Construction method of steel rib concrete prestressed laminated slab
Through intelligent construction methods, image recognition and prediction algorithms are used to monitor the production of steel rib concrete base plates, and the concrete pouring speed is dynamically adjusted, which solves the separation problem in traditional concrete pouring, improves construction quality and efficiency, and ensures the stability of the building structure.
Patent Information
- Application Number
- CN202510526326.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-25
- Publication Date
- 2025-08-01
AI Technical Summary
During the pouring process of traditional concrete, relying on artificial experience leads to frequent concrete separation phenomena, and it is difficult to achieve the expected compactness of vibration, which affects the quality and stability of the building structure.
Using intelligent construction methods, image recognition algorithms are used to monitor the production of prefabricated steel rib concrete base plates, combined with prediction algorithms and sensor monitoring, dynamically adjust the concrete pouring speed, precisely control the steel bar binding and formwork support, real-time monitoring and adjustment, and establish an intelligent construction process.
It improves the quality and construction efficiency of concrete pouring, reduces manual errors, reduces safety risks, ensures the stability and quality of the building structure, and optimizes the construction process.
Smart Images
Figure CN120401800A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of building construction, and specifically relates to a construction method for a steel rib concrete prestressed composite slab. Background Art
[0002] The steel rib concrete prestressed composite slab is a new type of building slab. It uses steel ribs as the skeleton to enhance the structural strength, arranges prestressed tendons inside to apply prestress, prefabricates a perforated bottom plate in the factory first, and then laminates it with a post-cast concrete layer on site. It combines the advantages of steel and concrete, has the characteristics of strong load-bearing capacity, good crack resistance, and convenient construction, and is widely used in various building projects.
[0003] In the current field of building construction, concrete pouring is an extremely crucial link. During the traditional concrete pouring process, the pouring speed mostly depends on manual experience to set, and it cannot accurately adapt to the characteristics of the concrete itself and the complex and changeable conditions at the construction site. This leads to frequent occurrence of concrete segregation, and it is difficult to achieve the expected compaction degree during vibration, seriously affecting the overall quality and stability of the building structure. In view of this, we propose a construction method for a steel rib concrete prestressed composite slab. Summary of the Invention
[0004] Aiming at the deficiencies of the prior art, the present invention provides a construction method for a steel rib concrete prestressed composite slab, which solves the problem of judging the concrete pouring process by manual experience in the prior art.
[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A construction method for a steel rib concrete prestressed composite slab, including the following steps: S1: Fabrication of the precast steel rib concrete bottom plate In the factory, first select appropriate steel to process steel ribs, connect them into a skeleton by welding or bolt connection, lay a steel mesh according to the design, cooperate with the skeleton, and reserve prestressed tendon ducts when pouring concrete to make a perforated precast bottom plate; S2: Insertion and tensioning of prestressed tendons Transport the precast bottom plate to the construction site, accurately position it with professional lifting equipment, insert the prestressed tendons into the reserved ducts, install the tensioning equipment, and perform tensioning operations on them according to the design sequence and tensile force; S3: Binding of upper-layer steel bars and formwork erection On the precast bottom plate that has completed tensioning, strictly bind the upper-layer steel bars according to the design drawings to ensure that the spacing, quantity, and connection method are compliant, and then erect the formwork to ensure that its strength, stiffness, and stability meet the standards; S4: On-site concrete pouring Pour concrete on the structure where the steel bar binding and formwork erection have been completed, select an appropriate mix ratio, and use the layered pouring method to make the concrete evenly filled to form a complete composite slab structure; S5: Maintenance and Acceptance After pouring, select a suitable maintenance method according to the characteristics of the concrete and the environment, such as covering for moisture retention or spraying water. After reaching the specified time and strength, conduct a comprehensive acceptance of the composite slab according to relevant standards and specifications.
[0006] Preferably, during the production process of the precast steel rib concrete floor slab in S1, an image recognition algorithm is used to monitor the production process of the precast steel rib concrete floor slab. The algorithm automatically identifies defects at the steel rib connection points, including welding cracks and bolt loosening. For the laying of the steel bar mesh, the algorithm can compare the actual laying situation with the design drawing to detect deviations in the steel bar spacing and quantity.
[0007] Preferably, during the production process of the precast steel rib concrete floor slab in S1, the steel ribs are made of high-strength alloy steel with special surface treatment. This surface treatment is to form a tungsten carbide coating on the surface of the steel ribs through physical vapor deposition technology, and the coating thickness is controlled between 5 - 10 microns.
[0008] Preferably, in the step of S2 prestressed tendon threading and tensioning, a prediction algorithm is introduced. By analyzing the prestressed tendon tensioning data, material properties, and environmental factors of previous similar projects, a mathematical model is established to predict in advance the possible abnormal situations during the prestressed tendon tensioning process under the current construction conditions. During the tensioning process, real-time data is continuously fed back into the model for correction.
[0009] Preferably, in the step of S2 prestressed tendon threading and tensioning, a prestressed tendon positioning algorithm based on laser scanning and image recognition is adopted. Positioning identification points are preset on the precast floor slab. The floor slab is scanned three-dimensionally by a laser scanner to obtain the position information of the identification points. At the same time, a camera is used to take images of the prestressed tendon ducts, and the center line and edge positions of the ducts are identified through an image recognition algorithm. The scanned identification point information and the duct image information are fused and processed to establish a three-dimensional model.
[0010] Preferably, in S3 upper layer steel bar binding and formwork erection, a series of steel bar positioning fixtures with different specifications and spacings are made. The positioning fixtures are made of high-strength plastic, and each positioning fixture is provided with a scale mark. When binding the upper layer steel bars, the positioning fixtures are clamped on the steel bars, and the spacing of the steel bars is accurately controlled through the slots on the positioning fixtures.
[0011] Preferably, in S3 upper layer steel bar binding and formwork erection, a control method of real-time monitoring and adjustment is adopted for the perpendicularity of formwork installation. Verticality sensors are installed at the four corners of the formwork, and the sensors transmit data to the monitoring terminal in real time through wireless communication technology.
[0012] Preferably, in the binding of the upper-layer steel bars and the formwork erection in S3, during the formwork installation, the operator adjusts according to the verticality data displayed on the monitoring terminal. When the verticality deviation exceeds ±0.3°, fine adjustment is carried out through the adjustable support device provided at the bottom of the formwork. The adjustable support device consists of a screw rod and a nut, and the height and angle of the formwork can be adjusted by rotating the nut.
[0013] Preferably, in the S4 on-site concrete pouring step, a method for dynamically adjusting the concrete pouring speed is adopted. During the pouring process, parameters including the concrete slump, the accumulated height of the concrete in the formwork, and the obstruction of the steel bars are monitored in real time. Through the flow sensors and pressure sensors installed on the concrete conveying pipeline, the flow rate and pressure data of the concrete are obtained, and these data are analyzed and processed by intelligent algorithms, and the pouring speed of the concrete is dynamically adjusted according to the analysis results.
[0014] Preferably, in the S5 curing and acceptance, a method for weight distribution of acceptance items is adopted. For each acceptance item of the composite slab, including appearance quality, dimensional deviation, concrete strength, and prestress application, according to its influence degree on the overall performance and safety of the composite slab, the weights of each item are determined by using the analytic hierarchy process. During the acceptance process, the acceptance results are comprehensively scored according to the weights of each item.
[0015] The present invention provides a construction method for a steel rib concrete prestressed composite slab. It has the following beneficial effects: 1. The present invention adopts a method for dynamically adjusting the concrete pouring speed, which can ensure the pouring quality, adjust the speed according to parameters such as slump and accumulated height, reduce the occurrence of segregation, uneven vibration, etc. At the same time, with the help of sensors and intelligent algorithms, the construction efficiency can be improved, delays can be reduced. In addition, a reasonable pouring speed can also reduce safety risks and prevent formwork accidents. Moreover, this intelligent means can reduce human errors, lay a foundation for the informatization management of building construction, and comprehensively optimize the construction process.
[0016] 2. The present invention uses an image recognition algorithm to monitor the production of precast steel rib concrete bottom slabs. It can accurately identify defects in steel rib connection points and deviations in the laying of steel bar meshes, realize real-time monitoring, greatly improve the detection accuracy, reduce the manual detection workload, lower the labor cost, effectively ensure the product quality, avoid rework in the later stage. In addition, the collected and marked data will be stored for data recording and traceability, which is conducive to improving the production process and quality control system.
[0017] 3. In the steps of prestressed tendon threading and tensioning of the present invention, an artificial neural network algorithm is introduced. Through the learning and analysis of a large amount of historical data, abnormal situations that may occur during the tensioning process, such as prestress loss and tendon fracture, can be accurately predicted. Based on real-time data feedback for model correction, the prediction results can be made more accurate, which helps to take preventive measures in advance, reduce construction risks, ensure project quality and construction safety. At the same time, it can also improve construction efficiency, reduce unnecessary construction period delays and cost increases. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 is a flow chart of the construction method of the steel rib concrete prestressed composite slab; Figure 2 is a schematic diagram of the abnormal prediction algorithm flow of the present invention; Figure 3 is a schematic diagram of the dynamic adjustment algorithm flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the specification of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0020] Embodiment: Please refer to the attached Figure 1 - attached Figure 3 , the embodiment of the present invention provides a construction method for a steel rib concrete prestressed composite slab, including the following steps: S1: Fabrication of precast steel rib concrete bottom slab In the factory, first select suitable steel to fabricate steel ribs, which are welded or bolted into a skeleton. Then, lay the steel mesh according to the design, cooperate with the skeleton, and reserve prestressed tendon ducts when pouring concrete to make a precast bottom slab with holes; S2: Prestressed tendon threading and tensioning Transport the precast bottom slab to the construction site, accurately position it with professional lifting equipment, thread the prestressed tendons into the reserved ducts, install the tensioning equipment, and perform tensioning operations on them according to the design sequence and tensile force; S3: Binding of upper layer steel bars and formwork erection On the precast bottom slab that has completed tensioning, bind the upper layer steel bars strictly according to the design drawings to ensure that the spacing, quantity and connection method are compliant. Then, erect the formwork to ensure that its strength, stiffness and stability meet the standards; S4: On-site concrete pouring Pour concrete on the structure where steel bar binding and formwork erection have been completed. Select a suitable mix ratio and adopt the layered pouring method to make the concrete evenly fill and form a complete composite slab structure. S5: Curing and acceptance After pouring is completed, select a suitable curing method according to the characteristics of the concrete and the environment, such as covering for moisture retention or spraying water. After reaching the specified time and strength, conduct a comprehensive acceptance of the composite slab according to relevant standards and specifications.
[0021] During the production process of the precast steel rib concrete floor slab described in S1, use an image recognition algorithm to monitor the production process of the precast steel rib concrete floor slab. The algorithm automatically identifies defects in the steel rib connection points, including welding cracks and bolt looseness. For the laying of the steel bar mesh, the algorithm can compare the actual laying situation with the design drawings to detect deviations in the steel bar spacing and quantity. For the image recognition process during the process, establish the following algorithm: Step 1: Image acquisition Install industrial cameras at key positions on the precast site and collect images of the steel bar connection points and the steel bar mesh at a certain interval (such as 5 seconds / time). The camera parameters are crucial. The resolution R should ensure clear images, the frame rate F determines the acquisition interval, and the field of view V needs to cover the monitoring area, that is And ( is the length and width of the monitoring area, is the size of the field of view in the corresponding direction).
[0022] Step 2: Image preprocessing Grayscale conversion: Convert the color image into a grayscale image using the weighted average method. The formula is: Convert the pixel values of the red (R), green (G), and blue (B) channels into a single grayscale value Gray through this formula to reduce the data volume and highlight the brightness information; Gaussian filtering: Use the two-dimensional Gaussian function formula to generate a convolution kernel, and then convolve it with the image to remove image noise, control the filtering smoothness, is the half-width and half-height of the convolution kernel; is the half-width and half-height of the convolution kernel; 3. Sharpening processing: Use the Laplacian operator and press:
[0023] Sharpen the filtered image to enhance edges and details.
[0024] Step 3: Feature extraction 1. Edge detection (Sobel operator): Use the horizontal convolution kernel and the vertical convolution kernel , calculate the gradient magnitude:
[0025] and the gradient direction:
[0026] Thereby extract the edge information; 1. Texture analysis: The matrix represents the co-occurrence probability of gray values and at a specific distance and pixels, through contrast:
[0027] Correlation:
[0028] Energy:
[0029] Homogeneity:
[0030] Calculate the texture feature parameters by the formula to analyze the texture of the steel rib connection points and the steel bar mesh. Among them, is the number of gray levels of the image, , are the means, , are the standard deviations; Step 4: Defect identification and deviation detection Defect identification of steel bar connection points: Compare the extracted features with the standard features. For example, for welding cracks, set the threshold values of length , width , contrast , etc.; for bolt loosening, set the threshold values of the gray level change rate and the change rate of texture correlation , etc. If it exceeds the threshold, it is determined that there is a defect; 2. Detection of the laying deviation of the steel bar mesh: Determine the standard spacing and quantity according to the design, identify the steel bar frame in the image to calculate the actual spacing and count the actual quantity , use and to calculate the deviation. If it exceeds the allowable range, it is determined that the laying is deviated.
[0031] Step 5: Result Output and Feedback Visualize the defect and deviation detection results, generate reports at the image marking positions and areas, and feedback them to the on-site management personnel for timely problem handling.
[0032] During the production process of the S1 precast steel rib concrete floor slab, high-strength alloy steel with special surface treatment is used for the steel ribs. The surface treatment is to form a tungsten carbide coating on the surface of the steel ribs through physical vapor deposition technology, and the coating thickness is controlled between 5 and 10 microns.
[0033] In the S2 prestressed tendon threading and tensioning steps, a prediction algorithm is introduced. By analyzing the prestressed tensioning data, material properties, and environmental factors of previous similar projects, a mathematical model is established to predict in advance the possible abnormal situations during the prestressed tendon tensioning process under the current construction conditions. During the tensioning process, real-time data is continuously fed back into the model for correction. The prediction algorithm established here is as follows: Determine the neural network structure: The number of input layer nodes is set according to the number of independent variables as , and the number of hidden layer nodes can refer to estimation ( is the number of output layer nodes. When performing binary classification , take 1 - 10), and the number of output layer nodes is set to 1 due to binary classification.
[0034] Initialize the weights and biases: The weights are randomly valued in (-1, 1), and the biases are initialized to 0.
[0035] Forward propagation: The input of the th neuron in the hidden layer is
[0036] After passing through the activation function ; or ) to obtain the output.
[0037] The input of the output layer is
[0038] Then, after passing through the activation function, the predicted value is obtained.
[0039] Calculate the loss function: Cross-entropy loss function:
[0040] Measure the difference between the prediction and the actual value Backpropagation and parameter update: Output layer error
[0041] Hidden layer error:
[0042] Calculate the weight and bias gradients, where the output layer weight gradient;
[0043] Use the gradient descent method according to
[0044] Update the weights and biases according to the formula ( is the learning rate) Model training and evaluation: Divide the training set and the test set, train the model until the loss converges or reaches the preset number of times, and evaluate it using the accuracy metric:
[0045] Real-time prediction and model correction: Collect construction data in real time, preprocess it and input it into the model to predict anomalies, feedback the data back to the model, and correct it according to the above training process to improve the prediction accuracy.
[0046] In the steps of S2 prestressed tendon threading and tensioning, a prestressed tendon positioning algorithm based on laser scanning and image recognition is adopted. Positioning identification points are preset on the precast floor slab. The floor slab is scanned three-dimensionally by a laser scanner to obtain the position information of the identification points. At the same time, a camera is used to take images of the prestressed tendon ducts, and the center line and edge positions of the ducts are identified through image recognition algorithms. The scanned identification point information and the duct image information are fused and processed to establish a three-dimensional model.
[0047] In the S3 upper layer steel bar binding and formwork erection, a series of steel bar positioning fixtures with different specifications and spacings are made. The positioning fixtures are made of high-strength plastic, and each positioning fixture is provided with a scale mark. When binding the upper layer steel bars, the positioning fixtures are clamped on the steel bars, and the spacing of the steel bars is accurately controlled through the card slots on the positioning fixtures.
[0048] In the S3 upper layer steel bar binding and formwork erection, a control method of real-time monitoring and adjustment is adopted for the verticality of formwork installation. Verticality sensors are installed at the four corners of the formwork, and the sensors transmit the data to the monitoring terminal in real time through wireless communication technology.
[0049] In the binding of the upper-layer steel bars and the erection of the formwork in S3, during the formwork installation process, the operator adjusts according to the verticality data displayed on the monitoring terminal. When the verticality deviation exceeds ±0.3°, fine adjustment is carried out through the adjustable support device set at the bottom of the formwork. The adjustable support device consists of a screw and a nut, and the height and angle of the formwork can be adjusted by rotating the nut.
[0050] In the S4 on-site concrete pouring step, a dynamic adjustment method for the concrete pouring speed is adopted. During the pouring process, parameters such as the concrete slump, the accumulated height of the concrete in the formwork, and the obstruction situation of the steel bars are monitored in real time. Through the flow sensors and pressure sensors installed on the concrete conveying pipeline, the flow and pressure data of the concrete are obtained, and intelligent algorithms are used to analyze and process these data. According to the analysis results, the concrete pouring speed is dynamically adjusted. In addition, we establish the following dynamic adjustment algorithm: 1. Define the objectives and parameters Determine the ideal values of control parameters such as the concrete slump and the accumulated height, and set the proportional coefficient, integral coefficient and differential coefficient of the PID controller.
[0051] 2. Data acquisition Use flow, pressure sensors and other devices to obtain the concrete flow rate , pressure , slump , accumulated height , and the obstruction situation of the steel bars in real time.
[0052] 3. Calculate the error Calculate the errors of each parameter respectively, including the slump error:
[0053] accumulated height error
[0054] and the steel bar obstruction error:
[0055] 4. Calculate the control quantity Taking the slump error as an example, calculate the control quantity: Proportional term: Integral term: Differential term: Total control quantity:
[0056] Similarly, it can be obtained that and 。
[0057] 5. Comprehensive adjustment Assign weights according to the influence of each parameter on the pouring quality 、 、 ( ), calculate the final control quantity:
[0058] 6. Adjust the pouring speed According to the control quantity Adjust the parameters of the conveying equipment, such as the motor speed ( is the initial speed, is the proportional constant).
[0059] 7. Real-time feedback iteration Continuously monitor the parameters, repeat steps 3 - 6, implement closed-loop feedback control, and ensure that the pouring speed is in the best state.
[0060] In the S5 curing and acceptance, an acceptance item weight distribution method is adopted. For each acceptance item of the composite slab, including appearance quality, dimensional deviation, concrete strength, and prestress application situation, according to their influence degrees on the overall performance and safety of the composite slab, the weights of each item are determined by using the analytic hierarchy process. During the acceptance process, the acceptance results are comprehensively scored according to the weights of each item.
[0061] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A construction method for a steel rib concrete prestressed composite slab, characterized in that, It includes the following steps: S1: Fabrication of precast steel ribbed concrete floor slab In the factory, first select suitable steel materials to process steel ribs, which are welded or bolted into a framework. Then lay the steel bar mesh according to the design, and cooperate with the framework. When pouring concrete, reserve prestressed tendon ducts to make a perforated precast floor slab; S2: Insertion and tensioning of prestressed tendons Transport the precast floor slab to the construction site, accurately position it with professional hoisting equipment, insert the prestressed tendons into the reserved ducts, install the tensioning equipment, and perform tensioning operations on them according to the design sequence and tensile force; S3: Binding of upper layer steel bars and erection of formwork On the precast floor slab after tensioning, bind the upper layer steel bars strictly according to the design drawings to ensure that the spacing, quantity and connection method are compliant. Then erect the formwork to ensure that its strength, stiffness and stability meet the standards; S4: On-site concrete pouring Pour concrete on the structure where the steel bar binding and formwork erection have been completed. Select a suitable mix ratio and adopt the layered pouring method to make the concrete evenly filled to form a complete composite slab structure; S5: Curing and acceptance After pouring, select a suitable curing method according to the concrete characteristics and environment, such as covering for moisture retention or spraying water. After reaching the specified time and strength, conduct a comprehensive acceptance of the composite slab according to relevant standards and specifications.
2. The construction method of a steel rib concrete prestressed composite slab according to claim 1, characterized in that, During the fabrication process of the S1 precast steel ribbed concrete floor slab, an image recognition algorithm is used to monitor the fabrication process of the precast steel ribbed concrete floor slab. The algorithm automatically identifies defects at the steel rib connection points, including welding cracks and bolt loosening. For the laying of the steel bar mesh, the algorithm can compare the actual laying situation with the design drawings to detect deviations in the steel bar spacing and quantity.
3. The construction method of a steel rib concrete prestressed composite slab according to claim 1, characterized in that, During the fabrication process of the S1 precast steel ribbed concrete floor slab, the steel ribs are made of high-strength alloy steel with special surface treatment. This surface treatment is to form a tungsten carbide coating on the surface of the steel ribs through physical vapor deposition technology, and the coating thickness is controlled between 5-10 microns.
4. The construction method of a steel rib concrete prestressed composite slab according to claim 1, characterized in that, In the S2 step of inserting and tensioning the prestressed tendons, a prediction algorithm is introduced. By analyzing the prestressed tendon tensioning data, material properties and environmental factors of previous similar projects, a mathematical model is established to predict in advance the abnormal situations that may occur during the tensioning process of the prestressed tendons under the current construction conditions. During the tensioning process, real-time data is continuously fed back into the model for correction.
5. The construction method of a steel rib concrete prestressed composite slab according to claim 1, characterized in that, In the S2 step of inserting and tensioning the prestressed tendons, a prestressed tendon positioning algorithm based on laser scanning and image recognition is adopted. Positioning identification points are preset on the precast floor slab. The floor slab is scanned three-dimensionally by a laser scanner to obtain the position information of the identification points. At the same time, a camera is used to take images of the prestressed tendon ducts, and the center line and edge positions of the ducts are identified through an image recognition algorithm. The scanned identification point information and the duct image information are fused and processed to establish a three-dimensional model.
6. The construction method of a steel rib concrete prestressed composite slab according to claim 1, characterized in that, In the S3 step of binding the upper layer steel bars and erecting the formwork, a series of steel bar positioning clamps with different specifications and spacings are made. The positioning clamps are made of high-strength plastic, and each positioning clamp is provided with a scale mark. When binding the upper layer steel bars, the positioning clamps are clamped on the steel bars, and the spacing of the steel bars is accurately controlled through the slots on the positioning clamps.
7. The construction method of a steel rib concrete prestressed composite slab according to claim 1, characterized in that, In the binding of the upper-layer steel bars and formwork erection of S3, a control method of real-time monitoring and adjustment is adopted for the perpendicularity of formwork installation. Perpendicularity sensors are installed at the four corners of the formwork, and the sensors transmit data to the monitoring terminal in real time through wireless communication technology.
8. The construction method of a steel rib concrete prestressed composite slab according to claim 7, characterized in that, In the binding of the upper-layer steel bars and formwork erection of S3, during the formwork installation process, the operator adjusts according to the perpendicularity data displayed on the monitoring terminal. When the perpendicularity deviation exceeds ±0.3°, fine adjustment is carried out through the adjustable support device set at the bottom of the formwork. The adjustable support device consists of a screw rod and a nut, and the height and angle of the formwork can be adjusted by rotating the nut.
9. The construction method of a steel rib concrete prestressed composite slab according to claim 1, characterized in that, In the step of on-site concrete pouring of S4, a method of dynamically adjusting the concrete pouring speed is adopted. During the pouring process, parameters including the slump of concrete, the accumulated height of concrete in the formwork, and the obstruction situation of steel bars are monitored in real time. The flow rate and pressure data of concrete are obtained through the flow sensors and pressure sensors installed on the concrete conveying pipeline, and these data are analyzed and processed by using intelligent algorithms, and the concrete pouring speed is dynamically adjusted according to the analysis results.
10. The construction method of a steel rib concrete prestressed composite slab according to claim 1, characterized in that, In the curing and acceptance of S5, a method of weight distribution for acceptance items is adopted. For each acceptance item of the composite slab, including appearance quality, dimensional deviation, concrete strength, and prestress application situation, according to their influence degrees on the overall performance and safety of the composite slab, the weights of each item are determined by using the analytic hierarchy process. During the acceptance process, the acceptance results are comprehensively scored according to the weights of each item.