A grid infrastructure project investment strategy rationality aided review system and method

Abstract

The application discloses a power grid infrastructure project investment strategy rationality auxiliary review system and method. The system comprises an investment strategy selection clause reading module, an investment strategy support data identification reading module, an investment strategy review module and a result output module. The investment strategy selection clause reading module is used for identifying power grid investment strategy selection clauses through a natural semantic analysis algorithm. The investment strategy support data identification reading module is used for reading project type information and support material information of load demand. The investment strategy review module is used for checking and reviewing. The result output module is used for outputting investment strategy review results.

Description

Technical Field

[0001] This invention belongs to the technical field of computer vision, specifically relating to a system and method for assisting in the review of the rationality of investment strategies in power grid infrastructure projects. Background Technology

[0002] The power grid infrastructure project investment strategy (hereinafter referred to as the "power grid investment strategy") is one of the important guidelines in the field of power grid planning. The power grid investment strategy guides the direction of power grid infrastructure investment, resolves prominent contradictions and problems in the power grid, ensures investment efficiency, and avoids investment waste. It also helps to guide the orderly release of infrastructure projects according to their priority and urgency, improving the rationality of planning.

[0003] In their daily planning work, power supply bureau planners mostly rely on manual review when examining investment strategies for distribution network projects, which presents the following problems:

[0004] (1) The power grid investment strategy was used incorrectly, which affected the rationality of project release.

[0005] (2) The unreasonable selection of power grid investment strategy has led to the priority of projects that should not be approved, resulting in investment waste and the need for meticulous planning and precise investment.

[0006] (3) Manual review is prone to errors and cannot promptly and accurately detect problems with the use of investment strategies, leading to a decline in the quality of feasibility studies.

[0007] (4) Manual review takes a long time. Summary of the Invention

[0008] The main objective of this invention is to overcome the shortcomings and deficiencies of existing technologies and provide a system and method for assisting in the review of the rationality of investment strategies in power grid infrastructure projects. This system can effectively assist reviewers in accurately and quickly reviewing power grid investment strategies, thereby comprehensively strengthening the control over the accuracy of power grid investment strategy application.

[0009] To achieve the above objectives, the present invention adopts the following technical solution:

[0010] One aspect of the present invention provides an auxiliary review system for the rationality of investment strategies used in power grid infrastructure projects, including an investment strategy selection clause reading module, an investment strategy supporting data identification and reading module, an investment strategy review module, and a result output module;

[0011] The investment strategy selection clause reading module is used to identify power grid investment strategy selection clauses through natural language processing algorithms.

[0012] The investment strategy support data identification and reading module is used to read project type information and supporting material information for load requirements;

[0013] The investment strategy review module is used for verification and review.

[0014] The results output module is used to output the investment strategy review results.

[0015] As a preferred technical solution, the natural language processing algorithm is specifically as follows:

[0016] S1.1. Dynamically extract content using a string matching algorithm based on the format template;

[0017] S1.2. Dynamically read the investment strategy code using a custom algorithm, as follows: Take the extracted investment strategy code string and traverse it one by one from the first character. Determine whether the characters are consecutively within the range of numbers and the special symbol ".". If a Chinese character is encountered or the string is not within the range of numbers and the special symbol ".", then directly exit the traversal logic and take the current character index position as the end position of the extracted investment strategy code. Extract the string from index 0 to the end character index position as the read investment strategy code.

[0018] S1.3 Obtain the prescribed investment strategy content using the investment strategy code and compare it with the investment strategy actually filled in the feasibility study report.

[0019] As a preferred technical solution, the reading of project type information specifically involves:

[0020] S2.1 Define the basic information for the "Project Purpose" field in the dynamic configuration feasibility study report form, including its identifier, data format, and data reading method; the data reading method includes left reading, right reading, and downward reading.

[0021] S2.2 When parsing the feasibility study report form, locate the row and column numbers of the "Project Purpose" field using its key identifier.

[0022] S2.3. Obtain data content through the data reading method defined in the basic information of "Project Purpose" and store it according to the defined data format.

[0023] As a preferred technical solution, the reading of load prediction support material information specifically involves:

[0024] S3.1 Obtain supporting materials for load forecasting and parse the Excel spreadsheet;

[0025] S3.2. Data is cached sequentially from top to bottom, using rows and columns of the Excel sheet.

[0026] S3.3 Configure the basic information definition of the field to be read through dynamic configuration, including key identifier, key identifier of the parent field of the field to be read, data format, and data reading method; among which, the key identifier of the parent field of the field to be read is configured from top to bottom; the data reading method includes left reading, right reading, and downward reading;

[0027] S3.4. Based on the key identifier of the parent field of the field to be read, lock the row start number and column number range of the field to be read, that is, the start number and the end number;

[0028] S3.5 Based on the results of S3.4, the start and end numbers of the rows and columns of the field to be read are determined according to the key identifier of the field to be read.

[0029] S3.6. Control the end range of the read row and the data cache format according to the dynamically configured data format and data reading method of the field to be read.

[0030] As a preferred technical solution, the verification and review process specifically includes:

[0031] Determine if the extracted project type information is correct. If not, output "Incorrect investment strategy selection" and end; otherwise, proceed to the next step.

[0032] The system determines whether the submitted materials of the feasibility study include other supporting materials. If so, the system needs to scan and identify whether the user application information in the supporting materials belongs to the capacity increase type and obtain the increase / decrease capacity S0. The scanning and identification specifically involves: reading the text and numerical data on the screenshot of the user application information system through OCR recognition technology, and then extracting key information, including user name, main power category, increase / decrease capacity, total capacity and new application capacity, for subsequent analysis and calculation.

[0033] Add the increase / decrease in capacity S0 to the maximum load P in the feasibility study table to obtain S1, as shown in the following formula:

[0034] S1 = S0 + P

[0035] P = S * N

[0036] Where S0 represents the increase or decrease in capacity; P represents the maximum load in the feasibility study table, and if there are multiple transformers in the current area, the maximum loads are calculated separately and then added together; S represents the transformer area capacity; N represents the maximum load rate, which is obtained by the system.

[0037] Determine whether there exists a condition S1>=S*0.8 and S1>=S*30%+S2. If it exists and there is supporting material, then the investment strategy is considered to be correct; otherwise, the investment strategy is considered to be incorrect.

[0038] Another aspect of the present invention provides a method for assisting in the review of the rationality of investment strategies in power grid infrastructure projects, comprising the following steps:

[0039] Identify the selection criteria for power grid investment strategies using natural language processing algorithms;

[0040] The investment strategy support data identification and reading module reads project type information and supporting material information for load demand;

[0041] Verification and review are conducted through the investment strategy review module;

[0042] Output the investment strategy review results.

[0043] As a preferred technical solution, the natural language processing algorithm is specifically as follows:

[0044] S1.1. Dynamically extract content using a string matching algorithm based on the format template;

[0045] S1.2. Dynamically read the investment strategy code using a custom algorithm, as follows: Take the extracted investment strategy code string and traverse it one by one from the first character. Determine whether the characters are consecutively within the range of numbers and the special symbol ".". If a Chinese character is encountered or the string is not within the range of numbers and the special symbol ".", then directly exit the traversal logic and take the current character index position as the end position of the extracted investment strategy code. Extract the string from index 0 to the end character index position as the read investment strategy code.

[0046] S1.3 Obtain the prescribed investment strategy content using the investment strategy code and compare it with the investment strategy actually filled in the feasibility study report.

[0047] As a preferred technical solution, the reading of project type information specifically involves:

[0048] S2.1 Define the basic information for the "Project Purpose" field in the dynamic configuration feasibility study report form, including its identifier, data format, and data reading method; the data reading method includes left reading, right reading, and downward reading.

[0049] S2.2 When parsing the feasibility study report form, locate the row and column numbers of the "Project Purpose" field using its key identifier.

[0050] S2.3. Obtain data content through the data reading method defined in the basic information of "Project Purpose" and store it according to the defined data format;

[0051] The specific steps for reading the load prediction support material information are as follows:

[0052] S3.1 Obtain supporting materials for load forecasting and parse the Excel spreadsheet;

[0053] S3.2. Data is cached sequentially from top to bottom, using rows and columns of the Excel sheet.

[0054] S3.3 Configure the basic information definition of the field to be read through dynamic configuration, including key identifier, key identifier of the parent field of the field to be read (from top to bottom), data format, and data reading method; wherein, the key identifier of the parent field of the field to be read is configured from top to bottom; the data reading method includes left reading, right reading, and downward reading;

[0055] S3.4. Based on the key identifier of the parent field (from top to bottom) of the field to be read, lock the row start number and column number range of the field to be read, that is, the start number and the end number;

[0056] S3.5 Based on the results of S3.4, the start and end numbers of the rows and columns of the field to be read are determined according to the key identifier of the field to be read.

[0057] S3.6. Control the end range of the read row and the data cache format according to the dynamically configured data format and data reading method of the field to be read.

[0058] As a preferred technical solution, the verification and review process specifically includes:

[0059] Determine if the extracted project type information is correct. If not, output "Incorrect investment strategy selection" and end; otherwise, proceed to the next step.

[0060] The system determines whether the submitted materials of the feasibility study include other supporting materials. If so, the system needs to scan and identify whether the user application information in the supporting materials belongs to the capacity increase type and obtain the increase / decrease capacity S0. The scanning and identification specifically involves: reading the text and numerical data on the screenshot of the user application information system through OCR recognition technology, and then extracting key information, including user name, main power category, increase / decrease capacity, total capacity and new application capacity, for subsequent analysis and calculation.

[0061] Add the increase / decrease in capacity S0 to the maximum load P in the feasibility study table to obtain S1, as shown in the following formula:

[0062] S1 = S0 + P

[0063] P = S * N

[0064] Where S0 represents the increase or decrease in capacity; P represents the maximum load in the feasibility study table, and if there are multiple transformers in the current area, the maximum loads are calculated separately and then added together; S represents the transformer area capacity; N represents the maximum load rate, which is obtained by the system.

[0065] Determine whether there exists a condition S1>=S*0.8 and S1>=S*30%+S2. If it exists and there is supporting material, then the investment strategy is considered to be correct; otherwise, the investment strategy is considered to be incorrect.

[0066] In another aspect, the present invention also provides a storage medium storing a program that, when executed by a processor, implements the above-described method for assisting in the review of the rationality of investment strategies for power grid infrastructure projects.

[0067] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0068] (1) Conventional power grid investment strategy reviews mostly rely on manual review, which is time-consuming and inefficient. If errors in the use of investment strategies are not detected, it can easily lead to waste of power grid investment, which does not meet the requirements of refined planning and precise investment. However, the power grid investment strategy auxiliary review tool based on natural language processing and image recognition proposed in this application can effectively assist reviewers in realizing intelligent and rapid review of power grid investment strategies, thereby strengthening the quality control of investment strategy use and effectively improving investment efficiency.

[0069] (2) This application has great practical value and significance for optimizing the traditional investment strategy review model, improving the rationality of investment strategy use, and promoting meticulous planning and precise investment.

[0070] (3) Improve the correctness of power grid investment strategies and ensure the rationality of power grid investment.

[0071] (4) Assisting in avoiding serious problems caused by incorrect investment strategies. Practical application results show that this patented technology can effectively help reviewers identify problems such as incorrect investment strategies, effectively improve the quality of review, avoid projects from triggering serious violations, and improve the economic efficiency of power grid investment.

[0072] (5) Significantly improves review efficiency. Conventional manual review of investment strategies requires opening each folder to check supporting materials and comparison data. With the adoption of this patented technology, the machine can directly determine whether the investment strategy is used correctly, greatly improving efficiency. Attached Figure Description

[0073] Figure 1 This is a flowchart illustrating the structural diagram of a system for assisting in the review of the rationality of investment strategies in power grid infrastructure projects, according to an embodiment of the present invention.

[0074] Figure 2 This is a flowchart of a method for assisting in the review of the rationality of investment strategies in power grid infrastructure projects, according to an embodiment of the present invention.

[0075] Figure 3This is a schematic diagram of the structure of the storage medium according to an embodiment of the present invention. Detailed Implementation

[0076] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative effort are within the scope of protection of the present application.

[0077] Example

[0078] like Figure 1 As shown in the figure, this embodiment provides a system for assisting in the review of the rationality of investment strategies in power grid infrastructure projects, including:

[0079] I. Investment Strategy Selection Terms Reading Module

[0080] From the feasibility study report, natural language processing is used to extract the selection clauses for power grid investment strategies, which serve as one of the basic information for reviewing investment strategies.

[0081] The natural language processing algorithm is specifically as follows:

[0082] S1.1. Dynamically extract content using a string matching algorithm based on the format template;

[0083] S1.2. Dynamically read the investment strategy code using a custom algorithm, as follows: Take the extracted investment strategy code string and traverse it one by one from the first character. Determine whether the characters are consecutively within the range of numbers and the special symbol ".". If a Chinese character is encountered or the string is not within the range of numbers and the special symbol ".", then directly exit the traversal logic and take the current character index position as the end position of the extracted investment strategy code. Extract the string from index 0 to the end character index position as the read investment strategy code.

[0084] S1.3 Obtain the prescribed investment strategy content using the investment strategy code and compare it with the investment strategy actually filled in the feasibility study report.

[0085] II. Investment Strategy Support Data Recognition and Reading Module

[0086] 1. Read "Project Type" information

[0087] Several investment strategies may correspond to one project type, therefore it is necessary to read the "project type" information to initially determine whether the investment strategy matches the project type. Specifically:

[0088] S2.1 Define the basic information for the "Project Purpose" field in the dynamic configuration feasibility study report form, including its identifier, data format, and data reading method; the data reading method includes left reading, right reading, and downward reading.

[0089] S2.2 When parsing the feasibility study report form, locate the row and column numbers of the "Project Purpose" field using its key identifier.

[0090] S2.3. Obtain data content through the data reading method defined in the basic information of "Project Purpose" and store it according to the defined data format.

[0091] 2. Retrieve the supporting materials for load demand from the other supporting documents submitted in the feasibility study—"Application for Installation," "Electricity Inquiry Letter," and "Potential Electricity Demand"—specifically:

[0092] S3.1 Obtain supporting materials for load forecasting and parse the Excel spreadsheet;

[0093] S3.2. Data is cached sequentially from top to bottom, using rows and columns of the Excel sheet.

[0094] S3.3 Configure the basic information definition of the field to be read through dynamic configuration, including key identifier, key identifier of the parent field of the field to be read (from top to bottom), data format, and data reading method; wherein, the key identifier of the parent field of the field to be read is configured from top to bottom; the data reading method includes left reading, right reading, and downward reading;

[0095] S3.4. Based on the key identifier of the parent field (from top to bottom) of the field to be read, lock the row start number and column number range of the field to be read, that is, the start number and the end number;

[0096] S3.5 Based on the results of S3.4, the start and end numbers of the rows and columns of the field to be read are determined according to the key identifier of the field to be read.

[0097] S3.6. Control the end range of the read row and the data cache format according to the dynamically configured data format and data reading method of the field to be read.

[0098] III. Investment Strategy Review Module

[0099] Taking the power grid infrastructure project type of "new construction or renovation of transformer substations to meet load demand" as an example, the main investment strategies involved in this project type are as follows: "1.12 Projects with clear electricity demand (providing application forms), where the existing power grid no longer meets the power supply demand, requiring the construction (renovation) of transformer substations to meet the load growth demand, and where the load rate reaches more than 30% within one year after commissioning;" and "2.8 Projects with clear electricity demand (providing electricity demand consultation letters), where the existing power grid no longer meets the power supply demand, requiring the construction (renovation) of transformer substations to meet the load growth demand, and where the load rate reaches more than 30% within one year after commissioning;".

[0100] The algorithm logic for validating and reviewing investment strategies is as follows:

[0101] After selecting strategy 1.12, it is first compared with the "Project Type" information. If the "Project Type" is "New construction or renovation of transformer substations to meet load demand" (i.e., the project type to be verified), then proceed to the next step of review; if it is not "New construction or renovation of transformer substations to meet load demand", then "Incorrect investment strategy selection" is output.

[0102] If the project type is correct, the system determines whether the submitted materials of the feasibility study include other supporting materials. If so, the system needs to scan and identify whether the user application information in the supporting materials belongs to the capacity increase type and obtain the increase / decrease capacity S0. The scanning and identification specifically involves: reading the text and numerical data on the screenshot of the user application information system through OCR recognition technology, and then extracting key information, including user name, main power category, increase / decrease capacity, total capacity and newly applied capacity, for subsequent analysis and calculation.

[0103] Add the increase / decrease in capacity S0 to the maximum load P in the feasibility study table to obtain S1, as shown in the following formula:

[0104] S1 = S0 + P

[0105] P = S * N

[0106] Where S0 represents the increase or decrease in capacity; P represents the maximum load in the feasibility study table, and if there are multiple transformers in the current area, the maximum loads are calculated separately and then added together; S represents the transformer area capacity; N represents the maximum load rate, which is obtained by the system.

[0107] Determine whether there exists S1>=S*0.8 and S1>=S*30%+S2. If there exists, and there is supporting material corresponding to the investment strategy, then the investment strategy is considered to be correct; otherwise, the investment strategy is considered to be incorrect.

[0108] IV. Conclusion Output Module

[0109] When the feasibility study supporting materials are complete and the data meets the investment strategy review criteria, the output will be "Investment strategy selection is correct"; when the feasibility study supporting materials are incomplete or the data does not meet the investment strategy review criteria, the output will be "Investment strategy selection is incorrect".

[0110] It should be noted that the system provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure can be divided into different functional modules to complete all or part of the functions described above. The system can also be applied to a method for assisting in the review of the rationality of investment strategies in power grid infrastructure projects in the following embodiments.

[0111] like Figure 2 As shown, in another embodiment of this application, a method for assisting in the review of the reasonableness of investment strategies in power grid infrastructure projects is provided, including the following steps:

[0112] S1. Identify the selection clauses for power grid investment strategies through natural language processing algorithms;

[0113] Furthermore, the natural language processing algorithm specifically includes:

[0114] S1.1. Dynamically extract content using a string matching algorithm based on the format template;

[0115] S1.2. Dynamically read the investment strategy code using a custom algorithm, as follows: Take the extracted investment strategy code string and traverse it one by one from the first character. Determine whether the characters are consecutively within the range of numbers and the special symbol ".". If a Chinese character is encountered or the string is not within the range of numbers and the special symbol ".", then directly exit the traversal logic and take the current character index position as the end position of the extracted investment strategy code. Extract the string from index 0 to the end character index position as the read investment strategy code.

[0116] S1.3 Obtain the prescribed investment strategy content using the investment strategy code and compare it with the investment strategy actually filled in the feasibility study report.

[0117] S2. The investment strategy support data identification and reading module reads project type information;

[0118] Furthermore, the reading of project type information specifically involves:

[0119] S2.1 Define the basic information for the "Project Purpose" field in the dynamic configuration feasibility study report form, including its identifier, data format, and data reading method; the data reading method includes left reading, right reading, and downward reading.

[0120] S2.2 When parsing the feasibility study report form, locate the row and column numbers of the "Project Purpose" field using its key identifier.

[0121] S2.3. Obtain data content through the data reading method defined in the basic information of "Project Purpose" and store it according to the defined data format;

[0122] S3. The data identification and reading module, supported by the investment strategy, reads the supporting material information for load demand.

[0123] Furthermore, the reading of load prediction support material information specifically involves:

[0124] S3.1 Obtain supporting materials for load forecasting and parse the Excel spreadsheet;

[0125] S3.2. Data is cached sequentially from top to bottom, using rows and columns of the Excel sheet.

[0126] S3.3 Configure the basic information definition of the field to be read through dynamic configuration, including key identifier, key identifier of the parent field of the field to be read (from top to bottom), data format, and data reading method; wherein, the key identifier of the parent field of the field to be read is configured from top to bottom; the data reading method includes left reading, right reading, and downward reading;

[0127] S3.4. Based on the key identifier of the parent field (from top to bottom) of the field to be read, lock the row start number and column number range of the field to be read, that is, the start number and the end number;

[0128] S3.5 Based on the results of S3.4, the start and end numbers of the rows and columns of the field to be read are determined according to the key identifier of the field to be read.

[0129] S3.6. Control the end range of the read row and the data cache format according to the dynamically configured data format and data reading method of the field to be read.

[0130] S4. Verification and review are conducted through the investment strategy review module;

[0131] Furthermore, the verification review process specifically involves:

[0132] Determine if the extracted project type information is correct. If not, output "Incorrect investment strategy selection" and end; otherwise, proceed to the next step.

[0133] The system determines whether the submitted materials of the feasibility study include other supporting materials. If so, the system needs to scan and identify whether the user application information in the supporting materials belongs to the capacity increase type and obtain the increase / decrease capacity S0. The scanning and identification specifically involves: reading the text and numerical data on the screenshot of the user application information system through OCR recognition technology, and then extracting key information, including user name, main power category, increase / decrease capacity, total capacity and new application capacity, for subsequent analysis and calculation.

[0134] Add the increase / decrease in capacity S0 to the maximum load P in the feasibility study table to obtain S1, as shown in the following formula:

[0135] S1 = S0 + P

[0136] P = S * N

[0137] Where S0 represents the increase or decrease in capacity; P represents the maximum load in the feasibility study table, and if there are multiple transformers in the current area, the maximum loads are calculated separately and then added together; S represents the transformer area capacity; N represents the maximum load rate, which is obtained by the system.

[0138] Determine whether there exists S1>=S*0.8 and S1>=S*30%+S2. If there exists, and there is supporting material corresponding to the investment strategy, then the investment strategy is considered to be correct; otherwise, the investment strategy is considered to be incorrect.

[0139] S5. Output the investment strategy review results.

[0140] Furthermore, the output investment strategy review results are specifically as follows:

[0141] When the feasibility study supporting materials are complete and the data meets the investment strategy review criteria, the output will be "Investment strategy selection is correct"; when the feasibility study supporting materials are incomplete or the data does not meet the investment strategy review criteria, the output will be "Investment strategy selection is incorrect".

[0142] like Figure 3 As shown, in another embodiment of this application, a storage medium is also provided, storing a program that, when executed by a processor, implements a method for assisting in the review of the rationality of investment strategies for power grid infrastructure projects, specifically:

[0143] Identify the selection criteria for power grid investment strategies using natural language processing algorithms;

[0144] The investment strategy support data identification and reading module reads project type information and supporting material information for load demand;

[0145] Verification and review are conducted through the investment strategy review module;

[0146] Output the investment strategy review results.

[0147] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0148] The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. Any changes, modifications, substitutions, combinations, or simplifications made without departing from the spirit and principle of the present invention shall be considered equivalent substitutions and shall be included within the protection scope of the present invention.

Claims

1. A system for assisting in the review of the rationality of investment strategies in power grid infrastructure projects, characterized in that, It includes an investment strategy selection clause reading module, an investment strategy supporting data identification and reading module, an investment strategy review module, and a result output module; The investment strategy selection clause reading module is used to identify power grid investment strategy selection clauses through natural language processing algorithms. The investment strategy support data identification and reading module is used to read project type information and supporting material information for load requirements; The specific steps for reading the project type information are as follows: The basic information definition of the "Project Purpose" field in the dynamic configuration feasibility study report form includes identifier, data format, and data reading method; among which, the data reading method includes left reading, right reading, and downward reading. When parsing the feasibility study report form, the row and column numbers of the "Project Purpose" field are located by using the key identifier of the "Project Purpose" field. Data content is obtained through the data reading method defined in the basic information of "Project Purpose" and stored according to the defined data format; The specific details of the supporting material information for reading the load requirements are as follows: Obtain supporting materials for load forecasting and parse the Excel spreadsheet; Data is cached sequentially by row and column number from top to bottom in the Excel spreadsheet; The basic information definition of the field to be read is configured dynamically, including the key identifier, the key identifier of the parent field of the field to be read, the data format, and the data reading method; the key identifier of the parent field of the field to be read is configured from top to bottom; the data reading methods include left reading, right reading, and downward reading. Based on the key identifier of the parent field of the field to be read, the range of the row start number and column number of the field to be read is determined, namely the start number and the end number. Based on the key identifier of the field to be read, the range of the row start number and column number of the field to be read is determined, namely the start number and the end number; Based on the dynamically configured data format of the field to be read and the data reading method, control the end range of the read row and the data cache format; The investment strategy review module is used for verification and review. The specific steps for conducting the verification review are as follows: Determine if the extracted project type information is correct. If not, output "Incorrect investment strategy selection" and end; otherwise, proceed to the next step. The system determines whether the submitted materials of the feasibility study include other supporting materials. If so, the system needs to scan and identify whether the user application information in the supporting materials belongs to the capacity increase type and obtain the increase / decrease capacity S0. The scanning and identification specifically involves: reading the text and numerical data on the screenshot of the user application information system through OCR recognition technology, and then extracting key information, including user name, main power category, increase / decrease capacity, total capacity and new application capacity, for subsequent analysis and calculation. Add the increase / decrease in capacity S0 to the maximum load P in the feasibility study table to obtain S1, as shown in the following formula: S1 = S0 + P; P = S*N; Where S0 represents the increase or decrease in capacity; P represents the maximum load in the feasibility study table, and if there are multiple transformers in the current area, the maximum loads are calculated separately and then added together; S represents the transformer area capacity; N represents the maximum load rate, which is obtained by the system. Determine whether there exists S1>=S*0.8 and S1>=S*30%+S2. If there is such a condition and supporting evidence exists, the investment strategy is considered to be correct; otherwise, the investment strategy is considered to be incorrect. The results output module is used to output the investment strategy review results.

2. The auxiliary review system for the rationality of investment strategies in power grid infrastructure projects according to claim 1, characterized in that, The natural language processing algorithm is specifically as follows: Dynamic content extraction is performed using a string matching algorithm based on the provided format template. The investment strategy code is dynamically read using a custom algorithm, as follows: The extracted investment strategy content string is traversed one by one starting from the first character. It is determined whether the characters are consecutively within the range of numbers and special symbols ".". If Chinese characters are encountered or the string is not within the range of numbers and special symbols ".", the traversal logic is skipped and the current character index is taken as the end position of the extracted investment strategy code. The string from index 0 to the end character is extracted as the read investment strategy code. The prescribed investment strategy content is obtained by using the investment strategy code, and then compared with the investment strategy actually filled in the feasibility study report.

3. A method for supplementary review of the rationality of investment strategies in power grid infrastructure projects, characterized in that, Includes the following steps: Identify the selection criteria for power grid investment strategies using natural language processing algorithms; The investment strategy support data identification and reading module reads project type information and supporting material information for load demand; The specific steps for reading the project type information are as follows: The basic information definition of the "Project Purpose" field in the dynamic configuration feasibility study report form includes identifier, data format, and data reading method; among which, the data reading method includes left reading, right reading, and downward reading. When parsing the feasibility study report form, the row and column numbers of the "Project Purpose" field are located by using the key identifier of the "Project Purpose" field. Data content is obtained through the data reading method defined in the basic information of "Project Purpose" and stored according to the defined data format; The specific details of the supporting material information for reading the load requirements are as follows: Obtain supporting materials for load forecasting and parse the Excel spreadsheet; Data is cached sequentially by row and column number from top to bottom in the Excel spreadsheet; The basic information definition of the field to be read is configured dynamically, including the key identifier, the key identifier of the parent field of the row to be read, the data format, and the data reading method; among them, the key identifier of the parent field of the row to be read is configured from top to bottom; the data reading methods include left reading, right reading, and downward reading. Based on the key identifier of the parent field of the field to be read, the range of the row start number and column number of the field to be read is determined, namely the start number and the end number. Based on the key identifier of the field to be read, the range of the row start number and column number of the field to be read is determined, namely the start number and the end number; Based on the dynamically configured data format of the field to be read and the data reading method, control the end range of the read row and the data cache format; Verification and review are conducted through the investment strategy review module; The specific steps for conducting the verification review are as follows: Determine if the extracted project type information is correct. If not, output "Incorrect investment strategy selection" and end; otherwise, proceed to the next step. The system determines whether the submitted materials of the feasibility study include other supporting materials. If so, the system needs to scan and identify whether the user application information in the supporting materials belongs to the capacity increase type and obtain the increase / decrease capacity S0. The scanning and identification specifically involves: reading the text and numerical data on the screenshot of the user application information system through OCR recognition technology, and then extracting key information, including user name, main power category, increase / decrease capacity, total capacity and new application capacity, for subsequent analysis and calculation. Add the increase / decrease in capacity S0 to the maximum load P in the feasibility study table to obtain S1, as shown in the following formula: S1 = S0 + P; P = S*N; Where S0 represents the increase or decrease in capacity; P represents the maximum load in the feasibility study table, and if there are multiple transformers in the current area, the maximum loads are calculated separately and then added together; S represents the transformer area capacity; N represents the maximum load rate, which is obtained by the system. Determine whether there exists S1>=S*0.8 and S1>=S*30%+S2. If there is such a condition and supporting evidence exists, the investment strategy is considered to be correct; otherwise, the investment strategy is considered to be incorrect. Output the investment strategy review results.

4. The method for supplementary review of the rationality of investment strategies in power grid infrastructure projects according to claim 3, characterized in that, The natural language processing algorithm is specifically as follows: Dynamic content extraction is performed using a string matching algorithm based on the provided format template. The investment strategy code is dynamically read using a custom algorithm, as follows: The extracted investment strategy content string is traversed one by one starting from the first character. It is determined whether the characters are consecutively within the range of numbers and special symbols ".". If Chinese characters are encountered or the string is not within the range of numbers and special symbols ".", the traversal logic is skipped and the current character index is taken as the end position of the extracted investment strategy code. The string from index 0 to the end character is extracted as the read investment strategy code. The prescribed investment strategy content is obtained by using the investment strategy code, and then compared with the investment strategy actually filled in the feasibility study report.

5. A storage medium storing a program, characterized in that: When the program is executed by the processor, it implements the method for assisting in the review of the rationality of investment strategies for power grid infrastructure projects as described in any one of claims 3-4.

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