedback result is confirmation; When the feedback result is "not confirmed", the modification information is obtained and the transaction organization configuration information is modified according to the modification information to obtain the updated transaction organization configuration information, and the updated transaction organization configuration information is mapped to the power trading platform; wherein, the updated transaction organization configuration information is used to trigger the power trading platform to organize transactions based on the updated transaction organization configuration information.

13. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the power trading platform trading organization method as described in any one of claims 1 to 6.

14. 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 power trading platform trading organization method as described in any one of claims 1 to 6.

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