Intelligent association and three-dimensional visualization method for equipment documents based on multi-source list linkage

Abstract

This invention discloses a method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage, belonging to the field of digital operation and maintenance technology for power plants. The method includes four major steps: data preparation, construction of an inventory-BIM mapping engine, configuration of a dynamic association triggering mechanism, lightweight 3D rendering, and intelligent alarms. By sorting and standardizing the equipment and facility inventory, document inventory, and technical standard inventory, a four-element mapping relationship is constructed. A dual triggering mechanism of manual interaction and event-driven approach is designed, and 3D visualization and differentiated intelligent alarms are achieved by combining WebGL technology and multi-level level of detail (LOD) optimization. This invention solves the problems of single information in traditional BIM models, fragmented data from multiple inventory lists, delayed emergency response, and disconnected parameter verification. It enables "click-and-use" equipment documents and intelligent anomaly response, significantly improving operation and maintenance efficiency and emergency response capabilities. It is suitable for various types of clean energy projects such as wind power, photovoltaic, and pumped storage.

Description

Technical Field

[0001] This invention relates to the field of digital operation and maintenance technology for power plants, specifically to a method for intelligent association and three-dimensional visualization of equipment documents based on multi-source inventory linkage. Background Technology

[0002] With the expansion of clean energy power plants and the increase in equipment complexity, equipment document management technology for clean energy power plants is becoming increasingly important. Existing equipment document management and maintenance systems face the following prominent problems: 1. Limited BIM model information. Mainstream BIM software (such as Autodesk Revit) only includes equipment geometry and spatial layout information in its 3D models, failing to integrate core technical parameters (such as wind turbine rated power and transformer insulation class) and full lifecycle documents (design calculations, factory inspection reports, maintenance records, etc.). 2. Fragmented multi-list data. Equipment and facility lists, document lists, and technical standard lists are usually stored in different databases or systems, lacking a structured association mechanism. Maintenance personnel need to query equipment information, documents, and standards across systems, resulting in low efficiency and potential information errors due to data asynchrony. 3. Delayed emergency response. In emergency scenarios such as sudden equipment failures, the lack of real-time association between technical standard lists and emergency response documents prevents maintenance personnel from quickly retrieving corresponding technical specifications and response plans, leading to decision-making delays. 4. Disconnected parameter verification. The lack of an automatic correlation mechanism between equipment operating parameters (such as photovoltaic inverter output voltage and wind turbine gearbox oil temperature) and the thresholds specified in the technical standards list makes it difficult to detect parameter exceedances in a timely manner, relying on periodic manual verification. For example, existing solutions such as Glodon's "BIM5D" platform focus on cost and schedule correlation, with document management only supporting basic links; Autodesk's "BIM360" can achieve model and document correlation, but it does not integrate a real-time verification mechanism for equipment parameters and technical standards. None of these solutions solve the problem of dynamically correlating the unique parameters of clean energy equipment with standard thresholds. Summary of the Invention

[0003] The purpose of this invention is to provide a method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage. It addresses the pain points of operation and maintenance of wind power, photovoltaic, and pumped storage equipment, and achieves deep binding of clean energy equipment-specific parameters with BIM models, dynamic threshold alarms based on equipment operating conditions and automatic document push, and lightweight 3D rendering for different equipment types. It balances visualization accuracy and operational efficiency, and improves operation and maintenance efficiency and emergency response capabilities.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage includes the following steps: S1. Data Preparation: Compile the equipment and facility list, document list, and technical standard list, extract key information from each list, and standardize it. Key information for the equipment and facility list includes equipment ID, technical parameters, and location area. Key information for the document list includes DCC code, document type, and associated equipment. Key information for the technical standard list includes standard number, acceptance clauses, applicable equipment types, and parameter thresholds. Equipment IDs follow the rule of "system code + area number + serial number," and document list codes follow the format of "equipment ID - document type - version number." S2. Establish a Bill of Quantities-BIM Mapping Engine; including field parsing and extraction, IFC attribute set expansion, and quaternion mapping relationship construction. S3. Configure dynamic association triggering mechanisms, including manual interaction triggering and event-driven triggering. S6, 3D lightweight rendering and alarm module; including lightweight rendering and intelligent alarm.

[0005] The technical standard list in S1 above is structured and split into "standard number - clause number - applicable equipment type - threshold parameter" format, and a mapping table between clauses and equipment types is established; the equipment names on the first page of the document list are extracted in batches using OCR technology and automatically associated with the equipment IDs in the equipment and facilities list.

[0006] In the S2 list-BIM mapping engine established above, field parsing and extraction include parsing key fields such as equipment ID, technical parameters, and location area for the equipment and facilities list; extracting information such as DCC code and file type for the document list; and extracting standard number, technical clause, applicable equipment type, and unique parameter threshold for the technical standard list.

[0007] In the above-mentioned list-BIM mapping engine creation, the IFC attribute set expansion process includes: By using the extended attribute set of the Industrial Basic Class IFC standard, key information such as equipment ID and DCC code are embedded into the corresponding components of the BIM model.

[0008] The specific process of embedding key information such as equipment ID and DCC code into the corresponding components of the BIM model includes: Using Autodesk Revit's "Shared Parameters" feature, add "Equipment ID," "DCC Code," and corresponding core technical parameter fields to different types of equipment components such as IfcFan, IfcElectricInverter, and IfcPipeSegment; and use a Python script to batch import equipment and facility list data to achieve the binding of BIM components with equipment IDs.

[0009] In the above-mentioned list-BIM mapping engine establishment, the process of constructing the quaternary mapping relationship includes: A four-dimensional association model is established, which consists of "equipment ID ←→ BIM component GUID ←→ document code DCC ←→ technical standard-specific parameter threshold". Real-time cross-list queries are achieved through SQL statements, and the association is extended to the specific parameter thresholds in the technical standard list to form a unified data association network.

[0010] In the aforementioned dynamic association triggering mechanism, manual interaction triggering is as follows: When maintenance personnel click on a device in the 3D visualization platform, the system queries the four-element mapping relationship through the GUID of the BIM component, and automatically retrieves and displays the associated documents and technical standard clauses.

[0011] In the above dynamic association triggering mechanism, event-driven triggering is as follows: By connecting to the real-time data of the power plant's SCADA system, when the core technical parameters of the equipment are detected to exceed the threshold of specific parameters, an alarm is automatically triggered and related documents and handling solutions are pushed.

[0012] In the aforementioned 3D lightweight rendering and alarm module, lightweight rendering uses WebGL technology to achieve real-time rendering of the BIM model on the browser side, optimizes rendering efficiency through multi-level level of detail (LOD) technology, and sets dedicated LOD parameters for clean energy equipment.

[0013] The aforementioned lightweight rendering also employs a view frustum clipping algorithm to render only the device models within the current viewpoint, excluding photovoltaic panels, wind turbines, and other devices outside the field of view. For repetitive devices such as photovoltaic arrays and wind turbine groups, only one basic model is loaded, and multiple devices are generated by instantiation and copying to reduce memory usage. For example, 100 photovoltaic panels only occupy the model memory of one panel.

[0014] The aforementioned 3D lightweight rendering and alarm module includes intelligent alarms, which include: When equipment parameters exceed limits, a visual warning is displayed in the 3D model at the corresponding equipment location, including color highlighting and flashing animation, simultaneously showing the exceeding parameters and corresponding standard clauses. Furthermore, differentiated alarm effects are designed for different equipment fault types. For example, if the oil temperature of a wind turbine gearbox exceeds the limit, the gearbox location in the model flashes red, simultaneously displaying the real-time oil temperature curve and dynamic threshold line; if the voltage of a photovoltaic inverter is abnormal, the inverter model gradually brightens to yellow, and a voltage fluctuation bar chart pops up; if the pressure steel pipe is overpressured, the steel pipe model is highlighted with a red pulse, and the sensor number and real-time pressure value at the overpressure location are marked.

[0015] The intelligent association and 3D visualization method for equipment documents based on multi-source inventory linkage mentioned in this invention has the following beneficial effects: 1. Significantly improved operation and maintenance efficiency: Through the intelligent association between multi-source inventory and BIM model, equipment documents can be used "on the spot". In the case of a fault in the pressure steel pipe of a pumped storage power station, the document retrieval time is reduced from minutes to seconds, significantly shortening the time for equipment fault location and document retrieval.

[0016] 2. Enhanced emergency response capabilities: Through an event-driven automatic association mechanism, technical standards and handling documents are quickly pushed out, reducing the response time to wind turbine gearbox oil temperature over-limit alarms and the delay in pushing emergency documents, thus avoiding decision-making delays caused by document retrieval delays.

[0017] 3. Data consistency guarantee: The four-element mapping relationship and dynamic update mechanism ensure the synchronous update of equipment parameters, documents and technical standards, avoid information errors caused by data isolation, and improve the accuracy of operation and maintenance decisions.

[0018] 4. Clean Energy Adaptability Optimization: Through characteristic parameter mapping, dedicated triggering rules, and differentiated LOD configuration, it effectively addresses the high dynamic operating characteristics of equipment such as wind turbines and photovoltaics, reduces the lifecycle operation and maintenance costs of the site, and is compatible with mainstream BIM software such as Autodesk Revit and Bentley. It can be directly applied to the upgrade of the enterprise's existing document management system. Attached Figure Description

[0019] The present invention will be further described below with reference to the accompanying drawings and embodiments: Figure 1 This is a diagram of the overall system architecture of the present invention; Figure 2 This is a logical diagram showing the association between the multi-source inventory and the BIM model in this invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1: like Figure 1 As shown, the present invention provides a technical solution. The core of the equipment document intelligent association and 3D visualization method based on multi-source inventory linkage lies in constructing a parameter threshold-based BIM intelligent linkage and early warning system covering the entire lifecycle of clean energy equipment. Through a closed loop of "data mapping – event triggering – visual feedback," the previously isolated BIM models, equipment ledgers, technical documents, and standards are integrated into an organic whole capable of real-time perception, intelligent judgment, and proactive response. This includes the following steps: 1. Deployment of the List-BIM Mapping Engine Field parsing and extraction: For the equipment and facility list, key fields such as equipment ID, technical parameters, and location area are parsed; for the document list, information such as DCC code (defined by international standard IEC 61355-1) and document type is extracted; for the technical standard list, standard number, technical clause, applicable equipment type, and unique parameter threshold are extracted.

[0022] IFC Attribute Set Extension: By extending the attribute set of the Industrial Foundation Class (IFC) standard, the key information such as the above-mentioned equipment ID and DCC code are embedded into the corresponding components of the BIM model.

[0023] Four-element mapping relationship construction: A four-dimensional association model is established, consisting of "Equipment ID ←→ BIM component GUID ←→ Document code DCC ←→ Specific parameter thresholds within technical standards". Real-time cross-list queries are achieved through SQL statements, and the association is extended to specific parameter thresholds within the technical standard list, forming a unified data association network. See the table below:

[0024] 2. Dynamic association triggering mechanism Human interaction trigger: When maintenance personnel click on a device in the 3D visualization platform, the system queries the four-element mapping relationship through the GUID of the BIM component, and automatically retrieves and displays the associated documents and technical standard clauses.

[0025] Event-driven triggering: Connects to the real-time data of the power plant's SCADA system. When the core technical parameters of the equipment exceed the specific parameter threshold (from the technical standard), an alarm is automatically triggered and related documents and handling solutions are pushed.

[0026] Furthermore, considering the significant impact of environmental and operating conditions on the parameters of clean energy equipment, a dynamic threshold algorithm based on multiple factors is designed to replace the original fixed threshold rules (i.e., replacing the "technical standard-specific parameter thresholds" with "dynamic thresholds"). Taking the wind turbine gearbox oil temperature threshold and the photovoltaic inverter output voltage threshold as examples, the thresholds are dynamically adjusted according to the environment and load. (1) Dynamic threshold of oil temperature in wind turbine gearbox Tdyn = Tbase × [1 + kt × (Tenv - Tenv0)] + kl × Lact, where: Tbase: Baseline threshold (e.g., 65℃, taken from technical standard GB / T19073-2008); kt: Ambient temperature coefficient (value 0.02, fitted by 100 sets of environmental tests). Tenv: Actual ambient temperature (°C), Tenv0: Standard ambient temperature (25°C); kl: Load factor (value 0.01), Lact: Actual load rate (%, e.g., 80%).

[0027] (2) Dynamic threshold of output voltage of photovoltaic inverter Vdyn = Vbase × [1 + ki × (Iirr - Iirr0)], where: Vbase: Baseline threshold (e.g., 380V, taken from technical standard GB / T37408-2019). ki: Irradiance coefficient (value 0.0005, fitted by 50 sets of irradiation experiments); Iirr: Actual irradiance (W / ㎡), Iirr0: Standard irradiance (1000W / ㎡).

[0028] Furthermore, the triggering logic is designed based on the characteristics of clean energy equipment, and specific triggering rules are set for equipment such as wind turbines, photovoltaic inverters, and pumped storage units: (1) In the wind power scenario, when the oil temperature of the wind turbine gearbox exceeds Tdyn for 3 consecutive seconds, or the wind speed exceeds "WindSpeed_Max", an alarm is triggered and the "Wind Turbine Gearbox Maintenance Procedure" (DCC code: FW-XX-XX-WI-01) and Article 5.3 of GB / T19073-2008 are pushed. (2) In photovoltaic scenarios, when the inverter output voltage fluctuation amplitude is greater than 5% and lasts for 2 seconds, or the conversion efficiency is less than “Efficiency_Min”, an alarm is triggered and the “Photovoltaic Inverter Operation and Maintenance Manual” (DCC code: PV-XX-XX-WI-02) and Article 6.2 of GB / T 37408-2019 are pushed. (3) In the pumped storage scenario, when the actual pressure of the pressure steel pipe is greater than 1.1 times "Pressure_Rated", a red alarm is triggered and the "Pressure Steel Pipe Leakage Handling Plan" (DCC code: PS-XX-XX-WI-03) and Article 8.3 of DL / T5017-2017 are pushed.

[0029] 3. Lightweight 3D Rendering and Alarm Module Lightweight rendering: WebGL technology is used to achieve real-time rendering of the BIM model in the browser. Rendering efficiency is optimized through Level of Detail (LOD) technology, and dedicated LOD parameters are set for clean energy equipment (see table below). Furthermore, a view frustum clipping algorithm is used to render only the equipment models within the current view range, excluding photovoltaic panels, wind turbines, etc., outside the field of view. Further, for repetitive equipment such as photovoltaic arrays and wind turbine groups, only one basic model is loaded, and multiple devices are generated by instantiation and copying, reducing memory usage (e.g., 100 photovoltaic panels only occupy the model memory of one panel).

[0030] Intelligent Alarm: When equipment parameters exceed limits, the corresponding equipment location in the 3D model is highlighted with color (e.g., yellow warning, red alarm) and flashing animation for visual alerts, and the exceeding parameters and corresponding standard clauses are displayed simultaneously. Furthermore, differentiated alarm effects are designed for different equipment fault types. For example, if the wind turbine gearbox oil temperature exceeds the limit, the gearbox location in the model flashes red (frequency 2 times / second), simultaneously displaying the real-time oil temperature curve (data from the last 5 minutes) and dynamic threshold line; if the photovoltaic inverter voltage is abnormal, the inverter model gradually brightens to yellow, and a voltage fluctuation histogram (compared to the standard threshold) pops up; if the pressure steel pipe is overpressured, the steel pipe model is highlighted with a red pulse (amplitude increases with the pressure difference), and the sensor number and real-time pressure value at the overpressure location are marked. This is shown in the table below:

[0031] Example 2: The following uses a pumped storage power station as an example to explain in detail the implementation steps of the present invention: (a) Data preparation stage 1. Equipment and Facility List Review The device ID follows the rule of "system code + area number + serial number" (e.g., "PX-02-105" represents device number 105 in area 02 of the pumping system). Technical parameters are stored in the format of "name: value / unit" (e.g., "rated pressure: 16MPa"). Location area associated with spatial coordinates in the BIM model (e.g., "Underground Factory Building B Zone 3rd Floor").

[0032] 2. File manifest encoding binding The encoding format is “Device ID-Document Type-Version Number” (e.g., “PX-02-105-WI-03” represents the 3rd edition of the maintenance manual for the corresponding device). The device names on the first page of a document are extracted in batches using OCR technology and automatically associated with the device IDs in the equipment and facilities list.

[0033] 3. Structured list of technical standards Technical standards are split according to the format of "standard number-clause number-applicable equipment type-threshold parameter"; a mapping table between clauses and equipment types is established (e.g., "pressure steel pipe" is associated with "DL / T5017-2017 Chapter 8").

[0034] (II) Deployment of the Inventory-BIM Mapping Engine 1. Implementation of IFC Attribute Set Extension Use Autodesk Revit's "Shared Parameters" feature to add custom attribute sets to BIM model components; add "Equipment ID" and "DCC Code" fields to components such as IfcPump (water pump) and IfcPipeSegment (pressure steel pipe); and use a Python script to batch import equipment and facility list data to achieve the binding of BIM components with equipment IDs. 2. Building a Quadruple Mapping Relationship Library A MySQL database is used to create a related table, with core fields including: primary key ID, device ID, BIM GUID, DCC code, association standard number, and characteristic parameter threshold. Develop API interfaces to support bidirectional queries of BIM models, equipment lists, and document lists.

[0035] (III) Configuration of Dynamic Association Trigger Mechanism 1. Configuration for triggering human interaction Set up click event responses in the 3D visualization platform (developed using the Cesium engine). Example: Maintenance personnel click on the "Pressure Steel Pipe" component in the BIM model → the platform queries the mapping library through BIMGUID → returns the "Pressure Steel Pipe Maintenance Manual" with DCC code "GX-01-022-WI-01" and "DL / T5017-2017 Clause 8.3".

[0036] 2. Event-driven trigger configuration Connect to the real-time data of the power plant's SCADA system and set trigger conditions. Example: When the "Pressure Value" sensor data > 100MPa → the system automatically matches the standard "DL / T5017-2017 Article 8.3" in the technical standard list → pushes the "Pressure Steel Pipe Maintenance Manual"; when triggered, the corresponding pressure steel pipe position in the BIM model flashes red and plays a voice prompt "Pressure has exceeded the standard, maintenance document has been pushed".

[0037] (iv) Steps for implementing 3D lightweight design Use the BIMFACE tool to convert the Revit model to .web format. Configure LOD level: Load LOD100 (wireframe model) when the distance is >50m, and load LOD300 (including bolt details) when the distance is <10m.

[0038] Specific LOD parameters are set for clean energy equipment: wind turbine impellers are loaded with LOD200 when the distance is >100m and LOD400 when the distance is <20m; photovoltaic arrays are loaded with LOD100 when the distance is >50m and LOD300 when the distance is <10m.

Claims

1. A method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage, characterized in that: Includes the following steps: S1. Data preparation; The equipment and facilities list, document list, and technical standard list were compiled, and key information of each list was extracted and standardized. Key information of the equipment and facilities list includes equipment ID, technical parameters, and location area; key information of the document list includes DCC code, document type, and associated equipment; key information of the technical standard list includes standard number, acceptance clause, applicable equipment type, and parameter threshold; equipment ID adopts the rule of "system code + area number + serial number", and document list code adopts the format of "equipment ID-document type-version number". S2, Create a list-BIM mapping engine; This includes field parsing and extraction, IFC attribute set expansion, and quaternion mapping relationship construction; S3, Configure dynamic association triggering mechanism; This includes both human interaction triggers and event-driven triggers; S6, 3D lightweight rendering and alarm module; This includes lightweight rendering and intelligent alerts.

2. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage as described in claim 1, characterized in that, The technical standard list in S1 is structured and split into "standard number - clause number - applicable equipment type - threshold parameter" format, and a mapping table between clauses and equipment types is established; the equipment names on the first page of the document list are extracted in batches using OCR technology and automatically associated with the equipment IDs in the equipment and facility list.

3. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage according to claim 1, characterized in that, In the S2 list-BIM mapping engine establishment, field parsing and extraction include parsing equipment ID, technical parameters, and key fields of location area for the equipment and facilities list; extracting DCC code and file type information for the document list; and extracting standard number, technical clause, applicable equipment type, and unique parameter threshold for the technical standard list.

4. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage according to claim 1, characterized in that, In the creation of the aforementioned list-BIM mapping engine, the IFC attribute set expansion process includes: By using the extended attribute set of the Industrial Basic Class IFC standard, key information such as equipment ID and DCC coding is embedded into the corresponding components of the BIM model.

5. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage according to claim 4, characterized in that, The specific process of embedding the equipment ID and DCC encoding key information into the corresponding components of the BIM model includes: Using Autodesk Revit's "Shared Parameters" feature, add "Equipment ID," "DCC Code," and corresponding core technical parameter fields to different types of equipment components such as IfcFan, IfcElectricInverter, and IfcPipeSegment; and use a Python script to batch import equipment and facility list data to achieve the binding of BIM components with equipment IDs.

6. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage according to claim 1, characterized in that, In the creation of the aforementioned inventory-BIM mapping engine, the process of constructing the quaternary mapping relationship includes: A four-dimensional association model is established, which consists of "equipment ID ←→ BIM component GUID ←→ document code DCC ←→ technical standard-specific parameter threshold". Real-time cross-list queries are achieved through SQL statements, and the association is extended to the specific parameter threshold in the technical standard list to form a unified data association network.

7. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage according to claim 1, characterized in that, In the aforementioned dynamic association triggering mechanism, manual interaction triggering is as follows: When maintenance personnel click on a device in the 3D visualization platform, the system queries the four-element mapping relationship through the GUID of the BIM component, and automatically retrieves and displays the associated documents and technical standard clauses.

8. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage according to claim 1, characterized in that, In the aforementioned dynamic association triggering mechanism, event-driven triggering is as follows: By connecting to the real-time data of the power plant's SCADA system, when the core technical parameters of the equipment are detected to exceed the threshold of specific parameters, an alarm is automatically triggered and related documents and handling solutions are pushed.

9. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage according to claim 1, characterized in that, In the aforementioned 3D lightweight rendering and alarm module, lightweight rendering uses WebGL technology to achieve real-time rendering of the BIM model on the browser side, optimizes rendering efficiency through multi-level level of detail (LOD) technology, and sets dedicated LOD parameters for clean energy equipment.

10. The method for intelligent association and three-dimensional visualization of equipment documents based on multi-source inventory linkage according to claim 9, characterized in that, The lightweight rendering also employs a view frustum clipping algorithm to render device models within the current field of view, eliminating photovoltaic panels and wind turbines outside the field of view; for duplicate devices such as photovoltaic arrays and wind turbine groups, only one basic model is loaded, and multiple devices are generated by instantiation and copying, reducing memory usage.

11. The method for intelligent association and 3D visualization of equipment documents based on multi-source inventory linkage according to claim 1, characterized in that, The intelligent alarm in the aforementioned 3D lightweight rendering and alarm module includes: When equipment parameters exceed limits, a visual warning is displayed in the 3D model at the corresponding equipment location, including color highlighting and flashing animation, along with the exceeding parameters and corresponding standard clauses. Different alarm effects are designed for different equipment fault types. For example, the gearbox location in the model flashes red, and the real-time oil temperature curve and dynamic threshold line are displayed simultaneously. When the photovoltaic inverter voltage is abnormal, the inverter model gradually brightens to yellow, and a voltage fluctuation bar chart pops up. When the pressure steel pipe is overpressured, the steel pipe model is highlighted with a red pulse, and the sensor number and real-time pressure value at the overpressure location are marked.

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