An intelligent nuclear power integration service system, method and monitoring system

Abstract

The application provides a kind of intelligent nuclear power integration service system, method and monitoring system, it is related to industrial internet platform technical field, the service system is applied to nuclear power attribute business middle station, it includes: industrial internet unit, business processing unit and industrial service unit;Industrial internet unit is used to obtain nuclear power data, and sends nuclear power data to business processing unit;Business processing unit is used to generate the microservice corresponding to nuclear power service attribute according to the nuclear power data nuclear power service attribute, and sends microservice to industrial service unit;Industrial service unit is used to generate corresponding service interface according to the microservice corresponding to nuclear power service attribute, and the microservice corresponding to nuclear power service attribute and service interface are registered in service.The service system, method and monitoring system provided by the application can realize the construction of unified business data system around nuclear power service attribute, and ensure the uniformity and integration of application development mode.

Description

Technical Field

[0001] This invention relates to the field of industrial internet platform technology, and in particular to an intelligent integrated nuclear power service system, method and monitoring system. Background Technology

[0002] The traditional three-tier architecture of industrial internet platforms includes IaaS, PaaS, and SaaS. Among them, IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service) are the three main service models of cloud computing. They represent different layers of cloud computing services, and each model has its unique characteristics and application scenarios.

[0003] With the development of the computer industry and the deep integration of information technology and the nuclear power industry, problems such as the large volume and inconsistency of nuclear power data are becoming increasingly serious. Moreover, most existing digital or intelligent monitoring platforms in the nuclear power field only aggregate data into relevant databases or data centers, providing only a large data platform. After initial processing, they can only provide data sources for the development of individual applications. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide an intelligent nuclear power integrated service system, method and monitoring system to solve the problem that most of the existing digital or intelligent monitoring platforms in the nuclear power field only aggregate data to relevant databases or data centers, which only provide a large data platform and, after completing the initial treatment, can only provide data sources for the development of individual applications.

[0005] To achieve the above and other related objectives, this invention provides an intelligent integrated nuclear power service system applied to a nuclear power attribute business platform, comprising: an industrial IoT unit, a business processing unit, and an industrial service unit; the industrial IoT unit is used to acquire nuclear power data and send the nuclear power data to the business processing unit; the business processing unit is used to generate microservices corresponding to the nuclear power business attributes based on the nuclear power business attributes of the nuclear power data, and send the microservices to the industrial service unit; the industrial service unit is used to generate corresponding service interfaces based on the microservices corresponding to the nuclear power business attributes, and register the microservices and service interfaces corresponding to the nuclear power business attributes for service interface calls in nuclear power business application scenarios.

[0006] In one embodiment of the present invention, the industrial IoT unit includes: an acquisition module, used to uniformly configure and set up field devices via edge devices to acquire multi-source heterogeneous data; wherein the multi-source heterogeneous data also includes data from third-party application systems; a comparison module, used to perform threshold comparison on the multi-source heterogeneous data to obtain simple event information; and an output module, used to send the multi-source heterogeneous data and simple event information as nuclear power data to the business processing unit.

[0007] In one embodiment of the present invention, the comparison module includes: a single comparison submodule, configured to perform threshold comparison on a single data item in multi-source heterogeneous data, so as to obtain simple event information when the single data item exceeds a first preset threshold range; a comprehensive comparison submodule, configured to perform threshold comparison on multiple data items in multi-source heterogeneous data, so as to obtain simple event information when each of the multiple data items exceeds a second preset threshold range corresponding to each data item; and a time-series comparison submodule, configured to perform threshold comparison on continuously monitored dynamic data in multi-source heterogeneous data, so as to obtain simple event information when all continuously monitored dynamic data exceeds a third preset threshold range.

[0008] In one embodiment of the present invention, the time-series comparison submodule includes: a continuous monitoring component for continuously monitoring data items in multi-source heterogeneous data to obtain dynamic data; and a time determination component for obtaining simple event information when all dynamic data exceed a third set threshold range within a continuously set time period.

[0009] In one embodiment of the present invention, the edge-side devices include edge acquisition devices and edge acquisition networks, and the field devices include sensors and nuclear power equipment.

[0010] In one embodiment of the present invention, nuclear power data includes multi-source heterogeneous data and simple event information; microservices include data services, computing services, event services, and knowledge services; the business processing unit includes: a data service module, used to receive multi-source heterogeneous data, obtain data services based on the multi-source heterogeneous data, and send the data services to the industrial service unit; an industrial knowledge module, used to obtain knowledge services based on the data services and accumulated knowledge data from nuclear power business applications, and send the knowledge services to the industrial service unit; an industrial computing module, used to obtain computing services based on the data services and knowledge services, and send the computing services to the industrial service unit; and an industrial event module, used to obtain event services based on simple event information, event information generated by the computing services, and event information generated by nuclear power business applications, and send the event services to the industrial service unit.

[0011] In one embodiment of the present invention, the data service module includes: a data processing submodule, used to receive multi-source heterogeneous data and perform data governance and data integration processing on the multi-source heterogeneous data to obtain a data service; a first sending submodule, used to send the data service to an industrial service unit; a second sending submodule, used to send the knowledge center data in the data service to an industrial knowledge module; wherein the knowledge center data includes feedback data and knowledge data; and a third sending submodule, used to send the computational data in the data service to an industrial computing module.

[0012] In one embodiment of the present invention, data governance includes data quality assessment, data cleaning, data standardization, data classification, data grading, and access control; data integration includes data extraction, data transformation, and data loading.

[0013] In one embodiment of the present invention, the industrial knowledge module includes: a knowledge processing submodule, used to perform dual-drive hybrid processing on the data service based on knowledge graph and large language model to obtain the knowledge service; wherein the knowledge service includes a first part of knowledge data and a second part of knowledge data; a fourth sending submodule, used to take the first part of knowledge data and the analysis results of the analysis algorithm corresponding to the first part of knowledge data as input parameters and send the input parameters to the industrial computing module; and a fifth sending submodule, used to send the second part of knowledge data to the industrial service unit; wherein the second part of knowledge data includes fault mode library data and text data.

[0014] In one embodiment of the present invention, the knowledge processing submodule includes: a question conversion component for acquiring user questions and converting user questions into query statements through a large language model; and a graph query component for querying in the constructed knowledge graph through query statements to obtain knowledge services; wherein the knowledge graph is obtained by performing graph structure conversion on the entities and relationships of the data services.

[0015] In one embodiment of the present invention, the service interface includes a data service interface, a computing service interface, an event service interface, and a knowledge service interface; the industrial computing module includes: a first acquisition submodule for acquiring data services from the data service module; a second acquisition submodule for acquiring knowledge services from the industrial knowledge module; a computing submodule for integrating the data services and knowledge services with the industrial event module to obtain event-driven computing services; a sixth sending submodule for sending the event-driven computing services and the event information they generate to the industrial service unit; and a seventh sending submodule for sending the event information generated by the event-driven computing services to the industrial event module.

[0016] In one embodiment of the present invention, the computing submodule is further configured to process data services and knowledge services using a real-time data warehouse architecture that integrates storage and computing, and to integrate with the industrial event module to obtain computing services in an event-driven manner.

[0017] In one embodiment of the present invention, the industrial event module includes: a third acquisition submodule, configured to receive simple event information, event information generated by the computing service, and event information generated by the application center; an event processing submodule, configured to generate an event service based on the simple event information, the event information generated by the computing service, and the event information generated by the application center; and an eighth sending submodule, configured to send the event service to the industrial computing module and the industrial service unit respectively.

[0018] In one embodiment of the present invention, the event processing submodule is further configured to identify and aggregate simple event information, event information generated by computing services, and event information generated by the application center to generate an event service.

[0019] In one embodiment of the present invention, the system further includes: an ontology layer, an operational layer, a management layer, and a decision-making layer; the ontology layer is connected to the industrial IoT unit, the business processing unit, and the industrial service unit, respectively, and is used to organize data from the basic data sources in the industrial IoT unit, the business processing unit, and the industrial service unit that are directly related to the operation of the nuclear power plant, to obtain first data corresponding to the industrial IoT unit, the business processing unit, and the industrial service unit; the operational layer is connected to the industrial IoT unit, the business processing unit, and the industrial service unit, respectively, and is used to organize data from the industrial IoT unit, the business processing unit, and the industrial service unit after intervention by operation and maintenance personnel during the operation and maintenance of the nuclear power plant. The system obtains second data corresponding to the industrial IoT unit, business processing unit, and industrial service unit. The management layer connects to the business processing unit and the industrial service unit respectively, and organizes the data after aggregating various types of data in the business processing unit and the industrial service unit according to the relevant governance, maintenance, and standard specification system, to obtain third data corresponding to the industrial IoT unit and the industrial service unit. The decision-making layer connects to the industrial IoT unit and the industrial service unit respectively, and organizes the data of the business processing unit and the industrial service unit according to the global data service system corresponding to various types of data, to obtain fourth data corresponding to the business processing unit and the industrial service unit.

[0020] To achieve the above and other related objectives, the present invention also provides an intelligent nuclear power integrated service method applied to a nuclear power attribute business platform, comprising: receiving nuclear power data through an industrial IoT unit and sending the nuclear power data to a business processing unit; generating microservices corresponding to the nuclear power business attributes based on the nuclear power business attributes of the nuclear power data through the business processing unit, and sending the microservices to an industrial service unit; generating corresponding service interfaces based on the microservices corresponding to the nuclear power business attributes through the industrial service unit, and registering the microservices corresponding to the nuclear power business attributes and the corresponding service interfaces for service interface invocation in the corresponding nuclear power business application scenarios.

[0021] In one embodiment of the present invention, nuclear power data is acquired through an industrial IoT unit and sent to a business processing unit, including: uniformly configuring and configuring the data source and field equipment via edge devices to acquire multi-source heterogeneous data; performing threshold comparison on the multi-source heterogeneous data to obtain simple event information; and sending the multi-source heterogeneous data and simple event information as nuclear power data to the business processing unit.

[0022] In one embodiment of the present invention, threshold comparison is performed on multi-source heterogeneous data to obtain simple event information, including: performing threshold comparison on a single data item in the multi-source heterogeneous data, so that simple event information is obtained when the single data item exceeds a first preset threshold range; performing threshold comparison on multiple data items in the multi-source heterogeneous data, so that simple event information is obtained when each of the multiple data items exceeds a second preset threshold range corresponding to each data item; and performing threshold comparison on continuously monitored dynamic data in the multi-source heterogeneous data, so that simple event information is obtained when all continuously monitored dynamic data exceeds a third preset threshold range.

[0023] In one embodiment of the present invention, threshold comparison is performed on continuously monitored dynamic data in multi-source heterogeneous data to obtain simple event information when all continuously monitored dynamic data exceed a third preset threshold range. This includes: continuously monitoring data items in multi-source heterogeneous data to obtain dynamic data; and obtaining simple event information when all monitored dynamic data exceed the third preset threshold range within a continuously set time period.

[0024] In one embodiment of the present invention, nuclear power data includes multi-source heterogeneous data and simple event information, and microservices include data services, computing services, event services, and knowledge services. A business processing unit generates microservices corresponding to the nuclear power business attributes of the nuclear power data based on the nuclear power business attributes, and sends the microservices to an industrial service unit. This includes: receiving multi-source heterogeneous data, obtaining a data service based on the multi-source heterogeneous data, and sending the data service to the industrial service unit; obtaining a knowledge service based on the data service and accumulated knowledge data from nuclear power business applications, and sending the knowledge service to the industrial service unit; obtaining a computing service based on the data service and the knowledge service, and sending the computing service to the industrial service unit; and obtaining an event service based on the simple event information, event information generated by the computing service, and event information generated by nuclear power business applications, and sending the event service to the industrial service unit.

[0025] In one embodiment of the present invention, receiving multi-source heterogeneous data, obtaining data services based on the multi-source heterogeneous data, and sending the data services to an industrial service unit includes: receiving multi-source heterogeneous data, performing data governance and data integration processing on the multi-source heterogeneous data to obtain data services; sending the data services to the industrial service unit; sending knowledge center data from the data services to an industrial knowledge module; wherein the knowledge center data includes feedback data and knowledge data; and sending computational data from the data services to an industrial computing module.

[0026] In one embodiment of the present invention, a knowledge service is obtained based on the accumulated knowledge data of data services and nuclear power business applications, and the knowledge service is sent to an industrial service unit. This includes: performing a dual-drive hybrid processing of the data service based on knowledge graphs and large language models to obtain the knowledge service; wherein the knowledge service includes a first part of knowledge data and a second part of knowledge data; using the first part of knowledge data and the analysis results of the corresponding analysis algorithm as input parameters, and sending the input parameters to an industrial computing module; and sending the second part of knowledge data to the industrial service unit; wherein the second part of knowledge data includes fault mode library data and text data.

[0027] In one embodiment of the present invention, a computing service is obtained based on data services and knowledge services, and the computing service is sent to an industrial service unit, including: obtaining data services from a data service module; obtaining knowledge services from an industrial knowledge module; integrating the data services and knowledge services with an industrial event module to obtain an event-driven computing service; sending the event-driven computing service and the event information it generates to the industrial service unit; and sending the event information generated by the event-driven computing service to the industrial event module.

[0028] In one embodiment of the present invention, an event service is obtained based on simple event information, event information generated by a computing service, and event information generated by a nuclear power business application, and the event service is sent to an industrial service unit. This includes: receiving simple event information, event information generated by a computing service, and event information generated by an application center; generating an event service based on the simple event information, event information generated by a computing service, and event information generated by an application center; and sending the event service to the industrial computing module and the industrial service unit, respectively.

[0029] To achieve the above and other related objectives, the present invention provides an intelligent nuclear power integrated monitoring system, comprising: a data source layer, a facility layer, the aforementioned intelligent nuclear power integrated service system, and a monitoring application layer; the data source layer is used to connect related facilities and various data sources to obtain multi-source heterogeneous data and send it to the facility layer; the facility layer is used to send the multi-source heterogeneous data to the intelligent nuclear power integrated service system; the intelligent nuclear power integrated service system is used to obtain nuclear power data based on the multi-source heterogeneous data, obtain microservices with corresponding nuclear power business attributes based on the nuclear power data, and register the microservices with corresponding nuclear power business attributes and their corresponding service interfaces in the industrial service unit; the monitoring application layer is used to obtain the microservices corresponding to the service registration of the service interfaces by calling the corresponding service interfaces according to the application requirements of the corresponding nuclear power business application scenarios.

[0030] To achieve the above and other related objectives, the infrastructure layer includes hardware basic equipment and cloud infrastructure, which includes computing resource facilities, storage resource facilities, network resource facilities and cloud management platform facilities; the monitoring application layer includes equipment management applications, operation management applications and emergency security management applications.

[0031] To achieve the above and other related objectives, the intelligent nuclear power integrated service system also includes: a data and computing platform, and a general PaaS infrastructure.

[0032] As described above, the intelligent nuclear power integrated service system, method, and monitoring system of the present invention have the following beneficial effects: Through the nuclear power attribute business platform of the intelligent nuclear power integrated service system, utilizing the basic data processing and computing capabilities established by the data and computing platform, and combining the general characteristics of nuclear power industry business, a business platform supporting the development of intelligent applications under different nuclear power business scenarios can be established. This platform is then configured as microservices and corresponding service interfaces through unified business configuration for intelligent applications to call. This allows nuclear power business personnel to easily develop intelligent applications at any time based on the specific application scenarios on-site, according to the nuclear power attribute business platform. Furthermore, the business processing unit can connect applications around a specific theme from data and computing to business processes, without being constrained by IT technology limitations. The microservice architecture achieves the unification of data and computing, and allows nuclear power business personnel to accumulate their business knowledge into the platform through application development, connecting the required thematic business processes according to application scenario needs. Attached Figure Description

[0033] Figure 1 The diagram shown is a flowchart of the intelligent nuclear power integrated service system provided in an embodiment of the present invention.

[0034] Figure 2 The diagram shows a flowchart illustrating the integrated smart nuclear power service process provided in an embodiment of the present invention.

[0035] Figure 3 The diagram shown is a structural block diagram of the intelligent nuclear power integrated service method provided in an embodiment of the present invention.

[0036] Figure 4 The diagram shown is a structural block diagram of an intelligent nuclear power integrated monitoring system provided in an embodiment of the present invention.

[0037] Figure 5 The diagram shown is a flowchart illustrating the transient automatic statistical process of a nuclear power unit according to an embodiment of the present invention.

[0038] Component designation explanation

[0039] Data source layer 10; facility layer 20; intelligent nuclear power integrated service system 30; monitoring application layer 40; industrial IoT unit 31; business processing unit 32; industrial service unit 33. Detailed Implementation

[0040] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0041] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0042] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0043] Please see Figure 1 This invention provides an intelligent nuclear power integrated service system 30, applied to a nuclear power attribute business platform, comprising: an industrial IoT unit 31, a business processing unit 32, and an industrial service unit 33; the industrial IoT unit 31 is used to acquire nuclear power data and send the nuclear power data to the business processing unit 32; the business processing unit 32 is used to generate microservices corresponding to the nuclear power business attributes based on the nuclear power business attributes of the nuclear power data, and send the microservices to the industrial service unit 33; the industrial service unit 33 is used to generate corresponding service interfaces based on the microservices corresponding to the nuclear power business attributes, and register the microservices and service interfaces corresponding to the nuclear power business attributes for service interface calls in nuclear power business application scenarios.

[0044] As can be seen from the above, in the intelligent nuclear power integrated service system 30 of the present invention, a unified configuration of nuclear power data is achieved by utilizing a nuclear power attribute business platform. Specifically, the nuclear power data is acquired through the industrial IoT unit 31, and this nuclear power data is the processed data. Subsequently, the industrial IoT unit 31 further sends the nuclear power data to the business processing unit 32. The business processing unit 32 then generates microservices corresponding to the nuclear power business attributes based on the nuclear power data and its nuclear power business attributes, and sends these microservices to the industrial service unit 33. After receiving the corresponding microservices, the industrial service unit 33 further generates the corresponding service interfaces for the microservices and registers the microservices and their service interfaces. This allows the registered service interfaces to be invoked in the corresponding nuclear power business application scenarios to obtain the corresponding microservices. This enables the development of related applications based on different types of business application needs by calling different microservices and uploading them to the platform application market for use by various business personnel on different terminals according to different scenarios.

[0045] In one embodiment of the present invention, the industrial IoT unit 31 includes: an acquisition module, used to uniformly configure and set up field devices via edge devices to acquire multi-source heterogeneous data; wherein the multi-source heterogeneous data also includes data from third-party application systems; the data types of the multi-source heterogeneous data include time-series data, text data, and audio / video data, etc., and are provided to the acquisition module through a unified access method; a comparison module, used to perform threshold comparison on the multi-source heterogeneous data to obtain simple event information; and an output module, used to send the multi-source heterogeneous data and simple event information as nuclear power data to the business processing unit 32. The simple event information includes excessively high temperature, abnormal pressure, equipment failure, etc.

[0046] In this embodiment, nuclear power data includes multi-source heterogeneous data and simple event information. During the acquisition of nuclear power data, the Industrial IoT Center 31 utilizes an acquisition module to obtain the multi-source heterogeneous data corresponding to the edge-side devices after unified configuration and setup of the field devices via edge-side equipment. Then, a comparison module performs a simple threshold comparison on this multi-source heterogeneous data; when it exceeds a set threshold, it is determined to be simple event information. Subsequently, an output module combines the multi-source heterogeneous data and simple event information as nuclear power data and sends it to the business processing unit 32 to form microservices corresponding to different nuclear power business attributes.

[0047] The comparison module includes: a single comparison submodule, used to perform threshold comparison on a single data item in multi-source heterogeneous data, so as to obtain simple event information when the single data item exceeds a first set threshold range; a comprehensive comparison submodule, used to perform threshold comparison on multiple data items in multi-source heterogeneous data, so as to obtain simple event information when each of the multiple data items exceeds a second set threshold range corresponding to each data item; and a time-series comparison submodule, used to perform threshold comparison on continuously monitored dynamic data in multi-source heterogeneous data, so as to obtain simple event information when all continuously monitored dynamic data exceed a third set threshold range.

[0048] When using a comparison module to perform threshold comparisons on multi-source heterogeneous data, methods such as single-parameter threshold comparison, multi-parameter comprehensive comparison, and time series comparison can be employed. For single-parameter threshold comparison, a single comparison submodule performs a threshold comparison on a single data item within the multi-source heterogeneous data. When a single data item exceeds a first set threshold range, a simple event is triggered. For example, when the single data item is data collected by a pressure sensor, it is determined whether the pressure sensor data exceeds a set upper threshold; if so, an event is triggered. For multi-parameter comprehensive comparison, multiple data items from the multi-source heterogeneous data can be compared together. When each data item exceeds its corresponding second set threshold range, a simple event is triggered. For example, temperature and pressure can be considered as common factors; therefore, an event is triggered only when both temperature and pressure exceed their respective thresholds. For time series comparison, threshold comparisons can be performed for continuous monitoring of dynamic data. When the thresholds for continuous monitoring are not met, an abnormal event is identified.

[0049] Specifically, the time-series comparison submodule includes: a continuous monitoring component, used to continuously monitor data items in multi-source heterogeneous data to obtain dynamic data; and a time determination component, used to obtain simple event information when all dynamic data exceed a third set threshold range within a continuously set time period.

[0050] In the process of threshold comparison of dynamic data using the time-series comparison submodule, a continuous monitoring component can be used to achieve continuous monitoring within a set time period, thereby obtaining dynamic data within the set time period. Then, a time determination component is used to determine whether the continuously monitored dynamic data within the set time period meets the third set threshold range. If it does not meet the threshold, simple event information is obtained. Specifically, when a parameter is detected to exceed the threshold for 10 consecutive minutes, it can be determined as an abnormal event.

[0051] In one embodiment of the present invention, the edge-side devices include edge acquisition devices and an edge acquisition network, and the field devices include sensors and nuclear power equipment. During the unified configuration and setup of data sources and field devices via the edge-side devices, multi-source heterogeneous data is obtained by utilizing the edge acquisition devices and the edge acquisition network to uniformly configure and set up field devices such as sensors and nuclear power equipment. This multi-source heterogeneous data can also be data directly received from third-party application systems, i.e., third-party application system data. Nuclear power equipment includes smart meters and smart devices.

[0052] Specifically, microservices include data services, computing services, event services, and knowledge services; service interfaces include data service interfaces, computing service interfaces, event service interfaces, and knowledge service interfaces. Through unified data services, standardized data definition and processing can be achieved, building a unified nuclear power data business system and providing a unified data mart. Through unified computing services, a unified real-time computing and computing scheduling engine can be provided, realizing a unified computing framework. Through a unified portal interface and knowledge services, application integration and flexible expansion can be achieved by unifying portal development requirements and the microservice framework. Through unified data services, computing services, event services, and knowledge services, unified application development and business service functions can be built.

[0053] In one embodiment of the present invention, the business processing unit 32 includes: a data service module, configured to receive multi-source heterogeneous data, obtain data services based on the multi-source heterogeneous data, and send the data services to the industrial service unit 33; an industrial knowledge module, configured to obtain knowledge services based on the data services and accumulated knowledge data from nuclear power business applications, and send the knowledge services to the industrial service unit 33; an industrial computing module, configured to obtain computing services based on the data services and knowledge services, and send the computing services to the industrial service unit 33; and an industrial event module, configured to obtain event services based on simple event information, event information generated by the computing services, and event information generated by nuclear power business applications, and send the event services to the industrial service unit 33.

[0054] In this embodiment, when processing nuclear power data, the business processing unit 32 receives multi-source heterogeneous data from the nuclear power data sent by the industrial IoT unit 31 through the data service module. This multi-source heterogeneous data is then used to form a data service, which is sent to the industrial service unit 33. This generates a data service interface in the industrial service unit 33, and service registration is performed between the industrial service and the data service for use in nuclear power business application scenarios. The industrial knowledge module also combines the data service with accumulated knowledge data from nuclear power business applications to form a knowledge service; this nuclear power business application can be a corresponding application in the monitoring application layer 40. After obtaining the knowledge service, it further sends it to the industrial service unit 33, which then generates a knowledge service interface and performs service registration with the knowledge service for use in nuclear power business application scenarios. The industrial computing module utilizes the obtained data and knowledge services to further obtain computing services, which are then sent to the industrial service unit 33. The industrial service unit 33 generates a computing service interface and registers it with the computing service for use in nuclear power business application scenarios. The industrial event module receives simple event information from the industrial IoT unit 31 and combines it with event information generated by the computing service and nuclear power business applications to obtain event services. These event services are then sent to the industrial service unit 33, where an event service interface is generated and registered for use in nuclear power business application scenarios. This approach enables intelligent application development based on specific on-site application scenarios. The business center allows for the integration of data, computing, and business processes around a specific theme, without being constrained by IT technology limitations. This microservice architecture unifies data and computing, allowing nuclear power personnel to accumulate their business knowledge through application development on the platform, enabling the integration of required business themes according to application scenario needs.

[0055] By utilizing the Industrial IoT Unit 31, Data Service Module, Industrial Knowledge Module, Industrial Computing Module, Industrial Event Module, and Industrial Service Unit 33, and combining them with the attributes of nuclear power business, industrial services and management functions related to IoT, events, computing (including features and indicators), data, and knowledge related to the intelligent business of nuclear power entity can be realized for users, thereby supporting the cloud-native application development architecture.

[0056] In one embodiment of the present invention, the data service module includes: a data processing submodule, used to receive multi-source heterogeneous data and perform data governance and data integration processing on the multi-source heterogeneous data to obtain data services; a first sending submodule, used to send the data services to the industrial service unit 33; a second sending submodule, used to send the knowledge center data in the data services to the industrial knowledge module; wherein the knowledge center data includes feedback data and knowledge data; and a third sending submodule, used to send the computational data in the data services to the industrial computing module.

[0057] In this embodiment, when processing multi-source heterogeneous data, the data service module utilizes a data processing submodule to perform data governance and data integration processing on the received multi-source heterogeneous data to obtain a data service. This data service is then sent to the industrial service unit 33 via a first sending submodule, where a data service interface is generated and registered with the data service for use in nuclear power business application scenarios. Simultaneously, a second sending submodule sends the knowledge center data from the data service to the industrial knowledge module for use, enabling the generation of corresponding knowledge services. A third sending submodule sends the computational data from the data service to the industrial computing module for use, enabling the generation of corresponding computational services. The data service module enables the implementation of unified data standards and models, and facilitates the sharing and unified service of equipment data models across power plants.

[0058] The order of data governance and data integration for multi-source heterogeneous data can be determined based on specific needs and application scenarios. Generally, data governance can be performed first, followed by data integration. Data governance ensures data quality, consistency, and availability; data integration then combines the governed data to form a unified data view for subsequent data analysis.

[0059] Data governance includes data quality assessment, data cleaning, data standardization, data classification, data grading, and access control; data integration includes data extraction, data transformation, and data loading.

[0060] In the process of data governance for multi-source heterogeneous data, data quality assessment can evaluate the accuracy, completeness, consistency, and timeliness of the data; data cleaning can handle missing values, duplicate data, formatting issues, and outliers; data standardization can unify data formats, encoding, and units; and data classification, data grading, and access control can ensure data security and compliance. When integrating multi-source heterogeneous data, the data can be processed by extracting the governed data from various data sources, mapping it to a unified data model, performing necessary transformations and aggregations, and then loading the processed data into the target system.

[0061] In one embodiment of the present invention, the industrial knowledge module includes: a knowledge processing submodule, used to perform dual-drive hybrid processing of the data service based on knowledge graph and large language model to obtain the knowledge service; wherein the knowledge service includes a first part of knowledge data and a second part of knowledge data; a fourth sending submodule, used to take the first part of knowledge data and the analysis results of the analysis algorithm corresponding to the first part of knowledge data as input parameters and send the input parameters to the industrial computing module; and a fifth sending submodule, used to send the second part of knowledge data to the industrial service unit 33; wherein the second part of knowledge data includes fault mode library data and text data.

[0062] In this embodiment, when processing data services, the industrial knowledge module uses a knowledge processing submodule to perform dual-drive hybrid processing based on knowledge graphs and large language models to obtain corresponding knowledge services. These knowledge services can provide industrial profiling, content generation, retrieval and recommendation, interactive question answering, and push analysis, supporting knowledge-driven business decision-making. The knowledge service includes a first part of knowledge data and a second part of knowledge data. The fourth sending submodule sends the first part of knowledge data and the analysis results of the corresponding analysis algorithms as input parameters to the industrial computing module for use by the industrial computing center. The second part of knowledge data is sent to the industrial service unit 33 via the fifth sending submodule, where a knowledge service interface is generated and registered with the knowledge service for use in nuclear power business application scenarios.

[0063] The knowledge processing submodule includes: a question transformation component, which acquires user questions and converts them into query statements through a large language model; and a graph query component, which queries the constructed knowledge graph using query statements to obtain knowledge services; wherein the knowledge graph is obtained by transforming the entities and relationships of the data services into a graph structure.

[0064] When processing data services using the knowledge processing submodule, a dual-drive approach combining knowledge graphs and large language models is employed to ensure the accuracy and reliability of the answers, thereby providing knowledge services. Specifically, the question transformation component uses large language models to convert user questions into corresponding query statements in the knowledge graph, which are then used to retrieve answers within the knowledge graph, thus obtaining knowledge services. Furthermore, through knowledge services based on knowledge graphs and large language models, detailed equipment profiles can be generated by combining equipment parameters and operational records from the knowledge graph with descriptions generated by the large language model. Additionally, a panoramic view of the nuclear power plant's operational process can be generated through knowledge graph correlation analysis, showcasing the relationships between various equipment and processes. The large language model can also be used to generate technical documents, operation manuals, and maintenance guides, referencing professional knowledge from the knowledge graph to ensure the accuracy and practicality of the generated content. By combining the structured knowledge of the knowledge graph with the natural language understanding capabilities of the large language model, intelligent search services are provided. Furthermore, personalized knowledge recommendations can be offered to users based on their historical behavior and knowledge from the knowledge graph. Users can also ask questions using natural language. The large language model understands the questions and retrieves relevant information from the knowledge graph. When generating answers, it references knowledge from the knowledge graph to ensure the accuracy and reliability of the responses. Fault diagnosis can also be performed by utilizing fault patterns from the knowledge graph and fault descriptions generated by the large language model. Furthermore, security analysis can be conducted by combining security standards from the knowledge graph and security recommendations generated by the large language model.

[0065] In one embodiment of the present invention, the industrial computing module includes: a first acquisition submodule for acquiring data services from a data service module; a second acquisition submodule for acquiring knowledge services from an industrial knowledge module; a computing submodule for integrating the data services and knowledge services with an industrial event module to obtain event-driven computing services; a sixth sending submodule for sending the event-driven computing services and the event information they generate to an industrial service unit; and a seventh sending submodule for sending the event information generated by the event-driven computing services to the industrial event module.

[0066] In this embodiment, during the process of obtaining computing services based on data services and knowledge services, the industrial computing module can acquire data services from the data service module through the first acquisition submodule and knowledge services from the industrial knowledge module through the second acquisition submodule. Then, the computing submodule integrates the data services and knowledge services with the industrial event module to obtain event-driven computing services. The sixth sending submodule sends the event-driven computing services and their generated event information to the industrial computing module, generating a computing service interface in the industrial service unit 33 and registering it with the computing services for use in nuclear power business application scenarios. The seventh sending submodule can also send event information generated by the event-driven computing services to the industrial event module, thereby enabling the integration of event information through the industrial event module. Furthermore, based on the concept of a real-time data warehouse integrating storage and computing, the industrial computing module can uniformly define, calculate, and provide services for the characteristics, indicators, and algorithms of nuclear power objects, integrating them with the industrial event module to form event-driven computing services.

[0067] Specifically, the computing submodule is also used to process data services and knowledge services using a real-time data warehouse architecture that integrates in-memory computing and data processing, and to integrate with the industrial event module to obtain event-driven computing services. By using a real-time data warehouse architecture that integrates in-memory computing and data processing to process data services and knowledge services, it is possible to achieve unified definition, calculation, and service provision of characteristics, indicators, and algorithms of nuclear power objects, and to integrate with the industrial event module to form event-driven computing services.

[0068] In one embodiment of the present invention, the industrial event module includes: a third acquisition submodule, used to receive simple event information, event information generated by the computing service, and event information generated by the application center; an event processing submodule, used to generate an event service based on the simple event information, the event information generated by the computing service, and the event information generated by the application center; and an eighth sending submodule, used to send the event service to the industrial computing module and the industrial service unit respectively.

[0069] In this embodiment, when processing various events, the industrial event module can identify and receive various event information, such as simple event information, event information generated by computing services, and event information generated by the application center, through the third acquisition submodule. Then, through the eighth sending submodule, it sends various event information to the industrial service unit to achieve full-domain sharing and tracking analysis of event services. In the industrial service unit 33, an event service interface can be generated using the event service, and service registration can be performed between the interface and the event service for use in nuclear power business application scenarios. This allows event information to be pushed to different nuclear power business applications based on different subscribers. By sending various event information to the industrial computing module, event-driven calculations in the industrial computing module can be achieved.

[0070] The event processing submodule is used to identify and aggregate simple event information, event information generated by computing services, and event information generated by the application center to generate event services. After generating event services, further global event sharing and tracking analysis can be achieved. This involves storing event information in an event storage system, supporting event persistence and historical querying; tracking the event processing process, recording the event flow path and processing results; and analyzing event data to generate event reports and dashboards, supporting event visualization and analysis.

[0071] Please see Figure 2 , Figure 2In one embodiment, within the intelligent nuclear power integrated service system of this invention, the industrial IoT unit can acquire multi-source heterogeneous data via edge acquisition devices or an edge acquisition network using sensors, smart meters, and equipment. Simultaneously, it can directly acquire multi-source heterogeneous data through third-party application systems. After acquiring the multi-source heterogeneous data, the industrial IoT unit performs threshold comparison processing for simple events to obtain simple event information. This multi-source heterogeneous data is then sent to the data service module. The data service module performs data integration and governance to obtain data services, which are then provided to the industrial service unit. This allows intelligent applications (APPs) to call the data services through the data service interface. The data service module also sends the data services to the industrial knowledge module to generate knowledge services, which are then sent to the industrial service unit. This allows intelligent applications (APPs) to call the knowledge services through the knowledge service interface. Furthermore, the data service module sends the data services to the industrial computing module, and the industrial knowledge module also sends the knowledge services to the industrial computing module. This enables the industrial computing module, in conjunction with the industrial event module, to perform event-driven computation to obtain computation services, which are then sent to the industrial service unit. Intelligent applications (APPs) can then call the computation services through the computation service interface. The obtained computing services will also generate event information and send it to the industrial event module. At the same time, the industrial event module will also receive simple event information from the industrial IoT center and event information generated by the smart application APP to form an event service, which can be subscribed to by different users through the smart application APP.

[0072] In one embodiment of the present invention, the system further includes: an ontology layer, an operational layer, a management layer, and a decision-making layer. The ontology layer is connected to the industrial IoT unit 31, the business processing unit 32, and the industrial service unit 33, respectively, and is used to organize data from the basic data sources in the industrial IoT unit 31, the business processing unit 32, and the industrial service unit 33, which are directly related to the operation of the nuclear power plant, to obtain first data corresponding to the industrial IoT unit 31, the business processing unit 32, and the industrial service unit 33. The operational layer is connected to the industrial IoT unit 31, the business processing unit 32, and the industrial service unit 33, respectively, and is used to organize data from the industrial IoT unit 31, the business processing unit 32, and the industrial service unit 33 after intervention by maintenance personnel during the operation and maintenance of the nuclear power plant. The management layer obtains the second data corresponding to the industrial IoT unit 31, the business processing unit 32, and the industrial service unit 33. The management layer connects to the business processing unit 32 and the industrial service unit 33 respectively, and organizes the data after the aggregation of various types of data in the business processing unit 32 and the industrial service unit 33 according to the relevant governance, maintenance, and standard specification system, to obtain the third data corresponding to the business processing unit 32 and the industrial service unit 33. The decision-making layer connects to the business processing unit 32 and the industrial service unit 33 respectively, and organizes the data of the business processing unit 32 and the industrial service unit 33 according to the global data service system corresponding to various types of data, to obtain the fourth data corresponding to the business processing unit 32 and the industrial service unit 33.

[0073] In this embodiment, the data management hierarchy of the ontology layer, operation layer, management layer and decision layer can be used to establish associations with the industrial IoT unit 31, business processing unit 32 and industrial service unit 33 to meet the personalized data service needs of various intelligent applications.

[0074] Data management hierarchy and its association with Industrial IoT Unit 31, Business Processing Unit 32, and Industrial Service Unit 33:

[0075]

[0076] As shown in the table above, the ontology layer connects to Industrial IoT Unit 31, Data Service Module, Industrial Event Module, Industrial Knowledge Module, Industrial Computing Module, and Industrial Service Unit 33, respectively, and is responsible for managing the basic data sources such as parameters, events, algorithms, and knowledge directly related to the design, construction, commissioning, operation, and maintenance of nuclear power plants. The operational layer also connects to these units, and is responsible for managing data such as parameters, events, algorithms, and knowledge related to or following intervention by maintenance personnel during the operation and maintenance of nuclear power plants. The management layer connects to the Data Service Module, Industrial Event Module, Industrial Knowledge Module, Industrial Computing Module, and Industrial Service Unit 33, and is responsible for the governance, maintenance, and standardization of various data after aggregation. The decision-making layer also connects to these units, and is responsible for using various data to form various global data service systems (such as operational decision-making indicator systems and plant-wide equipment health indicator systems) to provide decision support capabilities.

[0077] Under the data management hierarchy of the above-mentioned ontology layer, operation layer, management layer and decision layer, and the data system associated with industrial IoT unit 31, business processing unit 32 and industrial service unit 33, business centers can be formed for relevant business levels such as nuclear power plant equipment operation and maintenance, daily operation, accident operation and safety emergency status, so that business personnel can conduct business data analysis and intelligent application development.

[0078] By constructing a data service system centered around the attributes of nuclear power operations (this system includes an ontology layer, operational layer, management layer, and decision-making layer), various types of data related to nuclear power intelligence can be integrated. This not only solves the traditional problems of data silos and fragmented knowledge but also maintains a high degree of unity and globality between nuclear power operations and data on the basis of data integration. Specifically, data related to various nuclear power operations (including collected data, generated alarms, warnings, events, algorithms, knowledge, and microservices) can be divided according to the above system. Data at each layer can have a certain degree of decoupling and can also be vertically integrated through standardized interfaces, thereby meeting the personalized data service needs of various intelligent applications.

[0079] Please see Figure 3 The present invention also provides an intelligent nuclear power integrated service method, applied to a nuclear power attribute business platform, comprising:

[0080] Step S10: Receive nuclear power data through industrial IoT unit 31 and send the nuclear power data to business processing unit 32;

[0081] Step S20: The business processing unit 32 generates microservices corresponding to the nuclear power business attributes based on the nuclear power business attributes of the nuclear power data, and sends the microservices to the industrial service unit 33.

[0082] Step S30: The industrial service unit 33 generates corresponding service interfaces based on the microservices corresponding to the nuclear power business attributes, and registers the microservices and corresponding service interfaces corresponding to the nuclear power business attributes for service interface calls in the corresponding nuclear power business application scenarios.

[0083] In one embodiment of the present invention, nuclear power data is acquired through an industrial IoT unit 31 and sent to a business processing unit 32, including: uniformly configuring and configuring the data source and field equipment via edge devices to obtain multi-source heterogeneous data; performing threshold comparison on the multi-source heterogeneous data to obtain simple event information; and sending the multi-source heterogeneous data and simple event information as nuclear power data to the business processing unit 32.

[0084] Furthermore, threshold comparisons are performed on multi-source heterogeneous data to obtain simple event information, including: performing threshold comparisons on a single data item in the multi-source heterogeneous data to obtain simple event information when a single data item exceeds a first set threshold range; performing threshold comparisons on multiple data items in the multi-source heterogeneous data to obtain simple event information when each of the multiple data items exceeds a second set threshold range corresponding to each data item; and performing threshold comparisons on continuously monitored dynamic data in the multi-source heterogeneous data to obtain simple event information when all continuously monitored dynamic data exceed a third set threshold range.

[0085] Among them, threshold comparison is performed on the continuously monitored dynamic data in the multi-source heterogeneous data, so that simple event information is obtained when all the continuously monitored dynamic data exceeds the third set threshold range. This includes: continuously monitoring data items in the multi-source heterogeneous data to obtain dynamic data; and obtaining simple event information when all the monitored dynamic data exceeds the third set threshold range within a continuously set time period.

[0086] In one embodiment of the present invention, nuclear power data includes multi-source heterogeneous data and simple event information, and microservices include data services, computing services, event services, and knowledge services. The business processing unit 32 generates microservices corresponding to the nuclear power business attributes based on the nuclear power business attributes of the nuclear power data, and sends the microservices to the industrial service unit 33. This includes: receiving multi-source heterogeneous data, obtaining a data service based on the multi-source heterogeneous data, and sending the data service to the industrial service unit 33; obtaining a knowledge service based on the data service and accumulated knowledge data from nuclear power business applications, and sending the knowledge service to the industrial service unit 33; obtaining a computing service based on the data service and the knowledge service, and sending the computing service to the industrial service unit 33; and obtaining an event service based on the simple event information, event information generated by the computing service, and event information generated by nuclear power business applications, and sending the event service to the industrial service unit 33.

[0087] In one embodiment of the present invention, receiving multi-source heterogeneous data, obtaining data services based on the multi-source heterogeneous data, and sending the data services to an industrial service unit 33 includes: receiving multi-source heterogeneous data, performing data governance and data integration processing on the multi-source heterogeneous data to obtain data services; sending the data services to the industrial service unit 33; sending the knowledge center data in the data services to an industrial knowledge module; wherein the knowledge center data includes feedback data and knowledge data; and sending the computational data in the data services to an industrial computing module.

[0088] In one embodiment of the present invention, a knowledge service is obtained based on the accumulated knowledge data of data services and nuclear power business applications, and the knowledge service is sent to the industrial service unit 33. This includes: performing a dual-drive hybrid processing on the data service based on knowledge graphs and large language models to obtain the knowledge service; wherein the knowledge service includes a first part of knowledge data and a second part of knowledge data; taking the first part of knowledge data and the analysis results of the analysis algorithm corresponding to the first part of knowledge data as input parameters, and sending the input parameters to the industrial computing module; sending the second part of knowledge data to the industrial service unit 33; wherein the second part of knowledge data includes fault mode library data and text data.

[0089] In one embodiment of the present invention, a computing service is obtained based on data services and knowledge services, and the computing service is sent to an industrial service unit 33, including: obtaining data services from a data service module; obtaining knowledge services from an industrial knowledge module; integrating data services and knowledge services with an industrial event module to obtain an event-driven computing service; sending the event-driven computing service and the event information it generates to the industrial service unit 33; and sending the event information generated by the event-driven computing service to the industrial event module.

[0090] In one embodiment of the present invention, an event service is obtained based on simple event information, event information generated by a computing service, and event information generated by a nuclear power business application, and the event service is sent to the industrial service unit 33. This includes: receiving simple event information, event information generated by a computing service, and event information generated by an application center; generating an event service based on the simple event information, event information generated by a computing service, and event information generated by an application center; and sending the event service to the industrial computing module and the industrial service unit 33, respectively.

[0091] Please refer to 4. This invention also provides an intelligent nuclear power integrated monitoring system, comprising: a data source layer 10, a facility layer 20, the aforementioned intelligent nuclear power integrated service system 30, and a monitoring application layer 40; the data source layer 10 is used to connect related facilities and various data sources to obtain multi-source heterogeneous data and send it to the facility layer 20; the facility layer 20 is used to send the multi-source heterogeneous data to the intelligent nuclear power integrated service system 30; the intelligent nuclear power integrated service system 30 is used to obtain nuclear power data based on the multi-source heterogeneous data, obtain microservices with corresponding nuclear power business attributes based on the nuclear power data, and register the microservices with corresponding nuclear power business attributes and their corresponding service interfaces in the industrial service unit 33; the monitoring application layer 40 is used to obtain the microservices corresponding to the service registration of the service interfaces by calling the corresponding service interfaces according to the application requirements of the corresponding nuclear power business application scenarios.

[0092] Please see Figure 5 , Figure 5In one embodiment, the monitoring application layer 40 may include intelligent operation monitoring applications and intelligent equipment monitoring, early warning, and diagnostic applications. The intelligent operation monitoring applications include unit operation monitoring applications, on-site control applications, and radiation shielding applications. The intelligent equipment monitoring, early warning, and diagnostic applications include applications for rotating equipment and applications for stationary equipment. When the unit operation monitoring application is a nuclear power unit transient automatic statistical system, the main functions of this system include: a transient basic information database, real-time operating parameter display (generally included in the synchronous display of transient identification and classification functions), transient identification and classification, and a transient statistical data list (later extended to the analysis of transient events). First, based on the transient design transients of various reactor types, transient parameter information and changes are determined during the design phase through engineering methods such as simulation or modeling. This information is then automatically combined and managed in the industrial knowledge module using a template of the design transients as knowledge. Related knowledge services are generated through the industrial service unit for subsequent comparative analysis by the industrial computing module and for display in the application center. Then, real-time nuclear power plant operating parameters (multi-source heterogeneous data) are acquired through industrial IoT units and processed by the data service center, providing data services such as display in the application center and input parameters in nuclear power industrial calculations. The industrial computing module, after obtaining input parameters from relevant services, relies on transient identification and judgment algorithms developed or integrated within the industrial computing module to provide computing services for the application center to call, and displays the relevant calculation results in the application center. When processing, the industrial event module first provides event services to the application center for invocation, and couples them with the calculation results of the industrial computing module to confirm whether a transient event has occurred. If a transient event has occurred, it pushes the transient event to the industrial event module for event analysis and provides transient event analysis services to the application center. Finally, the design transient results generated by the application center can be used to correct the basic knowledge information related to transient basic information in the industrial knowledge module (the specific implementation can be in the form of microservices or other forms).

[0093] In one embodiment of the present invention, the facility layer 20 includes hardware infrastructure and cloud infrastructure, the cloud infrastructure including computing resource facilities, storage resource facilities, network resource facilities and cloud management platform facilities; the monitoring application layer 40 includes device management applications, operation management applications and emergency security management applications.

[0094] In one embodiment of the present invention, the intelligent nuclear power integrated service system 30 further includes: a data and computing platform, and a general PaaS infrastructure. The nuclear power attribute business platform in the intelligent nuclear power integrated service system 30 can utilize the basic data processing and computing capabilities established by the data and computing platform, and combine them with the general characteristics of nuclear power industry businesses to establish a business platform that supports the development of intelligent applications under different nuclear power business scenarios. Furthermore, the business of each of the aforementioned centers can be uniformly configured through a unified business configuration module.

[0095] In summary, the intelligent nuclear power integrated operation management system and method disclosed in this invention utilizes the nuclear power attribute business platform of the intelligent nuclear power integrated service system. Leveraging the basic data processing and computing capabilities established by the data and computing platform, and combining the common characteristics of nuclear power industry businesses, a business platform supporting intelligent application development under different nuclear power business scenarios can be established. This platform is configured as microservices and corresponding service interfaces through unified business configuration for intelligent applications to call. This allows nuclear power business personnel to easily develop intelligent applications based on specific on-site application scenarios using the nuclear power attribute business platform. Furthermore, the business processing unit 32 can connect applications around a specific theme from data and computing to business processes, without being constrained by IT technology limitations. The microservice architecture achieves unified data and computing, and allows nuclear power business personnel to accumulate their business knowledge into the platform through application development, connecting the required thematic business processes according to application scenario needs. Therefore, this invention effectively overcomes the various shortcomings of existing technologies and has high industrial application value.

[0096] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. An intelligent nuclear power integrated service system, characterized in that, Applications to the nuclear power-related business platform include: Industrial IoT units, business processing units, and industrial service units; An industrial IoT unit is used to acquire nuclear power data and send the nuclear power data to the business processing unit; The business processing unit is used to generate microservices corresponding to the nuclear power business attributes based on the nuclear power data, and send the microservices to the industrial service unit. An industrial service unit is used to generate corresponding service interfaces based on the microservices corresponding to the nuclear power business attributes, and to register the microservices and service interfaces corresponding to the nuclear power business attributes for service interface calls in nuclear power business application scenarios. The industrial IoT unit includes: The acquisition module is used to uniformly configure and set up field devices via edge devices to acquire multi-source heterogeneous data; wherein, the multi-source heterogeneous data also includes data from third-party application systems; A comparison module is used to perform threshold comparisons on the multi-source heterogeneous data to obtain simple event information; and The output module is used to send the nuclear power data to the business processing unit based on the multi-source heterogeneous data and the simple event information; The comparison module includes: A single comparison submodule is used to perform threshold comparison on a single data item in the multi-source heterogeneous data, so as to obtain the simple event information when the single data item exceeds the first set threshold range; The comprehensive comparison submodule is used to perform threshold comparisons on multiple data items in the multi-source heterogeneous data, so as to obtain the simple event information when each of the multiple data items exceeds the second preset threshold range corresponding to each data item; and The time-series comparison submodule is used to perform threshold comparison on the continuously monitored dynamic data in the multi-source heterogeneous data, so as to obtain the simple event information when all the continuously monitored dynamic data exceed the third set threshold range.

2. The intelligent nuclear power integrated service system according to claim 1, characterized in that: The timing comparison submodule includes: A continuous monitoring component is used to continuously monitor data items in the multi-source heterogeneous data to obtain dynamic data; The time determination component is used to obtain the simple event information when the dynamic data is detected to exceed the range of a third set threshold within a continuous set time period.

3. The intelligent nuclear power integrated service system according to claim 1, characterized in that: The edge-side devices include edge acquisition devices and edge acquisition networks, and the field devices include sensors and nuclear power equipment.

4. The intelligent nuclear power integrated service system according to claim 1, characterized in that: The nuclear power data includes multi-source heterogeneous data and simple event information, and the microservices include data services, computing services, event services, and knowledge services. The business processing unit includes: The data service module is used to receive the multi-source heterogeneous data, obtain the data service based on the multi-source heterogeneous data, and send the data service to the industrial service unit. The industrial knowledge module is used to obtain the knowledge service based on the accumulated knowledge data of the data service and nuclear power business applications, and to send the knowledge service to the industrial service unit. An industrial computing module is configured to obtain the computing service based on the data service and the knowledge service, and to send the computing service to the industrial service unit; and The industrial event module is used to obtain the event service based on the simple event information, the event information generated by the computing service, and the event information generated by the nuclear power business application, and to send the event service to the industrial service unit.

5. The intelligent nuclear power integrated service system according to claim 4, characterized in that: The data service module includes: The data processing submodule is used to receive the multi-source heterogeneous data and perform data governance and data integration processing on the multi-source heterogeneous data to obtain the data service. The first sending submodule is used to send the data service to the industrial service unit; The second sending submodule is used to send the knowledge center data from the data service to the industrial knowledge module; wherein the knowledge center data includes feedback data and knowledge data; and The third sending submodule is used to send the computational data in the data service to the industrial computing module.

6. The intelligent nuclear power integrated service system according to claim 5, characterized in that: The data governance includes data quality assessment, data cleaning, data standardization, data classification, data grading, and access control; the data integration includes data extraction, data transformation, and data loading.

7. The intelligent nuclear power integrated service system according to claim 4, characterized in that: The industrial knowledge module includes: The knowledge processing submodule is used to perform dual-drive hybrid processing on the data service based on knowledge graph and large language model to obtain the knowledge service; wherein, the knowledge service includes a first part of knowledge data and a second part of knowledge data; The fourth sending submodule is used to take the first part of knowledge data and the analysis results of the analysis algorithm corresponding to the first part of knowledge data as input parameters, and send the input parameters to the industrial computing module; and The fifth sending submodule is used to send the second part of the knowledge data to the industrial service unit; wherein, the second part of the knowledge data includes fault mode library data and text data.

8. The intelligent nuclear power integrated service system according to claim 7, characterized in that: The knowledge processing submodule includes: A question transformation component is used to obtain user questions and convert them into query statements using a large language model; and The graph query component is used to query the constructed knowledge graph through query statements to obtain the knowledge service; wherein the knowledge graph is obtained by transforming the entities and relationships of the data service into a graph structure.

9. The intelligent nuclear power integrated service system according to claim 4, characterized in that: The service interfaces include data service interfaces, computing service interfaces, event service interfaces, and knowledge service interfaces; The industrial computing module includes: The first acquisition submodule is used to acquire the data service in the data service module; The second acquisition submodule is used to acquire the knowledge service in the industrial knowledge module; The computing submodule is used to integrate the data service and the knowledge service with the industrial event module to obtain the computing service in an event-driven manner. The sixth sending submodule is used to send the computing service and its generated event information in event-driven mode to the industrial service unit; and The seventh sending submodule is used to send the event information generated by the computing service in the event-driven mode to the industrial event module.

10. The intelligent nuclear power integrated service system according to claim 9, characterized in that: The computing submodule is also used to process the data service and the knowledge service using a real-time data warehouse architecture that integrates storage and computing, and to integrate with the industrial event module to obtain the computing service in an event-driven manner.

11. The intelligent nuclear power integrated service system according to claim 4, characterized in that: The industrial event module includes: The third acquisition submodule is used to receive the simple event information, the event information generated by the computing service, and the event information generated by the application center; An event processing submodule is used to generate the event service based on the simple event information, the event information generated by the computing service, and the event information generated by the application center; and The eighth sending submodule is used to send the event service to the industrial computing module and the industrial service unit respectively.

12. The intelligent nuclear power integrated service system according to claim 11, characterized in that: The event processing submodule is also used to identify and aggregate the simple event information, the event information generated by the computing service, and the event information generated by the application center to generate the event service.

13. The intelligent nuclear power integrated service system according to claim 1, characterized in that: Also includes: The core layers are: ontology layer, operational layer, management layer, and decision-making layer. The body layer is connected to the industrial IoT unit, the business processing unit and the industrial service unit respectively, and is used to organize the basic data sources in the industrial IoT unit, the business processing unit and the industrial service unit that are directly related to the operation of the nuclear power plant, and obtain the first data corresponding to the industrial IoT unit, the business processing unit and the industrial service unit. The operating layer is connected to the industrial IoT unit, the business processing unit, and the industrial service unit respectively, and is used to organize data of the industrial IoT unit, the business processing unit, and the industrial service unit after intervention by operation and maintenance personnel during the operation and maintenance of the nuclear power plant, so as to obtain the second data corresponding to the industrial IoT unit, the business processing unit, and the industrial service unit. The management layer is connected to the business processing unit and the industrial service unit respectively, and is used to organize the data after aggregating various types of data in the business processing unit and the industrial service unit according to the relevant governance, maintenance and standard system, so as to obtain the third data corresponding to the business processing unit and the industrial service unit. The decision-making layer is connected to the business processing unit and the industrial service unit respectively, and is used to organize the data of the business processing unit and the industrial service unit according to the global data service system corresponding to various types of data, so as to obtain the fourth data corresponding to the business processing unit and the industrial service unit.

14. A smart nuclear power integrated service method, characterized in that, Applications to the nuclear power-related business platform include: Nuclear power data is received through an industrial IoT unit and then sent to a business processing unit. The business processing unit generates microservices corresponding to the nuclear power business attributes of the nuclear power data based on the nuclear power business attributes, and sends the microservices to the industrial service unit. The industrial service unit generates corresponding service interfaces based on the microservices corresponding to the nuclear power business attributes, and registers the microservices and corresponding service interfaces corresponding to the nuclear power business attributes for service interface calls in the corresponding nuclear power business application scenarios. The process of acquiring nuclear power data through an industrial IoT unit and sending the nuclear power data to the business processing unit includes: The edge device performs unified configuration and setup of data sources and field devices to obtain multi-source heterogeneous data. Threshold comparisons are performed on the multi-source heterogeneous data to obtain simple event information; The nuclear power data is sent to the business processing unit based on the multi-source heterogeneous data and the simple event information. The process of performing threshold comparisons on the multi-source heterogeneous data to obtain simple event information includes: A threshold comparison is performed on a single data item in the multi-source heterogeneous data so that the simple event information is obtained when the single data item exceeds the first set threshold range. The simple event information is obtained when each of the multiple data items in the heterogeneous data exceeds the second set threshold range corresponding to each data item. Threshold comparison is performed on the continuously monitored dynamic data in the multi-source heterogeneous data, so that when all the continuously monitored dynamic data exceed the third set threshold range, the simple event information is obtained.

15. The intelligent nuclear power integrated service method according to claim 14, characterized in that: A threshold comparison is performed on the continuously monitored dynamic data in the multi-source heterogeneous data to obtain the simple event information when all the continuously monitored dynamic data exceed a third preset threshold range, including: Continuous monitoring of data items in the multi-source heterogeneous data is performed to obtain dynamic data; When the dynamic data is detected to exceed the third set threshold range within a continuously set time period, the simple event information is obtained.

16. The intelligent nuclear power integrated service method according to claim 14, characterized in that: The nuclear power data includes multi-source heterogeneous data and simple event information, and the microservices include data services, computing services, event services, and knowledge services. The business processing unit generates microservices corresponding to the nuclear power business attributes of the nuclear power data based on the nuclear power business attributes, and sends the microservices to the industrial service unit, including: Receive the multi-source heterogeneous data, obtain the data service based on the multi-source heterogeneous data, and send the data service to the industrial service unit; Based on the accumulated knowledge data from the data services and nuclear power business applications, the knowledge service is obtained and sent to the industrial service unit. The computing service is obtained based on the data service and the knowledge service, and the computing service is sent to the industrial service unit. The event service is obtained based on the simple event information, the event information generated by the computing service, and the event information generated by the nuclear power business application, and the event service is sent to the industrial service unit.

17. The intelligent nuclear power integrated service method according to claim 16, characterized in that: Receiving the multi-source heterogeneous data, obtaining the data service based on the multi-source heterogeneous data, and sending the data service to the industrial service unit, includes: Receive the multi-source heterogeneous data, and perform data governance and data integration processing on the multi-source heterogeneous data to obtain the data service; The data service is sent to the industrial service unit; The knowledge center data in the data service is sent to the industrial knowledge module; wherein, the knowledge center data includes feedback data and knowledge data; The computational data from the data service is sent to the industrial computing module.

18. The intelligent nuclear power integrated service method according to claim 16, characterized in that: Based on the accumulated knowledge data from the data services and nuclear power business applications, the knowledge service is obtained and sent to the industrial service unit, including: The data service is subjected to a dual-drive hybrid processing based on knowledge graph and large language model to obtain the knowledge service; wherein, the knowledge service includes a first part of knowledge data and a second part of knowledge data; The first part of the knowledge data and the analysis results of the analysis algorithm corresponding to the first part of the knowledge data are used as input parameters, and the input parameters are sent to the industrial computing module. The second part of the knowledge data is sent to the industrial service unit; The second part of the knowledge data includes fault mode library data and text data.

19. The intelligent nuclear power integrated service method according to claim 16, characterized in that: Based on the data service and the knowledge service, the computing service is obtained, and the computing service is sent to the industrial service unit, including: Obtain the data service from the data service module; Obtain the knowledge service from the industrial knowledge module; The data service and the knowledge service are integrated with the industrial event module to obtain the computing service in an event-driven manner; The computing service and the event information it generates, in an event-driven manner, are sent to the industrial service unit. The event information generated by the computing service in the event-driven mode is sent to the industrial event module.

20. The intelligent nuclear power integrated service method according to claim 16, characterized in that: Based on the simple event information, the event information generated by the computing service, and the event information generated by the nuclear power business application, the event service is obtained and sent to the industrial service unit, including: Receive the simple event information, the event information generated by the computing service, and the event information generated by the application center; The event service is generated based on the simple event information, the event information generated by the computing service, and the event information generated by the application center. The event service is sent to the industrial computing module and the industrial service unit respectively.

21. An intelligent integrated nuclear power monitoring system, characterized in that, include: Data source layer, facility layer, intelligent nuclear power integrated service system as described in any one of claims 1-13, and monitoring application layer; The data source layer is used for IoT-related facilities and various data sources to obtain multi-source heterogeneous data and send it to the facility layer; The facility layer is used to send the multi-source heterogeneous data to the smart nuclear power integrated service system; The intelligent nuclear power integrated service system is used to obtain nuclear power data based on the multi-source heterogeneous data, obtain microservices with corresponding nuclear power business attributes based on the nuclear power data, and register the microservices with corresponding nuclear power business attributes and the corresponding service interfaces in the industrial service unit. The monitoring application layer is used to obtain the microservice corresponding to the service registration of the corresponding service interface by calling the corresponding service interface according to the application requirements of the corresponding nuclear power business application scenario.

22. The intelligent nuclear power integrated monitoring system according to claim 21, characterized in that: The facility layer includes hardware infrastructure and cloud infrastructure, which includes computing resources, storage resources, network resources, and cloud management platform facilities; the monitoring application layer includes device management applications, operation management applications, and emergency security management applications.

23. The intelligent nuclear power integrated monitoring system according to claim 21, characterized in that: The intelligent nuclear power integrated service system also includes: a data and computing platform, and a general PaaS infrastructure.

Images