Intelligent concrete curing system based on intelligent sensing and temperature difference self-adaptive control

Abstract

The invention provides an intelligent concrete curing system based on intelligent sensing and temperature difference self-adaptive control, and relates to the technical field of building equipment, concrete is uniformly divided to obtain a plurality of concrete partitions, and the system comprises a sensor module, a central control module and a temperature and humidity adjusting module; the sensor module is used for acquiring temperature field data and humidity data of each concrete partition; and the central control module is used for obtaining a temperature gradient value and a temperature average value according to the temperature field data, obtaining an average humidity value according to the humidity data, and controlling the temperature and humidity adjusting module to heat, cool or humidify each concrete partition according to the temperature gradient value, the temperature average value and the average humidity value. The temperature gradient in the mass concrete is monitored and regulated in real time, so that temperature cracks are effectively prevented, and the overall durability and structural safety of the concrete are improved.

Description

Technical Field

[0001] This invention relates to the field of building equipment technology, and in particular to an intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control. Background Technology

[0002] During the pouring of large-volume concrete, the cement hydration reaction releases a large amount of heat. Combined with the relatively low external temperature, this easily creates a temperature gradient within the concrete, leading to thermal stress concentration and ultimately temperature cracks. These temperature cracks not only affect the compressive strength of the concrete but also reduce its durability and long-term service performance. Traditional curing methods rely heavily on experience to control temperature, but they often cannot precisely adjust the internal temperature distribution of the concrete in real time. Summary of the Invention

[0003] The purpose of this invention is to provide a concrete intelligent curing system based on intelligent sensing and temperature difference adaptive control, which realizes real-time monitoring and control of the internal temperature gradient of large-volume concrete, thereby effectively preventing the generation of temperature cracks and improving the overall durability and structural safety of concrete.

[0004] A concrete intelligent curing system based on intelligent sensing and temperature difference adaptive control, which uniformly divides concrete into several concrete zones, is characterized by comprising a sensor module, a central control module, and a temperature and humidity regulation module. The sensor module is used to acquire temperature field data and humidity data for each of the concrete zones; The temperature and humidity control module includes several temperature control units, several heating units, and several spraying units; each concrete partition corresponds to one temperature control unit, one heating unit, and one spraying unit; the temperature control unit and the heating unit are both located within the concrete partition; the spraying unit is located on the surface of the concrete partition. The temperature control unit is a circulating water cooling device; The central control module is used to obtain temperature gradient value and average temperature based on the temperature field data; when the average temperature is lower than the temperature set value, the central control module controls the heating unit to heat the concrete zone; when the average temperature is greater than the temperature set value, the central control module is used to obtain cooling water flow rate based on the temperature gradient value and control the circulating water cooling device. The central control module is used to obtain an average humidity value based on the humidity data. When the average humidity value is less than a set humidity threshold, the central control module controls the spray unit to humidify the concrete zone.

[0005] Optionally, the sensor module includes a temperature sensor unit and a humidity sensor unit; The temperature sensor unit is used to acquire the temperature field data of each of the concrete zones; The humidity sensor unit is used to acquire humidity data for each of the concrete zones.

[0006] Optionally, the temperature sensor unit employs a distributed fiber optic temperature sensor network; The distributed fiber optic temperature sensor network is deployed inside and on the surface of the concrete.

[0007] Optionally, the central control module includes a data processing unit and a central control unit; The data processing unit is used to convert each of the temperature field data from analog signals to digital signals, obtain several digital temperature field data, and send them to the central control unit; the data processing unit is used to convert each of the humidity data from analog signals to digital signals, obtain several digital humidity data, and send them to the central control unit. The central control unit is used to obtain temperature gradient value and average temperature based on the digital temperature field data; when the average temperature is lower than the set temperature value, the central control unit controls the heating unit to heat the concrete zone corresponding to the digital temperature field data; when the average temperature is greater than the set temperature value, the central control unit is used to obtain cooling water flow rate based on the temperature gradient value and control the circulating water cooling device corresponding to the digital temperature field data. The central control unit is used to obtain an average humidity value based on the humidity data. When the average humidity value is less than a set humidity threshold, the central control unit controls the spray unit corresponding to the digital temperature field data to humidify the concrete zone.

[0008] Optionally, the temperature gradient value is expressed as: ; in, Let be the temperature gradient value at time t. The maximum value of the digital temperature field data at time t. t represents the minimum value of the digital temperature field data at time t.

[0009] Optionally, the expression for the cooling water flow rate is: ; in, Let be the cooling water flow rate at time t+1. The temperature gradient deviation at time t. , To set a safe temperature gradient threshold, Let be the temperature gradient deviation at time τ, where τ∈[0, t]. The differential control coefficient, This is the proportional control coefficient. This is the integral control coefficient.

[0010] Optionally, the sensor module acquires the temperature field data of each of the concrete zones according to a set sampling period; The central control module judges the temperature gradient value. When the temperature gradient value is less than or equal to the set temperature gradient threshold for n consecutive moments, the set sampling period is reduced. When the temperature gradient value is greater than the set temperature gradient threshold, the set sampling period is restored to the initial value.

[0011] Optionally, the system further includes a data storage module; The data storage module is used to store the temperature field data, the humidity data, and the cooling water flow rate.

[0012] Optionally, the system further includes a remote monitoring module; The remote monitoring module is used to display the temperature field data, the humidity data, and the cooling water flow rate.

[0013] The effects of this invention are as follows: This invention relates to an intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control. It deploys a distributed wireless temperature sensor network to collect temperature data from different parts of the concrete in real time, and combines PID control algorithm and fuzzy control strategy to regulate the temperature. This invention can automatically adjust the local temperature to prevent thermal stress concentration caused by excessive temperature difference, thereby significantly reducing the incidence of temperature cracks.

[0014] This invention relates to an intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control. The central control module processes real-time data, automatically generates control commands, and executes heating or cooling operations through a temperature and humidity adjustment module. It can dynamically adjust temperature and humidity based on sensor feedback, ensuring the concrete curing process remains under ideal temperature and humidity conditions. Compared to traditional timed and manual control methods in the prior art, the intelligent closed-loop control system of this invention is more flexible and efficient, capable of responding to environmental changes in real time and achieving more precise curing control.

[0015] This invention relates to an intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control. It not only possesses automatic adjustment and real-time monitoring functions, but also features a highly integrated system design, facilitating widespread application in large-volume concrete construction, and is particularly suitable for concrete curing in extreme environments such as cold, salt corrosion, and high temperatures. Through flexible deployment and long-term stable operation, this invention can adapt to different project scales and environmental conditions, demonstrating broad application prospects.

[0016] This invention relates to an intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control. By intelligently regulating temperature and humidity, it optimizes the internal hydration process of concrete, thereby improving its crack resistance and freeze-thaw resistance, and enhancing its long-term durability. By reducing the formation of cracks, it effectively improves the safety of concrete structures, providing more reliable protection for concrete engineering, especially in cold and freeze-thaw cycles, significantly improving the freeze-thaw durability and compressive strength of concrete. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to the present invention. Figure 2 This is a schematic diagram of the layout of the temperature and humidity control module of the present invention. Detailed Implementation

[0018] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

[0019] Figure 1 This is a schematic diagram of the intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control, as per the present invention. Figure 1 As shown, the present invention provides a concrete intelligent curing system based on intelligent sensing and temperature difference adaptive control, which uniformly divides the concrete into several concrete zones. The system includes a sensor module, a central control module, and a temperature and humidity regulation module.

[0020] The sensor module is used to acquire temperature field data and humidity data for each concrete zone. Preferably, in this embodiment, the sensor module acquires temperature field data for each concrete zone according to a set sampling period.

[0021] The central control module judges the temperature gradient value. When the temperature gradient value is less than or equal to the set temperature gradient threshold for n consecutive time periods, the set sampling period is reduced. When the temperature gradient value is greater than the set temperature gradient threshold, the set sampling period is restored to the initial value. Specifically, the set temperature gradient threshold is 8℃. The initial value of the set sampling period is 5 minutes.

[0022] Specifically, the sensor module includes a temperature sensor unit and a humidity sensor unit.

[0023] The temperature sensor unit is used to acquire temperature field data for each concrete zone. Preferably, in this embodiment, the temperature sensor unit adopts a distributed fiber optic temperature sensor network, specifically using the FO-420 fiber optic temperature sensor manufactured by FBGS.

[0024] A distributed fiber optic temperature sensor network is deployed inside and on the surface of concrete.

[0025] The humidity sensor unit is used to acquire humidity data for each concrete section.

[0026] Specifically, during the pouring of large-volume concrete, temperature and humidity sensor units are evenly distributed in key areas inside the concrete (such as the central area, corners, and surface). The sensor modules transmit data to the central control module in real time via a wireless communication module.

[0027] The temperature and humidity control module includes several temperature control units, several heating units, and several spraying units; each concrete section corresponds to one temperature control unit, one heating unit, and one spraying unit; the temperature control units and heating units are all located within the concrete section; the spraying units are located on the surface of the concrete section. Preferably, the heating units use carbon fiber heating belts.

[0028] The temperature control unit is a circulating water cooling device. The spray unit includes several spray nozzles, such as... Figure 2 As shown.

[0029] The central control module is used to obtain the temperature gradient value and average temperature based on the temperature field data. When the average temperature is lower than the set temperature, the central control module controls the heating unit to heat the concrete sections. When the average temperature is higher than the set temperature, the central control module obtains the cooling water flow rate based on the temperature gradient value and controls the circulating water cooling device. Preferably, the set temperature is 18℃-22℃.

[0030] Preferably, the temperature gradient value is expressed as follows: ; in, Let be the temperature gradient value at time t. The maximum value of the digital temperature field data at time t. t represents the minimum value of the digital temperature field data at time t.

[0031] The expression for cooling water flow rate is: ; in, Let be the cooling water flow rate at time t+1. The temperature gradient deviation at time t. , To set a safe temperature gradient threshold, Let be the temperature gradient deviation at time τ, where τ∈[0, t]. These are differential control coefficients, used to calculate the rate of change of deviation at time t. Predicting future errors allows for the application of preventative control measures in advance, thereby improving stability. This is a proportional control coefficient, used to determine the proportion of control factors. The magnitude of this has a controlling effect, reducing the current error. This is the integral control coefficient, used to eliminate state errors by integrating historical deviations.

[0032] The central control module is used to obtain the average humidity value based on humidity data. When the average humidity value is less than the set humidity threshold, the central control module controls the spray unit to humidify the concrete zone. Preferably, the set humidity threshold is 85%-95%.

[0033] Specifically, the central control module includes a data processing unit and a central control unit.

[0034] The data processing unit converts the temperature field data from analog signals to digital signals, obtaining several digital temperature field data points, and sends them to the central control unit; the data processing unit also converts the humidity data from analog signals to digital signals, obtaining several digital humidity data points, and sends them to the central control unit. Preferably, the data processing unit uses the NI9205 multi-channel data acquisition card manufactured by NI.

[0035] The central control unit is used to obtain the temperature gradient value and the average temperature based on the digital temperature field data. When the average temperature is lower than the set temperature value, the central control unit controls the heating unit to heat the concrete zone corresponding to the digital temperature field data. When the average temperature is greater than the set temperature value, the central control unit is used to obtain the cooling water flow rate based on the temperature gradient value and control the circulating water cooling device corresponding to the digital temperature field data.

[0036] The central control unit obtains the average humidity value based on humidity data. When the average humidity value is lower than the set humidity threshold, the central control unit controls the spray unit corresponding to the digital temperature field data to humidify the concrete zones. The central control unit uses a Raspberry Pi 4 Model B, equipped with a quad-core processor, which can process temperature data in real time, calculate the concrete temperature gradient, and generate control commands. The central control unit uses PID control and fuzzy control algorithms written in Python to automatically generate control commands based on temperature data and temperature gradient.

[0037] Preferably, the data processing unit transmits the digital temperature field data and digital humidity data to the central control unit via a wireless transmission unit. The wireless transmission unit uses an RFM95W module with the LoRaWAN protocol to ensure long-distance, low-power transmission.

[0038] Preferably, the system further includes a data storage module.

[0039] The data storage module is used to store temperature field data, humidity data, temperature gradient values, average temperature, average humidity, and cooling water flow rate.

[0040] Furthermore, the system also includes a remote monitoring module.

[0041] The remote monitoring module is used to display temperature field data, humidity data, temperature gradient value, average temperature, average humidity value, and cooling water flow rate.

[0042] In a large-scale water conservancy project in a high-altitude, cold region, the system of this invention was applied to the curing process of large-volume concrete pouring. First, before concrete pouring, distributed fiber optic temperature sensors were evenly deployed at predetermined locations along the depth and surface of the concrete, collecting temperature data every 5 minutes. After concrete pouring, a 24-hour membrane curing process was implemented.

[0043] The central control unit received real-time data and calculated using an algorithm to determine that the maximum temperature gradient inside the concrete was 10℃, exceeding the preset threshold of 8℃. The system immediately activated the temperature and humidity control unit to reduce the temperature in that area to the preset range. After automatic adjustment, monitoring data showed that the temperature gradient inside the concrete had decreased to 7℃, meeting the control requirements.

[0044] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made by those skilled in the art to the technical solutions of the present invention without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A concrete intelligent curing system based on intelligent sensing and temperature difference adaptive control, wherein the concrete is uniformly divided into several concrete zones, characterized in that, The system includes a sensor module, a central control module, and a temperature and humidity control module; The sensor module is used to acquire temperature field data and humidity data for each of the concrete zones; The temperature and humidity control module includes several temperature control units, several heating units, and several spraying units; each concrete partition corresponds to one temperature control unit, one heating unit, and one spraying unit; the temperature control unit and the heating unit are both located within the concrete partition; the spraying unit is located on the surface of the concrete partition. The temperature control unit is a circulating water cooling device; The central control module is used to obtain temperature gradient value and average temperature based on the temperature field data; when the average temperature is lower than the temperature set value, the central control module controls the heating unit to heat the concrete zone; when the average temperature is greater than the temperature set value, the central control module is used to obtain cooling water flow rate based on the temperature gradient value and control the circulating water cooling device. The central control module is used to obtain an average humidity value based on the humidity data. When the average humidity value is less than a set humidity threshold, the central control module controls the spray unit to humidify the concrete zone.

2. The intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to claim 1, characterized in that, The sensor module includes a temperature sensor unit and a humidity sensor unit; The temperature sensor unit is used to acquire the temperature field data of each of the concrete zones; The humidity sensor unit is used to acquire humidity data for each of the concrete zones.

3. The intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to claim 2, characterized in that, The temperature sensor unit employs a distributed fiber optic temperature sensor network. The distributed fiber optic temperature sensor network is deployed inside and on the surface of the concrete.

4. The intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to claim 1, characterized in that, The central control module includes a data processing unit and a central control unit; The data processing unit is used to convert each of the temperature field data from analog signals to digital signals, obtain several digital temperature field data, and send them to the central control unit; the data processing unit is used to convert each of the humidity data from analog signals to digital signals, obtain several digital humidity data, and send them to the central control unit. The central control unit is used to obtain temperature gradient value and average temperature based on the digital temperature field data; when the average temperature is lower than the set temperature value, the central control unit controls the heating unit to heat the concrete zone corresponding to the digital temperature field data; when the average temperature is greater than the set temperature value, the central control unit is used to obtain cooling water flow rate based on the temperature gradient value and control the circulating water cooling device corresponding to the digital temperature field data. The central control unit is used to obtain an average humidity value based on the humidity data. When the average humidity value is less than a set humidity threshold, the central control unit controls the spray unit corresponding to the digital temperature field data to humidify the concrete zone.

5. The intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to claim 4, characterized in that, The expression for the temperature gradient value is: ； in, Let be the temperature gradient value at time t. The maximum value of the digital temperature field data at time t. t represents the minimum value of the digital temperature field data at time t.

6. The intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to claim 5, characterized in that, The expression for the cooling water flow rate is: ； in, Let be the cooling water flow rate at time t+1. The temperature gradient deviation at time t. , To set a safe temperature gradient threshold, Let be the temperature gradient deviation at time τ, where τ∈[0, t]. These are the differential control coefficients. This is the proportional control coefficient. This is the integral control coefficient.

7. The intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to claim 1, characterized in that, The sensor module acquires the temperature field data of each of the concrete zones according to a set sampling period; The central control module judges the temperature gradient value. When the temperature gradient value is less than or equal to the set temperature gradient threshold for n consecutive moments, the set sampling period is reduced. When the temperature gradient value is greater than the set temperature gradient threshold, the set sampling period is restored to the initial value.

8. The intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to claim 1, characterized in that, The system also includes a data storage module; The data storage module is used to store the temperature field data, the humidity data, and the cooling water flow rate.

9. The intelligent concrete curing system based on intelligent sensing and temperature difference adaptive control according to claim 1, characterized in that, The system also includes a remote monitoring module; The remote monitoring module is used to display the temperature field data, the humidity data, and the cooling water flow rate.

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