Cloud-edge collaborative 1+6+n smart thermal power plant intelligent infrastructure system and deployment method

Abstract

The present application provides a cloud-edge collaborative 1+6+N smart thermal power plant intelligent infrastructure system and deployment method. The system comprises: a lightweight IaaS layer, a lightweight PaaS layer, and a lightweight SaaS layer. The lightweight IaaS layer is used for a user to independently deploy and run any software or application program, to implement basic computing, storage, and calling of network resources for the smart thermal power plant intelligent infrastructure system. The lightweight PaaS layer is used to configure an application program development and deployment environment for any software or application program deployed by the user, and to access data of a terminal sensing device and a control device of the smart thermal power plant intelligent infrastructure system. The lightweight SaaS layer is used to deploy applications and services used in the smart thermal power plant intelligent infrastructure system in the form of a microservice architecture, to meet various service requirements of the smart thermal power plant intelligent infrastructure system. The technical problems of how to provide an efficient, safe and visual solution for improving infrastructure management, operation and maintenance of a thermal power plant, and how to significantly improve the infrastructure management level and efficiency of operation and maintenance the power plant, are resolved.

Description

A cloud-edge collaborative 1+6+N smart power plant smart infrastructure system and deployment method

[0001] The present application claims priority to the Chinese patent application No. 202410872650.9, filed on July 1, 2024, and entitled "A cloud-edge collaborative 1+6+N smart power plant smart infrastructure system and deployment method", the whole content of which is incorporated herein by reference. TECHNICAL FIELD

[0002] The present application belongs to the field of smart infrastructure engineering of thermal power generating units, and relates to a cloud-edge collaborative 1+6+N smart power plant smart infrastructure system and deployment method. BACKGROUND

[0003] Since the infrastructure period and the production period of a thermal power plant belong to two administrative authorities respectively, the management of each link and each stage is separated from each other, which is easy to cause a series of problems such as loss of engineering data, untraceable concealed engineering, non-integrated equipment assets, and difficult accountability of inferior suppliers. How to reduce engineering cost, improve engineering quality, unify the source of engineering data, and realize integrated management and control of infrastructure and operation through digital technology to build a digital foundation based on engineering physical objects for smart power plants in the operation and maintenance stage is a problem that needs to be considered in the process of infrastructure construction for power generation enterprises.

[0004] At present, a thermal power plant infrastructure project is equipped with corresponding management systems, such as power generation and peak shaving systems, fault repair systems, and other projects. The management subjects are single, and it is difficult to realize overall management and control during the infrastructure period. If a power plant realizes overall management and control of infrastructure, it will inevitably increase the complexity of system architecture and business processes, increase the number of systems and terminal devices for data interaction and command interaction, and put higher requirements on system software and hardware for system data storage, data management, and background application calculation. At the same time, it may lead to low correlation between systems, thereby increasing the difficulty of management during the infrastructure period.

[0005] Therefore, a smart power plant smart infrastructure system that supports various sensing, analysis, modeling, calculation, control, optimization, and decision-making new technologies, fully meets the various needs of power plant construction and production, and conforms to the new concept and mode of smart power plants in line with the needs of the times is needed to be proposed. A new management concept is established for the infrastructure process of power plants to help realize overall management and control of infrastructure. SUMMARY

[0006] The present application provides a cloud-edge collaborative 1+6+N smart power plant smart infrastructure system and deployment method to solve the technical problems of how to improve the overall infrastructure management and operation of a thermal power plant, and how to significantly improve the infrastructure management level and operation efficiency of a power plant.

[0007] The present application adopts the following technical solutions:

[0008] The application provides a cloud-edge collaboration 1+6+N smart thermal power plant smart infrastructure system, comprising:

[0009] a lightweight IaaS layer, a lightweight PaaS layer and a lightweight SaaS layer;

[0010] The lightweight IaaS layer is used for users to self-deploy and run any software or application program, and realizes basic calculation, storage and calling of network resources of the smart thermal power plant smart infrastructure system.

[0011] The lightweight PaaS layer is used for setting an application development and deployment environment for any software or application program deployed by the user and accessing data of terminal sensing devices and control devices of the smart thermal power plant smart infrastructure system.

[0012] The lightweight SaaS layer is used for deploying applications and services of the smart thermal power plant smart infrastructure system in the form of a micro-service architecture to meet various business needs of the smart thermal power plant smart infrastructure system.

[0013] Optionally, the lightweight IaaS layer mainly comprises an infrastructure platform, and the infrastructure platform is composed of a container, a virtual machine, a software management platform and a hardware management platform.

[0014] Optionally, the lightweight PaaS layer mainly comprises a data foundation layer, a data access layer, a data processing layer, a data application layer and a data display layer.

[0015] The data foundation layer is used for realizing data collection and summarization of the smart thermal power plant smart infrastructure system through device terminals.

[0016] The data access layer is used for transmitting data collected and summarized by the data foundation to the data processing layer through a 5G network.

[0017] The data processing layer is used for transmission sharing, calculation analysis and interactive fusion of related data, and supports development and integration of customized applications of the lightweight IaaS layer.

[0018] Optionally, the data transmission mode of the data access layer comprises remote access, real-time synchronization and incremental synchronization.

[0019] Optionally, the data processing layer extraction module extracts original data from a variety of business databases such as a gate access terminal system, a vehicle gate terminal system, illegal behavior recognition information, progress data, cost data, design drawings, interactive documents, progressive three-dimensional models, risk control data and engineering management data as input of basic data, and then loads the business data into a data warehouse or a data mart through a conversion and loading module to generate an OLAP database.

[0020] Optionally, the data processing layer automatically forms an association body by using a data management standard through a keyword extraction function, and completes fusion analysis of multi-source heterogeneous data in the infrastructure construction process.

[0021] Optionally, the data processing layer also analyzes the collected video data in combination with an intelligent video analysis algorithm model, automatically creates a violation event when a person is found to be in violation, and links the violation site to broadcast the violation situation through voice, and timely sends a stop signal; and realizes management of participating units according to the personnel basic data collected by the access control terminal.

[0022] Optionally, the lightweight SaaS layer includes a data application layer and a data display layer.

[0023] The data application layer is used to establish a progressive high-precision cloud rendering three-dimensional information model prior to the construction progress by perfecting the KKS coding identification system, realize construction data control, quality management, cost control, engineering data management and other applications; realize the visualization of the application through paper checking and analysis based on the three-dimensional model, three-dimensional collision checking, three-dimensional cable laying management, three-dimensional progress analysis, three-dimensional simulation construction, document management; and realize the continuous accumulation of data and knowledge through the three-dimensional model as the core carrier of the data association body.

[0024] The data display layer completes report data viewing, workflow approval and message pushing through a portal interface, and completes various services and data display.

[0025] The application also provides a cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure construction system deployment method, and a cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure construction system based on any one of the above method embodiments, the method comprising:

[0026] In the lightweight IaaS layer, any software or application program is deployed and run by itself, realizing basic calculation, storage and calling of network resources of the smart thermal power plant smart infrastructure construction system.

[0027] In the lightweight PaaS layer, an application development and deployment environment is set for any software or application program deployed for the user, and data access of terminal sensing devices and control devices of the smart thermal power plant smart infrastructure construction system is realized.

[0028] In the lightweight SaaS layer, a micro-service architecture is used to deploy the application and service of the smart thermal power plant smart infrastructure construction system, so as to meet various business demands of the smart thermal power plant smart infrastructure construction system.

[0029] The application has the following beneficial effects:

[0030] The cloud edge collaboration 1+6+N smart thermal power plant smart infrastructure system provided in the application reduces the difficulty of data management and business decision-making, adopts a plurality of management terminals to complement and cooperate in management and control, can realize global collaborative management during the infrastructure period, effectively integrates personnel, location, attendance, work, materials and other information, provides decision-making basis for management personnel scheduling, on-site work, equipment and material supervision and project overall progress, quality, safety and cost management, and has the characteristics of small business concurrency, high reliability, high real-time performance, flexible expansion, low maintenance difficulty, high information security level and the like. BRIEF DESCRIPTION OF DRAWINGS

[0031] Fig. 1 is a cloud edge collaboration 1+6+N smart thermal power plant smart infrastructure system architecture schematic diagram provided in the application;

[0032] Fig. 2 is a construction data processing layer flow schematic diagram provided in the application;

[0033] Fig. 3 is a cloud edge collaboration 1+6+N smart thermal power plant smart infrastructure system step method step diagram provided in the application. DETAILED DESCRIPTION

[0034] The application will be described in detail below in combination with the drawings and specific embodiments.

[0035] The application provides a cloud edge collaboration 1+6+N smart thermal power plant smart infrastructure system, which will be explained and described below in combination with Fig. 1. The system specifically includes:

[0036] The smart thermal power plant edge cloud platform of the cloud edge collaboration 1+6+N smart thermal power plant smart infrastructure system provided in the application includes a lightweight IaaS layer, a lightweight PaaS layer and a lightweight SaaS layer;

[0037] The lightweight IaaS layer is used for users to self-deploy and run any software or application program, realizes basic calculation, storage and network resource calling of the smart thermal power plant smart infrastructure system;

[0038] In an embodiment, the system resource of the smart power plant smart infrastructure system is deployed in a virtual machine or a container of an IaaS layer of a power plant edge cloud platform, for users to deploy and run any software or application, to realize basic computing, storage and calling network resources of the smart power plant smart infrastructure system.

[0039] The lightweight PaaS layer is used to set an application development and deployment environment for the user-deployed any software or application, and access data of terminal sensing devices and control devices of the smart power plant smart infrastructure system.

[0040] In an embodiment, the computing data required by the smart power plant smart infrastructure system is provided by a data access layer of the PaaS layer, and the computing model and computing resource required are provided by a data analysis layer of the PaaS layer, in addition, the PaaS layer can set an application development and deployment environment for the user-deployed any software or application, and access data of terminal sensing devices and control devices of the smart power plant smart infrastructure system.

[0041] The lightweight SaaS layer is used for the application and service of the smart power plant smart infrastructure system to be deployed in the form of a micro-service architecture, to meet various business demands of the smart power plant smart infrastructure system.

[0042] In an embodiment, the application and service of the smart power plant smart infrastructure system are developed and deployed in the form of a micro-service architecture in a SaaS layer of a power plant edge cloud platform, to meet various business demands of the smart power plant smart infrastructure system.

[0043] It should be noted that the cloud-edge collaboration 1+6+N smart power plant smart infrastructure system provided by the present application fully utilizes the advantages of cloud computing, edge computing and Internet of Things technology, and provides an efficient, safe and visual solution for the infrastructure management and operation of a power plant. Through real-time data acquisition, efficient data processing and intelligent application, the infrastructure management level and operation efficiency of the power plant can be significantly improved.

[0044] Optionally, the lightweight IaaS layer mainly includes an infrastructure platform, and the infrastructure platform is composed of a container, a virtual machine, a software management platform and a hardware management platform.

[0045] It should be noted that the cloud-edge collaboration 1+6+N smart power plant smart infrastructure system provided by the present application, the lightweight PaaS layer mainly includes: a data foundation layer, a data access layer, a data processing layer, a data application layer and a data display layer.

[0046] Optionally, the data foundation layer is used to realize data acquisition and summarization of the smart power plant smart infrastructure system through a device terminal.

[0047] A data access layer for transmitting data collected and summarized by a 5G network to a data processing layer;

[0048] A data processing layer for transmission sharing, calculation analysis and interactive integration of relevant data, and supporting development and integration of customized applications of a lightweight IaaS layer.

[0049] In an embodiment, various intelligent sensors, PLC controllers, intelligent instruments and monitoring cameras are deployed inside the thermal power plant, and these devices are ensured to support standard network communication protocols (such as Modbus, OPC UA, MQTT, etc.) to facilitate the transmission of real-time operation data to the Dahua ICC platform. In addition, access devices are registered and configured on the Dahua ICC platform, including setting device ID, IP address, port and corresponding authentication information, etc. The data access layer can collect and summarize data through terminal devices and 5G network in a remote access, real-time synchronization and incremental synchronization manner. The data involved in the smart infrastructure of the thermal power plant includes manually input data, video collected data, geographic information data, drawing document data, intelligent terminal collected detection data and various sources and formats. The specific data content includes progress data, cost data, quality data, operation risk data, vehicle information data, special equipment data, emergency plan data, access control data, video monitoring data, warehouse data, storage space data, equipment and material data, contract data and personnel data.

[0050] The data access layer integrates and stores the detection data of each intelligent terminal by connecting the data interfaces of each subsystem database and other related databases, realizes the transmission sharing, calculation analysis and interactive integration of relevant data. For necessary historical data, a construction site data entry function is developed, and for offline structured data, a data table function that meets data standards and template specifications is developed. Under the condition of data security, through data mapping, metadata, real-time data access and other service functions, data access and processing are realized. The accessed data is verified and inspected according to the smart infrastructure data management standards, and the accessed data sets are managed according to different dimensions such as business activities, business processes, data sources and data time processes, forming data assets.

[0051] Optionally, the data transmission mode of the data access layer includes remote access, real-time synchronization and incremental synchronization.

[0052] The data processing layer develops efficient identification and keyword extraction functions for the multi-source heterogeneous data of the thermal power infrastructure construction, including drawings, documents, forms, specification parameters, work flows, video streams, management streams, access control, personnel IDs, etc. generated during the infrastructure construction period. The data management standards are used to automatically form associated bodies, break through the barriers between different structured data, and solve the fusion analysis of multi-source heterogeneous data during the infrastructure construction. It should be noted that the data processing layer mainly involves personnel master data, progress master data, quality master data, cost master data, video master data, access control master data, safety master data, and material master data.

[0053] Optionally, the data processing layer extraction module extracts original data from the access control terminal system, vehicle gate terminal system, illegal behavior recognition information, progress data, cost data, design drawings, interactive documents, progressive three-dimensional models, risk control data, and engineering management data business databases as the input of the basic data, and then loads the business data into the data warehouse or data mart through the conversion and loading module to generate the OLAP database.

[0054] In one embodiment, as shown in FIG. 2, the data processing layer extracts multi-source heterogeneous data resources to a temporary intermediate layer through a data extraction, conversion, and loading module, cleans, converts, and integrates, and finally loads them into a data warehouse or data mart, becoming the basis for online analytical processing and data mining. The data extraction module extracts original data from the access control terminal system, vehicle gate terminal system, illegal behavior recognition information, progress data, cost data, design drawings, interactive documents, progressive three-dimensional models, risk control data, and engineering management data business databases as the input of the basic data, and then extracts, converts, and further cleans and integrates the personnel master data, progress master data, quality master data, cost master data, video master data, access control master data, safety master data, and material master data, to finally constitute the bottom layer of the data warehouse in the data center, i.e., the data foundation layer, and converge to the OLAP database.

[0055] Optionally, the data processing layer uses the keyword extraction function to automatically form associated bodies using data management standards to complete the fusion analysis of multi-source heterogeneous data during the infrastructure construction.

[0056] In one embodiment, the data processing layer develops and deploys efficient identification and keyword extraction functions for the multi-source heterogeneous data of the thermal power infrastructure construction, including drawings, documents, forms, specification parameters, work flows, video streams, management streams, access control, personnel IDs, etc. generated during the infrastructure construction period. The data management standards are used to automatically form associated bodies, break through the barriers between different structured data, and solve the fusion analysis of multi-source heterogeneous data during the infrastructure construction.

[0057] Optionally, the data processing layer also combines intelligent video analysis algorithm model to analyze the collected video data, when finding personnel violation, automatically creates violation event, and links violation site voice broadcast violation situation, and timely sends stop signal; according to the personnel basic data collected by the access control terminal, realizes the management of participating units.

[0058] In an embodiment, the data processing layer also combines intelligent video analysis algorithm model to intelligently analyze video data, when finding personnel violation, automatically creates violation event, thereby realizing intelligent collection of violation event, and linking violation site voice broadcast violation situation, timely stopping, realizing safety risk control; according to the personnel basic data collected by the access control terminal, realizing the management of participating units, through system data integration, realizing infrastructure site safety risk control, developing and deploying construction unit self-reporting, infrastructure supervision task management, visitor management, violation management, operation risk control, personnel distribution, attendance statistics, special personnel management, safety measure analysis and other functions.

[0059] Optionally, the lightweight SaaS layer includes: data application layer and data display layer;

[0060] The data application layer is used to establish a gradual high-precision cloud rendering three-dimensional information model prior to construction progress by perfecting the KKS coding identification system, realize construction data control, quality management, cost control, engineering data management and other applications; based on three-dimensional model deployment drawing checking analysis, three-dimensional collision checking, three-dimensional cable laying management, three-dimensional progress analysis, three-dimensional simulation construction, document management realize the visualization of application; the data correlation body with three-dimensional model as the core carrier realizes the continuous accumulation of data and knowledge;

[0061] In an embodiment, the data application layer can deploy construction data control, participating unit management, quality management, cost control, safety risk control, engineering data management, mobile application and warehouse management and other functions.

[0062] The data application layer improves the KKS coding identification system, establishes a gradual high-precision cloud rendering three-dimensional information model prior to the construction progress, realizes construction data management and control, quality management, cost control, engineering data management and other applications, and the modeling granularity includes civil engineering, equipment, nozzles, pipelines, pipe fittings (valves, flanges, filters, etc.), supports and hangers, underground pipe network, bridge and other design objects. The boiler model accuracy reaches the welding joint level and the measurement point level. Based on the three-dimensional model, drawing checking and analysis, three-dimensional collision checking, three-dimensional cable laying management, three-dimensional progress analysis, three-dimensional simulation construction, document management and other visual applications are deployed. The two / three-dimensional information model and management platform are used to carry out comprehensive collision checking and two / three-dimensional checking in the whole process to ensure the effectiveness of the design results. The data correlation body taking the three-dimensional model as the core carrier realizes the continuous accumulation of data, knowledge (equipment account, engineering drawings, design attributes, welding information, engineering documents, etc.).

[0063] Based on the continuous accumulation of data, the infrastructure data management and control application is developed, including construction data management, infrastructure project cost control, engineering quality auxiliary management, infrastructure project data management, and intelligent warehouse management and control.

[0064] (1) Construction data management

[0065] 1) Project progress data management: Develop and deploy comprehensive analysis and management functions of design progress, construction progress, procurement progress and supply progress data to monitor possible risks in project progress from multiple dimensions.

[0066] 2) Field construction operation visualization collaboration: Import the field layered plan layout as the basis for construction site display, and through the collection of field video monitoring data and construction progress data, the construction information and industrial video information are labeled and positioned on the drawings to realize the viewing of the reported construction progress report on the visual two-dimensional map containing actual location information. Through the industrial video camera image of the construction point and the operation point, the visual management of the construction progress of the site is realized.

[0067] 3) Construction site large machinery control: Establish a large machinery account, which contains information such as equipment entry application, review, registration and record, regular inspection and maintenance, purchase and sale contract, manufacturing license, product qualification certificate, manufacturing supervision and inspection certificate, installation and use instruction, record keeping, etc. A two-dimensional code is made for the construction machinery, and the relevant information of the machinery can be obtained immediately by scanning the two-dimensional code. The inspection and maintenance of the machinery should have a work reminder, which is timely transmitted to the specific person in charge, and the reply information and work completion of the person in charge are recorded to realize the closed-loop management of the regular work of the construction machinery.

[0068] (2) Infrastructure project cost control

[0069] 1) Investment budget control: Synchronize investment data, budget data, including initial budget, management budget, completed investment, estimated final investment, signed contract amount, signed contract completed investment, signed contract incomplete investment, contract tax, contract progress fund payment, etc. Statistics and classification, auxiliary managers to assess project budget execution, investment and engineering progress deviation and influence. Through the collection and comparison of annual and monthly budget and progress data, realize project budget execution analysis, audit, and deviation warning.

[0070] 2) Purchase cost control: Synchronize each engineering project's equipment procurement contract, construction and installation contract, design / supervision / commissioning contract, other contract, contract delivery and payment of engineering quantity. View project implementation status, contract signing amount, settlement, signed amount-settled amount, compare design budget, calculate design budget, management budget and contract estimated difference, etc.

[0071] 3) Construction cost control: Synchronize the implementation of plant equipment fees, installation engineering fees, construction engineering fees, and other fees for statistics and classification.

[0072] (3) Auxiliary management of engineering quality

[0073] 1) Design change control: Synchronize each set of design change record, detailed record volume number, volume name, change unit, design unit, change reason, change position, change date, and change cost. And statistical analysis of volume change data.

[0074] 2) Collision management: After establishing a three-dimensional information model and performing comprehensive collision checking, develop a collision problem handling and approval process, view collision points in three dimensions, and intuitively understand collision conditions and feedback collision handling methods.

[0075] 3) Cable laying data management: Visual display of cable laying path and generation of three-dimensional laying length.

[0076] (4) Infrastructure project data management

[0077] 1) Model center: Deploy and release two-dimensional drawings and three-dimensional digital models, restore all professional equipment and facilities through two-three-dimensional association and three-dimensional visualization technology, and view related engineering data according to selected three-dimensional objects.

[0078] 2) Data delivery verification: Check the completeness of the generated data transfer data and generate a statistical table through the data released by the data control module.

[0079] 3) Supplement and improve the coding of the entire plant identification system: Based on the unified coding principle, audit the coding of design institutes and manufacturers, and be responsible for the kks coding of new equipment.

[0080] 4) Document management: Batch import all documents of the power plant, including but not limited to equipment instruction manual, system layout, equipment manufacturer drawing, historical maintenance record, work order related to equipment and facilities, etc. The document should support version control. At the same time, the document is associated with the document and the three-dimensional object, and the two-dimensional and three-dimensional linkage in the drawing document.

[0081] (5) Intelligent warehouse management and control

[0082] 1) Material management: Provide plan, monitor data information for capital construction project material management, and provide basic data information for a series of interrelated businesses such as equipment demand plan, equipment monitoring and urging delivery, delivery, and use of the project.

[0083] 2) Delivery plan early warning management: Provide information on the difference between actual delivery progress and plan, automatically identify and warn in time before problems occur.

[0084] 3) Warehouse management: According to the characteristics and storage needs of goods, automatically allocate the most suitable warehouse for goods, monitor the warehouse status in real time, including the number and type of goods; record the storage of goods in each warehouse to facilitate inventory and management, and provide decision support for warehouse operation through analysis of warehouse data.

[0085] The data display layer completes report data viewing, workflow approval, and message pushing services through the portal interface, and performs data display.

[0086] In one embodiment, the data display layer can deploy mobile applications and capital construction collaboration applications, complete data display through the portal interface, report data viewing, workflow approval, and message pushing services, and display integrated video monitoring, construction operation area division, construction personnel management, special work management, construction task information, construction progress, road occupation, on-site radiation operation management, safety risk management, etc. to realize global visual management of capital construction site construction information. Specifically, a 3D visual management platform is established to display various monitoring information, environmental parameters, equipment status, etc. in an intuitive way, which is convenient for managers to perform real-time monitoring and remote operation and maintenance.

[0087] (1) Mobile portal: Custom-developed mobile portal supports user, permission, and content management. The display content of the mobile portal includes: personnel archives, equipment archives, safety measures process archives, video monitoring screen, message pushing, attendance management, capital construction project cost control, and on-site personnel distribution, etc. Business data of modules.

[0088] (1) Mobile portal: Custom-developed mobile portal supports user, permission, and content management. The display content of the mobile portal includes: personnel archives, equipment archives, safety measures process archives, video monitoring screen, message pushing, attendance management, capital construction project cost control, and on-site personnel distribution, etc. Business data of modules.

[0089] (2) Mobile data viewing: The mobile application supports the retrieval and viewing of system data, such as data, charts, curves, and three-dimensional models in each application center. The mobile terminal customizes relevant data monitoring screens to meet the needs of different dimension data display, including progress board, safety statistics, personnel statistics, and other content.

[0090] (3) Message push: Through the integration of information and data subscribed by the mobile terminal, including construction lagging warning data, equipment supply lagging warning, violation messages, and self-reported messages from participating units, different users have different subscription permissions. After subscription, the system pushes relevant information based on subscription.

[0091] (4) Workflow approval: For pending processes in collaborative work systems, the mobile terminal provides unified reminders and performs approval operations. The mobile terminal can perform the following approvals: self-reported approval of participating units, equipment access approval, training application approval, and training examination result approval.

[0092] (II) Smart infrastructure collaborative work application Through the portal interface, comprehensive reports, personal workbench, and authentication and authorization services, data display is completed.

[0093] (1) Portal interface: The portal comprehensively displays the progress, cost, safety management, site operation, personnel management, and other relevant intelligent analysis results of infrastructure projects. By reasonably dividing the site display area, through access control and monitoring video, work task plan, personnel distribution, site operation, and other data intelligent linkage, real-time remote access to comprehensive data and site video cameras, and viewing of site conditions.

[0094] (2) Comprehensive report: Develop and deploy visual forms, flexible report design modules, with functions such as customizable form design, report configuration, and report visualization display.

[0095] (3) Personal workbench: The personal workbench includes pending items and completed items. The items are automatically identified violation-related processing flows, including speeding, not wearing a safety helmet, smoking, personnel falling, and abnormal number of violations. The work flow is converted, and the violation event is audited. After the audit is passed, a safety examination notice is automatically generated.

[0096] (4) Authentication and authorization: The authorization center synchronizes usernames in the system to subsystems at regular intervals or in real time, ensuring the normal operation of the subsystem's built-in permission management.

[0097] It should be noted that the cloud edge collaboration 1+6+N smart power plant smart infrastructure system provided in the present application is a new power generation concept and mode in line with the needs of the times under the background of digital and intelligent transformation of the power industry, based on a super-converged integrated edge cloud platform, covering six application scenarios of power plant infrastructure, safety, operation, maintenance, fuel and management, which can well support various sensing, analysis, modeling, calculation, control, optimization and decision-making technologies, and fully meet the various needs of power plant construction and production. Under the cloud edge collaboration 1+6+N smart power plant smart infrastructure system architecture, the power plant establishes a new management concept for the infrastructure process, helping to achieve overall control of infrastructure.

[0098] The present application also provides a cloud edge collaboration 1+6+N smart power plant smart infrastructure system deployment method, based on any one of the cloud edge collaboration 1+6+N smart power plant smart infrastructure system in the above method embodiments, as shown in Figure 3, the method comprises:

[0099] S1: self-deploy and run any software or application program in the lightweight IaaS layer, realize the basic calculation, storage and calling of network resources of the smart power plant smart infrastructure system;

[0100] S2: set up an application development and deployment environment for any software or application program deployed by the user in the lightweight PaaS layer, and access the data of the terminal sensing device and control device of the smart power plant smart infrastructure system;

[0101] S3: deploy the application and service of the smart power plant smart infrastructure system in the form of micro-service architecture in the lightweight SaaS layer, to meet the various business needs of the smart power plant smart infrastructure system.

[0102] It should be noted that the cloud edge collaboration 1+6+N smart power plant smart infrastructure system deployment method provided by the present application can set up a system exactly the same as the above cloud edge collaboration 1+6+N smart power plant smart infrastructure system, which will not be described here.

[0103] In addition, the cloud edge collaboration 1+6+N smart power plant smart infrastructure system provided by the present application reduces the difficulty of data management and business decision-making, adopts multiple management terminals to complement and cooperate in control, can realize overall collaborative management during the infrastructure period, effectively integrates personnel, location, attendance, work, materials and other information, provides decision-making basis for management layer personnel scheduling, on-site work, equipment and material supervision, and project overall progress, quality, safety, cost management, and has the characteristics of small business concurrency, high reliability, high real-time, flexible expansion, low maintenance difficulty, high information security level, etc.

Claims

1. A cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system, characterized in that, Comprise: Lightweight IaaS layer, lightweight PaaS layer and lightweight SaaS layer; The lightweight IaaS layer is used for users to deploy and run any software or application, realize the basic calculation, storage and calling of network resources of the intelligent power plant intelligent infrastructure system; The lightweight PaaS layer is used to set up the environment for application development and deployment for the user's deployed any software or application, and access the data of the terminal sensing device and control device of the intelligent power plant intelligent infrastructure system; The lightweight SaaS layer is used for the application and service of the intelligent power plant intelligent infrastructure system to be deployed in the form of micro-service architecture, to meet the various business needs of the intelligent power plant intelligent infrastructure system.

2. The cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system of claim 1, wherein, The lightweight IaaS layer mainly includes an infrastructure platform, which is composed of containers, virtual machines, software management platforms and hardware management platforms.

3. The cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system of claim 1, wherein, The lightweight PaaS layer mainly includes a data foundation layer, a data access layer, a data processing layer, a data application layer and a data display layer.

4. The cloud-edge collaboration 1+6+N intelligent power plant intelligent infrastructure system of claim 1, wherein The data foundation layer is used to realize data collection and aggregation of the intelligent power plant intelligent infrastructure system through device terminals; The data access layer is used to transmit the data collected and aggregated by the data foundation layer to the data processing layer through a 5G network; The data processing layer is used for transmission sharing, calculation analysis and interactive fusion of related data, and supports development and integration of customized applications of the lightweight IaaS layer.

5. The cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system of claim 4, wherein, The data transmission mode of the data access layer includes remote access, real-time synchronization and incremental synchronization.

6. The cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system of claim 1, wherein, The data processing layer extraction module extracts raw data from a variety of business databases such as access control terminal system, vehicle gate terminal system, illegal behavior recognition information, progress data, cost data, design drawings, interactive documents, progressive three-dimensional models, risk control data and engineering management data as input of basic data, and then loads the business data into a data warehouse or data mart through a conversion and loading module to generate an OLAP database.

7. The cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system of claim 1, wherein, The data processing layer automatically forms an association body using data management standards through a keyword extraction function, and completes the fusion analysis of multi-source heterogeneous data in the infrastructure process.

8. The cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system of claim 1, wherein, The data processing layer also combines intelligent video analysis algorithm model to analyze the collected video data, when finding illegal behavior, automatically create illegal event, and link illegal site voice broadcast illegal situation, timely send stop signal; According to the personnel basic data collected by the access control terminal, realize the management of participating units.

9. The cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system of claim 1, wherein, The lightweight SaaS layer includes a data application layer and a data display layer; The data application layer is used for establishing a gradual high-precision cloud rendering three-dimensional information model prior to construction progress by perfecting the KKS coding identification system, realizing construction data management and control, quality management, cost control, and engineering data management application; realizing the visualization of the application based on three-dimensional model deployment drawing checking analysis, three-dimensional collision checking, three-dimensional cable laying management, three-dimensional progress analysis, three-dimensional simulation construction, and document management; and realizing the continuous accumulation of data and knowledge based on the data correlation body taking the three-dimensional model as a core carrier; The data display layer completes report data viewing, workflow approval, and message pushing through a portal interface, and performs data display.

10. A cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system deployment method based on the cloud-edge collaborative 1+6+N smart thermal power plant smart infrastructure system of any of claims 1-9, characterized in that, The method comprises: In the lightweight IaaS layer, any software or application is deployed and run by itself to realize the basic calculation, storage, and network resource calling of the smart power plant smart infrastructure system; In the lightweight PaaS layer, an application development and deployment environment is set for any software or application deployed for the user, and data access of terminal sensing devices and control devices of the smart power plant smart infrastructure system is realized; In the lightweight SaaS layer, the application and service of the smart power plant smart infrastructure system are deployed in the form of a micro-service architecture to meet various business demands of the smart power plant smart infrastructure system.

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