Building material quality management control system for intelligent construction site

Abstract

The invention discloses a building material quality management control system for an intelligent construction site, and relates to the technical field of intelligent construction sites, and the system collects the performance data of building materials through automatic detection equipment and building material performance files provided by manufacturers, and constructs a building material data analysis platform to carry out data preprocessing, and obtains a physical index data set. And evaluating the physical construction performance of the building material by calculating the physical component performance index sii of the building material. And if the performance of the building material is qualified, acquiring fatigue data through a sensor group, analyzing the attenuation and degradation conditions of the building material, obtaining a comprehensive fatigue durability index fdc through comprehensive calculation, and evaluating the durability of the building material. By recording the production information, the laboratory report, the transportation state and the like of each batch, the production source can be quickly traced when the quality problem occurs, and the quality management of the construction site is ensured to be accurate and efficient. In addition, the system can monitor the use condition of the building materials in real time, and the intelligence and automation level of building material management is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart construction sites, and in particular to a building material quality management and control system for smart construction sites. Background Art

[0002] With the continuous advancement of urbanization, the construction industry is facing increasing pressure on quality and safety management. Traditional construction quality management methods are gradually unable to meet the requirements of modern construction projects for efficiency, precision and sustainability. At the same time, with the rapid development of information technology, the Internet of Things, big data and artificial intelligence, the concepts of smart cities and smart construction sites are gradually emerging, driving the construction industry to develop in a more intelligent and automated direction. The complexity of construction projects and the strict requirements for quality control make how to effectively manage the quality of building materials, especially monitoring the performance decline and aging of building materials during long-term use, a key issue that needs to be solved urgently. Therefore, how to improve the quality management of building materials through advanced technical means and ensure the long-term stability and safety of construction projects has become the focus of attention inside and outside the industry.

[0003] In the Chinese invention application with application publication number CN115271681A, an in-and-out material control module and a process detection module are included. The in-and-out material control module is composed of a building material procurement module, an entry identification module, a building material classification module, an entry quality detection module, an entry registration module, a building material exit module, an exit identification module, an exit registration module, an exit quality detection module, an exit circulation module and a building material inventory module. The process detection module is composed of a process monitoring module and a storage archive module. The in-and-out material control module is used for inventory management of building material procurement entry and exit. At the same time, the process detection module is used to realize the quality monitoring management of the entire process of building material raw material entry detection and building material raw material exit detection, so as to realize the intelligent management and control of construction site building materials, which is conducive to improving the standardization of building material use management and the transparency of building material detection process.

[0004] In combination with the prior art, the above application still has the following deficiencies: First, the above applications mainly focus on the procurement, warehousing, outbound and inventory management of building materials. There is a lack of in-depth analysis and prediction of the degradation, fatigue and durability changes of building materials during long-term use, and the long-term performance of building materials during the construction process cannot be fully evaluated. Secondly, the quality inspection module of the system is mainly focused on single inspections during warehousing and outbound, and does not involve continuous monitoring of building materials during use. There is a lack of dynamic change monitoring of building materials under different use environments and load conditions, and it is not easy to achieve real-time performance evaluation and early warning. Finally, although the system provides process monitoring and archiving functions, it lacks intelligent decision support and optimization measures. It is not easy to make systematic improvements or identify potential risks in advance based on monitoring data, which affects the intelligence level and precise management capabilities of the system. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a building material quality management and control system for smart construction sites, which solves the problems in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a building material quality management and control system for smart construction sites, including a building material data acquisition module, a building material analysis module, an attenuation and degradation analysis module, a comprehensive fatigue analysis module and a traceability management module; The building material data acquisition module is used to collect the performance data of building materials based on the manufacturer's building material performance files and automated testing equipment, and to build a building material data analysis platform to pre-process the performance data and obtain a physical index data group; The building material analysis module is used to perform crack propagation analysis, stress distribution analysis and pore structure analysis based on the physical index data group, and to perform fitting based on the analysis results to obtain the building material physical component performance index SII for building material performance evaluation; The attenuation degradation analysis module is used to collect the degradation data of the building materials through the sensor group and the manufacturer's building material performance archive when the building material performance is evaluated as qualified, and pre-process it through the building material data analysis platform to obtain the fatigue data group, and then calculate the building material attenuation degradation index mfd based on the fatigue data group; The comprehensive fatigue analysis module is used to perform summary calculations based on the building material physical component performance index SII and the building material attenuation degradation index MFD to obtain the comprehensive fatigue durability index FDC for building material durability performance evaluation; The traceability management module is used to record and archive the production information, laboratory test reports, transportation status and analysis results of the building materials data analysis platform for each batch, and trace the building materials with quality problems.

[0007] Preferably, the building material data acquisition module includes a data acquisition unit and a data processing unit; The data acquisition unit is used to collect performance data of building materials based on the manufacturer's building material performance files and automated testing equipment; The automated detection equipment includes an ultrasonic sensor and an X-ray generator; The data processing unit is used to construct a building materials data analysis platform, and establish a transmission channel with the manufacturer's building materials performance archive through a dedicated API interface, and then establish a transmission channel with the automated testing equipment through a communication network, and transmit the real-time acquired performance data to the building materials data analysis platform for preprocessing to obtain a physical index data group of the building materials; The preprocessing includes missing value processing, outlier detection, data alignment, denoising and dimensionless processing; The physical indicator data group includes crack length lc, building material density md, building material cross-sectional area mj, effective stress-bearing area length L and building material porosity kx.

[0008] Preferably, the building material analysis module includes a building material performance analysis unit and a comprehensive physical construction analysis unit; The building material performance analysis unit is used to perform crack extension analysis, stress distribution analysis and pore structure analysis based on the acquired physical index data group, and respectively summarize and calculate to obtain the microcrack extension index lwk, the local stress distribution index qxb and the pore structure change index kxb. The specific calculation formula is as follows; The microcrack extension index lwk is obtained by the following formula: ; In the formula, represents the viscosity coefficient of ultrasound, and cs represents the propagation speed of ultrasound; The local stress distribution index qxb is obtained by the following formula: ; In the formula, yl max Indicates the maximum stress that building materials can withstand under standard conditions, L z represents the total length of the building material, k1 represents the constant coefficient of the building material, and k2 represents the correction constant for the influence of nonlinear stress distribution of the building material; The pore structure change index kxb is obtained by the following formula: ; Where kx0 represents the initial porosity of the building material, θ represents the X-ray diffraction angle, qf represents the yield strength of the building material, and bc represents the X-ray wavelength.

[0009] Preferably, the comprehensive physical construction analysis unit includes a physical construction performance analysis unit and a physical construction performance evaluation unit; The physical construction performance analysis unit is used to perform summary calculations based on the microcrack extension index lwk, the local stress distribution index qxb and the pore structure change index kxb to obtain the building material physical component performance index sii; The building material physical component performance index sii is obtained by the following formula: ; Wherein, q1, q2 and q3 represent the weight coefficients of microcrack extension index lwk, local stress distribution index qxb and pore structure change index kxb respectively, and 0<q1<1, 0<q2<1, 0<q3<1, and the specific values ​​are set by the user.

[0010] Preferably, the physical construction performance evaluation unit is used to preset the structural performance health threshold A according to the quality standards of the building materials industry, and to evaluate the building material performance with the acquired building material physical component performance index sii. The specific evaluation scheme is as follows; When the building material physical component performance index sii> structural performance health threshold A, the building material performance is qualified, and the building material fatigue aging analysis is performed; When the physical component performance index sii of building materials is less than or equal to the structural performance health threshold A, the building material performance is unqualified. At this time, structural risk warning information is generated and transmitted to the user-end equipment of relevant personnel through the communication network to notify them to repair and replace the building materials.

[0011] Preferably, the attenuation degradation analysis module includes a degradation data acquisition unit and a degradation analysis unit; The degradation data acquisition unit is used to perform fatigue aging analysis of building materials when the building material performance is evaluated as qualified; The building material fatigue aging analysis is used to collect the degradation data of building materials based on the sensor groups installed at various locations of the building materials and the manufacturer's building material performance files, and transmit the real-time degradation data to the building material data analysis platform through the communication network for preprocessing to obtain the fatigue data group; The sensor group includes an optical fiber strain sensor, an accelerometer, an infrared sensor, a humidity sensor and an ultrasonic sensor; The preprocessing includes missing value processing, outlier detection, data alignment, denoising, dimensionless processing, temperature change rate analysis and residual stress analysis; The temperature change rate analysis is performed by analyzing the temperature T collected in real time by the infrared sensor to obtain the temperature change rate ∆T, specifically: , where T(t1) and T(t2) represent the temperature values ​​at time t1 and time t2 respectively, and t1 and t2 represent time variables; The residual stress analysis obtains the residual stress yc of the building material by calculating the sound velocity C emitted by the ultrasonic sensor, specifically: , where C0 represents the ultrasonic propagation velocity of the material in the stress-free state, and α represents the material constant; The fatigue data set includes stress amplitude yf, load frequency hp, building material moisture sd, building material hardness cy, temperature change rate ∆T and residual stress yc.

[0012] Preferably, the degradation analysis unit is used to perform summary calculation based on the acquired fatigue data group to obtain the building material attenuation degradation index mfd; The building material attenuation degradation index mfd is obtained by the following formula: ; In the formula, yl maxIt represents the maximum stress that building materials can withstand under standard conditions, ln represents the logarithmic function, hp ref Indicates the base load frequency.

[0013] Preferably, the comprehensive fatigue analysis module includes a fatigue durability analysis unit and a durability performance evaluation unit; The fatigue durability analysis unit is used to perform summary calculation based on the acquired building material physical component performance index sii and building material attenuation degradation index mfd to obtain a comprehensive fatigue durability index fdc; The comprehensive fatigue durability index fdc is obtained by the following formula: ; Wherein, ln represents the logarithmic function.

[0014] Preferably, the durability performance evaluation unit is used to preset the fatigue damage attenuation threshold B according to the service life standard of building materials designed for construction projects, and to evaluate the durability of building materials with the obtained comprehensive fatigue durability index fdc. The specific evaluation scheme is as follows; When the comprehensive fatigue durability index fdc> fatigue damage attenuation threshold B, the durability of the building material meets the standard and maintains normal monitoring; When the comprehensive fatigue durability index fdc ≤ fatigue damage attenuation threshold B, the durability performance of building materials does not meet the standards. At this time, durability risk warning information is generated and transmitted to the user-end equipment of relevant personnel through the communication network to notify them to replace the building materials.

[0015] Preferably, the traceability management module includes a batch management unit and a tracking and tracing unit; The batch management unit is used to record the production information, laboratory test report and transportation status of each batch according to the manufacturer's building material performance files, and to systematically archive the analysis results of the building material data analysis platform. During the use of building materials, construction personnel will scan the QR code and bar code of the building materials, and the building material data analysis platform will automatically record the use location, construction time and use status of the building materials; The tracking and tracing unit is used to locate the building materials with quality problems based on the usage locations of the building materials recorded by the building materials data analysis platform after quality problems occur. Secondly, based on the unique batch number assigned to each building material by the manufacturer during production, the batch number is used to trace the production, transportation, supplier, laboratory test report and transportation links of the building materials. Finally, the building materials data analysis platform generates quality traceability information and transmits it to the user-end devices of relevant personnel through the communication network.

[0016] The present invention provides a building material quality management and control system for smart construction sites. It has the following beneficial effects: (1) The building materials data acquisition module of the system accurately collects the performance data of building materials through the data acquisition unit and the data processing unit, based on the manufacturer's building materials performance files and automated detection equipment such as ultrasonic sensors and X-ray generators. The data is preprocessed through the building materials data analysis platform. After missing value processing, outlier detection, data alignment, denoising and dimensionless processing, it is converted into a physical indicator data set, providing a comprehensive performance foundation and providing the necessary parameter support for subsequent building materials performance evaluation and analysis, thus laying the data foundation for the entire system.

[0017] (2) The building material analysis module of the system performs crack extension analysis, stress distribution analysis and pore structure analysis based on the physical index data set, and obtains the microcrack extension index lwk, local stress distribution index qxb and pore structure change index kxb to evaluate the performance of building materials. These indicators are summarized to form the building material physical component performance index sii, which is compared with the structural performance health threshold A to determine whether the performance of the building material is healthy. If the building material physical component performance index sii exceeds the structural performance health threshold A, the building material performance is qualified; if the building material physical component performance index sii is less than or equal to the structural performance health threshold A, a structural risk warning information is generated. The attenuation degradation analysis module is used to perform building material fatigue aging analysis when the building material performance evaluation shows that the building material performance is qualified. The degradation data of the building material is collected through the sensor group installed at each position of the building material and the manufacturer's building material performance archive, and the real-time degradation data is transmitted to the building material data analysis platform through the communication network for preprocessing, and the fatigue data group is obtained. Further degradation analysis is performed based on the fatigue data group to obtain the building material attenuation degradation index mfd, which is used to evaluate the aging of the building material. The calculation of the attenuation degradation index takes into account the influence of the load frequency and obtains the final result through a logarithmic function.

[0018] (3) The system's comprehensive fatigue analysis module calculates the building material physical component performance index sii and the building material attenuation degradation index mfd to obtain the comprehensive fatigue durability index fdc. The durability of building materials is further evaluated by combining the nonlinear relationship between physical performance and attenuation through a logarithmic function. When the comprehensive fatigue durability index fdc exceeds the fatigue damage attenuation threshold B, the building material meets the durability standard; if the comprehensive fatigue durability index fdc is less than or equal to the fatigue damage attenuation threshold B, the system generates a durability risk warning message and notifies relevant personnel to replace or repair the building materials. The traceability management module records the production information, laboratory test report and transportation status of each batch, and tracks the location of building materials in real time through QR codes or barcodes. When quality problems occur, the system can quickly locate the production, transportation, and use of problematic building materials to ensure that quality problems can be traced back to the source, thereby effectively reducing safety risks caused by quality problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a schematic diagram of the process flow of a building material quality management and control system for a smart construction site according to the present invention; Figure 2 This is an operating principle diagram of a building material quality management and control system for a smart construction site according to the present invention; Figure 3 This is a data processing and analysis flow chart of the building materials data analysis platform of the present invention; Figure 4 It is a schematic diagram of evaluating the durability of the building material of the present invention. DETAILED DESCRIPTION

[0020] 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.

[0021] Example 1 See also Figure 1 , the present invention provides a building material quality management and control system for smart construction sites. To achieve the above purpose, the present invention is implemented through the following technical solutions: including a building material data acquisition module, a building material analysis module, an attenuation and degradation analysis module, a comprehensive fatigue analysis module and a traceability management module; The building material data acquisition module is used to collect the performance data of building materials based on the manufacturer's building material performance files and automated testing equipment, and to build a building material data analysis platform to pre-process the performance data and obtain a physical index data group; The building material analysis module is used to perform crack propagation analysis, stress distribution analysis and pore structure analysis based on the physical index data group, and to perform fitting based on the analysis results to obtain the building material physical component performance index SII for building material performance evaluation; The attenuation degradation analysis module is used to collect the degradation data of the building materials through the sensor group and the manufacturer's building material performance archive when the building material performance is evaluated as qualified, and pre-process it through the building material data analysis platform to obtain the fatigue data group, and then calculate the building material attenuation degradation index mfd based on the fatigue data group; The comprehensive fatigue analysis module is used to perform summary calculations based on the building material physical component performance index SII and the building material attenuation degradation index MFD to obtain the comprehensive fatigue durability index FDC for building material durability performance evaluation; The traceability management module is used to record and archive the production information, laboratory test reports, transportation status and analysis results of the building materials data analysis platform for each batch, and trace the building materials with quality problems.

[0022] In this embodiment, the building materials data acquisition module collects the performance data of building materials in real time by combining the manufacturer's building materials performance archives with automated testing equipment, and pre-processes these data through the data analysis platform to obtain a physical index data group to ensure the accuracy and completeness of the physical index data. This provides a reliable basis for subsequent building materials performance evaluation. Compared with traditional manual testing or single equipment testing methods, the system can collect comprehensive physical data more efficiently and accurately, reduce human errors, and provide real-time dynamic support for subsequent analysis.

[0023] The building materials analysis module further calculates the building materials physical component performance index SII by analyzing the physical index data group for crack extension, stress distribution and pore structure, providing a scientific quality assessment standard for engineering construction. This module is closely integrated with the attenuation degradation analysis module. When the building materials performance is qualified, the attenuation degradation analysis module collects the degradation data of the building materials through the sensor group, obtains the fatigue data group after preprocessing, and calculates the building materials attenuation degradation index MFD based on the fatigue data group to further evaluate the degradation of the building materials in long-term use. Compared with the traditional static quality inspection method, the system can dynamically monitor the performance of building materials under different environmental conditions, discover potential structural risks in advance, and greatly improve the service life prediction and early warning capabilities of building materials. The comprehensive fatigue analysis module calculates the comprehensive fatigue durability index FDC by combining the physical construction performance index SII of building materials with the attenuation degradation index MFD, providing a more accurate assessment of the long-term durability of building materials. On this basis, the traceability management module can quickly trace back to the source when quality problems occur by recording and archiving the production, test reports and transportation status of each building material. Compared with traditional means, this system not only effectively improves the transparency of quality control through real-time data updating and traceability management, but also makes building materials quality management more refined and automated, thereby greatly reducing safety hazards in construction and improving the efficiency and accuracy of project quality control.

[0024] Example 2 This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the building material data acquisition module includes a data acquisition unit and a data processing unit; The data acquisition unit is used to collect performance data of building materials based on the manufacturer's building material performance files and automated testing equipment; The automated detection equipment includes an ultrasonic sensor and an X-ray generator; Ultrasonic sensors are used to obtain the crack length lc of building materials; The X-ray generator is used to obtain the porosity kx of the building material; The building material density md, building material cross-sectional area mj, and effective stress-bearing area length L are directly obtained from the manufacturer’s building material performance files; The data processing unit is used to construct a building materials data analysis platform, and establish a transmission channel with the manufacturer's building materials performance archive through a dedicated API interface, and then establish a transmission channel with the automated testing equipment through a communication network, and transmit the real-time acquired performance data to the building materials data analysis platform for preprocessing to obtain a physical index data group of the building materials; The preprocessing includes missing value processing, outlier detection, data alignment, denoising and dimensionless processing; The physical indicator data group includes crack length lc, building material density md, building material cross-sectional area mj, effective stress-bearing area length L and building material porosity kx.

[0025] In this embodiment, the building materials data acquisition module realizes efficient and accurate building materials performance data collection and processing. The data acquisition unit combines the manufacturer's building materials performance archives and advanced automated testing equipment to obtain key performance data in real time. Compared with traditional manual detection methods, automated equipment greatly improves the accuracy and efficiency of data collection, reduces human errors and workload. In addition, the data processing unit establishes a transmission channel with the manufacturer's archives through a dedicated API interface, ensuring real-time transmission and seamless connection of data, making the entire performance data collection, transmission and analysis process smoother and more efficient. Through the preprocessing of the collected data, the system further improves the reliability of the data, provides an accurate foundation for subsequent building materials performance evaluation and monitoring, and greatly optimizes the accuracy and real-time performance of building materials quality management. The implementation of this module ensures comprehensive monitoring of building materials performance and provides solid data support for subsequent fatigue analysis and structural evaluation.

[0026] Example 3 This embodiment is explained in Example 2. Please refer to Figure 1 ,Specifically: the building material analysis module includes a building material performance analysis unit and a comprehensive physical construction analysis unit; The building material performance analysis unit is used to perform crack extension analysis, stress distribution analysis and pore structure analysis based on the acquired physical index data group, and respectively summarize and calculate to obtain the microcrack extension index lwk, the local stress distribution index qxb and the pore structure change index kxb. The specific calculation formula is as follows; The microcrack extension index lwk is obtained by the following formula: ; In the formula, represents the viscosity coefficient of ultrasound, and cs represents the propagation speed of ultrasound; The local stress distribution index qxb is obtained by the following formula: ; In the formula, yl maxIndicates the maximum stress that building materials can withstand under standard conditions, obtained through the manufacturer's building materials laboratory test report, L z represents the total length of the building material, k1 represents the constant coefficient of the building material, which is used to adjust the nonlinear behavior of the building material during the stress process, and k2 represents the correction constant for the influence of the nonlinear stress distribution of the building material; The pore structure change index kxb is obtained by the following formula: ; Where kx0 represents the initial porosity of the building material, θ represents the X-ray diffraction angle, qf represents the yield strength of the building material, which is obtained through the manufacturer's building material laboratory test report, and bc represents the X-ray wavelength.

[0027] The comprehensive physical construction analysis unit includes a physical construction performance analysis unit and a physical construction performance evaluation unit; The physical construction performance analysis unit is used to perform summary calculations based on the microcrack extension index lwk, the local stress distribution index qxb and the pore structure change index kxb to obtain the building material physical component performance index sii; The building material physical component performance index sii is obtained by the following formula: ; Wherein, q1, q2 and q3 represent the weight coefficients of microcrack extension index lwk, local stress distribution index qxb and pore structure change index kxb respectively, and 0<q1<1, 0<q2<1, 0<q3<1, and the specific values ​​are set by the user.

[0028] The physical construction performance evaluation unit is used to preset the structural performance health threshold A according to the quality standards of the building materials industry, and to evaluate the building material performance with the acquired building material physical component performance index sii. The specific evaluation scheme is as follows; When the building material physical component performance index sii> structural performance health threshold A, the building material performance is qualified, and the building material fatigue aging analysis is performed; When the physical component performance index sii of building materials is less than or equal to the structural performance health threshold A, the building material performance is unqualified. At this time, structural risk warning information is generated and transmitted to the user-end equipment of relevant personnel through the communication network to notify them to repair and replace the building materials.

[0029] In this embodiment, the building material analysis module summarizes and calculates the acquired physical indicator data group, and obtains the calculation of the microcrack extension index lwk, the local stress distribution index qxb and the pore structure change index kxb respectively, providing a multi-dimensional performance evaluation for building materials. These indexes can deeply analyze the performance of building materials under different stress and environmental conditions. In particular, the comprehensive consideration of microcrack extension, local stress and pore structure changes can identify potential quality problems at an early stage and provide a basis for subsequent maintenance decisions. At the same time, these indexes are weighted and summarized by the comprehensive physical construction analysis unit to obtain the building material physical component performance index sii, which provides a quantitative standard for the overall health status of building materials. When the building material physical component performance index sii exceeds the preset structural performance health threshold A, it indicates that the building material performance is qualified; if the building material physical component performance index sii is less than or equal to the preset structural performance health threshold A, it indicates that the building material performance fails to meet the standard, then a risk warning is triggered and necessary repair measures are taken. This assessment process not only improves the real-time monitoring capabilities of building materials performance, but also optimizes quality warnings and repair decisions, ensuring the safety and durability of building materials in use, thereby significantly reducing potential risks caused by material quality problems during the construction process.

[0030] Example 4 This embodiment is explained in Example 3, please refer to Figure 1 , specifically: the attenuation degradation analysis module includes a degradation data acquisition unit and a degradation analysis unit; The degradation data acquisition unit is used to perform fatigue aging analysis of building materials when the building material performance is evaluated as qualified; The building material fatigue aging analysis is used to collect the degradation data of building materials based on the sensor groups installed at various locations of the building materials and the manufacturer's building material performance files, and transmit the real-time degradation data to the building material data analysis platform through the communication network for preprocessing to obtain the fatigue data group; The sensor group includes an optical fiber strain sensor, an accelerometer, an infrared sensor, a humidity sensor and an ultrasonic sensor; The optical fiber strain sensor is used to collect the stress amplitude yf; The accelerometer is used to collect the load frequency hp; Humidity sensors are used to collect building material humidity sd; The building material hardness cy is directly extracted from the manufacturer's building material performance files; The preprocessing includes missing value processing, outlier detection, data alignment, denoising, dimensionless processing, temperature change rate analysis and residual stress analysis; The temperature change rate analysis is performed by analyzing the temperature T collected in real time by the infrared sensor to obtain the temperature change rate ∆T, specifically: , where T(t1) and T(t2) represent the temperature values ​​at time t1 and time t2 respectively, and t1 and t2 represent time variables; The residual stress analysis obtains the residual stress yc of the building material by calculating the sound velocity C emitted by the ultrasonic sensor, which represents the internal stress that cannot be completely eliminated after the building material experiences external loads, specifically: , where C0 represents the ultrasonic wave propagation velocity of the material in the stress-free state, and α represents the material constant, which is obtained through the manufacturer's building materials laboratory test report and reflects the sensitivity of the material to the change in the sound wave propagation velocity when it is stressed; The fatigue data set includes stress amplitude yf, load frequency hp, building material moisture sd, building material hardness cy, temperature change rate ∆T and residual stress yc.

[0031] The degradation analysis unit is used to perform summary calculation based on the acquired fatigue data group to obtain the building material attenuation degradation index mfd; The building material attenuation degradation index mfd is obtained by the following formula: ; In the formula, yl max It represents the maximum stress that building materials can withstand under standard conditions, ln represents the logarithmic function, hp ref Represents the reference load frequency, which is used to measure the effect of load frequency on fatigue.

[0032] In this embodiment, the attenuation degradation analysis module collects the degradation data of building materials by combining multiple sensor groups and the manufacturer's building material performance archives, thereby realizing accurate monitoring and analysis of fatigue aging of building materials. The degradation data is transmitted to the building material data analysis platform through the communication network, and a series of complex preprocessing is carried out, such as missing value processing, data alignment, temperature change rate analysis and residual stress analysis. The introduction of temperature change rate analysis and residual stress analysis further improves the comprehensiveness and accuracy of the analysis, can reveal the slight changes in building materials in actual use, help identify potential fatigue and degradation problems, and ensure the accuracy and reliability of the data. Through the summary calculation of these data, the system can obtain the building material attenuation degradation index mfd, thereby accurately evaluating the degree of fatigue decline of building materials in long-term use. Compared with the traditional static detection method, this module not only provides real-time and dynamic monitoring capabilities, but also can conduct detailed analysis of the impact of different environmental factors on building materials, improve the accuracy of building material life prediction and the refinement level of risk assessment, and provide strong data support for preventive maintenance and structural optimization in engineering projects.

[0033] Example 5 This embodiment is explained in Example 4. Please refer to Figure 1,Specifically: the comprehensive fatigue analysis module includes a fatigue durability analysis unit and a durability performance evaluation unit; The fatigue durability analysis unit is used to perform summary calculation based on the acquired building material physical component performance index sii and building material attenuation degradation index mfd to obtain a comprehensive fatigue durability index fdc; The comprehensive fatigue durability index fdc is obtained by the following formula: ; In the formula, ln represents the logarithmic function, It represents the complex interaction between the physical properties and attenuation of building materials under the influence of the external environment. It reflects the nonlinear relationship between the physical component performance index SII of building materials and the attenuation degradation index MFD of building materials, and smoothly adjusts the comprehensive performance index of building materials.

[0034] The durability performance evaluation unit is used to preset the fatigue damage attenuation threshold B according to the service life standard of building materials designed for construction projects, and to evaluate the durability of building materials with the obtained comprehensive fatigue durability index fdc. The specific evaluation scheme is as follows; When the comprehensive fatigue durability index fdc> fatigue damage attenuation threshold B, the durability of the building material meets the standard and maintains normal monitoring; When the comprehensive fatigue durability index fdc ≤ fatigue damage attenuation threshold B, the durability performance of building materials does not meet the standards. At this time, durability risk warning information is generated and transmitted to the user-end equipment of relevant personnel through the communication network to notify them to replace the building materials.

[0035] In this embodiment, the comprehensive fatigue analysis module provides a comprehensive evaluation of the long-term durability of building materials through the collaborative work of the fatigue durability analysis unit and the durability performance evaluation unit. The fatigue durability analysis unit calculates the comprehensive fatigue durability index FDC based on the building material physical component performance index SII and the building material attenuation degradation index MFD, reflecting the complex interaction between the physical properties and attenuation of building materials under the influence of the external environment, and smoothly adjusts the comprehensive performance index of building materials through a logarithmic function. Compared with the traditional single fatigue evaluation method, the comprehensive fatigue durability index can comprehensively consider the different environmental factors and attenuation effects of building materials in long-term use, and provide a more comprehensive and accurate performance prediction. In addition, the durability performance evaluation unit presets the fatigue damage attenuation threshold B based on the design building material service life standard of the construction project, and evaluates it with the comprehensive fatigue durability index FDC. In this way, when the durability of building materials does not meet the standard, the system can generate durability risk warning information in advance and promptly notify relevant personnel to replace building materials, avoiding safety hazards caused by fatigue aging of building materials. This module greatly improves the safety and reliability of building materials in long-term use and ensures the sustainability of project quality.

[0036] Example 6 This embodiment is explained in Example 1, please refer to Figure 1 , specifically: the traceability management module includes a batch management unit and a tracking and tracing unit; The batch management unit is used to record the production information, laboratory test report and transportation status of each batch according to the manufacturer's building material performance files, and to systematically archive the analysis results of the building material data analysis platform. During the use of building materials, construction personnel will scan the QR code and bar code of the building materials, and the building material data analysis platform will automatically record the use location, construction time and use status of the building materials; The tracking and tracing unit is used to locate the building materials with quality problems based on the usage locations of the building materials recorded by the building materials data analysis platform after quality problems occur. Secondly, based on the unique batch number assigned to each building material by the manufacturer during production, the batch number is used to trace the production, transportation, supplier, laboratory test report and transportation links of the building materials. Finally, the building materials data analysis platform generates quality traceability information and transmits it to the user-end devices of relevant personnel through the communication network.

[0037] In this embodiment, the traceability management module realizes the accurate tracking and management of the whole life cycle of building materials through the collaborative work of the batch management unit and the tracking and tracing unit, and significantly improves the efficiency of quality control and problem solving. The batch management unit records the production information, laboratory test report and transportation status of each batch, and automatically records the use location, construction time and status of the building materials by scanning the QR code or barcode. This process enables the circulation information of building materials to be tracked in real time, ensuring that each batch of building materials can be traced from production to use. Especially when quality problems occur, the tracking and tracing unit can quickly locate the problem building materials through the records of the building materials data analysis platform, and trace them back to their production, transportation, suppliers and other links according to the unique batch number. Compared with traditional quality control methods, the system not only improves the transparency and accuracy of information, but also shortens the time for problem response and resolution, greatly enhancing the real-time and refinement level of quality management. This efficient traceability function ensures that quality problems can be quickly located and resolved, thereby reducing potential risks and ensuring the overall quality and safety of the project.

[0038] 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. A building material quality management and control system for smart construction sites, characterized by: It includes building material data acquisition module, building material analysis module, attenuation and degradation analysis module, comprehensive fatigue analysis module and traceability management module; The building material data acquisition module is used to collect the performance data of building materials based on the manufacturer's building material performance files and automated testing equipment, and to build a building material data analysis platform to pre-process the performance data and obtain a physical index data group; The building material analysis module is used to perform crack propagation analysis, stress distribution analysis and pore structure analysis based on the physical index data group, and to perform fitting based on the analysis results to obtain the building material physical component performance index SII for building material performance evaluation; The attenuation degradation analysis module is used to collect the degradation data of the building materials through the sensor group and the manufacturer's building material performance archive when the building material performance is evaluated as qualified, and pre-process it through the building material data analysis platform to obtain the fatigue data group, and then calculate the building material attenuation degradation index mfd based on the fatigue data group; The comprehensive fatigue analysis module is used to perform summary calculations based on the building material physical component performance index SII and the building material attenuation degradation index MFD to obtain the comprehensive fatigue durability index FDC for building material durability performance evaluation; The traceability management module is used to record and archive the production information, laboratory test reports, transportation status and analysis results of the building materials data analysis platform for each batch, and trace the building materials with quality problems.

2. According to the smart construction site-oriented building material quality management and control system of claim 1, it is characterized by: The building material data acquisition module includes a data acquisition unit and a data processing unit; The data acquisition unit is used to collect performance data of building materials based on the manufacturer's building material performance files and automated testing equipment; The automated detection equipment includes an ultrasonic sensor and an X-ray generator; The data processing unit is used to construct a building materials data analysis platform, and establish a transmission channel with the manufacturer's building materials performance archive through a dedicated API interface, and then establish a transmission channel with the automated testing equipment through a communication network, and transmit the real-time acquired performance data to the building materials data analysis platform for preprocessing to obtain a physical index data group of the building materials; The preprocessing includes missing value processing, outlier detection, data alignment, denoising and dimensionless processing; The physical indicator data group includes crack length lc, building material density md, building material cross-sectional area mj, effective stress-bearing area length L and building material porosity kx.

3. According to the smart construction site-oriented building material quality management and control system of claim 2, it is characterized by: The building material analysis module includes a building material performance analysis unit and a comprehensive physical construction analysis unit; The building material performance analysis unit is used to perform crack extension analysis, stress distribution analysis and pore structure analysis based on the acquired physical index data group, and respectively summarize and calculate to obtain the microcrack extension index lwk, the local stress distribution index qxb and the pore structure change index kxb. The specific calculation formula is as follows; The microcrack extension index lwk is obtained by the following formula: ； In the formula, represents the viscosity coefficient of ultrasound, and cs represents the propagation speed of ultrasound; The local stress distribution index qxb is obtained by the following formula: ； In the formula, yl max Indicates the maximum stress that building materials can withstand under standard conditions, L z represents the total length of the building material, k1 represents the constant coefficient of the building material, and k2 represents the correction constant for the influence of nonlinear stress distribution of the building material; The pore structure change index kxb is obtained by the following formula: ； Where kx0 represents the initial porosity of the building material, θ represents the X-ray diffraction angle, qf represents the yield strength of the building material, and bc represents the X-ray wavelength.

4. The building material quality management and control system for smart construction sites according to claim 3 is characterized by: The comprehensive physical construction analysis unit includes a physical construction performance analysis unit and a physical construction performance evaluation unit; The physical construction performance analysis unit is used to perform summary calculations based on the microcrack extension index lwk, the local stress distribution index qxb and the pore structure change index kxb to obtain the building material physical component performance index sii; The building material physical component performance index sii is obtained by the following formula: ； Wherein, q1, q2 and q3 represent the weight coefficients of microcrack extension index lwk, local stress distribution index qxb and pore structure change index kxb respectively, and 0<q1<1, 0<q2<1, 0<q3<1, and the specific values ​​are set by the user.

5. The building material quality management and control system for smart construction sites according to claim 4 is characterized by: The physical construction performance evaluation unit is used to preset the structural performance health threshold A according to the quality standards of the building materials industry, and to evaluate the building material performance with the acquired building material physical component performance index sii. The specific evaluation scheme is as follows; When the building material physical component performance index sii> structural performance health threshold A, the building material performance is qualified, and the building material fatigue aging analysis is performed; When the physical component performance index sii of building materials is less than or equal to the structural performance health threshold A, the building material performance is unqualified. At this time, structural risk warning information is generated and transmitted to the user-end equipment of relevant personnel through the communication network to notify them to repair and replace the building materials.

6. The building material quality management and control system for smart construction sites according to claim 5 is characterized by: The attenuation degradation analysis module includes a degradation data acquisition unit and a degradation analysis unit; The degradation data acquisition unit is used to perform fatigue aging analysis of building materials when the building material performance is evaluated as qualified; The building material fatigue aging analysis is used to collect the degradation data of building materials based on the sensor groups installed at various locations of the building materials and the manufacturer's building material performance files, and transmit the real-time degradation data to the building material data analysis platform through the communication network for preprocessing to obtain the fatigue data group; The sensor group includes an optical fiber strain sensor, an accelerometer, an infrared sensor, a humidity sensor and an ultrasonic sensor; The preprocessing includes missing value processing, outlier detection, data alignment, denoising, dimensionless processing, temperature change rate analysis and residual stress analysis; The temperature change rate analysis is performed by analyzing the temperature T collected in real time by the infrared sensor to obtain the temperature change rate ∆T, specifically: , where T(t1) and T(t2) represent the temperature values ​​at time t1 and time t2 respectively, and t1 and t2 represent time variables; The residual stress analysis obtains the residual stress yc of the building material by calculating the sound velocity C emitted by the ultrasonic sensor, specifically: , where C0 represents the ultrasonic propagation velocity of the material in the stress-free state, and α represents the material constant; The fatigue data set includes stress amplitude yf, load frequency hp, building material moisture sd, building material hardness cy, temperature change rate ∆T and residual stress yc.

7. The building material quality management and control system for smart construction sites according to claim 6 is characterized by: The degradation analysis unit is used to perform summary calculation based on the acquired fatigue data group to obtain the building material attenuation degradation index mfd; The building material attenuation degradation index mfd is obtained by the following formula: ； In the formula, yl max It represents the maximum stress that building materials can withstand under standard conditions, ln represents the logarithmic function, hp ref Indicates the base load frequency.

8. The building material quality management and control system for smart construction sites according to claim 7 is characterized by: The comprehensive fatigue analysis module includes a fatigue durability analysis unit and a durability performance evaluation unit; The fatigue durability analysis unit is used to perform summary calculation based on the acquired building material physical component performance index sii and building material attenuation degradation index mfd to obtain a comprehensive fatigue durability index fdc; The comprehensive fatigue durability index fdc is obtained by the following formula: ； Wherein, ln represents the logarithmic function.

9. The building material quality management and control system for smart construction sites according to claim 8, characterized in that: The durability performance evaluation unit is used to preset the fatigue damage attenuation threshold B according to the service life standard of building materials designed for construction projects, and to evaluate the durability of building materials with the obtained comprehensive fatigue durability index fdc. The specific evaluation scheme is as follows; When the comprehensive fatigue durability index fdc> fatigue damage attenuation threshold B, the durability of the building material meets the standard and maintains normal monitoring; When the comprehensive fatigue durability index fdc ≤ fatigue damage attenuation threshold B, the durability performance of building materials does not meet the standards. At this time, durability risk warning information is generated and transmitted to the user-end equipment of relevant personnel through the communication network to notify them to replace the building materials.

10. The building material quality management and control system for smart construction sites according to claim 1, characterized in that: The traceability management module includes a batch management unit and a tracking and tracing unit; The batch management unit is used to record the production information, laboratory test report and transportation status of each batch according to the manufacturer's building material performance files, and to systematically archive the analysis results of the building material data analysis platform. During the use of building materials, construction personnel will scan the QR code and bar code of the building materials, and the building material data analysis platform will automatically record the use location, construction time and use status of the building materials; The tracking and tracing unit is used to locate the building materials with quality problems based on the usage locations of the building materials recorded by the building materials data analysis platform after quality problems occur. Secondly, based on the unique batch number assigned to each building material by the manufacturer during production, the batch number is used to trace the production, transportation, supplier, laboratory test report and transportation links of the building materials. Finally, the building materials data analysis platform generates quality traceability information and transmits it to the user-end devices of relevant personnel through the communication network.

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