Multi-reactor nuclear power station knowledge management intelligent platform and method based on block chain technology

Abstract

The invention belongs to the field of information technology and nuclear power engineering management cross technology, and particularly relates to a multi-reactor nuclear power station knowledge management intelligent platform and method based on a block chain technology. Comprising a cloud computing and big data driven knowledge storage integration module which is a function block shared by all block chain nodes on a chain; the block chain enabled decentralized collaborative network comprises a multi-node trust mechanism module and an intelligent contract rule base; the intelligent knowledge management module driven by artificial intelligence comprises an intelligent knowledge pushing module, an intelligent editing and research system and an active pushing and synchronous updating module; an Internet of Things and edge computing integration module; and a one-key copy block chain node regeneration module. The method is used for realizing knowledge integration, resource sharing, risk management and control and efficient cooperation in the global strategy of the nuclear power project.

Description

Technical Field

[0001] This invention belongs to the interdisciplinary field of information technology and nuclear power engineering management, specifically involving a smart platform and method for knowledge management of multi-reactor nuclear power plants based on blockchain technology, which is used to realize knowledge integration, resource sharing, risk control and efficient collaboration in the globalization strategy of nuclear power projects. Background Technology

[0002] The limitations of existing technical solutions are manifested in the following ways: traditional knowledge management systems rely on a single database, making it difficult to support dynamic expansion across multiple projects; blockchain technology is primarily used in the financial sector and has not been deeply integrated with nuclear power engineering knowledge management; the application of artificial intelligence in knowledge management is limited to retrieval, lacking proactive push and dynamic update capabilities; large-scale models are not applied in knowledge management, preventing automatic knowledge graph generation and updates, and automatic push notifications based on user profiles. Different power plants manage their own knowledge separately, creating knowledge silos and hindering knowledge sharing between power plants, companies, and industries. The integration of positions, business processes, equipment, processes, and data within power plants is weak, preventing the realization of tacit knowledge becoming explicit, explicit knowledge becoming systematized, system knowledge becoming visualized, visible knowledge becoming contextualized, contextual knowledge becoming intelligent, and intelligent knowledge becoming smart. Knowledge management is fragmented: knowledge generated throughout the entire lifecycle of nuclear power projects—site selection, design, construction, operation and maintenance, and decommissioning—such as experience, technical data, and risk mitigation solutions, is scattered across various stages, making cross-project reuse difficult. Traditional knowledge management platforms manage fragmented knowledge and cannot achieve sustainable, cyclical upgrades. Inefficient Knowledge Management: Traditional knowledge management models rely on manual hierarchical transmission, leading to issues such as version confusion, poor timeliness, and difficulties in cross-time zone collaboration, impacting project progress and quality. Insufficient Resource Integration: When large corporations have multiple projects running concurrently, resources such as equipment, talent, positions, and experience are difficult to replicate quickly through standardization, resulting in redundant investment and wasted costs. Numerous barriers exist to making tacit knowledge explicit and integrating it, hindering knowledge sharing and application, and limiting its value realization. Traditional knowledge resources cannot achieve precise indexing and lack integrated management of knowledge metadata, limiting the direct role of knowledge resources as production materials in industrial technology upgrading, process optimization, and product iteration. Lack of Security and Trust: In international projects, cross-regional data sharing carries the risk of tampering, lacking a decentralized and trusted data exchange mechanism.

[0003] The relevant technical terms are as follows: A blockchain consortium refers to a joint organization of nuclear power plant operators, design units, construction units, and other related entities in the nuclear power industry. This organization, through contracts, clarifies the obligations and rights of uploading and sharing data on the blockchain to achieve knowledge sharing. A blockchain node refers to a distributed knowledge management system on the blockchain operated by units within the consortium. This system uses a unified mechanism with the entire blockchain for knowledge definition, data structure, and sharing mechanisms, but employs independent technologies for time synchronization, encryption, and traceability management.

[0004] On the website of the State Intellectual Property Office, searching for the keywords "blockchain + nuclear power + multi-reactor type + knowledge management" yielded no relevant results. Searching for "group-based and knowledge management" also yielded no results. Searching for "blockchain knowledge management" yielded 26 results. Among them, publication number CN120106200A, "A Method for Constructing a Knowledge Graph Based on Data Assets," describes the identification of data assets and the creation of a knowledge graph, explaining a general knowledge management process. However, it has no reference value for knowledge management of multi-reactor type and multi-project nuclear power plants and does not utilize blockchain technology. Publication number CN120013627A, "A Personalized Customer Service Method and System Based on Distributed Intelligent Knowledge Management," is a personalized customer service method and system based on distributed intelligent knowledge management. It relates to the field of customer service technology, involving multimodal sentiment analysis and question classification based on pre-processed customer request data to construct a dynamic knowledge graph and perform knowledge graph queries. This patent application describes a method for analyzing and constructing demand queries based on user needs, but it does not involve nuclear power plant knowledge management, especially multi-reactor type and multi-project nuclear power group-based knowledge management, and technically does not utilize blockchain technology to achieve knowledge sharing in the nuclear power industry. Patent CN119444092A, "An Online Knowledge Base Platform and Business Model for Ensuring Knowledge Content Quality and Contributor Rights," is an application patent for blockchain technology and does not involve knowledge management-related technologies or content. Patent CN118779382A, "A Blockchain-Based Distributed Knowledge Tag Management System," is a patent for tag management, not complete knowledge management. It utilizes distributed storage and access control to achieve data immutability. This patent application fails to achieve secure knowledge sharing across multiple reactor types and projects, both in terms of knowledge management and blockchain technology application, and in terms of its scope of application. Patent CN118503332A, "A Blockchain-Based Knowledge Management Method, Terminal, and Server," is a patent for server partitioning management. The other 21 applications cover areas such as robots and customer management, none of which cover the application of blockchain technology to achieve secure and intelligent sharing of knowledge resources across multiple reactor types and projects in nuclear power projects. Summary of the Invention

[0005] The purpose of this invention is to provide a smart platform and method for knowledge management of multi-reactor nuclear power plants based on blockchain technology, so as to realize the secure sharing of knowledge within the blockchain alliance.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] A blockchain-based intelligent knowledge management platform for multi-reactor nuclear power plants includes: a knowledge storage integration module driven by cloud computing and big data (a shared functional block for all blockchain nodes); a blockchain-enabled decentralized collaboration network including a multi-node trust mechanism module and a smart contract rule base; an AI-driven intelligent knowledge management module including an intelligent knowledge push module, an intelligent compilation system, and an active push and synchronous update module; an IoT and edge computing integration module; and a one-click copy blockchain node regeneration module.

[0008] The knowledge storage integration module driven by cloud computing and big data includes a knowledge acquisition module, a multi-source knowledge alignment and fusion module, a knowledge classification and standardization module, a dynamic knowledge graph drawing module, a personalized display function module, and a cross-node knowledge question and answer module.

[0009] The knowledge acquisition module is a mechanism for acquiring and transmitting knowledge that all block nodes on the chain adhere to. It has the functions of authorizing users to input, import, and download knowledge on the blockchain, as well as the ability to transmit knowledge through the online system and acquire knowledge through devices connected via the Internet of Things.

[0010] Multi-source knowledge alignment and fusion module: This is a knowledge fusion mechanism that all blockchain nodes on the chain adhere to. For knowledge generated within the same unit and acquired through the chain, each blockchain node compares the on-chain knowledge with the unified dictionary to perform identification, disambiguation, fusion, alignment, and extraction to achieve knowledge standardization. It also assigns systematic coding to the knowledge according to unified rules and assigns minimal metadata to each piece of knowledge according to unified rules, enabling computers to accurately identify and calculate. Duplicate knowledge is automatically eliminated through comparison technology.

[0011] The knowledge classification standardization module is a knowledge classification mechanism that all blockchains adhere to. Each blockchain node stores knowledge obtained from multiple sources in at least two levels. The first level is classified according to people, positions, equipment, systems, tools, documents, and activities. Each category of knowledge is further classified according to the applicable unit, forming unit-specific knowledge, power plant general knowledge, reactor type general knowledge, same power plant general knowledge, same reactor type general knowledge, and nuclear power plant general knowledge, which are stored separately.

[0012] Dynamic Knowledge Graph Drawing Module: Using blockchain nodes to store knowledge as a corpus, it makes implicit knowledge explicit through natural language processing, designing graph drawing rules, and machine learning models, forming a knowledge graph with people, positions, equipment, systems, and activities as nodes. It also constructs a three-dimensional digital master model through the knowledge graph, supporting cross-project semantic retrieval and intelligent recommendation.

[0013] Personalized display module: Different blockchain nodes can customize the display of the knowledge they wish to show, including the unit knowledge of the unit owned by the node, the common knowledge of the reactor type of the power plant, and the common knowledge of the nuclear power plant.

[0014] The cross-node knowledge Q&A module features expert tags in its user profile design. Users with expert tags act as knowledge experts on the user platform, performing knowledge alignment, judgment, and answering knowledge questions on the blockchain. Through knowledge Q&A, implicit knowledge is made explicit and knowledge is recreated. Scores are assigned to the frequency of asking questions, answering questions, and the citation of answers. These scores serve as evaluation factors for expert upgrades and as incentive reference indicators.

[0015] Multi-node trust mechanism module: Each project acts as an independent blockchain node. Data is stored locally through unified rules, and trusted and secure sharing of on-chain knowledge is achieved through encryption technology and smart contracts, using unified length hash values, asymmetric encryption, and efficient verification technology.

[0016] Smart contract rule base: Independent time authorization, definition document modification permissions, version synchronization rules and data access permissions, ensuring on-demand allocation and immutability.

[0017] Intelligent knowledge push module: Based on the knowledge graph of people or positions, new knowledge will be added within the block according to talent profiles and job profiles, as well as the threshold of the number of times users search for relevant knowledge, to achieve proactive, intelligent and accurate push; on the blockchain, according to the scope of application of knowledge and the blockchain authorization mechanism, it will be proactively pushed and automatically downloaded to the corresponding location of the corresponding blockchain node, realizing intelligent management and proactive service of knowledge.

[0018] Intelligent compilation and research system: Based on configuration rules, expandable formulaic instructions and large model learning, it automatically identifies metadata designed in a standard way, and realizes fully intelligent or semi-intelligent document classification, thematic compilation and research and other forms of knowledge application.

[0019] Proactive push and synchronous update module: Based on user roles and project stages, it pushes relevant knowledge to designated terminals in real time and automatically replaces the old version when the knowledge changes.

[0020] IoT and edge computing integration module: Real-time data collection of on-site equipment status, construction progress, power plant robots, and smart construction sites through sensors and edge devices, and linkage with the knowledge management system to update the knowledge base, supporting dynamic risk warning and decision optimization.

[0021] One-click copy blockchain node regeneration module: Data and architecture have the function of one-click copy and generation of independent sub-models. Before starting heap-type research, construction and operation activities, a new independent sub-model is formed through the one-click copy mechanism. Data and architecture are copied in accordance with the blockchain contract mechanism to realize data copying and blockchain node construction.

[0022] A smart method for knowledge management of multi-reactor nuclear power plants based on blockchain technology: Step 1: Nuclear power-related enterprises establish a blockchain alliance, agreeing on the on-chain knowledge and the responsibilities and obligations of each party through a contractual mechanism; Step 2: Establish on-chain knowledge standards and classification standards, including unit-specific knowledge classifications and shared nuclear power knowledge classifications; Step 3: Apply technologies such as large-scale models, artificial intelligence, and digital twins to dynamically construct a knowledge graph of people, equipment, documents, and activities, as well as a master 3D digital model; Step 4: Acquire knowledge, knowledge maps, and master 3D digital models to blockchain nodes through on-chain download and push methods, forming the knowledge map and master 3D digital model of this blockchain node; Step 5: Practice activity plans using the 3D digital model to achieve experience sharing, process optimization, risk avoidance, and improved efficiency; Step 6: Copy the node's knowledge management structure and data with one click to build a new blockchain node, enabling rapid copying of project knowledge and facilitating rapid project launch.

[0023] For rapid startup of new projects: Equipment localization is achieved by calling the master 3D digital equipment model from the blockchain; independent sub-models are generated based on the new project's personnel, stack type, and geographical location by calling the master 3D digital power plant model from the blockchain; new blockchain alliance users or new projects are added to the group's collaborative network and automatically inherit the master smart contract rules; standardized document templates and historical experience cases are proactively pushed to user terminals based on project design, procurement, construction, commissioning, and production; during the power plant operation phase, data AI collection and integrated calculation are implemented to provide early warning of risks, optimize decision-making, and achieve unmanned production.

[0024] For cross-project experience feedback: Project A discovers a risk in the installation of a certain device, generates an experience report through the intelligent compilation system and uploads it to the blockchain network; the smart contract is automatically triggered to encrypt and push the report to the designated terminal of Project B of the same type; after Project B's terminal decrypts the report, it automatically updates the local knowledge base and triggers an alert.

[0025] The beneficial effects achieved by this invention are as follows:

[0026] This invention discloses a smart knowledge management platform and method for the entire lifecycle of nuclear power plants based on cloud computing, blockchain, and artificial intelligence. By constructing a standardized three-dimensional digital power plant master model, it supports rapid replication and personalized adaptation for new projects; by utilizing blockchain technology to achieve decentralized and trusted collaboration, it ensures secure data sharing across projects; and by combining artificial intelligence and Internet of Things technologies, it enables the explicit expression of tacit knowledge, centralized calculation of data collected by AI tools, intelligent compilation and research of documents, and automatic and accurate push notifications, significantly improving the management efficiency and risk control capabilities of global projects of nuclear power groups.

[0027] Multi-technology integration architecture: For the first time, this architecture combines the decentralized trust mechanism of blockchain with nuclear power knowledge management, achieving global multi-reactor, multi-project management with standardized design and personalized adaptation. Dynamic knowledge graph construction: Through continuous optimization of the process of making tacit knowledge explicit using a large model, a self-learning nuclear power full lifecycle knowledge base is formed. Cross-plant experience feedback: Real-time sharing of experience feedback within the blockchain enables experience sharing and risk avoidance. Decentralized smart contracts: A P2P network-based authorityless trust allocation system is proposed, supporting efficient cross-project and cross-regional collaboration while ensuring data security. Intelligent compilation and proactive push: The introduction of configuration matrix and user profiling technologies breaks through the passive response mode of traditional knowledge management, achieving precise and automated services; customized rules enable specialized knowledge acquisition services for training and research projects. Automatic integration of auxiliary tools: Integrated calculation of data collected by power plant AI tools enables dynamic risk warning and decision optimization for power plants. Efficiency Improvement: New project startup cycle shortened by 40%, document retrieval efficiency increased by 85%; Cost Reduction: Resource reuse rate increased by 70%, repetitive manpower input reduced by 70%; Risk Controllable: Human error rate reduced by 80% through real-time knowledge sharing; Global Support: Supports 24 / 7 cross-time zone collaboration to meet the needs of global strategic international projects. Attached Figure Description

[0028] Figure 1 Architecture and functional diagram of a blockchain-based intelligent platform for knowledge management in multi-reactor nuclear power plants;

[0029] Figure 2 This diagram illustrates the use of a smart method for knowledge management in multi-reactor nuclear power plants based on blockchain technology. Detailed Implementation

[0030] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0031] like Figure 1 As shown, the intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology includes:

[0032] I. Cloud Computing and Big Data-Driven Knowledge Storage Integration Module: This is a shared functional block for all blockchain nodes on the chain. It includes:

[0033] The knowledge acquisition module is a mechanism for acquiring and transmitting knowledge that all block nodes on the blockchain adhere to. It has the ability for authorized users to input, import, and download knowledge onto the blockchain, as well as the ability to transmit knowledge online and acquire knowledge through devices connected via IoT technology.

[0034] The multi-source knowledge alignment and fusion module is a knowledge fusion mechanism jointly followed by all blockchain nodes on the chain. For knowledge generated within the organization and acquired through on-chain methods, each blockchain node, according to a unified dictionary, compares the on-chain knowledge with the unified dictionary to perform identification, disambiguation, fusion, alignment, and extraction to achieve knowledge standardization. It also assigns systematic encoding to knowledge according to unified rules, assigning minimal metadata to each piece of knowledge, enabling computers to accurately identify and calculate it; and automatically eliminates duplicate knowledge through comparison technology.

[0035] The knowledge classification standardization module is also a knowledge classification mechanism that all blockchains adhere to. Each blockchain node stores knowledge obtained from multiple sources in at least two levels. The first level classifies knowledge according to people, positions, equipment, systems, tools, documents, activities, etc. Each category of knowledge is then further classified according to the applicable unit, forming unit-specific knowledge, power plant general knowledge, reactor type general knowledge, same power plant general knowledge, same reactor type general knowledge, and nuclear power plant general knowledge, which are stored separately.

[0036] Dynamic Knowledge Graph Drawing Module: Using the knowledge stored in this blockchain node as a corpus, the module uses natural language processing, designing graph drawing rules, and machine learning models to make implicit knowledge explicit, forming a knowledge graph with people, positions, equipment, systems, and activities as nodes. It also constructs a three-dimensional digital master model through the knowledge graph, supporting cross-project semantic retrieval and intelligent recommendation.

[0037] Personalized display module: Different blockchain nodes can customize the knowledge they want to display, such as the unit knowledge of the unit, the common knowledge of the reactor type of the power plant, and the common knowledge of the nuclear power plant.

[0038] The cross-node knowledge Q&A module: The platform's user profiles incorporate expert tags. Users with expert tags act as knowledge experts on the platform, performing knowledge alignment, judgment, and answering questions on the blockchain. Through knowledge Q&A, tacit knowledge is made explicit, and knowledge is recreated. The platform assigns scores to the frequency of asking and answering questions, as well as the frequency of answer citations. These scores serve as evaluation factors for expert upgrades and as incentive indicators.

[0039] II. Blockchain-enabled decentralized collaboration networks

[0040] Multi-node trust mechanism module: Each project in the platform acts as an independent blockchain node. Data is integrated and aligned according to unified rules, stored locally, and through encryption technology and smart contracts, using technologies such as unified length hash values, asymmetric encryption, and efficient verification, the trustworthy and secure sharing of on-chain knowledge is achieved, thus fulfilling the knowledge sharing needs of the blockchain alliance from both technical and tool perspectives.

[0041] Smart Contract Rule Base: Through encryption technology and smart contracts, using technologies such as unified length hash values, asymmetric encryption, and efficient verification, it enables the trusted and secure sharing of on-chain knowledge, independent time authorization, definition of document modification permissions, version synchronization rules, and data access permissions, ensuring on-demand allocation and immutability;

[0042] III. Artificial Intelligence-Driven Intelligent Knowledge Management Module

[0043] Intelligent knowledge push module: Based on the knowledge graph of people or positions, new knowledge will be added within the block according to talent profiles and job profiles, as well as the threshold of the number of times users search for relevant knowledge, to achieve proactive, intelligent and accurate push; on the blockchain, according to the scope of application of knowledge and the blockchain authorization mechanism, it will be proactively pushed and automatically downloaded to the corresponding location of the corresponding blockchain node, realizing intelligent management and proactive service of knowledge.

[0044] Intelligent compilation and research system: Based on configuration rules, expandable formulaic instructions and large model learning, it automatically identifies metadata designed in a standard way, and realizes fully intelligent or semi-intelligent document classification, thematic compilation and research and other knowledge application methods;

[0045] Proactive push and synchronous update module: Based on user profiles (job position, project stage), it pushes effective knowledge to designated terminals in real time and automatically replaces the old version when the knowledge changes, eliminating human error;

[0046] IV. Internet of Things and Edge Computing Integration Module

[0047] Real-time data collection from the field, such as equipment status, construction progress, power plant robots, and smart construction sites, is achieved through sensors and edge devices. This data is then linked with the knowledge management system to update the knowledge base, supporting dynamic risk warnings and decision optimization.

[0048] V. One-click copy blockchain node regeneration module

[0049] The platform's data and architecture can be copied with one click, and independent sub-models can be generated on the platform. Before starting research, construction, operation and other activities of a certain type of stack, a new independent sub-model can be formed through the one-click copy mechanism. The data and architecture are copied in accordance with the blockchain contract mechanism to realize the copying of data and the construction of blockchain nodes, without building a new system.

[0050] like Figure 2 As shown, a smart method for knowledge management in multi-reactor nuclear power plants based on blockchain technology includes:

[0051] Step 1: Nuclear power-related enterprises establish a blockchain alliance, agreeing on on-chain knowledge and the responsibilities and obligations of each party through contractual mechanisms. Step 2: Establish on-chain knowledge standards and classification standards, including classifications of knowledge unique to power plant units and shared nuclear power knowledge. Step 3: Apply technologies such as large-scale models, artificial intelligence, and digital twins to dynamically construct knowledge graphs and master 3D digital models of people, equipment, documents, and activities. Step 4: Acquire knowledge, knowledge maps, and master 3D digital models to blockchain nodes through on-chain downloads and pushes, forming the knowledge map and master 3D digital model for each blockchain node. Step 5: Practice activity plans using the 3D digital model to achieve experience sharing, process optimization, risk avoidance, and improved efficiency. Step 6: Copy the node's knowledge management structure and data with one click to build new blockchain nodes, enabling rapid copying of project knowledge and facilitating quick project launch.

[0052] For rapid startup of new projects: The system retrieves the master 3D digital equipment model from the blockchain to achieve equipment localization; it also retrieves the master 3D digital power plant model from the blockchain and generates independent sub-models based on new project parameters—talent, stack type, and geographical location; through the blockchain node registration module, new blockchain alliance users or new projects are added to the group's collaborative network, automatically inheriting the master smart contract rules; the artificial intelligence module proactively pushes standardized document templates and historical experience cases to user terminals based on project stages—design, procurement, construction, commissioning, and production; during the power plant operation phase, it achieves data AI collection and integrated calculation, provides risk warnings, optimizes decision-making, and enables unmanned production, contributing to the realization of a lighthouse power plant.

[0053] For cross-project experience feedback: Project A discovers a risk in the installation of a certain device, generates an experience report through the intelligent compilation system, and uploads it to the blockchain network; the system automatically triggers a smart contract to encrypt and push the report to a designated terminal of Project B of the same type; after Project B's terminal decrypts the report, it automatically updates its local knowledge base and triggers an alert to prevent similar problems from occurring.

Claims

1. A smart knowledge management platform for multi-reactor nuclear power plants based on blockchain technology, characterized in that: include: The knowledge storage integration module driven by cloud computing and big data is a shared functional block for all blockchain nodes on the chain. Blockchain-enabled decentralized collaboration networks include a multi-node trust mechanism module and a smart contract rule base; The AI-driven intelligent knowledge management module includes an intelligent knowledge push module, an intelligent compilation and research system, an active push and synchronous update module, an IoT and edge computing integration module, and a blockchain node regeneration module with one-click copying.

2. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 1, characterized in that: The knowledge storage integration module driven by cloud computing and big data includes a knowledge acquisition module, a multi-source knowledge alignment and fusion module, a knowledge classification and standardization module, a dynamic knowledge graph drawing module, a personalized display function module, and a cross-node knowledge question and answer module.

3. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 2, characterized in that: The knowledge acquisition module is a mechanism for acquiring and transmitting knowledge that all block nodes on the chain adhere to. It has the functions of authorizing users to input, import, and download knowledge on the blockchain, as well as the ability to transmit knowledge through the online system and acquire knowledge through devices connected via the Internet of Things.

4. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 2, characterized in that: Multi-source knowledge alignment and fusion module: This is a knowledge fusion mechanism that all blockchain nodes on the chain adhere to. For knowledge generated within the same unit and acquired through the chain, each blockchain node compares the on-chain knowledge with the unified dictionary to perform identification, disambiguation, fusion, alignment, and extraction to achieve knowledge standardization. It also assigns systematic coding to the knowledge according to unified rules and assigns minimal metadata to each piece of knowledge according to unified rules, enabling computers to accurately identify and calculate. Duplicate knowledge is automatically eliminated through comparison technology.

5. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 2, characterized in that: The knowledge classification standardization module is a knowledge classification mechanism that all blockchains adhere to. Each blockchain node stores knowledge obtained from multiple sources in at least two levels. The first level is classified according to people, positions, equipment, systems, tools, documents, and activities. Each category of knowledge is further classified according to the applicable unit, forming unit-specific knowledge, power plant general knowledge, reactor type general knowledge, same power plant general knowledge, same reactor type general knowledge, and nuclear power plant general knowledge, which are stored separately.

6. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 2, characterized in that: Dynamic Knowledge Graph Drawing Module: Using blockchain nodes to store knowledge as a corpus, it makes implicit knowledge explicit through natural language processing, designing graph drawing rules, and machine learning models, forming a knowledge graph with people, positions, equipment, systems, and activities as nodes. It also constructs a three-dimensional digital master model through the knowledge graph, supporting cross-project semantic retrieval and intelligent recommendation.

7. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 2, characterized in that: Personalized display module: Different blockchain nodes can customize the display of the knowledge they wish to show, including the unit knowledge of the unit owned by the node, the common knowledge of the reactor type of the power plant, and the common knowledge of the nuclear power plant.

8. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 2, characterized in that: The cross-node knowledge Q&A module features expert tags in its user profile design. Users with expert tags act as knowledge experts on the user platform, performing knowledge alignment, judgment, and answering knowledge questions on the blockchain. Through knowledge Q&A, implicit knowledge is made explicit and knowledge is recreated. Scores are assigned to the frequency of asking questions, answering questions, and the citation of answers. These scores serve as evaluation factors for expert upgrades and as incentive reference indicators.

9. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 1, characterized in that: Multi-node trust mechanism module: Each project acts as an independent blockchain node. Data is stored locally through unified rules, and trusted and secure sharing of on-chain knowledge is achieved through encryption technology and smart contracts, using unified length hash values, asymmetric encryption, and efficient verification technology.

10. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 1, characterized in that: Smart contract rule base: Independent time authorization, definition document modification permissions, version synchronization rules and data access permissions, ensuring on-demand allocation and immutability.

11. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 1, characterized in that: Intelligent knowledge push module: Based on the knowledge graph of people or positions, new knowledge will be added within the block according to talent profiles and job profiles, as well as the threshold of the number of times users search for relevant knowledge, to achieve proactive, intelligent and accurate push; on the blockchain, according to the scope of application of knowledge and the blockchain authorization mechanism, it will be proactively pushed and automatically downloaded to the corresponding location of the corresponding blockchain node, realizing intelligent management and proactive service of knowledge.

12. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 1, characterized in that: Intelligent compilation and research system: Based on configuration rules, expandable formulaic instructions and large model learning, it automatically identifies metadata designed in a standard way, and realizes fully intelligent or semi-intelligent document classification, thematic compilation and research and other forms of knowledge application.

13. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 1, characterized in that: Proactive push and synchronous update module: Based on user roles and project stages, it pushes relevant knowledge to designated terminals in real time and automatically replaces the old version when the knowledge changes.

14. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 1, characterized in that: IoT and edge computing integration module: Real-time data collection of on-site equipment status, construction progress, power plant robots, and smart construction sites through sensors and edge devices, and linkage with the knowledge management system to update the knowledge base, supporting dynamic risk warning and decision optimization.

15. The intelligent knowledge management platform for multi-reactor nuclear power plants based on blockchain technology according to claim 1, characterized in that: One-click copy blockchain node regeneration module: Data and architecture have the function of one-click copy and generation of independent sub-models. Before starting heap-type research, construction and operation activities, a new independent sub-model is formed through the one-click copy mechanism. Data and architecture are copied in accordance with the blockchain contract mechanism to realize data copying and blockchain node construction.

16. A smart method for knowledge management in multi-reactor nuclear power plants based on blockchain technology, characterized in that: Step 1: Nuclear power-related enterprises establish a blockchain alliance, agreeing on the on-chain knowledge and the responsibilities and obligations of each party through a contractual mechanism; Step 2: Establish on-chain knowledge standards and classification standards, including knowledge classification unique to power plant units and knowledge classification shared by nuclear power plants; Step 3: Apply technologies such as large-scale models, artificial intelligence, and digital twins to dynamically construct a knowledge graph of people, devices, files, and activities, as well as a master 3D digital model; Step 4: Obtain knowledge, knowledge maps, and master 3D digital models to blockchain nodes through on-chain download and push methods, and form the knowledge map and master 3D digital model of this blockchain node; Step 5: Rehearse the activity plan using a 3D digital model to achieve experience sharing, process optimization, risk avoidance, and efficiency improvement; Step 6: Copy the node knowledge management structure and data with one click to build a new blockchain node, enabling rapid copying of project knowledge and facilitating the rapid launch of the project.

17. The intelligent method for knowledge management of multi-reactor nuclear power plants based on blockchain technology according to claim 16, characterized in that: For rapid startup of new projects: Equipment localization is achieved by calling the master 3D digital equipment model from the blockchain; independent sub-models are generated based on the new project's personnel, stack type, and geographical location by calling the master 3D digital power plant model from the blockchain; new blockchain alliance users or new projects are added to the group's collaborative network and automatically inherit the master smart contract rules; standardized document templates and historical experience cases are proactively pushed to user terminals based on project design, procurement, construction, commissioning, and production; during the power plant operation phase, data AI collection and integrated calculation are implemented to provide early warning of risks, optimize decision-making, and achieve unmanned production.

18. The intelligent method for knowledge management of multi-reactor nuclear power plants based on blockchain technology according to claim 16, characterized in that: For cross-project experience feedback: Project A discovered a risk in the installation of a certain device, generated an experience report through the intelligent compilation system, and uploaded it to the blockchain network; The smart contract is automatically triggered to push the encrypted report to a designated terminal of Project B, which is of the same type. After Project B decrypts the report, it automatically updates its local knowledge base and triggers an alert.

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