Temperature control system, method and equipment for mass concrete and storage medium

Abstract

The invention relates to the technical field of concrete engineering, and discloses a mass concrete temperature control system, method and device and a storage medium, and the system comprises a multi-dimensional sensor module which is used for collecting the contact temperature of each temperature measurement point and transmitting the contact temperature to a controller; the non-contact monitoring module is used for collecting the non-contact temperature of a preset area of the mass concrete and transmitting the non-contact temperature to the controller; the controller is used for performing temperature analysis according to the contact temperature and the non-contact temperature of the mass concrete, generating three-dimensional temperature field distribution of the mass concrete, predicting a temperature change trend of a future preset time period according to the three-dimensional temperature field distribution, and generating a temperature adjusting instruction according to the temperature change trend; and the temperature adjusting module is used for adjusting the temperature of the concrete with the abnormal temperature change trend according to the temperature adjusting instruction. The crack risk of mass concrete caused by temperature change is effectively controlled, the engineering quality is guaranteed, and the construction intelligent level and the management efficiency are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of concrete engineering, in particular to a temperature control system, method, device and storage medium for mass concrete. BACKGROUND

[0002] Mass concrete structures are widely used in major infrastructure projects such as water conservancy hubs, nuclear power plants, super high-rise building foundations, and subway stations. They are characterized by thick structure and large amount of concrete, usually with a single pouring volume exceeding 1000 cubic meters or a minimum cross-sectional size exceeding 1 meter. Due to the release of a large amount of heat by cement hydration, the internal temperature of mass concrete can reach 60-80°C, while the surface cools quickly, forming a significant internal and external temperature difference. When the temperature difference exceeds 25°C, temperature stress cracks are extremely easy to occur, which seriously affects the structural safety and service life. Traditional temperature control monitoring methods mainly rely on manual embedding of thermocouples or thermistors for point temperature measurement. The number of monitoring points is limited, which cannot fully reflect the complex three-dimensional temperature field distribution inside the concrete. Moreover, the data collection efficiency is low, making it difficult to achieve real-time continuous monitoring and early warning.

[0003] Existing mass concrete temperature control technologies have significant shortcomings in monitoring accuracy, data processing capability, and active control. On the one hand, the temperature measurement error of traditional monitoring equipment is generally above ±0.5°C, with coarse spatial resolution, which cannot capture local hot spots and temperature gradient changes, leading to lagging and inaccurate temperature control measures. On the other hand, existing systems lack intelligent data analysis capabilities and cannot reconstruct temperature fields and make trend predictions based on multi-source monitoring data. Temperature control strategies mainly rely on engineer experience and judgment, which is highly subjective and has a delayed response. In addition, traditional passive cooling methods such as pre-embedded cooling pipes and surface covering insulation materials have limited temperature control effect and high energy consumption as they cannot adaptively control the temperature according to real-time temperature changes. SUMMARY

[0004] The present application provides a mass concrete temperature control system, method, device and storage medium to solve the problems of low temperature collection efficiency and low temperature control precision.

[0005] In a first aspect, the present application provides a mass concrete temperature control system, which comprises a multi-dimensional sensor module, a non-contact monitoring module, a controller, and a temperature regulation module, wherein The multi-dimensional sensor module is located at the temperature measurement points inside the mass concrete and is connected to the input end of the controller, used to collect the contact temperature of each temperature measurement point and transmit it to the controller. The non-contact monitoring module is located at the preset positions around the mass concrete and is connected to the input end of the controller, used to collect the non-contact temperature of the preset area of the mass concrete and transmit it to the controller. The controller is configured to perform temperature analysis according to the contact temperature and the non-contact temperature of the mass concrete, generate a three-dimensional temperature field distribution of the mass concrete, and predict a temperature change trend of a future preset time period according to the three-dimensional temperature field distribution, and generate a temperature adjustment instruction according to the temperature change trend; The temperature adjustment module is connected with the output end of the controller, and is configured to adjust the temperature of the mass concrete that has an abnormal temperature change trend according to the temperature adjustment instruction.

[0006] The temperature control system for mass concrete provided by the application can realize comprehensive and accurate monitoring of the internal and surface temperatures of the mass concrete by cooperatively collecting contact and non-contact temperature data through the multi-dimensional sensor module and the non-contact monitoring module, and can provide scientific basis for temperature control decision by generating a three-dimensional temperature field distribution and predicting a temperature change trend by means of the collected temperature data, and can grasp the temperature dynamics at each position in advance, and can improve the intelligent level and management efficiency of construction by realizing closed-loop temperature control, timely adjusting abnormal temperature, and effectively controlling the crack risk of mass concrete caused by temperature change, and can guarantee the engineering quality.

[0007] In an optional embodiment, the system further comprises a cloud monitoring module connected with the controller, configured to acquire and display the temperature data of the mass concrete, and perform multi-level early warning based on the fault or temperature change trend of the temperature control system for mass concrete.

[0008] The temperature control system for mass concrete provided by the application can realize centralized and visualized management of temperature by acquiring and displaying the temperature data of the mass concrete in real time through the cloud monitoring module, and can make relevant personnel know abnormal conditions in time, facilitate quick response and disposal, and help engineering management personnel to control the temperature control condition of mass concrete from a macroscopic aspect based on multi-level early warning of the fault or temperature change trend of the temperature control system.

[0009] In an optional embodiment, the temperature measurement points include optical fiber temperature measurement points and wireless temperature measurement points, and the multi-dimensional sensor module comprises a three-dimensional temperature field reconstruction sensor array and a wireless temperature sensor array, wherein, The three-dimensional temperature field reconstruction sensor array adopts optical fibers as a sensing medium, and sets multiple optical fiber temperature measurement points on each optical fiber by using wavelength division multiplexing technology. The wireless temperature sensor array is configured to select multiple wireless temperature measurement points on the optical fibers according to the positions of the temperature measurement points, and place wireless temperature sensors at the wireless temperature measurement points, respectively.

[0010] The temperature control system of the mass concrete provided by the application can realize large-range and high-density temperature monitoring of the mass concrete, and can provide sufficient space data support for three-dimensional temperature field reconstruction.

[0011] In an optional embodiment, the wireless temperature sensor comprises a wireless temperature acquisition subunit, a wireless communication subunit, a microprocessor and a power supply unit, wherein, The wireless temperature acquisition subunit is connected with the wireless communication subunit, and is used for acquiring the temperature of the concrete at the wireless temperature measuring point and transmitting the acquired temperature of the concrete to the wireless communication subunit. The wireless communication subunit is connected with the microprocessor, and is used for transmitting the temperature of the concrete to the microprocessor. The microprocessor is used for converting the temperature of the concrete into an electric signal. The power supply unit is used for supplying power to the wireless temperature acquisition subunit, the wireless communication subunit and the microprocessor.

[0012] The temperature control system of the mass concrete provided by the application can realize large-range and high-density temperature monitoring of the mass concrete, and can provide sufficient space data support for three-dimensional temperature field reconstruction.

[0013] In an optional embodiment, the non-contact monitoring module comprises an intelligent holder unit and a UAV temperature measuring unit, wherein, The intelligent holder unit is fixedly installed at a preset position around the mass concrete, and is used for acquiring infrared images of a preset area of the mass concrete. The UAV temperature measuring unit performs full-coverage flight inspection on the mass concrete at a preset time interval, and acquires infrared images of the remaining area of the mass concrete that cannot be monitored by the intelligent holder unit.

[0014] The temperature control system of the mass concrete provided by the application can realize large-range and high-density temperature monitoring of the mass concrete, and can provide sufficient space data support for three-dimensional temperature field reconstruction.

[0015] In an alternative embodiment, the controller comprises: a data preprocessing unit, a temperature field reconstruction unit, and a temperature prediction unit, wherein, The data preprocessing unit is configured to perform data cleaning, standardization processing, noise filtering, and feature extraction on the contact temperature and the non-contact temperature to obtain standard temperature data. The temperature field reconstruction unit is configured to reconstruct three-dimensional temperature field distribution data based on the standard temperature data. The temperature prediction unit is configured to predict the temperature change trend of the mass concrete in a future preset time period based on the three-dimensional temperature field distribution data.

[0016] The mass concrete temperature control system provided by the present application preprocesses temperature data to obtain standard temperature data, ensuring the accuracy and standardization of the data. The temperature field reconstruction unit generates three-dimensional temperature field distribution based on the standard temperature data, intuitively presenting the spatial distribution state of the concrete temperature. The temperature prediction unit predicts the future temperature change trend based on the three-dimensional temperature field data, realizing dynamic and forward-looking control of the mass concrete temperature.

[0017] In an alternative embodiment, the temperature adjustment module comprises: a cooling pipe network unit and an insulation board unit, wherein, The cooling pipe network unit is connected to the controller and is configured to increase or decrease the flow of cooling medium in the pipe network according to the temperature adjustment instruction of the controller. The insulation board unit is connected to the controller and is configured to open or close the insulation board and turn on or off the electric heating wire in the insulation board according to the temperature adjustment instruction of the controller.

[0018] The mass concrete temperature control system provided by the present application adjusts the flow of cooling medium according to the instruction to realize the temperature control of the concrete. The insulation board unit opens and closes the insulation board and turns on and off the electric heating wire to flexibly adjust the insulation or heating state of the concrete. The combination of the two can accurately execute the temperature adjustment instruction according to the temperature change trend of different regions and different time periods of the mass concrete, effectively control the temperature difference inside and outside the concrete, and reduce the risk of cracks caused by temperature changes.

[0019] In a second aspect, the present application provides a mass concrete temperature control method, which is applied to the mass concrete temperature control system of any one of the first aspect, and the method comprises: Obtaining the contact temperature and the non-contact temperature of the mass concrete, and preprocessing the contact temperature and the non-contact temperature to obtain standard temperature data. Constructing three-dimensional temperature field distribution data of the mass concrete based on the standard temperature data, and predicting the temperature change trend in a future preset time period based on the three-dimensional temperature field distribution data. The temperature at various locations of the large-volume concrete is adjusted based on the temperature change trend.

[0020] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the method described in the second aspect or any corresponding embodiment thereof.

[0021] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the method described in the second aspect or any of its corresponding embodiments. Attached Figure Description

[0022] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of an application scenario according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the first structure of a temperature control system for large-volume concrete according to an embodiment of the present invention. Figure 3 This is a schematic diagram of a second structure of a temperature control system for large-volume concrete according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of the cloud monitoring module in the temperature control system for large-volume concrete according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the arrangement of temperature measuring points of a multi-dimensional sensor module in a temperature control system for large-volume concrete according to an embodiment of the present invention, for a certain layer inside the large-volume concrete. Figure 6 This is a schematic diagram of the arrangement of infrared imaging equipment for a non-contact monitoring module in a temperature control system for large-volume concrete according to an embodiment of the present invention. Figure 7 This is a schematic diagram of the data processing flow of the controller in the temperature control system for large-volume concrete according to an embodiment of the present invention. Figure 8 This is a schematic diagram of the temperature regulation module in the temperature control system for large-volume concrete according to an embodiment of the present invention. Figure 9 This is a schematic flowchart of a temperature control method for large-volume concrete according to an embodiment of the present invention. Figure 10 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0026] As an optional application scenario of this invention, such as Figure 1 As shown, the temperature control system for this large-volume concrete may include at least one terminal device and at least one server. Figure 1 The system is illustrated in the example, which includes a computer 101, a mobile terminal 102, and a server 103, and the terminal devices such as the computer 101 and the mobile terminal 102 are connected to the server 103 through a network 110.

[0027] Specifically, the terminal device can be a smartphone, tablet, laptop, PDA, desktop computer, game console, smart TV, smart wearable device, in-vehicle terminal, VR (Virtual Reality) device, AR (Augmented Reality) device, etc. Server 103 can be a standalone physical server, a server cluster, a distributed system, or a cloud server providing cloud services. Network 110 can be a wired or wireless network, examples of which include, but are not limited to, the Internet, corporate intranet, local area network, wide area network, mobile communication network, and combinations thereof.

[0028] This invention provides a temperature control system and method for large-volume concrete. By collecting contact and non-contact temperatures, reconstructing a three-dimensional temperature field, and predicting temperature change trends, the system achieves temperature control of large-volume concrete, thereby improving the efficiency of temperature acquisition and the accuracy of temperature control.

[0029] According to embodiments of the present invention, a temperature control system for large-volume concrete is provided, such as... Figure 2 As shown, the system includes: a multi-dimensional sensor module, a non-contact monitoring module, a controller, and a temperature control module.

[0030] like Figure 2 As shown, the multi-dimensional sensor module, located at the temperature measurement point inside the large volume of concrete, is connected to the input terminal of the controller to collect the contact temperature of each temperature measurement point and transmit it to the controller.

[0031] Specifically, the multi-dimensional sensor module includes, but is not limited to, multiple temperature sensors, each located at a temperature measurement point inside the large-volume concrete. It employs fiber Bragg grating technology and Long Range Radio (LoRa) spread spectrum technology to achieve three-dimensional contact monitoring. After acquiring the contact temperature at each measurement point inside the large-volume concrete using the multi-dimensional sensor module, the corresponding contact temperature is transmitted to the controller based on the identification number of each measurement point. The location of each measurement point can be determined using its identification number, thereby determining the contact temperature at each location inside the large-volume concrete. In addition to temperature monitoring, it can also integrate humidity sensors for multi-parameter collaborative monitoring, comprehensively understanding the internal state of the large-volume concrete. The multi-dimensional sensor module also includes a multi-parameter collaborative monitoring unit, which integrates a vibrating wire strain sensor, a capacitive humidity sensor, an ion-selective electrode pH sensor, and an ultrasonic thickness gauge using the pulse-echo method. If other types of data are acquired, these other parameter data must also be uploaded to the controller.

[0032] like Figure 2 As shown, the non-contact monitoring module is located at a preset position around the large-volume concrete and is connected to the input terminal of the controller. It is used to collect the non-contact temperature of the preset area of ​​the large-volume concrete and transmit it to the controller.

[0033] Specifically, the non-contact monitoring module includes multiple non-contact temperature monitoring devices, each installed at a preset location around the large-volume concrete. These devices monitor the non-contact temperature of different areas on the concrete surface, ensuring that the monitoring area of ​​each device covers the entire surface of the concrete. After collecting the non-contact temperature data for its corresponding area, each device uploads the data to the controller. Similarly, the device numbers and corresponding preset areas are pre-defined, allowing the controller to determine the non-contact temperature of each area based on the device numbers. This technology is mature and existing, and will not be elaborated further here.

[0034] like Figure 2 As shown, the controller is used to perform temperature analysis based on the contact temperature and non-contact temperature of the large-volume concrete, generate a three-dimensional temperature field distribution of the large-volume concrete, predict the temperature change trend over a preset time period based on the three-dimensional temperature field distribution, and generate temperature adjustment commands based on the temperature change trend.

[0035] Specifically, the contact temperature of a large-volume concrete is the temperature of each temperature measuring point inside it, while the non-contact temperature is the temperature of its surface area. Both contact and non-contact temperatures comprehensively cover the temperature state at all locations within the large-volume concrete. Therefore, by analyzing the contact and non-contact temperatures, a three-dimensional temperature field distribution of the large-volume concrete can be obtained. This three-dimensional temperature field distribution is displayed as a three-dimensional image, encompassing the temperature conditions at each location. Based on the temperature conditions at each location, the controller predicts the temperature change trend over a preset time period, such as the temperature change over the next 72 hours. Based on this temperature change trend, it determines the temperature regulation strategy in advance and generates temperature regulation commands.

[0036] like Figure 2 As shown, the temperature regulation module is connected to the output of the controller and is used to regulate the temperature of concrete that shows abnormal temperature change trends according to the temperature regulation command.

[0037] Specifically, due to the large volume of large-volume concrete, there are significant temperature differences in different locations. There may be situations where one location needs to be heated while another needs to be cooled. Therefore, when setting up temperature control equipment, it is necessary to set it up separately according to the temperature characteristics of each location in the large-volume concrete. For example, the concrete surface usually dissipates heat faster, and its internal temperature is higher than the external surface temperature. Therefore, cooling equipment is set up inside the concrete, while insulation or heating equipment is set up on the outside of the concrete. The specific setting method needs to be determined according to the actual situation. This is just an example, but it is not a limitation.

[0038] The temperature control system for large-volume concrete provided in this embodiment collects contact and non-contact temperature data through a multi-dimensional sensor module and a non-contact monitoring module, achieving comprehensive and accurate monitoring of the internal and surface temperatures of the concrete. The controller uses the collected temperature data to generate a three-dimensional temperature field distribution and predict temperature change trends, thereby gaining early insight into the temperature dynamics at each location and providing a scientific basis for temperature control decisions. The closed-loop temperature control mechanism promptly adjusts abnormal temperatures, effectively controlling the risk of cracks in large-volume concrete caused by temperature changes, ensuring project quality, and improving the level of intelligent construction and management efficiency.

[0039] In some alternative implementations, such as Figure 3 As shown, the system also includes a cloud monitoring module, which is connected to the controller to acquire and display temperature data of the large-volume concrete and to provide multi-level early warnings based on faults or temperature change trends in the temperature control system of the large-volume concrete.

[0040] Specifically, the cloud-based monitoring module is a monitoring platform primarily used for real-time monitoring, early warning, and data analysis. It adopts a microservice architecture, featuring high availability, high scalability, and high security, supporting parallel monitoring management of multiple projects. It includes a data access layer, a data processing layer, a business logic layer, and a user interface layer. The data processing layer implements streaming computing based on the Apache Kafka and Apache Flink frameworks, including a real-time monitoring interface based on Web3D technology and an intelligent early warning system with a multi-level early warning mechanism. The Web3D visualization interface constructs a 3D scene based on Building Information Modeling (BIM) technology, allowing users to intuitively understand the internal temperature distribution of concrete, significantly improving the understandability of monitoring data and decision-making efficiency. The intelligent early warning system establishes a four-level early warning mechanism, ensuring timely delivery of early warning information through various methods such as SMS, email, and APP push notifications, reducing early warning response time to the minute level. Figure 4 The diagram shown is a structural schematic of the cloud monitoring module.

[0041] The data access layer collects temperature data of large-volume concrete from front-end multi-dimensional sensor modules, non-contact monitoring modules, and other devices through various methods such as HTTP protocol, MQTT protocol, WebSocket, 5G data stream, and edge computing, thereby achieving multi-source data access.

[0042] The data processing layer (stream computing) uses the Apache Kafka message queue to buffer and stream the massive amounts of collected data, ensuring the stability of data transmission; it leverages the Apache Flink real-time computing engine to perform real-time streaming processing of the data, ensuring the timeliness of data processing; it conducts data cleaning and quality control to remove outliers and fill in missing values, ensuring the accuracy and availability of the data; and it efficiently stores the processed data through distributed storage and a time-series database for subsequent retrieval and analysis.

[0043] The business logic layer includes: (1) Intelligent early warning system: Based on the processed data, different temperature thresholds are set (such as 15℃ blue, 20℃ yellow, 23℃ brown, 25℃ red) to realize multi-level early warning of faults or temperature change trends. (2) Data analysis module: Performs statistical analysis and big data analysis to mine the patterns and potential problems in the data, and then generates optimization suggestions to support temperature control decisions. (3) Report generation module: Through the automated reporting function, the data and analysis results are presented in an intuitive report form.

[0044] The user interface layer includes Web3D monitoring (Three.js visualization) and BIM integrated display (3D model display): It visualizes processed temperature data as a 3D temperature field; for example, the "3D Temperature Field Visualization" module can display temperature distribution in real time. The mobile app enables real-time data push notifications, allowing users to monitor temperature conditions anytime, anywhere. The management backend provides system configuration functions, facilitating user management and maintenance of the entire cloud-based monitoring system. It also performs data statistical analysis, displaying key indicators such as temperature trends, monitored data volume, number of warnings, remote control compliance rate, and system availability.

[0045] The temperature control system for large-volume concrete provided in this embodiment uses a cloud monitoring module to acquire and display the temperature data of the large-volume concrete in real time, realizing centralized and visual management of temperature. At the same time, it provides multi-level early warnings based on the faults or temperature change trends of the temperature control system, so that relevant personnel can be aware of abnormal situations in a timely manner, which facilitates rapid response and handling, and helps engineering managers to control the temperature control status of large-volume concrete from a macro perspective.

[0046] In some alternative implementations, such as Figure 3 As shown, the temperature measurement points include fiber optic temperature measurement points and wireless temperature measurement points, and the multi-dimensional sensor module includes: a three-dimensional temperature field reconstruction sensor array and a wireless temperature sensor array.

[0047] like Figure 3 As shown, the three-dimensional temperature field reconstruction sensor array uses optical fiber as the sensing medium and employs wavelength division multiplexing technology to set multiple fiber optic temperature measurement points on each fiber.

[0048] Specifically, the three-dimensional temperature field reconstruction sensor array uses single-mode optical fiber as the sensing medium and employs wavelength division multiplexing (WDM) technology to connect multiple temperature measurement points in series on a single optical fiber. The fiber optic sensors are covered with polyimide material, and the optical fiber and steel reinforcement structure are fixed with special stainless steel clamps. The fiber optic sensors are arranged in a three-dimensional grid with a horizontal spacing of 2 meters and a vertical spacing of 1.5 meters. Figure 5 The diagram shows the arrangement of temperature measurement points in a certain layer inside a large volume of concrete by a multi-dimensional sensor module. The vertically intersecting straight lines represent the fiber optic sensing network, and the intersections between the fibers are fiber Bragg grating temperature measurement points. Based on the actual situation, wireless temperature sensing nodes are set between the grating temperature measurement points to collect the temperature of locations that are not covered by the fiber optic temperature measurement points but require special attention.

[0049] like Figure 3 As shown, a wireless temperature sensor array is used to select multiple wireless temperature measurement points on an optical fiber based on the location of the temperature measurement points, and to place wireless temperature sensors at each of the wireless temperature measurement points.

[0050] In some alternative implementations, the wireless temperature sensor includes: a wireless temperature acquisition subunit, a wireless communication subunit, a microprocessor, and a power supply unit.

[0051] The wireless temperature acquisition subunit is connected to the wireless communication subunit and is used to acquire the concrete temperature at the corresponding wireless temperature measurement point and transmit the acquired concrete temperature to the wireless communication subunit.

[0052] The wireless communication subunit, which is connected to the microprocessor, is used to transmit the concrete temperature to the microprocessor.

[0053] A microprocessor, which is used to convert the temperature of concrete into an electrical signal.

[0054] The power supply unit provides power to the wireless temperature acquisition subunit, the wireless communication subunit, and the microprocessor. The power supply unit can be a lithium battery.

[0055] The temperature control system for large-volume concrete provided in this embodiment features a wireless temperature sensor with clearly defined functions for each unit. This allows for efficient acquisition, transmission, signal conversion, and power supply of concrete temperature data from wireless measurement points, ensuring the accuracy and real-time performance of the collected temperature data. The wireless architecture eliminates the constraints of wired connections, making the placement of measurement points more flexible, and is particularly suitable for temperature monitoring of complex structures like large-volume concrete.

[0056] Specifically, such as Figure 5 As shown, the fiber optic data acquisition unit is specifically designed to receive and process signals from fiber optic sensors embedded inside the concrete. It can read data from 128 temperature measurement points on a single fiber with an accuracy of ±0.1°C. The wireless data gateway collects data from wireless temperature sensors distributed across the site and uses LoRa technology to achieve data transmission over a five-kilometer range, essentially acting as a signal relay station on-site. The multi-parameter acquisition module can simultaneously monitor various parameters in addition to temperature, such as strain, humidity, and pH value, providing a comprehensive understanding of the concrete's condition. The data fusion center integrates and analyzes data from fiber optic, wireless, and multi-parameter sources to generate unified monitoring results.

[0057] A multi-dimensional sensor fusion network enables comprehensive three-dimensional monitoring of the temperature field in large-volume concrete. Based on fiber Bragg grating technology, the distributed temperature sensing network allows for the connection of 128 temperature measurement points via a single fiber, achieving a temperature measurement accuracy of ±0.1°C and a spatial resolution of 0.65 meters—more than five times the accuracy of traditional thermocouple monitoring. The three-dimensional grid layout ensures 100% monitoring coverage, completely eliminating blind spots inherent in traditional point-based monitoring.

[0058] The temperature control system for large-volume concrete provided in this embodiment uses optical fiber as the sensing medium and sets up multiple measuring points through wavelength division multiplexing technology, which can realize large-scale, high-density temperature monitoring inside large-volume concrete, providing sufficient spatial data support for three-dimensional temperature field reconstruction. The wireless temperature sensor array is strategically arranged with wireless temperature measuring points, which can flexibly supplement the monitoring nodes and improve the flexibility and relevance of data acquisition. The two work together to ensure the comprehensiveness and accuracy of temperature data acquisition.

[0059] In some alternative implementations, such as Figure 3 As shown, the non-contact monitoring module includes: an intelligent gimbal unit and a drone temperature measurement unit.

[0060] like Figure 3 As shown, the intelligent gimbal unit is fixedly installed at a preset position around the large volume concrete to collect infrared images of the preset area of ​​the large volume concrete.

[0061] Specifically, the non-contact monitoring module consists of a thermal imaging camera array and a drone inspection platform; it is equipped with a high-precision thermal imaging camera array with an electric zoom lens and a mobile drone inspection platform carrying lightweight thermal imaging equipment. The non-contact infrared thermal imaging monitoring system has a thermal sensitivity of less than 0.05°C, enabling it to capture minute temperature changes on the concrete surface in real time, providing high-quality boundary condition data for temperature field reconstruction.

[0062] The intelligent gimbal unit includes a high-precision thermal imaging camera formed using uncooled focal plane array detector technology, with a spectral response range of 7.5-14 micrometers, and is equipped with an intelligent gimbal system with 360-degree horizontal rotation and ±90-degree vertical pitch capability.

[0063] like Figure 3 As shown, the drone temperature measurement unit performs full-coverage aerial inspections of large-volume concrete at preset time intervals, acquiring infrared images of the remaining areas of large-volume concrete that cannot be monitored by the intelligent gimbal unit.

[0064] Specifically, such as Figure 6 The diagram shows the layout of the infrared imaging equipment for the non-contact monitoring module. The first intelligent gimbal unit is used to monitor the first monitoring area, the second intelligent gimbal unit is used to detect the second monitoring area, and the third intelligent gimbal unit is used to monitor the third monitoring area. Areas that cannot be covered by the three intelligent gimbal units are supplemented by monitoring using a drone temperature measurement unit.

[0065] The concrete structure is divided into grid zones according to its structural characteristics and construction needs. Each temperature control unit typically ranges in size from 4 to 170 square meters, ensuring that each area can be independently monitored and controlled. The division is mainly based on structural thickness, pouring sequence, heat dissipation conditions, and engineering characteristics, with the goal of achieving refined zoning management.

[0066] The drones are primarily responsible for supplementing monitoring, covering areas inaccessible to fixed thermal imaging cameras, and conducting full-coverage aerial inspections twice daily. The monitoring range is adjusted according to the scale of the project; large projects are equipped with two drones, while complex projects are equipped with four. They are capable of flexibly and mobilely monitoring the temperature distribution on concrete surfaces, especially at corners and high-altitude areas, forming a three-dimensional monitoring network with fixed ground cameras.

[0067] The temperature control system for large-volume concrete provided in this embodiment features a fixedly installed intelligent gimbal unit that can stably acquire infrared images of a preset area of ​​the large-volume concrete, enabling continuous monitoring of the corresponding area. A drone temperature measurement unit performs full-coverage flight inspections at preset time intervals, acquiring infrared images of remaining areas that the intelligent gimbal unit cannot monitor. The combination of these two systems achieves comprehensive, blind-spot-free monitoring of the surface temperature of the large-volume concrete, improving the comprehensiveness and completeness of temperature monitoring.

[0068] In some alternative implementations, such as Figure 3 As shown, the controller includes: a data preprocessing unit, a temperature field reconstruction unit, and a temperature prediction unit.

[0069] like Figure 3 As shown, the data preprocessing unit is used to perform data cleaning, standardization, noise filtering, and feature extraction on contact temperature and non-contact temperature to obtain standard temperature data.

[0070] Specifically, the data preprocessing process is a mature existing technology, and will not be elaborated here.

[0071] like Figure 3 As shown, the temperature field reconstruction unit is used to reconstruct three-dimensional temperature field distribution data based on standard temperature data.

[0072] Specifically, the controller uses deep neural network algorithms and digital twin prediction models to process data, based on an artificial intelligence (AI) temperature field reconstruction algorithm. The AI ​​temperature field reconstruction algorithm adopts a hybrid architecture of convolutional neural networks and recurrent neural networks, and reconstructs a continuous three-dimensional temperature field distribution from sparse measurement point data through the principle of variational autoencoders.

[0073] like Figure 3 As shown, the temperature prediction unit is used to predict the temperature change trend of large-volume concrete over a preset time period based on three-dimensional temperature field distribution data.

[0074] Specifically, a digital twin prediction model combining finite element numerical computation and machine learning is employed. It utilizes a distributed architecture combining edge computing and cloud computing, comprising two core components: an AI temperature field reconstruction algorithm and a digital twin prediction model. The AI ​​temperature field reconstruction algorithm is based on deep neural network theory, employing a hybrid architecture of convolutional neural networks and recurrent neural networks. The network input layer receives multi-source sensor data, including fiber optic temperature data, wireless node temperature data, thermal imaging temperature data, and environmental parameter data. After data standardization and denoising, spatial features are extracted through multi-layer convolution and pooling operations, and then time-series features are extracted through an LSTM network. For example... Figure 7 The diagram shown is a flowchart illustrating the controller's data processing flow.

[0075] The temperature field reconstruction algorithm employs the principle of variational autoencoder, enabling the reconstruction of a continuous three-dimensional temperature field distribution from sparse measurement point data. The algorithm considers the thermal conductivity characteristics of concrete, boundary conditions, and initial conditions, optimizing the network training process through physical constraints. The reconstructed temperature field achieves a resolution of 0.1 m × 0.1 m × 0.1 m, clearly displaying the temperature gradient distribution and hotspot regions within the concrete. The algorithm runs on an edge computing device configured with an NVIDIA Jetson AGXXavier processor, featuring 512 CUDA cores and 32 GB of memory, enabling real-time data processing and analysis.

[0076] The digital twin prediction model is based on the kinetic theory of concrete hydration reaction and employs a combination of finite element numerical calculation and machine learning. The model considers the release law of cement hydration heat, the heat conduction equation, boundary heat transfer conditions, and the influence of reinforcement and formwork. The hydration heat calculation uses the equivalent age method, taking into account the effect of temperature on the hydration reaction rate. The heat transfer calculation uses the three-dimensional finite element method with a mesh generation accuracy of 0.1 meters and a time step of 5 minutes.

[0077] The machine learning module employs an ensemble learning approach, combining multiple algorithms such as random forests, gradient boosting trees, and neural networks, and uses a voting mechanism to arrive at the final prediction result. Model training utilizes an incremental learning strategy, continuously optimizing and adjusting prediction parameters based on real-time monitoring data. The prediction model considers the influence of various factors such as concrete mix proportions, ambient temperature, humidity, and wind speed, achieving a prediction accuracy of over 90% and a prediction time span of up to 72 hours.

[0078] This is the first time that artificial intelligence technology has been applied to the field of temperature control for large-volume concrete. Through deep neural network algorithms, it achieves intelligent reconstruction from sparse measuring point data to a continuous three-dimensional temperature field, with a reconstruction accuracy of 0.1m × 0.1m × 0.1m. The digital twin prediction model, combining finite element numerical calculation and machine learning methods, achieves a prediction accuracy exceeding 90% and a prediction time span of up to 72 hours. This provides a scientific basis for construction decisions, accurately predicting the time and location of temperature peaks 24 to 48 hours in advance, significantly improving the foresight and targeting of temperature control measures.

[0079] The temperature control system for large-volume concrete provided in this embodiment preprocesses temperature data to obtain standard temperature data, ensuring the accuracy and standardization of the data. The temperature field reconstruction unit generates a three-dimensional temperature field distribution based on the standard temperature data, intuitively presenting the spatial distribution of concrete temperature. The temperature prediction unit predicts future temperature change trends based on the three-dimensional temperature field data, realizing forward-looking control of the temperature dynamics of large-volume concrete.

[0080] In some alternative implementations, such as Figure 3 As shown, the temperature regulation module includes a cooling pipe network unit and an insulation plate unit.

[0081] like Figure 3 As shown, the cooling pipe network unit is connected to the controller and is used to increase or decrease the flow rate of the cooling medium in the pipe network according to the temperature adjustment command of the controller.

[0082] like Figure 3 As shown, the insulation board unit is connected to the controller and is used to open or close the insulation board and turn on or off the electric heating wire inside the insulation board according to the temperature adjustment command of the controller.

[0083] Specifically, the intelligent cooling pipe network uses PE-RT polyethylene pipes, arranged in a spiral structure, and equipped with stepper motor-driven electric ball valves as adaptive flow control valves. The surface insulation control unit uses paraffin-based phase change material composite insulation boards with a phase change temperature of 25°C, and electric heating wires with a power density of 100 W / m² are installed on the surface of the insulation boards. The temperature control module adopts a zoned closed-loop control strategy, dividing the concrete structure into multiple independent temperature control units to achieve fine-grained zoned adjustment. The intelligent cooling pipe network is equipped with adaptive flow control valves, achieving a flow control accuracy of ±2% and a response time of less than 30 seconds, which can dynamically adjust the cooling intensity according to real-time temperature deviations. The surface insulation control system uses phase change material composite insulation boards, which buffer temperature fluctuations through the latent heat of phase change, and combined with the electric heating system to achieve stable temperature control around the clock. Practical engineering applications show that this system can stably control the temperature difference between the inside and outside of the concrete within 20°C, reducing the incidence of temperature cracks by more than 95%.

[0084] likeFigure 8 The diagram shows the structure of the temperature regulation module. The internal cooling process is as follows: When the intelligent analysis system detects that the internal temperature of the concrete is too high, it immediately sends a command to the intelligent cooling pipe network to make the system automatically open the electric valve in the corresponding area and increase the cooling water flow. The cold water circulates through the pipes embedded in the concrete to remove excess heat. The flow regulation is completed within 30 seconds with an accuracy of ±2%.

[0085] The surface insulation adjustment process is as follows: the surface insulation control unit automatically adjusts according to the internal and external temperature difference. If the surface dissipates heat too quickly, the system increases the insulation layer thickness and activates the electric heating wire to supplement heat; if the surface temperature is too high, the insulation thickness is reduced to accelerate heat dissipation. The phase change material in the insulation material automatically absorbs and releases heat at 25°C, playing a temperature buffering role.

[0086] The system continuously monitors the temperature control effect and fine-tunes the cooling intensity and insulation degree according to the actual temperature changes to ensure that the temperature difference between the inside and outside of the concrete is always controlled within a safe range, that is, below 20-25°C, just like a thermostat for intelligent adjustment.

[0087] The temperature control system for large-volume concrete provided in this embodiment uses a cooling pipe network unit to adjust the flow rate of the cooling medium according to instructions, thereby controlling the temperature of the concrete. The insulation board unit flexibly adjusts the concrete's insulation or heating state by switching the insulation board on and off and the heating wires on and off. The combination of these two systems precisely executes temperature adjustment commands based on the temperature change trends in different areas and at different times within the large-volume concrete, effectively controlling the temperature difference between the inside and outside of the concrete and reducing the risk of cracks caused by temperature changes.

[0088] According to an embodiment of the present invention, a method for temperature control of large-volume concrete is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0089] This embodiment provides a temperature control method for large-volume concrete, which can be used in the aforementioned computer system or temperature control system for large-volume concrete. Figure 9 This is a flowchart of a temperature control method for large-volume concrete according to an embodiment of the present invention, such as... Figure 9 As shown, the process includes the following steps: Step S201: Obtain the contact temperature and non-contact temperature of the large-volume concrete, and preprocess the contact temperature and non-contact temperature to obtain standard temperature data.

[0090] Step S202: Construct three-dimensional temperature field distribution data of large-volume concrete based on standard temperature data, and predict the temperature change trend in the future preset time period based on the three-dimensional temperature field distribution data.

[0091] Step S203: Adjust the temperature at various locations of the large-volume concrete based on the temperature change trend.

[0092] The temperature control method for large-volume concrete provided in this embodiment of the invention is applied to the temperature control of large-volume concrete in any embodiment of the invention, and possesses the corresponding beneficial effects of a temperature control system. Further process descriptions of the above steps are the same as in the previous corresponding embodiment, and will not be repeated here. The temperature control method and system for large-volume concrete provided in this embodiment have been successfully applied in several major engineering projects, including large-scale water conservancy hub locks, foundation platforms of super high-rise buildings, and main structures of subway stations, achieving excellent temperature control results. Compared with traditional temperature control methods, this system improves construction efficiency by 30%, saves 18% in overall costs, and significantly improves project quality. The automated operation of the system reduces manual monitoring input, lowers construction safety risks, and improves the standardization level of temperature control management. Furthermore, this technology accumulates valuable data resources for large-volume concrete construction; optimization suggestions generated through big data analysis can guide the design and construction of similar projects, possessing significant technical promotion value.

[0093] Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0094] The following is a detailed reference. Figure 10 This diagram illustrates a suitable structural schematic for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 1001, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from memory 1008 into random access memory (RAM) 1003. The RAM 1003 also stores various programs and data required for the operation of the electronic device. The processor 1001, ROM 1002, and RAM 1003 are interconnected via a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

[0095] Typically, the following devices can be connected to the I / O interface 1005: input devices 1006 including, for example, a touchscreen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 1007 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; memory devices 1008 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows electronic devices to exchange data via wireless or wired communication with other devices. Although Figure 10 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0096] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 1009, or installed from a memory 1008, or installed from a ROM 1002. When the computer program is executed by the processor 1001, it performs the functions defined in the temperature control method for large-volume concrete according to embodiments of the present invention.

[0097] Figure 10 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0098] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the temperature control method for large-volume concrete shown in the above embodiments is implemented.

[0099] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A temperature control system for large-volume concrete, characterized in that, The system includes: a multi-dimensional sensor module, a non-contact monitoring module, a controller, and a temperature control module, wherein... The multi-dimensional sensor module, located at the temperature measurement point inside the large volume of concrete, is connected to the input terminal of the controller to collect the contact temperature of each temperature measurement point and transmit it to the controller. The non-contact monitoring module is located at a preset position around the large-volume concrete and is connected to the input terminal of the controller. It is used to collect the non-contact temperature of the preset area of ​​the large-volume concrete and transmit it to the controller. The controller is used to perform temperature analysis based on the contact temperature and non-contact temperature of the large-volume concrete, generate a three-dimensional temperature field distribution of the large-volume concrete, predict the temperature change trend over a future preset time period based on the three-dimensional temperature field distribution, and generate a temperature adjustment command based on the temperature change trend. A temperature regulation module, which is connected to the output of the controller, is used to regulate the temperature of concrete that exhibits abnormal temperature change trends according to the temperature regulation command.

2. The system according to claim 1, characterized in that, The system also includes a cloud monitoring module, which is connected to the controller and is used to acquire and display temperature data of the large-volume concrete, and to provide multi-level early warnings based on the faults or temperature change trends of the temperature control system of the large-volume concrete.

3. The system according to claim 1 or 2, characterized in that, The temperature measurement points include fiber optic temperature measurement points and wireless temperature measurement points. The multi-dimensional sensor module includes: a three-dimensional temperature field reconstruction sensor array and a wireless temperature sensor array, wherein... The three-dimensional temperature field reconstruction sensor array uses optical fiber as the sensing medium and employs wavelength division multiplexing technology to set multiple fiber optic temperature measurement points on each fiber. A wireless temperature sensor array is used to select multiple wireless temperature measurement points on an optical fiber based on the location of the temperature measurement points, and to place wireless temperature sensors at each of the wireless temperature measurement points.

4. The system according to claim 3, characterized in that, The wireless temperature sensor includes: a wireless temperature acquisition subunit, a wireless communication subunit, a microprocessor, and a power supply unit, wherein... A wireless temperature acquisition subunit, which is connected to the wireless communication subunit, is used to acquire the concrete temperature at the corresponding wireless temperature measurement point and transmit the acquired concrete temperature to the wireless communication subunit. A wireless communication subunit, which is connected to the microprocessor, is used to transmit the concrete temperature to the microprocessor; A microprocessor is used to convert the concrete temperature into an electrical signal; An electronic power supply unit is provided for the wireless temperature acquisition subunit, the wireless communication subunit, and the microprocessor.

5. The system according to claim 1, characterized in that, The non-contact monitoring module includes: an intelligent gimbal unit and a drone temperature measurement unit, wherein, The intelligent gimbal unit is fixedly installed at a preset position around the large volume concrete to collect infrared images of the preset area of ​​the large volume concrete. The drone temperature measurement unit performs full-coverage aerial inspections of large-volume concrete at preset time intervals, acquiring infrared images of the remaining areas of large-volume concrete that cannot be monitored by the intelligent gimbal unit.

6. The system according to claim 1, characterized in that, The controller includes: a data preprocessing unit, a temperature field reconstruction unit, and a temperature prediction unit, wherein... The data preprocessing unit is used to perform data cleaning, standardization, noise filtering, and feature extraction on the contact temperature and non-contact temperature to obtain standard temperature data. A temperature field reconstruction unit is used to reconstruct three-dimensional temperature field distribution data based on the standard temperature data. The temperature prediction unit is used to predict the temperature change trend of large-volume concrete over a preset time period based on three-dimensional temperature field distribution data.

7. The system according to claim 1, characterized in that, The temperature regulation module includes: a cooling pipe network unit and an insulation board unit, wherein, A cooling pipe network unit, which is connected to the controller, is used to increase or decrease the flow rate of the cooling medium in the pipe network according to the temperature adjustment command of the controller; An insulation board unit, which is connected to the controller, is used to open or close the insulation board and turn on or off the electric heating wire inside the insulation board according to the temperature adjustment command of the controller.

8. A method for temperature control of large-volume concrete, characterized in that, The method is applied to the temperature control system of any one of claims 1-7 for large-volume concrete, and the method includes: The contact temperature and non-contact temperature of the large-volume concrete are obtained, and the contact temperature and non-contact temperature are preprocessed to obtain standard temperature data. Based on the standard temperature data, a three-dimensional temperature field distribution data of large-volume concrete is constructed, and the temperature change trend in the future preset time period is predicted based on the three-dimensional temperature field distribution data. The temperature at various locations of the large-volume concrete is adjusted based on the aforementioned temperature change trend.

9. An electronic device, characterized in that, include: A memory and a processor are communicatively connected, the memory storing computer instructions, and the processor executing the computer instructions to perform the method of claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the method of claim 8.

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