Intelligent temperature monitoring system and method for mass concrete

Abstract

The invention discloses a mass concrete intelligent temperature monitoring system and method, and the system comprises a high-precision temperature sensor, a data collection node which is connected with the high-precision temperature sensor and is responsible for carrying out the primary processing and integration of temperature data collected by the sensor, and a data collection terminal which serves as a data convergence center of the whole monitoring system and is used for collecting the temperature data. The intelligent temperature monitoring system comprises a plurality of data acquisition nodes which are connected in a wired or wireless communication mode, a data monitoring platform which operates at a server end and is a core control and management unit of the whole intelligent temperature monitoring system, and a circulating water cooling control system which is composed of a cooling water pump, a cooling tower, a cooling water pipe network, a temperature control main station and the like. The cooling water pipe network is embedded in the concrete in advance to form a closed water circulation loop; the temperature control master station receives a cooling control instruction sent by the data monitoring platform, and adjusts the rotating speed of a cooling water pump and the working state of a cooling tower according to the instruction, so that the flow and temperature of cooling water in a cooling water pipe network are accurately controlled; through flowing of circulating water in the concrete, redundant heat in the concrete is taken away, effective regulation and control over the temperature in the concrete are achieved, key indexes such as the highest temperature and the temperature gradient of the concrete are controlled within a reasonable range all the time, and concrete cracks caused by temperature stress are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete construction, and in particular to a large-volume concrete intelligent temperature monitoring method. Background Art

[0002] In the field of contemporary large-scale construction projects, large volumes of concrete can be seen everywhere, such as the towering foundations of high-rise buildings and the solid and stable pier structures of large bridges, all of which rely on its strong support.

[0003] Due to its large volume, cement releases a large amount of heat during hydration, causing the temperature inside the concrete to rise sharply, while the concrete surface dissipates heat quickly, thus forming a large temperature gradient and generating temperature stress. When the temperature stress exceeds the tensile strength of the concrete, cracks will occur, seriously affecting the strength, durability and waterproof performance of the concrete structure. Traditional methods of monitoring and controlling the temperature of large-volume concrete mostly rely on manual regular measurement and manual adjustment of cooling equipment, which is not only inefficient, but also difficult to achieve real-time and accurate monitoring and regulation, and cannot meet the strict requirements of modern complex construction projects for the construction quality of large-volume concrete. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent temperature monitoring method for large-volume concrete, which effectively solves the temperature control problem in the construction process of large-volume concrete through high-precision sensing technology, automated data acquisition and transmission, intelligent data analysis and processing, and precise cooling control, and improves the construction quality and reliability of concrete structures.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A mass concrete intelligent temperature monitoring system, comprising:

[0007] High-precision temperature sensor: Made of high-sensitivity and high-stability thermistors, it can accurately measure tiny temperature changes inside concrete. Before pouring concrete, the sensor is buried in key locations inside the concrete according to a predetermined layout plan, such as the center of the concrete, middle layers of different depths, and near the surface, so as to fully and accurately obtain the distribution information of the temperature field inside the concrete. The measuring range should be: -30℃ to 125℃.

[0008] Data acquisition node: connected to the high-precision temperature sensor, responsible for the preliminary processing and integration of the temperature data collected by the sensor; the data acquisition node has functions such as signal amplification, filtering, and analog-to-digital conversion. It converts the weak analog signal output by the sensor into a digital signal, and performs preliminary verification and sorting of the data to ensure the accuracy and integrity of the data; each data acquisition node can be connected to multiple temperature sensors to form a local data acquisition network to improve the coverage and data acquisition efficiency of the monitoring system.

[0009] Data acquisition terminal: As the data aggregation center of the entire monitoring system, it is connected to multiple data acquisition nodes through wired or wireless communication; the data acquisition terminal receives data from each data acquisition node, and further summarizes, stores and pre-processes the data; it has powerful data processing capabilities and large-capacity storage functions, and can analyze and process massive temperature data in real time, and extract key temperature characteristic information, such as maximum temperature, temperature gradient, temperature change rate, etc.; at the same time, the data acquisition terminal is also responsible for data interaction with the data monitoring platform, uploading the processed data to the data monitoring platform, and receiving control instructions from the platform.

[0010] Data monitoring platform: It runs on the server side and is the core control and management unit of the entire intelligent temperature monitoring system. The data monitoring platform receives temperature data uploaded by the data acquisition terminal, and conducts in-depth analysis and judgment on these data based on the pre-set large-volume concrete temperature control standards and algorithms. The platform has a visual data display function, which intuitively presents the real-time changes in the internal temperature of the concrete and the historical data trends in the form of charts, curves, etc., so that construction management personnel can check and grasp the temperature status of the concrete at any time. When the monitored temperature data exceeds the preset safety threshold, the data monitoring platform automatically issues an early warning message to notify the construction personnel to take corresponding measures. In addition, the data monitoring platform is also linked with the circulating water cooling control system to automatically generate cooling control instructions based on the temperature data, and send the instructions to the circulating water cooling control system to achieve automatic regulation of the concrete temperature.

[0011] Circulating water cooling control system: It consists of a cooling water pump, cooling tower, cooling water network and temperature control master station. The cooling water network is pre-buried in the concrete to form a closed water circulation loop. The temperature control master station receives the cooling control instructions sent by the data monitoring platform, and adjusts the speed of the cooling water pump and the working state of the cooling tower according to the instructions, thereby accurately controlling the flow and temperature of the cooling water in the cooling water network. The circulating water flows through the concrete, taking away the excess heat inside the concrete, and effectively controlling the temperature inside the concrete, so that key indicators such as the maximum temperature and temperature gradient of the concrete are always controlled within a reasonable range, avoiding concrete cracks caused by temperature stress.

[0012] Furthermore, the data acquisition node supports data acquisition and storage of 8 or 16 temperature sensors. The acquisition frequency can be remotely configured. It supports wired and wireless communication methods. It can be powered by a lithium battery or draw power from a data acquisition terminal. It can preliminarily summarize and temporarily store data collected by multiple temperature sensors, and can flexibly interact with the data acquisition terminal.

[0013] Furthermore, the data acquisition terminal is powered by AC220V, supports wired and wireless communication with itself, and communicates with the platform using a 4G traffic card; the data acquisition node meets the data acquisition and storage requirements for more than 20 consecutive days, supports automatic or manual uploading and resuming, and automatically completes the entire process from signal acquisition to result output. It also has an alarm function when the cooling rate is too fast or the temperature difference between the inside and outside is too large.

[0014] Furthermore, the data monitoring platform adopts a B / S architecture, which consists of information statistics, basic information initialization, large-volume concrete monitoring program management, large-volume concrete three-dimensional graphical display, monitoring data processing, and graphical report display.

[0015] Furthermore, the cooling water pipe network adopts Φ50×2.5mm steel pipe; and the distance between pipe cooling in the horizontal direction is controlled at about 1.5m, and the distance between pipe cooling in the height direction is also controlled at about 1.5m; the pipe cooling directions between layers are orthogonal, and are arranged in a "well" shape; during construction, additional steel bars are required to position or support the water pipes, and the cooling water pipes are fixed to the steel bars by binding.

[0016] Furthermore, a method for intelligent temperature monitoring of mass concrete comprises the following steps:

[0017] S1. Sensor layout and system initialization: Before pouring large-volume concrete, formulate a layout plan for high-precision temperature sensors based on the design size, shape and thermal conductivity characteristics of the concrete structure, and determine the buried position and depth of the sensors inside the concrete; connect the sensors to the data acquisition nodes, and initialize the data acquisition nodes, data acquisition terminals, data monitoring platforms and circulating water cooling control systems, including equipment parameter configuration, communication link debugging, temperature threshold setting, etc., to ensure that the entire system is in normal working condition;

[0018] S2. Temperature data collection and transmission: During the concrete pouring process and the curing period after pouring, high-precision temperature sensors collect temperature data inside the concrete in real time; after preliminary processing of the sensor data by the data acquisition node, the data is transmitted to the data acquisition terminal; the data acquisition terminal summarizes, stores and pre-processes the received data, extracts key temperature characteristic information, and uploads the processed data to the data monitoring platform; the data transmission process adopts a reliable communication protocol to ensure the real-time, accuracy and integrity of the data;

[0019] S3. Data monitoring and analysis: After receiving the temperature data uploaded by the data acquisition terminal, the data monitoring platform conducts real-time monitoring and in-depth analysis of the data. The platform calculates the key parameters of the concrete, such as the maximum temperature, temperature gradient, and temperature change rate, based on the preset temperature control standards and algorithms, and compares them with the set safety thresholds. If the monitored temperature data exceeds the safety threshold, the platform immediately issues an early warning message and notifies the construction management personnel through SMS, email, or system pop-up windows. At the same time, the platform visualizes the temperature data and analysis results, and generates intuitive charts such as temperature curves and temperature cloud maps, so that construction personnel can fully understand the distribution and change trend of the temperature field inside the concrete.

[0020] S4. Generation and execution of cooling control instructions: When the data monitoring platform determines that cooling control is required, it automatically generates cooling control instructions based on the current temperature data and the preset cooling control strategy; the instructions include parameters such as the speed adjustment value of the cooling water pump, the start and stop status of the cooling tower, and the flow rate and temperature setting value of the cooling water; after receiving the control instructions, the intelligent controller of the circulating water cooling control system drives the cooling water pump and the cooling tower to work according to the instructions, accurately controls the circulation parameters of the cooling water in the cooling water network, thereby realizing the regulation of the internal temperature of the concrete; during the cooling control process, the data monitoring platform continuously monitors the changes in temperature data, dynamically adjusts the cooling control instructions according to the actual effect, and ensures that the internal temperature of the concrete is always controlled within a reasonable range;

[0021] S5. Data recording and report generation: During the entire large-volume concrete construction process, the data monitoring platform records and stores all temperature data, early warning information, cooling control instructions, system operation status and other information in detail; after the construction is completed, the platform generates a detailed temperature monitoring report based on these data. The report content includes the temperature change curve inside the concrete, the time and location of the highest temperature, cooling control measures and effects, etc.

[0022] Furthermore, the step S1 is specifically as follows:

[0023] Measuring point arrangement: Based on the symmetry of the foundation structure, 1 / 4 area of ​​each layer is selected for testing; 3 surface temperature measuring points are set on each layer, marked as points A, E, and F, and 4 internal temperature measuring points, namely points B, C, D, and G; when determining the measuring points, first select the typical cross-section that can represent the temperature conditions of the entire area as the side position based on the shape of the measured component; then, fully refer to the shape characteristics of the measured component and the monitoring experience of previous similar projects, and make appropriate optimization and adjustments on the basis of complying with the requirements of the specifications, so as to more accurately reflect the actual temperature changes inside the concrete, and provide reliable data support and guarantee for the quality control of large-volume concrete construction.

[0024] Furthermore, the step S2 is specifically as follows:

[0025] Data smoothing can adopt moving average method or exponential smoothing method to reduce data fluctuation and highlight temperature change trend. After completing data preprocessing, extract key temperature characteristic information, such as the maximum temperature, minimum temperature, average temperature, temperature gradient and temperature change rate inside the concrete. Through specific algorithms and data processing models, deeply analyze the data, calculate the temperature extremes of sensors at different positions within a certain time range, determine the temperature gradient of areas with large temperature differences, and analyze the difference of temperature data at adjacent acquisition time points to obtain the temperature change rate. Subsequently, the data acquisition terminal packages and encrypts the data containing key characteristic information after processing according to the pre-set communication protocol matching the data monitoring platform, such as a specific data transmission format based on the TCP / IP protocol, and stably uploads the data to the data monitoring platform through a wired network, such as Ethernet or a wireless network. During the transmission process, data verification and error correction are continuously performed to ensure the integrity and accuracy of the data, so that the data monitoring platform can receive accurate and complete concrete temperature data information in a timely manner, so as to carry out subsequent data analysis, visualization display and linkage decision-making with the cooling control system, so as to effectively monitor the internal temperature of the concrete and make reasonable adjustments in time.

[0026] Furthermore, the step S3 is specifically as follows:

[0027] Moulding temperature monitoring: During the implementation, the moulding temperature is directly controlled by the construction unit and the supervision unit. The monitoring unit tests the moulding temperature for verification. The verification range is all measuring points. The initial reading is taken before pouring, and real-time monitoring is carried out during pouring, which lasts until after pouring.

[0028] Maximum temperature rise monitoring: When approaching the temperature peak, the system automatically performs a sampling frequency of 1 time / h, collects the internal highest temperature measurement point and automatically draws the temperature rise curve. When the temperature approaches the threshold of 10°C, the temperature rise curvature analysis is performed once every hour, and the exponential function is used to fit the maximum temperature rise value according to the slope change. If the fitting value exceeds the maximum temperature rise standard value, an early warning is issued, and the water supply is increased in time or the inlet water temperature is adjusted to control it;

[0029] Monitoring of the temperature difference between inside and outside: According to the temperature control standard, check the historical data every 4 hours, take the temperature difference between the center measuring point and the surface measuring point as the temperature difference between inside and outside, analyze the current value and change trend of the temperature difference between inside and outside, and issue an early warning if it exceeds 20℃ and is likely to continue to rise, and promptly suggest the construction unit to implement packaging measures;

[0030] Interlayer temperature difference monitoring: Before and after the upper layer of concrete is put into the mold, the top surface temperature of the lower layer of concrete and the bottom surface temperature of the upper layer of concrete are monitored, the temperature difference of the measuring points is calculated, and the interlayer temperature difference standard is used as the control value to verify the mold entry temperature of the upper layer of concrete and the interlayer temperature difference;

[0031] Water temperature rise monitoring: Check the temperature difference between the cooling water inlet and outlet every 4 hours. When the temperature difference exceeds 6°C and is likely to continue to rise, issue an early warning and appropriately increase the inlet temperature or increase the inlet flow rate.

[0032] Monitoring of the temperature difference between the surface and the environment: Check the temperature difference between the surface and the environment every 4 hours. When the temperature difference exceeds 12°C, a cold shock warning will be issued, and the construction unit is advised to insulate the surface;

[0033] Cooling rate monitoring: The cooling rate is controlled within the range of 2℃ / day. By monitoring the temperature of the center point, the temperature reduction is calculated every 4 hours and controlled at 0.6℃ / 4h. When the cooling rate exceeds the limit, the water inlet temperature is appropriately increased or the water inlet flow is reduced.

[0034] Furthermore, the step S3 further includes:

[0035] Maximum temperature calculation: Assume that the temperature data sequence collected within a period of time is T 1 , T 2 , T 3 ...T n , then the maximum temperature is calculated using the formula: T max =max(T 1 , T 2 , T 3 ...T n );

[0036] Temperature gradient calculation: Take two adjacent points as an example, and set the distance to be Δ x The temperatures of two adjacent measuring points are Ta and T b , the temperature gradient is calculated using the formula:

[0037] Temperature change rate calculation: Based on adjacent time intervals, let the time interval be Δ t , at time t 1 The temperature at T t1 , at time t 2 The temperature at T t2 , then the temperature change rate is calculated using the formula:

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. Accurate monitoring: High-precision temperature sensors can accurately capture tiny temperature changes inside concrete with their high sensitivity and stability. Combined with a carefully planned measurement point layout strategy, they can fully and accurately reflect the temperature field distribution inside concrete, provide a reliable basis for temperature control, and effectively avoid the risk of temperature out of control due to monitoring errors.

[0040] 2. Efficient data processing and transmission: Through the collaborative work of data collection nodes, data collection terminals and data monitoring platforms, it has powerful data processing capabilities, can quickly complete data collection, aggregation, storage, preprocessing and transmission, and adopts reliable communication protocols and encryption technology to ensure the real-time, accuracy and integrity of data, provide strong support for timely decision-making, and significantly improve construction management efficiency.

[0041] 3. Intelligent early warning and control: Through the data monitoring platform, the temperature data is deeply analyzed according to the preset standards and algorithms. The key parameters can be calculated in real time and compared with the safety threshold. Once the threshold is exceeded, accurate early warnings are immediately issued through various means. At the same time, cooling control instructions are automatically generated and linked with the circulating water cooling control system to achieve dynamic and accurate control of concrete temperature, effectively prevent cracks, and ensure the quality and durability of concrete structures.

[0042] 4. Visual display and report generation: The platform displays temperature data and analysis results in an intuitive chart format, which allows construction personnel to intuitively understand the trend of concrete temperature changes, identify problems in a timely manner and take measures. The detailed temperature monitoring report generated after the construction is completed provides valuable reference materials for engineering summaries and subsequent similar projects, and helps to continuously improve construction processes and temperature control strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 This is the flow chart of intelligent temperature monitoring system for mass concrete;

[0045] Figure 2 This is a schematic diagram of the composition of the intelligent temperature monitoring system for large-volume concrete;

[0046] Figure 3 This is the layout diagram of the cooling water pipes 1, 3, and 5 layers;

[0047] Figure 4 This is the layout diagram of the cooling water pipe 2 and 4 layers;

[0048] Figure 5 Schematic diagram of temperature sensor layout;

[0049] Figure 6 It is a flow chart of intelligent temperature monitoring method for mass concrete;

[0050] Figure 7 This is a schematic diagram of the temperature measurement point layout;

[0051] Figure 8 This is a specific flow chart of step S3. DETAILED DESCRIPTION

[0052] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] A number of embodiments are given below to describe the present invention in detail.

[0054] Example 1

[0055] like Figures 1 to 5 As shown, a mass concrete intelligent temperature monitoring system comprises:

[0056] High-precision temperature sensor: Made of highly sensitive and stable thermistors, it can accurately measure tiny temperature changes inside concrete. Before pouring concrete, the sensor is buried in key locations inside concrete, such as the center of concrete, middle layers of different depths, and near the surface, in accordance with a predetermined layout plan, to comprehensively and accurately obtain the distribution information of the temperature field inside concrete. The measuring range should be: -30°C to 125°C.

[0057] Data acquisition node: connected to high-precision temperature sensors, responsible for preliminary processing and integration of temperature data collected by the sensors; data acquisition nodes have functions such as signal amplification, filtering, and analog-to-digital conversion, converting the weak analog signals output by the sensors into digital signals, and performing preliminary verification and sorting of the data to ensure the accuracy and integrity of the data; each data acquisition node can be connected to multiple temperature sensors to form a local data acquisition network to improve the coverage of the monitoring system and data acquisition efficiency;

[0058] Data acquisition terminal: As the data aggregation center of the entire monitoring system, it is connected to multiple data acquisition nodes through wired or wireless communication. The data acquisition terminal receives data from each data acquisition node and further summarizes, stores and pre-processes the data. It has powerful data processing capabilities and large-capacity storage functions, and can analyze and process massive temperature data in real time, extracting key temperature characteristic information, such as maximum temperature, temperature gradient, temperature change rate, etc. At the same time, the data acquisition terminal is also responsible for data interaction with the data monitoring platform, uploading the processed data to the data monitoring platform, and receiving control instructions from the platform.

[0059] Data monitoring platform: It runs on the server side and is the core control and management unit of the entire intelligent temperature monitoring system. The data monitoring platform receives the temperature data uploaded by the data acquisition terminal, and conducts in-depth analysis and judgment on these data based on the pre-set large-volume concrete temperature control standards and algorithms. The platform has a visual data display function, which intuitively presents the real-time changes in the internal temperature of the concrete and the historical data trends in the form of charts, curves, etc., so that construction management personnel can check and grasp the temperature status of the concrete at any time. When the monitored temperature data exceeds the preset safety threshold, the data monitoring platform automatically issues an early warning message to notify the construction personnel to take corresponding measures. In addition, the data monitoring platform is also linked with the circulating water cooling control system to automatically generate cooling control instructions based on the temperature data, and send the instructions to the circulating water cooling control system to achieve automatic regulation of the concrete temperature.

[0060] Circulating water cooling control system: It consists of cooling water pumps, cooling towers, cooling water pipe networks and temperature control master stations. The cooling water pipe network is pre-buried in the concrete to form a closed water circulation loop. The temperature control master station receives cooling control instructions sent by the data monitoring platform, and adjusts the speed of the cooling water pump and the working state of the cooling tower according to the instructions, thereby accurately controlling the flow and temperature of cooling water in the cooling water pipe network. The circulating water flows inside the concrete, taking away the excess heat inside the concrete, and effectively controlling the temperature inside the concrete, so that key indicators such as the maximum temperature and temperature gradient of the concrete are always controlled within a reasonable range, avoiding concrete cracks caused by temperature stress.

[0061] The intelligent temperature monitoring system for large-volume concrete uses high-precision temperature sensors to accurately collect internal temperature information. The data collection nodes perform preliminary processing and integration. The data collection terminals summarize, store, pre-process and interact with the data monitoring platform. The data monitoring platform conducts in-depth analysis and judgment, visual display, early warning and linkage with the circulating water cooling control system. The circulating water cooling control system adjusts the cooling water flow and temperature according to instructions, which effectively improves the accuracy, real-time and automation of large-volume concrete temperature monitoring, accurately controls key indicators such as the maximum temperature and temperature gradient of concrete, avoids cracks caused by temperature stress, effectively guarantees the quality and structural stability of large-volume concrete projects, greatly improves construction management efficiency and scientific decision-making, and provides comprehensive, reliable and intelligent temperature monitoring and control solutions for large-volume concrete construction.

[0062] In this embodiment, the data acquisition node supports data acquisition and storage of 8 or 16 temperature sensors, the acquisition frequency can be remotely configured, supports wired and wireless communication methods, can be powered by lithium batteries or powered by the data acquisition terminal, can preliminarily summarize and temporarily store the data collected by multiple temperature sensors, and can flexibly interact with the data acquisition terminal;

[0063] The data acquisition node supports data acquisition and storage of 8 or 16 temperature sensors, the acquisition frequency can be remotely configured, and it is compatible with wired and wireless communication methods. It can also choose to be powered by a lithium battery or draw power from a data acquisition terminal. It can not only perform preliminary summary and temporary storage of data collected by multiple sensors, but also flexibly interact with the data acquisition terminal, effectively improving the flexibility, convenience and coverage of data acquisition, and laying a good foundation for the stable operation and efficient data flow of the entire large-volume concrete temperature monitoring system.

[0064] In this embodiment, the data acquisition terminal is powered by AC220V, supports wired and wireless communication with itself, and communicates with the platform using a 4G traffic card; the data acquisition node meets the needs of continuous data acquisition and storage for more than 20 days, supports automatic or manual uploading and continued transmission, and automatically completes the entire process from signal acquisition to result output. It also has an alarm function when the cooling rate is too fast or the temperature difference between the inside and outside is too large;

[0065] The data acquisition terminal uses AC220V power supply to ensure stable operation. It also supports wired and wireless communication with itself, as well as communication with the platform with the help of a 4G traffic card. The data acquisition node connected to it can meet the data acquisition and storage needs of more than 20 days, supports automatic or manual uploading and retransmission, and realizes full-process automated operation. It also has an alarm function for excessive cooling rate and excessive temperature difference between the inside and outside. The synergistic effect of the two greatly improves the reliability, continuity and intelligence of data acquisition, transmission and processing, providing a strong guarantee for large-volume concrete temperature monitoring.

[0066] In this embodiment, the data monitoring platform adopts a B / S architecture, which is composed of information statistics, basic information initialization, mass concrete monitoring plan management, mass concrete three-dimensional graphical display, monitoring data processing, and graphical report display.

[0067] The data monitoring platform adopts a B / S architecture and integrates functions such as information statistics, basic information initialization, large-volume concrete monitoring plan management, large-volume concrete three-dimensional graphical display, monitoring data processing, and graphical report display. It not only facilitates construction management personnel to easily access and operate through the web page, but also assists in large-volume concrete temperature monitoring in all aspects, and realizes efficient development of various links from data processing to intuitive display, from plan management to information statistics, providing strong support for accurate control of concrete temperature conditions and scientific decision-making.

[0068] In this embodiment, the cooling water pipe network uses Φ50×2.5mm steel pipes; the horizontal distance between pipes is controlled at about 1.5m, and the height distance between pipes is also controlled at about 1.5m; the pipe cooling directions between layers are orthogonal, and are arranged in a "well" shape; additional steel bars are required to position or support the water pipes during construction, and the cooling water pipes are fixed to the steel bars by binding;

[0069] The cooling water pipe network uses Φ50×2.5mm steel pipes, and the distance between pipes in the horizontal and vertical directions is reasonably planned to be controlled at about 1.5m, and the pipe cooling directions of each layer are orthogonal to each other in a "well" shape. During construction, the scientificity and stability of the cooling water pipe network layout are guaranteed by adding steel bar positioning supports and tying and fixing the cooling water pipes to the steel bars, which helps the cooling water to circulate evenly and efficiently inside the concrete, thereby more effectively removing the excess heat inside the concrete and realizing the reasonable regulation of the temperature of large-volume concrete;

[0070] The cooling water network uses Φ50×2.5mm steel pipes, and the horizontal and vertical distances between pipes are reasonably planned to be controlled at about 1.5m, and the cooling directions of the pipes are orthogonal to each other in a "well" shape. During construction, the scientificity and stability of the cooling water network layout are guaranteed by adding steel bar positioning supports and tying and fixing the cooling water pipes to the steel bars, which helps the cooling water to circulate evenly and efficiently inside the concrete, thereby more effectively taking away the excess heat inside the concrete and achieving reasonable regulation of the temperature of large-volume concrete.

[0071] Example 2

[0072] like Figure 6 As shown, a method for intelligent temperature monitoring of mass concrete comprises the following steps:

[0073] S1. Sensor layout and system initialization: Before pouring large-volume concrete, formulate a layout plan for high-precision temperature sensors based on the design size, shape and thermal conductivity characteristics of the concrete structure, and determine the buried position and depth of the sensors inside the concrete; connect the sensors to the data acquisition nodes, and initialize the data acquisition nodes, data acquisition terminals, data monitoring platforms and circulating water cooling control systems, including equipment parameter configuration, communication link debugging, temperature threshold setting, etc., to ensure that the entire system is in normal working condition;

[0074] S2. Temperature data collection and transmission: During the concrete pouring process and the curing period after pouring, high-precision temperature sensors collect temperature data inside the concrete in real time; after preliminary processing of the sensor data by the data acquisition node, the data is transmitted to the data acquisition terminal; the data acquisition terminal summarizes, stores and pre-processes the received data, extracts key temperature characteristic information, and uploads the processed data to the data monitoring platform; the data transmission process adopts a reliable communication protocol to ensure the real-time, accuracy and integrity of the data;

[0075] S3. Data monitoring and analysis: After receiving the temperature data uploaded by the data acquisition terminal, the data monitoring platform conducts real-time monitoring and in-depth analysis of the data. The platform calculates the key parameters of the concrete, such as the maximum temperature, temperature gradient, and temperature change rate, based on the preset temperature control standards and algorithms, and compares them with the set safety thresholds. If the monitored temperature data exceeds the safety threshold, the platform immediately issues an early warning message and notifies the construction management personnel through SMS, email, or system pop-up windows. At the same time, the platform visualizes the temperature data and analysis results, and generates intuitive charts such as temperature curves and temperature cloud maps, so that construction personnel can fully understand the distribution and change trend of the temperature field inside the concrete.

[0076] S4. Generation and execution of cooling control instructions: When the data monitoring platform determines that cooling control is required, it automatically generates cooling control instructions based on the current temperature data and the preset cooling control strategy; the instructions include parameters such as the speed adjustment value of the cooling water pump, the start and stop status of the cooling tower, and the flow rate and temperature setting value of the cooling water; after receiving the control instructions, the intelligent controller of the circulating water cooling control system drives the cooling water pump and the cooling tower to work according to the instructions, accurately controls the circulation parameters of the cooling water in the cooling water network, thereby realizing the regulation of the internal temperature of the concrete; during the cooling control process, the data monitoring platform continuously monitors the changes in temperature data, dynamically adjusts the cooling control instructions according to the actual effect, and ensures that the internal temperature of the concrete is always controlled within a reasonable range;

[0077] S5. Data recording and report generation: During the entire large-volume concrete construction process, the data monitoring platform records and stores all temperature data, early warning information, cooling control instructions, system operation status and other information in detail; after the construction is completed, the platform generates a detailed temperature monitoring report based on these data. The report content includes the temperature change curve inside the concrete, the time and location of the highest temperature, cooling control measures and effects, etc.

[0078] Specifically, step S1 is as follows:

[0079] Measurement point arrangement: Figure 7 As shown in the figure, according to the symmetry of the foundation structure, 1 / 4 area of ​​each layer is selected for testing; 3 surface temperature measuring points are set in each layer, marked as points A, E, and F, and 4 internal temperature measuring points, namely points B, C, D, and G; when determining the measuring points, firstly, according to the shape of the measured component, a typical cross-section that can represent the temperature conditions of the entire area is selected as the side position; then, with full reference to the shape characteristics of the measured component and the monitoring experience of previous similar projects, appropriate optimization and adjustment are carried out on the basis of complying with the requirements of the specifications, so as to more accurately reflect the actual temperature changes inside the concrete, and provide reliable data support and guarantee for the quality control of large-volume concrete construction.

[0080] According to the symmetry of the foundation structure, 1 / 4 area of ​​each layer is selected for testing, and the surface and internal temperature measuring points are reasonably set. In combination with the shape of the components and past monitoring experience, the measurement point layout is appropriately optimized on the basis of the specifications. This can more accurately reflect the actual temperature changes inside the concrete, lay a solid data foundation for the quality control of large-volume concrete construction, and effectively guarantee the construction quality.

[0081] Specifically, step S2 is as follows:

[0082] Data smoothing can adopt moving average method or exponential smoothing method to reduce data fluctuation and highlight temperature change trend. After completing data preprocessing, extract key temperature feature information, such as the maximum temperature, minimum temperature, average temperature, temperature gradient and temperature change rate inside the concrete. Through specific algorithms and data processing models, deeply analyze the data, calculate the temperature extremes of sensors at different locations within a certain time range, determine the temperature gradient of areas with large temperature differences, and analyze the difference of temperature data at adjacent acquisition time points to obtain the temperature change rate. Subsequently, the data acquisition terminal packages and encrypts the processed data containing key feature information according to the pre-set communication protocol matching the data monitoring platform, such as a specific data transmission format based on the TCP / IP protocol, and stably uploads the data to the data monitoring platform through a wired network, such as Ethernet or a wireless network. During the transmission process, data verification and error correction are continuously performed to ensure the integrity and accuracy of the data, so that the data monitoring platform can receive accurate and complete concrete temperature data information in a timely manner, so as to carry out subsequent data analysis, visualization display and linkage decision-making with the cooling control system, so as to effectively monitor the internal temperature of the concrete and make reasonable adjustments in time.

[0083] By using data smoothing methods such as moving average or exponential smoothing to reduce data fluctuations and highlight temperature change trends, key temperature feature information is extracted after data preprocessing, and relevant temperature parameters are deeply analyzed and calculated with the help of specific algorithms and models. The data is then packaged and encrypted according to the matching communication protocol and stably uploaded to the data monitoring platform via a wired or wireless network. Continuous error correction is performed during transmission to ensure data quality, ultimately achieving effective monitoring of the internal temperature conditions of the concrete, facilitating subsequent analysis, display, and coordinated decision-making with the cooling control system, so that reasonable adjustments can be made in a timely manner.

[0084] like Figure 8 As shown, specifically, step S3 is as follows:

[0085] Moulding temperature monitoring: During the implementation, the moulding temperature is directly controlled by the construction unit and the supervision unit. The monitoring unit tests the moulding temperature for verification. The verification range is all measuring points. The initial reading is taken before pouring, and real-time monitoring is carried out during pouring, which lasts until after pouring.

[0086] Maximum temperature rise monitoring: When approaching the temperature peak, the system automatically performs a sampling frequency of 1 time / h, collects the internal highest temperature measurement point and automatically draws the temperature rise curve. When the temperature approaches the threshold of 10°C, the temperature rise curvature analysis is performed once every hour, and the exponential function is used to fit the maximum temperature rise value according to the slope change. If the fitting value exceeds the maximum temperature rise standard value, an early warning is issued, and the water supply is increased in time or the inlet water temperature is adjusted to control it;

[0087] Monitoring of the temperature difference between inside and outside: According to the temperature control standard, check the historical data every 4 hours, take the temperature difference between the center measuring point and the surface measuring point as the temperature difference between inside and outside, analyze the current value and change trend of the temperature difference between inside and outside, and issue an early warning if it exceeds 20℃ and is likely to continue to rise, and promptly suggest the construction unit to implement packaging measures;

[0088] Interlayer temperature difference monitoring: Before and after the upper layer of concrete is put into the mold, the top surface temperature of the lower layer of concrete and the bottom surface temperature of the upper layer of concrete are monitored, the temperature difference of the measuring points is calculated, and the interlayer temperature difference standard is used as the control value to verify the mold entry temperature of the upper layer of concrete and the interlayer temperature difference;

[0089] Water temperature rise monitoring: Check the temperature difference between the cooling water inlet and outlet every 4 hours. When the temperature difference exceeds 6°C and is likely to continue to rise, issue an early warning and appropriately increase the inlet temperature or increase the inlet flow rate.

[0090] Monitoring of the temperature difference between the surface and the environment: Check the temperature difference between the surface and the environment every 4 hours. When the temperature difference exceeds 12°C, a cold shock warning will be issued, and the construction unit is advised to insulate the surface;

[0091] Cooling rate monitoring: The cooling rate is controlled within the range of 2℃ / day. By monitoring the temperature of the center point, the temperature drop is calculated every 4 hours and controlled at 0.6℃ / 4h. When the cooling rate exceeds the limit, the water inlet temperature is appropriately increased or the water inlet flow is reduced.

[0092] The monitoring system establishes a multi-dimensional indicator monitoring process for large-volume concrete temperature monitoring, including comprehensive verification of mold entry temperature, precise monitoring, early warning and regulation of maximum temperature rise, detailed analysis, early warning and corresponding measures of the temperature difference between inside and outside, effective monitoring and verification of interlayer temperature difference, timely monitoring, early warning and parameter adjustment of water temperature rise, close monitoring and early warning of surface and environmental temperature difference, and strict control, monitoring, early warning and adjustment of cooling rate, so as to achieve refined and all-round monitoring of temperature changes of large-volume concrete from pouring to maintenance, ensure that the concrete temperature is always within a reasonable range, effectively prevent quality problems such as cracks caused by abnormal temperature, ensure the stability and durability of large-volume concrete structures, and provide accurate and reliable data basis and decision-making support for construction quality control.

[0093] Example 3

[0094] As a further improvement of Example 2, step S3 further includes: maximum temperature calculation: assuming that the temperature data sequence collected within a period of time is T 1 , T 2 , T 3 ...T n , then the maximum temperature is calculated using the formula: T max =max(T 1 , T2 , T 3 ...T n );

[0095] Temperature gradient calculation: Take two adjacent points as an example, and set the distance to be Δ x The temperatures of two adjacent measuring points are T a and T b , the temperature gradient is calculated using the formula:

[0096] Temperature change rate calculation: Based on adjacent time intervals, let the time interval be Δ t , at time t 1 The temperature at T t1 , at time t 2 The temperature at T t2 , then the temperature change rate is calculated using the formula:

[0097] It should be noted that, in this article, the terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or apparatus.

[0098] Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core idea of ​​the present invention.

[0099] The above are only preferred embodiments of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. A mass concrete intelligent temperature monitoring system, characterized in that: include: High-precision temperature sensor: Made of highly sensitive and stable thermistors, it can accurately measure tiny temperature changes inside concrete; Before pouring concrete, the sensors are buried in key locations inside the concrete, such as the center of the concrete, the middle layer at different depths, and near the surface, according to a predetermined layout plan, so as to obtain comprehensive and accurate distribution information of the temperature field inside the concrete; the measuring range should be: -30℃ to 125℃; Data acquisition node: connected to high-precision temperature sensors, responsible for preliminary processing and integration of temperature data collected by the sensors; data acquisition nodes have functions such as signal amplification, filtering, and analog-to-digital conversion, converting the weak analog signals output by the sensors into digital signals, and performing preliminary verification and sorting of the data to ensure the accuracy and integrity of the data; each data acquisition node can be connected to multiple temperature sensors to form a local data acquisition network to improve the coverage of the monitoring system and data acquisition efficiency; Data acquisition terminal: As the data aggregation center of the entire monitoring system, it is connected to multiple data acquisition nodes through wired or wireless communication. The data acquisition terminal receives data from each data acquisition node and further summarizes, stores and pre-processes the data. It has powerful data processing capabilities and large-capacity storage functions, and can analyze and process massive temperature data in real time, extracting key temperature characteristic information, such as maximum temperature, temperature gradient, temperature change rate, etc. At the same time, the data acquisition terminal is also responsible for data interaction with the data monitoring platform, uploading the processed data to the data monitoring platform, and receiving control instructions from the platform. Data monitoring platform: runs on the server side and is the core control and management unit of the entire intelligent temperature monitoring system; The data monitoring platform receives the temperature data uploaded by the data acquisition terminal, and conducts in-depth analysis and judgment on these data based on the pre-set large-volume concrete temperature control standards and algorithms; the platform has a visual data display function, which intuitively presents the real-time changes in the internal temperature of the concrete and the historical data trends in the form of charts, curves, etc., so that construction management personnel can check and grasp the temperature status of the concrete at any time; when the monitored temperature data exceeds the preset safety threshold, the data monitoring platform automatically issues an early warning message to notify the construction personnel to take corresponding measures; in addition, the data monitoring platform is also linked with the circulating water cooling control system to automatically generate cooling control instructions based on the temperature data, and send the instructions to the circulating water cooling control system to achieve automatic regulation of the concrete temperature; Circulating water cooling control system: It consists of a cooling water pump, cooling tower, cooling water network and temperature control master station. The cooling water network is pre-buried in the concrete to form a closed water circulation loop. The temperature control master station receives the cooling control instructions sent by the data monitoring platform, and adjusts the speed of the cooling water pump and the working state of the cooling tower according to the instructions, thereby accurately controlling the flow and temperature of the cooling water in the cooling water network. The circulating water flows through the concrete, taking away the excess heat inside the concrete, and effectively controlling the temperature inside the concrete, so that key indicators such as the maximum temperature and temperature gradient of the concrete are always controlled within a reasonable range, avoiding concrete cracks caused by temperature stress.

2. The intelligent temperature monitoring system for mass concrete according to claim 1 is characterized in that: The data acquisition node supports data acquisition and storage of 8 or 16 temperature sensors. The acquisition frequency can be remotely configured. It supports wired and wireless communication methods. It can be powered by a lithium battery or draw power from a data acquisition terminal. It can preliminarily summarize and temporarily store data collected by multiple temperature sensors, and can flexibly interact with the data acquisition terminal.

3. The intelligent temperature monitoring system for mass concrete according to claim 1 is characterized in that: The data acquisition terminal is powered by AC220V, supports wired and wireless communication with itself, and communicates with the platform using a 4G traffic card; the data acquisition node meets the data acquisition and storage requirements for more than 20 consecutive days, supports automatic or manual uploading and resuming, and automatically completes the entire process from signal acquisition to result output. It also has an alarm function when the cooling rate is too fast or the temperature difference between the inside and outside is too large.

4. The intelligent temperature monitoring system for mass concrete according to claim 1 is characterized in that: The data monitoring platform adopts B / S architecture and consists of information statistics, basic information initialization, large-volume concrete monitoring plan management, large-volume concrete three-dimensional graphical display, monitoring data processing, and graphical report display.

5. The intelligent temperature monitoring system for mass concrete according to claim 1 is characterized in that: The cooling water pipe network adopts Φ50×2.5mm steel pipe; the distance between pipe cooling in the horizontal direction is controlled at about 1.5m, and the distance between pipe cooling in the height direction is also controlled at about 1.5m; the pipe cooling directions between layers are orthogonal, and are arranged in a "well" shape; during construction, additional steel bars need to be added to position or support the water pipes, and the cooling water pipes are fixed to the steel bars by binding.

6. A method for intelligent temperature monitoring of mass concrete, characterized in that: The following steps are involved: S1. Sensor layout and system initialization: Before pouring large-volume concrete, formulate a layout plan for high-precision temperature sensors based on the design size, shape and thermal conductivity characteristics of the concrete structure, and determine the buried position and depth of the sensors inside the concrete; connect the sensors to the data acquisition nodes, and initialize the data acquisition nodes, data acquisition terminals, data monitoring platforms and circulating water cooling control systems, including equipment parameter configuration, communication link debugging, temperature threshold setting, etc., to ensure that the entire system is in normal working condition; S2. Temperature data collection and transmission: During the concrete pouring process and the curing period after pouring, high-precision temperature sensors collect temperature data inside the concrete in real time; after preliminary processing of the sensor data, the data collection node transmits the data to the data collection terminal; The data acquisition terminal aggregates, stores and preprocesses the received data, extracts key temperature characteristic information, and uploads the processed data to the data monitoring platform; The data transmission process uses a reliable communication protocol to ensure the real-time, accuracy and integrity of the data; S3. Data monitoring and analysis: After receiving the temperature data uploaded by the data acquisition terminal, the data monitoring platform conducts real-time monitoring and in-depth analysis of the data. The platform calculates the key parameters of the concrete, such as the maximum temperature, temperature gradient, and temperature change rate, based on the preset temperature control standards and algorithms, and compares them with the set safety thresholds. If the monitored temperature data exceeds the safety threshold, the platform immediately issues an early warning message and notifies the construction management personnel via SMS, email, or system pop-up windows. At the same time, the platform visualizes the temperature data and analysis results, generates intuitive charts such as temperature curves and temperature cloud maps, and helps construction personnel fully understand the distribution and change trend of the temperature field inside the concrete. S4. Generation and execution of cooling control instructions: When the data monitoring platform determines that cooling control is required, it automatically generates cooling control instructions based on the current temperature data and the preset cooling control strategy; the instructions include parameters such as the speed adjustment value of the cooling water pump, the start and stop status of the cooling tower, and the flow rate and temperature setting value of the cooling water; after receiving the control instructions, the intelligent controller of the circulating water cooling control system drives the cooling water pump and the cooling tower to work according to the instructions, accurately controls the circulation parameters of the cooling water in the cooling water network, thereby realizing the regulation of the internal temperature of the concrete; during the cooling control process, the data monitoring platform continuously monitors the changes in temperature data, dynamically adjusts the cooling control instructions according to the actual effect, and ensures that the internal temperature of the concrete is always controlled within a reasonable range; S5. Data recording and report generation: During the entire large-volume concrete construction process, the data monitoring platform records and stores all temperature data, early warning information, cooling control instructions, system operation status and other information in detail; after the construction is completed, the platform generates a detailed temperature monitoring report based on these data. The report content includes the temperature change curve inside the concrete, the time and location of the highest temperature, cooling control measures and effects, etc.

7. The intelligent temperature monitoring method for mass concrete according to claim 6 is characterized in that: The step S1 is specifically as follows: Measuring point arrangement: Based on the symmetry of the foundation structure, 1 / 4 area of ​​each layer is selected for testing; 3 surface temperature measuring points are set on each layer, marked as points A, E, and F, and 4 internal temperature measuring points, namely points B, C, D, and G; when determining the measuring points, first select a typical cross-section that can represent the temperature conditions of the entire area as the side position based on the shape of the measured component; Subsequently, we fully referred to the shape characteristics of the measured components and the monitoring experience of previous similar projects, and made appropriate optimization adjustments on the basis of complying with the requirements of the specifications, so as to more accurately reflect the actual temperature changes inside the concrete and provide reliable data support and guarantee for the quality control of large-volume concrete construction.

8. The intelligent temperature monitoring method for mass concrete according to claim 6 is characterized in that: The step S2 is specifically as follows: Data smoothing can be performed using moving average or exponential smoothing methods to reduce data fluctuations and highlight temperature change trends. After data preprocessing, key temperature feature information is extracted, such as the maximum temperature, minimum temperature, average temperature, temperature gradient, and temperature change rate inside the concrete. Through specific algorithms and data processing models, the data is deeply analyzed to calculate the temperature extremes of sensors at different locations within a certain time range, determine the temperature gradient in areas with large temperature differences, and analyze the difference in temperature data at adjacent acquisition time points to obtain the temperature change rate. Subsequently, the data acquisition terminal packages and encrypts the processed data containing key feature information according to a pre-set communication protocol that matches the data monitoring platform, such as a specific data transmission format based on the TCP / IP protocol, and stably uploads the data to the data monitoring platform through a wired network, such as Ethernet or a wireless network. During the transmission process, data verification and error correction are continuously performed to ensure the integrity of the data. The data monitoring platform can timely receive accurate and complete concrete temperature data information to facilitate subsequent data analysis, visualization, and linkage decision-making with the cooling control system, so as to effectively monitor the internal temperature of the concrete and make reasonable adjustments in a timely manner.

9. The method for intelligent temperature monitoring of mass concrete according to claim 6, characterized in that: The step S3 is specifically as follows: Moulding temperature monitoring: During the implementation, the moulding temperature is directly controlled by the construction unit and the supervision unit. The monitoring unit tests the moulding temperature for verification. The verification range is all measuring points. The initial reading is taken before pouring, and real-time monitoring is carried out during pouring, which lasts until after pouring. Maximum temperature rise monitoring: When approaching the temperature peak, the system automatically performs a sampling frequency of 1 time / h, collects the internal highest temperature measurement point and automatically draws the temperature rise curve. When the temperature approaches the threshold of 10°C, the temperature rise curvature analysis is performed once every hour, and the exponential function is used to fit the maximum temperature rise value according to the slope change. If the fitting value exceeds the maximum temperature rise standard value, an early warning is issued, and the water supply is increased in time or the inlet water temperature is adjusted to control it; Monitoring of the temperature difference between inside and outside: According to the temperature control standard, check the historical data every 4 hours, take the temperature difference between the center measuring point and the surface measuring point as the temperature difference between inside and outside, analyze the current value and change trend of the temperature difference between inside and outside, and issue an early warning if it exceeds 20℃ and is likely to continue to rise, and promptly suggest the construction unit to implement packaging measures; Interlayer temperature difference monitoring: Before and after the upper layer of concrete is put into the mold, the top surface temperature of the lower layer of concrete and the bottom surface temperature of the upper layer of concrete are monitored, the temperature difference of the measuring points is calculated, and the interlayer temperature difference standard is used as the control value to verify the mold entry temperature of the upper layer of concrete and the interlayer temperature difference; Water temperature rise monitoring: Check the temperature difference between the cooling water inlet and outlet every 4 hours. When the temperature difference exceeds 6°C and is likely to continue to rise, issue an early warning and appropriately increase the inlet temperature or increase the inlet flow rate. Monitoring of the temperature difference between the surface and the environment: Check the temperature difference between the surface and the environment every 4 hours. When the temperature difference exceeds 12°C, a cold shock warning will be issued, and the construction unit is advised to insulate the surface; Cooling rate monitoring: The cooling rate is controlled within the range of 2℃ / day. By monitoring the temperature of the center point, the temperature reduction is calculated every 4 hours and controlled at 0.6℃ / 4h. When the cooling rate exceeds the limit, the water inlet temperature is appropriately increased or the water inlet flow is reduced.

10. The intelligent temperature monitoring method for mass concrete according to claim 6, characterized in that: The step S3 further comprises: Maximum temperature calculation: Assume that the temperature data sequence collected within a period of time is T1, T2, T3...T n , then the maximum temperature is calculated using the formula: T max =max(T1, T2, T3...T n ); Temperature gradient calculation: Take two adjacent points as an example, assuming the distance is Δ x The temperatures of two adjacent measuring points are T a and T b , the temperature gradient is calculated using the formula: Temperature change rate calculation: Based on adjacent time intervals, let the time interval be Δ t , the temperature at time t1 is T t1 , the temperature at time t2 is T t2 , then the temperature change rate is calculated using the formula:

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