Method and system for managing full life cycle of electronic file for photovoltaic construction

Abstract

The invention is suitable for the technical field of file management, and provides a full-life-cycle management method and system for electronic files for photovoltaic construction, and the method comprises the following steps: determining the coding information of each electronic file based on a file type, a project stage, a region coordinate and an equipment assembly; determining a required metadata field of each electronic file based on the coding information; performing file semantic extraction, and determining a physical entity and dynamic parameter information corresponding to each electronic file; classifying and managing the electronic files based on the physical entities, wherein each category comprises the electronic files corresponding to the life cycle threads of the same physical entity; and automatically updating the dynamic parameter information of the electronic file according to the real-time data of the Internet of Things. The electronic files are classified and managed based on the physical entities, close connection between the electronic files and the physical entities is established, all associated files of the physical entities in the whole life cycle are connected in series on the life cycle thread according to the time sequence, and tracing and auditing are facilitated.

Description

Technical Field

[0001] This invention relates to the field of document management technology, specifically to a method and system for full lifecycle management of electronic documents used in photovoltaic construction. Background Technology

[0002] In the field of photovoltaic (PV) construction, with the continuous expansion of project scale and the increasing level of digitalization, a large number of electronic documents have been generated. These electronic documents cover the entire lifecycle of PV projects, from planning and design to operation and maintenance management, including various documents such as design drawings, procurement contracts, production records, construction reports, and operation and maintenance manuals. Traditional electronic document management methods have many drawbacks. Electronic documents in PV construction are closely related to the actual physical entities, but traditional management has failed to fully establish this correspondence, resulting in a disconnect between documents and the actual project situation. In addition, during project implementation, the relevant parameters of the physical entities change dynamically over time, while the information in the electronic documents cannot be updated in a timely manner, leading to discrepancies between the document data and the actual situation. Regarding document modification management, the lack of effective review mechanisms and credibility assessment methods makes it difficult to judge the rationality of document modifications, posing potential risks to the project. Therefore, there is a need to provide a method and system for the full lifecycle management of electronic documents for PV construction, aiming to solve the above problems. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a method and system for full life cycle management of electronic documents for photovoltaic construction, so as to solve the problems existing in the above-mentioned background technology.

[0004] This invention is implemented as follows: a method for full lifecycle management of electronic documents used in photovoltaic construction, the method comprising the following steps: The encoding information for each electronic document is determined based on document type, project stage, regional coordinates, and device components. The required metadata fields for each electronic document are determined based on the encoding information; Perform semantic extraction of documents to determine the physical entity and dynamic parameter information corresponding to each electronic document; Electronic documents are classified and managed based on physical entities. Each category contains electronic documents corresponding to each lifecycle thread of the same physical entity. Lifecycle threads include design thread, procurement thread, production thread, construction thread, and operation and maintenance thread. Based on real-time data from the Internet of Things, the dynamic parameter information of electronic documents is automatically updated; Identify file modification behavior and determine the credibility of the modification behavior based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review.

[0005] As a further aspect of the present invention, the step of determining the physical entity and dynamic parameter information corresponding to each electronic document specifically includes: The text file is segmented using NLP tools, the image file is subjected to object recognition and text OCR extraction using a computer vision model, and the annotation information of the drawing file is extracted using a parser to obtain the text content. The NER model is used to identify physical entities in the text content and to verify them by association with the corresponding encoded information. Pattern matching is used to capture numerical values ​​and units in text content, extract parameter information, and identify the parameter items and parameter entities associated with the parameter information. Based on the associated parameter items and parameter entities, determine whether the parameter information is dynamic parameter information, and output the verified physical entity and dynamic parameter information.

[0006] As a further aspect of the present invention, the step of classifying and managing electronic documents based on physical entities specifically includes: All electronic documents are classified according to their encoding information and physical entity, and the encoding information and physical entity are the same in the same category; Determine the lifecycle thread to which each electronic document belongs based on the project phase, and archive electronic documents of the same lifecycle thread in each category into the same folder; Lifecycle threads implement role-based access control for each folder, authorizing access for the corresponding staff.

[0007] As a further aspect of the present invention, the step of automatically updating the dynamic parameter information of electronic documents specifically includes: The directly mapped IoT monitoring data is determined based on the parameter items and parameter entities of the dynamic parameter information; When dynamic parameter information cannot be directly mapped to IoT monitoring data, the basic items are determined by logical deduction based on the parameter items, and the indirectly mapped IoT monitoring data is determined based on the basic items. Determine the update cycle for successfully mapped dynamic parameter information, and update the dynamic parameter information in conjunction with the corresponding IoT monitoring data.

[0008] As a further aspect of the present invention, the step of determining whether a modification is credible based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review specifically includes: Capture the operation time, review ID, IP address, modified content difference, and corresponding encoding information of the modification behavior; Determine the project work schedule and phase deadlines based on the coding information, and determine whether the operation time is reasonable; Geofencing is determined based on the coding information, the network environment is checked, and the reasonableness of the operation location is determined based on the IP address. The overall proportion of modifications and the magnitude of numerical modifications are determined based on the differences in the modified content, thus obtaining the modification ratio. The number and level of review nodes are determined based on the modification ratio, and the reasonableness of the modification review is determined in conjunction with the review ID.

[0009] As a further aspect of the present invention, when determining the required metadata fields for each electronic document, the document type and device components are input into the metadata field template library, and the required metadata fields are automatically output.

[0010] Another object of the present invention is to provide a full lifecycle management system for electronic documents used in photovoltaic construction, the system comprising: The encoding information determination module is used to determine the encoding information of each electronic document based on file type, project stage, regional coordinates, and device components. The metadata field completion module is used to determine the required metadata fields for each electronic document based on the encoding information. The document semantic extraction module is used to extract the semantics of documents and determine the physical entity and dynamic parameter information corresponding to each electronic document. The document classification management module is used to classify and manage electronic documents based on physical entities. Each category contains electronic documents corresponding to each lifecycle thread of the same physical entity. The lifecycle threads include design thread, procurement thread, production thread, construction thread, and operation and maintenance thread. The dynamic parameter update module is used to automatically update the dynamic parameter information of electronic documents based on real-time data from the Internet of Things. The file modification monitoring module is used to identify file modification behavior and determine whether the modification behavior is credible based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review.

[0011] As a further aspect of the present invention, the file semantic extraction module includes: The text content recognition unit is used to segment text files using NLP tools, perform object recognition and text OCR extraction on image files using computer vision models, and extract annotation information from drawing files using a parser to obtain text content. The physical entity determination unit is used to identify physical entities in text content using the NER model and to verify them by association with the corresponding encoded information; The parameter information extraction unit is used to capture numerical values ​​and units in text content using pattern matching, extract parameter information, and identify the parameter items and parameter entities associated with the parameter information. The dynamic parameter determination unit is used to determine whether the parameter information is dynamic parameter information based on the associated parameter items and parameter entities, and outputs the verified physical entity and dynamic parameter information.

[0012] As a further aspect of the present invention, the file classification management module includes: The electronic document classification unit is used to classify all electronic documents according to their encoding information and physical entity. The encoding information and physical entity are the same in the same category. The file thread determination unit is used to determine the lifecycle thread to which each electronic file belongs based on the project stage, and to archive electronic files of the same lifecycle thread in each category into the same folder. The access authorization control unit is used to implement role-based access control for each folder based on a lifecycle thread, and to authorize access for the corresponding staff.

[0013] As a further aspect of the present invention, the dynamic parameter update module includes: The direct mapping determination unit is used to determine the IoT monitoring data for direct mapping based on the parameter items and parameter entities of the dynamic parameter information. The indirect mapping determination unit is used to determine the basic items based on the parameter items when the dynamic parameter information cannot be directly mapped to the IoT monitoring data, and then determine the indirectly mapped IoT monitoring data based on the basic items. The dynamic parameter update unit is used to determine the update cycle of the successfully mapped dynamic parameter information and update the dynamic parameter information in combination with the corresponding IoT monitoring data.

[0014] Compared with the prior art, the beneficial effects of the present invention are: This invention determines the mandatory metadata fields for each electronic document based on encoded information, ensuring the integrity and accuracy of the document's metadata information. It performs semantic extraction to identify the physical entity and dynamic parameter information corresponding to each electronic document, and classifies and manages the electronic documents based on the physical entity. Electronic documents corresponding to the same physical entity across different lifecycle threads are grouped together, establishing a close link between electronic documents and the actual physical entity. Furthermore, the lifecycle threads sequentially link all related files of the physical entity throughout its entire lifecycle, facilitating traceability and auditing. The invention automatically updates the dynamic parameter information of electronic documents, ensuring that the data in the electronic documents remains consistent with the parameters of the actual physical entity, improving the timeliness and accuracy of the documents. It identifies document modification behavior and determines the credibility of the modification behavior based on the reasonableness of the operation time, location, and review process, establishing an effective document modification review mechanism to ensure the authenticity and reliability of the documents. Attached Figure Description

[0015] Figure 1 This is a flowchart of a method for managing the entire lifecycle of electronic documents used in photovoltaic construction.

[0016] Figure 2 This is a flowchart for determining dynamic parameter information in a method for full lifecycle management of electronic documents used in photovoltaic construction.

[0017] Figure 3 This is a flowchart illustrating the classification management of electronic documents used in photovoltaic construction throughout their entire lifecycle.

[0018] Figure 4 This is a flowchart illustrating the updating of dynamic parameter information in a method for managing the entire lifecycle of electronic documents used in photovoltaic construction.

[0019] Figure 5 This is a flowchart for determining the credibility of modification behavior in a method for full lifecycle management of electronic documents used in photovoltaic construction.

[0020] Figure 6 This is a schematic diagram of the structure of an electronic document lifecycle management system for photovoltaic construction. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0022] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0023] like Figure 1 As shown in the figure, this invention provides a method for full lifecycle management of electronic documents used in photovoltaic construction, the method comprising the following steps: S100 determines the encoding information of each electronic document based on document type, project stage, area coordinates, and device components; S200 determines the mandatory metadata fields for each electronic document based on the encoding information; S300 performs document semantic extraction to determine the physical entity and dynamic parameter information corresponding to each electronic document; S400 classifies and manages electronic documents based on physical entities, with each category containing electronic documents corresponding to each lifecycle thread of the same physical entity; The S500 automatically updates the dynamic parameter information of electronic documents based on real-time data from the Internet of Things. S600 identifies file modification behavior and determines whether the modification behavior is credible based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review.

[0024] In this embodiment of the invention, the encoding information of each electronic file is first determined based on the file type, the project stage to which the file belongs, the regional coordinates of the project location, and the device components. The encoding rules need to be predetermined, thus solving the problem of inconsistent and non-standard file encoding in traditional management methods, making the file encoding identifiable and facilitating rapid file retrieval and management. Then, the required metadata fields for each electronic file are determined based on the encoding information. Specifically, the file type and device components in the encoding information are input into a metadata field template library, which automatically outputs the required metadata fields. This metadata field template library is pre-established, with each file type and each device component corresponding to a specific metadata field, ensuring the completeness and accuracy of the file metadata information. It comprehensively describes the key attributes and relationships of the file, providing strong support for the classification management and effective utilization of files. Next, semantic extraction of the documents is performed to determine the physical entity and dynamic parameter information corresponding to each electronic document. Subsequently, the electronic documents are categorized and managed according to the physical entity. Each category contains electronic documents corresponding to each lifecycle thread of the same physical entity. These lifecycle threads include design, procurement, production, construction, and operation and maintenance threads. This establishes a close link between electronic documents and the actual physical entity, enabling the documents to better reflect the actual project situation. Furthermore, the lifecycle threads sequentially link all related documents of the physical entity throughout its entire lifecycle, facilitating traceability and auditing. In addition, numerous sensors are deployed during photovoltaic construction and subsequent maintenance. These sensors upload data in real time via the Internet of Things (IoT), automatically updating the dynamic parameter information of the electronic documents. This ensures that the data in the electronic documents remains consistent with the parameters of the actual physical entity, improving the timeliness and accuracy of the documents. Furthermore, document modification behavior is identified. Based on the reasonableness of the operation time, location, and review process, the credibility of the modification behavior is determined, establishing an effective document modification review mechanism. This mechanism can promptly detect and prevent malicious tampering of documents, ensuring their authenticity and reliability.

[0025] like Figure 2 As shown, in a preferred embodiment of the present invention, the step of determining the physical entity and dynamic parameter information corresponding to each electronic document specifically includes: S301 uses NLP tools to segment text files, uses computer vision models to perform object recognition and text OCR extraction on image files, and uses a parser to extract annotation information from drawing files to obtain text content. S302, use the NER model to identify physical entities in the text content and verify them by association with the corresponding encoded information; S303 uses pattern matching to capture numerical values ​​and units in text content, extracts parameter information, and identifies parameter items and parameter entities associated with the parameter information. S304, determine whether the parameter information is dynamic parameter information based on the associated parameter items and parameter entities, and output the verified physical entity and dynamic parameter information.

[0026] In this embodiment of the invention, during semantic extraction, for text files, NLP tools (such as Spacy or Stanford NLP) are used for word segmentation and syntactic analysis; for image files, computer vision models (such as YOLO or ResNet) are applied for object recognition and text OCR extraction; for drawing files (such as CAD), a specific parser (such as AutoCAD API) is used to extract annotations and other information, thus obtaining the text content of all files. Then, a NER model is used to identify physical entities in the text content. Physical entities are identified as device entities, and their association with corresponding encoded information is verified. That is, the physical entity must belong to the corresponding device component for successful verification. Next, pattern matching (such as regular expressions) is used to capture numerical values ​​and units in the text content, extract parameter information, identify the parameter items and parameter entities associated with the parameter information, and then determine whether the parameter information is dynamic parameter information based on the associated parameter items and parameter entities. Here, it is necessary to classify all parameter items beforehand to determine which are dynamic parameter information and which are static parameter information.

[0027] like Figure 3 As shown in the preferred embodiment of the present invention, the step of classifying and managing electronic documents based on physical entities specifically includes: S401, classify all electronic documents according to their encoding information and physical entity, with the encoding information and physical entity being the same in the same category; S402, determine the lifecycle thread to which each electronic document belongs based on the project stage, and archive electronic documents of the same lifecycle thread in each category into the same folder; S403 implements role-based access control for each folder based on lifecycle threads, and authorizes access for the corresponding staff.

[0028] In this embodiment of the invention, after classifying all electronic files according to encoding information and physical entities, the lifecycle thread to which each electronic file belongs is determined based on the project stage. The design thread, procurement thread, production thread, construction thread, and operation and maintenance thread each correspond to their respective project stages. Five folders are created within each category, and electronic files from the same lifecycle thread are archived in the same folder. Finally, role-based access control is implemented for each folder based on the lifecycle thread, authorizing access for corresponding personnel to ensure that users can only access files of authorized entities; for example, operation and maintenance personnel can only access files in the operation and maintenance thread.

[0029] like Figure 4 As shown, in a preferred embodiment of the present invention, the step of automatically updating the dynamic parameter information of the electronic document specifically includes: S501, determine the directly mapped IoT monitoring data based on the parameter items and parameter entities of the dynamic parameter information; S502, When dynamic parameter information cannot be directly mapped to IoT monitoring data, the basic items are determined by logical deduction based on the parameter items, and the indirectly mapped IoT monitoring data is determined based on the basic items. S503, determine the update cycle of the successfully mapped dynamic parameter information, and update the dynamic parameter information in combination with the corresponding IoT monitoring data.

[0030] In this embodiment of the invention, an IoT platform is established, containing all IoT monitoring data. This embodiment determines the directly mapped IoT monitoring data based on the parameter items and parameter entities of the dynamic parameter information. It is easy to understand that some dynamic parameter information may not have directly corresponding IoT monitoring data. In this case, logical deduction is performed based on the parameter items to determine the basic items. The parameter item can be obtained through several basic items. For example, a photovoltaic inverter connects to multiple strings, each string has a sensor monitoring its output current. In the inverter's technical documentation, its total input current needs to be recorded. This total input current parameter item can be obtained from the input current of each string. The input current of each string is the basic item, and the indirectly mapped IoT monitoring data is determined based on the basic items. Finally, the update cycle of the successfully mapped dynamic parameter information is determined. The update cycle can be determined based on the parameter items and updated in conjunction with the corresponding IoT monitoring data.

[0031] like Figure 5 As shown, in a preferred embodiment of the present invention, the step of determining whether a modification is credible based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review specifically includes: S601 captures the operation time, audit ID, IP address, modified content difference, and corresponding encoding information of the modification behavior; S602, determine the project work schedule and phase deadlines based on the coding information, and determine whether the operation time is reasonable; S603 determines the geofence based on the encoding information, checks the network environment, and determines whether the operation location is reasonable based on the IP address; S604, determine the overall modification percentage and the magnitude of numerical modification based on the difference in the modified content, and obtain the modification ratio; S605 determines the number and level of review nodes based on the modification ratio, and determines whether the modification review is reasonable based on the review ID.

[0032] In this embodiment of the invention, when a file is manually modified, the system captures the operation time, review ID, IP address, modification content difference, and the corresponding file's encoding information. Modification content difference refers to comparing the differences between two versions of the file before and after modification, accurately identifying and extracting these differences. It not only knows that the file has been modified, but also where it was modified and what specific content was modified. Then, based on the encoding information, the system determines the corresponding project work schedule and project phase deadlines. If the operation time exceeds the project work schedule or phase deadline, it is considered unreasonable. Next, based on the encoding information, the system determines the geofence of the corresponding project and checks the network environment to ensure the operation originates from the company's VPN or secure network. If the IP address exceeds the geofence, the operation location is unreasonable. Finally, based on the modification content difference, the system determines the overall modification percentage and the numerical modification magnitude. The overall modification percentage refers to the ratio of modified content to all content. The numerical modification magnitude refers to the magnitude of change after the value is modified compared to its previous value. When multiple values ​​are modified, the one with the largest magnitude is taken, and the modification ratio is calculated as: Modification Ratio = K1 * Overall Modification Ratio + K2 * Numerical Modification Magnitude. Finally, the number and level of review nodes are determined based on the modification ratio. A higher modification ratio results in more review nodes and a higher review node level. This correspondence needs to be established in advance. Each review ID is labeled with its level. By combining these review IDs, the reasonableness of the modification review can be determined. A modification is considered credible only if the operation time, location, and review process are all reasonable.

[0033] like Figure 6 As shown in the figure, this embodiment of the invention also provides a full lifecycle management system for electronic documents used in photovoltaic construction, the system comprising: The encoding information determination module 100 is used to determine the encoding information of each electronic document based on the file type, project stage, area coordinates, and device components. Metadata field completion module 200 is used to determine the required metadata fields for each electronic document based on the encoding information; The document semantic extraction module 300 is used to extract the semantics of documents and determine the physical entity and dynamic parameter information corresponding to each electronic document. The document classification management module 400 is used to classify and manage electronic documents based on physical entities. Each category contains electronic documents corresponding to each lifecycle thread of the same physical entity. The lifecycle threads include design thread, procurement thread, production thread, construction thread, and operation and maintenance thread. The dynamic parameter update module 500 is used to automatically update the dynamic parameter information of electronic documents based on real-time data from the Internet of Things. The file modification monitoring module 600 is used to identify file modification behavior and determine whether the modification behavior is credible based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review.

[0034] In a preferred embodiment of the present invention, the document semantic extraction module 300 includes: The text content recognition unit is used to segment text files using NLP tools, perform object recognition and text OCR extraction on image files using computer vision models, and extract annotation information from drawing files using a parser to obtain text content. The physical entity determination unit is used to identify physical entities in text content using the NER model and to verify them by association with the corresponding encoded information; The parameter information extraction unit is used to capture numerical values ​​and units in text content using pattern matching, extract parameter information, and identify the parameter items and parameter entities associated with the parameter information. The dynamic parameter determination unit is used to determine whether the parameter information is dynamic parameter information based on the associated parameter items and parameter entities, and outputs the verified physical entity and dynamic parameter information.

[0035] In a preferred embodiment of the present invention, the file classification management module 400 includes: The electronic document classification unit is used to classify all electronic documents according to their encoding information and physical entity. The encoding information and physical entity are the same in the same category. The file thread determination unit is used to determine the lifecycle thread to which each electronic file belongs based on the project stage, and to archive electronic files of the same lifecycle thread in each category into the same folder. The access authorization control unit is used to implement role-based access control for each folder based on a lifecycle thread, and to authorize access for the corresponding staff.

[0036] In a preferred embodiment of the present invention, the dynamic parameter update module 500 includes: The direct mapping determination unit is used to determine the IoT monitoring data for direct mapping based on the parameter items and parameter entities of the dynamic parameter information. The indirect mapping determination unit is used to determine the basic items based on the parameter items when the dynamic parameter information cannot be directly mapped to the IoT monitoring data, and then determine the indirectly mapped IoT monitoring data based on the basic items. The dynamic parameter update unit is used to determine the update cycle of the successfully mapped dynamic parameter information and update the dynamic parameter information in combination with the corresponding IoT monitoring data.

[0037] The above description only details the preferred embodiments of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0038] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0039] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0040] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the disclosure in the specification and embodiments. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.

Claims

1. A method for full lifecycle management of electronic documents used in photovoltaic construction, characterized in that, The method includes the following steps: The encoding information for each electronic document is determined based on document type, project stage, regional coordinates, and device components. The required metadata fields for each electronic document are determined based on the encoding information; Perform semantic extraction of documents to determine the physical entity and dynamic parameter information corresponding to each electronic document; Electronic documents are classified and managed based on physical entities. Each category contains electronic documents corresponding to each lifecycle thread of the same physical entity. Lifecycle threads include design thread, procurement thread, production thread, construction thread, and operation and maintenance thread. Based on real-time data from the Internet of Things, the dynamic parameter information of electronic documents is automatically updated; Identify file modification behavior and determine the credibility of the modification behavior based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review.

2. The method for full lifecycle management of electronic documents for photovoltaic construction according to claim 1, characterized in that, The steps for determining the physical entity and dynamic parameter information corresponding to each electronic document specifically include: The text file is segmented using NLP tools, the image file is subjected to object recognition and text OCR extraction using a computer vision model, and the annotation information of the drawing file is extracted using a parser to obtain the text content. The NER model is used to identify physical entities in the text content and to verify them by association with the corresponding encoded information. Pattern matching is used to capture numerical values ​​and units in text content, extract parameter information, and identify the parameter items and parameter entities associated with the parameter information. Based on the associated parameter items and parameter entities, determine whether the parameter information is dynamic parameter information, and output the verified physical entity and dynamic parameter information.

3. The method for full lifecycle management of electronic documents for photovoltaic construction according to claim 1, characterized in that, The steps for classifying and managing electronic documents based on physical entities specifically include: All electronic documents are classified according to their encoding information and physical entity, and the encoding information and physical entity are the same in the same category; Determine the lifecycle thread to which each electronic document belongs based on the project phase, and archive electronic documents of the same lifecycle thread in each category into the same folder; Lifecycle threads implement role-based access control for each folder, authorizing access for the corresponding staff.

4. The method for full lifecycle management of electronic documents for photovoltaic construction according to claim 2, characterized in that, The step of automatically updating the dynamic parameter information of electronic documents specifically includes: The directly mapped IoT monitoring data is determined based on the parameter items and parameter entities of the dynamic parameter information; When dynamic parameter information cannot be directly mapped to IoT monitoring data, the basic items are determined by logical deduction based on the parameter items, and the indirectly mapped IoT monitoring data is determined based on the basic items. Determine the update cycle for successfully mapped dynamic parameter information, and update the dynamic parameter information in conjunction with the corresponding IoT monitoring data.

5. The method for full lifecycle management of electronic documents for photovoltaic construction according to claim 1, characterized in that, The steps for determining the credibility of a modification based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review include: Capture the operation time, review ID, IP address, modified content difference, and corresponding encoding information of the modification behavior; Determine the project work schedule and phase deadlines based on the coding information, and determine whether the operation time is reasonable; Geofencing is determined based on the coding information, the network environment is checked, and the reasonableness of the operation location is determined based on the IP address. The overall proportion of modifications and the magnitude of numerical modifications are determined based on the differences in the modified content, thus obtaining the modification ratio. The number and level of review nodes are determined based on the modification ratio, and the reasonableness of the modification review is determined in conjunction with the review ID.

6. The method for full lifecycle management of electronic documents for photovoltaic construction according to claim 1, characterized in that, When determining the required metadata fields for each electronic document, input the document type and device components into the metadata field template library, and the required metadata fields will be automatically output.

7. A full lifecycle management system for electronic documents used in photovoltaic construction, characterized in that, The system includes: The encoding information determination module is used to determine the encoding information of each electronic document based on file type, project stage, regional coordinates, and device components. The metadata field completion module is used to determine the required metadata fields for each electronic document based on the encoding information. The document semantic extraction module is used to extract the semantics of documents and determine the physical entity and dynamic parameter information corresponding to each electronic document. The document classification management module is used to classify and manage electronic documents based on physical entities. Each category contains electronic documents corresponding to each lifecycle thread of the same physical entity. The lifecycle threads include design thread, procurement thread, production thread, construction thread, and operation and maintenance thread. The dynamic parameter update module is used to automatically update the dynamic parameter information of electronic documents based on real-time data from the Internet of Things. The file modification monitoring module is used to identify file modification behavior and determine whether the modification behavior is credible based on the reasonableness of the operation time, the reasonableness of the operation location, and the reasonableness of the modification review.

8. The full lifecycle management system for electronic documents used in photovoltaic construction according to claim 7, characterized in that, The document semantic extraction module includes: The text content recognition unit is used to segment text files using NLP tools, perform object recognition and text OCR extraction on image files using computer vision models, and extract annotation information from drawing files using a parser to obtain text content. The physical entity determination unit is used to identify physical entities in text content using the NER model and to verify them by association with the corresponding encoded information; The parameter information extraction unit is used to capture numerical values ​​and units in text content using pattern matching, extract parameter information, and identify the parameter items and parameter entities associated with the parameter information. The dynamic parameter determination unit is used to determine whether the parameter information is dynamic parameter information based on the associated parameter items and parameter entities, and outputs the verified physical entity and dynamic parameter information.

9. The full lifecycle management system for electronic documents used in photovoltaic construction according to claim 7, characterized in that, The file classification management module includes: The electronic document classification unit is used to classify all electronic documents according to their encoding information and physical entity. The encoding information and physical entity are the same in the same category. The file thread determination unit is used to determine the lifecycle thread to which each electronic file belongs based on the project stage, and to archive electronic files of the same lifecycle thread in each category into the same folder. The access authorization control unit is used to implement role-based access control for each folder based on a lifecycle thread, and to authorize access for the corresponding staff.

10. The full lifecycle management system for electronic documents used in photovoltaic construction according to claim 8, characterized in that, The dynamic parameter update module includes: The direct mapping determination unit is used to determine the IoT monitoring data for direct mapping based on the parameter items and parameter entities of the dynamic parameter information. The indirect mapping determination unit is used to determine the basic items based on the parameter items when the dynamic parameter information cannot be directly mapped to the IoT monitoring data, and then determine the indirectly mapped IoT monitoring data based on the basic items. The dynamic parameter update unit is used to determine the update cycle of the successfully mapped dynamic parameter information and update the dynamic parameter information in combination with the corresponding IoT monitoring data.

Images