Indoor decoration engineering intelligent management system applying BIM technology

Abstract

The invention discloses an indoor decoration engineering intelligent management system applying a BIM technology, and relates to the technical field of intelligent building management, the system monitors environmental data and material data in real time through a sensor group installed at a construction site, and the system transmits the data to a data integration server and processes the data to generate a material influence data set. Based on a three-dimensional model constructed by a BIM system, the system calculates a construction risk index cfx, carries out preliminary risk assessment on the construction risk index cfx and a material moisture bearing threshold A, and calculates a depth risk index SDF and carries out depth risk assessment on the depth risk index SDF and the material moisture bearing threshold A when there is no risk in preliminary assessment. A risk thermodynamic diagram is generated from an evaluation result through graphic rendering and is superposed on the three-dimensional model, and a risk area is visually identified through color coding. The system updates rendering results in real time and transmits the rendering results to a user side through a wireless network, risk indexes and detailed early warning information are provided, and a project manager is assisted to take prevention measures in time.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent building management, and in particular to an intelligent management system for indoor decoration projects using BIM technology. Background Art

[0002] With the continuous advancement of urbanization, the construction industry has gradually become one of the important pillars of national economic development. In modern cities, interior decoration, as a key link to improve living comfort and quality of life, is no longer limited to simple aesthetic needs, but also incorporates environmental protection, energy saving and health considerations. However, with the rapid development of the construction industry, traditional decoration management methods have gradually exposed their shortcomings, especially in the identification and response of complex environmental factors and dynamic risks. Climate change and frequent extreme weather have led to a continuous increase in humidity levels in many cities, especially in tropical, subtropical and coastal cities, where high humidity environments frequently occur, posing a severe challenge to the stability of decoration materials and the long-term safety of building structures.

[0003] Existing indoor decoration project management usually relies on manual inspections and regular assessments, lacking real-time monitoring and comprehensive analysis methods. Especially in my country's coastal cities with high humidity environments, the climate and humidity fluctuate greatly, which brings greater challenges to the long-term stability of decoration materials and is insufficient in the assessment of the impact of humidity on materials. Traditional methods usually fail to accurately capture the dynamic changes in humidity, resulting in delayed warning of the risk of moisture in materials. The impact of indoor humidity on materials is often underestimated, especially in cities with high humidity environments, where the risk of moisture in materials increases due to the long-term maintenance of high air humidity levels. Humidity fluctuations may be more severe in different seasons and weather conditions, and in the absence of real-time data collection and processing, traditional risk assessment methods are not easy to promptly identify the impact of humidity changes on structural strength, resulting in potential safety hazards that cannot be effectively warned. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an intelligent management system for interior decoration projects using BIM technology, which solves the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent management system for indoor decoration projects using BIM technology, including a field data acquisition module, a data processing module, a data integration module, a material reduction analysis module, a deep risk assessment module and a visual early warning module; The field data acquisition module is used to construct a data integration server and communicate with a sensor group installed at the construction site through a wireless network, monitor environmental data and material data in real time through the sensor group, and transmit the data to the data integration server; The data processing module is used to receive environmental data and material data, perform preprocessing to obtain a material impact data set, and then store the material impact data set in a non-relational database NoSQL; The data integration module is used to construct a three-dimensional model, import the material impact data set into the three-dimensional model, calculate through the BIM system, obtain the construction risk index cfx, and perform construction risk assessment with the preset material moisture tolerance threshold A; The material reduction analysis module is used to generate a humidity time series through the period collected by the humidity sensor when there is no risk in the preliminary assessment, and calculate the long-term dynamic reduction factor ZJ(H, t) in combination with the standard humidity value H0 of the material at normal temperature and humidity; The depth risk assessment module is used to perform summary calculation based on the obtained construction risk index cfx and the long-term dynamic reduction factor ZJ(H, t), obtain the depth risk index SDF, and perform depth assessment with the preset material moisture tolerance threshold A; The visual warning module is used to collect and integrate construction site sensor data and assessment data, generate a heat map, overlay risk information on the three-dimensional model, and after color marking, transmit it to the user end via a wireless network.

[0006] Preferably, the field data acquisition module includes a data acquisition unit and a data transmission unit; The data acquisition unit monitors the environmental data and material data in real time through the sensor group installed at the construction site, sets the acquisition frequency of the sensor group to every 5 minutes and builds a data integration server, and establishes a communication connection with the sensor group through a wireless network; The sensor group includes a humidity sensor, a temperature sensor and a load stress sensor; The changes of indoor air humidity H(t) are monitored in real time through humidity sensors installed at the construction site; The changes of the load stress hz(t) of the installed materials are monitored in real time by means of load stress sensors installed at the construction site; The data transmission unit constructs a data integration server and sets up a wireless network to wirelessly connect the data integration server with the sensor group, transmits the collected environmental data and material data to the data integration server, and annotates the environmental data and material data with time stamps.

[0007] Preferably, the data processing module includes a data processing unit and a data storage unit; The data processing unit receives the environmental data and material data in real time through the BIM system, and performs data verification, denoising, outlier processing and dimensionless processing on the environmental data and material data to obtain a material impact data set; The real-time data collected periodically by the temperature sensor forms an indoor temperature time series T(t i ), T(t i+1 ), ..., T(t i+n ), and then obtain the temperature gradient ∆T through differential calculation. The specific algorithm formula is: ; The material impact data set includes indoor air humidity H(t), indoor temperature gradient ∆T, real-time load stress hz(t), maximum stress hz max and the material water content peak H lim ; The data storage unit is used to construct a non-relational database NoSQL, and the material impact data set is stored in the non-relational database NoSQL through a local area network to manage and store the material impact data set. The non-relational database NoSQL includes a real-time data table and a historical data table. The material impact data set acquired in real time is stored in the real-time data table, and the upper group of data in the real-time data table is automatically transferred to the historical data table for long-term storage.

[0008] Preferably, the data integration module includes a data integration unit and a risk analysis unit; The data integration unit constructs a BIM system through a data integration server. The BIM system extracts a material impact data set in a real-time data table through a local area network, and then creates a new project and selects an interior design project template through the BIM system. The import CAD function is used to import the existing two-dimensional CAD drawings into the working environment of the BIM system, and the reference point and elevation of the project are defined. Based on the imported drawings, the BIM system is used to create room partition walls, and the wall thickness and height are adjusted through the property panel. Customized components, custom sizes and material properties are selected according to design requirements to build a three-dimensional model of the construction site layout. The BIM system extracts the material impact data set from the real-time data table, and synchronously imports it to the same position in the 3D model based on the sensor location information, material installation location information, annotation timestamp, sensor identification and data type arranged on the ground. When specifying properties for indoor components in the BIM system, material properties are entered through the material editor and plug-in extensions to truly simulate the construction site layout and the material properties used.

[0009] Preferably, the risk analysis unit includes a construction risk analysis unit and a construction risk assessment unit; The construction risk analysis unit analyzes the influence of indoor air humidity H(t) on the structural strength of materials based on the constructed three-dimensional model through the BIM system, and analyzes the reduction factor β(H) of humidity on structural strength in combination with the standard humidity value H0 of the material at normal temperature and humidity. , w represents the correction constant, and then combined with the material impact data set for comprehensive calculation to obtain the construction risk index cfx; The construction risk index cfx is calculated by the following formula: ; In the formula, α represents the hygroscopicity coefficient of the material, which is a dimensionless value obtained from material testing. represents the temperature influence factor, H(t) represents the air humidity at time t, hz(t) represents the real-time load stress of the material at time t, and H lim Indicates the peak water content of the material, hz max Indicates the maximum stress, the maximum stress hz max and the material water content peak H lim Initial input by the user based on material criteria.

[0010] Preferably, the construction risk assessment unit extracts the historical material impact data set from the historical data table and imports it into the BIM system. The BIM system uses statistical methods to analyze the influence of temperature, humidity and load stress on the long-term stability of the material structure, and forms a basic data set, identifies the mean of the fluctuation, presets the material moisture tolerance threshold A, and performs construction risk assessment with the obtained construction risk index cfx. The specific assessment scheme is as follows; When the construction risk index cfx ≥ the material moisture tolerance threshold A, it indicates that there is a risk, and the first prevention warning information is generated and transmitted to the user end of the project leader through the wireless network to remind the project leader to take preventive measures; When the construction risk index cfx is less than the material moisture tolerance threshold A, it means there is no risk. Keep monitoring and record the data to trigger an in-depth assessment.

[0011] Preferably, the material reduction analysis module is used to deeply analyze the long-term impact of humidity on structural stability when the initial assessment is risk-free, and monitor the change of air humidity H(t) in real time through the humidity sensor installed at the construction site. The humidity sensor periodically collects and uploads real-time data to form a humidity time series H(t i ), H(t i+1 ), ..., H(t i+n ), processed by graphical tools to form a curve of humidity changing with time, and then integrated the humidity curve using the numerical integration method, combined with the standard humidity value H0 of the material at normal temperature and humidity, calculated the cumulative effect of humidity on material strength, and obtained the long-term dynamic reduction factor ZJ(H, t); ; Where ZJ(H, t) represents the cumulative effect of humidity on material strength at time t, H(t) represents the humidity at time t, k represents the reduction coefficient of the effect of humidity exceeding the standard time on material strength per unit, and dt represents the small change in the time variable in the integral equation.

[0012] Preferably, the deep risk assessment module includes a deep risk analysis unit and a deep risk assessment unit; The deep risk analysis unit is used to take the obtained construction risk index cfx as the analysis basis, introduce the dynamic reduction factor ZJ(H, t) to correct the long-term risk of moisture to the material, and construct a deep risk assessment formula through the BIM system, import the construction risk index cfx and the reduction factor ZJ(H, t) into the deep risk assessment formula, and calculate and obtain the deep risk index SDF; The in-depth risk assessment formula is as follows; ; Where cfx(t) represents the construction risk index at time t, and SDF(t) represents the depth risk index at time t.

[0013] Preferably, the depth risk assessment unit is used to perform a depth assessment based on the acquired depth risk index SDF and the preset material moisture tolerance threshold A, and deeply assess the risk of the material structure being affected by moisture for a long time within the specified material replacement cycle. The specific assessment scheme is as follows; When the depth risk index SDF ≥ the material moisture tolerance threshold A, it means that there is a structural risk within the period. At this time, the second prevention warning information is generated and transmitted to the user end of the project leader through the wireless network, reminding the project leader to adjust the design of the construction structure and replace the building materials that match the current environment; When the depth risk index SDF is less than the material moisture tolerance threshold A, it means that there is no structural risk within the period, and monitoring should be continued and data should be recorded.

[0014] Preferably, the visual warning module includes a graphic construction unit and a user visualization unit; The graphics construction unit is used to collect and integrate the real-time material impact data set transmitted from the construction site sensors and the assessment data of the BIM system. Based on the building structure data of the BIM system, the rendering engine superimposes the risk information on the three-dimensional model, so that the identification of the risk area matches the actual construction structure, and assigns color codes according to the different risk values ​​of the assessment results, generates a risk heat map and renders it at the corresponding position of the three-dimensional model, marking the risk as red and the risk-free as green. The graphics renderer refreshes the data every 5 minutes, and when there is a major data change, when the rendering engine continuously monitors the input data changes in the background, it triggers the automatic update of the rendering result; The user visualization unit is used to receive the heat map and three-dimensional model generated by the renderer and transmit them to the user end via a wireless network. The risk areas are intuitively distinguished by colors and icons, and detailed risk index values ​​are marked. When the data is refreshed, there will be flashing prompts and pop-up reminders on the user interface.

[0015] The present invention provides an intelligent management system for interior decoration projects using BIM technology. It has the following beneficial effects: (1) The system monitors environmental data and material data in real time through on-site sensors and annotated data provided by material manufacturers. The data is transmitted to the data integration server via a wireless network. The system can process the data in a timely manner, obtain the material impact data set, and store the material impact data set in the non-relational database NoSQL to ensure that the impact of various environmental conditions on material performance is monitored in real time. During the interior decoration process, factors such as humidity and temperature have an important impact on the strength and stability of building materials. The system continuously tracks these factors through the construction of the material impact data set, and conducts real-time analysis in combination with the building structure data of the BIM model. This intelligent and real-time risk monitoring allows possible risks in the construction process to be identified and warned at the earliest stage, thereby reducing safety hazards caused by environmental changes.

[0016] (2) Through the data integration module, the system can accurately import the real-time data collected by the sensor into the three-dimensional model, and perform dynamic calculations through the BIM system to obtain the construction risk index cfx, and conduct construction risk assessment with the preset material moisture tolerance threshold A, providing construction personnel with a quantitative risk assessment tool. The system also has a deep risk assessment function. By combining the construction risk index cfx and the dynamic reduction factor ZJ(H, t), the deep risk index SDF is obtained by summary calculation, and a deep assessment is conducted with the preset material moisture tolerance threshold A to further analyze the risk of long-term moisture impact on the material. This analysis considers the time series changes of ambient humidity and evaluates its cumulative effect on material strength, thereby providing construction personnel with a more accurate construction risk warning, especially in the long-term construction process, to ensure that the long-term stability of the material is fully considered.

[0017] (3) The system's visual warning module further enhances the system's practicality and user experience. Through the graphic construction unit, the system can overlay the risk heat map in the BIM three-dimensional model and color-code it according to different risk values, with red indicating high-risk areas and green indicating risk-free areas. This intuitive display method enables project leaders to view the risk status of the construction site in real time and quickly determine which areas need special attention. When there is a risk, the system will automatically generate warning information and transmit it to the user end via a wireless network, reminding the project leader to take preventive measures in a timely manner. When the risk is refreshed, the user interface will also display flashing prompts and pop-up reminders to ensure the timeliness and effectiveness of information transmission. Through this function, managers can respond quickly to potential construction risks, effectively avoiding safety accidents and project delays caused by delayed responses, and greatly improving the management efficiency and safety of construction projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a flow chart of an intelligent management system for interior decoration projects using BIM technology according to the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Example 1 See also Figure 1 , the present invention provides an intelligent management system for indoor decoration projects using BIM technology. To achieve the above purpose, the present invention is implemented through the following technical solutions: including a field data acquisition module, a data processing module, a data integration module, a material reduction analysis module, a deep risk assessment module and a visual early warning module; The field data acquisition module is used to construct a data integration server and communicate with a sensor group installed at the construction site through a wireless network, monitor environmental data and material data in real time through the sensor group, and transmit the data to the data integration server; The data processing module is used to receive environmental data and material data, perform preprocessing to obtain a material impact data set, and then store the material impact data set in a non-relational database NoSQL; The data integration module is used to construct a three-dimensional model, import the material impact data set into the three-dimensional model, calculate through the BIM system, obtain the construction risk index cfx, and perform construction risk assessment with the preset material moisture tolerance threshold A; The material reduction analysis module is used to generate a humidity time series through the period collected by the humidity sensor when there is no risk in the preliminary assessment, and calculate the long-term dynamic reduction factor ZJ(H, t) in combination with the standard humidity value H0 of the material at normal temperature and humidity; The depth risk assessment module is used to perform summary calculation based on the obtained construction risk index cfx and the long-term dynamic reduction factor ZJ(H, t), obtain the depth risk index SDF, and perform depth assessment with the preset material moisture tolerance threshold A; The visual warning module is used to collect and integrate construction site sensor data and assessment data, generate a heat map, overlay risk information on the three-dimensional model, and after color marking, transmit it to the user end via a wireless network.

[0021] In this embodiment, the field data acquisition module monitors key environmental data and material data in real time through a sensor group installed at the construction site, and transmits the data to a data integration server through a wireless network. This method of real-time data transmission and automated collection greatly improves the monitoring accuracy of the construction site, avoids the drawbacks of traditional manual recording and delayed updating, and ensures the timeliness and accuracy of the data. The data processing module and the data integration module construct a material impact data set by processing and analyzing the collected environmental data and material data, and use the BIM system to generate a three-dimensional model for construction risk assessment. By calculating the construction risk index cfx and comparing it with the preset material moisture tolerance threshold A, the potential construction risks can be quantitatively assessed. This process avoids the shortcomings of relying on manual experience to judge risks in traditional methods, making risk assessment more scientific and accurate. In addition, the system considers the long-term impact of humidity on material strength through the material reduction analysis module, and performs a long-term dynamic analysis of the impact of humidity on the material through the calculation of the dynamic reduction factor ZJ (H, t), thereby providing a more comprehensive assessment basis for construction risks. The deep risk assessment module and the visual early warning module have significant advantages in improving construction safety and management efficiency. The in-depth risk assessment module further evaluates the risk of materials over a long period of time by combining the construction risk index cfx and the reduction factor ZJ(H,t), and visualizes the risk information in the three-dimensional model through the BIM system. The visual early warning module generates a risk heat map based on the assessment results, intuitively displays the risk status of different areas through color markings, and transmits it to the project management end in real time through a wireless network. Compared with traditional static assessments and manual judgments, this system based on real-time data and intelligent analysis greatly improves the timeliness and accuracy of risk warnings, allowing project leaders to take preventive measures in a timely manner, reduce safety accidents and material losses, and improve the overall safety and construction quality of the project.

[0022] Example 2 This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the field data acquisition module includes a data acquisition unit and a data transmission unit; The data acquisition unit monitors the environmental data and material data in real time through the sensor group installed at the construction site, sets the acquisition frequency of the sensor group to every 5 minutes and builds a data integration server, and establishes a communication connection with the sensor group through a wireless network; The sensor group includes a humidity sensor, a temperature sensor and a load stress sensor; The changes of indoor air humidity H(t) are monitored in real time through humidity sensors installed at the construction site; The changes of the load stress hz(t) of the installed materials are monitored in real time by means of load stress sensors installed at the construction site; The data transmission unit transmits the environmental data and material data collected by the sensor group to the BIM system every 5 minutes through a wireless network, and annotates the environmental data and material data with timestamps, sensor locations, sensor identifiers, and data types.

[0023] In this embodiment, the installation of humidity sensors, temperature sensors and load stress sensors enables the system to accurately monitor changes in air humidity, indoor temperature and material load stress, providing accurate real-time data for subsequent risk assessment. In addition, by marking the collected data with timestamps, sensor locations and identifiers, and transmitting them to the BIM system every five minutes via a wireless network, the real-time and effectiveness of the data are ensured. The high frequency, accuracy and real-time nature of this data collection and transmission greatly enhance the monitoring capabilities of the construction site, providing a solid data foundation for subsequent data analysis, risk assessment and early warning, avoiding the lag and errors of traditional manual records, and enhancing the intelligence and refinement of construction management.

[0024] Example 3 This embodiment is explained in Example 2. Please refer to Figure 1 ,Specifically: the data processing module includes a data processing unit and a data storage unit; The data processing unit receives the environmental data and material data in real time through the BIM system, and performs data verification, denoising, outlier processing and dimensionless processing on the environmental data and material data to obtain a material impact data set; The real-time data collected periodically by the temperature sensor forms an indoor temperature time series T(t i ), T(t i+1 ), ..., T(t i+n ), and then obtain the temperature gradient ∆T through differential calculation. The specific algorithm formula is: ; The material impact data set includes indoor air humidity H(t), indoor temperature gradient ∆T, real-time load stress hz(t), maximum stress hz max and the material water content peak H lim ; The data storage unit is used to construct a non-relational database NoSQL, and the material impact data set is stored in the non-relational database NoSQL through a local area network to manage and store the material impact data set. The non-relational database NoSQL includes a real-time data table and a historical data table. The material impact data set acquired in real time is stored in the real-time data table, and the upper group of data in the real-time data table is automatically transferred to the historical data table for long-term storage.

[0025] In this embodiment, the data processing module significantly improves the accuracy and availability of the material impact data set through efficient real-time data reception and processing procedures. The data processing unit first verifies, denoises, processes outliers and normalizes the format of the environmental data and material data, ensuring the integrity and consistency of the data during transmission, and effectively avoiding erroneous analysis and decision-making caused by data quality problems. In particular, through the periodic collection of temperature gradient calculation and humidity changes, it is possible to capture small changes in the construction environment that may affect the stability of the material in a timely manner. At the same time, the system stores the material impact data set in a non-relational database NoSQL for efficient management and query. By storing real-time data in a real-time data table and automatically transferring expired data to a historical data table, the system ensures long-term tracking and historical backtracking capabilities of the data. This data processing and storage method enables the system to quickly respond to real-time changes at the construction site, while retaining historical data for trend analysis, providing a more accurate basis for subsequent risk assessment and decision-making, and improving the stability, scalability and intelligence level of the system.

[0026] Example 4 This embodiment is explained in Example 3, please refer to Figure 1 ,Specifically: the data integration module includes a data integration unit and a risk analysis unit; The data integration unit constructs a BIM system through a data integration server. The BIM system extracts a material impact data set in a real-time data table through a local area network, and then creates a new project and selects an interior design project template through the BIM system. The import CAD function is used to import the existing two-dimensional CAD drawings into the working environment of the BIM system, and the reference point and elevation of the project are defined. Based on the imported drawings, the BIM system is used to create room partition walls, and the wall thickness and height are adjusted through the property panel. Customized components, custom sizes and material properties are selected according to design requirements to build a three-dimensional model of the construction site layout. The BIM system extracts the material impact data set from the real-time data table, and synchronously imports it to the same position in the 3D model based on the sensor location information, material installation location information, annotation timestamp, sensor identification and data type arranged on the ground. When specifying properties for indoor components in the BIM system, material properties are entered through the material editor and plug-in extensions to truly simulate the construction site layout and the material properties used.

[0027] The risk analysis unit includes a construction risk analysis unit and a construction risk assessment unit; The construction risk analysis unit analyzes the influence of indoor air humidity H(t) on the structural strength of materials based on the constructed three-dimensional model through the BIM system, and analyzes the reduction factor β(H) of humidity on structural strength in combination with the standard humidity value H0 of the material at normal temperature and humidity. , w represents the correction constant, and then combined with the material impact data set for comprehensive calculation to obtain the construction risk index cfx; The construction risk index cfx is calculated by the following formula: ; In the formula, α represents the hygroscopicity coefficient of the material, which is a dimensionless value obtained from material testing. represents the temperature influence factor, H(t) represents the air humidity at time t, hz(t) represents the real-time load stress of the material at time t, and H lim Indicates the peak water content of the material, hz max Indicates the maximum stress, the maximum stress hz max and the material water content peak H lim Initial input by the user based on material criteria.

[0028] The construction risk assessment unit extracts the historical material impact data set from the historical data table and imports it into the BIM system. The BIM system uses statistical methods to analyze the influence of temperature, humidity and load stress on the long-term stability of material structure, and forms a basic data set, identifies the mean of fluctuations, presets the material moisture tolerance threshold A, and performs construction risk assessment with the obtained construction risk index cfx. The specific assessment plan is as follows; When the construction risk index cfx ≥ the material moisture tolerance threshold A, it indicates that there is a risk, and the first prevention warning information is generated and transmitted to the user end of the project leader through the wireless network to remind the project leader to take preventive measures; When the construction risk index cfx is less than the material moisture tolerance threshold A, it means there is no risk. Keep monitoring and record the data to trigger an in-depth assessment.

[0029] In this embodiment, the data integration module accurately creates a three-dimensional model through the BIM system, and accurately connects the data collected in real time by the on-site sensors with the components in the model, ensuring that the environmental changes at the construction site can be updated synchronously with the design model, providing a dynamic real-time monitoring platform. The risk analysis unit accurately evaluates the potential structural risks in the construction process by integrating multiple factors such as air humidity, temperature and load stress, combined with the physical properties of the material, and conducts quantitative analysis through the construction risk index cfx, avoiding the blindness and errors of traditional reliance on manual judgment. In addition, the system automatically generates risk warning and prevention information through statistical analysis of historical data, combined with the preset material moisture tolerance threshold A, to ensure the timely identification and prevention of risks during the construction process, thereby greatly reducing the probability of accidents. This intelligent and data-driven risk management model not only improves construction safety, but also provides scientific, real-time and accurate decision-making basis for project managers, and optimizes various processes of construction management.

[0030] Example 5 This embodiment is explained in Example 4. Please refer to Figure 1 Specifically: The material reduction analysis module is used to deeply analyze the long-term impact of humidity on structural stability when the initial assessment is risk-free. The humidity sensor installed at the construction site monitors the change of air humidity H(t) in real time. The humidity sensor periodically collects and uploads real-time data to form a humidity time series H(t i ), H(t i+1 ), ..., H(t i+n ), processed by graphical tools to form a curve of humidity changing with time, and then integrated the humidity curve using the numerical integration method, combined with the standard humidity value H0 of the material at normal temperature and humidity, calculated the cumulative effect of humidity on material strength, and obtained the long-term dynamic reduction factor ZJ(H, t); ; Where ZJ(H, t) represents the cumulative effect of humidity on material strength at time t, H(t) represents the humidity at time t, k represents the reduction coefficient of the effect of humidity exceeding the standard time on material strength per unit, and dt represents the small change in the time variable in the integral equation.

[0031] In this embodiment, the material reduction analysis module significantly improves the accuracy and foresight of the construction site risk assessment through an in-depth analysis of the long-term impact of humidity on structural stability. Through real-time data acquisition and time series analysis of the humidity sensor, combined with the numerical integration method to process the humidity change curve, the system can comprehensively evaluate the cumulative effect of humidity on material strength and calculate the long-term dynamic reduction factor ZJ (H, t). Not only does it take into account the real-time humidity changes, but it can also quantify the gradual impact of excessive humidity on material strength, providing a more accurate prediction of material stability. Compared with the traditional single evaluation method, the dynamic analysis of this module can more truly reflect the performance changes of materials in complex environments, identify potential risks in advance, and avoid structural damage or safety hazards caused by humidity changes that are not monitored in time. The application of this technology effectively improves the material management and risk control capabilities during the construction process, ensures construction quality and engineering safety, and has obvious advantages, especially in the prediction of the impact of long-term humidity fluctuations on materials.

[0032] Example 6 This embodiment is explained in Example 5. Please refer to Figure 1 ,Specifically: the deep risk assessment module includes a deep risk analysis unit and a deep risk assessment unit; The deep risk analysis unit is used to take the obtained construction risk index cfx as the analysis basis, introduce the dynamic reduction factor ZJ(H, t) to correct the long-term risk of moisture to the material, and construct a deep risk assessment formula through the BIM system, import the construction risk index cfx and the reduction factor ZJ(H, t) into the deep risk assessment formula, and calculate and obtain the deep risk index SDF; The in-depth risk assessment formula is as follows; ; Where cfx(t) represents the construction risk index at time t, and SDF(t) represents the depth risk index at time t.

[0033] The depth risk assessment unit is used to perform a depth assessment based on the acquired depth risk index SDF and the preset material moisture tolerance threshold A, and deeply assess the risk of the material structure being affected by moisture for a long time within the specified material replacement cycle. The specific assessment scheme is as follows; When the depth risk index SDF ≥ the material moisture tolerance threshold A, it means that there is a structural risk within the period. At this time, the second prevention warning information is generated and transmitted to the user end of the project leader through the wireless network, reminding the project leader to adjust the design of the construction structure and replace the building materials that match the current environment; When the depth risk index SDF is less than the material moisture tolerance threshold A, it means that there is no structural risk within the period, and monitoring should be continued and data should be recorded.

[0034] In this embodiment, the deep risk analysis unit corrects the long-term risk of the material according to the construction risk index cfx and the dynamic reduction factor ZJ(H,t), so that the evaluation result not only reflects the immediate risk level, but also comprehensively considers the continuous impact of humidity fluctuations on the strength of the material. The deep risk assessment formula constructed by the BIM system can quantify the specific deep risk index SDF, providing a scientific basis for material selection, design adjustment and risk prevention during the construction process. In addition, the system combines the deep risk index SDF with the preset material moisture tolerance threshold A for evaluation to ensure that potential risks are discovered in time during the material use cycle. When the deep risk index SDF exceeds the material moisture tolerance threshold A, the system automatically generates an early warning to remind the project leader to make structural adjustments or replace materials to avoid structural damage and safety hazards caused by excessive humidity. This intelligent and dynamic evaluation and early warning mechanism greatly improves the safety and efficiency of construction, reduces losses caused by failure to identify risks in a timely manner, and improves the scientific nature of project management and the ability to respond to sudden risks.

[0035] Example 7 This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the visual warning module includes a graphic construction unit and a user ,visualization unit; The graphics construction unit is used to collect and integrate the real-time material impact data set transmitted from the construction site sensors and the assessment data of the BIM system. Based on the building structure data of the BIM system, the rendering engine superimposes the risk information on the three-dimensional model, so that the identification of the risk area matches the actual construction structure, and assigns color codes according to the different risk values ​​of the assessment results, generates a risk heat map and renders it at the corresponding position of the three-dimensional model, marking the risk as red and the risk-free as green. The graphics renderer refreshes the data every 5 minutes, and when there is a major data change, when the rendering engine continuously monitors the input data changes in the background, it triggers the automatic update of the rendering result; The user visualization unit is used to receive the heat map and three-dimensional model generated by the renderer and transmit them to the user end via a wireless network. The risk areas are intuitively distinguished by colors and icons, and detailed risk index values ​​are marked. When the data is refreshed, there will be flashing prompts and pop-up reminders on the user interface.

[0036] In this embodiment, the visual warning module realizes efficient, intuitive and dynamic risk management of the construction site through the close cooperation of the graphic construction unit and the user visualization unit. In the graphic construction unit, based on the three-dimensional model of the BIM system, after the real-time transmitted material impact data set and assessment data are integrated, the rendering engine accurately superimposes the risk information on the model, assigns color codes according to the risk assessment results, generates a real-time updated risk heat map, and intuitively identifies the risk area of ​​the construction site. Through data refresh every 5 minutes and automatic update when major data changes, the system ensures the timeliness and accuracy of risk information. The user visualization unit transmits these real-time risk heat maps and three-dimensional models to the user end, and the user can intuitively distinguish risk areas by color and icons, and view detailed risk indexes. When the data is refreshed, the flashing prompts and pop-up reminders on the interface ensure the immediate transmission and processing of risk information, significantly improving the response speed and decision-making efficiency of construction management personnel to on-site risks, thereby improving the level of engineering safety and management intelligence.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent management system for interior decoration projects using BIM technology, characterized by: It includes on-site data acquisition module, data processing module, data integration module, material reduction analysis module, in-depth risk assessment module and visual early warning module; The field data acquisition module is used to construct a data integration server and communicate with a sensor group installed at the construction site through a wireless network, monitor environmental data and material data in real time through the sensor group, and transmit the data to the data integration server; The data processing module is used to receive environmental data and material data, perform preprocessing to obtain a material impact data set, and then store the material impact data set in a non-relational database NoSQL; The data integration module is used to construct a three-dimensional model, import the material impact data set into the three-dimensional model, calculate through the BIM system, obtain the construction risk index cfx, and perform construction risk assessment with the preset material moisture tolerance threshold A; The material reduction analysis module is used to generate a humidity time series through the period collected by the humidity sensor when there is no risk in the preliminary assessment, and calculate the long-term dynamic reduction factor ZJ(H, t) in combination with the standard humidity value H0 of the material at normal temperature and humidity; The depth risk assessment module is used to perform summary calculation based on the obtained construction risk index cfx and the long-term dynamic reduction factor ZJ(H, t), obtain the depth risk index SDF, and perform depth assessment with the preset material moisture tolerance threshold A; The visual warning module is used to collect and integrate construction site sensor data and assessment data, generate a heat map, overlay risk information on the three-dimensional model, and after color marking, transmit it to the user end via a wireless network.

2. According to claim 1, a smart management system for interior decoration projects using BIM technology is characterized by: The field data acquisition module includes a data acquisition unit and a data transmission unit; The data acquisition unit monitors the environmental data and material data in real time through a sensor group installed at the construction site, and the acquisition frequency of the sensor group is set to 5 minutes each time; The sensor group includes a humidity sensor, a temperature sensor and a load stress sensor; The changes of indoor air humidity H(t) are monitored in real time through humidity sensors installed at the construction site; The changes of the load stress hz(t) of the installed materials are monitored in real time by means of load stress sensors installed at the construction site; The data transmission unit constructs a data integration server and sets up a wireless network to wirelessly connect the data integration server with the sensor group, transmits the collected environmental data and material data to the data integration server, and annotates the environmental data and material data with time stamps.

3. According to claim 2, a smart management system for interior decoration projects using BIM technology is characterized by: The data processing module includes a data processing unit and a data storage unit; The data processing unit receives the environmental data and material data in real time through the data integration server, and performs data verification, denoising, outlier processing and dimensionless processing on the environmental data and material data to obtain a material impact data set; The real-time data collected periodically by the temperature sensor forms an indoor temperature time series T(t i ), T(t i+1 ), ..., T(t i+n ), and then obtain the temperature gradient ∆T through differential calculation. The specific algorithm formula is: ； The material impact data set includes indoor air humidity H(t), indoor temperature gradient ∆T, real-time load stress hz(t), maximum stress hz max and the material water content peak H lim ; The data storage unit is used to construct a non-relational database NoSQL, and the material impact data set is stored in the non-relational database NoSQL through a local area network to manage and store the material impact data set. The non-relational database NoSQL includes a real-time data table and a historical data table. The material impact data set acquired in real time is stored in the real-time data table, and the upper group of data in the real-time data table is automatically transferred to the historical data table for long-term storage.

4. According to claim 3, the intelligent management system for interior decoration projects using BIM technology is characterized by: The data integration module includes a data integration unit and a risk analysis unit; The data integration unit constructs a BIM system through a data integration server. The BIM system extracts a material impact data set in a real-time data table through a local area network, and then creates a new project and selects an interior design project template through the BIM system. The import CAD function is used to import the existing two-dimensional CAD drawings into the working environment of the BIM system, and the reference point and elevation of the project are defined. Based on the imported drawings, the BIM system is used to create room partition walls, and the wall thickness and height are adjusted through the property panel. Customized components, custom sizes and material properties are selected according to design requirements to build a three-dimensional model of the construction site layout. The BIM system extracts the material impact data set from the real-time data table, and synchronously imports it to the same position in the 3D model based on the sensor location information, material installation location information, annotation timestamp, sensor identification and data type arranged on the ground. When specifying properties for indoor components in the BIM system, material properties are entered through the material editor and plug-in extensions to truly simulate the construction site layout and the material properties used.

5. According to claim 4, a smart management system for interior decoration projects using BIM technology is characterized by: The risk analysis unit includes a construction risk analysis unit and a construction risk assessment unit; The construction risk analysis unit analyzes the influence of indoor air humidity H(t) on the structural strength of materials based on the constructed three-dimensional model through the BIM system, and analyzes the reduction factor β(H) of humidity on structural strength in combination with the standard humidity value H0 of the material at normal temperature and humidity. , w represents the correction constant, and then combined with the material impact data set for comprehensive calculation to obtain the construction risk index cfx; The construction risk index cfx is calculated by the following formula: ； In the formula, α represents the hygroscopicity coefficient of the material, which is a dimensionless value obtained from material testing. represents the temperature influence factor, H(t) represents the air humidity at time t, hz(t) represents the real-time load stress of the material at time t, and H lim Indicates the peak water content of the material, hz max Indicates the maximum stress, the maximum stress hz max and the material water content peak H lim Initial input by the user based on material criteria.

6. According to claim 5, a smart management system for interior decoration projects using BIM technology is characterized by: The construction risk assessment unit extracts the historical material impact data set from the historical data table and imports it into the BIM system. The BIM system uses statistical methods to analyze the influence of temperature, humidity and load stress on the long-term stability of material structure, and forms a basic data set, identifies the mean of fluctuations, presets the material moisture tolerance threshold A, and performs construction risk assessment with the obtained construction risk index cfx. The specific assessment plan is as follows; When the construction risk index cfx ≥ the material moisture tolerance threshold A, it indicates that there is a risk, and the first prevention warning information is generated and transmitted to the user end of the project leader through the wireless network to remind the project leader to take preventive measures; When the construction risk index cfx is less than the material moisture tolerance threshold A, it means there is no risk. Keep monitoring and record the data to trigger an in-depth assessment.

7. According to claim 6, a smart management system for interior decoration projects using BIM technology is characterized by: The material reduction analysis module is used to deeply analyze the long-term impact of humidity on structural stability when there is no risk in the initial assessment. The humidity sensor installed at the construction site monitors the change of air humidity H(t) in real time. The humidity sensor periodically collects and uploads real-time data to form a humidity time series H(t i ), H(t i+1 ), ..., H(t i+n ), processed by graphical tools to form a curve of humidity changing with time, and then integrated the humidity curve using the numerical integration method, combined with the standard humidity value H0 of the material at normal temperature and humidity, calculated the cumulative effect of humidity on material strength, and obtained the long-term dynamic reduction factor ZJ(H, t); ； Where ZJ(H, t) represents the cumulative effect of humidity on material strength at time t, H(t) represents the humidity at time t, k represents the reduction coefficient of the effect of humidity exceeding the standard time on material strength per unit, and dt represents the small change in the time variable in the integral equation.

8. According to claim 7, a smart management system for interior decoration projects using BIM technology is characterized by: The deep risk assessment module includes a deep risk analysis unit and a deep risk assessment unit; The deep risk analysis unit is used to take the obtained construction risk index cfx as the analysis basis, introduce the dynamic reduction factor ZJ(H, t) to correct the long-term risk of moisture to the material, and construct a deep risk assessment formula through the BIM system, import the construction risk index cfx and the reduction factor ZJ(H, t) into the deep risk assessment formula, and calculate and obtain the deep risk index SDF; The in-depth risk assessment formula is as follows; ； Where cfx(t) represents the construction risk index at time t, and SDF(t) represents the depth risk index at time t.

9. According to claim 8, a smart management system for interior decoration projects using BIM technology is characterized by: The depth risk assessment unit is used to perform a depth assessment based on the acquired depth risk index SDF and the preset material moisture tolerance threshold A, and deeply assess the risk of the material structure being affected by moisture for a long time within the specified material replacement cycle. The specific assessment scheme is as follows; When the depth risk index SDF ≥ the material moisture tolerance threshold A, it means that there is a structural risk within the period. At this time, the second prevention warning information is generated and transmitted to the user end of the project leader through the wireless network, reminding the project leader to adjust the design of the construction structure and replace the building materials that match the current environment; When the depth risk index SDF is less than the material moisture tolerance threshold A, it means that there is no structural risk within the period, and monitoring should be continued and data should be recorded.

10. According to claim 1, the intelligent management system for interior decoration projects using BIM technology is characterized by: The visual warning module includes a graphic construction unit and a user visualization unit; The graphics construction unit is used to collect and integrate the real-time material impact data set transmitted from the construction site sensors and the assessment data of the BIM system. Based on the building structure data of the BIM system, the rendering engine superimposes the risk information on the three-dimensional model, so that the identification of the risk area matches the actual construction structure, and assigns color codes according to the different risk values ​​of the assessment results, generates a risk heat map and renders it at the corresponding position of the three-dimensional model, marking the risk as red and the risk-free as green. The graphics renderer refreshes the data every 5 minutes, and when there is a major data change, when the rendering engine continuously monitors the input data changes in the background, it triggers the automatic update of the rendering result; The user visualization unit is used to receive the heat map and three-dimensional model generated by the renderer and transmit them to the user end via a wireless network. The risk areas are intuitively distinguished by colors and icons, and detailed risk index values ​​are marked. When the data is refreshed, there will be flashing prompts and pop-up reminders on the user interface.

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