Concrete pouring workload data acquisition system and method and storage medium

Abstract

The invention provides a concrete pouring workload data acquisition system which comprises a flow monitoring module, a pressure monitoring module, a wireless sensing and remote monitoring module, a grouting process monitoring module and a comprehensive management platform module. Real-time monitoring of key parameters, data analysis and remote management of equipment states in the concrete pouring process are achieved, the construction efficiency, quality and safety are improved, and meanwhile a scientific basis is provided for cost control and equipment maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete pouring, in particular to a data acquisition system, method and storage medium for concrete pouring workload. Background Technique

[0002] Concrete pouring refers to the process of pouring concrete into a mold until it is plasticized. The concrete pouring process directly affects the quality of concrete. Therefore, it is necessary to monitor each step during the pouring process, such as the vibration duration, vibration position, pouring height, etc. After pouring, subsequent monitoring is required, such as hydration heat, pile breaking situation, etc.

[0003] The technology for collecting data on the workload of concrete pouring refers to the technology of collecting and analyzing the workload data of equipment at the construction site through technical means such as flow monitoring, pressure sensing, 4G wireless sensing, etc. Specifically, it involves flow monitoring technology, pressure sensing technology, wireless sensing and remote monitoring technology, wireless sensing technology, mixer truck management, grouting process monitoring and basic support technology, etc. In the construction of building projects, concrete pouring is one of the key links. In the traditional concrete pouring construction process, there is often a lack of real-time monitoring and precise control of key parameters such as concrete flow rate, pressure, and density, resulting in difficult control of the construction progress, uneven construction quality, and difficulty in timely discovery and handling of equipment failures. In addition, the transportation process and operation behavior of mixer trucks also lack effective monitoring means, which affects the construction efficiency and project cost management.

[0004] The comparative document (CN117333075A) discloses a supervision method, device, equipment and storage medium for the concrete pouring process. The method includes monitoring the target pouring information when the pouring vehicle is performing the current pouring task, analyzing the target pouring information to obtain an analysis result, and evaluating the quality of the current pouring task according to the analysis result. However, this method mainly focuses on the positioning and status monitoring of the pouring vehicle, and the monitoring and analysis of key parameters during the concrete pouring process are not comprehensive enough to meet the refined management requirements for the quality of concrete pouring in actual construction. At the same time, the prior art also has the following defects: 1) Traditional concrete construction monitoring techniques mainly rely on manual labor and simple instruments, suffering from problems such as low efficiency, poor real-time performance, and insufficient accuracy. In the early stage of concrete construction, parameters such as pouring volume and pressure were recorded by manual observation or simple mechanical instruments (such as pressure gauges and flow meters). There are problems of low efficiency, large errors, and poor real-time performance, making it difficult to meet the requirements of complex projects. At the same time, the data needs to be manually summarized and analyzed offline, unable to guide construction in real time, resulting in difficult timely detection of quality hazards. 2) Conventional flow meters (such as turbine flow meters and electromagnetic flow meters) are used for pipeline fluid monitoring, but are mainly applied to industrial scenarios and not deeply integrated with construction scenarios. 3) Conventional pressure sensors are mostly used for industrial equipment status monitoring (such as hydraulic systems) and only used for simple pressure alarms in construction. 4) The transportation of mixer trucks relies on manual scheduling and recording, prone to problems such as route deviation, time delay, and opaque operation behavior. 5) The quality of grouting depends on empirical judgment, lacking real-time data support, and prone to under-grouting or over-grouting. 6) Data is isolated and analysis is lagging, making it difficult to support scientific decision-making. 7) It relies on wired transmission or low-rate wireless technologies (such as ZigBee), with limited coverage and high data transmission delay.

[0005] In view of the deficiencies of the existing technology, this application proposes a data acquisition system for concrete pouring workload. By integrating flow / pressure sensing, 4G / 5G wireless transmission, satellite positioning, multi-sensor data fusion, and intelligent algorithms, it realizes the full-process digital monitoring from concrete production, transportation, pouring to curing. Summary of the Invention

[0006] The present invention proposes a data acquisition system for concrete pouring workload, which realizes the full-process digital monitoring from concrete production, transportation, pouring to structural curing through multi-module collaboration, improves construction efficiency, quality, and safety, and at the same time provides a scientific basis for cost control and equipment maintenance. The technical solution of the present invention is realized as follows: A data acquisition system for concrete pouring workload, comprising: A flow monitoring module, which is used to monitor the flow rate and pouring speed of concrete conveying equipment in real time, indirectly evaluate the quality and uniformity of concrete by combining a flow sensor with a density sensor, and timely detect abnormal conditions of the concrete pump; A pressure monitoring module, which is used to monitor the concrete pouring pressure, formwork lateral pressure, jacking construction pressure, and stacking pressure, judge the concrete flow state, formwork stability, and construction safety through pressure changes; at the same time, provide an early warning function to prevent equipment failures or structural instability; A wireless sensing and remote monitoring module, which is used to complete environmental monitoring, structural monitoring, and remote information exchange; Grouting process monitoring module: It monitors key parameters such as pressure, displacement, and flow rate during the grouting process in real time, analyzes data using algorithms, evaluates the grouting uniformity and construction quality, and transmits the data to the integrated management platform module through wireless transmission technology. Integrated management platform module: It receives data from other modules through wireless transmission technology and supports algorithm determination, trend prediction, and report generation through a data analysis engine.

[0007] As a preferred technical solution, the flow rate monitoring module includes multiple flow rate monitoring instruments. Among them, the flow rate monitoring instrument installed on the pipeline calculates the flow rate of the fluid by measuring parameters such as the velocity, pressure, and temperature of the fluid passing through the pipeline; the flow rate monitoring instrument installed on the concrete conveying equipment monitors the flow rate and pouring speed of the concrete in real time and controls the pouring speed of the concrete according to the monitored flow rate data to ensure the stability of the construction progress and quality; the flow sensor installed on the concrete pump monitors the flow rate of the concrete pump in real time and discovers abnormal conditions of the concrete pump by monitoring the flow rate; the flow sensor installed on the concrete tank is used to monitor the feeding speed and consumption of the concrete in real time to provide an accurate data basis for subsequent concrete pouring; the flow sensor installed at the concrete conveying pipeline or the discharge port monitors the flow rate and density of the concrete in real time, thereby indirectly evaluating the quality and uniformity of the concrete.

[0008] As a preferred technical solution, the pressure monitoring module includes multiple pressure sensors. Among them, the pressure sensor installed on the side of the formwork can monitor the lateral pressure of the concrete on the formwork in real time, discover deformation or instability of the formwork in time, and ensure the stability of the formwork and the project quality; the pressure sensor installed on the jacking point or the support structure controls the jacking speed and jacking force by monitoring the change of pressure to ensure the safety and stability of the jacking construction; the pressure sensor installed in the concrete stacking area monitors the stacking pressure of the concrete to judge the stacking uniformity of the concrete and adjusts the construction parameters in time to ensure the stacking quality of the concrete.

[0009] As a preferred technical solution, the wireless sensing and remote monitoring module embeds or attaches temperature sensors, strain sensors, humidity sensors, and stress sensors in the concrete to collect relevant key parameters and transmits the changes in concrete temperature, strain, humidity, strength, and construction site environmental parameters collected in real time to the cloud server of the integrated management platform module.

[0010] As a preferred technical solution, it also includes a mixer truck management module. Through GPS and sensor fusion technology, it tracks the position of the mixer truck in real time, records the departure / arrival time, optimizes the transportation route and efficiency; identifies behaviors such as loading, mixing, and unloading, monitors the compliance of operations; limits the driving range, standardizes behaviors, and provides traceability of the transportation trajectory.

[0011] As a preferred technical solution, the mixer truck management module includes various sensors and a satellite positioning system receiver installed on the mixer truck. The precise positioning of the mixer truck is achieved through sensor data fusion and the satellite positioning system. The transportation time of the mixer truck is calculated using the positioning data and timestamp, and the loading, mixing, and unloading operation behaviors of the mixer truck are determined by analyzing the sensor data. The collected data is transmitted to the central server of the integrated management platform module through wireless communication technology for processing and analysis, realizing functions such as route planning, vehicle operation status detection, site management, and vehicle trajectory query of the mixer truck.

[0012] A method for collecting concrete pouring workload data uses the above-mentioned system for collecting concrete pouring workload data, including the following steps: installing the sensor module at a suitable position, and each sensor collects data in real time and transmits it to the integrated management platform module through wireless network or edge computing technology. The integrated management platform module performs data processing and analysis, optimizes the transportation route, equipment scheduling, and construction parameter configuration by combining data mining technology, verifies the grouting effect through numerical simulation, and continuously improves the construction process.

[0013] As a preferred technical solution, the installation of the sensor module includes: installing flow sensors at the concrete pump, the discharge port of the mixer truck, and the conveying pipeline to collect concrete flow rate, speed, and temperature data in real time; installing pressure sensors at the pumping pipeline, the side of the formwork, the jacking point, and the concrete accumulation area to monitor the pouring pressure and formwork side pressure parameters in real time; embedding temperature, strain, humidity, and stress sensors in the concrete, deploying environmental sensors at the construction site, and remotely transmitting data through wireless network; installing a GPS receiver and sensors on the mixer truck to obtain position, transportation time, and operation behavior data in real time; installing pressure, displacement, and flow sensors at key positions of the grouting equipment to collect key parameters during the grouting process.

[0014] As a preferred technical solution, the data processing and analysis adopt a real-time monitoring and pre-control method for the whole process of grouting construction based on digital twin: by analyzing the multi-source data collected, a three-dimensional model of the whole tunnel is established, and intelligent simulation and pre-control analysis of the grouting process are carried out to realize real-time monitoring and pre-control analysis of the grouting process. The specific implementation steps are as follows: Step S1: Data fusion: Adopt algorithms such as Kalman filter algorithm and particle filter algorithm to perform fusion processing on multi-source data to improve the accuracy and reliability of the data.

[0015] Step S2: Model establishment: Based on the fused data, establish a three-dimensional model of the whole tunnel to simulate the slurry diffusion and formation deformation during the grouting process.

[0016] Step S3: Real-time monitoring: Through the model, parameters such as slurry pressure, flow rate, and formation displacement during the grouting process are monitored in real time to promptly detect abnormal situations.

[0017] Step S4: Pre-control analysis: Based on the monitoring data, pre-control analysis of the grouting process is carried out to adjust the grouting parameters to ensure the grouting effect. The intelligent simulation results are verified using the numerical simulation results, and the final simulation results are output. The actual grouting process is controlled according to the final simulation results. The specific implementation steps are as follows: Step S6: Numerical simulation: Numerical simulation techniques such as the finite element method are used to simulate the grouting process to predict slurry diffusion and formation deformation. Step S7: Result verification: The numerical simulation results are compared and verified with the intelligent simulation results to ensure the accuracy of the simulation results. Step S8: Parameter adjustment: According to the verification results, the grouting parameters are adjusted to optimize the grouting process and improve the grouting effect.

[0018] A non-temporary storage medium is used to store a program, and this program is used to make the described concrete pouring workload data acquisition system perform the following actions: Execute the above-mentioned concrete pouring workload data acquisition method.

[0019] Compared with the prior art, the present solution has the following beneficial effects: (1) Comprehensively monitor the key parameters during the concrete pouring process. Through technical means such as flow monitoring, pressure sensing, and 4G wireless sensing, comprehensive monitoring of the key parameters during the concrete pouring process is achieved, including flow rate, pressure, temperature, strain, humidity, and stress, which can more comprehensively reflect the quality and state of the concrete pouring process and provide richer data support for construction personnel.

[0020] (2) Realize the refined management of the concrete pouring process. Through in-depth analysis and processing of the collected data, the refined management of the concrete pouring process is achieved. Real-time monitoring, early warning, and refined management are carried out based on the collected data, improving the controllability and quality of the construction process.

[0021] (3) Provide the functions of remote management and early warning for the equipment status. Using wireless sensing technology and the data processing and analysis module, the functions of remote management and early warning for the equipment status are achieved. It can not only give early warnings for abnormal information during the pouring process but also monitor and give early warnings for the equipment status in real time, improving the safety and reliability of equipment operation.

[0022] (4) Support construction progress control, quality inspection and cost estimation. By analyzing and processing the collected data, it provides a scientific basis for construction progress control, quality inspection and cost estimation, can provide comprehensive data support for construction progress control, quality inspection and cost estimation, and improves the comprehensive benefits of the construction process.

[0023] (5) Integrate a variety of monitoring technologies and data analysis methods. It integrates a variety of monitoring technologies such as flow monitoring, pressure sensing, 4G wireless sensing, etc., as well as data processing and analysis modules, realizing comprehensive monitoring and refined management of the concrete pouring process. It can collect and analyze data more comprehensively, providing richer information and more scientific decision-making support for construction personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0025] Figure 1 It is the ultrasonic image digital intelligent management workflow of the present invention; DETAILED DESCRIPTION OF THE INVENTION

[0026] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0027] Referring to Figure 1 , the present invention provides a data acquisition system for concrete pouring workload, mainly including the following modules: Flow monitoring module: Install flow sensors on concrete conveying equipment (such as concrete pumps, discharge ports of mixer trucks, conveying pipelines, etc.) to monitor the flow rate and pouring speed of concrete in real time. By measuring parameters such as the velocity, pressure, and temperature of the fluid, calculate the flow rate of concrete to achieve accurate measurement of concrete consumption and control of pouring speed.

[0028] Pressure sensing module: Install pressure sensors at positions such as concrete pumps, conveying pipelines, side of formwork, jacking points or support structures, and concrete stacking areas to monitor the pouring pressure of concrete, lateral pressure of formwork, jacking pressure, stacking pressure, etc. in real time. By monitoring the pressure changes, master the flow state and pouring situation of concrete, and adjust construction parameters in a timely manner to ensure construction quality.

[0029] 4G Wireless Sensing Module: It uses 4G wireless network to transmit data, and real-time transmits the data collected by temperature sensors, strain sensors, humidity sensors, stress sensors in concrete and environmental sensors at the construction site to the cloud server. Construction workers can remotely view the temperature, strain, humidity, strength changes of concrete and environmental parameters at the construction site through devices such as mobile phones or computers, so as to realize remote monitoring and early warning of the concrete hardening process, structural deformation, water content, and strength development.

[0030] Mixing Truck Position Monitoring Module: Based on sensing, satellite positioning and wireless communication technologies, it conducts positioning monitoring, transportation time and operation behavior judgment on the mixing truck. It realizes the precise positioning of the mixing truck through sensor data fusion and satellite positioning system (such as GPS), calculates the transportation time using positioning data and time stamps, and determines operation behaviors such as loading, mixing, and unloading of the mixing truck by analyzing sensor data. The mixing truck transmits positioning data, transportation time and operation behavior data to the central server through wireless communication technology for processing and analysis, providing data support for the route planning, vehicle operation status detection, station management and vehicle trajectory query of the mixing truck.

[0031] Grouting Process Monitoring Module: Based on sensing and wireless communication technologies, it monitors the grouting process. Appropriate sensors are selected and reasonably arranged at key positions of the grouting equipment to collect key data such as pressure, displacement, and flow rate during the grouting process in real time, and transmit the data to the central server through wireless communication technology. Develop an analysis and judgment algorithm for grouting process data, process and analyze the collected data, evaluate the grouting quality and construction status, and provide technical support for improving the efficiency and quality of the grouting project.

[0032] Data Processing and Analysis Module: It stores, processes and analyzes the collected flow rate, pressure, 4G wireless sensing data, mixing truck position monitoring data, grouting process monitoring data, etc. Through data analysis, it realizes real-time monitoring of the equipment operation status, fault early warning, historical data query and formulation of equipment maintenance plans, and at the same time provides a scientific basis for construction progress control, quality inspection, cost estimation, and project cost control.

[0033] The hardware configuration of this module is as follows: High-performance Servers and Storage Devices: High-performance servers and storage devices are adopted to store and process a large amount of collected data. These devices can ensure the high efficiency and accuracy of data processing. High-performance servers can quickly process a large amount of data, and storage devices can safely store data to ensure the integrity and availability of data.

[0034] Distributed Computing and Storage Technology: The Hadoop Distributed File System (HDFS) and the MapReduce programming model are adopted for distributed storage and parallel computing of large-scale data. This technology can improve the efficiency and reliability of data processing. Through distributed computing and storage technology, large-scale data can be processed and analyzed quickly, improving data processing efficiency.

[0035] The algorithms adopted are: 1) Machine learning algorithms: Decision tree algorithms, support vector machine algorithms, neural network algorithms, etc. are adopted to classify, predict, and cluster analyze the collected data. These algorithms can discover the patterns and trends in the data and provide decision-making support for construction personnel. The specific implementation steps are as follows: Data preprocessing: Perform preprocessing operations such as cleaning and normalization on the collected data to ensure the quality and consistency of the data.

[0036] Feature extraction: Extract key features from the preprocessed data as the input of machine learning algorithms.

[0037] Model training: Adopt machine learning algorithms to train the extracted features and establish classification, prediction, or clustering models.

[0038] Result analysis: Use the trained model to classify, predict, or cluster analyze new data and discover the patterns and trends in the data.

[0039] 2) Data mining algorithms: Association rule mining algorithms are adopted to mine historical data and discover the association relationships in the data. These algorithms can provide valuable decision-making information for construction personnel. The specific implementation steps are as follows: Data preparation: Extract relevant data from historical data and perform cleaning and preprocessing.

[0040] Association rule mining: Adopt association rule mining algorithms such as the Apriori algorithm to mine the association rules in the data.

[0041] Result evaluation: Evaluate the mined association rules, screen out valuable rules, and provide decision-making support for construction personnel.

[0042] The above is combined with the following concrete pouring workload data collection method to achieve data collection: Flow monitoring method: Install flow sensors on concrete conveying equipment to collect real-time flow data of concrete. By measuring parameters such as the velocity, pressure, and temperature of the fluid, calculate the flow rate of concrete, and control the pouring speed of concrete according to the monitored flow data to ensure the stability of construction progress and quality.

[0043] Pressure sensing method: Install pressure sensors at key positions where pressure needs to be monitored during concrete pouring, and collect pressure data in real time. By monitoring the pressure changes, grasp the flow state and pouring situation of the concrete, adjust the pumping speed and construction parameters in a timely manner to ensure the uniformity and quality of the concrete; monitor the lateral pressure of the formwork, detect the deformation or instability of the formwork in a timely manner, and ensure the stability of the formwork; monitor the pressure changes during the jacking process, control the jacking speed and force, and ensure the safety and stability of the jacking construction; monitor the stacking pressure of the concrete, judge the stacking uniformity of the concrete, adjust the construction parameters in a timely manner, and ensure the stacking quality of the concrete.

[0044] 4G wireless sensing method: Embed or attach 4G wireless sensors (such as temperature sensors, strain sensors, humidity sensors, stress sensors) in the concrete, and transmit the collected concrete temperature, strain, humidity, strength changes and construction site environmental parameters to the cloud server in real time through the 4G wireless network. Construction personnel can remotely view and analyze these data through devices such as mobile phones or computers, realize remote monitoring and early warning of the concrete hardening process, structural deformation, water content, and strength development, and adjust the construction parameters in a timely manner according to environmental conditions.

[0045] Mixing truck positioning and monitoring method: Install a variety of sensors (such as accelerometers, gyroscopes, inertial navigation systems, etc.) and satellite positioning system (such as GPS) receivers on the mixing truck. Achieve precise positioning of the mixing truck through sensor data fusion and satellite positioning system, calculate the transportation time of the mixing truck using the positioning data and timestamp, and determine the loading, mixing, unloading and other operation behaviors of the mixing truck by analyzing the sensor data. The mixing truck transmits the collected data to the central server through wireless communication technology for processing and analysis, realizing functions such as route planning, vehicle operation status detection, station management and vehicle trajectory query of the mixing truck.

[0046] Grouting process monitoring method: Arrange appropriate sensors at key positions of the grouting equipment to collect key data such as pressure, displacement, and flow rate during the grouting process in real time. Transmit the collected data to the central server through wireless communication technology, and use the developed analysis and determination algorithm for grouting process data to process and analyze the data, evaluate the grouting quality and construction status, and provide decision-making support for improving the efficiency and quality of the grouting project.

[0047] Data acquisition and transmission technology includes the following technologies: 1) Data acquisition system: Adopt a high-performance data acquisition system to preprocess and store the data collected by the sensors. The data acquisition system has high precision, high stability and high reliability, and can ensure the accuracy of the collected data. The data acquisition system can convert the analog signals collected by the sensors into digital signals, and perform preliminary processing and storage.

[0048] 2) Wireless communication technology: Adopting 4G wireless sensing technology, data is transmitted to the cloud server in real time. This technology can ensure the real-time and stability of data transmission, facilitating construction workers to view and analyze data at any time. Through the 4G wireless communication module, the data acquisition system can upload the collected data to the cloud server in real time, realizing remote monitoring and management.

[0049] 3) Edge computing technology: Preprocess data at the data acquisition end to reduce the amount of data transmission and improve data transmission efficiency. Edge computing technology can perform preliminary analysis and processing on data, reducing the burden on the central server. By integrating edge computing functions into the data acquisition system, the collected data can be preliminarily analyzed and processed, extracting key information and reducing the amount of data transmission.

[0050] The data analysis and decision-making algorithm is as follows: Real-time monitoring and pre-control method for the whole process of grouting construction based on digital twin: By analyzing the multi-source data collected, a three-dimensional model of the whole tunnel is established, and intelligent simulation and pre-control analysis of the grouting process are carried out. This method can realize real-time monitoring and pre-control analysis of the grouting process, improving the quality and efficiency of grouting construction. The specific implementation steps are as follows: Data fusion: Adopt Kalman filtering algorithm, particle filtering algorithm, etc. to fuse and process multi-source data, improving the accuracy and reliability of data.

[0051] Model establishment: Based on the fused data, establish a three-dimensional model of the whole tunnel to simulate the slurry diffusion and formation deformation during the grouting process.

[0052] Real-time monitoring: Through the model, real-time monitor parameters such as slurry pressure, flow rate and formation displacement during the grouting process, and promptly detect abnormal situations.

[0053] Pre-control analysis: According to the monitoring data, conduct pre-control analysis of the grouting process, adjust the grouting parameters to ensure the grouting effect.

[0054] Verification of numerical simulation results: Use the numerical simulation results to verify the intelligent simulation results, output the final simulation results, and control the actual grouting process according to the final simulation results. This method can ensure the accuracy and reliability of the grouting process. The specific implementation steps are as follows: Numerical simulation: Adopt numerical simulation technologies such as the finite element method to simulate the grouting process and predict the slurry diffusion and formation deformation.

[0055] Result verification: Compare and verify the numerical simulation results with the intelligent simulation results to ensure the accuracy of the simulation results.

[0056] Parameter adjustment: According to the verification results, adjust the grouting parameters, optimize the grouting process, and improve the grouting effect. The following will be specifically elaborated in combination with multiple embodiments: Embodiment

[0057] During the concrete pouring construction of a certain building project, in order to accurately control the pouring speed and dosage of concrete, an electromagnetic flow sensor is installed at the outlet of the concrete pump, and ultrasonic flow sensors are installed at the outlets of the concrete mixer trucks and on the conveying pipelines. The flow data of the concrete is collected in real time through these flow sensors and transmitted to the data acquisition device. After the data acquisition device preliminarily processes the received flow data, it is then transmitted to the data processing system. The data processing system analyzes the changing trend of the flow data according to the preset algorithm to determine whether the pouring speed of the concrete meets the construction requirements. If the pouring speed is too fast or too slow, the system will automatically send an alarm signal to remind the construction personnel to adjust the pumping speed or the discharging speed of the mixer truck in a timely manner. At the same time, the system will store the collected flow data and analysis results in the database for the construction personnel to query and analyze at any time, so as to evaluate the construction progress and quality. Embodiment

[0058] During the concrete pouring process of another building project, in order to ensure the construction quality and safety, pressure sensors are installed on the conveying pipeline of the concrete pump, on the side of the formwork, at the jacking points, and within the concrete accumulation area. The data such as the pouring pressure, lateral pressure of the formwork, jacking pressure, and accumulation pressure of the concrete are collected in real time through these pressure sensors and transmitted to the data acquisition device. After the data acquisition device preliminarily processes the received pressure data, it is then transmitted to the data processing system. The data processing system analyzes the changing trend of the pressure data according to the preset algorithm to determine the flow state and pouring situation of the concrete. If the pressure data is abnormal, the system will automatically send an alarm signal to remind the construction personnel to adjust the construction parameters in a timely manner to avoid problems such as formwork deformation and unstable jacking construction. At the same time, the system will store the collected pressure data and analysis results in the database for the construction personnel to query and analyze at any time, so as to evaluate the construction quality and safety. Embodiment

[0059] In the concrete pouring construction of a certain bridge project, in order to remotely monitor the concrete hardening process, 4G wireless temperature sensors, strain sensors, humidity sensors, and stress sensors are embedded in the concrete. These sensors transmit the data collected on the concrete temperature, strain, humidity, strength changes, etc. to the cloud server in real time through the 4G wireless network. Construction workers can remotely view this data through devices such as mobile phones or computers to understand the concrete hardening process and structural deformation conditions in real time. When the concrete temperature changes abnormally or the strain exceeds the preset threshold, the system will automatically send an alarm signal to remind the construction workers to take timely measures, such as adjusting the curing measures or conducting a structural safety assessment. At the same time, the system will store the collected data and analysis results in the database for construction workers to query and analyze at any time in order to evaluate the construction quality and safety. Embodiment

[0060] In the concrete pouring construction of a certain large-scale building project, in order to comprehensively monitor the transportation process and operation behavior of the mixer truck, sensors such as accelerometers, gyroscopes, inertial navigation systems, etc. and GPS receivers are installed on the mixer truck. Through sensor data fusion and the satellite positioning system, the precise positioning of the mixer truck is achieved, and the position information and dynamic information of the mixer truck are obtained in real time. When the mixer truck enters the area to be poured, the system will automatically obtain the status information of the mixer truck, including position information and weight information. When the mixer truck reaches the target pouring position, the system determines the current pouring task based on the weight information of the mixer truck and starts monitoring the operation behavior of the mixer truck. By analyzing the sensor data, the system can determine the operation behaviors of the mixer truck such as loading, mixing, and discharging, and monitor the transportation time in real time. If the transportation time of the mixer truck exceeds the preset threshold or there is an abnormal stop, the system will automatically send an alarm signal to remind the construction workers to intervene in time. At the same time, the system will store the collected data and analysis results in the database for construction workers to query and analyze at any time in order to evaluate and optimize the transportation process and operation behavior. Embodiment

[0061] In the concrete grouting construction of a certain tunnel project, in order to comprehensively monitor the grouting process, pressure sensors, displacement sensors, and flow sensors are installed at key positions of the grouting equipment. These sensors collect key data such as pressure, displacement, and flow during the grouting process in real time and transmit the data to the central server through wireless communication technology. The central server uses the developed analysis and determination algorithm for grouting process data to process and analyze the collected data and evaluate the grouting quality and construction status. If the grouting pressure, displacement, or flow data is abnormal, the system will automatically send an alarm signal to remind the construction workers to adjust the grouting parameters in time to ensure the grouting quality. At the same time, the system will store the collected data and analysis results in the database for construction workers to query and analyze at any time in order to evaluate and optimize the grouting process.

[0062] Among them, the sensor selection and layout are as follows: Grouting pressure sensor: A high-precision pressure sensor is adopted to monitor the pressure change of the grout in real time during the grouting process. This sensor can reflect the compactness and uniformity of grouting, with an accuracy of up to ±0.5% FS, a working pressure range of 0 - 40 MPa, and an IP67 protection level. By installing a pressure sensor on the grouting pipeline, the pressure data of the grout can be obtained in real time, providing a basis for subsequent data analysis.

[0063] Displacement sensor: It is used to monitor the formation displacement caused by grouting. A high-precision displacement sensor is adopted, which can monitor the minute changes of the formation in real time. By arranging displacement sensors around the grouting area, the displacement situation of the formation during the grouting process can be obtained, helping to evaluate the grouting effect.

[0064] Flow sensor: It is used to monitor the flow rate of the grout. A high-precision flow sensor is adopted, which can monitor the flow rate change of the grout in real time. By installing a flow sensor on the outlet pipeline of the grouting pump, the flow rate of the grout can be accurately measured, providing a basis for the control of the grouting process.

[0065] Compared with the prior art, the data acquisition system for the concrete pouring workload has the following beneficial effects: (1) Real-time monitoring and dynamic adjustment: Key parameters during the concrete pouring process are collected in real time through sensors such as flow rate, pressure, and temperature. Construction personnel can grasp the construction progress and quality status at any time, and adjust the pouring speed, pumping parameters, etc. in a timely manner to avoid construction delays or quality problems.

[0066] (2) Improve construction quality and safety. Pressure monitoring: Real-time monitoring of formwork side pressure, jacking pressure, etc., preventing formwork deformation or jacking instability and ensuring construction safety. Grouting quality assurance: Through real-time monitoring of grouting pressure, flow rate, and displacement, optimize grouting parameters to avoid uneven grout distribution or formation deformation. Early warning function: Automatically trigger alarms for equipment abnormalities, pressure overlimit, transportation overtime, etc., reducing the accident risk.

[0067] (3) Remote management and efficient collaboration: With the help of 4G wireless sensing technology, construction personnel can remotely view the concrete hardening status, equipment operation data, and mixer truck trajectory through mobile phones or computers, reducing the on-site manpower requirement and improving management efficiency.

[0068] (4) Data-driven refined management. Data analysis and prediction: Using technologies such as machine learning and digital twin, analyze the historical data patterns, predict equipment failures or construction abnormalities, and optimize the maintenance plan. Construction cost optimization: Through the analysis of the mixer truck transportation route and accurate measurement of the pouring consumption, reduce material waste and transportation costs, and support project cost control.

[0069] (5) High precision and reliability. High-precision sensors (such as pressure sensors with ±0.5% FS) and data fusion technologies such as Kalman filtering are adopted to ensure the accuracy of the collected data and provide a reliable basis for quality assessment.

[0070] Support full-process traceability and improvement. All data is stored in the cloud server, supporting historical data query and trend analysis, facilitating quality traceability, process improvement, and accident review. Combining numerical simulation and association rule mining, continuously optimize the construction plan (such as grouting diffusion simulation, transportation route planning).

[0071] Reduce equipment operation and maintenance costs. Through real-time monitoring of equipment status and fault warning, reduce unplanned downtime, extend the service life of equipment, and reduce maintenance costs.

[0072] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A data acquisition system for concrete pouring workload, characterized in that, Including: A flow monitoring module, which is used to monitor the flow rate and pouring speed of concrete conveying equipment in real time. By combining a flow sensor with a density sensor, it indirectly evaluates the quality and uniformity of concrete and promptly detects abnormal conditions of the concrete pump; A pressure monitoring module, which is used to monitor the concrete pouring pressure, formwork lateral pressure, jacking construction pressure and stacking pressure. It judges the concrete flow state, formwork stability and construction safety through pressure changes; at the same time, it provides an early warning function to prevent equipment failures or structural instability; A wireless sensing and remote monitoring module, which is used to complete environmental monitoring, structural monitoring and remote information exchange; A grouting process monitoring module; it monitors the key parameters of pressure, displacement and flow rate during the grouting process in real time, analyzes the data using algorithms, evaluates the grouting uniformity and construction quality, and transmits the data to the integrated management platform module through wireless transmission technology; An integrated management platform module, which receives data from other modules through wireless transmission technology and supports algorithm determination, trend prediction and report generation through a data analysis engine.

2. The concrete pouring workload data acquisition system according to claim 1, characterized in that, The flow monitoring module includes multiple flow monitoring instruments. Among them, the flow monitoring instrument installed on the pipeline calculates the flow rate of the fluid by measuring the velocity, pressure and temperature parameters of the fluid passing through the pipeline; the flow monitoring instrument installed on the concrete conveying equipment monitors the flow rate and pouring speed of concrete in real time, and controls the pouring speed of concrete according to the monitored flow rate data to ensure the stability of the construction progress and quality; the flow sensor installed on the concrete pump monitors the flow rate of the concrete pump in real time, and detects abnormal conditions of the concrete pump by monitoring the flow rate; the flow sensor installed on the concrete tank is used to monitor the feeding speed and consumption of concrete in real time, providing an accurate data basis for subsequent concrete pouring; the flow sensor installed at the concrete conveying pipeline or the discharge port monitors the flow rate and density of concrete in real time, thereby indirectly evaluating the quality and uniformity of concrete.

3. The concrete pouring workload data acquisition system according to claim 1, wherein, The pressure monitoring module includes multiple pressure sensors. Among them, the pressure sensor installed on the side of the formwork can monitor the lateral pressure of the concrete on the formwork in real time, promptly detect the deformation or instability of the formwork, and ensure the stability of the formwork and the project quality; the pressure sensor installed at the jacking point or the support structure controls the jacking speed and jacking force by monitoring the pressure change to ensure the safety and stability of the jacking construction; the pressure sensor installed in the concrete stacking area monitors the stacking pressure of the concrete to judge the stacking uniformity of the concrete and promptly adjusts the construction parameters to ensure the stacking quality of the concrete. The stacking uniformity of the concrete, and promptly adjusts the construction parameters to ensure the stacking quality of the concrete.

4. The concrete pouring workload data acquisition system according to claim 1, characterized in that, The wireless sensing and remote monitoring module embeds or attaches temperature sensors, strain sensors, humidity sensors, and stress sensors in the concrete to collect relevant key parameters and transmits the collected changes in concrete temperature, strain, humidity, strength, and construction site environmental parameters to the cloud server of the integrated management platform module in real time.

5. The concrete pouring workload data acquisition system according to claim 1, characterized in that It also includes a mixer truck management module that, through GPS and sensor fusion technology, real-time tracks the position of the mixer truck, records the departure / arrival time, optimizes the transportation route and efficiency; identifies behaviors such as loading, mixing, and unloading, and monitors the compliance of operations; limits the driving range, standardizes behaviors, and provides traceability of the transportation trajectory.

6. The concrete pouring workload data acquisition system according to claim 5, wherein The mixer truck management module includes a variety of sensors and satellite positioning system receivers installed on the mixer truck. It achieves precise positioning of the mixer truck through sensor data fusion and the satellite positioning system, calculates the transportation time of the mixer truck using positioning data and timestamps, determines the loading, mixing, and unloading operation behaviors of the mixer truck by analyzing sensor data, and transmits the collected data to the central server of the integrated management platform module through wireless communication technology for processing and analysis, realizing functions such as route planning, vehicle operation status detection, station management, and vehicle trajectory query of the mixer truck.

7. A method for collecting data on the amount of concrete pouring work, characterized in that, Using a concrete pouring workload data acquisition system as described in any one of claims 1 to 6 above, it includes the following steps: installing the sensor module at a suitable position, where each sensor real-time collects data and transmits it to the integrated management platform module through wireless network or edge computing technology. The integrated management platform module performs data processing and analysis, combines data mining technology to optimize the transportation route, equipment scheduling, and construction parameter configuration, and verifies the grouting effect through numerical simulation and continuously improves the construction process.

8. A method for collecting concrete pouring workload data as claimed in claim 7, wherein The installation of the sensor module includes: installing flow sensors at the concrete pump, the discharge port of the mixer truck, and the conveying pipeline to real-time collect data such as concrete flow rate, speed, and temperature; installing pressure sensors at the pumping pipeline, the side of the formwork, the jacking point, and the concrete accumulation area to real-time monitor the pouring pressure and formwork side pressure parameters; embedding temperature, strain, humidity, and stress sensors in the concrete, deploying environmental sensors at the construction site, and remotely transmitting data through wireless network; installing a GPS receiver and sensors on the mixer truck to real-time obtain position, transportation time, and operation behavior data; installing pressure, displacement, and flow sensors at key positions of the grouting equipment to collect key parameters during the grouting process.

9. The method for collecting data on the amount of concrete pouring work according to claim 7, characterized in that The data processing and analysis adopt a real-time monitoring and pre-control method for the whole process of grouting construction based on digital twin: by analyzing the collected multi-source data, establishing an overall three-dimensional model of the tunnel, and performing intelligent simulation and pre-control analysis on the grouting process to achieve real-time monitoring and pre-control analysis of the grouting process. The specific implementation steps are as follows: Step S1: Data fusion: Adopting algorithms such as Kalman filter algorithm and particle filter algorithm to perform fusion processing on multi-source data to improve the accuracy and reliability of the data; Step S2: Model establishment: Based on the fused data, establishing an overall three-dimensional model of the tunnel to simulate the slurry diffusion and formation deformation during the grouting process; Step S3: Real-time monitoring: Through the model, real-time monitoring the parameters such as slurry pressure, flow rate, and formation displacement during the grouting process to timely detect abnormal situations; Step S4: Pre-control analysis: Based on the monitoring data, conduct pre-control analysis of the grouting process, adjust the grouting parameters to ensure the grouting effect; Verify the intelligent simulation results using the numerical simulation results, output the final simulation results, and control the actual grouting process according to the final simulation results. The specific implementation steps are as follows: Step S6: Numerical simulation: Use numerical simulation techniques such as the finite element method to simulate the grouting process and predict the slurry diffusion and formation deformation; Step S7: Result verification: Compare and verify the numerical simulation results with the intelligent simulation results to ensure the accuracy of the simulation results; Step S8: Parameter adjustment: According to the verification results, adjust the grouting parameters, optimize the grouting process, and improve the grouting effect.

10. A non-transitory storage medium, characterized in that, It is used to store a program, and this program is used to make a concrete pouring workload data acquisition system as described in claims 1 to 6 perform the following actions: execute a concrete pouring workload data acquisition method as described in any one of claims 7 to 9 above.

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