Fire-fighting equipment data reading and interaction method based on BIM lightweight

Abstract

The invention relates to the technical field of data processing, in particular to a fire fighting equipment data reading and interaction method based on BIM lightweight. The method comprises the following steps: carrying out model format lightweight processing on fire fighting equipment in an original BIM model to obtain a fire fighting equipment BIM lightweight model; position data, working state data and maintenance record data of fire-fighting equipment are obtained in real time and synchronously updated to a fire-fighting equipment BIM lightweight model, so that a fire-fighting equipment interactive user interface is designed by using the fire-fighting equipment BIM lightweight model; and carrying out fire-fighting equipment data reading processing and fire-fighting equipment abnormity early warning problem interaction analysis on the fire-fighting equipment BIM lightweight model, carrying out state abnormity matching maintenance suggestion analysis, and generating a fire-fighting equipment state abnormity problem maintenance suggestion scheme so as to execute corresponding fire-fighting equipment state abnormity problem maintenance response work. The invention aims to optimize fire-fighting equipment data processing and improve user interaction experience.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method for reading and interacting with fire-fighting equipment data based on lightweight BIM. Background Art

[0002] In building safety management, real-time data and status monitoring of fire-fighting equipment (such as sprinklers, fire hydrants, fire extinguishers, fire monitoring, etc.) are important links to ensure safety. The application of building information modeling (BIM) technology has significantly improved the design accuracy and management efficiency of the project. By adopting data compression and simplification technology, the fire-fighting equipment data in the BIM model is lightweighted to delete redundant information and streamline the data structure, reduce the data volume, and thus improve the efficiency of data reading and processing. In addition, by introducing incremental update technology, only the changed parts of the model are updated instead of the entire model. This method can significantly reduce the amount of data transmission, thereby improving the response speed and real-time performance of the system. By migrating the storage and processing of fire-fighting equipment data to the cloud, the powerful processing power and storage resources of cloud computing are used to further improve the speed of data reading and processing, and support multi-user collaborative operations. However, data reading and interaction for fire-fighting equipment mainly rely on heavy BIM models. Although these models provide detailed information, their files are large in size and often lack flexibility, resulting in inefficiency in data transmission and processing. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a BIM-based lightweight fire-fighting equipment data reading and interaction method to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above purpose, a method for reading and interacting with fire equipment data based on BIM lightweight includes the following steps:

[0005] Step S1: Perform lightweight processing on the model format of the fire-fighting equipment in the original BIM model to obtain a lightweight BIM model of the fire-fighting equipment; obtain the location data, working status data and maintenance record data of the fire-fighting equipment in real time through the data synchronization module interface between the fire-fighting equipment monitoring system and synchronously update them to the lightweight BIM model of the fire-fighting equipment;

[0006] Step S2: designing an interactive user interface for fire equipment using the BIM lightweight model of fire equipment, and performing fire equipment data reading and processing on the BIM lightweight model of fire equipment through the data query function in the interactive user interface of fire equipment to obtain a fire equipment status information data set, wherein the fire equipment status information data set includes location data, working status data, and maintenance record data of the fire equipment;

[0007] Step S3: using the interactive analysis function in the interactive user interface of the fire equipment to interactively analyze the abnormal warning problems of the fire equipment on the location data and working status data of the fire equipment, and obtaining a list of abnormal warning problems of the fire equipment status of the BIM lightweight model;

[0008] Step S4: Based on the maintenance record data of the fire-fighting equipment, the BIM lightweight model fire-fighting equipment status abnormality warning problem list is analyzed for status abnormality matching maintenance suggestions, and a fire-fighting equipment status abnormality problem maintenance suggestion plan is generated to execute the corresponding fire-fighting equipment status abnormality problem maintenance response work.

[0009] Further, step S1 includes the following steps:

[0010] Step S11: extracting the geometric shape and attribute information of the fire-fighting equipment in the original BIM model to obtain the geometric shape structure of the fire-fighting equipment BIM model and the attribute information data of the fire-fighting equipment BIM model;

[0011] Step S12: performing geometric simplification and reconstruction design on the geometric shape structure of the fire-fighting equipment BIM model to obtain a geometric shape simplification and reconstruction design scheme of the fire-fighting equipment BIM model;

[0012] Step S13: performing equipment attribute hierarchical tailoring processing on the fire equipment BIM model attribute information data to obtain a fire equipment BIM model attribute hierarchical tailoring result; performing functional characteristic streamlining processing on the fire equipment in the original BIM model based on the fire equipment BIM model attribute hierarchical tailoring result to generate a fire equipment BIM model functional characteristic streamlining solution;

[0013] Step S14: According to the simplified reconstruction design scheme of the geometric shape of the fire equipment BIM model and the simplified scheme of the functional characteristics of the fire equipment BIM model, the fire equipment in the original BIM model is lightweighted to obtain a fire equipment BIM lightweight model;

[0014] Step S15: The location data, working status data and maintenance record data of the fire-fighting equipment in the fire-fighting equipment monitoring system are obtained in real time through the data synchronization module interface between the fire-fighting equipment monitoring system and are synchronously updated to the fire-fighting equipment BIM lightweight model.

[0015] Further, step S12 includes the following steps:

[0016] Step S121: performing aggregation processing on the geometric shape structure vertices of adjacent fire-fighting equipment in the geometric shape structure of the fire-fighting equipment BIM model to obtain a geometric vertex aggregation structure of the fire-fighting equipment BIM model;

[0017] Step S122: performing boundary simplification processing on the geometric structure boundary of the fire-fighting equipment within the geometric shape structure of the fire-fighting equipment BIM model based on the geometric vertex aggregation structure of the fire-fighting equipment BIM model, so as to generate a simplified design blueprint of the geometric structure boundary of the fire-fighting equipment BIM model;

[0018] Step S123: performing geometric shape simplification verification on the geometric shape structure of the fire equipment BIM model based on the geometric structure boundary simplification design blueprint of the fire equipment BIM model to obtain a geometric shape simplification verification report of the fire equipment BIM model;

[0019] Step S124: performing geometric simplification detail correction on the geometric structure boundary simplification design blueprint of the fire equipment BIM model according to the geometric shape simplification verification report of the fire equipment BIM model, so as to obtain the geometric structure simplification detail correction design blueprint of the fire equipment BIM model;

[0020] Step S125: Based on the fire equipment BIM model geometric structure simplified detail correction design blueprint, the fire equipment BIM model geometric shape structure is geometrically simplified and reconstructed to obtain a fire equipment BIM model geometric shape simplified and reconstructed design scheme.

[0021] Furthermore, the hierarchical tailoring of the fire equipment BIM model attribute information data in step S13 includes the following steps:

[0022] Perform equipment attribute dimension statistical analysis on the fire equipment BIM model attribute information data to obtain the equipment attribute dimensions of various attribute information in the fire equipment BIM model;

[0023] Based on the equipment attribute dimensions of various attribute information in the fire equipment BIM model, the attribute dimension hierarchical decomposition processing is performed on the attribute information data of the fire equipment BIM model to obtain the attribute dimension hierarchy between various attribute information in the fire equipment BIM model;

[0024] Perform equipment function and maintenance impact assessment and analysis on various attribute information in the fire equipment BIM model attribute information data, and obtain the equipment function and maintenance impact of various attributes in the fire equipment BIM model; perform attribute importance assessment and analysis on the corresponding various attribute information in the fire equipment BIM model attribute information data based on the equipment function and maintenance impact of various attributes in the fire equipment BIM model, and obtain the importance score of various attributes in the fire equipment BIM model;

[0025] Based on the importance score of each attribute in the fire equipment BIM model, the attribute hierarchical tailoring standard is designed for the attribute dimension hierarchical levels between various attribute information in the fire equipment BIM model, so as to generate the attribute importance tailoring standard of different attribute dimension levels of the fire equipment BIM model;

[0026] According to the attribute importance cutting standard of different attribute dimension levels of the fire equipment BIM model, the attribute dimension hierarchical cutting of various attribute information in the fire equipment BIM model is performed layer by layer to obtain the hierarchical cutting result of the fire equipment BIM model attributes.

[0027] Furthermore, the design of attribute hierarchical tailoring standards for attribute dimension hierarchies between various attribute information in the fire equipment BIM model based on the importance score values ​​of various attributes in the fire equipment BIM model includes the following steps:

[0028] Based on the attribute dimension hierarchy between various attribute information in the fire equipment BIM model, the importance score values ​​of various attributes in the fire equipment BIM model are classified hierarchically, and the attribute importance score value sets of different attribute dimension levels in the fire equipment BIM model are obtained;

[0029] Based on the attribute importance score value set of different attribute dimension levels in the fire equipment BIM model, the attribute dimension hierarchical priority sorting processing is performed on the attribute dimension hierarchical levels between various attribute information in the fire equipment BIM model, and the attribute importance priority sorting sequence of different attribute dimension levels in the fire equipment BIM model is obtained;

[0030] The attribute hierarchical tailoring standard is designed for the attribute importance priority sorting sequence at different attribute dimension levels in the fire equipment BIM model to generate the attribute importance tailoring standard at different attribute dimension levels of the fire equipment BIM model.

[0031] Furthermore, the process of streamlining the functional characteristics of the fire-fighting equipment in the original BIM model based on the hierarchical clipping result of the fire-fighting equipment BIM model attributes in step S13 includes the following steps:

[0032] Perform functional characteristic mapping analysis on the hierarchical tailoring results of the fire-fighting equipment BIM model attributes to obtain the attribute functional characteristic mapping data of the attribute hierarchies of each fire-fighting equipment BIM model;

[0033] Perform functional redundancy evaluation and analysis on the attribute function characteristic mapping data of the attribute layer of each fire-fighting equipment BIM model to obtain the attribute function characteristic redundancy of the attribute layer of each fire-fighting equipment BIM model;

[0034] Based on the attribute function redundancy of each fire equipment BIM model attribute layer, the corresponding fire equipment in the original BIM model is identified and analyzed for equipment function redundancy, so as to obtain a fire equipment BIM model function characteristic redundancy report;

[0035] The redundant report of the functional characteristics of the fire-fighting equipment BIM model is streamlined to generate a streamlined plan for the functional characteristics of the fire-fighting equipment BIM model.

[0036] Further, step S2 includes the following steps:

[0037] Step S21: Acquire user fire equipment BIM model operation requirement data;

[0038] Step S22: performing interactive design requirements analysis on the fire equipment BIM lightweight model based on the user's fire equipment BIM model operation requirements data to obtain a fire equipment BIM model interactive design requirements specification document;

[0039] Step S23: Designing a user interaction interface for the fire equipment BIM lightweight model based on the fire equipment BIM model interaction design requirement specification document to generate a fire equipment interactive user interface;

[0040] Step S24: The fire equipment data is read and processed on the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain a fire equipment status information data set, wherein the fire equipment status information data set includes the location data, working status data and maintenance record data of the fire equipment.

[0041] Further, step S24 includes the following steps:

[0042] Step S241: reading and processing the fire equipment location data of the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain the location data of the fire equipment;

[0043] Step S242: reading and processing the working status data of the fire-fighting equipment on the BIM lightweight model of the fire-fighting equipment through the data query function in the fire-fighting equipment interactive user interface to obtain the working status data of the fire-fighting equipment;

[0044] Step S243: reading and processing the fire equipment maintenance record data of the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain the maintenance record data of the fire equipment;

[0045] Step S244: Merge the location data, working status data and maintenance record data of the fire-fighting equipment to obtain a fire-fighting equipment status information data set.

[0046] Further, step S3 includes the following steps:

[0047] Step S31: using the interactive analysis function in the fire equipment interactive user interface to perform dynamic change trend recognition and analysis on the location data and working status data of the fire equipment, and obtain the dynamic change trend of the location of the fire equipment and the dynamic change trend of the working status of the fire equipment;

[0048] Step S32: Analyze abnormal behavior characteristics of the dynamic change trend of the position of the fire-fighting equipment and the dynamic change trend of the working state of the fire-fighting equipment to obtain abnormal behavior characteristic data of the position change of the fire-fighting equipment and abnormal behavior characteristic data of the working state change of the fire-fighting equipment;

[0049] Step S33: performing interactive abnormal pattern recognition analysis on the abnormal behavior characteristic data of the position change of the fire-fighting equipment and the abnormal behavior characteristic data of the working state change of the fire-fighting equipment to obtain the interactive abnormal behavior pattern recognition result of the fire-fighting equipment;

[0050] Step S34: According to the preset abnormal warning rules, the fire equipment interactive abnormal behavior pattern recognition results are interactively analyzed for abnormal warning problems of fire equipment to obtain a list of abnormal warning problems of the BIM lightweight model fire equipment status.

[0051] Further, step S4 includes the following steps:

[0052] Step S41: Perform equipment problem maintenance history mining and analysis on the maintenance record data of the fire-fighting equipment to obtain the fire-fighting equipment problem maintenance content record data;

[0053] Step S42: Based on the historical maintenance content record data of fire equipment problems, a maintenance record correlation matching analysis is performed on the BIM lightweight model fire equipment status abnormal warning problem list to obtain a maintenance correlation matching relationship between the fire equipment status abnormal warning problem and the historical maintenance content record;

[0054] Step S43: Based on the maintenance association matching relationship between the abnormal warning problem of the fire equipment status and the historical maintenance content records, the corresponding BIM lightweight model fire equipment status abnormal warning problem list is analyzed for abnormal problem maintenance suggestions, and a fire equipment status abnormal problem maintenance suggestion plan is generated to execute the corresponding fire equipment status abnormal problem maintenance response work.

[0055] Beneficial effects of the present invention:

[0056] The fire-fighting equipment data reading and interaction method based on BIM lightweight proposed in the present invention, compared with the prior art, has the beneficial effect of being able to comprehensively consider the results of geometric simplification and functional characteristic streamlining by performing model format lightweight processing on the fire-fighting equipment in the original BIM model, and reducing the file size by converting it into a more efficient data format. The lightweight model has significant advantages in practical applications, including faster data loading time, lower storage requirements and higher system compatibility. This processing not only improves the performance of the model on various platforms and devices, but also facilitates remote monitoring and management, especially in resource-limited environments, it can provide a better operating experience, thereby improving the flexibility of BIM model fire-fighting equipment data processing. At the same time, the location data, working status data and maintenance record data of the fire equipment in the fire equipment monitoring system are obtained in real time through the data synchronization module interface between the fire equipment monitoring system and the fire equipment monitoring system, and the data is synchronously updated to the fire equipment BIM lightweight model, which can ensure that the fire equipment BIM lightweight model always reflects the latest equipment status and location information. This step can timely update the working status and maintenance records of the equipment through the interface of the fire equipment monitoring system for data synchronization, helping managers to make more timely and accurate decisions. This dynamic update capability can significantly improve the practical application value of the model, enhance the efficiency of equipment management and maintenance, and support faster response and processing, thereby improving the efficiency and reliability of the fire equipment monitoring system in the transmission and processing of fire equipment data. Secondly, the user interaction interface design is carried out by using the fire equipment BIM lightweight model. The core of this step is to be able to create a user-friendly interface so that users can interact with the fire equipment BIM model efficiently and intuitively. By concretizing the design requirements into the layout, functional modules and interactive elements of the interface, it can ensure that the final interface meets the actual use needs of users. A good user interaction interface can greatly improve the user's operating experience, enabling them to quickly find the required information and operate, thereby improving work efficiency. The fire equipment data is also read and processed on the fire equipment BIM lightweight model by using the data query function in the fire equipment interactive user interface to obtain the fire equipment status information data set. The key to this stage is to accurately and efficiently obtain detailed data including equipment location, working status and maintenance records through the query function provided by the interface. Through the data query function of the user interface, users can access and process various data in the model in real time and obtain the latest status and historical records of the equipment, so that users can better understand the operating status and maintenance requirements of the equipment, thereby improving the overall safety management capabilities.Then, by using the interactive analysis function in the interactive user interface of the fire equipment to interactively analyze the location data and working status data of the fire equipment, a detailed list of abnormal warning problems of the BIM lightweight model fire equipment status can be generated. It can also systematically organize and display the abnormal problems of the equipment status, and provide a clear list of problems. The list not only lists all the identified abnormalities, but also contains detailed information, possible causes and solutions for each abnormality. Through this systematic early warning and interactive analysis of problems, operation and maintenance personnel can quickly obtain accurate abnormal information, so as to respond in time and implement necessary repair measures. Finally, by analyzing the abnormal problem maintenance suggestions of the BIM lightweight model fire equipment status abnormal warning problem list based on the maintenance record data of the fire equipment, targeted maintenance suggestions and response plans can be provided, and by combining historical maintenance records and current warning information, a scientific maintenance suggestion plan can be generated to guide the maintenance team to take appropriate measures to deal with abnormal problems. In this way, a maintenance plan that meets actual needs can be formulated to ensure that each maintenance operation has sufficient basis and reasonable execution steps, which not only improves the efficiency of maintenance work, but also enhances the reliability and stability of fire equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0058] Figure 1 It is a schematic diagram of the steps of the method for reading and interacting with fire equipment data based on BIM lightweight according to the present invention;

[0059] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0060] Figure 3 for Figure 2 Detailed step flow chart of step S12 in FIG. DETAILED DESCRIPTION

[0061] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0062] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0063] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0064] To achieve this, please refer to Figures 1 to 3 The present invention provides a method for reading and interacting with fire equipment data based on BIM lightweight, the method comprising the following steps:

[0065] Step S1: Perform lightweight processing on the model format of the fire-fighting equipment in the original BIM model to obtain a lightweight BIM model of the fire-fighting equipment; obtain the location data, working status data and maintenance record data of the fire-fighting equipment in real time through the data synchronization module interface between the fire-fighting equipment monitoring system and synchronously update them to the lightweight BIM model of the fire-fighting equipment;

[0066] Step S2: designing an interactive user interface for fire equipment using the BIM lightweight model of fire equipment, and performing fire equipment data reading and processing on the BIM lightweight model of fire equipment through the data query function in the interactive user interface of fire equipment to obtain a fire equipment status information data set, wherein the fire equipment status information data set includes location data, working status data, and maintenance record data of the fire equipment;

[0067] Step S3: using the interactive analysis function in the interactive user interface of the fire equipment to interactively analyze the abnormal warning problems of the fire equipment on the location data and working status data of the fire equipment, and obtaining a list of abnormal warning problems of the fire equipment status of the BIM lightweight model;

[0068] Step S4: Based on the maintenance record data of the fire-fighting equipment, the BIM lightweight model fire-fighting equipment status abnormality warning problem list is analyzed for status abnormality matching maintenance suggestions, and a fire-fighting equipment status abnormality problem maintenance suggestion plan is generated to execute the corresponding fire-fighting equipment status abnormality problem maintenance response work.

[0069] In the embodiment of the present invention, please refer to Figure 1 As shown, it is a schematic diagram of the steps of the method for reading and interacting with fire equipment data based on BIM lightweight according to the present invention. In this example, the method for reading and interacting with fire equipment data based on BIM lightweight includes the following steps:

[0070] Step S1: Perform lightweight processing on the model format of the fire-fighting equipment in the original BIM model to obtain a lightweight BIM model of the fire-fighting equipment; obtain the location data, working status data and maintenance record data of the fire-fighting equipment in real time through the data synchronization module interface between the fire-fighting equipment monitoring system and synchronously update them to the lightweight BIM model of the fire-fighting equipment;

[0071] In an embodiment of the present invention, by extracting the geometric shape and attribute information of the fire-fighting equipment in the original BIM model, firstly, an automated modeling tool such as Revit or Navisworks is used to extract the geometric data of the fire-fighting equipment. In this step, a geometric analysis algorithm is also used to identify the shape features of the equipment, and these geometric features are exported in a standard format (such as IFC or DXF), and attribute data is extracted from the equipment model by using an attribute extraction tool, including the equipment name, model, specification and other relevant parameters. At the same time, a simplification algorithm (such as multi-level detail simplification based on LOD) is used to perform geometric simplification and reconstruction design on the previously identified geometric shape structure to realize the processing of complex geometric models, and the number of polygons is reduced by a computational geometry simplification algorithm, and the simplified geometric structure is exported as a simplified version of the BIM model design scheme to ensure that it optimizes computing performance and data storage while retaining necessary details, and by The attribute information data obtained by the previous analysis is subjected to equipment attribute hierarchical tailoring processing to classify the attribute information according to the function and importance of the equipment, and the attribute data is hierarchically processed using data processing tools (such as MATLAB or Excel) to separate the core attributes from the auxiliary attributes. The fire-fighting equipment in the original BIM model is streamlined by combining the attribute hierarchical tailoring results after the previous attribute tailoring, so as to analyze the equipment functions by applying data processing algorithms, remove non-core functions and redundant information, and use function simplification tools (such as custom Python scripts or specific function plug-ins) to simplify the equipment functions, thereby generating a streamlined solution containing the main functional characteristics. Then, the corresponding fire-fighting equipment in the original BIM model is lightweighted in model format by using the geometric shapes generated by the previous design to simplify the reconstruction design solution and the functional characteristic simplification solution, so as to use lightweight modeling tools (such as Autodesk Forge or Trimble Tekla) to convert and optimize the equipment model, integrate the simplified geometric shape and streamlined functional characteristics into the lightweight model, and export it to a format suitable for real-time display and efficient rendering (such as .glTF or FBX), so as to obtain the BIM lightweight model of fire equipment. Finally, the fire equipment monitoring system and the fire equipment BIM lightweight model are connected by using real-time data synchronization technology (such as WebSocket or API interface), and the location data, working status data and maintenance record data of the fire equipment are obtained in real time by using the data synchronization module interface between the fire equipment monitoring system. The real-time updated data is integrated into the BIM lightweight model of fire equipment by using the data synchronization module. In the synchronization process, it is necessary to ensure that the data format matches, and the location, status and maintenance record information of the equipment in the model are updated in real time to maintain the dynamic accuracy and practicality of the model.

[0072] Step S2: designing an interactive user interface for fire equipment using the BIM lightweight model of fire equipment, and performing fire equipment data reading and processing on the BIM lightweight model of fire equipment through the data query function in the interactive user interface of fire equipment to obtain a fire equipment status information data set, wherein the fire equipment status information data set includes location data, working status data, and maintenance record data of the fire equipment;

[0073] In an embodiment of the present invention, by obtaining the specific operational requirements of the user's fire equipment BIM model, collecting relevant demand information from the user, and combining the operational demand data obtained in the previous analysis to perform interactive design demand analysis on the corresponding fire equipment BIM lightweight model, so as to classify the collected demand data, identify the core requirements and additional requirements, and draw an interactive flow chart and a user interface model by using a demand analysis tool, such as a demand modeling software (such as a UML tool), write a demand specification document, describe in detail the implementation method of the interactive function, data flow, interface elements and their functions, and design the user interaction interface of the corresponding fire equipment BIM lightweight model by combining the demand specification document obtained in the previous design, so as to create an interactive prototype by using an interface design tool (such as Adobe XD or Figma), and design the layout and interactive elements of the user interface in combination with the specifications in the demand document. The design process includes determining the position of the interface elements, the design of the function buttons, the configuration of the data display area and the user operation process, so as to design and generate an interactive user interface for the fire equipment. At the same time, by using the data query function in the interactive user interface of the fire equipment, the data of the BIM lightweight model of the fire equipment is read and processed. The user selects the data query option on the interactive user interface of the fire equipment, enters the query conditions (such as equipment ID or time range), and calls the background API interface to extract the location data, working status data and maintenance record data of the fire equipment from the BIM model database. After the data is read, it is integrated into a comprehensive data set. This data set includes the specific location of the equipment, current working status, historical maintenance records and other information, and is saved in a structured format (such as JSON or CSV file). Finally, the fire equipment status information data set is obtained, wherein the fire equipment status information data set includes the location data, working status data and maintenance record data of the fire equipment.

[0074] Step S3: using the interactive analysis function in the interactive user interface of the fire equipment to interactively analyze the abnormal warning problems of the fire equipment on the location data and working status data of the fire equipment, and obtaining a list of abnormal warning problems of the fire equipment status of the BIM lightweight model;

[0075] In an embodiment of the present invention, the location information and working status data of the fire-fighting equipment are loaded by using the interactive analysis function built into the interactive user interface of the fire-fighting equipment. These data are usually collected by sensors and real-time monitoring systems and stored in a database. Data visualization tools, such as dynamic time series analysis tools, are used to visualize these data into charts for dynamic change trend analysis. By setting a time window (for example, the past 24 hours or the past week), the changing trends of the equipment location and working status are observed, and the movement trajectory of the equipment location and the fluctuation of the working status are identified, thereby obtaining the dynamic change trend data of the equipment. By using statistical analysis methods, such as standard deviation calculation and outlier detection algorithms, the dynamic changes of the equipment previously analyzed are analyzed. The trend data (including the dynamic change trend of the position and the dynamic change trend of the working state) is statistically analyzed for abnormal behavior characteristics to analyze whether the changes in the device location and working state exceed the normal range. For example, the box plot method or the Z-score method is used to identify abnormal points. For the position change trend, the trajectory changes that do not conform to the normal movement pattern are identified; for the working state change trend, the abnormal working frequency or state change is identified. The generated abnormal behavior feature data includes a specific description of each anomaly, such as the distance of position deviation, the abnormal fluctuation amplitude of the working state, etc. At the same time, by using machine learning algorithms (such as cluster analysis (such as K-means or DBSCAN) or anomaly detection algorithms (such as Isolation Forest or One-Class SVM)) performs interactive abnormal pattern recognition analysis on the abnormal behavior characteristics of position changes and abnormal behavior characteristics of working status changes obtained in the previous analysis to realize pattern recognition of abnormal behavior, and inputs all abnormal behavior feature data into the model, identifies behavior patterns and laws through algorithms, and the obtained recognition results should show the characteristics of each abnormal behavior pattern, such as abnormal frequency, common abnormal combinations, etc. Then, the abnormal behavior pattern recognition results obtained in the previous analysis are analyzed by using pre-set abnormal warning rules to compare the abnormal pattern recognition results with the preset abnormal warning rules. These rules include the critical value of the equipment status, warning trigger conditions, etc., and apply the rule engine or decision tree algorithm to match the identified abnormal patterns with the rules, screen out the abnormal behavior problem list that meets the warning conditions, and thus generate the corresponding abnormal warning problem list. All abnormal warning problems should be listed in detail, including the type of problem, warning level and existing impact, and this information is converted into a list of abnormal warning problems in the state of the BIM lightweight model, and finally a list of abnormal warning problems in the state of the BIM lightweight model fire equipment is obtained.

[0076] Step S4: Based on the maintenance record data of the fire-fighting equipment, the BIM lightweight model fire-fighting equipment status abnormality warning problem list is analyzed for status abnormality matching maintenance suggestions, and a fire-fighting equipment status abnormality problem maintenance suggestion plan is generated to execute the corresponding fire-fighting equipment status abnormality problem maintenance response work.

[0077] In an embodiment of the present invention, the maintenance record data of the fire-fighting equipment previously monitored is deeply analyzed to mine the historical maintenance content of the equipment problems, so that the historical maintenance data is imported into a data analysis platform, such as an SQL database or a data mining tool, for data cleaning and preprocessing, and the frequency of occurrence and maintenance mode of the equipment problems are analyzed by a data mining algorithm (such as association rule mining). This step involves statistical analysis and pattern recognition, and requires comprehensive retrieval and organization of data such as equipment failure types, occurrence frequencies, and maintenance measures, so as to obtain historical maintenance records including detailed maintenance records, maintenance time, maintenance personnel, and measures taken for each equipment failure, and by combining the corresponding equipment abnormal problem conditions in the historical maintenance content records obtained by the previous mining analysis, a data matching tool (such as Python's Pandas library or a special matching algorithm) is used to perform a correlation analysis of problem matching on the BIM lightweight model fire-fighting equipment status abnormal warning problem list obtained by the previous analysis, so as to set matching rules. Rules, such as fault code matching and fault description similarity calculation, are used to determine the correlation between each abnormal state warning problem and the historical maintenance record. Then, by combining the correlation between each abnormal state warning problem and the historical maintenance record obtained in the previous analysis, the fire equipment abnormal state warning problem corresponding to the BIM lightweight model fire equipment abnormal state warning problem list is identified and analyzed for maintenance suggestions, so as to use the correlation analysis results to identify the potential maintenance needs of each abnormal warning problem, and with the help of a data analysis platform or decision support system, combined with historical maintenance data and equipment characteristics, formulate targeted maintenance suggestions, including fault repair steps, necessary replacement parts, recommended maintenance time windows, and possible preventive measures. The handling methods and required resources for each abnormal problem should be described in detail to ensure the normal operation of the fire equipment and reduce the possibility of future failures, thereby generating corresponding fire equipment abnormal state problem maintenance suggestion plans to perform corresponding fire equipment abnormal state problem maintenance response work.

[0078] Further, step S1 includes the following steps:

[0079] Step S11: extracting the geometric shape and attribute information of the fire-fighting equipment in the original BIM model to obtain the geometric shape structure of the fire-fighting equipment BIM model and the attribute information data of the fire-fighting equipment BIM model;

[0080] Step S12: performing geometric simplification and reconstruction design on the geometric shape structure of the fire-fighting equipment BIM model to obtain a geometric shape simplification and reconstruction design scheme of the fire-fighting equipment BIM model;

[0081] Step S13: performing equipment attribute hierarchical tailoring processing on the fire equipment BIM model attribute information data to obtain a fire equipment BIM model attribute hierarchical tailoring result; performing functional characteristic streamlining processing on the fire equipment in the original BIM model based on the fire equipment BIM model attribute hierarchical tailoring result to generate a fire equipment BIM model functional characteristic streamlining solution;

[0082] Step S14: According to the simplified reconstruction design scheme of the geometric shape of the fire equipment BIM model and the simplified scheme of the functional characteristics of the fire equipment BIM model, the fire equipment in the original BIM model is lightweighted to obtain a fire equipment BIM lightweight model;

[0083] Step S15: The location data, working status data and maintenance record data of the fire-fighting equipment in the fire-fighting equipment monitoring system are obtained in real time through the data synchronization module interface between the fire-fighting equipment monitoring system and are synchronously updated to the fire-fighting equipment BIM lightweight model.

[0084] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0085] Step S11: extracting the geometric shape and attribute information of the fire-fighting equipment in the original BIM model to obtain the geometric shape structure of the fire-fighting equipment BIM model and the attribute information data of the fire-fighting equipment BIM model;

[0086] In an embodiment of the present invention, by extracting the geometric shape and attribute information of the fire-fighting equipment in the original BIM model, firstly, an automated modeling tool such as Revit or Navisworks is used to extract the geometric data of the fire-fighting equipment. In this step, a geometric analysis algorithm is used to identify the shape features of the equipment, and these geometric features are exported in a standard format (such as IFC or DXF), and attribute data is extracted from the equipment model by using an attribute extraction tool, including the equipment name, model, specifications and other relevant parameters. At the same time, the extracted geometric data and attribute information are summarized into a structured database or table through a data parsing tool (such as a Python script combined with an OpenPyXL library) to form a geometric shape structure and attribute information data of the fire-fighting equipment BIM model, and finally the geometric shape structure of the fire-fighting equipment BIM model and the attribute information data of the fire-fighting equipment BIM model are obtained.

[0087] Step S12: performing geometric simplification and reconstruction design on the geometric shape structure of the fire-fighting equipment BIM model to obtain a geometric shape simplification and reconstruction design scheme of the fire-fighting equipment BIM model;

[0088] In an embodiment of the present invention, a simplification algorithm (such as LOD-based multi-level detail simplification) is used to perform geometric simplification and reconstruction design on the geometric shape structure of the fire-fighting equipment BIM model previously identified, so as to realize the processing of complex geometric models, and reduce the number of polygons through a computational geometry simplification algorithm while maintaining the visual consistency and structural integrity of the model. The simplification operation is performed using modeling software such as Blender or Fusion 360, and the simplified geometric structure is exported as a simplified version of the BIM model design plan, ensuring that it optimizes computing performance and data storage while retaining necessary details, and finally obtaining a simplified reconstruction design plan for the geometric shape of the fire-fighting equipment BIM model.

[0089] Step S13: performing equipment attribute hierarchical tailoring processing on the fire equipment BIM model attribute information data to obtain a fire equipment BIM model attribute hierarchical tailoring result; performing functional characteristic streamlining processing on the fire equipment in the original BIM model based on the fire equipment BIM model attribute hierarchical tailoring result to generate a fire equipment BIM model functional characteristic streamlining solution;

[0090] In an embodiment of the present invention, the fire equipment BIM model attribute information data obtained by the previous analysis is subjected to equipment attribute hierarchical tailoring processing to classify the attribute information according to the function and importance of the equipment, and the attribute data is hierarchically processed using a data processing tool (such as MATLAB or Excel) to separate the core attributes from the auxiliary attributes, and the attributes are tailored by setting hierarchical rules (such as by functional category or data usage frequency) to retain high-priority attributes and trim low-priority attributes, and the trimmed data is saved in a standard format (such as CSV or JSON), thereby generating a trimmed fire equipment BIM model attribute hierarchical tailoring result. At the same time, by combining the hierarchical trimming results of the fire equipment BIM model attributes that have been trimmed before, the functional characteristics of the fire equipment in the original BIM model are streamlined, so that the equipment functions are analyzed by applying data processing algorithms, non-core functions and redundant information are removed, and functional streamlining tools (such as custom Python scripts or specific functional plug-ins) are used to streamline the equipment functions, thereby generating a streamlined solution containing major functional characteristics. This solution ensures that the equipment model meets actual application needs while removing unnecessary complexity, improving the practicality and performance of the model, and ultimately generating a streamlined solution for the functional characteristics of the fire equipment BIM model.

[0091] Step S14: According to the simplified reconstruction design scheme of the geometric shape of the fire equipment BIM model and the simplified scheme of the functional characteristics of the fire equipment BIM model, the fire equipment in the original BIM model is lightweighted to obtain a fire equipment BIM lightweight model;

[0092] In an embodiment of the present invention, by using a previously designed and generated fire equipment BIM model geometry simplification reconstruction design scheme and a fire equipment BIM model functional characteristics simplification scheme, the model format of the corresponding fire equipment in the original BIM model is lightweighted, so that a lightweight modeling tool (such as Autodesk Forge or TrimbleTekla) is used to convert and optimize the equipment model, and the simplified geometry and streamlined functional characteristics are integrated into the lightweight model, which is exported to a format suitable for real-time display and efficient rendering (such as .glTF or FBX), ensuring that the lightweight model significantly reduces the file size and computing requirements while maintaining the necessary details, and finally obtaining a fire equipment BIM lightweight model.

[0093] Step S15: The location data, working status data and maintenance record data of the fire-fighting equipment in the fire-fighting equipment monitoring system are obtained in real time through the data synchronization module interface between the fire-fighting equipment monitoring system and are synchronously updated to the fire-fighting equipment BIM lightweight model.

[0094] In an embodiment of the present invention, the fire equipment monitoring system and the fire equipment BIM lightweight model are connected by using real-time data synchronization technology (such as WebSocket or API interface), and the location data, working status data and maintenance record data of the fire equipment are obtained in real time by using the data synchronization module interface between the fire equipment monitoring system, and the real-time updated data is integrated into the fire equipment BIM lightweight model by using the data synchronization module. In the synchronization process, it is necessary to ensure that the data format matches, and the location, status and maintenance record information of the equipment in the model are updated in real time to maintain the dynamic accuracy and practicality of the model.

[0095] Further, step S12 includes the following steps:

[0096] Step S121: performing aggregation processing on the geometric shape structure vertices of adjacent fire-fighting equipment in the geometric shape structure of the fire-fighting equipment BIM model to obtain a geometric vertex aggregation structure of the fire-fighting equipment BIM model;

[0097] Step S122: performing boundary simplification processing on the geometric structure boundary of the fire-fighting equipment within the geometric shape structure of the fire-fighting equipment BIM model based on the geometric vertex aggregation structure of the fire-fighting equipment BIM model, so as to generate a simplified design blueprint of the geometric structure boundary of the fire-fighting equipment BIM model;

[0098] Step S123: performing geometric shape simplification verification on the geometric shape structure of the fire equipment BIM model based on the geometric structure boundary simplification design blueprint of the fire equipment BIM model to obtain a geometric shape simplification verification report of the fire equipment BIM model;

[0099] Step S124: performing geometric simplification detail correction on the geometric structure boundary simplification design blueprint of the fire equipment BIM model according to the geometric shape simplification verification report of the fire equipment BIM model, so as to obtain the geometric structure simplification detail correction design blueprint of the fire equipment BIM model;

[0100] Step S125: Based on the fire equipment BIM model geometric structure simplified detail correction design blueprint, the fire equipment BIM model geometric shape structure is geometrically simplified and reconstructed to obtain a fire equipment BIM model geometric shape simplified and reconstructed design scheme.

[0101] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S12 in the embodiment, step S12 includes the following steps:

[0102] Step S121: performing aggregation processing on the geometric shape structure vertices of adjacent fire-fighting equipment in the geometric shape structure of the fire-fighting equipment BIM model to obtain a geometric vertex aggregation structure of the fire-fighting equipment BIM model;

[0103] In an embodiment of the present invention, the geometric shape structure vertices of adjacent fire-fighting equipment within the geometric shape structure of the fire-fighting equipment BIM model are aggregated. This step uses point cloud data processing tools to efficiently integrate the vertices, and merges the geometric vertices of adjacent equipment into a group of aggregated vertices. In specific implementation, a three-dimensional modeling software or algorithm, such as MeshLab or a custom geometry processing algorithm, is used to determine the distance between vertices by setting an aggregation threshold. When the distance is less than the set value, the vertices are merged into a new aggregated vertex, thereby reducing the number of vertices and improving subsequent processing efficiency. This aggregation process needs to simplify the complexity of the model while retaining the geometric shape features of the model, and ultimately obtains the geometric vertex aggregation structure of the fire-fighting equipment BIM model.

[0104] Step S122: performing boundary simplification processing on the geometric structure boundary of the fire-fighting equipment within the geometric shape structure of the fire-fighting equipment BIM model based on the geometric vertex aggregation structure of the fire-fighting equipment BIM model, so as to generate a simplified design blueprint of the geometric structure boundary of the fire-fighting equipment BIM model;

[0105] In an embodiment of the present invention, the geometric structure boundary of the fire equipment within the geometric shape structure of the fire equipment BIM model is simplified by combining the geometric vertex aggregation structure of the fire equipment BIM model generated by previous aggregation. The specific operation includes using a boundary simplification algorithm, such as the Douglas-Peucker algorithm, to simplify each boundary line segment. These algorithms remove redundant points and retain the points that best represent the boundary shape, thereby generating a simplified boundary blueprint. During implementation, the boundary data of the model is first extracted, and the simplification algorithm is applied to calculate the simplest shape of each boundary line. Then, a simplified design blueprint is generated. These design blueprints reflect the simplified boundary structure, making the model visually more concise and easy to handle, and finally simplifying and generating a simplified design blueprint of the geometric structure boundary of the fire equipment BIM model.

[0106] Step S123: performing geometric shape simplification verification on the geometric shape structure of the fire equipment BIM model based on the geometric structure boundary simplification design blueprint of the fire equipment BIM model to obtain a geometric shape simplification verification report of the fire equipment BIM model;

[0107] In an embodiment of the present invention, a geometric shape structure of the corresponding fire equipment BIM model is simplified and checked in detail by combining a previously designed and generated fire equipment BIM model geometric structure boundary simplification design blueprint using a geometric verification tool or a customized verification algorithm to ensure that its geometric shape can still maintain the design intent and functional requirements after simplification. The specific operation includes comparing the simplified model geometry with the original model geometry to check whether there is significant geometric distortion or functional problems. This verification involves using a geometric comparison tool, such as CloudCompare, to evaluate the impact of the simplification process on the model accuracy, generate a geometric shape simplification verification report, record the verification results and necessary correction suggestions, and finally obtain a fire equipment BIM model geometric shape simplification verification report.

[0108] Step S124: performing geometric simplification detail correction on the geometric structure boundary simplification design blueprint of the fire equipment BIM model according to the geometric shape simplification verification report of the fire equipment BIM model, so as to obtain the geometric structure simplification detail correction design blueprint of the fire equipment BIM model;

[0109] In an embodiment of the present invention, the simplified design blueprint of the geometric structure boundary of the fire equipment BIM model is corrected in detail by combining the previously verified simplified verification report of the geometric shape of the fire equipment BIM model. This process uses CAD software or special design tools to modify and optimize the original simplified blueprint. In the specific implementation, the geometric structure in the model is manually or automatically corrected according to the suggestions in the verification report. The correction process includes redefining the simplified boundary and adding necessary details to ensure that the model can still accurately reflect the actual structure after simplification. After the correction is completed, an updated simplified geometric structure detail correction design blueprint is generated for the next step of design plan formulation, and finally a simplified geometric structure detail correction design blueprint of the fire equipment BIM model is obtained.

[0110] Step S125: Based on the fire equipment BIM model geometric structure simplified detail correction design blueprint, the fire equipment BIM model geometric shape structure is geometrically simplified and reconstructed to obtain a fire equipment BIM model geometric shape simplified and reconstructed design scheme.

[0111] In an embodiment of the present invention, the geometric shape structure of the corresponding fire equipment BIM model is geometrically simplified and reconstructed by combining the simplified detail correction design blueprint of the geometric structure of the fire equipment BIM model obtained after previous simplification and correction. This step applies advanced modeling tools and techniques, such as the simplified reconstruction function in Revit or AutoCAD, to convert the corrected design blueprint into the final geometric shape simplified reconstruction design scheme. The specific operation includes importing the corrected design blueprint into the modeling software, reconstructing and optimizing the geometric shape, ensuring that the reconstructed model meets the actual needs in structure, and achieving the target simplification effect, and finally designing the geometric shape simplified reconstruction design scheme of the fire equipment BIM model.

[0112] Furthermore, the hierarchical tailoring of the fire equipment BIM model attribute information data in step S13 includes the following steps:

[0113] Perform equipment attribute dimension statistical analysis on the fire equipment BIM model attribute information data to obtain the equipment attribute dimensions of various attribute information in the fire equipment BIM model;

[0114] In an embodiment of the present invention, a statistical analysis of the equipment attribute dimensions is performed on the fire equipment BIM model attribute information data obtained by the previous analysis, so as to extract all attribute information from the BIM model, including the technical specifications, performance parameters and functional descriptions of the equipment, and use statistical analysis tools (such as the Pandas library in Python) to organize and classify the extracted data. The specific operations include summarizing the equipment attribute data and performing group statistics by category (for example, performance, location, maintenance status). The generated statistical data will reveal the distribution of each type of attribute in the overall model and determine the dimensions of each type of attribute, such as equipment performance parameters, maintenance records, installation location, etc., and finally obtain the equipment attribute dimensions of various types of attribute information in the fire equipment BIM model.

[0115] Preferably, the attribute dimension hierarchical decomposition processing is performed on the attribute information data of the fire equipment BIM model based on the equipment attribute dimension of each type of attribute information in the fire equipment BIM model, so as to obtain the attribute dimension hierarchy between each type of attribute information in the fire equipment BIM model;

[0116] In an embodiment of the present invention, the corresponding model attribute information in the fire equipment BIM model attribute information data is decomposed into attribute dimension levels by combining the equipment attribute dimensions of various attribute information in the fire equipment BIM model obtained by previous analysis, so as to establish a hierarchical structure of attribute dimensions according to the attribute dimensions obtained by previous analysis, and use data processing tools (such as the hierarchical classification function of Microsoft Excel or a custom data analysis script) to perform hierarchical decomposition of the attributes. The specific method includes stratifying the attributes according to the dimensions to which they belong, for example, decomposing the functional attributes, location attributes and maintenance attributes of the equipment into different levels, thereby marking and organizing the attributes in each level, ensuring that the position of each attribute in the hierarchical structure is correct and traceable, and finally obtaining the attribute dimension hierarchy between various attribute information in the fire equipment BIM model.

[0117] Preferably, the equipment function and maintenance impact assessment analysis is performed on various attribute information in the fire equipment BIM model attribute information data to obtain the equipment function and maintenance impact degree of various attributes in the fire equipment BIM model; based on the equipment function and maintenance impact degree of various attributes in the fire equipment BIM model, the attribute importance assessment analysis is performed on the corresponding various attribute information in the fire equipment BIM model attribute information data to obtain the importance score value of various attributes in the fire equipment BIM model;

[0118] In an embodiment of the present invention, an evaluation and analysis of the impact of equipment functions and maintenance is performed on various types of attribute information in the fire equipment BIM model attribute information data obtained by previous analysis, so as to combine the functional description and maintenance requirements of each attribute and use a functional evaluation tool (such as a customized evaluation model or algorithm) to perform an impact analysis on each attribute. The specific steps include setting function and maintenance impact evaluation indicators, such as the impact of equipment functions on safety and maintenance difficulty, applying these indicators to each attribute, and calculating the degree of its impact on the overall function and maintenance of the equipment. The analysis results will generate a report on the impact of equipment functions and maintenance, including a specific impact score of each attribute on equipment performance and maintenance. This report provides an evaluation of the importance of each attribute in terms of equipment functions and maintenance, thereby obtaining the degree of equipment functions and maintenance impact of various attributes in the fire equipment BIM model. At the same time, by combining the equipment functions and maintenance impact levels of various attributes in the fire equipment BIM model obtained from the previous evaluation and analysis, the corresponding fire equipment BIM model attribute information is evaluated and analyzed for attribute importance, so as to combine the function and maintenance impact scores obtained from the previous analysis with the attribute dimension data, and use the attribute importance scoring algorithm (such as weighted scoring method or comprehensive scoring model) to evaluate the importance of each attribute, and convert the equipment function and maintenance impact scores into attribute importance scoring values, consider the function impact weight and maintenance impact weight, calculate the comprehensive score, and generate a set of attribute importance score values ​​that show the importance of each attribute in the overall equipment, and finally obtain the importance score values ​​of various attributes in the fire equipment BIM model.

[0119] Preferably, based on the importance score values ​​of various attributes in the fire equipment BIM model, the attribute hierarchical tailoring standard is designed for the attribute dimension hierarchies between various attribute information in the fire equipment BIM model, so as to generate attribute importance tailoring standards for different attribute dimension levels of the fire equipment BIM model;

[0120] In an embodiment of the present invention, by combining the importance score values ​​of various attributes in the fire equipment BIM model obtained by previous quantitative calculation, the attribute dimension hierarchical trimming standard design between various attribute information in the fire equipment BIM model is performed, so that according to the attribute importance score values ​​obtained by previous analysis, a trimming standard design tool (such as a customized algorithm or rule engine) is used to set the trimming standard for the attribute. The specific method includes setting an importance threshold and a trimming standard. For example, attributes with a score lower than a certain threshold are marked as objects to be trimmed. The design standard should include trimming rules at different levels, such as retaining high-priority attributes and trimming low-priority attributes, so as to design and generate a detailed attribute importance trimming standard, define the trimming requirements and standards for each attribute dimension level, and finally design and generate the attribute importance trimming standard for different attribute dimension levels of the fire equipment BIM model.

[0121] Preferably, the attribute importance clipping standards of different attribute dimension levels of the fire equipment BIM model are used to perform attribute clipping processing layer by layer on the attribute dimension hierarchies between various attribute information in the fire equipment BIM model to obtain the attribute hierarchical clipping result of the fire equipment BIM model.

[0122] In an embodiment of the present invention, by combining the attribute importance trimming standards of different attribute dimension levels of the fire equipment BIM model designed and generated previously, the attribute dimension hierarchies corresponding to various types of attribute information in the fire equipment BIM model are trimmed layer by layer, so that the previously generated trimming standards are applied to each attribute level, and the trimming operation is performed layer by layer using an attribute trimming tool (such as a batch processing algorithm or data cleaning software). The importance score values ​​of the attributes are checked layer by layer according to the trimming standards, and the attributes with scores below the threshold are marked and deleted to ensure that the trimming operations at each level meet the preset standards, and the trimming process and results are recorded, and finally the hierarchical trimming results of the fire equipment BIM model attributes are obtained, which include a list of trimmed attributes and retained attributes to ensure that the model is optimized and meets the requirements.

[0123] Furthermore, the design of attribute hierarchical tailoring standards for attribute dimension hierarchies between various attribute information in the fire equipment BIM model based on the importance score values ​​of various attributes in the fire equipment BIM model includes the following steps:

[0124] Based on the attribute dimension hierarchy between various attribute information in the fire equipment BIM model, the importance score values ​​of various attributes in the fire equipment BIM model are classified hierarchically, and the attribute importance score value sets of different attribute dimension levels in the fire equipment BIM model are obtained;

[0125] In an embodiment of the present invention, the importance score values ​​of corresponding attributes in the fire equipment BIM model are classified hierarchically by combining the attribute dimension hierarchies between various attribute information in the fire equipment BIM model obtained in the previous analysis, so as to collect all attribute information in the BIM model and hierarchically organize them according to attribute dimensions (such as location, function, performance), and use the analytic hierarchy process (AHP) tool to score the importance of each attribute. The specific operation includes assigning various attributes to different dimension levels, and assigning weights according to the actual needs and influence of each level, using the AHP tool to calculate the relative importance score of each attribute, and classifying these scores into different levels, so as to generate corresponding different attribute importance score value sets containing the same attribute dimension level, and finally obtain the attribute importance score value sets of different attribute dimension levels in the fire equipment BIM model.

[0126] Preferably, based on the attribute importance score value set of different attribute dimension levels in the fire equipment BIM model, the attribute dimension hierarchical level between various attribute information in the fire equipment BIM model is subjected to attribute dimension hierarchical priority sorting processing to obtain the attribute importance priority sorting sequence of different attribute dimension levels in the fire equipment BIM model;

[0127] In an embodiment of the present invention, the attribute importance score value sets of different attribute dimension levels in the fire equipment BIM model obtained by previous classification are combined to perform priority sorting processing on the attribute dimension levels corresponding to various attribute information in the fire equipment BIM model, so as to collect the attribute importance score value sets of each attribute dimension level obtained previously, and input them into the sorting algorithm, and use the sorting algorithm (such as quick sort or merge sort) to prioritize the attribute importance scores in the attribute dimension level, and the sorting is based on the score value of each attribute, and the attributes with higher score values ​​are given higher priorities. After the sorting is completed, an attribute importance priority sorting sequence is generated, in which the high priority attributes are located at the front end of the sequence and the low priority attributes are located at the end of the sequence. For example, if the "equipment function" attribute score is higher, it is ranked in front in the sorting sequence, and the "appearance attribute" score is lower, it is ranked at the back, and finally the attribute importance priority sorting sequence of different attribute dimension levels in the fire equipment BIM model is obtained.

[0128] Preferably, the attribute hierarchical tailoring standard is designed for the attribute importance priority sorting sequence at different attribute dimension levels in the fire-fighting equipment BIM model to generate the attribute importance tailoring standard at different attribute dimension levels of the fire-fighting equipment BIM model.

[0129] In an embodiment of the present invention, a hierarchical attribute trimming standard is designed by analyzing the attribute priority sorting sequence of different attribute dimension levels in the fire equipment BIM model obtained by sorting previously, and processing it according to a preset trimming standard (such as a minimum importance threshold or a maximum redundancy), and using an attribute trimming tool (such as a custom trimming algorithm or a specific optimization module), and designing a standard to determine which attributes can be trimmed. The specific method includes setting an importance threshold, and marking the attributes below the threshold in the sorting sequence as objects to be trimmed according to this threshold. The generated trimming standard includes the trimming rules for each attribute dimension and the specific trimming standard document. For example, if the priority of the "equipment status" attribute is lower, it will be included in the trimming standard, while the priority of the "equipment function" attribute is higher and it will be retained. Finally, the attribute importance trimming standard for different attribute dimension levels of the fire equipment BIM model is designed and generated.

[0130] Furthermore, the process of streamlining the functional characteristics of the fire-fighting equipment in the original BIM model based on the hierarchical clipping result of the fire-fighting equipment BIM model attributes in step S13 includes the following steps:

[0131] Perform functional characteristic mapping analysis on the hierarchical tailoring results of the fire-fighting equipment BIM model attributes to obtain the attribute functional characteristic mapping data of the attribute hierarchies of each fire-fighting equipment BIM model;

[0132] In an embodiment of the present invention, by performing functional characteristic mapping analysis on the hierarchical tailoring results of the fire-fighting equipment BIM model attributes, the attributes of each layer of the BIM model are first classified, so that each layer of attributes can be matched with its corresponding function by using a functional mapping tool (such as a GIS functional analysis module or a data visualization tool). This process includes extracting detailed attribute data of each layer, such as equipment parameters, performance indicators, and operating characteristics, and associating them with actual application scenarios through a functional characteristic mapping model. The generated mapping data will include functional descriptions, influencing factors, and relationships at each level to form an attribute functional characteristic mapping data set, and finally obtain attribute functional characteristic mapping data of each fire-fighting equipment BIM model attribute layer.

[0133] Preferably, the attribute function characteristic mapping data of the attribute layer of each fire-fighting equipment BIM model is evaluated and analyzed for function redundancy, so as to obtain the attribute function characteristic redundancy of the attribute layer of each fire-fighting equipment BIM model;

[0134] In an embodiment of the present invention, a redundancy analysis tool (such as a dedicated redundancy analysis software or a customized algorithm model) is used to evaluate and analyze the functional redundancy of the attribute function characteristic mapping data of each fire equipment BIM model attribute layer obtained previously, so as to identify and analyze the repeated or redundant items of the functional characteristics in each layer, and by setting evaluation indicators, such as redundancy threshold and redundancy type, the function of each attribute layer is analyzed, and the results include the redundancy score of each layer of attributes and a detailed list of redundant items, and finally the attribute function characteristic redundancy of each fire equipment BIM model attribute layer is obtained.

[0135] Preferably, based on the attribute function characteristic redundancy of each fire-fighting equipment BIM model attribute layer, the corresponding fire-fighting equipment in the original BIM model is subjected to equipment function redundancy identification analysis to obtain a fire-fighting equipment BIM model function characteristic redundancy report;

[0136] In an embodiment of the present invention, the redundancy of equipment functions of the corresponding fire-fighting equipment in the original BIM model is identified and analyzed by combining the redundancy of the attribute function characteristics of the attribute layer of each fire-fighting equipment BIM model obtained by previous evaluation and analysis, so as to compare the redundancy data with the equipment functions in the original BIM model, and execute the redundancy identification algorithm by using a data processing tool (such as a Python script or data analysis software), and mark the equipment functions with high redundancy. The generated report includes a list of redundant functions of each device, the degree of redundancy, and the recommended improvement measures. This report describes in detail the redundancy of each device function, and finally obtains a redundancy report on the functional characteristics of the fire-fighting equipment BIM model.

[0137] Preferably, the functional characteristic redundancy report of the fire-fighting equipment BIM model is streamlined to generate a functional characteristic simplification plan for the fire-fighting equipment BIM model.

[0138] In an embodiment of the present invention, a function simplification tool (such as a feature selection algorithm or an optimization tool) is used to analyze the functions marked as redundant in the previously analyzed fire equipment BIM model function characteristic redundancy report, so as to simplify the functions according to optimization goals, such as reducing redundancy, improving system efficiency, etc. The generated simplification plan includes deleted redundant functions, adjusted functional characteristics and analysis of their impact on system performance. The simplification plan is documented to form an implementation guide, so as to facilitate the application of the simplification plan to the actual BIM model, and finally a fire equipment BIM model function characteristic simplification plan is designed and generated.

[0139] Further, step S2 includes the following steps:

[0140] Step S21: Acquire user fire equipment BIM model operation requirement data;

[0141] In an embodiment of the present invention, by obtaining the specific operational requirements of the user's fire equipment BIM model, collecting relevant demand information from the user, and collecting the user's specific requirements for the functions of the fire equipment BIM model through questionnaires or face-to-face interviews, these demand data should include the user's specific expectations for model operation, interface interaction, and data processing, such as equipment monitoring frequency, data display method, and priority of interactive functions, and the collected data are organized into spreadsheets or database records to form a detailed demand list, and finally the user's fire equipment BIM model operation demand data is obtained.

[0142] Step S22: performing interactive design requirements analysis on the fire equipment BIM lightweight model based on the user's fire equipment BIM model operation requirements data to obtain a fire equipment BIM model interactive design requirements specification document;

[0143] In an embodiment of the present invention, an interactive design requirements analysis is performed on the corresponding fire equipment BIM lightweight model by combining the user fire equipment BIM model operation requirement data obtained in the previous analysis, so as to identify the core requirements and additional requirements by classifying the collected requirement data, and draw an interactive flow chart and a user interface model by using a requirement analysis tool, such as a requirement modeling software (such as a UML tool), and write a requirement specification document, which describes in detail the implementation method of the interactive function, data flow, interface elements and their functions. The document should include user stories, functional specifications, operation steps and design constraints to ensure that the design meets user expectations, and finally obtain a fire equipment BIM model interactive design requirements specification document.

[0144] Step S23: Designing a user interaction interface for the fire equipment BIM lightweight model based on the fire equipment BIM model interaction design requirement specification document to generate a fire equipment interactive user interface;

[0145] In an embodiment of the present invention, the user interaction interface of the corresponding fire equipment BIM lightweight model is designed by combining the fire equipment BIM model interaction design requirement specification document obtained in the previous design, so as to create an interactive prototype by using an interface design tool (such as Adobe XD or Figma). In combination with the specifications in the requirement document, the layout and interactive elements of the user interface are designed. The design process includes determining the position of the interface elements, the design of the function buttons, the configuration of the data display area and the user operation process. The generated user interaction interface should be able to display the key data of the fire equipment and support the user to perform effective operations, such as data query, equipment control, etc., to ensure that the final interface meets user needs and has high usability. Finally, the design generates an interactive user interface for fire equipment.

[0146] Step S24: The fire equipment data is read and processed on the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain a fire equipment status information data set, wherein the fire equipment status information data set includes the location data, working status data and maintenance record data of the fire equipment.

[0147] In an embodiment of the present invention, data reading and processing is performed on the BIM lightweight model of fire equipment by using the data query function in the interactive user interface of the fire equipment. The user selects the data query option on the interactive user interface of the fire equipment, enters the query conditions (such as equipment ID or time range), and extracts the location data, working status data and maintenance record data of the fire equipment from the BIM model database by calling the background API interface. After the data is read, it is integrated into a comprehensive data set, which includes information such as the specific location of the equipment, the current working status, and historical maintenance records, and is saved in a structured format (such as JSON or CSV file), and finally a fire equipment status information data set is obtained, wherein the fire equipment status information data set includes the location data, working status data and maintenance record data of the fire equipment.

[0148] Further, step S24 includes the following steps:

[0149] Step S241: reading and processing the fire equipment location data of the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain the location data of the fire equipment;

[0150] In an embodiment of the present invention, the location data of a previous BIM lightweight model of fire-fighting equipment is read and processed by utilizing the built-in data query function in the interactive user interface of the fire-fighting equipment, so as to start the data query function, select the "location data" query option, and connect to the location data database in the BIM model, enter the query conditions, such as the equipment number or location area, to filter out the location data of the relevant equipment, and the query results are displayed through the interface, including the specific coordinates, positioning description and identification information of the equipment, and the extracted data will be saved in a standardized data format, such as a JSON file or a database record, and finally the location data of the fire-fighting equipment is obtained.

[0151] Step S242: reading and processing the working status data of the fire-fighting equipment on the BIM lightweight model of the fire-fighting equipment through the data query function in the fire-fighting equipment interactive user interface to obtain the working status data of the fire-fighting equipment;

[0152] In an embodiment of the present invention, the working status data of the BIM lightweight model of the fire-fighting equipment is read and processed by using the data query function in the interactive user interface of the fire-fighting equipment to access the data query function, select the "working status data" option, interact with the working status information database in the BIM model, and set query conditions, such as equipment ID or status type, to obtain the current working status data of the equipment. The query results will display detailed information such as the equipment's operating status, working mode, performance indicators, etc. The read data will be in a standardized data format, such as a JSON file or database record, and finally the working status data of the fire-fighting equipment will be obtained.

[0153] Step S243: reading and processing the fire equipment maintenance record data of the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain the maintenance record data of the fire equipment;

[0154] In an embodiment of the present invention, the maintenance record data of the fire-fighting equipment is similarly obtained by using the data query function in the interactive user interface of the fire-fighting equipment to enable the data query function, select the "maintenance record data" option, connect to the maintenance record database in the BIM model, perform a query operation, specify query conditions, such as equipment serial number or maintenance time range, to retrieve relevant maintenance records, the query results include detailed information of the maintenance operation, such as maintenance date, maintenance type, maintenance personnel and measures taken, and the data obtained will be in a standardized data format, such as a JSON file or database record, to ensure the integrity and accuracy of the data, and finally obtain the maintenance record data of the fire-fighting equipment.

[0155] Step S244: Merge the location data, working status data and maintenance record data of the fire-fighting equipment to obtain a fire-fighting equipment status information data set.

[0156] In an embodiment of the present invention, the location data, working status data and maintenance record data of the fire-fighting equipment obtained by the previous query are formatted to ensure that each data set has consistent fields, such as equipment ID and timestamp, and the data is merged by using a data merging tool or programming language (such as the Pandas library in Python) to connect the location data, working status data and maintenance record data through a common key value (such as equipment ID). The merged data set will form a data table containing all relevant equipment information, covering the current location, working status and historical maintenance records of the equipment, and finally a fire-fighting equipment status information data set is obtained.

[0157] Further, step S3 includes the following steps:

[0158] Step S31: using the interactive analysis function in the fire equipment interactive user interface to perform dynamic change trend recognition and analysis on the location data and working status data of the fire equipment, and obtain the dynamic change trend of the location of the fire equipment and the dynamic change trend of the working status of the fire equipment;

[0159] In an embodiment of the present invention, the location information and working status data of the fire-fighting equipment are loaded by using the interactive analysis function built into the interactive user interface of the fire-fighting equipment. These data are usually collected through sensors and real-time monitoring systems and stored in a database. Data visualization tools, such as dynamic time series analysis tools, are used to visualize these data into charts for dynamic change trend analysis. By setting a time window (for example, the past 24 hours or the past week), the changing trends of the equipment location and working status are observed, the movement trajectory of the equipment location and the fluctuations of the working status are identified, thereby obtaining the dynamic change trend data of the equipment, and finally obtaining the dynamic change trend of the fire-fighting equipment location and the dynamic change trend of the fire-fighting equipment working status.

[0160] Step S32: Analyze abnormal behavior characteristics of the dynamic change trend of the position of the fire-fighting equipment and the dynamic change trend of the working state of the fire-fighting equipment to obtain abnormal behavior characteristic data of the position change of the fire-fighting equipment and abnormal behavior characteristic data of the working state change of the fire-fighting equipment;

[0161] In an embodiment of the present invention, by using statistical analysis methods, such as standard deviation calculation and outlier detection algorithm, statistical analysis of abnormal behavior characteristics is performed on the dynamic change trend of the fire-fighting equipment position and the dynamic change trend of the fire-fighting equipment working state obtained by previous analysis, so as to analyze whether the changes in the equipment position and working state exceed the normal range. For example, a box plot method or a Z-score method is applied to identify abnormal points, wherein for the position change trend, trajectory changes that do not conform to the normal movement pattern are identified; for the working state change trend, abnormal working frequency or state changes are identified, and the generated abnormal behavior characteristic data include a specific description of each anomaly, such as the distance of position deviation, the abnormal fluctuation amplitude of the working state, etc., and finally the abnormal behavior characteristic data of the fire-fighting equipment position change and the abnormal behavior characteristic data of the fire-fighting equipment working state change are obtained.

[0162] Step S33: performing interactive abnormal pattern recognition analysis on the abnormal behavior characteristic data of the position change of the fire-fighting equipment and the abnormal behavior characteristic data of the working state change of the fire-fighting equipment to obtain the interactive abnormal behavior pattern recognition result of the fire-fighting equipment;

[0163] In an embodiment of the present invention, an interactive abnormal pattern recognition analysis is performed on the abnormal behavior characteristic data of the fire-fighting equipment position change and the abnormal behavior characteristic data of the fire-fighting equipment working state change obtained previously by using a machine learning algorithm (such as cluster analysis (such as K-means or DBSCAN) or an anomaly detection algorithm (such as Isolation Forest or One-Class SVM)) to achieve pattern recognition of abnormal behavior, and all abnormal behavior characteristic data are input into the model. The behavior patterns and laws are identified through the algorithm. The obtained recognition results should show the characteristics of each abnormal behavior pattern, such as abnormal frequency, common abnormal combinations, etc., and finally the interactive abnormal behavior pattern recognition results of fire-fighting equipment are obtained.

[0164] Step S34: According to the preset abnormal warning rules, the fire equipment interactive abnormal behavior pattern recognition results are interactively analyzed for abnormal warning problems of fire equipment to obtain a list of abnormal warning problems of the BIM lightweight model fire equipment status.

[0165] In an embodiment of the present invention, the interactive abnormal behavior pattern recognition results of fire-fighting equipment obtained by the previous analysis are analyzed by using pre-set abnormal warning rules to compare the abnormal pattern recognition results with the preset abnormal warning rules. These rules include critical values ​​of equipment status, warning trigger conditions, etc., and a rule engine or decision tree algorithm is applied to match the identified abnormal patterns with the rules, and a list of abnormal behavior problems that meet the warning conditions is screened out, thereby generating a corresponding abnormal warning problem list. All abnormal warning problems should be listed in detail, including the type of problem, warning level and existing impact, and this information is converted into a list of abnormal warning problems in the state of the BIM lightweight model, and finally a list of abnormal warning problems in the state of the BIM lightweight model fire-fighting equipment is obtained.

[0166] Further, step S4 includes the following steps:

[0167] Step S41: Perform equipment problem maintenance history mining and analysis on the maintenance record data of the fire-fighting equipment to obtain the fire-fighting equipment problem maintenance content record data;

[0168] In an embodiment of the present invention, an in-depth analysis is performed on the maintenance record data of the fire-fighting equipment obtained by previous monitoring to mine the historical maintenance content of the equipment problems, so that the historical maintenance data is imported into a data analysis platform, such as an SQL database or a data mining tool, for data cleaning and preprocessing, and the frequency of occurrence and maintenance mode of the equipment problems are analyzed through a data mining algorithm (such as association rule mining). This step involves statistical analysis and pattern recognition, and requires comprehensive retrieval and organization of data such as equipment failure type, frequency of occurrence and maintenance measures, so as to obtain historical maintenance records including detailed maintenance records, maintenance time, maintenance personnel and measures taken for each equipment failure, and finally obtain historical maintenance content record data of fire-fighting equipment problems.

[0169] Step S42: Based on the historical maintenance content record data of fire equipment problems, a maintenance record correlation matching analysis is performed on the BIM lightweight model fire equipment status abnormal warning problem list to obtain a maintenance correlation matching relationship between the fire equipment status abnormal warning problem and the historical maintenance content record;

[0170] In an embodiment of the present invention, a data matching tool (such as Python's Pandas library or a special matching algorithm) is used to perform a problem matching association analysis on the BIM lightweight model fire equipment status abnormality warning problem list obtained by the previous analysis in combination with the corresponding equipment abnormality problem situation in the historical maintenance content record data of the fire equipment problem obtained by the previous mining analysis, so as to determine the association relationship between each status abnormality warning problem and the historical maintenance record by setting matching rules, such as fault code matching and fault description similarity calculation. This step aims to establish a matching relationship between the equipment status abnormality and its historical maintenance record, and identify the possible causes of the abnormal problem and its relevance in the historical record, and finally obtain the maintenance association matching relationship between the fire equipment status abnormality warning problem and the historical maintenance content record.

[0171] Step S43: Based on the maintenance association matching relationship between the abnormal warning problem of the fire equipment status and the historical maintenance content records, the corresponding BIM lightweight model fire equipment status abnormal warning problem list is analyzed for abnormal problem maintenance suggestions, and a fire equipment status abnormal problem maintenance suggestion plan is generated to execute the corresponding fire equipment status abnormal problem maintenance response work.

[0172] In an embodiment of the present invention, by combining the maintenance association matching relationship between the abnormal fire equipment status warning problems obtained in the previous analysis and the historical maintenance content records, the fire equipment status abnormal warning problems corresponding to the BIM lightweight model fire equipment status abnormal warning problem list are identified and analyzed for maintenance suggestions, so as to use the association analysis results to identify the potential maintenance needs of each abnormal warning problem, and with the help of a data analysis platform or a decision support system, combined with historical maintenance data and equipment characteristics, formulate targeted maintenance suggestions, including fault repair steps, necessary replacement parts, recommended maintenance time windows, and possible preventive measures. The handling methods and required resources for each abnormal problem should be described in detail to ensure the normal operation of the fire equipment and reduce the possibility of future failures, thereby generating corresponding fire equipment status abnormal problem maintenance suggestion plans to perform corresponding fire equipment status abnormal problem maintenance response work.

[0173] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0174] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for reading and interacting with fire equipment data based on BIM lightweight, characterized in that: The following steps are involved: Step S1: Perform lightweight processing on the model format of the fire-fighting equipment in the original BIM model to obtain a lightweight BIM model of the fire-fighting equipment; obtain the location data, working status data and maintenance record data of the fire-fighting equipment in real time through the data synchronization module interface between the fire-fighting equipment monitoring system and synchronously update them to the lightweight BIM model of the fire-fighting equipment; Step S2: designing an interactive user interface for fire equipment using the BIM lightweight model of fire equipment, and performing fire equipment data reading and processing on the BIM lightweight model of fire equipment through the data query function in the interactive user interface of fire equipment to obtain a fire equipment status information data set, wherein the fire equipment status information data set includes location data, working status data, and maintenance record data of the fire equipment; Step S3: using the interactive analysis function in the interactive user interface of the fire equipment to interactively analyze the abnormal warning problems of the fire equipment on the location data and working status data of the fire equipment, and obtaining a list of abnormal warning problems of the fire equipment status of the BIM lightweight model; Step S4: Based on the maintenance record data of the fire-fighting equipment, the BIM lightweight model fire-fighting equipment status abnormality warning problem list is analyzed for status abnormality matching maintenance suggestions, and a fire-fighting equipment status abnormality problem maintenance suggestion plan is generated to execute the corresponding fire-fighting equipment status abnormality problem maintenance response work.

2. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: extracting the geometric shape and attribute information of the fire-fighting equipment in the original BIM model to obtain the geometric shape structure of the fire-fighting equipment BIM model and the attribute information data of the fire-fighting equipment BIM model; Step S12: performing geometric simplification and reconstruction design on the geometric shape structure of the fire-fighting equipment BIM model to obtain a geometric shape simplification and reconstruction design scheme of the fire-fighting equipment BIM model; Step S13: performing equipment attribute hierarchical tailoring processing on the fire equipment BIM model attribute information data to obtain a fire equipment BIM model attribute hierarchical tailoring result; performing functional characteristic streamlining processing on the fire equipment in the original BIM model based on the fire equipment BIM model attribute hierarchical tailoring result to generate a fire equipment BIM model functional characteristic streamlining solution; Step S14: According to the simplified reconstruction design scheme of the geometric shape of the fire equipment BIM model and the simplified scheme of the functional characteristics of the fire equipment BIM model, the fire equipment in the original BIM model is lightweighted to obtain a fire equipment BIM lightweight model; Step S15: The location data, working status data and maintenance record data of the fire-fighting equipment in the fire-fighting equipment monitoring system are obtained in real time through the data synchronization module interface between the fire-fighting equipment monitoring system and are synchronously updated to the fire-fighting equipment BIM lightweight model.

3. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 2 is characterized in that: Step S12 includes the following steps: Step S121: performing aggregation processing on the geometric shape structure vertices of adjacent fire-fighting equipment in the geometric shape structure of the fire-fighting equipment BIM model to obtain a geometric vertex aggregation structure of the fire-fighting equipment BIM model; Step S122: performing boundary simplification processing on the geometric structure boundary of the fire-fighting equipment within the geometric shape structure of the fire-fighting equipment BIM model based on the geometric vertex aggregation structure of the fire-fighting equipment BIM model, so as to generate a simplified design blueprint of the geometric structure boundary of the fire-fighting equipment BIM model; Step S123: performing geometric shape simplification verification on the geometric shape structure of the fire equipment BIM model based on the geometric structure boundary simplification design blueprint of the fire equipment BIM model to obtain a geometric shape simplification verification report of the fire equipment BIM model; Step S124: performing geometric simplification detail correction on the geometric structure boundary simplification design blueprint of the fire equipment BIM model according to the geometric shape simplification verification report of the fire equipment BIM model, so as to obtain the geometric structure simplification detail correction design blueprint of the fire equipment BIM model; Step S125: Based on the fire equipment BIM model geometric structure simplified detail correction design blueprint, the fire equipment BIM model geometric shape structure is geometrically simplified and reconstructed to obtain a fire equipment BIM model geometric shape simplified and reconstructed design scheme.

4. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 2 is characterized in that: The step S13 of performing equipment attribute hierarchical tailoring processing on the fire equipment BIM model attribute information data includes the following steps: Perform equipment attribute dimension statistical analysis on the fire equipment BIM model attribute information data to obtain the equipment attribute dimensions of various attribute information in the fire equipment BIM model; Based on the equipment attribute dimensions of various attribute information in the fire equipment BIM model, the attribute dimension hierarchical decomposition processing is performed on the attribute information data of the fire equipment BIM model to obtain the attribute dimension hierarchy between various attribute information in the fire equipment BIM model; Perform equipment function and maintenance impact assessment and analysis on various attribute information in the fire equipment BIM model attribute information data, and obtain the equipment function and maintenance impact of various attributes in the fire equipment BIM model; perform attribute importance assessment and analysis on the corresponding various attribute information in the fire equipment BIM model attribute information data based on the equipment function and maintenance impact of various attributes in the fire equipment BIM model, and obtain the importance score of various attributes in the fire equipment BIM model; Based on the importance score of each attribute in the fire equipment BIM model, the attribute hierarchical tailoring standard is designed for the attribute dimension hierarchical levels between various attribute information in the fire equipment BIM model, so as to generate the attribute importance tailoring standard of different attribute dimension levels of the fire equipment BIM model; According to the attribute importance cutting standard of different attribute dimension levels of the fire equipment BIM model, the attribute dimension hierarchical cutting of various attribute information in the fire equipment BIM model is performed layer by layer to obtain the hierarchical cutting result of the fire equipment BIM model attributes.

5. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 4 is characterized in that: The design of attribute hierarchical tailoring standard for attribute dimension hierarchies between various attribute information in the fire equipment BIM model based on the importance score values ​​of various attributes in the fire equipment BIM model includes the following steps: Based on the attribute dimension hierarchy between various attribute information in the fire equipment BIM model, the importance score values ​​of various attributes in the fire equipment BIM model are classified hierarchically, and the attribute importance score value sets of different attribute dimension levels in the fire equipment BIM model are obtained; Based on the attribute importance score value set of different attribute dimension levels in the fire equipment BIM model, the attribute dimension hierarchical priority sorting processing is performed on the attribute dimension hierarchical levels between various attribute information in the fire equipment BIM model, and the attribute importance priority sorting sequence of different attribute dimension levels in the fire equipment BIM model is obtained; The attribute hierarchical tailoring standard is designed for the attribute importance priority sorting sequence at different attribute dimension levels in the fire equipment BIM model to generate the attribute importance tailoring standard at different attribute dimension levels of the fire equipment BIM model.

6. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 2 is characterized in that: The process of streamlining the functional characteristics of the fire-fighting equipment in the original BIM model based on the hierarchical clipping result of the fire-fighting equipment BIM model attribute in step S13 includes the following steps: Perform functional characteristic mapping analysis on the hierarchical tailoring results of the fire-fighting equipment BIM model attributes to obtain the attribute functional characteristic mapping data of the attribute hierarchies of each fire-fighting equipment BIM model; Perform functional redundancy evaluation and analysis on the attribute function characteristic mapping data of the attribute layer of each fire-fighting equipment BIM model to obtain the attribute function characteristic redundancy of the attribute layer of each fire-fighting equipment BIM model; Based on the attribute function redundancy of each fire equipment BIM model attribute layer, the corresponding fire equipment in the original BIM model is identified and analyzed for equipment function redundancy, so as to obtain a fire equipment BIM model function characteristic redundancy report; The redundant report of the functional characteristics of the fire-fighting equipment BIM model is streamlined to generate a streamlined plan for the functional characteristics of the fire-fighting equipment BIM model.

7. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: Acquire user fire equipment BIM model operation requirement data; Step S22: performing interactive design requirements analysis on the fire equipment BIM lightweight model based on the user's fire equipment BIM model operation requirements data to obtain a fire equipment BIM model interactive design requirements specification document; Step S23: Designing a user interaction interface for the fire equipment BIM lightweight model based on the fire equipment BIM model interaction design requirement specification document to generate a fire equipment interactive user interface; Step S24: The fire equipment data is read and processed on the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain a fire equipment status information data set, wherein the fire equipment status information data set includes the location data, working status data and maintenance record data of the fire equipment.

8. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 7 is characterized in that: Step S24 includes the following steps: Step S241: reading and processing the fire equipment location data of the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain the location data of the fire equipment; Step S242: reading and processing the working status data of the fire-fighting equipment on the BIM lightweight model of the fire-fighting equipment through the data query function in the fire-fighting equipment interactive user interface to obtain the working status data of the fire-fighting equipment; Step S243: reading and processing the fire equipment maintenance record data of the fire equipment BIM lightweight model through the data query function in the fire equipment interactive user interface to obtain the maintenance record data of the fire equipment; Step S244: Merge the location data, working status data and maintenance record data of the fire-fighting equipment to obtain a fire-fighting equipment status information data set.

9. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: using the interactive analysis function in the fire equipment interactive user interface to perform dynamic change trend recognition and analysis on the location data and working status data of the fire equipment, and obtain the dynamic change trend of the location of the fire equipment and the dynamic change trend of the working status of the fire equipment; Step S32: Analyze abnormal behavior characteristics of the dynamic change trend of the position of the fire-fighting equipment and the dynamic change trend of the working state of the fire-fighting equipment to obtain abnormal behavior characteristic data of the position change of the fire-fighting equipment and abnormal behavior characteristic data of the working state change of the fire-fighting equipment; Step S33: performing interactive abnormal pattern recognition analysis on the abnormal behavior characteristic data of the position change of the fire-fighting equipment and the abnormal behavior characteristic data of the working state change of the fire-fighting equipment to obtain the interactive abnormal behavior pattern recognition result of the fire-fighting equipment; Step S34: According to the preset abnormal warning rules, the fire equipment interactive abnormal behavior pattern recognition results are interactively analyzed for abnormal warning problems of fire equipment to obtain a list of abnormal warning problems of the BIM lightweight model fire equipment status.

10. The method for reading and interacting with fire equipment data based on BIM lightweight according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: Perform equipment problem maintenance history mining and analysis on the maintenance record data of the fire-fighting equipment to obtain the fire-fighting equipment problem maintenance content record data; Step S42: Based on the historical maintenance content record data of fire equipment problems, a maintenance record correlation matching analysis is performed on the BIM lightweight model fire equipment status abnormal warning problem list to obtain a maintenance correlation matching relationship between the fire equipment status abnormal warning problem and the historical maintenance content record; Step S43: Based on the maintenance association matching relationship between the abnormal warning problem of the fire equipment status and the historical maintenance content records, the corresponding BIM lightweight model fire equipment status abnormal warning problem list is analyzed for abnormal problem maintenance suggestions, and a fire equipment status abnormal problem maintenance suggestion plan is generated to execute the corresponding fire equipment status abnormal problem maintenance response work.

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