Method for monitoring temperature and flow rate of water in mass concrete

Abstract

The application discloses a kind of mass concrete water temperature and flow rate monitoring method, comprising: step one, sensing layer data collection;Step two, transmission layer will the data collected by sensing layer transmission to platform layer;Step three, platform layer is handled, storage and analysis to the data received;Step four, application layer judges whether there is temperature abnormal risk, if there is temperature abnormal risk, application layer generates early warning information, then step five is carried out;If there is no temperature abnormal risk, application layer does not generate early warning information, then step one~Step four is continued to judge whether there is temperature abnormal risk;Step five, application layer generates control suggestion or automatically generates control instruction;Step six, control layer executes control instruction and adjusts cooling water flow;Step seven, step one~Step four is carried out, and the control effect is verified, and closed-loop control is formed.The monitoring method can realize fine temperature control, and ensure that temperature gradient in the process of concrete solidification is in safe range.

Description

Technical Field

[0001] This invention relates to the field of building engineering technology, and in particular to a method for monitoring the temperature and flow rate of water flowing through large-volume concrete. Background Technology

[0002] During the pouring of large-volume concrete (such as hydraulic dams with a volume generally exceeding 200m³, bridge abutments with a volume generally exceeding 150m³, and high-rise building foundations with a volume generally exceeding 100m³), the cement hydration reaction releases a large amount of heat, causing a rapid increase in the internal temperature of the concrete. If the temperature difference between the inside and outside is too large (generally exceeding 25℃), temperature stress cracks are likely to occur, seriously affecting the structural safety and durability. Traditionally, pre-embedded cooling water pipes are used to remove heat through circulating water and control the internal temperature of the concrete. However, traditional monitoring of cooling water pipes relies on manual periodic sampling, which suffers from outdated monitoring methods, poor data timeliness, and insufficient parameter correlation. Summary of the Invention

[0003] One of the objectives of this invention is, at least, to provide a method for monitoring the temperature and flow rate of water flowing through large-volume concrete, addressing the problems existing in the prior art. This method enables precise temperature control by constructing an online system that monitors the water temperature and flow rate at the inlet and outlet of the cooling water pipe in real time. Through data feedback, the water flow rate or temperature is dynamically adjusted to ensure that the temperature gradient during the concrete solidification process remains within a safe range, thereby fundamentally guaranteeing the quality of concrete pouring.

[0004] To achieve the above objectives, the technical solution adopted by the present invention includes the following aspects.

[0005] A method for monitoring the temperature and flow rate of water flowing through large-volume concrete includes the following steps: Step 1: The sensing layer collects data. The sensing layer includes a water temperature sensor for real-time monitoring of the inlet and outlet water temperatures, and an ultrasonic heat meter for real-time monitoring of water flow rate and velocity. Step 2: The transmission layer transmits the data collected by the perception layer to the platform layer. The transmission layer transmits data using a hybrid wired and wireless transmission method. The transmission layer includes an integrated data acquisition device and an intelligent telemetry terminal. Step 3: The platform layer processes, stores, and analyzes the received data. The platform layer is for external system integration and includes a data processing module, a data storage module, and an AI analysis module. Step 4: The application layer determines whether there is a risk of abnormal temperature. If there is a risk of abnormal temperature, the application layer generates an early warning message and then proceeds to step 5. If there is no risk of abnormal temperature, the application layer does not generate an early warning message and then proceeds to steps 1 to 4 to continue determining whether there is a risk of abnormal temperature. Step 5: The application layer generates control suggestions or automatically generates control instructions; Step six: The control layer executes regulation commands to adjust the cooling water flow rate. The control layer includes electronic switching valves that control and adjust the cooling water flow rate through a valve control cabinet. The valve control cabinet receives regulation commands transmitted from the application layer. Step 7: Perform steps 1 through 4 to verify the control effect and form a closed-loop control.

[0006] Preferably, in step one, the water temperature sensor is a YW-WTS water temperature sensor, which is installed at the inlet and outlet of the cooling water pipe branch pipe, close to the concrete. Multiple cooling water pipe branches are pre-embedded in the concrete, with the inlet and outlet of each branch pipe located outside the concrete. A water temperature sensor is installed at the inlet and outlet of each branch pipe. The ultrasonic heat meter is a YW-UHM ultrasonic heat meter, which is installed at the outlet of the cooling water pipe branch pipe, away from the concrete.

[0007] Preferably, in step one, the sensing layer further includes a digital thermometer for real-time monitoring of the internal temperature of the concrete. The digital thermometer is a YW-TTS digital thermometer, which is embedded in the concrete. The concrete is divided into three layers: upper, middle, and lower, and each layer is provided with multiple digital thermometers at intervals. The sensing layer also includes an environmental sensor for real-time monitoring of temperature and humidity, and a stress sensor for real-time monitoring of concrete stress and strain. The environmental sensor and the stress sensor are embedded in the concrete.

[0008] Preferably, in step two, the integrated data acquisition device is a YW-WDC integrated data acquisition device, which is wired or wirelessly connected to the water temperature sensor, and the data collected by the water temperature sensor is transmitted to the platform layer wirelessly or wirelessly through the integrated data acquisition device; the intelligent telemetry terminal is a YW-RTU intelligent telemetry terminal, which is installed at the outlet of the cooling water pipe branch and wired or wirelessly connected to the ultrasonic heat meter, and the ultrasonic heat meter transmits the collected data to the platform layer through the intelligent telemetry terminal wirelessly or wirelessly.

[0009] Preferably, in step two, digital thermometers are pre-embedded in the concrete, and the integrated data acquisition device is connected to each of the digital thermometers via wired or wireless means. The digital thermometers transmit the collected data to the platform layer via the integrated data acquisition device in a wireless or wired manner. When environmental sensors and stress sensors are pre-embedded in the concrete, the integrated data acquisition device is connected to the environmental sensors and stress sensors via wired or wireless means. The environmental sensors and stress sensors transmit the collected data to the platform layer via the integrated data acquisition device in a wireless or wired manner.

[0010] Preferably, in step three, the platform layer integrates an engineering management system with a third-party cloud platform, and the data processing module, data storage module, and AI analysis module jointly establish a water temperature-flow rate-temperature difference disconnection model.

[0011] Preferably, in step three, the AI ​​analysis module includes an intelligent early warning model, an adaptive control model, an anomaly diagnosis model, and a trend prediction model, wherein the intelligent early warning model has a preset threshold.

[0012] Preferably, in step four, the application layer includes a PC-based management platform and a mobile mini-program, with command synchronization and interaction between the PC-based management platform and the mobile mini-program.

[0013] Preferably, in step four, the application layer determines the risk of abnormal temperature based on the threshold preset by the intelligent early warning model and the analysis results of the AI ​​analysis module.

[0014] Preferably, in step six, the electronic switch valve is a YW-ECV electronic switch valve, and multiple cooling water pipe branches are connected through the main cooling water pipe. The main cooling water pipe is located at the inlet of the cooling water pipe branches. The electronic switch valve is installed on the main cooling water pipe and is arranged close to the cooling water pipe branches. The valve control cabinet transmits control commands to the application layer wirelessly.

[0015] In summary, by adopting the above technical solution, the present invention has at least the following beneficial effects: 1. This monitoring method boasts advantages such as strong real-time performance, accurate early warning, adaptive regulation, and closed-loop control. It can improve the accuracy of controlling the internal and external temperature difference of concrete to ±2℃, reducing the incidence of temperature cracks by over 90%. Through fully automated monitoring and regulation, this method reduces manual intervention, provides highly real-time data with comprehensive coverage, and achieves complete closed-loop control from data acquisition → transmission → analysis → decision-making → execution → feedback. It adaptively adjusts cooling water parameters to ensure continuous optimization of the temperature control process, thereby improving temperature control accuracy and construction efficiency. 2. Compared to traditional manual monitoring methods, this method achieves fully automated, all-time, and full-pipeline monitoring of cooling water pipes, replacing manual spot checks and improving data timeliness and coverage. This method also features intelligent and precise early warning capabilities. Based on multi-parameter correlation analysis and an AI model (intelligent early warning model), it promptly detects temperature anomalies, providing early warnings and preventing problems before they occur. This not only reduces manual inspection costs but also avoids the risk of concrete temperature cracks, lowers repair costs, and improves construction efficiency and project quality. Furthermore, this method achieves adaptive control. Through AI algorithms analyzing multi-parameter data, it provides precise control suggestions, reducing reliance on manual experience and significantly improving concrete temperature control quality and construction safety. Attached Figure Description

[0016] Figure 1 A flowchart illustrating the monitoring of water temperature and flow rate in large-volume concrete, as an exemplary embodiment of the present invention.

[0017] Figure 2 This is a schematic diagram of the structure of a monitoring system for the temperature and flow rate of water in a large-volume concrete structure, which is an exemplary embodiment of the present invention.

[0018] The diagram shows the following components: 1-Water temperature sensor, 2-Ultrasonic heat meter, 3-Integrated data acquisition unit, 4-Intelligent telemetry terminal, 5-Electronic switch valve, 6-Valve control cabinet, 7-Concrete, 8-Branch pipe of cooling water, 9-Main pipe of cooling water. Detailed Implementation

[0019] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments, so that the objectives, technical solutions, and advantages of the present invention will be clearer. It should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the present invention.

[0020] In the description of this invention, it should be understood that if terms such as "upper," "lower," "left," and "right" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, they are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or component referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the accompanying drawings are only for illustrative purposes and should not be construed as limiting this patent. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances. Example

[0021] This embodiment illustrates a method for monitoring the water temperature and flow rate in large-volume concrete. Figure 1 Its monitoring flowchart is shown. Figure 2 The monitoring system for the temperature and flow rate of water flowing through large-volume concrete, as described in this monitoring method, comprises a sensing layer, a transmission layer, a platform layer, an application layer, and a control layer. The monitoring method for the temperature and flow rate of water flowing through large-volume concrete includes the following steps: Step 1: The sensing layer collects data. The sensing layer includes a water temperature sensor 1 for real-time monitoring of the inlet and outlet water temperatures, and an ultrasonic heat meter 2 for real-time monitoring of water flow rate and velocity. The water temperature sensor 1 is a YW-WTS water temperature sensor, installed at the inlet and outlet of the cooling water branch pipe 8, close to the concrete 7. Multiple cooling water branch pipes 8 are pre-embedded in the concrete 7, with their inlets and outlets located outside the concrete 7. A water temperature sensor 1 is installed at the inlet and outlet of each cooling water branch pipe 8. The water temperature sensor 1 is used to monitor the inlet and outlet water temperatures of the cooling water branch pipe 8 in real time. The ultrasonic heat meter 2 is a YW-UHM ultrasonic heat meter, installed at the outlet of the cooling water branch pipe 8, away from the concrete 7. The ultrasonic heat meter 2 is used to monitor the water flow rate and velocity of the cooling water branch pipe 8 in real time. The sensing layer also includes a digital thermometer, which is a YW-TTS digital thermometer. The digital thermometer is embedded in the concrete 7. The concrete 7 is divided into three layers: upper, middle and lower, and multiple digital thermometers are arranged at intervals in each layer. The digital thermometer is used to monitor the internal temperature of the concrete 7 in real time. In actual use, the sensing layer also includes an environmental sensor and a stress sensor embedded in the concrete 7. The environmental sensor is used to monitor the temperature and humidity in real time, and the stress sensor is used to monitor the stress and strain of the concrete 7 in real time. Step two: The transmission layer transmits the data collected by the sensing layer to the platform layer. The transmission layer uses a hybrid wired and wireless transmission method for data transmission. The transmission layer includes an integrated data acquisition unit 3 and an intelligent telemetry terminal 4. The integrated data acquisition unit 3 is a YW-WDC integrated data acquisition unit, which is connected to the water temperature sensor 1 via wired or wireless connection. The data collected by the water temperature sensor 1 is transmitted to the platform layer wirelessly via the integrated data acquisition unit 3 (e.g., using 4G, 5G, or LoRa wireless transmission; or via wired transmission, such as RS485 wired transmission). The intelligent telemetry terminal 4 is a YW-RTU intelligent telemetry terminal, which is installed at the outlet of the cooling water pipe branch 8 and connected to the ultrasonic heat meter 2 via wired or wireless connection. The ultrasonic heat meter 2 transmits the collected data to the platform layer via the intelligent telemetry terminal 4 via wired transmission (e.g., using RS485 wired transmission; or via wireless transmission, such as 4G, 5G, or LoRa wireless transmission). Digital thermometers are pre-embedded in the concrete 7. The integrated data acquisition unit 3 is connected to each of the digital thermometers via wired or wireless means. The digital thermometers transmit the collected data to the platform layer wirelessly through the integrated data acquisition unit 3 (e.g., using 4G, 5G, or LoRa wireless transmission; wired transmission, such as RS485 wired transmission, is also possible). When environmental sensors and stress sensors are pre-embedded in the concrete 7, the integrated data acquisition unit 3 is connected to the environmental sensors and stress sensors via wired or wireless means. The environmental sensors and stress sensors transmit the collected data to the platform layer wirelessly through the integrated data acquisition unit 3 (e.g., using 4G, 5G, or LoRa wireless transmission; wired transmission, such as RS485 wired transmission, is also possible). Step 3: The platform layer processes, stores, and analyzes the received data. This platform layer integrates with external systems and includes a data processing module, a data storage module, and an AI analysis module. The platform layer integrates with an engineering management system and a third-party cloud platform to improve data interaction efficiency, optimize business processes, and enhance security and risk management. The data processing module, data storage module, and AI analysis module respectively process (clean), store, and intelligently analyze the data, and jointly establish a water temperature-flow rate-temperature difference disconnection model. The AI ​​analysis module includes four AI models: an intelligent early warning model, an adaptive control model, an anomaly diagnosis model, and a trend prediction model. The intelligent early warning model has preset thresholds and is based on multi-parameter correlation analysis to achieve early and accurate fault and over-temperature warnings. The adaptive control model dynamically recommends optimal control parameters based on real-time temperature difference and trends. The anomaly diagnosis model automatically diagnoses faults such as sensor failure and pipeline blockage and locates the root cause. The trend prediction model analyzes multi-parameter data using AI algorithms (such as LSTM) to predict the temperature change trend of concrete 7 in the next few hours. Step four: The application layer determines whether there is a risk of abnormal temperature. If there is a risk, the application layer generates an early warning message and then proceeds to step five. If there is no risk of abnormal temperature, the application layer does not generate an early warning message and then proceeds to steps one through four to continue determining whether there is a risk of abnormal temperature. The application layer includes a PC-based management platform and a mobile app, with synchronized and interactive commands between them. The application layer provides a visual interface and operational functions to display monitoring data. Based on the thresholds preset by the intelligent early warning model and the analysis results from the AI ​​analysis module, the application layer determines whether there is a risk of abnormal temperature. The PC-based management platform includes project overview, real-time monitoring, data analysis, AI control suggestions, report management, and system management. The mobile app includes project dashboards, real-time data, alarm notifications, on-site control, inspection records, and production briefings. Step 5: The application layer generates control suggestions or automatically generates control instructions. Based on the threshold preset by the intelligent early warning model and the analysis results of the AI ​​analysis module, the application layer determines that there is a risk of abnormal temperature and generates control suggestions or automatically generates control instructions. Step six: The control layer executes regulation commands to adjust the cooling water flow rate. The control layer includes an electronic switch valve 5 that controls and adjusts the cooling water flow rate via a valve control cabinet 6. The valve control cabinet 6 receives regulation commands transmitted from the application layer. The control layer includes the electronic switch valve 5, which is a YW-ECV electronic switch valve. Multiple cooling water branch pipes 8 are connected via a main cooling water pipe 9. The main cooling water pipe 9 is located at the inlet of the branch pipes 8. The electronic switch valve 5 is installed on the main cooling water pipe 9 and is positioned close to the branch pipes 8. The electronic switch valve 5 controls and adjusts the cooling water flow rate via the valve control cabinet 6. The valve control cabinet 6 transmits regulation commands to the application layer wirelessly. Step 7: Perform steps 1 through 4 to verify the control effect and form a closed-loop control; form a complete closed-loop control of data acquisition → transmission → analysis → decision-making → execution → feedback, continuously monitor data changes after control, and ensure continuous optimization of the temperature control process.

[0022] The above description is merely a detailed illustration of specific embodiments of the present invention and is not intended to limit the invention. Various substitutions, modifications, and improvements made by those skilled in the art without departing from the principles and scope of the present invention should be included within the protection scope of the present invention.

Claims

1. A method of monitoring temperature and flow rate of water passing through mass concrete, characterized by, Includes the following steps: Step 1: The sensing layer collects data. The sensing layer includes a water temperature sensor (1) for real-time monitoring of inlet and outlet water temperature, and an ultrasonic heat meter (2) for real-time monitoring of water flow rate and velocity. Step 2: The transmission layer transmits the data collected by the perception layer to the platform layer. The transmission layer transmits data in a hybrid wired + wireless transmission mode. The transmission layer includes an integrated data acquisition device (3) and an intelligent telemetry terminal (4). Step 3: The platform layer processes, stores, and analyzes the received data. The platform layer is for external system integration and includes a data processing module, a data storage module, and an AI analysis module. Step four: The application layer determines whether there is a risk of abnormal temperature. If there is a risk of abnormal temperature, the application layer generates an early warning message and then proceeds to step five. If there is no risk of abnormal temperature, the application layer does not generate a warning message, and then proceeds to steps one through four to continue to determine whether there is a risk of abnormal temperature. Step 5: The application layer generates control suggestions or automatically generates control instructions; Step 6: The control layer executes the regulation command to adjust the cooling water flow rate. The control layer includes an electronic switch valve (5) that controls and adjusts the cooling water flow rate through a valve control cabinet (6). The valve control cabinet (6) receives the regulation command transmitted from the application layer. Step 7: Perform steps 1 through 4 to verify the control effect and form a closed-loop control.

2. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 1, characterized in that, In step one, the water temperature sensor (1) is a YW-WTS water temperature sensor. The water temperature sensor (1) is installed at the inlet and outlet of the cooling water pipe branch (8) and is laid close to the concrete (7). Multiple cooling water pipe branches (8) are pre-embedded in the concrete (7), and the inlet and outlet of the cooling water pipe branch (8) are located outside the concrete (7). A water temperature sensor (1) is installed at the inlet and outlet of each cooling water pipe branch (8). The ultrasonic heat meter (2) is a YW-UHM ultrasonic heat meter. The ultrasonic heat meter (2) is installed at the outlet of the cooling water pipe branch (8) and is laid away from the concrete (7).

3. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 2, characterized in that, In step one, the sensing layer also includes a digital thermometer for real-time monitoring of the internal temperature of the concrete (7). The digital thermometer is a YW-TTS digital thermometer, which is embedded in the concrete (7). The concrete (7) is divided into three layers: upper, middle and lower, and each layer is provided with multiple digital thermometers at intervals. The sensing layer also includes an environmental sensor for real-time monitoring of temperature and humidity, and a stress sensor for real-time monitoring of stress and strain of the concrete (7). The environmental sensor and the stress sensor are embedded in the concrete (7).

4. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 2, characterized in that, In step two, the integrated data acquisition device (3) adopts the YW-WDC integrated data acquisition device, and connects the integrated data acquisition device (3) to the water temperature sensor (1) via wired or wireless means, and transmits the data collected by the water temperature sensor (1) to the platform layer via the integrated data acquisition device (3) in a wireless or wired manner; the intelligent telemetry terminal (4) adopts the YW-RTU intelligent telemetry terminal, and installs the intelligent telemetry terminal (4) at the outlet of the cooling water pipe branch (8), and connects it to the ultrasonic heat meter (2) via wired or wireless means, and transmits the collected data to the platform layer via the intelligent telemetry terminal (4) in a wired or wireless manner.

5. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 3, characterized in that, In step two, a digital thermometer is pre-embedded in the concrete (7). The integrated data acquisition device (3) is connected to each of the digital thermometers via wired or wireless means. The digital thermometers transmit the collected data to the platform layer via the integrated data acquisition device (3) in a wireless or wired manner. When an environmental sensor and a stress sensor are pre-embedded in the concrete (7), the integrated data acquisition device (3) is connected to the environmental sensor and the stress sensor via wired or wireless means. The environmental sensor and the stress sensor transmit the collected data to the platform layer via the integrated data acquisition device (3) in a wireless or wired manner.

6. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 1, characterized in that, In step three, the platform layer integrates an engineering management system with a third-party cloud platform, and the data processing module, data storage module, and AI analysis module jointly establish a water temperature-flow rate-temperature difference disconnection model.

7. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 6, characterized in that, In step three, the AI ​​analysis module includes an intelligent early warning model, an adaptive control model, an anomaly diagnosis model, and a trend prediction model. The intelligent early warning model has preset thresholds.

8. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 7, characterized in that, In step four, the application layer includes a PC-based management platform and a mobile mini-program, with command synchronization and interaction between the PC-based management platform and the mobile mini-program.

9. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 8, characterized in that, In step four, the application layer determines the risk of abnormal temperature based on the threshold preset by the intelligent early warning model and the analysis results of the AI ​​analysis module.

10. The method for monitoring the water temperature and flow rate of large-volume concrete according to claim 2, characterized in that, In step six, the electronic switch valve (5) adopts the YW-ECV electronic switch valve. Multiple cooling water pipe branches (8) are connected through the cooling water pipe main (9). The cooling water pipe main (9) is located at the inlet of the cooling water pipe branch (8). The electronic switch valve (5) is installed on the cooling water pipe main (9) and laid close to the cooling water pipe branch (8). The valve control cabinet (6) transmits control commands to the application layer through wireless transmission.

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