Hydropower plant intelligent management system construction method and device, electronic equipment and storage medium

Abstract

The application provides a hydropower plant intelligent management system construction method and device, an electronic equipment and a storage medium. The method comprises the following steps: acquiring power plant design information of a hydropower plant and data collection points contained in the hydropower plant; establishing a full life cycle three-dimensional information model of the hydropower plant according to the power plant design information; establishing a shared data pool of the hydropower plant based on the data collection points and data network planning information of the hydropower plant; establishing a core algorithm library of the hydropower plant based on the shared data pool; generating an intelligent application store of the hydropower plant according to the core algorithm library; and generating a hydropower plant intelligent management system corresponding to the hydropower plant according to the full life cycle three-dimensional information model, the shared data pool, the core algorithm library and the intelligent application store. The technical problem that the construction, development and operation of the intelligent system of the power plant system in the prior art are limited to the operation and maintenance period of the power plant, cannot support the operation of the full life cycle of the power plant, and affect the operation and management effect of the power plant is solved.

Description

Technical Field

[0001] This application relates to the field of intelligent hydropower plant construction technology, and in particular to a method, device, electronic equipment and storage medium for constructing an intelligent management system for hydropower plants. Background Technology

[0002] Currently, facing a more complex and challenging hydropower development environment, it has gradually become an industry consensus to fully utilize new-generation information technologies such as the Internet of Things and artificial intelligence in conjunction with traditional hydropower expertise to develop intelligent construction technologies. Data-driven and intelligent technologies-driven efficient, high-quality, green, and safe engineering construction has become a new construction paradigm.

[0003] In related technologies, the construction of power plant systems usually starts from the needs of unit maintenance and overhaul, dam safety monitoring, etc. during the operation period, and the research on key technologies of smart hydropower plants is carried out. The development and operation of smart systems in power plants are limited to the operation and maintenance period of power plants.

[0004] In this approach, the development and operation of smart systems for power plants are limited to the operation and maintenance period of the power plant, and cannot well support the operation of the power plant throughout its entire life cycle. For example, the development and operation of conventional hydropower and pumped storage power stations cannot leverage the advantages of scale and intensification, which affects the effectiveness of power plant operation and management. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the first objective of this application is to propose a method for constructing a smart management system for hydropower plants, so as to realize the construction of a smart hydropower management system covering the entire life cycle from design and construction to operation, achieve full life cycle operation monitoring of hydropower plants, better support the development and operation of conventional hydropower and pumped storage power stations, improve the level of full life cycle management of hydropower assets, give full play to the advantages of scale and intensification, establish a smart hydropower plant from the perspective of the entire life cycle, and improve the level of construction, operation and management of hydropower stations throughout their entire life cycle.

[0007] The second objective of this application is to propose a construction device for a smart management system for hydropower plants.

[0008] The third objective of this application is to propose an electronic device.

[0009] The fourth objective of this application is to provide a computer-readable storage medium.

[0010] The fifth objective of this application is to provide a computer program product.

[0011] To achieve the above objectives, the first aspect of this application proposes a method for constructing a smart management system for a hydropower plant, comprising: acquiring the power plant design information and data collection points contained within the hydropower plant; establishing a three-dimensional information model of the hydropower plant's entire life cycle based on the power plant design information; establishing a shared data pool for the hydropower plant based on the data collection points and the hydropower plant's data network planning information; establishing a core algorithm library for the hydropower plant based on the shared data pool; generating a smart application store for the hydropower plant based on the core algorithm library; and generating a smart management system for the hydropower plant corresponding to the hydropower plant based on the three-dimensional information model of the entire life cycle, the shared data pool, the core algorithm library, and the smart application store.

[0012] To achieve the above objectives, a second aspect of this application proposes a device for constructing a smart management system for a hydropower plant, comprising: an acquisition module for acquiring power plant design information and data collection points contained within the hydropower plant; a first processing module for establishing a three-dimensional information model of the hydropower plant's entire lifecycle based on the power plant design information; a second processing module for establishing a shared data pool for the hydropower plant based on the data collection points and the hydropower plant's data network planning information; a third processing module for establishing a core algorithm library for the hydropower plant based on the shared data pool; a first generation module for generating a smart application store for the hydropower plant based on the core algorithm library; and a second generation module for generating a smart management system for the hydropower plant corresponding to the hydropower plant based on the three-dimensional information model of the entire lifecycle, the shared data pool, the core algorithm library, and the smart application store.

[0013] To achieve the above objectives, a third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the method for constructing a smart management system for hydropower plants as proposed in the first aspect of this application.

[0014] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for constructing a smart management system for hydropower plants as proposed in the first aspect of this application.

[0015] To achieve the above objectives, the fifth aspect of this application provides a computer program product that, when executed by a processor, performs the construction method for a smart hydropower plant management system as proposed in the first aspect of this application.

[0016] The method, apparatus, electronic equipment, and storage medium for constructing a smart management system for hydropower plants provided in this application acquire the power plant design information and the data collection points contained within the power plant. Based on the power plant design information, a three-dimensional information model of the entire life cycle of the hydropower plant is established. Based on the data collection points and the data network planning information of the hydropower plant, a shared data pool for the hydropower plant is established. Based on the shared data pool, a core algorithm library for the hydropower plant is established. Based on the core algorithm library, a smart application store for the hydropower plant is generated. Based on the three-dimensional information model of the entire life cycle, the shared data pool, the core algorithm library, and the smart application store, a corresponding smart management system for the hydropower plant is generated. This solves the technical problem in the prior art that the construction, development, and operation of smart systems for power plants are limited to the operation and maintenance period of the power plant, and cannot support the operation of the entire life cycle of the power plant, thus affecting the effectiveness of the operation and management of the power plant.

[0017] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0019] Figure 1 A flowchart illustrating a method for constructing a smart management system for a hydropower plant, provided as an embodiment of this application;

[0020] Figure 2 A flowchart illustrating another method for constructing a smart management system for a hydropower plant, provided in an embodiment of this application;

[0021] Figure 3 This is a functional schematic diagram of the building information system model in the embodiments of this application;

[0022] Figure 4 This is a diagram of the full lifecycle smart hydropower plant system architecture in the embodiments of this application;

[0023] Figure 5 A schematic diagram of the structure of a smart management system construction device for a hydropower plant provided in this application embodiment; and

[0024] Figure 6 This is a schematic diagram of another intelligent management system construction device for hydropower plants provided in an embodiment of this application. Detailed Implementation

[0025] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0026] The following describes the construction method and apparatus for a smart management system for hydropower plants according to embodiments of this application, with reference to the accompanying drawings.

[0027] Figure 1 This is a flowchart illustrating a method for constructing a smart management system for a hydropower plant, as provided in an embodiment of this application.

[0028] In related technologies, the construction of power plant systems usually starts from the needs of unit maintenance and overhaul, dam safety monitoring, etc. during the operation period, and the research on key technologies of smart hydropower plants is carried out. The development and operation of smart systems in power plants are limited to the operation and maintenance period of power plants.

[0029] In this approach, the development and operation of smart systems for power plants are limited to the operation and maintenance period of the power plant, and cannot well support the operation of the power plant throughout its entire life cycle. For example, the development and operation of conventional hydropower and pumped storage power stations cannot leverage the advantages of scale and intensification, which affects the effectiveness of power plant operation and management.

[0030] To address this issue, embodiments of this application provide a method for constructing a smart management system for hydropower plants, to achieve, for example... Figure 1 As shown, the construction method of the intelligent management system for this hydropower plant includes the following steps:

[0031] S101: Obtain the power plant design information and the data collection points contained within the hydropower plant.

[0032] Among them, power plant design information refers to geological exploration data, internal and external design drawings of the power plant, and geographic information models used during the design phase of a hydropower plant.

[0033] Among them, data collection points refer to the relevant data monitoring points within the hydropower plant that require data monitoring. Data collection points are set up to collect data in order to achieve daily operation monitoring of the hydropower plant.

[0034] In this embodiment of the application, when obtaining the power plant design information of a hydropower plant, the specific location and scale of the hydropower plant, including the type of hydropower station (such as turbine power generation, dam power generation, etc.), can be determined during the development and design stage of the hydropower plant. The design drawings, equipment list, technical specifications and related documents of the hydropower plant can be collected for subsequent analysis and data extraction. The collected geological exploration data, internal and external design drawings of the power plant and the relevant data information such as the geographic information model required during the power plant design stage are used as the power plant design information of the hydropower plant.

[0035] In this embodiment of the application, when acquiring the data collection points contained within the hydropower plant, the data collection requirements can be determined first. The types of data to be collected can be determined, such as power system parameters, water flow, water level, and water pressure. The data collection frequency and accuracy requirements can also be determined to ensure data accuracy and real-time performance. Based on the data collection requirements, corresponding data collection points are arranged for the data indicators that need to be monitored, thereby obtaining the data collection points contained within the hydropower plant.

[0036] S102: Based on the power plant design information, establish a three-dimensional information model of the hydropower plant throughout its entire life cycle.

[0037] Among them, the full life cycle three-dimensional information model refers to a three-dimensional information processing model that can be used for the entire life cycle of a hydropower plant, based on the power plant design information.

[0038] After obtaining the power plant design information of the hydropower plant as described above, this application embodiment can establish a three-dimensional information model of the hydropower plant's entire life cycle based on the power plant design information.

[0039] In this embodiment, the main work of constructing the Huishui Hydropower Plant is, firstly, to establish a three-dimensional model of the hydropower station's entire life cycle. When establishing the three-dimensional information model of the hydropower plant's entire life cycle based on the power plant's design information, the main results of the feasibility study and design phases can be incorporated based on the power plant's design information. This involves combining geological survey data, design drawings, and Building Information Modeling / Geographic Information System (BIM / GIS) models included in the power plant's design information to construct a three-dimensional information model of the entire life cycle. This model will reflect the aforementioned data and drawings. The design drawings can be rendered in three dimensions using 3D modeling software, which can intuitively display the hydropower plant's appearance, internal structure, functional zoning, and key locations, and mark various hardware, equipment, sensors, etc.

[0040] In this embodiment, establishing a three-dimensional information model of the entire lifecycle of a hydropower plant requires combining BIM (Building Information Modeling) technology and hydropower plant design information. Considering the entire lifecycle of the hydropower plant from construction and operation to maintenance, suitable BIM software or platforms for the entire lifecycle management of the hydropower plant can be selected. This ensures that the selected software can support the modeling and management of special equipment and processes within the hydropower plant, converting design information into a digital three-dimensional model, including buildings, hydropower equipment, pipelines, and transmission lines. The model integrates natural environmental information such as topography and landforms of the hydropower plant site, and marks the locations of actual data collection points, such as sensors and monitoring equipment, in the three-dimensional model. This ensures the model can interface with a real-time monitoring system, enabling real-time data updates and display. The entire lifecycle management system includes information management for the construction, operation, and maintenance phases, integrating equipment maintenance information, operating status, and safety monitoring data into the BIM model. This allows for information sharing and collaborative work among various departments within the three-dimensional information model, improving the overall management efficiency of the hydropower plant.

[0041] In other embodiments, the full lifecycle 3D information model can be updated periodically to ensure that the model is consistent with the actual situation and reflects the latest changes and updates of the hydropower plant. The model can be continuously optimized and new functions and information can be added to support the management and decision-making of the hydropower plant throughout its entire lifecycle.

[0042] S103: Based on the data collection points and data network planning information of the hydropower plant, establish a shared data pool for the hydropower plant.

[0043] Among them, the data sharing pool refers to the establishment of a data storage system within the hydropower plant that can be used for barrier-free exchange of data across the entire plant.

[0044] After obtaining the data collection points contained within the hydropower plant as described above, this application embodiment can establish a shared data pool for the hydropower plant based on the data collection points and the hydropower plant's data network planning information.

[0045] In this embodiment of the application, when establishing a shared data pool for a hydropower plant based on data collection points and the hydropower plant's data network planning information, the hydropower plant's data network architecture can be planned first. This allows the hydropower plant's data network to collect all the data that should be collected within the plant, and all data collection points are coded using unified rules for easy access. After collecting various operational data of the hydropower plant through the data collection points, unified data storage can be performed using the hydropower plant's servers and internal databases. This breaks down the barriers between hydropower plant data, avoids duplicate data collection and difficulties in data retrieval, and establishes a shared data pool for the entire plant, facilitating better operation and management of the hydropower plant.

[0046] In other embodiments, data collection points in key equipment and the environment within the hydropower plant can be identified, including sensors and monitoring equipment. The data types and parameters covered by these collection points, such as power system parameters, water flow, water level, and water pressure, can be determined. Based on the distribution and data types of the collection points, a data network plan for the hydropower plant can be developed, including data transmission channels and network architecture, ensuring that the network plan meets the real-time, stability, and security requirements of data transmission. Then, a suitable data storage solution can be selected, such as cloud storage, local server storage, or a hybrid storage method, ensuring that the data storage solution supports large-capacity data storage, fast data retrieval, and backup and recovery functions. A data management system can be established, including functional modules for data collection, storage, cleaning, processing, and analysis, ensuring that the data management system has data quality control, access control, and data sharing functions. Data obtained from the collection points is integrated into a shared data pool, establishing unified data standards and formats to ensure that the data pool can achieve cross-departmental and cross-system data sharing and integration. A data sharing platform or interface is designed for relevant departments or personnel to access and query data. Data visualization tools and reports are developed to help users intuitively understand the operating status and trends of the hydropower plant.

[0047] In other embodiments, measures may be taken to ensure data security and privacy, such as setting data security measures, including data encryption, access control, and data backup.

[0048] S104: Establish the core algorithm library for hydropower plants based on a shared data pool.

[0049] The core algorithm library refers to the algorithm library consisting of algorithms designed for various data monitoring needs within hydropower plants.

[0050] In this embodiment of the application, after establishing a shared data pool for the hydropower plant based on the data collection points and the data network planning information of the hydropower plant, a core algorithm library for the hydropower plant can be established based on the shared data pool.

[0051] In this embodiment of the application, when establishing the core algorithm library of a hydropower plant based on a shared data pool, the problems can be identified first, namely, the data monitoring objects that need to be focused on within the hydropower plant, such as determining whether a transmission line has leakage. Then, the relevant main monitoring indicators can be identified, and the main monitoring indicators can be determined from the shared data pool. Weight values ​​are assigned to each main monitoring indicator, and data monitoring algorithms are established for each data monitoring object based on each main monitoring indicator and weight value. By systematically identifying all data monitoring objects and establishing data monitoring algorithms for them, all the algorithms can constitute the core algorithm library of the hydropower plant. Furthermore, the algorithms can be classified and processed accordingly, and the algorithms in the core algorithm library can be further optimized based on the actual application results of the algorithms.

[0052] For example, if it is necessary to determine whether there is a leakage in a power transmission line, it is necessary to analyze data indicators such as voltage at both ends of the line, line current, temperature, and sulfur hexafluoride concentration. When a leakage actually occurs, the above data may not all show significant changes. The above data indicators are combined according to the actual application scenario requirements, and weights are assigned to each data indicator according to the importance and reliability of multiple data indicators. Data mining is then performed, and the mapping relationship between the mined data and the leakage phenomenon is the algorithm. Through preliminary planning and sorting, the application methods of data mining and summarization were summarized, and a core algorithm library was built.

[0053] In this embodiment of the application, simply collecting data is not enough; the value of this data can only be realized by reasonable mining and use. The data mining function of the core algorithm library is a marker of the system's intelligence level. For a problem, the more thorough the data mining, the more accurate the reflection of the problem. A complete core algorithm library is established through in-depth mining of data in the shared data pool.

[0054] S105: Generate a smart application store for hydropower plants based on the core algorithm library.

[0055] The intelligent application store refers to a software application library established for key monitoring work in hydropower plants after processing the algorithms in the core algorithm library. The intelligent application store contains multiple applications and related software extension packages.

[0056] In this embodiment, when generating a smart application store for a hydropower plant based on the core algorithm library, algorithms reflecting the same problem in the core algorithm library can be packaged and formed into a dedicated software using computer technology, which is a "product". Multiple products constitute the store. In many mature computational simulation software, the software itself is often only a foundation. To achieve specific functions, specific extension software packages need to be purchased. After the smart hydropower plant system is built, it is also a general basic platform. Users can select the functional application software they need from the smart application store according to their own needs, which is the selection process. This not only increases the versatility of the smart platform, but also meets the individual needs of different hydropower plant construction and operation.

[0057] S106: Generate a smart management system for hydropower plants based on the full lifecycle three-dimensional information model, shared data pool, core algorithm library, and smart application store.

[0058] In this embodiment, a smart management system for a hydropower plant can be generated based on a full lifecycle 3D information model, a shared data pool, a core algorithm library, and a smart application store. The full lifecycle 3D information model, shared data pool, core algorithm library, and smart application store can be reasonably constructed and processed based on computer technology, integrating multiple functions into one system to obtain a smart management system for a hydropower plant.

[0059] In this embodiment, by acquiring the hydropower plant's design information and the data collection points within the hydropower plant, a three-dimensional information model of the hydropower plant's entire lifecycle is established based on the plant's design information. A shared data pool for the hydropower plant is established based on the data collection points and the hydropower plant's data network planning information. A core algorithm library for the hydropower plant is established based on the shared data pool. A smart application store for the hydropower plant is generated based on the core algorithm library. A corresponding smart management system for the hydropower plant is generated based on the three-dimensional information model of the entire lifecycle, the shared data pool, the core algorithm library, and the smart application store. This enables the construction of a smart hydropower management system covering the entire lifecycle from design and construction to operation, achieving full lifecycle operation monitoring of the hydropower plant. This better supports the development and operation of conventional hydropower and pumped storage power stations, improves the level of full lifecycle management of hydropower assets, fully leverages the advantages of scale and intensification, establishes a smart hydropower plant from a full lifecycle perspective, and improves the level of construction, operation, and management of hydropower stations throughout their entire lifecycle.

[0060] This embodiment provides another method for constructing a smart management system for hydropower plants. Figure 2 This is a flowchart illustrating another method for constructing a smart management system for a hydropower plant, as provided in an embodiment of this application.

[0061] like Figure 2 As shown, the construction method of this intelligent management system for hydropower plants may include the following steps:

[0062] S201: Obtain the power plant design information and the data collection points contained within the hydropower plant.

[0063] For a detailed description of S201, please refer to the above embodiments, which will not be repeated here.

[0064] S202: Based on the power plant design information, establish a three-dimensional information model of the hydropower plant throughout its entire life cycle.

[0065] Optionally, in some embodiments, the power plant design information includes: hydropower plant geological survey information, hydropower plant design drawings, and building information system (BIS) model. When establishing a full lifecycle 3D information model of the hydropower plant based on the power plant design information, the hydropower plant design drawings can be processed into 3D shapes using the hydropower plant geological survey information and 3D modeling tools to obtain initial 3D drawings of the hydropower plant. These initial 3D drawings are used to display the hydropower plant's external structure, internal structure, functional zoning, and key location information. Based on the hydropower plant design drawings, the hardware, equipment, and sensors of the hydropower plant are marked in the initial 3D drawings to obtain the target 3D drawings of the hydropower plant. Finally, a full lifecycle 3D information model is generated based on the target 3D drawings and the BIS model.

[0066] In this embodiment, the power plant design information includes: hydropower plant geological survey information, hydropower plant design drawings, and a building information system (BIS) model. The BIS model can be a building information modeling (BIM) / geographic information system (GIS) model, such as... Figure 3 As shown, Figure 3 This is a functional schematic diagram of the building information system model in this application embodiment. When establishing a three-dimensional information model of the hydropower plant's entire life cycle based on the power plant design information, design information such as hydropower plant geological survey information, design drawings, and building information system models can be collected and organized. Then, three-dimensional processing is performed. Using a three-dimensional modeling tool, the hydropower plant design drawings are processed into three-dimensional drawings to obtain initial three-dimensional drawings of the hydropower plant. The initial three-dimensional drawings display the hydropower plant's external structure, internal structure, functional zoning, and key location information. Hardware equipment and sensors can then be marked on the initial three-dimensional drawings, based on the hydropower plant design drawings. Information is used to create 3D drawings of the target hydropower plant. Combining these drawings with a Building Information System (BIS) model, a full lifecycle 3D information model of the hydropower plant is generated. This model includes data and information from the design, construction, and operation phases of the hydropower plant, as well as the associated information of various equipment, pipelines, cables, and other elements. Furthermore, the construction of this full lifecycle 3D information model enables data integration with other systems, achieving information sharing and updates. Regularly updating the model data reflects changes in the actual operation of the hydropower plant. Applying this full lifecycle 3D information model to the design, operation, and maintenance of the hydropower plant provides support for decision-making. Establishing a comprehensive model management system ensures the model's safety and reliability.

[0067] S203: Based on the data collection points and data network planning information of the hydropower plant, establish a shared data pool for the hydropower plant.

[0068] Optionally, in some embodiments, when establishing a shared data pool for a hydropower plant based on data collection points and the hydropower plant's data network planning information, the data collection points can be uniformly coded according to the data network planning information to configure a unified data interface for the data collection points. The hydropower plant operation and maintenance data collected by the data collection points can be called based on the unified data interface, and the hydropower plant operation and maintenance data can be stored in the hydropower plant's internal database and internal server to obtain the shared data pool.

[0069] S204: Identify the target monitoring objects of the hydropower plant.

[0070] Among them, the target monitoring object refers to the object that needs to be monitored and focused on, such as whether there is leakage in a certain transmission line in a hydropower plant.

[0071] In this embodiment of the application, the power generation equipment, power transmission equipment, water conservancy facilities, etc. of the hydropower plant can be analyzed and processed to determine the objects that need to be monitored in a key manner, and the target monitoring objects of the hydropower plant can be obtained. The target monitoring objects may also include the hydrological and meteorological conditions, safety conditions, and environmental conditions of the hydropower plant.

[0072] S205: Determine the monitoring data indicators corresponding to the target monitoring object from the shared data pool.

[0073] In this embodiment of the application, after determining the target monitoring object of the hydropower plant as described above, the monitoring data indicators corresponding to the target monitoring object can be determined from the shared data pool.

[0074] In this embodiment of the application, when determining the monitoring data indicators corresponding to the target monitoring object from the shared data pool, the main monitoring indicators related to the target monitoring object can be sorted out. For example, for the above-mentioned line leakage problem, the main monitoring indicators that should be sorted out are at least four types: voltage, current, voltage drop, and sulfur hexafluoride concentration. The main monitoring indicators obtained can then be used as the monitoring data indicators corresponding to the target monitoring object.

[0075] S206: Determine the indicator weight information corresponding to the monitoring data indicators.

[0076] Optionally, in some embodiments, when determining the indicator weight information corresponding to the monitoring data indicators, the initial weight value corresponding to each monitoring data indicator can be determined, historical monitoring result data of the target monitoring object can be obtained, the importance information of the numerical change of each monitoring data indicator relative to the monitoring result of the target monitoring object can be determined based on the historical monitoring result data, and the initial weight value can be adjusted based on the importance information to obtain the indicator weight information.

[0077] In this embodiment of the application, when determining the indicator weight information corresponding to the monitoring data indicators, the importance of the monitoring data indicators can be analyzed in a weighted manner. Based on past practical work cases, different initial weights are assigned to these monitoring data indicators to obtain initial weight values. A feasible initial weight setting is shown in Table 1 below:

[0078] Table 1

[0079]

[0080] After determining the initial weight values ​​corresponding to each monitoring data indicator as described above, this embodiment of the application can use historical monitoring result data of the target monitoring object to determine the importance information of the numerical changes of each monitoring data indicator relative to the monitoring results of the target monitoring object. The initial weight values ​​are adjusted according to the importance information to obtain indicator weight information. Specifically, the value is 1 when the monitoring value meets the key indicator and 0 when it does not. With the initial weight value set, the value of each indicator can be multiplied by the weight value according to the actual monitoring situation to calculate a percentage between 0 and 100%. The higher the percentage, the greater the probability of leakage. This calculation method is applied, and the probability of the phenomenon is continuously calculated using the obtained monitoring values ​​and compared with the actual situation. When it is found that the change of a certain object has a significant impact on the actual phenomenon, the weight of the phenomenon should be increased appropriately, and vice versa. This repeated self-correction will make the correspondence between the phenomenon and the object more and more accurate. If the ideal result cannot be obtained, it indicates that there is a problem with this algorithm or that the monitoring object is overlooked, and the algorithm needs to be adjusted accordingly.

[0081] S207: Based on the indicator weight information and monitoring data indicators, establish a target monitoring algorithm for the target monitoring object.

[0082] In this embodiment of the application, after determining the monitoring data indicators corresponding to the target monitoring object from the shared data pool and determining the indicator weight information corresponding to the monitoring data indicators, a target monitoring algorithm for the target monitoring object can be established based on the indicator weight information and the monitoring data indicators.

[0083] In this embodiment of the application, when establishing a target monitoring algorithm for a target monitoring object based on indicator weight information and monitoring data indicators, the monitoring data indicators can be combined and processed according to the indicator weight information, and relevant indicator thresholds and scoring standards can be set to form a target monitoring algorithm for the target monitoring object.

[0084] S208: Establish a core algorithm library based on the target monitoring algorithm.

[0085] In this embodiment of the application, after establishing the target monitoring algorithm for the target monitoring object based on the indicator weight information and monitoring data indicators, a core algorithm library can be established based on the target monitoring algorithm. Multiple target detection algorithms can be classified and combined to form the final core algorithm library.

[0086] S209: Generate a smart application store for hydropower plants based on the core algorithm library.

[0087] Optionally, in some embodiments, when generating a smart application store for a hydropower plant based on a core algorithm library, the target monitoring algorithms in the core algorithm library can be classified according to the target monitoring object. Based on the target monitoring algorithms related to the same target monitoring object, a dedicated monitoring application for the target monitoring object can be generated. An extended application package for the dedicated monitoring application can be obtained. Based on multiple dedicated monitoring applications and extended application packages, a smart application store can be generated.

[0088] In this embodiment, target monitoring algorithms in the core algorithm library can be classified according to the target monitoring object. Algorithms reflecting the same problem can be packaged, and a dedicated monitoring application for the target monitoring object can be generated based on the target monitoring algorithm related to the same target monitoring object. Using computer technology, a dedicated software is formed, which is a "product". Multiple products form a store. In many mature computational simulation software, the software itself is often only a basic one. To achieve specific functions, specific extension software packages need to be purchased. Therefore, extension application packages for dedicated monitoring applications can be obtained. Based on multiple dedicated monitoring applications and extension application packages, a smart application store is generated. After the smart hydropower plant system is built, it is also a general basic platform. Users can select the functional application software they need from the smart application store according to their needs, which is the selection process. In this way, the versatility of the smart platform is increased, and the individual needs of different hydropower plant construction and operation are met.

[0089] S210: Generate a smart management system for hydropower plants based on the full lifecycle three-dimensional information model, shared data pool, core algorithm library, and smart application store.

[0090] For example, such as Figure 4 As shown, Figure 4This is a system architecture diagram of a smart hydropower plant throughout its entire lifecycle, as described in this application. Through the aforementioned methods and steps, the construction of a smart hydropower plant is completed, meeting the needs of planning and design, construction, and operation and maintenance. During the planning phase, a digital twin panoramic information model is created using 3D modeling to intuitively understand the planning and design. During the construction phase, the 3D model displays the changes in the hydropower plant over time, providing an intuitive understanding of the construction progress and planning, promptly reflecting problems during construction and guiding on-site problem handling. Evaluation can also be performed after handling. During this process, data is simultaneously collected, stored, and archived. During the operation and maintenance phase, the smart hydropower plant collects operational data through detection equipment, performs data analysis through algorithms, and guides the plant's operation and maintenance and daily work based on the analysis results. The analysis results are continuously compared with the actual situation for iterative self-optimization. During the construction phase, the system manages various construction technologies, achieving target management, assessment, evaluation, and data archiving for each technology. During the operation and maintenance phase, the system manages power plant operation and maintenance technologies, mainly including online monitoring of dam safety and unit maintenance and repair.

[0091] The smart hydropower plant system architecture proposed in this application proposes a unified platform construction to build a shared data architecture. Through interface development, it enables task-oriented data extraction, breaking down data barriers between existing systems and promoting efficient data flow and utilization. This allows algorithmic models reflecting the core operational behavior of the dam and generating units to undergo long-term learning and evolution based on data, continuously improving the accuracy and quality of algorithm analysis, prediction, and control. Mature core algorithms that have been tested in practice are continuously embedded in the platform and encapsulated in low-code to form drag-and-drop data analysis functions for flexible use by system software or users. This supports the release and deployment of products by various smart technology developers, serving different stages of engineering design, construction, and operation and maintenance. The platform is also used to evaluate and assess the application effects of various smart technologies, achieving full-process management and utilization of information data throughout the power station's entire lifecycle. All manageable components of the hydropower station are modeled and coded (considering the fusion generation based on the design's BIM / GIS model), serving as a unified model base for co-construction and sharing. Subsequently, at different stages of design, construction, and operation, information attributes of different objects in the hydropower station are continuously assigned and updated.

[0092] In this embodiment, by acquiring the hydropower plant's design information and the data collection points within the hydropower plant, a three-dimensional information model of the hydropower plant's entire lifecycle is established based on the plant's design information. A shared data pool for the hydropower plant is established based on the data collection points and the hydropower plant's data network planning information. A core algorithm library for the hydropower plant is established based on the shared data pool. A smart application store for the hydropower plant is generated based on the core algorithm library. A corresponding smart management system for the hydropower plant is generated based on the three-dimensional information model of the entire lifecycle, the shared data pool, the core algorithm library, and the smart application store. This enables the construction of a smart hydropower management system covering the entire lifecycle from design and construction to operation, achieving full lifecycle operation monitoring of the hydropower plant. This better supports the development and operation of conventional hydropower and pumped storage power stations, improves the level of full lifecycle management of hydropower assets, fully leverages the advantages of scale and intensification, establishes a smart hydropower plant from a full lifecycle perspective, and improves the level of construction, operation, and management of hydropower stations throughout their entire lifecycle.

[0093] To achieve the above embodiments, this application also proposes a construction device for a smart management system for hydropower plants.

[0094] Figure 5 This is a structural schematic diagram of a smart management system construction device for a hydropower plant, provided as an embodiment of this application.

[0095] like Figure 5 As shown, the intelligent management system construction device 50 for this hydropower plant includes:

[0096] The acquisition module 501 is used to acquire the power plant design information and the data collection points contained within the hydropower plant.

[0097] The first processing module 502 is used to establish a three-dimensional information model of the entire life cycle of the hydropower plant based on the power plant design information.

[0098] The second processing module 503 is used to establish a shared data pool for the hydropower plant based on the data collection points and the data network planning information of the hydropower plant.

[0099] The third processing module 504 is used to establish the core algorithm library of the hydropower plant based on the shared data pool;

[0100] The first generation module 505 is used to generate a smart application store for hydropower plants based on the core algorithm library.

[0101] The second generation module 506 is used to generate a smart management system for the hydropower plant based on the full life cycle three-dimensional information model, shared data pool, core algorithm library, and smart application store.

[0102] Furthermore, in one possible implementation of the embodiments of this application, such as Figure 6 As shown, Figure 6 This is a structural schematic diagram of another intelligent management system construction device for hydropower plants provided in this application. The power plant design information includes: hydropower plant geological survey information, hydropower plant design drawings, and building information system model.

[0103] The first processing module 502 includes:

[0104] The first processing submodule 5021 is used to perform three-dimensional processing on the hydropower plant design drawings based on the hydropower plant geological survey information and three-dimensional modeling processing tools to obtain the initial three-dimensional drawings of the hydropower plant. The initial three-dimensional drawings of the hydropower plant are used to display the external structure, internal structure, functional zoning of the hydropower plant, and key location information of the hydropower plant.

[0105] The second processing submodule 5022 is used to mark the hardware, equipment and sensors of the hydropower plant in the initial three-dimensional drawing of the hydropower plant according to the hydropower plant design drawings, so as to obtain the three-dimensional drawing of the target hydropower plant.

[0106] The generation submodule 5023 is used to generate a full life cycle 3D information model based on the target hydropower plant's 3D drawings and building information system model.

[0107] Furthermore, in one possible implementation of this application embodiment, the second processing module 503 is specifically used for:

[0108] Based on the data network planning information, the data collection points are uniformly coded according to a unified rule, so as to configure a unified data interface for the data collection points.

[0109] The hydropower plant operation and maintenance data collected from data collection points is accessed through a unified data interface.

[0110] The operation and maintenance data of the hydropower plant is stored in the hydropower plant's internal database and internal server to obtain a shared data pool.

[0111] Furthermore, in one possible implementation of this application embodiment, the third processing module 504 is specifically used for:

[0112] Identify the target monitoring objects for the hydropower plant;

[0113] Determine the monitoring data indicators corresponding to the target monitoring object from the shared data pool;

[0114] Determine the indicator weight information corresponding to the monitoring data indicators;

[0115] Based on indicator weight information and monitoring data indicators, establish a target monitoring algorithm for the target monitoring object;

[0116] Based on the target monitoring algorithm, a core algorithm library was established.

[0117] Furthermore, in one possible implementation of this application embodiment, the third processing module 504 is further configured to:

[0118] Determine the initial weight values ​​for each monitoring data indicator;

[0119] Obtain historical monitoring data of the target monitoring object;

[0120] Based on historical monitoring data, determine the importance of the numerical changes of each monitoring data indicator relative to the monitoring results of the target monitoring object;

[0121] The initial weight values ​​are adjusted based on the importance information to obtain the indicator weight information.

[0122] Furthermore, in one possible implementation of this application embodiment, the first generation module 505 is specifically used for:

[0123] Based on the target being monitored, the target monitoring algorithms in the core algorithm library are classified and processed.

[0124] Based on the target monitoring algorithm associated with the same target monitoring object, generate a dedicated monitoring application for the target monitoring object;

[0125] Obtain the extended application package for the dedicated monitoring application;

[0126] A smart app store is generated based on multiple dedicated monitoring applications and extended application packages.

[0127] It should be noted that the foregoing explanation of the embodiment of the construction method of the intelligent management system for hydropower plants also applies to the construction device of the intelligent management system for hydropower plants in this embodiment, and will not be repeated here.

[0128] In this embodiment, by acquiring the hydropower plant's design information and the data collection points within the hydropower plant, a three-dimensional information model of the hydropower plant's entire lifecycle is established based on the plant's design information. A shared data pool for the hydropower plant is established based on the data collection points and the hydropower plant's data network planning information. A core algorithm library for the hydropower plant is established based on the shared data pool. A smart application store for the hydropower plant is generated based on the core algorithm library. A corresponding smart management system for the hydropower plant is generated based on the three-dimensional information model of the entire lifecycle, the shared data pool, the core algorithm library, and the smart application store. This enables the construction of a smart hydropower management system covering the entire lifecycle from design and construction to operation, achieving full lifecycle operation monitoring of the hydropower plant. This better supports the development and operation of conventional hydropower and pumped storage power stations, improves the full lifecycle management level of hydropower assets, fully leverages the advantages of scale and intensification, establishes a smart hydropower plant from a full lifecycle perspective, and improves the full lifecycle construction, operation, and management level of hydropower stations.

[0129] To achieve the above embodiments, this application also proposes that such collection / sharing includes, but is not limited to, notifying users to read the user agreement / user notification and sign an agreement / authorization that includes the authorization of relevant user information before they use the function. Furthermore, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others authorized to access such personal information data comply with their privacy policies and procedures.

[0130] This application is intended to provide an implementation scheme for users to selectively prevent the use or access to their personal information data. Specifically, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information is de-identified to protect user privacy.

[0131] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0132] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0133] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0134] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0135] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0136] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0137] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0138] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for constructing a smart management system for a hydropower plant, characterized in that, Includes the following steps: Obtain the power plant design information and the data collection points contained within the hydropower plant; Based on the power plant design information, establish a three-dimensional information model of the hydropower plant throughout its entire life cycle; Based on the data collection points and the data network planning information of the hydropower plant, a shared data pool for the hydropower plant is established. Based on the shared data pool, the core algorithm library of the hydropower plant is established; Based on the core algorithm library, a smart application store for the hydropower plant is generated; The hydropower plant intelligent management system is generated based on the full life cycle three-dimensional information model, the shared data pool, the core algorithm library, and the intelligent application store. The power plant design information includes: hydropower plant geological survey information, hydropower plant design drawings, and building information system model; The step of establishing a three-dimensional information model of the hydropower plant's entire life cycle based on the power plant's design information includes: The hydropower plant design drawings are processed into three dimensions using the hydropower plant geological survey information and three-dimensional modeling tools to obtain the initial three-dimensional drawings of the hydropower plant. The initial three-dimensional drawings of the hydropower plant are used to show the external structure, internal structure, functional zoning, and key location information of the hydropower plant. Based on the hydropower plant design drawings, the hardware, equipment, and sensors of the hydropower plant are marked in the initial three-dimensional drawing of the hydropower plant to obtain the three-dimensional drawing of the target hydropower plant. The full life cycle 3D information model is generated based on the target hydropower plant's 3D drawings and the building information system model. The establishment of the core algorithm library for the hydropower plant based on the shared data pool includes: Identify the target monitoring objects of the hydropower plant; From the shared data pool, determine the monitoring data indicators corresponding to the target monitoring object; Determine the indicator weight information corresponding to the monitoring data indicators; Based on the indicator weight information and the monitoring data indicators, a target monitoring algorithm for the target monitoring object is established. Based on the target monitoring algorithm, the core algorithm library is established.

2. The method according to claim 1, characterized in that, The establishment of a shared data pool for the hydropower plant based on the data collection points and the hydropower plant's data network planning information includes: The data collection points are processed using unified rule encoding based on the data network planning information, so as to configure a unified data interface for the data collection points. Based on the unified data interface, the hydropower plant operation and maintenance data collected by the data collection points are invoked; The hydropower plant's operation and maintenance data are stored in the hydropower plant's internal database and internal server to obtain the shared data pool.

3. The method according to claim 1, characterized in that, The step of determining the indicator weight information corresponding to the monitoring data indicator includes: Determine the initial weight value corresponding to each of the monitoring data indicators; Obtain historical monitoring result data of the target monitoring object; Based on the historical monitoring results data, determine the importance information of the numerical changes of each monitoring data indicator relative to the monitoring results of the target monitoring object; The initial weight value is adjusted based on the importance information to obtain the indicator weight information.

4. The method according to claim 1, characterized in that, The step of generating a smart application store for the hydropower plant based on the core algorithm library includes: Based on the target monitoring object, the target monitoring algorithms in the core algorithm library are classified and processed. Based on the target monitoring algorithm associated with the same target monitoring object, a dedicated monitoring application for the target monitoring object is generated; Obtain the extended application package of the dedicated monitoring application; The smart application store is generated based on the multiple dedicated monitoring applications and the extended application packages.

5. A device for constructing a smart management system for a hydropower plant, characterized in that, include: The acquisition module is used to acquire the power plant design information of the hydropower plant and the data collection points contained within the hydropower plant; The first processing module is used to establish a three-dimensional information model of the hydropower plant's entire life cycle based on the power plant design information, which includes: hydropower plant geological survey information, hydropower plant design drawings, and building information system model. The second processing module is used to establish a shared data pool for the hydropower plant based on the data collection points and the data network planning information of the hydropower plant. The third processing module is used to establish the core algorithm library of the hydropower plant based on the shared data pool; The first generation module is used to generate a smart application store for the hydropower plant based on the core algorithm library. The second generation module is used to generate the hydropower plant smart management system corresponding to the hydropower plant based on the full life cycle three-dimensional information model, the shared data pool, the core algorithm library, and the smart application store. The first processing module is further configured to perform three-dimensional processing on the hydropower plant design drawings based on the hydropower plant geological survey information and three-dimensional modeling processing tools to obtain the initial three-dimensional drawings of the hydropower plant, wherein the initial three-dimensional drawings of the hydropower plant are used to display the external structure, internal structure, functional zoning of the hydropower plant and key location information of the hydropower plant; Based on the hydropower plant design drawings, the hardware, equipment, and sensors of the hydropower plant are marked in the initial three-dimensional drawing of the hydropower plant to obtain the three-dimensional drawing of the target hydropower plant. The full life cycle 3D information model is generated based on the target hydropower plant's 3D drawings and the building information system model. The third processing module is also used to determine the target monitoring object of the hydropower plant; From the shared data pool, determine the monitoring data indicators corresponding to the target monitoring object; Determine the indicator weight information corresponding to the monitoring data indicators; Based on the indicator weight information and the monitoring data indicators, a target monitoring algorithm for the target monitoring object is established. Based on the target monitoring algorithm, the core algorithm library is established.

6. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-4.

8. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1-4.

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