Water-power engineering real-time monitoring system and method based on BIM, equipment and storage medium

Abstract

The embodiment of the invention provides a BIM-based hydropower engineering real-time monitoring system and method, equipment and a storage medium, and the method comprises the steps: obtaining operation parameters and environment parameters of hydropower engineering equipment, the operation parameters comprise at least one of operation voltage, equipment operation current, equipment temperature, water flow speed, water flow rate, pipeline pressure and equipment vibration, and the environment parameters comprise at least one of environment temperature and environment humidity; converting the operation parameters and the environment parameters into visual operation data and displaying the visual operation data; performing state analysis on the operation parameters and the environment parameters based on a data AI analysis model, and generating corresponding state analysis data; and converting the state analysis data into visual state data and displaying the visual state data. According to the invention, fine monitoring of the running state of the hydropower engineering equipment is realized, the three-dimensional visual model of the hydropower engineering is visualized, and the equipment running parameters and environmental data are embedded in the model, so that the visualization degree of the monitoring data is improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of engineering data visualization management, and in particular to a BIM-based real-time monitoring system and method, equipment, and storage medium for hydropower projects. Background Art

[0002] Hydropower project construction is characterized by long construction periods, diverse monitoring data types, and high operational safety requirements. Currently, water conservancy and hydropower project construction management primarily uses database technology to manage various process data, including project safety data, quality data, progress data, resource input data, and so on.

[0003] Currently, BIM technology has become a core technology related to engineering construction, urban development, and management, and is being applied and rapidly developing in multiple engineering fields, including architecture, municipal administration, railways, highways, electricity, water conservancy, and petrochemicals. However, in China, the professional design software commonly used in the hydropower engineering field is mostly foreign or redeveloped based on foreign BIM platforms, posing the risk of "infrastructure data leakage." Furthermore, the lack of uniformity in BIM platforms and regulations has led to insufficient coordination and cooperation in digital work across design, construction, and operation. This has made it difficult to connect key data interfaces between different platforms at each stage, significantly reducing production efficiency. Summary of the Invention

[0004] In view of this, embodiments of the present application provide a BIM-based real-time monitoring method for hydropower projects. One or more embodiments of the present application also involve a BIM-based real-time monitoring system for hydropower projects, a computing device, a computer-readable storage medium, and a computer program to address technical deficiencies in the prior art.

[0005] In a first aspect, an embodiment of the present application provides a BIM-based real-time monitoring method for hydropower projects, comprising: obtaining operating parameters and environmental parameters of hydropower project equipment, wherein the operating parameters include at least one of the following: operating voltage, equipment operating current, equipment temperature, water flow velocity, water flow rate, pipeline pressure and equipment vibration, and the environmental parameters include at least one of the following: ambient temperature, ambient humidity; converting the operating parameters and the environmental parameters into visual operating data and displaying them; performing status analysis on the operating parameters and the environmental parameters based on a data AI analysis model, and generating corresponding status analysis data; converting the status analysis data into visual status data and displaying them.

[0006] In a possible implementation, before converting the operating parameters and the environmental parameters into visual operating data and displaying them, the method further includes: creating a three-dimensional visual model based on the hydropower project design information based on a BIM platform.

[0007] In one possible implementation, converting the operating parameters and the environmental parameters into visual operating data and displaying them includes: determining variable parameters based on the currently acquired operating parameters and the environmental parameters; determining target position information corresponding to the variable parameters in the three-dimensional visualization model; converting the variable parameters into target visualization data; and updating the three-dimensional visualization model based on the target visualization data and the target position information.

[0008] In a possible implementation, the acquiring of the operating parameters and environmental parameters of the hydropower engineering equipment includes: acquiring the cached operating parameters and environmental parameters of the hydropower engineering equipment in a database.

[0009] In a possible implementation, before obtaining the cached operating parameters and environmental parameters of the hydropower engineering equipment in the database, it also includes: collecting the operating parameters and environmental parameters of the hydropower engineering equipment in real time through an Internet of Things collection device, and caching them in the database.

[0010] In one possible implementation, the data AI analysis model is used to perform status analysis on the operating parameters and the environmental parameters, and generate corresponding status analysis data, including: the data AI analysis model compares the variable parameters with the corresponding parameter threshold range based on a machine learning algorithm, and generates corresponding status analysis data according to the comparison results; wherein, the status analysis data includes the abnormal parameters and / or normal parameters; when it is determined that a target parameter in the variable parameters exceeds the corresponding parameter threshold range, the target parameter is determined to be an abnormal parameter; when it is determined that a target parameter in the variable parameters falls within the corresponding parameter threshold range, the target parameter is determined to be a normal parameter; after determining that the target parameter is an abnormal parameter, it also includes: generating an abnormal operation report based on the abnormal parameter, and pushing the abnormal operation report to the terminal of the target user.

[0011] In one possible implementation, converting the status analysis data into visual status data and displaying it includes: determining a first target position of the abnormal parameter in the three-dimensional visualization model; based on the abnormal parameter and the corresponding first target position, distinguishingly displaying the first target position of the three-dimensional visualization model, and displaying the abnormal parameter next to the first target position; wherein the distinguishing display includes a highlighted flashing display.

[0012] In a second aspect, an embodiment of the present application provides a BIM-based real-time monitoring system for hydropower projects, comprising: The visualization platform is configured as follows: Obtaining operating parameters and environmental parameters of hydropower engineering equipment, wherein the operating parameters include at least one of the following: operating voltage, equipment operating current, equipment temperature, water flow velocity, water flow rate, pipeline pressure, and equipment vibration; and the environmental parameters include at least one of the following: ambient temperature and ambient humidity; converting the operating parameters and environmental parameters into visual operating data and displaying the data; A data management platform is configured to perform status analysis on the operating parameters and the environmental parameters based on a data AI analysis model and generate corresponding status analysis data; The visualization platform is further configured to convert the status analysis data into visualization status data and display the data.

[0013] In a third aspect, an embodiment of the present application provides a computing device, including: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned BIM-based hydropower project real-time monitoring method are implemented.

[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned BIM-based real-time monitoring method for hydropower projects.

[0015] In a fifth aspect, an embodiment of the present application provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned BIM-based real-time monitoring method for hydropower projects.

[0016] The technical solution provided in the embodiment of the present application realizes refined monitoring of the operating status of hydropower engineering equipment by using a data acquisition module to collect the operating parameters and environmental data of hydropower engineering equipment through Internet of Things devices, and can timely detect equipment abnormalities; by constructing a three-dimensional visualization modeling module based on a domestic BIM platform, the design drawings and operating data of the hydropower project are converted into a three-dimensional visualization model, and the equipment operating parameters and environmental data are embedded in the model, thereby improving the visualization of the monitoring data and making the equipment operating status intuitively visible; by setting up an operating status monitoring module, the equipment operating parameters and environmental data are collected in real time, compared with the normal operating range, abnormal areas are marked in the three-dimensional model, and an operation report is generated, thereby establishing a complete early warning mechanism. When the equipment has an abnormality, relevant personnel can be notified in time to avoid greater losses caused by equipment failure; by configuring the early warning module, when the equipment operating parameters or environmental data are monitored to exceed the normal range, an early warning notification is triggered. The early warning methods include sound prompts, SMS notifications and email reminders, which improves the operational safety and reliability of the hydropower project, extends the service life of the equipment, and reduces maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a scenario diagram of a BIM-based real-time monitoring method for hydropower projects provided by an embodiment of the present application; Figure 2 This is a flow chart of a BIM-based real-time monitoring method for hydropower projects provided by one embodiment of the present application; Figure 3 An embodiment of the present application provides a structural block diagram of a computing device. DETAILED DESCRIPTION

[0018] The following description sets forth many specific details to facilitate a thorough understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the scope of the present application. Therefore, the present application is not limited to the specific implementations disclosed below.

[0019] The terms used in one or more embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of the present application. The singular forms "a" and "the" used in one or more embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present application refers to and includes any or all possible combinations of one or more associated listed items.

[0020] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of the present application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of one or more embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0021] To facilitate understanding of the technical solutions provided by the embodiments of the present application, the terms involved in one or more embodiments of the present application are explained below.

[0022] 1. Hydraulic equipment: Their goal is to harness water. They ensure dams safely retain water, release floodwaters as needed and as planned (flood control), efficiently channel water into power generation systems (water diversion), remove sediment (siltation prevention), provide passageways through the dams (for navigation and fish passage), and protect hydraulic structures from water damage. Hydraulic equipment is an integral component or directly operated part of a hydraulic structure. Gates are part of the retaining structure; hoists operate gates / valves; and trash racks protect water inlets. Without them, hydraulic structures cannot perform their designed functions.

[0023] 2. Electromechanical Equipment: The goal is to generate electricity from water. The core function is to convert the potential and kinetic energy of water into mechanical energy through turbines, which is then converted into electrical energy by generators. This energy is then boosted by transformers and controlled by switchgear, allowing efficient, safe, and reliable delivery to the power grid. Simultaneously, it provides control, monitoring, protection, and necessary in-plant auxiliary power for the entire power generation process. Electromechanical equipment is primarily installed in buildings such as power plants and switchyards, and is the core equipment that gives these structures their "power plant" functionality. Buildings provide the installation space and operating environment for electromechanical equipment.

[0024] 3. BIM: Building Information Modeling, Building Information Modeling, is based on various relevant information data of construction projects to establish a three-dimensional building model, and simulates the real information of the building through digital information simulation. It has information completeness, information relevance, information consistency, visualization, coordination, simulation, optimization and plotting capability. BIM technology can be used to integrate and manage building-related information, providing an intuitive and collaborative information exchange platform for all parties involved in the project, thereby improving the efficiency and level of construction management.

[0025] In this application, a BIM-based real-time monitoring method for hydropower projects is provided. This application also relates to a BIM-based real-time monitoring system for hydropower projects, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0026] See also Figure 1 , Figure 1 A schematic diagram of a scenario of a BIM-based real-time monitoring method for hydropower projects provided according to an embodiment of the present application is shown.

[0027] exist Figure 1 In the application scenario, the parameter collection device 10, the database 20, the visualization platform 30, and the data management platform 40 may be included. The parameter collection device 10 may include an operation parameter collection device 11 and an environment parameter collection device 12.

[0028] In some embodiments, the operating parameters may include at least one of the following: operating voltage, device operating current, device temperature, water flow velocity, water flow rate, pipeline pressure, and device vibration. The device parameters may include at least one of the following: ambient temperature and ambient humidity.

[0029] In other embodiments, the BIM-based real-time monitoring data of hydropower projects may include one or more of the following according to parameter types: Deformation parameters Arch settlement (convergence meter or laser ranging sensor or static level or total station), peripheral convergence (convergence meter), surrounding rock surface deformation (convergence meter, total station or level), surrounding rock internal deformation (multi-point displacement meter or sliding micrometer), lining structure deformation (convergence meter, total station or level), joint and crack opening and closing (joint (displacement) meter), shallow buried section surface settlement (multi-point displacement meter or level), etc.

[0030] Stress and strain parameters Steel frame internal force (axial force meter), surrounding rock pressure (earth pressure cell), pressure between two layers of support, anchor axial force (rebar gauge), support primary lining stress (embedded strain gauge), etc.

[0031] Seepage parameters Seepage pressure (pore water pressure gauge), etc.

[0032] Environmental parameters It can affect cavitation, temperature, etc.

[0033] It should be noted that the present application does not limit the type of data collected. In other embodiments, the BIM-based real-time monitoring data of hydropower projects can also be other types of parameters, and the parameter type can be adaptively adjusted based on user needs.

[0034] In some embodiments, the parameter collection device 10 may store the collected operating parameters and environmental parameters in the database 20 to provide data support for the visualization platform 30 and the data management platform 40 .

[0035] In some embodiments, the visualization platform 30 can generate a corresponding three-dimensional visualization model based on the operating parameters and environmental parameters of the hydropower engineering equipment provided by the database, provide data visualization, and enable users to view more concrete data.

[0036] In some embodiments, the data management platform 40 may perform status analysis based on the operating parameters and environmental parameters of the hydropower engineering equipment provided by the database 20 to generate corresponding status analysis data, and send the data to the visualization platform 30 for visualization display.

[0037] See also Figure 2 , Figure 2 A flow chart of a BIM-based real-time monitoring method for hydropower projects provided according to an embodiment of the present application is shown, which specifically includes the following steps.

[0038] Step 101: The visualization platform and the data management platform obtain the operating parameters and environmental parameters of the hydropower engineering equipment.

[0039] Among them, the operating parameters include at least one of the following: operating voltage, equipment operating current, equipment temperature, water flow velocity, water flow rate, pipeline pressure and equipment vibration; the environmental parameters include at least one of the following: ambient temperature and ambient humidity.

[0040] Step 102: The visualization platform converts the operating parameters and the environmental parameters into visual operating data and displays them.

[0041] Step 103: Perform status analysis on the operating parameters and the environmental parameters based on the data AI analysis model, and generate corresponding status analysis data.

[0042] Step 104: The data management platform sends the status analysis data to the visualization platform.

[0043] Step 105: The visualization platform converts the status analysis data into visualization status data and displays it.

[0044] In some embodiments, operating parameters and environmental parameters of hydropower engineering equipment are obtained. The operating parameters include at least one of the following: operating voltage, equipment operating current, equipment temperature, water flow velocity, water flow rate, pipeline pressure, and equipment vibration; and the environmental parameters include ambient temperature and / or ambient humidity.

[0045] In some embodiments, before obtaining the operating and environmental parameters of hydropower project equipment, IoT data collection devices collect these parameters in real time and cache them in a database. These IoT data collection devices include a sensor network distributed across key locations in the hydropower project, capable of collecting data around the clock and ensuring real-time and accuracy.

[0046] In some embodiments, when obtaining the operating parameters and environmental parameters of the hydropower engineering equipment, the cached operating parameters and environmental parameters of the hydropower engineering equipment are obtained from the database. This approach can reduce reliance on the real-time acquisition system, improve data processing efficiency, and ensure data integrity.

[0047] In some embodiments, before converting operational and environmental parameters into visual operational data for display, a 3D visualization model is created based on the hydropower project design information on the BIM platform. This 3D visualization model accurately reproduces the physical structure of the hydropower project, including the spatial layout and structural characteristics of key facilities such as reservoirs, dams, generators, and water pipelines, providing a foundation for subsequent visualization.

[0048] In some embodiments, the specific steps of converting the operating parameters and environmental parameters into visual operating data and displaying the data include: Based on the currently acquired operating and environmental parameters, variable parameters are determined. Variable parameters refer to key data that need to be monitored and displayed, such as turbine speed, generator output voltage, reservoir water level, etc.

[0049] Determine the target location information corresponding to the variable parameters in the 3D visualization model. For example, map the water flow velocity parameter to the water pipeline location, and map the equipment temperature parameter to the generator unit location.

[0050] Convert variable parameters into target visualization data. For example, convert temperature data into color gradients, and pressure data into numerical labels, making abstract data intuitive and easy to understand.

[0051] The 3D visualization model is updated based on the target visualization data and target location information. This step integrates the processed visualization data into the 3D model, allowing users to intuitively perceive the operating status of the hydropower project in a virtual environment.

[0052] The AI-powered data analysis model performs status analysis on operating and environmental parameters and generates corresponding status analysis data. Specifically, the AI-powered data analysis model uses a machine learning algorithm to compare variable parameters with corresponding parameter thresholds and generates corresponding status analysis data based on the comparison results. This status analysis data includes abnormal and / or normal parameters.

[0053] When a target parameter in the variable parameters is determined to be outside the corresponding parameter threshold range, the target parameter is determined to be an abnormal parameter. For example, if the temperature of a generator is detected to exceed the preset safety threshold, the system will mark the temperature parameter as an abnormal parameter.

[0054] When a target parameter among the variable parameters is determined to fall within a corresponding parameter threshold range, the target parameter is determined to be a normal parameter, indicating that the device is operating normally with respect to that parameter and no special attention is required.

[0055] In some embodiments, after determining that a target parameter is abnormal, an abnormal operation report is generated based on the abnormal parameter and pushed to the target user's terminal. The abnormal operation report contains detailed information about the abnormal parameter, the time of occurrence, possible cause analysis, and treatment suggestions, helping maintenance personnel take timely measures.

[0056] In some embodiments, converting the status analysis data into visual status data and displaying the data specifically includes: Determine the first target location of abnormal parameters in the 3D visualization model. For example, if the water flow velocity is abnormal, the system will locate the corresponding pipe location.

[0057] Based on the abnormal parameters and the corresponding first target location, the first target location in the 3D visualization model is displayed separately, and the abnormal parameters are displayed next to the first target location. This differentiated display uses a flashing highlight to make the abnormal location more eye-catching in the 3D model, allowing maintenance personnel to quickly locate the problem area.

[0058] This BIM-based real-time monitoring method for hydropower projects achieves comprehensive monitoring of the operating status of hydropower projects and timely warning of abnormal situations through real-time data collection, intelligent analysis and three-dimensional visualization, effectively improving the operational safety and management efficiency of hydropower projects.

[0059] Corresponding to the above method embodiment, the present application also provides an embodiment of a BIM-based real-time monitoring system for hydropower projects. The BIM-based real-time monitoring system for hydropower projects may include: The visualization platform is configured as follows: Acquiring operating parameters and environmental parameters of hydropower engineering equipment, wherein the operating parameters include at least one of the following: operating voltage, equipment operating current, equipment temperature, water flow velocity, water flow rate, pipeline pressure, and equipment vibration; and the environmental parameters include at least one of the following: ambient temperature and ambient humidity; Converting the operating parameters and the environmental parameters into visual operating data and displaying the data; A data management platform is configured to perform status analysis on the operating parameters and the environmental parameters based on a data AI analysis model and generate corresponding status analysis data; The visualization platform is further configured to convert the status analysis data into visualization status data and display the data.

[0060] In some embodiments, the BIM-based real-time monitoring system for hydropower projects may further include a database configured to store operating parameters and environmental parameters of hydropower project equipment collected in real time.

[0061] In some embodiments, the BIM-based real-time monitoring system for hydropower projects may also include parameter acquisition equipment, which may include operating parameter acquisition equipment and environmental parameter acquisition equipment. The parameter acquisition equipment may store the acquired operating and environmental parameters in a database to provide data support for the visualization platform and data management platform.

[0062] In one embodiment, the structure of the BIM-based hydropower project real-time monitoring system can be Figure 1 The scene architectures shown are the same or similar.

[0063] The above is a schematic diagram of a BIM-based real-time monitoring system for hydropower projects according to this embodiment. It should be noted that the technical solution of this BIM-based real-time monitoring system for hydropower projects and the technical solution of the BIM-based real-time monitoring method for hydropower projects described above share the same concept. For details not described in detail in the technical solution of the BIM-based real-time monitoring system for hydropower projects, please refer to the description of the technical solution of the BIM-based real-time monitoring method for hydropower projects described above.

[0064] Figure 3 The block diagram shows a structure of a computing device 300 according to one embodiment of the present application. The components of the computing device 300 include, but are not limited to, a memory 310 and a processor 320. The processor 320 is connected to the memory 310 via a bus 330, and a database 350 is used to store data.

[0065] Computing device 300 also includes an access device 340 that enables computing device 300 to communicate via one or more networks 360. Examples of such networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. Access device 340 may include one or more of any type of network interface (e.g., a network interface card (NIC)) whether wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, or a near field communication (NFC) interface.

[0066] In one embodiment of the present application, the above components of the computing device 300 and Figure 3 Other components not shown in the figure may also be connected to each other, for example, via a bus. Figure 3 The computing device structure block diagram shown is for illustrative purposes only and is not intended to limit the scope of the present application. Those skilled in the art may add or replace other components as needed.

[0067] Computing device 300 can be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, personal digital assistant, laptop computer, notebook computer, netbook computer, etc.), a mobile phone (e.g., a smartphone), a wearable computing device (e.g., a smartwatch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or personal computer (PC). Computing device 300 can also be a mobile or stationary server.

[0068] The processor 320 is configured to execute the following computer-executable instructions, which, when executed by the processor, implement the steps of the aforementioned BIM-based real-time monitoring method for hydropower projects. The above is a schematic diagram of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the aforementioned BIM-based real-time monitoring method for hydropower projects are based on the same concept. For details not described in detail in the technical solution of the computing device, please refer to the description of the technical solution of the aforementioned BIM-based real-time monitoring method for hydropower projects.

[0069] An embodiment of the present application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned BIM-based real-time monitoring method for hydropower projects.

[0070] The above is a schematic diagram of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium is based on the same concept as the technical solution of the aforementioned BIM-based real-time monitoring method for hydropower projects. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the aforementioned BIM-based real-time monitoring method for hydropower projects.

[0071] An embodiment of the present application further provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned BIM-based real-time monitoring method for hydropower projects.

[0072] The above is a schematic diagram of a computer program according to this embodiment. It should be noted that the technical solution of this computer program is based on the same concept as the technical solution of the aforementioned BIM-based real-time monitoring method for hydropower projects. For details not described in detail in the technical solution of the computer program, please refer to the description of the technical solution of the aforementioned BIM-based real-time monitoring method for hydropower projects.

[0073] The foregoing description describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0074] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content of the computer-readable medium may be appropriately increased or decreased based on the requirements of legislation and patent practice within a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0075] It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present application are not limited by the order of the actions described, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of the present application.

[0076] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0077] The preferred embodiments of the present application disclosed above are intended only to help illustrate the present application. The optional embodiments do not describe all details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made based on the content of the embodiments of the present application. This application selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of the present application, so that those skilled in the art can better understand and utilize the present application. This application is limited only by the claims and their full scope and equivalents.

Claims

1. A real-time monitoring method for hydropower projects based on BIM, characterized in that: include: Acquiring operating parameters and environmental parameters of hydropower engineering equipment, wherein the operating parameters include at least one of the following: operating voltage, equipment operating current, equipment temperature, water flow velocity, water flow rate, pipeline pressure, and equipment vibration; and the environmental parameters include at least one of the following: ambient temperature and ambient humidity; Converting the operating parameters and the environmental parameters into visual operating data and displaying the data; Performing status analysis on the operating parameters and the environmental parameters based on the data AI analysis model, and generating corresponding status analysis data; The state analysis data is converted into visual state data and displayed.

2. The method according to claim 1, characterized in that Before converting the operating parameters and the environmental parameters into visual operating data and displaying the data, the method further includes: Based on the BIM platform, a three-dimensional visual model is created according to the hydropower project design information.

3. The method according to claim 2, characterized in that The converting the operating parameters and the environmental parameters into visual operating data and displaying the data includes: Determining variable parameters based on the currently acquired operating parameters and the environmental parameters; Determining target position information corresponding to the variable parameter in the three-dimensional visualization model; Converting the variable parameters into target visualization data; The three-dimensional visualization model is updated based on the target visualization data and the target position information.

4. The method according to claim 1, wherein The obtaining of the operating parameters and environmental parameters of the hydropower engineering equipment includes: The operating parameters and environmental parameters of the hydropower engineering equipment are obtained from the cache in the database.

5. The method according to claim 4, characterized in that Before obtaining the cached operating parameters and environmental parameters of the hydropower engineering equipment in the database, the method further includes: The operating parameters and environmental parameters of the hydropower engineering equipment are collected in real time through the Internet of Things collection equipment and cached in the database.

6. The method according to claim 3, characterized in that The performing status analysis on the operating parameters and the environmental parameters based on the data AI analysis model and generating corresponding status analysis data includes: The data AI analysis model compares the variable parameters with the corresponding parameter threshold range based on a machine learning algorithm, and generates corresponding status analysis data according to the comparison results; Wherein, the state analysis data includes abnormal parameters and / or normal parameters; When it is determined that a target parameter among the variable parameters exceeds the corresponding parameter threshold range, the target parameter is determined to be an abnormal parameter; When it is determined that a target parameter among the variable parameters falls within the corresponding parameter threshold range, the target parameter is determined to be a normal parameter; After determining that the target parameter is an abnormal parameter, the method further includes: An abnormal operation report is generated based on the abnormal parameters, and the abnormal operation report is pushed to a terminal of a target user.

7. The method according to claim 6, characterized in that Converting the state analysis data into visual state data and displaying the data includes: Determining a first target position of the abnormal parameter in the three-dimensional visualization model; Based on the abnormal parameter and the corresponding first target position, the first target position of the three-dimensional visualization model is displayed distinctively, and the abnormal parameter is displayed next to the first target position; Wherein, the distinguishing display includes highlighting and flashing display.

8. A BIM-based real-time monitoring system for hydropower projects, characterized by: include: The visualization platform is configured as follows: Acquiring operating parameters and environmental parameters of hydropower engineering equipment, wherein the operating parameters include at least one of the following: operating voltage, equipment operating current, equipment temperature, water flow velocity, water flow rate, pipeline pressure, and equipment vibration; and the environmental parameters include at least one of the following: ambient temperature and ambient humidity; Converting the operating parameters and the environmental parameters into visual operating data and displaying the data; A data management platform is configured to perform status analysis on the operating parameters and the environmental parameters based on a data AI analysis model and generate corresponding status analysis data; The visualization platform is further configured to convert the status analysis data into visualization status data and display the data.

9. A computing device, characterized in that include: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the BIM-based real-time monitoring method for hydropower projects described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that It stores computer-executable instructions, which, when executed by a processor, implement the steps of the BIM-based real-time monitoring method for hydropower projects as described in any one of claims 1 to 7.

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