An intelligent management system for interior decoration projects applying BIM technology

Abstract

The present invention discloses a smart management system for indoor decoration projects applying BIM technology, which relates to the field of intelligent building management technology. The system, through a sensor group installed at the construction site, monitors environmental data and material data in real time. The system transmits the data to a data integration server for processing and generates a material impact data set. Based on a three-dimensional model constructed by the BIM system, the system calculates the construction risk index cfx and conducts a preliminary risk assessment with the material moisture tolerance threshold A. When there is no risk in the preliminary assessment, it calculates the in-depth risk index SDF and conducts an in-depth risk assessment with the material moisture tolerance threshold A. The assessment results are generated into a risk heat map through graphic rendering and superimposed on the three-dimensional model, and the risk areas are intuitively identified through color coding. The system will update the rendering results in real time and transmit them to the user side through a wireless network, providing risk indices and detailed warning information to assist the project leader in taking preventive measures in a timely manner.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent building management, and specifically to a smart management system for interior decoration projects applying BIM technology. Background Art

[0002] With the continuous advancement of the urbanization process, the construction industry has gradually become one of the important pillars of the 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 various considerations such as environmental protection, energy conservation, and health. However, with the rapid development of the construction industry, the traditional decoration management methods have gradually revealed their deficiencies, especially in the identification and response to 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 cities located in tropical, subtropical, and coastal areas, where high-humidity environments frequently occur, posing a severe challenge to the stability of decoration materials and the long-term use safety of building structures.

[0003] The existing management of interior decoration projects usually relies on manual inspections and regular evaluations, lacking real-time monitoring and comprehensive analysis means. Especially in cities with high-humidity environments along the coast of our country, where the climate humidity fluctuates greatly, it brings greater challenges to the long-term stability of decoration materials, and there are deficiencies in the assessment of the impact of humidity on materials. Traditional methods usually fail to accurately capture the dynamic changes of humidity, resulting in a lag in the early warning of the risk of material moisture absorption. The impact of indoor humidity on materials is often underestimated, especially in cities with high-humidity environments, where the risk of material moisture absorption increases due to the long-term maintenance of high air humidity. The fluctuations of humidity may be more intense in different seasons and weather conditions. Without real-time data collection and processing, traditional risk assessment methods are not easy to timely identify the impact of humidity changes on structural strength, resulting in potential safety hazards not being effectively warned. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a smart management system for interior decoration projects applying BIM technology, which solves the problems in the above background art.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A smart management system for interior decoration projects applying BIM technology includes a field data collection module, a data processing module, a data integration module, a material reduction analysis module, a depth risk assessment module, and a visualization warning module;

[0006] The field data collection module is used to construct a data integration server, and communicate with a sensor group installed at the construction site through a wireless network, and real-time monitor environmental data and material data through the sensor group, and transmit them to the data integration server;

[0007] The data processing module is used to receive environmental data and material data, perform preprocessing to obtain a material impact dataset, and then store the material impact dataset in a non-relational database NoSQL;

[0008] The data integration module is used to construct a three-dimensional model. After importing the material impact dataset into the three-dimensional model, it performs calculations through the BIM system to obtain a construction risk index cfx, and conducts a construction risk assessment with a preset material moisture tolerance threshold A;

[0009] When the preliminary assessment shows no risk, the material reduction analysis module generates a humidity time series based on the period collected by the humidity sensor, and combines it with the standard humidity value H0 of the material under normal temperature and humidity to calculate and obtain a long-term dynamic reduction factor ZJ(H, t);

[0010] The in-depth risk assessment module is used to perform summary calculations based on the obtained construction risk index cfx and long-term dynamic reduction factor ZJ(H, t) to obtain an in-depth risk index SDF, compare it with the preset material moisture tolerance threshold A, and conduct an in-depth assessment based on the comparison result;

[0011] The visualization warning module is used to collect and integrate construction site sensor data and assessment data, generate a heat map to overlay risk information on the three-dimensional model, and after color marking, transmit it to the user terminal through a wireless network.

[0012] Preferably, the on-site data collection module includes a data collection unit and a data transmission unit;

[0013] The data collection unit monitors environmental data and material data in real time through a sensor group installed at the construction site, sets the collection frequency of the sensor group to once every 5 minutes, constructs a data integration server, and establishes a communication connection with the sensor group through a wireless network;

[0014] The sensor group includes a humidity sensor, a temperature sensor, and a load stress sensor;

[0015] The change of indoor air humidity H(t) is monitored in real time through a humidity sensor installed at the construction site;

[0016] The change of the load stress hz(t) of the installed materials is monitored in real time through a load stress sensor installed at the construction site;

[0017] The data transmission unit constructs a data integration server, 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 marks time stamps for the environmental data and material data.

[0018] Preferably, the data processing module includes a data processing unit and a data storage unit;

[0019] The data processing unit receives 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 dataset;

[0020] 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 the temperature gradient is obtained through differential calculation T, and the specific algorithm formula is: ;

[0021] The material impact dataset includes indoor air humidity H(t), indoor temperature gradient T, real-time load stress hz(t), maximum bearing stress hz max and the peak water content of the material H lim ;

[0022] The data storage unit is used to build a non-relational database NoSQL, and stores the material impact dataset in the non-relational database NoSQL through the local area network for management and storage of the material impact dataset. The non-relational database NoSQL includes a real-time data table and a historical data table. The material impact dataset obtained 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.

[0023] Preferably, the data integration module includes a data integration unit and a risk analysis unit;

[0024] The data integration unit builds a BIM system through a data integration server. The BIM system extracts the material impact dataset in the real-time data table through the local area network, and then creates a new project through the BIM system, selects an indoor design project template, uses the import CAD function to import the existing two-dimensional CAD drawings into the working environment of the BIM system, and defines the reference point and elevation of the project. On the basis of the imported drawings, the BIM system is used to create room partitions, and the wall thickness and height are adjusted through the property panel. According to the design requirements, custom components, custom sizes, and material properties are selected to build a three-dimensional model of the construction site layout;

[0025] The BIM system extracts the material impact data set from the real-time data table and synchronously imports it to the same location in the 3D model according to the sensor location information, material installation location information, marked time stamps, sensor identification, and data type arranged on-site. When specifying attributes for indoor components in the BIM system, the material attributes are input through the material editor and plug-in extension to truly simulate the construction site layout and the material attributes used.

[0026] Preferably, the risk analysis unit includes a construction risk analysis unit and a construction risk assessment unit;

[0027] Based on the constructed 3D model, the construction risk analysis unit analyzes the impact of indoor air humidity H(t) on the material structural strength through the BIM system, and combines it with the standard humidity value H0 of the material under normal temperature and humidity to analyze the reduction factor β(H) of humidity on the structural strength. , where w represents a correction constant, and then combines it with the material impact data set for comprehensive calculation to obtain the construction risk index cfx;

[0028] The construction risk index cfx is obtained through the following formula;

[0029] ;

[0030] In the formula, α represents the hygroscopic coefficient of the material, which is a dimensionless value obtained from material tests. 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, H lim represents the peak water content of the material, hz max represents the maximum bearing stress, and the maximum bearing stress hz max and the peak water content H of the material lim are initially input by the user based on the material standard.

[0031] 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 analyzes the laws of the influence of temperature, humidity, and load stress on the long-term stability of the material structure by using statistical methods and forms a basic data set, identifies the fluctuating mean value, sets a preset material moisture tolerance threshold A, and compares it with the obtained construction risk index cfx, and then conducts construction risk assessment based on the comparison results. The specific assessment plan is as follows;

[0032] When the construction risk index cfx ≥ the material moisture tolerance threshold A, it indicates that there is a risk, generates a first prevention warning message, and transmits it to the user terminal of the project leader through the wireless network to remind the project leader to take preventive measures;

[0033] When the construction risk index cfx < the material moisture tolerance threshold A, it indicates no risk. Keep monitoring and recording data, and trigger a depth assessment.

[0034] Preferably, when the preliminary assessment shows no risk, the material reduction analysis module is used to continuously monitor the change of air humidity H(t) in real time through the humidity sensor installed at the construction site. The humidity sensor forms a humidity time series H(t i ) by periodically collecting and uploading real-time data, H(t i+1 ),..., H(t i+n ). After being processed by a graphical tool, a curve of humidity changing with time is formed. Then, the numerical integration method is used to integrate the humidity curve, and combined with the standard humidity value H0 of the material under normal temperature and humidity, the cumulative effect of humidity on the material strength is calculated to obtain the long-term dynamic reduction factor ZJ(H, t).

[0035] ;

[0036] In the formula, ZJ(H, t) represents the cumulative effect of humidity on the material strength at time t, H(t) represents the humidity at time t, k represents the reduction coefficient of the influence of each unit of humidity exceeding the standard time on the material strength, and dt represents the infinitesimal change of the time variable in the integral equation.

[0037] Preferably, the depth risk assessment module includes a depth risk analysis unit and a depth risk assessment unit;

[0038] The depth 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 on the material, and construct a depth risk assessment formula through the BIM system. The construction risk index cfx and the reduction factor ZJ(H, t) are imported into the depth risk assessment formula to calculate and obtain the depth risk index SDF;

[0039] The depth risk assessment formula is as follows;

[0040] ;

[0041] In the formula, cfx(t) represents the construction risk index at time t, and SDF(t) represents the depth risk index at time t.

[0042] Preferably, the depth risk assessment unit is used to compare the obtained depth risk index SDF with the preset material moisture tolerance threshold A, and conduct a depth assessment based on the comparison result. The depth assessment is of the risk of the long-term influence of moisture on the material structure within the specified replacement cycle of the material. The specific assessment plan is as follows;

[0043] When the depth risk index SDF ≥ the material moisture tolerance threshold A, it indicates that there is a structural risk within the cycle. At this time, a second preventive warning message is generated and transmitted to the user terminal 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.

[0044] When the depth risk index SDF < the material moisture tolerance threshold A, it indicates that there is no structural risk within the cycle, and the monitoring is maintained and the data is recorded.

[0045] Preferably, the visual warning module includes a graphic construction unit and a user visualization unit;

[0046] The graphic construction unit is used to collect and integrate the real-time material impact data set transmitted from the construction site sensors and the evaluation data of the BIM system. Based on the building structure data of the BIM system, the rendering engine superimposes risk information on the three-dimensional model, making the identification of the risk area match the actual construction structure. According to the different risk values of the evaluation results, color coding is assigned, a risk heat map is generated and rendered at the corresponding position of the three-dimensional model. The areas with risks are marked in red, and the areas without risks are marked in green. The graphic renderer refreshes the data every 5 minutes. When the rendering engine continuously monitors changes in the input data in the background, it triggers an automatic update of the rendering result;

[0047] 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 terminal through the wireless network. The risk areas are visually distinguished by colors and icons, and the detailed risk index values are marked. When the data is refreshed, there will be a flashing prompt and a pop-up reminder on the user interface.

[0048] The present invention provides an intelligent management system for interior decoration projects applying BIM technology. It has the following beneficial effects:

[0049] (1) Through the marked data provided by on-site sensors and material manufacturers, this system can monitor environmental data and material data in real time. These data are transmitted to the data integration server through the wireless network, and the system can process the data in a timely manner to 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 the 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. Through the construction of the material impact data set, this system continuously tracks these factors and conducts real-time analysis in combination with the building structure data of the BIM model. This intelligent and real-time risk monitoring enables potential risks during the construction process to be identified and warned at the earliest stage, thus reducing potential safety hazards caused by environmental changes.

[0050] (2) Through the data integration module, the system can accurately import the real-time data collected by sensors into the 3D model, perform dynamic calculations through the BIM system, obtain the construction risk index cfx, and conduct construction risk assessment by comparing it with the preset moisture tolerance threshold A of the material, providing a quantitative risk assessment tool for construction personnel. 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 through summary calculation, and it is compared with the preset moisture tolerance threshold A of the material. According to the comparison results, a deep assessment is carried out to further analyze the risk of the material being affected by moisture in the long term. This analysis evaluates the cumulative effect of environmental humidity on material strength by considering the time-series change of environmental humidity, so as to provide more accurate construction risk warnings for construction personnel, especially in the long-term construction process, ensuring that the long-term stability of the material is fully considered.

[0051] (3) The visualization warning module of the system further improves the practicability and user experience of the system. Through the graphic construction unit, the system can overlay a risk heat map in the BIM 3D model, and perform color coding according to different risk values. Red represents high-risk areas, and green represents risk-free areas. This intuitive display method enables project leaders to view the risk status of the construction site in real time and quickly judge which areas need to be focused on. When there is a risk, the system will automatically generate a warning message and transmit it to the user terminal through the wireless network to remind the project leader to take preventive measures in a timely manner. When the risk is refreshed, the user interface will also display a flashing prompt and a pop-up window reminder to ensure the timeliness and effectiveness of information transmission. Through this function, managers can quickly respond to potential construction risks, effectively avoiding safety accidents and project delays caused by delayed response, and greatly improving the management efficiency and safety of construction projects. Brief Description of the Drawings

[0052] Figure 1 It is a schematic flow chart of an intelligent management system for interior decoration projects applying BIM technology according to the present invention. Detailed Embodiments

[0053] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0054] Embodiment 1

[0055] Please refer to Figure 1, the present invention provides an intelligent management system for indoor decoration projects applying BIM technology. To achieve the above objectives, the present invention is realized through the following technical solutions: including a field data collection module, a data processing module, a data integration module, a material reduction analysis module, a depth risk assessment module, and a visualization warning module;

[0056] The field data collection module is used to construct a data integration server and communicate with a sensor group installed at the construction site through a wireless network. The sensor group is used to monitor environmental data and material data in real time and transmit them to the data integration server;

[0057] 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;

[0058] The data integration module is used to construct a three-dimensional model. After importing the material impact data set into the three-dimensional model, it is calculated through the BIM system to obtain a construction risk index cfx, and a construction risk assessment is carried out with a preset material moisture tolerance threshold A;

[0059] When the preliminary assessment shows no risk, the material reduction analysis module is used to generate a humidity time series based on the cycle collected by the humidity sensor, and combine it with the standard humidity value H0 of the material under normal temperature and humidity to calculate and obtain a long-term dynamic reduction factor ZJ(H, t);

[0060] The depth risk assessment module is used to perform a summary calculation based on the obtained construction risk index cfx and the long-term dynamic reduction factor ZJ(H, t) to obtain a depth risk index SDF, compare it with the preset material moisture tolerance threshold A, and perform a depth assessment based on the comparison result;

[0061] The visualization warning module is used to collect and integrate the sensor data and assessment data at the construction site, generate a heat map to overlay risk information on the three-dimensional model, and after color marking, transmit it to the user terminal through a wireless network.

[0062] In this embodiment, the on-site data acquisition module uses a sensor group installed at the construction site to continuously monitor key environmental data and material data, and transmits the data to the data integration server via a wireless network. This method of real-time data transmission and automated acquisition greatly improves the monitoring accuracy at the construction site, avoids the drawbacks of traditional manual recording and delayed updates, and ensures the timeliness and accuracy of the data. The data processing module and the data integration module process and analyze the collected environmental data and material data to construct a material impact data set, 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 evaluated. This process avoids the deficiencies of relying on manual experience to judge risks in traditional methods, making the risk assessment more scientific and accurate. In addition, through the material reduction analysis module, the system considers the long-term impact of humidity on material strength, and conducts a long-term dynamic analysis of the impact of moisture on materials through the calculation of the dynamic reduction factor ZJ(H,t), thereby providing a more comprehensive evaluation basis for construction risks. The in-depth risk assessment module and the visualization warning module have significant advantages in improving construction safety and management efficiency. The in-depth risk assessment module further evaluates the risks of materials over a long time period by combining the construction risk index cfx and the reduction factor ZJ(H,t), and visually presents the risk information in the three-dimensional model through the BIM system. The visualization warning module generates a risk heat map based on the evaluation results, intuitively displays the risk status of different regions through color markings, and transmits it to the project management terminal in real time via 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, enabling project managers to take preventive measures in a timely manner, reducing safety accidents and material losses, and improving the overall safety and construction quality of the project.

[0063] Embodiment 2

[0064] This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 , specifically: The on-site data acquisition module includes a data acquisition unit and a data transmission unit;

[0065] The data acquisition unit continuously monitors environmental data and material data through a sensor group installed at the construction site, sets the acquisition frequency of the sensor group to once every 5 minutes, constructs a data integration server, and establishes a communication connection with the sensor group via a wireless network;

[0066] The sensor group includes a humidity sensor, a temperature sensor, and a load stress sensor;

[0067] The change in the indoor air humidity H(t) is continuously monitored through the humidity sensor installed at the construction site;

[0068] The change of the load stress hz(t) of the installed materials is monitored in real time by the load stress sensors installed at the construction site;

[0069] The data transmission unit transmits the environmental data and material data collected by the sensor group to the BIM system every 5 minutes via a wireless network, and timestamps, sensor positions, sensor identifiers, and data types are marked for the environmental data and material data.

[0070] In this embodiment, the installation of the humidity sensor, temperature sensor, and load stress sensor enables the system to accurately monitor the changes in air humidity, indoor temperature, and material load stress, providing accurate real-time data for subsequent risk assessment. In addition, by timestamping, sensor position, and identifier for the collected data and transmitting it to the BIM system every five minutes via a wireless network, the timeliness and effectiveness of the data are ensured. The high frequency, accuracy, and timeliness of this data collection and transmission greatly improve the monitoring ability 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 improving the intelligent and refined level of construction management.

[0071] Embodiment 3

[0072] This embodiment is an explanatory description based on Embodiment 2. Please refer to Figure 1 , specifically: The data processing module includes a data processing unit and a data storage unit;

[0073] 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;

[0074] The real-time data periodically collected by the temperature sensor forms an indoor temperature time series T(t i ), T(t i+1 ),..., T(t i+n ), and then the temperature gradient is obtained through differential calculation T. The specific algorithm formula is: ;

[0075] The material impact data set includes indoor air humidity H(t), indoor temperature gradient T, real-time load stress hz(t), maximum bearing stress hz max and the peak water content H of the material lim ;

[0076] The data storage unit is used to construct a NoSQL database. The material impact dataset is stored in the NoSQL database through a local area network for managing and storing the material impact dataset. The NoSQL database includes a real-time data table and a historical data table. The material impact dataset obtained in real time is stored in the real-time data table, and the upper-group data in the real-time data table is automatically transferred to the historical data table for long-term storage.

[0077] In this embodiment, the data processing module significantly improves the accuracy and availability of the material impact dataset through an efficient real-time data reception and processing process. The data processing unit first performs verification, denoising, outlier processing, and format normalization on the environmental data and material data, ensuring the integrity and consistency of the data during transmission and effectively avoiding incorrect analysis and decision-making caused by data quality problems. Especially through the calculation of temperature gradients and the periodic collection of humidity changes, it can promptly capture the subtle changes in the construction environment that may affect material stability. At the same time, the system stores the material impact dataset in a NoSQL database for efficient management and query. By storing real-time data in the real-time data table and automatically transferring expired data to the historical data table, the system ensures long-term data tracking and historical traceability capabilities. 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.

[0078] Embodiment 4

[0079] This embodiment is an explanatory description based on Embodiment 3. Please refer to Figure 1 , specifically: The data integration module includes a data integration unit and a risk analysis unit;

[0080] The data integration unit constructs a BIM system through a data integration server. The BIM system extracts the material impact dataset in the real-time data table through a local area network, then creates a new project through the BIM system, selects an interior design project template, uses the CAD import function to import existing 2D CAD drawings into the working environment of the BIM system, defines the reference point and elevation of the project. On the basis of the imported drawings, uses the BIM system to create room partitions, and adjusts the wall thickness and height through the property panel. According to the design requirements, select custom components, custom sizes, and material properties to construct a 3D model of the construction site layout;

[0081] 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 according to the sensor position information, material installation position information, marked time stamps, sensor identifiers, and data types arranged on-site. When specifying attributes for indoor components in the BIM system, the material attributes are input through the material editor and plug-in extensions to truly simulate the construction site layout and the material attributes used.

[0082] The risk analysis unit includes a construction risk analysis unit and a construction risk assessment unit;

[0083] Based on the constructed 3D model, the construction risk analysis unit analyzes the impact of indoor air humidity H(t) on the material structural strength through the BIM system, and combines it with the standard humidity value H0 of the material under normal temperature and humidity to analyze the reduction factor β(H) of humidity on the structural strength. , where w represents the correction constant, and then combines it with the material impact data set for comprehensive calculation to obtain the construction risk index cfx;

[0084] The construction risk index cfx is obtained through the following formula;

[0085] ;

[0086] In the formula, α represents the hygroscopic coefficient of the material, which is a dimensionless value obtained from material tests. 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 represents the peak water content of the material, and hz max represents the maximum bearing stress. The maximum bearing stress hz max and the peak water content of the material H lim are initially input by the user based on the material standard.

[0087] 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 analyzes the laws of the influence of temperature, humidity, and load stress on the long-term stability of the material structure by using statistical methods, forms a basic data set, identifies the fluctuating mean value, sets a preset material moisture tolerance threshold A, compares it with the obtained construction risk index cfx, and then conducts a construction risk assessment based on the comparison results. The specific assessment plan is as follows;

[0088] When the construction risk index cfx ≥ the material moisture tolerance threshold A, it indicates that there is a risk, generates the first prevention warning information, and transmits it to the user terminal of the project person in charge through the wireless network to remind the project person in charge to take preventive measures;

[0089] When the construction risk index cfx < the material moisture tolerance threshold A, it indicates no risk. Keep monitoring and recording data, and trigger a depth assessment.

[0090] In this embodiment, the data integration module accurately creates a 3D model through the BIM system, and precisely docks the data collected by on-site sensors in real time with the components in the model, ensuring that the environmental changes at the construction site can be synchronized and updated with the design model, providing a dynamic real-time monitoring platform. The risk analysis unit comprehensively considers multiple factors such as air humidity, temperature, and load stress, combines with the physical properties of materials, accurately assesses the potential structural risks during the construction process, and conducts quantitative analysis through the construction risk index cfx, avoiding the blindness and errors of traditional manual judgment. In addition, through the statistical analysis of historical data and combined with the preset material moisture tolerance threshold A, the system automatically generates risk warnings and prevention information 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, optimizing various processes of construction management.

[0091] Embodiment 5

[0092] This embodiment is an explanatory description based on Embodiment 4. Please refer to Figure 1 , specifically: The material reduction analysis module is used to, when the preliminary assessment shows no risk, continuously monitor the change of air humidity H(t) in real time through the humidity sensors installed at the construction site. The humidity sensors form a humidity time series H(t i ) by periodically collecting and uploading real-time data, H(t i+1 ),..., H(t i+n ). After being processed by a graphical tool, a curve of humidity changing with time is formed. Then, the numerical integration method is used to integrate the humidity curve, and combined with the standard humidity value H0 of the material under normal temperature and humidity, the cumulative effect of humidity on the material strength is calculated to obtain the long-term dynamic reduction factor ZJ(H, t);

[0093] ;

[0094] In the formula, ZJ(H, t) represents the cumulative effect of humidity on the material strength at time t, H(t) represents the humidity at time t, k represents the reduction coefficient of the influence of each unit of humidity exceeding the standard time on the material strength, and dt represents the infinitesimal change of the time variable in the integral equation.

[0095] In this embodiment, the material reduction analysis module significantly improves the accuracy and foresight of risk assessment at the construction site through in-depth analysis of the long-term impact of humidity on structural stability. Through real-time data collection by humidity sensors and time series analysis, combined with numerical integration 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). It not only considers the change of real-time humidity but also quantifies the gradual impact of excessive humidity on material strength, providing a more accurate prediction of material stability. Compared with traditional single evaluation methods, the dynamic analysis of this module can more realistically reflect the performance changes of materials in complex environments, identify potential risks in advance, and avoid structural damage or safety hazards caused by the failure to monitor humidity changes in a timely manner. The application of this technology effectively improves the material management and risk control capabilities during the construction process, ensures construction quality and project safety, and has obvious advantages especially in predicting the impact of long-term humidity fluctuations on materials.

[0096] Embodiment 6

[0097] This embodiment is an explanatory note for Embodiment 5. Please refer to Figure 1 , specifically: The in-depth risk assessment module includes an in-depth risk analysis unit and an in-depth risk assessment unit;

[0098] The in-depth 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 on materials, and construct an in-depth risk assessment formula through the BIM system. The construction risk index cfx and the reduction factor ZJ(H,t) are imported into the in-depth risk assessment formula to calculate and obtain the in-depth risk index SDF;

[0099] The in-depth risk assessment formula is as follows;

[0100] ;

[0101] In the formula, cfx(t) represents the construction risk index at time t, and SDF(t) represents the in-depth risk index at time t.

[0102] The in-depth risk assessment unit is used to compare the obtained in-depth risk index SDF with the preset material moisture tolerance threshold A, and conduct in-depth assessment based on the comparison result. The in-depth assessment is of the risk of the long-term impact of moisture on the material structure within the specified replacement cycle of the material. The specific assessment scheme is as follows;

[0103] When the depth risk index SDF ≥ the material moisture tolerance threshold A, it indicates that there is a structural risk within the cycle. At this time, the second preventive warning information is generated and transmitted to the client 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;

[0104] When the depth risk index SDF < the material moisture tolerance threshold A, it indicates that there is no structural risk within the cycle, and the monitoring is maintained and the data is recorded.

[0105] In this embodiment, the depth 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 material strength. Through the depth risk assessment formula constructed by the BIM system, the specific depth risk index SDF can be quantified, providing a scientific basis for material selection, design adjustment and risk prevention during the construction process. In addition, the system combines the depth risk index SDF with the preset material moisture tolerance threshold A for evaluation to ensure that potential risks can be detected in a timely manner during the material usage cycle. When the depth risk index SDF exceeds the material moisture tolerance threshold A, the system automatically generates a warning to remind the project leader to make structural adjustments or replace materials, avoiding structural damage and safety hazards caused by excessive humidity. This intelligent and dynamic evaluation and warning mechanism greatly improves the safety and efficiency of construction, reduces losses caused by failure to identify risks in a timely manner, and enhances the scientific nature of project management and the ability to respond to sudden risks.

[0106] Embodiment 7

[0107] This embodiment is an explanatory description carried out in Embodiment 1, please refer to Figure 1 Specifically: The visual warning module includes a graphics construction unit and a user visualization unit;

[0108] 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 evaluation data of the BIM system. Based on the building structure data of the BIM system, the rendering engine superimposes risk information on the three-dimensional model, making the identification of the risk area match the actual construction structure, assigns color coding according to different risk values of the evaluation results, generates a risk heat map and renders it at the corresponding position of the three-dimensional model, marks the existence of risks as red, and marks the absence of risks as green. The graphics renderer refreshes the data every 5 minutes. When the rendering engine continuously monitors changes in the input data in the background, it triggers an automatic update of the rendering result;

[0109] The user visualization unit is used to receive the heat map and 3D model generated by the renderer and transmit them to the user terminal through the wireless network. The risk areas are visually distinguished by colors and icons, and detailed risk index values are marked. When the data is refreshed, there will be a flashing prompt and a pop-up reminder on the user interface.

[0110] In this embodiment, through the close cooperation of the graphic construction unit and the user visualization unit, the visualization warning module realizes the efficient, intuitive and dynamic management of construction site risk. In the graphic construction unit, based on the 3D model of the BIM system, after the real-time transmitted material impact data set and the evaluation data are integrated, the rendering engine accurately superimposes the risk information on the model, assigns color coding according to the risk assessment results, and generates a real-time updated risk heat map to visually identify the risk areas of the construction site. Through the data refresh every 5 minutes and the automatic update when major data changes occur, the system ensures the timeliness and accuracy of the risk information. The user visualization unit then transmits these real-time risk heat maps and 3D models to the user terminal. The user can visually distinguish the risk areas by colors and icons and view the detailed risk index. When the data is refreshed, the flashing prompt and pop-up reminder on the interface ensure the immediate transmission and processing of the risk information, significantly improving the response speed and decision-making efficiency of construction management personnel to on-site risks, and thus enhancing the engineering safety and the intelligent level of management.

[0111] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent management system for indoor decoration projects applying BIM technology, characterized in that: It includes an on-site data acquisition module, a data processing module, a data integration module, a material reduction analysis module, a depth risk assessment module, and a visualization warning module; The on-site data acquisition module is used to build a data integration server, communicate and connect with a sensor group installed at the construction site through a wireless network, and monitor environmental data and material data in real time through the sensor group and transmit them 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 build a three-dimensional model. After importing the material impact data set into the three-dimensional model, calculate through the BIM system to obtain a construction risk index cfx, compare it with a preset material moisture tolerance threshold A, and conduct a construction risk assessment based on the comparison result; The data integration module includes a data integration unit and a risk analysis unit; The data integration unit builds a BIM system through a data integration server. The BIM system extracts the material impact data set in the real-time data table through a local area network, then creates a new project through the BIM system, selects an interior design project template, uses the import CAD function to import existing two-dimensional CAD drawings into the working environment of the BIM system, defines the reference point and elevation of the project. On the basis of the imported drawings, uses the BIM system to create room partitions, and adjusts the wall thickness and height through the property panel. According to the design requirements, select custom components, custom sizes, and material properties to build a three-dimensional model of the construction site layout; The BIM system extracts the material impact data set in the real-time data table, and synchronously imports it to the same position in the three-dimensional model according to the sensor position information, material installation position information, marked time stamps, sensor identification, and data type arranged on the site. When specifying attributes for indoor components in the BIM system, input material attributes through the material editor and plug-in extensions to truly simulate the construction site layout and the material attributes used; The risk analysis unit includes a construction risk analysis unit and a construction risk assessment unit; Based on the constructed three-dimensional model, the construction risk analysis unit analyzes the influence of indoor air humidity H(t) on the material structure strength through the BIM system, and combines the standard humidity value H0 of the material under normal temperature and humidity to analyze the reduction factor β(H) of humidity on the structure strength. , where w represents a correction constant, and then combines the material influence data set for comprehensive calculation to obtain the construction risk index cfx. The construction risk index cfx is obtained through the following formula calculation; ； In the formula, α represents the hygroscopic coefficient of the material, which is a dimensionless value obtained from material tests. 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 represents the peak water content of the material, and hz max represents the maximum bearing stress, and the maximum bearing stress hz max and the peak water content H of the material lim are initially input by the user based on the material standard. T represents the temperature gradient. The material reduction analysis module is used to, when there is no risk in the preliminary assessment, monitor the change of the air humidity H(t) in real time through the humidity sensors installed at the construction site. The humidity sensors collect and upload real-time data periodically to form a humidity time series H(t i ), H(t i+1 ),..., H(t i+n ). After being processed by a graphical tool, a curve of humidity changing with time is formed. Then, the numerical integration method is used to integrate the humidity curve, and combined with the standard humidity value H0 of the material under normal temperature and humidity, the cumulative effect of humidity on the material strength is calculated to obtain the long-term dynamic reduction factor ZJ(H, t); ； In the formula, 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 impact of per unit humidity exceeding the standard time on material strength, and dt represents the small change of the time variable in the integral equation; The depth risk assessment module is used to perform a summary calculation based on the obtained construction risk index cfx and the long-term dynamic reduction factor ZJ(H, t) to obtain a depth risk index SDF, compare it with a preset material moisture tolerance threshold A, and conduct a depth assessment based on the comparison result; The depth risk assessment module includes a depth risk analysis unit and a depth risk assessment unit; The deep risk analysis unit uses the obtained construction risk index cfx as the analysis basis, introduces a dynamic reduction factor ZJ(H, t) to correct the long-term risk of moisture on materials, and constructs a deep risk assessment formula through the BIM system. The construction risk index cfx and the reduction factor ZJ(H, t) are imported into the deep risk assessment formula to calculate and obtain the deep risk index SDF; The deep risk assessment formula is as follows; ； In the formula, cfx(t) represents the construction risk index at time t, and SDF(t) represents the deep risk index at time t; The visualization warning module is used to collect and integrate the construction site sensor data and evaluation data, generate a heat map to overlay risk information on the 3D model, and after color marking, transmit it to the user terminal through the wireless network.

2. The intelligent management system for interior decoration projects applying BIM technology according to claim 1, characterized in that: The on-site data collection module includes a data collection unit and a data transmission unit; The data collection unit uses a sensor group installed at the construction site to monitor environmental data and material data in real time, and sets the collection frequency of the sensor group to once every 5 minutes; The sensor group includes a humidity sensor, a temperature sensor, and a load stress sensor; The change of indoor air humidity H(t) is monitored in real time by a humidity sensor installed at the construction site; The change of the load stress hz(t) of the installed materials is monitored in real time by a load stress sensor installed at the construction site; The data transmission unit constructs a data integration server, 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 marks time stamps for the environmental data and material data.

3. The intelligent management system for interior decoration projects applying BIM technology according to claim 2, characterized in that: The data processing module includes a data processing unit and a data storage unit; The data processing unit receives 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 the temperature gradient T is obtained through differential calculation. The specific algorithm formula is: ; The described material influence data set includes indoor air humidity H(t), indoor temperature gradient T, real-time load stress hz(t), maximum bearing stress hz max and the peak water content H of the material lim ; The data storage unit is used to construct a non-relational database NoSQL, stores the material impact data set in the non-relational database NoSQL through the local area network, manages and stores the material impact data set. The non-relational database NoSQL includes a real-time data table and a historical data table. The real-time obtained material impact data set is stored in the real-time data table, and the previous group of data in the real-time data table is automatically transferred to the historical data table for long-term storage.

4. The intelligent management system for interior decoration projects applying BIM technology according to claim 1, characterized in that: 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 analyzes the laws of the influence of temperature, humidity, and load stress on the long-term stability of the material structure by using statistical methods, forms a basic data set, identifies the mean value of the fluctuations, sets a preset material moisture tolerance threshold A, and compares it with the obtained construction risk index cfx, and then conducts a construction risk assessment based on the comparison result. The specific assessment plan is as follows; When the construction risk index cfx ≥ the moisture tolerance threshold A of the material, it indicates that there is a risk. The first preventive warning information is generated and transmitted to the user terminal of the project leader through the wireless network to remind the project leader to take preventive measures; When the construction risk index cfx < the moisture tolerance threshold A of the material, it indicates that there is no risk. Keep monitoring and record the data, and trigger a depth assessment.

5. The intelligent management system for interior decoration projects applying BIM technology according to claim 1, characterized in that: The depth risk assessment unit is used to compare the obtained depth risk index SDF with the preset moisture tolerance threshold A of the material, and conduct a depth assessment based on the comparison result. The depth assessment is of the risk of the long-term impact of moisture on the material structure within the specified replacement cycle of the material. The specific assessment plan is as follows; When the depth risk index SDF ≥ the moisture tolerance threshold A of the material, it indicates that there is a structural risk within the cycle. At this time, the second preventive warning information is generated and transmitted to the user terminal of the project leader through the wireless network to remind 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 < the moisture tolerance threshold A of the material, it indicates that there is no structural risk within the cycle. Keep monitoring and record the data.

6. The intelligent management system for interior decoration projects applying BIM technology according to claim 1, characterized in that: The visual warning module includes a graphic construction unit and a user visualization unit; The graphic 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 risk information on the 3D model, making the identification of the risk area match the actual construction structure. Color coding is assigned according to different risk values of the assessment results, and a risk heat map is generated and rendered at the corresponding position of the 3D model. The areas with risks are marked in red, and the areas without risks are marked in green. The graphic renderer refreshes the data every 5 minutes. When the rendering engine continuously monitors changes in the input data in the background, it triggers an automatic update of the rendering result; The user visualization unit is used to receive the heat map and 3D model generated by the renderer and transmit them to the user terminal through the wireless network. The risk areas are visually distinguished by colors and icons, and the detailed risk index values are marked. When the data is refreshed, there will be a flashing prompt and a pop-up reminder on the user interface.

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