Composite plate adhesive anchor construction quality real-time control system and method based on stress monitoring
By using digital twin models and sensor networks to monitor the bonding and anchoring quality of composite panels in real time, the problem of low efficiency in construction quality control in existing technologies has been solved, and efficient and accurate construction quality control has been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUNAN HENGZHOU CONSTR CO LTD
- Filing Date
- 2026-02-08
- Publication Date
- 2026-06-05
AI Technical Summary
Existing methods for real-time quality control of composite plate bonding and anchoring construction based on stress monitoring rely on manual spot checks and post-construction pull-out tests, which are characterized by lag, localization, and destructiveness, resulting in low efficiency in construction quality control.
A real-time control system and method for composite plate bonding and anchoring construction quality based on stress monitoring is adopted. Through digital twin models, sensor detection networks and blockchain technology, the system monitors the quality of the base layer, construction risks and stress information in real time, and achieves multi-dimensional quality control.
It improves the efficiency and pass rate of composite panel bonding and anchoring construction, enhances the real-time nature and accuracy of the construction process, and reduces manual intervention and material waste.
Smart Images
Figure CN122154415A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of adhesive anchor construction technology, and in particular to a real-time control system and method for the construction quality of composite plate adhesive anchor based on stress monitoring. Background Technology
[0002] Currently, stress monitoring refers to the technical means of real-time monitoring of stress changes inside buildings or structures using equipment such as strain gauges and stress sensors. It is mainly applied to steel structure installation during the construction phase, concrete pouring, and structural safety assessment during operation and maintenance. Composite panels are panels made of two or more materials, possessing excellent strength, lightweight, and corrosion resistance. The adhesive-anchor combination construction process is a combination of bonding and anchoring, a method of bonding steel bars into concrete, which can improve the load-bearing capacity and seismic performance of concrete structures. Therefore, real-time control of the adhesive-anchor construction quality of composite panels is crucial.
[0003] Existing methods for real-time quality control of composite panel bonding and anchoring construction based on stress monitoring involve sampling the project site, conducting bond strength pull-out tests, and performing on-site pull-out tests on the anchors to verify whether their actual tensile bearing capacity meets the standards. Traditional methods for monitoring the quality of composite panel bonding and anchoring construction based on stress monitoring mainly rely on manual sampling and post-construction pull-out tests, which are characterized by lag, localization, and destructiveness, resulting in low efficiency in real-time quality control of composite panel bonding and anchoring construction and thus require improvement. Summary of the Invention
[0004] To improve the efficiency of real-time control of composite plate bonding and anchoring construction quality based on stress monitoring, this invention provides a real-time control system and method for composite plate bonding and anchoring construction quality based on stress monitoring.
[0005] In a first aspect, the real-time control method for the construction quality of composite plate bonding and anchoring based on stress monitoring provided by the present invention adopts the following technical solution: A real-time quality control method for composite plate bonding and anchoring construction based on stress monitoring includes the following steps: Step S1: Before the composite panel bonding and anchoring construction, check and determine whether the base layer and bonding and anchoring materials meet the bonding and anchoring construction conditions. If they do not meet the conditions, make adjustments until they meet the conditions. Then, output the preliminary preparation completion signal and simultaneously create a digital twin model of bonding and anchoring construction. Step S2: Based on the base material and the size of the composite board, the base interface is divided into regions to obtain the region division results; Step S3: Analyze the base quality of each area based on the base strength and flatness to obtain the regional base quality coefficient. Analyze the wind load and structural stress of each area based on the structural design of the base interface to determine the load stress risk level of each area and obtain the regional load stress risk coefficient. Combine the regional base quality coefficient and the regional load stress risk coefficient to determine the bonding and anchoring construction risk of each area of the base and obtain the regional bonding and anchoring construction risk coefficient. Step S4: Compare the regional anchoring construction risk coefficient with the preset anchoring construction risk comparison information, determine the anchoring construction risk of each area of the base interface and divide it to obtain the construction risk zoning result, obtain the regional sensor deployment density information based on the construction risk zoning result, install and deploy the sensor units to form a sensor detection network, and record the sensor unit coordinate information of each sensor node. Step S5: Based on the sensor detection network, the stress during the bonding and anchoring construction of the composite plate is monitored in real time to obtain the bonding and anchoring stress information. Based on the bonding and anchoring stress information, it is determined whether there is any abnormality in the bonding and anchoring construction. If there is an abnormality, it is marked as a bonding and anchoring construction abnormality point and the bonding and anchoring construction abnormality information is recorded. The bonding and anchoring construction abnormality point is displayed and marked on the bonding and anchoring construction digital twin model. Step S6: Send the abnormal information of the anchor bonding construction and the digital twin model of the anchor bonding construction to the background monitoring system and upload them to the blockchain system.
[0006] Preferably, the base layer is photographed from multiple angles using a high-definition camera to obtain image information of the base layer, and a digital twin model of the adhesive anchor construction is created based on the image information of the base layer. Obtain a base-level anomaly image library, which includes image samples of different types of dirt and different types of defects; The image information of the base layer is compared with the base layer anomaly image library to determine whether there is dirt or defects in the base layer. If there is dirt, the base layer dirt information is recorded and a base layer dirt alarm signal is output. The base layer dirt information includes base layer dirt type information and base layer dirt coordinate information. If there are defects, the base layer defect information is recorded and a base layer defect alarm signal is output. The base layer defect information includes base layer defect type information and base layer defect coordinate information. The information on dirt and grime at the base level is combined with the information on defects at the base level to form information on dirt, grime, defects, and anomalies. Upon receiving a dirt alarm signal from the base layer, the system cleans the base layer surface with dirt based on the base layer dirt type information and base layer dirt coordinate information. After cleaning is completed, a first-class base layer preparation completion signal is output. Upon receiving a base layer defect alarm signal, the base layer surface with defects is repaired based on the base layer defect type information and base layer defect coordinate information. After the repair is completed, a second type of base layer preparation completion signal is output. A pull-out test is performed on the base layer to evaluate its bonding strength and obtain its strength information. The base layer strength information is then compared with a preset base layer strength threshold. If the base layer strength information is higher than the preset base layer strength threshold, it is determined that the base layer strength meets the conditions for adhesive anchoring construction, and a signal indicating that the third type of base layer is ready to be completed is output. Use a straightedge to press against the base surface and measure the size of the gap between the straightedge and the base surface to obtain the flatness gap value information. Compare the flatness gap value information with the preset flatness gap threshold. If the flatness gap value information is less than the preset flatness gap threshold, it is determined that the flatness of the base surface meets the conditions for adhesive anchoring construction, and the fourth type of base preparation completion signal is output. Upon receiving the first type of base preparation completion signal, the second type of base preparation completion signal, the third type of base preparation completion signal, and the fourth type of base preparation completion signal, the base quality preparation completion signal is output.
[0007] Preferably, an anchor bonding construction preparation material pool and an anchor bonding material qualification standard database are obtained, wherein the anchor bonding construction preparation material pool includes composite board, bonding mortar and anchor fasteners; The quality of the anchor bonding construction preparation material pool is inspected and compared with the anchor bonding material qualification standard database. Materials that do not meet the standards in the anchor bonding construction preparation material pool are screened and removed. Materials that meet the standards in the anchor bonding construction preparation material pool are screened, retained and marked as qualified anchor bonding materials. After completion, the anchor bonding material screening completion signal is output. Upon receiving the signal that the base layer quality preparation is complete and the signal that the anchoring material screening is complete, it is determined that both the base layer and the anchoring material meet the conditions for anchoring construction, and the signal that the preliminary preparation is complete is output.
[0008] Preferably, the base material information is obtained, and the base interface is initially divided into regions based on the base material information to obtain the initial region division result; Obtain basic information about the composite board, including composite board type information, composite board size information, and composite board thickness information; Based on the composite panel size information, the composite panels are arranged sequentially on the base interface to obtain composite panel layout planning information; Based on the composite board layout planning information, the base interface in the preliminary area division results is further divided into areas to obtain the base area division results. The results of the base area division are displayed and marked on the digital twin model of the adhesive anchor construction.
[0009] Preferably, the flatness of each region in the base layer region division result is obtained based on the flatness gap numerical information. Based on the base strength information, the bonding strength of each region in the base area division results is statistically analyzed to obtain the regional base strength; Based on the dynamic weighted fusion algorithm, the quality of the base layer in each region is judged by combining the regional base layer flatness and regional base layer strength, and the regional base layer quality coefficient is obtained. Based on the structural design of the base interface, the wind load of each area of the base is determined to obtain the regional wind load. Based on the structural design of the base interface, the structural stress in each region of the base is determined, and the regional stress is obtained. Based on the dynamic weighted fusion algorithm, combined with regional wind load and regional stress, the load stress risk level of each region of the base interface is judged, and the regional load stress risk coefficient is obtained. Based on the dynamic weighted fusion algorithm, combined with the regional base quality coefficient and the regional load stress risk coefficient, the risk of adhesive anchoring construction in each region of the base is determined, and the regional adhesive anchoring construction risk coefficient is obtained. The risk coefficient of the regional anchoring construction is displayed and marked on the digital twin model of the anchoring construction.
[0010] Preferably, the risk comparison information of the anchor bonding construction is obtained, wherein the risk comparison value of the anchor bonding construction includes a first risk comparison value of the anchor bonding construction and a second risk comparison value of the anchor bonding construction, wherein the first risk comparison value of the anchor bonding construction is greater than the second risk comparison value of the anchor bonding construction. The risk coefficient of regional anchoring construction is determined and compared with the preset first anchoring construction risk comparison value. If the risk coefficient of regional anchoring construction is greater than or equal to the first anchoring construction risk comparison value, the region is determined to be a high-risk region. If the risk coefficient of regional anchoring construction is less than the first anchoring construction risk comparison value, then the regional anchoring construction risk coefficient is compared with the preset second anchoring construction risk comparison value. If the regional anchoring construction risk coefficient is greater than or equal to the second anchoring construction risk comparison value, then the region is determined to be a medium-risk region. If the risk coefficient of regional adhesive anchoring construction is less than the risk comparison value of the second adhesive anchoring construction, then the region is determined to be a low-risk region. The high-risk area, the medium-risk area, and the low-risk area are combined to form the construction risk zoning result, and the construction risk zoning result is displayed and marked on the digital twin model of the adhesive anchor construction. Based on the construction risk zoning results, the deployment density of sensor units in each area is analyzed to obtain regional sensor deployment density information. Based on the regional sensor deployment density information, sensor units in each region are installed and deployed during the composite panel bonding and anchoring construction to form a sensor detection network, and the sensor unit coordinate information of each sensor node in the sensor detection network is recorded; the sensor unit coordinate information is displayed and marked on the digital twin model of the bonding and anchoring construction.
[0011] Preferably, the sensing unit includes a fiber Bragg grating sensor and a smart anchor bolt; Based on the fiber optic grating sensors deployed in each region, multiple bonding stress information is obtained by real-time monitoring of the bonding stress at each bonding sensing node. The bonding stress information of each bonding sensing node is detected to determine whether a sudden change has occurred. If a sudden change occurs, the first bonding stress abnormality signal is output and marked as the first type of bonding abnormality point. The bonding stress information of each bonding sensing node is compared with the preset bonding stress threshold. If the bonding stress information exceeds the preset bonding stress threshold, it is determined to be a second type of bonding anomaly. The first type of bonding anomaly point and the second type of bonding anomaly point combine to form a bonding stress anomaly point, and the bonding anomaly information is recorded; Based on the real-time monitoring of the anchoring stress of each anchoring sensor node by the smart anchors deployed in each area, the anchoring stress information is obtained. The bonding stress information and the anchoring stress information are combined to form bonding anchoring stress information. The anchoring stress information of each anchoring sensing node is compared with the preset anchoring stress threshold. If the anchoring stress information exceeds the preset anchoring stress threshold, it is determined to be an anchoring stress anomaly point, and the anchoring anomaly information is recorded. The bonding stress anomaly point and the anchoring stress anomaly point are combined to form the bonding anchor construction anomaly point, and the bonding anchor construction anomaly point is displayed and marked in real time on the bonding anchor construction digital twin model; The bonding anomaly information and the anchoring anomaly information are combined to form the bonding anchoring construction anomaly information.
[0012] Preferably, a wireless communication module is acquired and a signal connection link is established between the wireless communication module and the sensing network; Based on the wireless communication module, the abnormal information of the anchoring construction and the digital twin model of the anchoring construction are sent to the background monitoring system. The abnormal information of the anchor bonding construction and the digital twin model of the anchor bonding construction are uploaded to the blockchain system in real time.
[0013] Secondly, this invention provides a real-time control system for the construction quality of composite plate bonding and anchoring based on stress monitoring, employing the following technical solution: A real-time control system for the construction quality of composite plate bonding and anchoring based on stress monitoring includes: The basic quality control module is configured to detect and determine whether the base layer and the bonding and anchoring materials meet the bonding and anchoring construction conditions before the composite panel bonding and anchoring construction is carried out. If they do not meet the conditions, adjustments are made until they meet the conditions. Then, a signal indicating that the preliminary preparation is complete is output, and a digital twin model of the bonding and anchoring construction is created simultaneously. The region division module is configured to divide the base interface into regions based on the base material and the size of the composite board to obtain the region division results. The regional construction risk perception module is configured to analyze the quality of the base layer in each region based on the base layer strength and flatness to obtain the regional base layer quality coefficient; analyze the wind load and structural stress in each region based on the structural design of the base layer interface to determine the load stress risk level in each region to obtain the regional load stress risk coefficient; and combine the regional base layer quality coefficient and the regional load stress risk coefficient to determine the bonding and anchoring construction risk in each region of the base layer to obtain the regional bonding and anchoring construction risk coefficient. The sensor deployment module is configured to compare the regional anchoring construction risk coefficient with the preset anchoring construction risk comparison information, determine the anchoring construction risk of each area of the base interface and divide it to obtain the construction risk zoning result, obtain the regional sensor deployment density information based on the construction risk zoning result, install and deploy the sensor units to form a sensor detection network, and record the sensor unit coordinate information of each sensor node. The real-time quality monitoring module is configured to monitor the stress in the composite plate bonding and anchoring construction in real time based on the sensor detection network to obtain bonding and anchoring stress information. Based on the bonding and anchoring stress information, it determines whether there is any abnormality in the bonding and anchoring construction. If there is an abnormality, it marks it as a bonding and anchoring construction abnormality point and records the bonding and anchoring construction abnormality information. The bonding and anchoring construction abnormality point is displayed and marked on the bonding and anchoring construction digital twin model. The communication storage module is configured to send the abnormal information of the anchoring construction and the digital twin model of the anchoring construction to the background monitoring system and upload it to the blockchain system.
[0014] In summary, the present invention has at least one of the following beneficial technical effects: By monitoring the dirt, defects, bonding strength, and flatness of the substrate, the quality of the substrate is judged from multiple dimensions. If it is not up to standard, adjustments are made, which greatly improves the quality of the substrate before the bonding and anchoring construction, thereby greatly improving the pass rate of composite board bonding and anchoring construction and increasing the efficiency of composite board bonding and anchoring construction. By inspecting the quality of bonding and anchoring construction materials, materials that meet the standards are selected and retained, which greatly improves the quality of bonding and anchoring construction materials before the bonding and anchoring construction, thereby greatly improving the pass rate of composite board bonding and anchoring construction and further improving the efficiency of composite board bonding and anchoring construction. By utilizing the base material and the dimensions of the composite panels used for bonding and anchoring, the base interface is divided into regions, providing a basis for the deployment of sensor units to monitor the quality of subsequent bonding and anchoring construction. The base quality of each region is assessed by evaluating its flatness and bonding strength, resulting in a regional base quality coefficient, which improves the accuracy of regional base quality coefficient detection. External load stress risk is assessed by evaluating wind load and structural stress in each region, resulting in a regional load stress risk coefficient, which also improves the accuracy of regional load stress risk coefficient detection. Combining the regional base quality coefficient and the regional load stress risk coefficient yields a regional bonding and anchoring construction risk coefficient. This multi-dimensional analysis of bonding and anchoring construction risks in each region of the base interface improves the accuracy of detecting risks associated with bonding and anchoring composite panels in different areas of the base interface. Based on the regional bonding and anchoring construction risk coefficient, the sensor unit deployment in each region is analyzed to obtain regional sensor deployment density information. This information is then used to install and deploy sensor units in each region, providing a basis for real-time monitoring of the bonding and anchoring construction quality of composite panels, thereby improving the efficiency of real-time control of composite panel bonding and anchoring construction quality based on stress monitoring. Attached Figure Description
[0015] Figure 1 This embodiment mainly illustrates the process of real-time quality control method for composite plate bonding and anchoring construction based on stress monitoring; Figure 2 This embodiment mainly illustrates the module diagram of the real-time control method for the construction quality of composite plate bonding and anchoring based on stress monitoring.
[0016] Attached reference numerals: 1. Basic quality control module; 2. Area division module; 3. Area construction risk perception module; 4. Sensor deployment module; 5. Real-time quality monitoring module; 6. Communication and storage module. Detailed Implementation
[0017] The present invention will be further described in detail below with reference to the accompanying drawings.
[0018] This invention discloses a method for real-time control of the construction quality of composite plate bonding and anchoring based on stress monitoring.
[0019] A real-time quality control method for composite plate bonding and anchoring construction based on stress monitoring includes the following steps: Reference Figure 1 Step S1: Before performing the composite panel bonding and anchoring construction, check and determine whether the base layer and bonding and anchoring materials meet the bonding and anchoring construction conditions. If not, make adjustments until the conditions are met. Then, output a pre-preparation completion signal and simultaneously create a digital twin model of the bonding and anchoring construction. Step S1 specifically includes the following sub-steps: Step SA1: Take multi-angle photos of the base layer using a high-definition camera to obtain base layer image information, and create a digital twin model of the adhesive anchor construction based on the base layer image information.
[0020] Step SA2: Obtain the base layer anomaly image library, which includes image samples of different types of dirt and different types of defects.
[0021] Step SA3: Compare the image information captured on the base layer with the base layer anomaly database to determine whether there is dirt or defects on the base layer. If dirt is present, record the dirt information and output a dirt alarm signal. The dirt information includes the type of dirt and the coordinates of the dirt. If defects are present, record the defect information and output a defect alarm signal. The defect information includes the type of defect and the coordinates of the defect.
[0022] Step SA4: The information on dirt and grime at the base level is combined with the information on defects at the base level to form information on dirt, grime, defects and anomalies.
[0023] Step SA5: Upon receiving the base layer dirt alarm signal, clean the base layer surface with dirt based on the base layer dirt type information and base layer dirt coordinate information. After cleaning is completed, output the first type of base layer preparation completion signal.
[0024] Step SA6: Upon receiving the base layer defect alarm signal, repair the base layer surface with defects based on the base layer defect type information and base layer defect coordinate information. After the repair is completed, output the second type of base layer preparation completion signal.
[0025] Step SA7 involves performing a pull-out test on the substrate to assess its bond strength and obtain substrate strength information. This information is then compared to a preset substrate strength threshold. If the substrate strength is higher than the preset threshold, the substrate strength is deemed to meet the conditions for adhesive anchoring construction, and a third-type substrate preparation completion signal is output. It should be noted that the substrate strength threshold in this embodiment is set to 0.3 MPa.
[0026] Step SA8: Using a straightedge pressed firmly against the base surface, measure the gap between the straightedge and the base surface to obtain flatness gap information. Compare the flatness gap information with a preset flatness gap threshold. If the flatness gap information is less than the preset flatness gap threshold, it is determined that the flatness of the base surface meets the conditions for adhesive anchoring construction, and a fourth type of base preparation completion signal is output. It should be noted that the straightedge in this embodiment of the invention can be a two-meter straightedge, and the flatness gap threshold is set to a deviation of 4 millimeters per 2 meters.
[0027] Step SA9: After receiving the first type of base layer preparation completion signal, the second type of base layer preparation completion signal, the third type of base layer preparation completion signal, and the fourth type of base layer preparation completion signal, output the base layer quality preparation completion signal.
[0028] Step S1 further includes the following sub-steps: Step SB1: Obtain the anchor bonding construction preparation material pool and the anchor bonding material qualification standard database. The anchor bonding construction preparation material pool includes composite board, bonding mortar and anchor.
[0029] Step SB2 involves conducting a quality inspection of the anchor bonding construction preparation material pool and comparing it with the anchor bonding material qualification standard database. Materials that do not meet the standards in the anchor bonding construction preparation material pool are screened and removed. Materials that meet the standards in the anchor bonding construction preparation material pool are screened, retained, and marked as qualified anchor bonding materials. After completion, an anchor bonding material screening completion signal is output.
[0030] In practical applications, composite panels need to be checked for their specifications, dimensions, thickness, flatness, edge straightness, and the quality of the decorative surface layer (no color difference, no cracks), and the factory certificate of conformity and performance test report should be verified.
[0031] For bonding mortar, the product certificate, manufacturing date and shelf life must be checked. In the tensile bond strength test results, the original strength and water resistance strength must meet the JG / T 480 standard.
[0032] The specifications, model, and corrosion resistance of the anchors need to be checked, and the tensile bearing capacity test report and shear bearing capacity test report should be verified.
[0033] The database of qualified standards for adhesive anchoring materials includes standard values or ranges of various parameters for composite panels, adhesive mortar, and anchors.
[0034] The performance parameters of each material in the anchor bonding construction preparation material pool are compared with the standard values or standard ranges in the anchor bonding material qualification standard database. Incompatible materials are screened out and removed, while compatible materials are screened, retained, and marked as qualified anchor bonding materials.
[0035] Step SB3: After receiving the signal that the base layer quality preparation is complete and the signal that the anchoring material screening is complete, determine that both the base layer and the anchoring material meet the conditions for anchoring construction, and output the signal that the preliminary preparation is complete.
[0036] In practical applications, by monitoring the dirt, defects, bonding strength, and flatness of the substrate, the quality of the substrate is judged from multiple dimensions. If it is not up to standard, adjustments are made, which greatly improves the quality of the substrate before the bonding and anchoring construction, thereby greatly improving the pass rate of composite panel bonding and anchoring construction and increasing the efficiency of composite panel bonding and anchoring construction. By inspecting the quality of bonding and anchoring construction materials and selecting and retaining those that meet the standards, the quality of bonding and anchoring construction materials before the bonding and anchoring construction is greatly improved, which in turn greatly improves the pass rate of composite panel bonding and anchoring construction and further improves the efficiency of composite panel bonding and anchoring construction.
[0037] Reference Figure 1 Step S2 involves dividing the base interface into regions based on the base material and composite panel dimensions to obtain the region division results. Step S2 specifically includes the following sub-steps: Step S21: Obtain base material information, and based on the base material information, perform preliminary area division on the base interface to obtain preliminary area division results. That is, separate the base interfaces of different materials.
[0038] Step S22: Obtain basic information about the composite board, including composite board type information, composite board size information, and composite board thickness information.
[0039] Step S23: Based on the composite panel size information, arrange the composite panels sequentially on the base layer interface to obtain composite panel layout planning information.
[0040] Step S24: Based on the composite board layout planning information, further divide the base interface in the preliminary area division result to obtain the base area division result.
[0041] Step S25: Display and mark the results of the base area division on the digital twin model of the adhesive anchor construction.
[0042] Reference Figure 1 Step S3 involves analyzing the base layer quality of each area based on its strength and flatness to obtain a regional base layer quality coefficient. Then, based on the structural design of the base layer interface, it analyzes the wind load and structural stress of each area to determine the load stress risk level and obtain a regional load stress risk coefficient. Finally, it combines the regional base layer quality coefficient and the regional load stress risk coefficient to determine the bonding and anchoring construction risk in each area of the base layer and obtain a regional bonding and anchoring construction risk coefficient. Step S3 specifically includes the following sub-steps: Step S31: Based on the numerical information of flatness gaps, the flatness of each region in the base layer area division results is statistically analyzed to obtain the flatness of the regional base layer.
[0043] Step S32: Based on the base strength information, the bonding strength of each region in the base area division results is statistically analyzed to obtain the regional base strength.
[0044] Step S33: Based on the dynamic weighted fusion algorithm, combining the regional base layer flatness and regional base layer strength, the base layer quality of each region at the base layer interface is determined to obtain the regional base layer quality coefficient. Specifically, the higher the regional base layer flatness, the higher the regional base layer quality coefficient; the greater the regional base layer strength, the higher the regional base layer quality coefficient.
[0045] Step S34: Based on the structural design of the base interface, determine the wind load in each area of the base to obtain the regional wind load. In practical applications, the higher the building, the greater the wind load. The top floors and corner areas are the most significantly affected by wind suction and are where the bonding and anchoring bear the greatest tensile force.
[0046] Step S35: Based on the structural design of the base interface, determine the structural stress in each area of the base layer to obtain the regional stress. In practical applications, stress concentration occurs at the four corners of door and window openings, both sides of structural expansion joints, and abrupt changes in the facade of the base building. These areas have high regional stress, and the composite panels and adhesive anchoring systems are prone to abnormal deformation and stress, making them high-risk areas for failure.
[0047] Step S36: Based on the dynamic weighted fusion algorithm, combining regional wind load and regional stress, determine the load stress risk level of each region at the base interface, and obtain the regional load stress risk coefficient. Specifically, the greater the regional wind load, the higher the regional load stress risk coefficient; similarly, the greater the regional stress, the higher the regional load stress risk coefficient.
[0048] Step S37: Based on the dynamic weighted fusion algorithm, combining the regional base quality coefficient and the regional load stress risk coefficient, the bonding and anchoring construction risk of each region of the base is determined, and the regional bonding and anchoring construction risk coefficient is obtained. Specifically, the higher the regional base quality coefficient, the lower the regional bonding and anchoring construction risk coefficient; conversely, the higher the regional load stress risk coefficient, the higher the regional bonding and anchoring construction risk coefficient.
[0049] Step S38: Display and mark the regional anchoring construction risk coefficient on the digital twin model of anchoring construction.
[0050] Reference Figure 1 Step S4 involves comparing the regional anchoring construction risk coefficient with the preset anchoring construction risk comparison information to determine the anchoring construction risk of each area of the base interface and dividing it into construction risk zoning results. Based on the construction risk zoning results, the regional sensor deployment density information is obtained, and sensor units are installed and deployed to form a sensor detection network. The coordinate information of each sensor unit at each sensor node is recorded. Step S4 specifically includes the following sub-steps: Step S41: Obtain the anchor bonding construction risk comparison information. The anchor bonding construction risk comparison value includes a first anchor bonding construction risk comparison value and a second anchor bonding construction risk comparison value, wherein the first anchor bonding construction risk comparison value is greater than the second anchor bonding construction risk comparison value.
[0051] Step S42: The risk coefficient of regional anchoring construction is determined and compared with the preset first anchoring construction risk comparison value. If the risk coefficient of regional anchoring construction is greater than or equal to the first anchoring construction risk comparison value, the region is determined to be a high-risk region.
[0052] Step S43: If the regional anchoring construction risk coefficient is less than the first anchoring construction risk comparison value, then the regional anchoring construction risk coefficient is compared with the preset second anchoring construction risk comparison value. If the regional anchoring construction risk coefficient is greater than or equal to the second anchoring construction risk comparison value, then the region is determined to be a medium-risk region.
[0053] Step S44: If the risk coefficient of the regional anchoring construction is less than the second anchoring construction risk comparison value, then the region is determined to be a low-risk region.
[0054] Step S45: The high-risk area, medium-risk area and low-risk area are combined to form the construction risk zoning result, and the construction risk zoning result is displayed and marked on the digital twin model of the anchor bonding construction.
[0055] Step S46: Based on the construction risk zoning results, analyze the deployment density of sensor units in each area to obtain regional sensor deployment density information. Specifically, the sensor deployment density information is sorted from largest to smallest as follows: high-risk area, medium-risk area, and low-risk area.
[0056] Step S47: Based on the regional sensor deployment density information, sensor units are installed and deployed in each region during the composite panel bonding and anchoring construction to form a sensor detection network, and the sensor unit coordinate information of each sensor node in the sensor detection network is recorded. The sensor unit coordinate information is then displayed and marked on the digital twin model of the bonding and anchoring construction.
[0057] Reference Figure 1 Step S5 involves real-time monitoring of the stress during the composite panel bonding and anchoring construction using a sensor network to obtain bonding and anchoring stress information. Based on this stress information, it is determined whether any abnormalities have occurred during the bonding and anchoring construction. If an abnormality is found, it is marked as an abnormal point in the bonding and anchoring construction, and the abnormal information is recorded. This abnormal point is then displayed and marked on the digital twin model of the bonding and anchoring construction. Step S5 specifically includes the following sub-steps: Step S51, the sensing unit includes a fiber optic grating sensor and a smart anchor bolt.
[0058] In practical applications, fiber optic grating sensors are embedded in the bonding mortar layer in a specific manner. When the bonding mortar layer undergoes strain, the grating pitch in the fiber optic grating sensor changes, causing a shift in the center wavelength of its reflection. This allows for precise calculation of the bonding stress. Anchoring stress is concentrated on the anchor bolt or support, representing tensile / compressive / shear stress at a "point." The monitoring target is to directly measure the axial force or shear force of the anchor. Smart anchor bolts integrate a force sensing unit into standard mechanical or chemical anchor bolts, allowing for direct and accurate measurement of the actual force on the anchor bolt without complex calculations, providing intuitive and reliable data.
[0059] Step S52: Based on the fiber optic grating sensors deployed in each area, the bonding stress of each bonding sensing node is monitored in real time to obtain multiple bonding stress information.
[0060] Step S53: Detect the bonding stress information of each bonding sensing node to determine whether a sudden change has occurred. If a sudden change occurs, output the first bonding stress abnormality signal and mark it as the first type of bonding abnormality point.
[0061] Step S54: Compare the bonding stress information of each bonding sensing node with the preset bonding stress threshold. If the bonding stress information exceeds the preset bonding stress threshold, it is determined to be a second type of bonding anomaly point.
[0062] Step S55: The first type of bonding anomaly point and the second type of bonding anomaly point are combined to form a bonding stress anomaly point, and the bonding anomaly information is recorded. The bonding anomaly information includes the bonding anomaly coordinates and the bonding anomaly timestamp.
[0063] Step S56: Based on the real-time monitoring of the anchoring stress of each anchoring sensor node by the smart anchors deployed in each area, the anchoring stress information is obtained. The bond stress information and the anchoring stress information are combined to form bond-anchor stress information.
[0064] Step S57: Compare the anchorage stress information of each anchorage sensing node with a preset anchorage stress threshold. If the anchorage stress information exceeds the preset anchorage stress threshold, it is determined to be an anchorage stress anomaly point, and the anchorage anomaly information is recorded. The anchorage anomaly information includes the anchorage anomaly coordinates and the anchorage anomaly timestamp.
[0065] Step S58: The bonding stress anomaly point and the anchoring stress anomaly point are combined to form the bonding anchor construction anomaly point, and the bonding anchor construction anomaly point is displayed and marked in real time on the bonding anchor construction digital twin model.
[0066] Step S59: The bonding anomaly information and the anchoring anomaly information are combined to form the bonding anchoring construction anomaly information.
[0067] Reference Figure 1Step S6 involves sending the abnormal information regarding the anchor bonding construction and the digital twin model of the anchor bonding construction to the backend monitoring system and uploading it to the blockchain system. Step S6 specifically includes the following sub-steps: Step S61: Obtain the wireless communication module and establish a signal connection link between the wireless communication module and the sensor detection network. It should be noted that the wireless communication module in this embodiment refers to a wireless communication module based on Bluetooth technology.
[0068] Step S62: Based on the wireless communication module, send the abnormal information of the anchor bonding construction and the digital twin model of the anchor bonding construction to the background monitoring system.
[0069] Step S63: The abnormal information of the bonding and anchoring construction and the digital twin model of the bonding and anchoring construction are uploaded to the blockchain system in real time to facilitate data recording and storage during the bonding and anchoring process of composite panels.
[0070] This invention also discloses a real-time control system for the construction quality of composite plate bonding and anchoring based on stress monitoring.
[0071] Reference Figure 2 A real-time control system for composite panel bonding and anchoring construction quality based on stress monitoring includes: The basic quality control module is configured to detect and determine whether the base layer and the bonding and anchoring materials meet the bonding and anchoring construction conditions before the composite panel bonding and anchoring construction is carried out. If they do not meet the conditions, adjustments are made until they meet the conditions. Then, a signal indicating that the preliminary preparation is complete is output, and a digital twin model of the bonding and anchoring construction is created simultaneously.
[0072] The region division module is configured to divide the base interface into regions based on the base material and the size of the composite board to obtain the region division results.
[0073] The regional construction risk perception module is configured to analyze the quality of the base layer in each region based on the base layer strength and flatness to obtain the regional base layer quality coefficient; analyze the wind load and structural stress in each region based on the structural design of the base layer interface to determine the load stress risk level in each region to obtain the regional load stress risk coefficient; and combine the regional base layer quality coefficient and the regional load stress risk coefficient to determine the bonding and anchoring construction risk in each region of the base layer to obtain the regional bonding and anchoring construction risk coefficient.
[0074] The sensor deployment module is configured to compare the regional anchoring construction risk coefficient with the preset anchoring construction risk comparison information, determine the anchoring construction risk of each area of the base interface and divide it to obtain the construction risk zoning result, obtain the regional sensor deployment density information based on the construction risk zoning result, install and deploy the sensor units to form a sensor detection network, and record the sensor unit coordinate information of each sensor node.
[0075] The real-time quality monitoring module is configured to monitor the stress during the bonding and anchoring construction of composite panels in real time based on a sensor detection network to obtain bonding and anchoring stress information. Based on the bonding and anchoring stress information, it determines whether there are any abnormalities in the bonding and anchoring construction. If there are abnormalities, they are marked as abnormal points in the bonding and anchoring construction and the abnormal information is recorded. The abnormal points in the bonding and anchoring construction are displayed and marked on the digital twin model of the bonding and anchoring construction.
[0076] The communication storage module is configured to send abnormal information about the anchoring construction and the digital twin model of the anchoring construction to the background monitoring system and upload it to the blockchain system.
[0077] The above are all preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, all equivalent changes made in accordance with the structure, shape and principle of the present invention should be covered within the scope of protection of the present invention.
Claims
1. A method for real-time quality control of composite plate bonding and anchoring construction based on stress monitoring, characterized in that, Includes the following steps: Step S1: Before the composite panel bonding and anchoring construction, check and determine whether the base layer and bonding and anchoring materials meet the bonding and anchoring construction conditions. If they do not meet the conditions, make adjustments until they meet the conditions. Then, output the preliminary preparation completion signal and simultaneously create a digital twin model of bonding and anchoring construction. Step S2: Based on the base material and the size of the composite board, the base interface is divided into regions to obtain the region division results; Step S3: Analyze the base quality of each area based on the base strength and flatness to obtain the regional base quality coefficient. Analyze the wind load and structural stress of each area based on the structural design of the base interface to determine the load stress risk level of each area and obtain the regional load stress risk coefficient. Combine the regional base quality coefficient and the regional load stress risk coefficient to determine the bonding and anchoring construction risk of each area of the base and obtain the regional bonding and anchoring construction risk coefficient. Step S4: Compare the regional anchoring construction risk coefficient with the preset anchoring construction risk comparison information, determine the anchoring construction risk of each area of the base interface and divide it to obtain the construction risk zoning result, obtain the regional sensor deployment density information based on the construction risk zoning result, install and deploy the sensor units to form a sensor detection network, and record the sensor unit coordinate information of each sensor node. Step S5: Based on the sensor detection network, the stress during the bonding and anchoring construction of the composite plate is monitored in real time to obtain the bonding and anchoring stress information. Based on the bonding and anchoring stress information, it is determined whether there is any abnormality in the bonding and anchoring construction. If there is an abnormality, it is marked as a bonding and anchoring construction abnormality point and the bonding and anchoring construction abnormality information is recorded. The bonding and anchoring construction abnormality point is displayed and marked on the bonding and anchoring construction digital twin model. Step S6: Send the abnormal information of the anchor bonding construction and the digital twin model of the anchor bonding construction to the background monitoring system and upload them to the blockchain system.
2. The method for real-time control of composite plate bonding and anchoring construction quality based on stress monitoring according to claim 1, characterized in that, Step S1 specifically includes the following sub-steps: High-definition cameras are used to capture images of the base layer from multiple angles to obtain base layer image information, and a digital twin model of the anchoring construction is created based on the base layer image information. Obtain a base-level anomaly image library, which includes image samples of different types of dirt and different types of defects; The image information of the base layer is compared with the base layer anomaly image library to determine whether there is dirt or defects in the base layer. If there is dirt, the base layer dirt information is recorded and a base layer dirt alarm signal is output. The base layer dirt information includes base layer dirt type information and base layer dirt coordinate information. If there are defects, the base layer defect information is recorded and a base layer defect alarm signal is output. The base layer defect information includes base layer defect type information and base layer defect coordinate information. The information on dirt and grime at the base level is combined with the information on defects at the base level to form information on dirt, grime, defects, and anomalies. Upon receiving a dirt alarm signal from the base layer, the system cleans the base layer surface with dirt based on the base layer dirt type information and base layer dirt coordinate information. After cleaning is completed, a first-class base layer preparation completion signal is output. Upon receiving a base layer defect alarm signal, the base layer surface with defects is repaired based on the base layer defect type information and base layer defect coordinate information. After the repair is completed, a second type of base layer preparation completion signal is output. A pull-out test is performed on the base layer to evaluate its bonding strength and obtain its strength information. The base layer strength information is then compared with a preset base layer strength threshold. If the base layer strength information is higher than the preset base layer strength threshold, it is determined that the base layer strength meets the conditions for adhesive anchoring construction, and a signal indicating that the third type of base layer is ready to be completed is output. Use a straightedge to press against the base surface and measure the size of the gap between the straightedge and the base surface to obtain the flatness gap value information. Compare the flatness gap value information with the preset flatness gap threshold. If the flatness gap value information is less than the preset flatness gap threshold, it is determined that the flatness of the base surface meets the conditions for adhesive anchoring construction, and the fourth type of base preparation completion signal is output. Upon receiving the first type of base preparation completion signal, the second type of base preparation completion signal, the third type of base preparation completion signal, and the fourth type of base preparation completion signal, the base quality preparation completion signal is output.
3. The method for real-time control of composite plate bonding and anchoring construction quality based on stress monitoring according to claim 2, characterized in that, Step S1 further includes the following sub-steps: Obtain a pool of materials for anchor bonding construction and a database of qualified standards for anchor bonding materials. The pool of materials for anchor bonding construction includes composite panels, bonding mortar, and anchors. The quality of the anchor bonding construction preparation material pool is inspected and compared with the anchor bonding material qualification standard database. Materials that do not meet the standards in the anchor bonding construction preparation material pool are screened and removed. Materials that meet the standards in the anchor bonding construction preparation material pool are screened, retained and marked as qualified anchor bonding materials. After completion, the anchor bonding material screening completion signal is output. Upon receiving the signal that the base layer quality preparation is complete and the signal that the anchoring material screening is complete, it is determined that both the base layer and the anchoring material meet the conditions for anchoring construction, and the signal that the preliminary preparation is complete is output.
4. The method for real-time control of composite plate bonding and anchoring construction quality based on stress monitoring according to claim 3, characterized in that, Step S2 further includes the following sub-steps: Obtain basic material information, and based on the basic material information, perform preliminary regional division of the basic interface to obtain preliminary regional division results; Obtain basic information about the composite board, including composite board type information, composite board size information, and composite board thickness information; Based on the composite panel size information, the composite panels are arranged sequentially on the base interface to obtain composite panel layout planning information; Based on the composite board layout planning information, the base interface in the preliminary area division results is further divided into areas to obtain the base area division results. The results of the base area division are displayed and marked on the digital twin model of the adhesive anchor construction.
5. The method for real-time control of composite plate bonding and anchoring construction quality based on stress monitoring according to claim 4, characterized in that, Step S3 further includes the following sub-steps: Based on the numerical information of the flatness gaps, the flatness of each region in the base layer area division results is statistically analyzed to obtain the regional base layer flatness; Based on the base strength information, the bonding strength of each region in the base area division results is statistically analyzed to obtain the regional base strength; Based on the dynamic weighted fusion algorithm, the quality of the base layer in each region is judged by combining the regional base layer flatness and regional base layer strength, and the regional base layer quality coefficient is obtained. Based on the structural design of the base interface, the wind load of each area of the base is determined to obtain the regional wind load. Based on the structural design of the base interface, the structural stress in each region of the base is determined, and the regional stress is obtained. Based on the dynamic weighted fusion algorithm, combined with regional wind load and regional stress, the load stress risk level of each region of the base interface is judged, and the regional load stress risk coefficient is obtained. Based on the dynamic weighted fusion algorithm, combined with the regional base quality coefficient and the regional load stress risk coefficient, the risk of adhesive anchoring construction in each region of the base is determined, and the regional adhesive anchoring construction risk coefficient is obtained. The risk coefficient of the regional adhesive anchor construction is displayed and marked on the digital twin model of the adhesive anchor construction.
6. The method for real-time control of composite plate bonding and anchoring construction quality based on stress monitoring according to claim 5, characterized in that, Step S4 further includes the following sub-steps: Obtain the risk comparison information of the anchor bonding construction, wherein the risk comparison value of the anchor bonding construction includes a first risk comparison value of the anchor bonding construction and a second risk comparison value of the anchor bonding construction, wherein the first risk comparison value of the anchor bonding construction is greater than the second risk comparison value of the anchor bonding construction. The risk coefficient of regional anchoring construction is determined and compared with the preset first anchoring construction risk comparison value. If the risk coefficient of regional anchoring construction is greater than or equal to the first anchoring construction risk comparison value, the region is determined to be a high-risk region. If the risk coefficient of regional anchoring construction is less than the first anchoring construction risk comparison value, then the regional anchoring construction risk coefficient is compared with the preset second anchoring construction risk comparison value. If the regional anchoring construction risk coefficient is greater than or equal to the second anchoring construction risk comparison value, then the region is determined to be a medium-risk region. If the risk coefficient of regional anchoring construction is less than the risk comparison value of the second anchoring construction, then the region is determined to be a low-risk region. The high-risk area, the medium-risk area, and the low-risk area are combined to form the construction risk zoning result, and the construction risk zoning result is displayed and marked on the digital twin model of the adhesive anchor construction. Based on the construction risk zoning results, the deployment density of sensor units in each area is analyzed to obtain regional sensor deployment density information. Based on the regional sensor deployment density information, sensor units in each region are installed and deployed during the composite panel bonding and anchoring construction to form a sensor detection network, and the sensor unit coordinate information of each sensor node in the sensor detection network is recorded; the sensor unit coordinate information is displayed and marked on the digital twin model of the bonding and anchoring construction.
7. The method for real-time control of composite plate bonding and anchoring construction quality based on stress monitoring according to claim 6, characterized in that, Step S5 further includes the following sub-steps: The sensing unit includes a fiber optic grating sensor and a smart anchor bolt; Based on the fiber optic grating sensors deployed in each region, multiple bonding stress information is obtained by real-time monitoring of the bonding stress at each bonding sensing node. The bonding stress information of each bonding sensing node is detected to determine whether a sudden change has occurred. If a sudden change occurs, the first bonding stress abnormality signal is output and marked as the first type of bonding abnormality point. The bonding stress information of each bonding sensing node is compared with the preset bonding stress threshold. If the bonding stress information exceeds the preset bonding stress threshold, it is determined to be a second type of bonding anomaly. The first type of bonding anomaly point and the second type of bonding anomaly point combine to form a bonding stress anomaly point, and the bonding anomaly information is recorded; Based on the real-time monitoring of the anchoring stress of each anchoring sensor node by the smart anchors deployed in each area, the anchoring stress information is obtained. The bonding stress information and the anchoring stress information are combined to form bonding anchoring stress information. The anchoring stress information of each anchoring sensing node is compared with the preset anchoring stress threshold. If the anchoring stress information exceeds the preset anchoring stress threshold, it is determined to be an anchoring stress anomaly point, and the anchoring anomaly information is recorded. The bonding stress anomaly point and the anchoring stress anomaly point are combined to form the bonding anchor construction anomaly point, and the bonding anchor construction anomaly point is displayed and marked in real time on the bonding anchor construction digital twin model; The bonding anomaly information and the anchoring anomaly information are combined to form the bonding anchoring construction anomaly information.
8. The method for real-time control of composite plate bonding and anchoring construction quality based on stress monitoring according to claim 7, characterized in that, Step S6 further includes the following sub-steps: Acquire the wireless communication module and establish a signal connection link between the wireless communication module and the sensing network; Based on the wireless communication module, the abnormal information of the anchoring construction and the digital twin model of the anchoring construction are sent to the background monitoring system. The abnormal information of the anchor bonding construction and the digital twin model of the anchor bonding construction are uploaded to the blockchain system in real time.
9. A real-time control system for the construction quality of composite plate bonding and anchoring based on stress monitoring, characterized in that, The stress-monitoring-based real-time control system for composite plate bonding and anchoring construction quality is used to implement the stress-monitoring-based real-time control method for composite plate bonding and anchoring construction quality as described in any one of claims 1-8, including: The basic quality control module is configured to detect and determine whether the base layer and the bonding and anchoring materials meet the bonding and anchoring construction conditions before the composite panel bonding and anchoring construction is carried out. If they do not meet the conditions, adjustments are made until they meet the conditions. Then, a signal indicating that the preliminary preparation is complete is output, and a digital twin model of the bonding and anchoring construction is created simultaneously. The region division module is configured to divide the base interface into regions based on the base material and the size of the composite board to obtain the region division results. The regional construction risk perception module is configured to analyze the quality of the base layer in each region based on the base layer strength and flatness to obtain the regional base layer quality coefficient; analyze the wind load and structural stress in each region based on the structural design of the base layer interface to determine the load stress risk level in each region to obtain the regional load stress risk coefficient; and combine the regional base layer quality coefficient and the regional load stress risk coefficient to determine the bonding and anchoring construction risk in each region of the base layer to obtain the regional bonding and anchoring construction risk coefficient. The sensor deployment module is configured to compare the regional anchoring construction risk coefficient with the preset anchoring construction risk comparison information, determine the anchoring construction risk of each area of the base interface and divide it to obtain the construction risk zoning result, obtain the regional sensor deployment density information based on the construction risk zoning result, install and deploy the sensor units to form a sensor detection network, and record the sensor unit coordinate information of each sensor node. The real-time quality monitoring module is configured to monitor the stress in the composite plate bonding and anchoring construction in real time based on the sensor detection network to obtain bonding and anchoring stress information. Based on the bonding and anchoring stress information, it determines whether there is any abnormality in the bonding and anchoring construction. If there is an abnormality, it marks it as a bonding and anchoring construction abnormality point and records the bonding and anchoring construction abnormality information. The bonding and anchoring construction abnormality point is displayed and marked on the bonding and anchoring construction digital twin model. The communication storage module is configured to send the abnormal information of the anchoring construction and the digital twin model of the anchoring construction to the background monitoring system and upload it to the blockchain system.