A hydration heat temperature control system for large-volume bridge slab concrete

Abstract

The present invention relates to the field of bridge construction technology, and in particular to a hydration heat temperature control system for large-volume bridge pier concrete, comprising: a plurality of return pipes, which are laid inside the pier at predetermined positions to achieve targeted temperature control of concrete in different areas; a plurality of temperature detection modules corresponding to the return pipes, each module containing a plurality of temperature sensors; each return pipe is respectively connected to a pressure pump, a temperature regulating device and a temperature detection device, which are respectively responsible for regulating the liquid flow rate, temperature and detecting the liquid temperature to ensure that the temperature control process is accurate and controllable. The data analysis module serves as the core hub and is connected to each part. Based on the data fed back by the temperature sensor, it timely judges and adjusts the working mode of the return pipe. The present invention can respond to the complex temperature changes inside the concrete in real time, effectively prevent quality risks such as concrete cracks caused by temperature problems, and significantly improve the construction quality and durability of the bridge pier.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge construction, and in particular to a hydration heat temperature control system for large-volume bridge pedestal concrete. Background Art

[0002] The hydration heat temperature control system for large-volume bridge cap concrete is a device specifically designed to monitor and control temperature changes caused by hydration heat during the pouring and curing process of large-volume cap concrete. Its purpose is to prevent concrete cracks caused by temperature stress, thereby ensuring the construction quality and structural safety of the bridge cap.

[0003] Chinese patent application publication number: CN114091144A discloses a concrete hydration heat temperature monitoring method and system. The method includes collecting concrete structure temperature field factor information of the pier area of ​​the bridge to be tested, constructing a sample set based on the concrete structure temperature field factor information; constructing a support vector machine regression prediction model based on the sample set; predicting the concrete temperature value of the pier area based on the support vector machine regression prediction model; and adjusting the water flow rate of the pipeline according to the pipeline layout and concrete temperature value in the pier area.

[0004] The current concrete hydration heat temperature monitoring process lacks the ability to detect and control the temperature of concrete in different areas, which makes the concrete prone to cracking. Summary of the Invention

[0005] To this end, the present invention provides a large-volume bridge pier concrete hydration heat temperature control system to overcome the problem that the current concrete hydration heat temperature monitoring process in the prior art has insufficient regional detection and temperature control capabilities for concrete, which leads to easy cracking of concrete.

[0006] To achieve the above-mentioned purpose, the present invention provides a hydration heat temperature control system for large-volume bridge cap concrete, comprising:

[0007] A plurality of return pipes, each of which is laid inside the platform according to a predetermined position;

[0008] A plurality of temperature detection modules, each corresponding to each of the return pipes, for detecting the concrete temperature of the temperature adjustment area corresponding to the different return pipes, and for any temperature detection module, comprising a plurality of temperature sensors;

[0009] Any of the return pipes is connected to a pressure pump capable of adjusting the flow rate of the liquid in the return pipe;

[0010] Any of the return pipes is connected to a temperature regulating device capable of regulating the temperature of the liquid in the return pipe;

[0011] Any of the return pipes is connected to a temperature detection device capable of detecting the temperature of the liquid in the return pipe;

[0012] A data analysis module is connected to each of the temperature detection modules, each of the pressure pumps, each of the temperature adjustment devices, and each of the temperature detection devices; each of the temperature sensors detects the concrete temperature at its corresponding position and transmits the detection result to the data analysis module, and the data analysis module determines whether the working mode of each of the return pipes needs to be adjusted based on the detected temperature value.

[0013] Furthermore, each of the return pipes, each of the temperature detection modules, and each of the temperature sensors are labeled, and the temperature information detected by each of the temperature sensors is obtained respectively. The data analysis module integrates the detected data information and calculates the temperature variance value between the temperature information detected by each of the temperature sensors, and determines the overall temperature data situation through the variance value.

[0014] Furthermore, the temperature variance evaluation value preset in the data analysis module is

[0015] If the temperature variance value is less than or equal to the preset temperature variance evaluation value, it is determined that the temperature data difference detected by each temperature sensor is within the standard range, and the working mode of each return pipe is not adjusted.

[0016] If the temperature variance value is greater than a preset temperature variance evaluation value, it is determined that the operating mode of each of the return pipes needs to be adjusted.

[0017] Furthermore, when the data analysis module determines that the working mode of each of the return pipes needs to be adjusted, it analyzes the temperature data detected in the temperature detection module corresponding to each of the return pipes to determine the return pipe whose working mode needs to be adjusted and the adjustment method.

[0018] Furthermore, the data analysis module calculates the average value of the data from all temperature sensors and analyzes the data detected by each temperature sensor in any temperature detection module. If the temperature data detected in a single temperature detection module are all greater than or equal to, or less than or equal to the average value of the data from all temperature sensors, then the working mode of the return pipe corresponding to the corresponding temperature detection module is determined based on the relationship between the temperature average value in the corresponding temperature detection module and the temperature average value of all temperature sensors.

[0019] Further, calculating the absolute value of the difference between the average temperature value in the corresponding temperature detection module and the average temperature value of all temperature sensors;

[0020] If the absolute value of the difference is less than or equal to the preset temperature difference value of the single temperature detection module, the data detected by each temperature sensor in the temperature detection module is analyzed to determine whether the liquid flow rate or liquid temperature in the corresponding return pipe needs to be adjusted;

[0021] If the absolute value of the difference is greater than the preset temperature difference value of a single temperature detection module, it is determined that the liquid temperature in the return pipe corresponding to the corresponding temperature detection module needs to be adjusted.

[0022] Furthermore, when adjusting the liquid temperature of the return pipe, if the temperature is less than or equal to the average temperature value, the liquid temperature of the return pipe is adjusted to 1.1 times the average temperature value; if the temperature is greater than or equal to the average temperature value, the liquid temperature of the return pipe is adjusted to 0.9 times the average temperature value.

[0023] Furthermore, the data analysis module calculates the average value of the data from all temperature sensors and analyzes the data detected by each temperature sensor in any temperature detection module. If the temperature data detected in a single temperature detection module is both greater than or equal to and less than or equal to the average value of the data from all temperature sensors, then the data detected by each temperature sensor in the temperature detection module is analyzed to determine whether the liquid flow rate or liquid temperature in the corresponding return pipe needs to be adjusted.

[0024] Furthermore, the data analysis module calculates the variance of the temperature of a single temperature detection module.

[0025] If the calculated variance of the temperature of the single temperature detection module is less than or equal to the preset single temperature variance value, it is determined that there is no need to adjust the working mode of the corresponding return pipe;

[0026] If the calculated variance of the temperature of the single temperature detection module is greater than the preset single temperature variance value, the liquid temperature of the return pipe is adjusted to the average temperature value, and the liquid flow rate in the return pipe is accelerated.

[0027] Furthermore, the ratio of the liquid flow rate in the return pipe to be accelerated is positively correlated with the calculated deviation of the temperature of the single temperature detection module.

[0028] Compared with the prior art, the beneficial effect of the present invention is that the present invention constructs a comprehensive and sophisticated temperature control system. By reasonably laying the return pipe inside the pier, targeted temperature control of concrete in different areas can be achieved. The temperature detection module corresponds to the return pipe one-to-one, and cooperates with multiple temperature sensors to greatly improve the accuracy and comprehensiveness of temperature monitoring. The pressure pump, temperature regulating device and temperature detection device are respectively responsible for controlling and monitoring the flow rate and temperature of the return liquid to ensure the accuracy and operability of the entire temperature control process. The data analysis module serves as the core hub, connecting various parts. According to the data feedback from the temperature sensor, it can promptly determine whether the return pipe working mode needs to be adjusted, providing a strong guarantee for the effective control of concrete hydration heat. This all-round design can respond to the complex temperature changes inside the concrete in real time, effectively prevent quality risks such as concrete cracks caused by temperature problems, and improve the construction quality and durability of the bridge pier.

[0029] Furthermore, the system components are numbered to facilitate data matching and management, making the operation of the entire system clear at a glance. The data analysis module evaluates the overall temperature data by calculating the temperature variance value, which is a scientific and effective method. The variance can reflect the degree of dispersion of the data. By analyzing the temperature variance, the uniformity of the temperature distribution inside the concrete can be clearly understood. If the variance value is small, it means that the temperature distribution is relatively uniform; if the variance value is large, it indicates that the temperature difference is large and there may be abnormal temperature areas. This method based on data statistical analysis is more objective and accurate than relying solely on experience judgment. It can provide a reliable basis for whether temperature control measures need to be adjusted later. It helps to timely discover potential temperature risks and take targeted measures to ensure the stable progress of the concrete hydration heat process, thereby improving the quality stability of the bridge pier.

[0030] Furthermore, the preset temperature variance evaluation value provides the system with clear decision boundaries. When the temperature variance value is within the standard range, the system maintains the current operating mode, avoiding unnecessary adjustment operations, reducing equipment loss and energy consumption. When the variance value exceeds the preset range, it promptly determines that the return pipe operating mode needs to be adjusted, reflecting the flexibility and intelligence of the system. This method of making decisions based on specific data and preset standards enables the temperature control system to dynamically adjust according to actual conditions and effectively respond to the complex and changing temperature conditions during the concrete hydration heat process. It ensures a rapid response in the event of temperature anomalies and takes appropriate measures to prevent quality problems such as cracks in the concrete caused by uneven temperature, thereby ensuring the construction quality of large-volume bridge abutments, reducing subsequent maintenance costs, and improving the overall efficiency of the project.

[0031] Furthermore, when adjustment is required, the specific return pipe and its adjustment method can be accurately located. By analyzing the temperature detection module data corresponding to each return pipe, the return pipe corresponding to the temperature abnormality area can be accurately found, avoiding blind adjustment. Such targeted adjustment not only improves the adjustment efficiency, but also minimizes the impact on other normal areas. At the same time, determining the appropriate adjustment method according to different temperature data conditions can achieve precise control of temperature, ensure uniform temperature in all areas of concrete, effectively reduce the risk of concrete structure damage caused by temperature stress, ensure the structural integrity and stability of the bridge pier, extend the service life of the bridge, and lay a solid foundation for the long-term safe operation of the bridge project.

[0032] Furthermore, calculating the average value of all temperature sensor data provides a benchmark for determining temperature conditions in each area. When temperature data within a single temperature detection module is consistent (either greater than or equal to the average or less than or equal to the average), the return pipe operating mode is determined based on the relationship between the module's average temperature and the overall average, demonstrating strong rationality. This approach quickly determines the degree of temperature discrepancy between a particular area and the overall average, allowing for targeted adjustments to the return pipe operating mode. For example, if the temperature in a particular area is consistently above the average, the return pipe liquid temperature may need to be lowered or the flow rate increased to dissipate heat. Conversely, if the temperature is consistently below the average, the liquid temperature can be appropriately increased. This precise adjustment method helps balance the internal temperature of the concrete, reducing temperature gradients and preventing inconsistent concrete contraction or expansion caused by temperature unevenness, thereby ensuring the quality of the bridge abutment and improving construction reliability and safety.

[0033] Furthermore, the complexity of temperature data is fully considered. When there are inconsistencies in the temperature data within a single temperature detection module, the adjustment method is determined by further analyzing the data from each temperature sensor, which reflects the flexibility and accuracy of the system. In this case, adjustments cannot be made simply based on the overall temperature average value. Instead, in-depth analysis of the specific data within the module can more accurately determine the unevenness of the temperature distribution in the area, thereby adjusting the liquid flow rate or temperature in the return pipe in a targeted manner. For example, if the temperature is high in some parts of an area and low in other parts, it may be necessary to increase the liquid flow rate to promote uniform heat distribution; or, based on the specific conditions of the high and low temperature areas, the liquid temperature in different parts can be adjusted differently. This detailed adjustment strategy helps to solve the complex temperature distribution problem inside the concrete, ensure uniform temperature, improve the construction quality of the bridge pier, and provide strong support for the long-term and stable operation of the bridge.

[0034] Furthermore, setting a preset value for the temperature difference of a single temperature detection module further refines the adjustment strategy. When the difference is small, the liquid flow rate or temperature can be flexibly adjusted by analyzing the temperature sensor data. This refined adjustment method can more accurately fine-tune the temperature and avoid unnecessary interference to the temperature field inside the concrete due to over-adjustment. When the difference is large, directly judging and adjusting the liquid temperature can quickly and effectively intervene in the temperature abnormality area and quickly narrow the temperature gap. This situation-based processing method fully considers the different degrees of temperature differences, allowing the temperature control system to cope with small temperature fluctuations and take decisive measures when the temperature deviation is large, ensuring that the internal temperature of the concrete is always within a reasonable range, providing multi-level protection for the quality of the large-volume bridge foundation concrete, and improving the construction quality and stability of the project.

[0035] Furthermore, the method of determining the specific adjustment multiple based on the relationship between temperature and average value is highly practical and scientific. When the temperature in a certain area is lower than the average value, raising the temperature of the return liquid to 1.1 times the average temperature can specifically supplement heat to the area, speed up the heating rate, and narrow the temperature gap with other areas. When the temperature in a certain area is higher than the average value, lowering the liquid temperature to 0.9 times the average temperature can effectively take away excess heat and achieve rapid cooling. This quantitative adjustment method makes the temperature adjustment process more precise and controllable, avoiding over- or under-adjustment. By accurately adjusting the temperature of each area, the internal temperature field of the concrete can be effectively balanced, reducing stress concentration caused by temperature differences, improving the overall performance of the concrete, ensuring the quality and structural safety of the bridge pier, and reducing the risk of quality problems in the later stages of the project.

[0036] Furthermore, by calculating the variance of the temperature of a single temperature detection module to determine whether to adjust, the system is provided with a more detailed decision-making basis. When the variance is small, it means that the temperature distribution in the area is relatively uniform and no adjustment is required, thus avoiding unnecessary operations, saving energy and reducing equipment losses. When the variance is large, it indicates that the temperature distribution in the area is uneven. Adjusting the temperature of the return pipe liquid to the average temperature value and increasing the flow rate can effectively promote uniform heat distribution and improve the uneven temperature condition. This adjustment method based on variance analysis can accurately identify abnormal temperature areas and take effective measures to correct them. It helps to maintain a stable temperature field inside the concrete, prevent quality problems such as cracks caused by uneven temperature, improve the construction quality and reliability of the bridge pier, and ensure the smooth progress and long-term performance of the bridge project.

[0037] Furthermore, the liquid flow rate acceleration ratio is set to be positively correlated with the variance excess value, making the system adjustment more scientific and reasonable. The larger the variance excess value, the more serious the temperature unevenness in the area. At this time, accelerating the liquid flow rate to a greater extent can more effectively promote heat transfer and exchange, and quickly improve the uneven temperature distribution. This method of dynamically adjusting the flow rate according to the degree of temperature unevenness achieves precise control of the temperature and improves the response speed and regulation effect of the temperature control system. It can quickly take effective measures when the temperature anomaly is more serious to ensure that the temperature inside the concrete returns to uniformity as soon as possible, thereby ensuring the quality of the large-volume bridge foundation concrete, reducing engineering risks caused by temperature problems, and improving the overall quality and safety of bridge projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 Schematic diagram of the structure of the hydration heat temperature control system for large-volume bridge cap concrete in the embodiment;

[0039] Figure 2 This is the overall working flow diagram of the hydration heat temperature control system for large-volume bridge cap concrete in the embodiment;

[0040] Figure 3 This is a flow chart of determining the working mode of the return pipe corresponding to the temperature detection module according to the relationship between the average temperature in the corresponding temperature detection module and the average temperature of all temperature sensors in the embodiment. DETAILED DESCRIPTION

[0041] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0042] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0043] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0044] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0045] See also Figure 1-Figure 3 As shown, Figure 1 Schematic diagram of the structure of the hydration heat temperature control system for large-volume bridge cap concrete in the embodiment; Figure 2 This is the overall working flow diagram of the hydration heat temperature control system for large-volume bridge cap concrete in the embodiment; Figure 3 This is a flow chart of determining the working mode of the return pipe corresponding to the temperature detection module according to the relationship between the average temperature in the corresponding temperature detection module and the average temperature of all temperature sensors in the embodiment.

[0046] The present invention provides a hydration heat temperature control system for large-volume bridge cap concrete, comprising:

[0047] A plurality of return pipes 1, each of the return pipes 1 being laid inside the support platform according to a predetermined position;

[0048] A plurality of temperature detection modules, each corresponding to each of the return pipes 1, for detecting the concrete temperature of the temperature adjustment area corresponding to the different return pipes 1, and for any temperature detection module, comprising a plurality of temperature sensors 2;

[0049] Any of the reflux pipes 1 is connected to a pressure pump 3 capable of adjusting the flow rate of the liquid in the reflux pipe 1;

[0050] For any of the return pipes 1, it is connected to a temperature regulating device 4 capable of regulating the temperature of the liquid in the return pipe 1;

[0051] For any of the return pipes 1, a temperature detection device 5 is connected thereto, which is capable of detecting the temperature of the liquid in the return pipe 1;

[0052] The data analysis module is connected to each of the temperature detection modules, each of the pressure pumps 3 , each of the temperature adjustment devices 4 , and each of the temperature detection devices 5 , respectively.

[0053] Each of the temperature sensors detects the concrete temperature at its corresponding position and transmits the detection result to the data analysis module. The data analysis module determines whether the temperature distribution inside the concrete is reasonable based on the detected temperature value.

[0054] The present invention constructs a comprehensive and sophisticated temperature control system. By reasonably laying the return pipe inside the pier, targeted temperature control of concrete in different areas can be achieved. The temperature detection module corresponds to the return pipe one-to-one, and cooperates with multiple temperature sensors to greatly improve the accuracy and comprehensiveness of temperature monitoring. The pressure pump, temperature regulating device and temperature detection device are respectively responsible for controlling and monitoring the flow rate and temperature of the return liquid to ensure the accuracy and operability of the entire temperature control process. The data analysis module serves as the core hub, connecting various parts. According to the data feedback from the temperature sensor, it can promptly determine whether the return pipe working mode needs to be adjusted, providing a strong guarantee for the effective control of concrete hydration heat. This all-round design can respond to complex temperature changes inside the concrete in real time, effectively prevent quality risks such as concrete cracks caused by temperature problems, and improve the construction quality and durability of the bridge pier.

[0055] Specifically, in this embodiment, the number of return pipes is set to three, and for any temperature detection module, three temperature sensors are provided therein;

[0056] Each return pipe is numbered as the first return pipe, the second return pipe, and the third return pipe; the temperature detection module corresponding to the first return pipe is the first temperature detection module, the temperature detection module corresponding to the second return pipe is the second temperature detection module, and the temperature detection module corresponding to the third return pipe is the third temperature detection module.

[0057] The first temperature detection module includes a first temperature detection module No. 1 temperature sensor A11, a first temperature detection module No. 2 temperature sensor A12, and a first temperature detection module No. 3 temperature sensor A13;

[0058] The second temperature detection module includes a first temperature sensor A21 of the second temperature detection module, a second temperature detection module second temperature sensor A22, and a third temperature detection module A23.

[0059] The third temperature detection module includes a third temperature detection module No. 1 temperature sensor A31, a third temperature detection module No. 2 temperature sensor A32, and a third temperature detection module No. 3 temperature sensor A33.

[0060] Among them, for the temperature sensor Aij of the i-th temperature detection module, the temperature value detected is Bij;

[0061] i=1,2,3;j=1,2,3;

[0062] Labeling the various components of the system facilitates data matching and management, making the operation of the entire system clear at a glance. The data analysis module evaluates the overall temperature data by calculating the temperature variance value, which is a scientific and effective method. The variance can reflect the degree of dispersion of the data. By analyzing the temperature variance, we can clearly understand the uniformity of the temperature distribution inside the concrete. If the variance value is small, it means that the temperature distribution is relatively uniform; if the variance value is large, it indicates that the temperature difference is large and there may be areas of abnormal temperature. This method based on data statistical analysis is more objective and accurate than relying solely on experience. It can provide a reliable basis for whether temperature control measures need to be adjusted later. It helps to promptly identify potential temperature risks and take targeted measures to ensure the stable progress of the concrete hydration heat process, thereby improving the quality stability of the bridge pier.

[0063] The data analysis module integrates and analyzes the detected temperature values, including calculating the average temperature value Bp of all temperature sensors, calculating the temperature variance value Bf of all temperature sensors, and analyzing the temperature variance value Bf.

[0064] If the temperature variance value Bf is less than or equal to the preset temperature variance evaluation value, it is determined that the temperature data difference detected by each temperature sensor is within the standard range, and the working mode of each return pipe is not adjusted.

[0065] If the temperature variance value Bf is greater than a preset temperature variance evaluation value, it is determined that the operating mode of each of the return pipes needs to be adjusted.

[0066] The preset temperature variance evaluation value provides the system with clear decision-making boundaries. When the temperature variance value is within the standard range, the system maintains the current operating mode, avoiding unnecessary adjustments and reducing equipment loss and energy consumption. When the variance value exceeds the preset range, it promptly determines the need to adjust the return pipe operating mode, demonstrating the system's flexibility and intelligence. This method of making decisions based on specific data and preset standards enables the temperature control system to dynamically adjust according to actual conditions, effectively responding to the complex and changing temperature conditions during the concrete hydration heat process. It ensures a rapid response to temperature anomalies and the implementation of appropriate measures to prevent quality problems such as cracks in the concrete caused by uneven temperatures, thereby ensuring the construction quality of the large-volume bridge abutments, reducing subsequent maintenance costs, and improving the overall efficiency of the project.

[0067] When it is determined that the working mode of each of the return pipes needs to be adjusted, the temperature data detected by each temperature sensor is compared with the temperature average value, and the absolute value of the temperature difference is calculated. For any temperature value Bij, the corresponding absolute value of the difference is Cij.

[0068] When adjustment is needed, the specific return pipe and its adjustment method can be accurately located. By analyzing the temperature detection module data corresponding to each return pipe, the return pipe corresponding to the temperature abnormality area can be accurately found, avoiding blind adjustment. Such targeted adjustment not only improves the adjustment efficiency, but also minimizes the impact on other normal areas. At the same time, determining the appropriate adjustment method according to different temperature data conditions can achieve precise control of temperature, ensure uniform temperature in all areas of concrete, effectively reduce the risk of concrete structure damage caused by temperature stress, ensure the structural integrity and stability of the bridge pier, extend the service life of the bridge, and lay a solid foundation for the long-term safe operation of the bridge project.

[0069] For the i-th temperature detection module, the data detected by each temperature sensor therein is obtained. If the detected data are all greater than or equal to, or all less than or equal to the temperature average value Bp, then the working mode of the return pipe corresponding to the i-th temperature detection module is determined based on the relationship between the temperature average value Bpi in the i-th temperature detection module and the temperature average value Bp of all temperature sensors.

[0070] Calculating the average value of all temperature sensor data provides a benchmark for determining temperature conditions in each area. When temperature data within a single temperature detection module is consistent (either greater than or equal to the average or less than or equal to the average), determining the return pipe operating mode based on the relationship between the module's average temperature and the overall average is highly rational. This approach quickly determines the degree of temperature discrepancy between a particular area and the overall system, allowing for targeted adjustments to the return pipe operating mode. For example, if the temperature in a particular area is consistently above the average, the return pipe liquid temperature may need to be lowered or the flow rate increased to dissipate heat. Conversely, if the temperature is consistently below the average, the liquid temperature can be appropriately increased. This precise adjustment method helps balance the internal temperature of the concrete, reduce temperature gradients, and prevent inconsistent concrete contraction or expansion caused by temperature unevenness, thereby ensuring the quality of the bridge abutment and improving construction reliability and safety.

[0071] For the i-th temperature detection module, the data detected by each temperature sensor therein is obtained. If the detected data are both greater than the temperature average value Bp and less than the temperature average value Bp, the working mode of the return pipe corresponding to the i-th temperature detection module is determined by the temperature variance value Bfi in the i-th temperature detection module.

[0072] The complexity of temperature data is fully considered. When there is inconsistency in the temperature data within a single temperature detection module, the adjustment method is determined by further analyzing the data of each temperature sensor, which reflects the flexibility and accuracy of the system. In this case, adjustments cannot be made simply based on the overall temperature average value. Instead, in-depth analysis of the specific data within the module can more accurately determine the unevenness of the temperature distribution in the area, thereby adjusting the liquid flow rate or temperature in the return pipe in a targeted manner. For example, if the temperature is high in some parts of an area and low in other parts, it may be necessary to increase the liquid flow rate to promote uniform heat distribution; or, based on the specific conditions of the high and low temperature areas, the liquid temperature in different parts can be adjusted differently. This meticulous adjustment strategy helps to solve the complex temperature distribution problem inside the concrete, ensure uniform temperature, improve the construction quality of the bridge pier, and provide strong support for the long-term stable operation of the bridge.

[0073] For those that are all greater than or equal to, or all less than or equal to, the temperature average value Bp, the data analysis module calculates the absolute value Bdi of the difference between the temperature average value Bpi in the i-th temperature detection module and the temperature average value Bp of all temperature sensors.

[0074] If the absolute value of the difference Bdi is less than or equal to the preset temperature difference value of the single temperature detection module, the data detected by each temperature sensor in the i-th temperature detection module is analyzed to determine whether the liquid flow rate in the corresponding return pipe needs to be adjusted.

[0075] If the absolute value of the difference Bdi is greater than the preset temperature difference value of a single temperature detection module, it is determined that the temperature of the return pipe corresponding to the i-th temperature detection module needs to be adjusted.

[0076] Setting a preset value for the temperature difference of a single temperature detection module further refines the adjustment strategy. When the difference is small, the temperature sensor data is analyzed to flexibly decide whether to adjust the liquid flow rate or temperature. This refined adjustment method can more accurately fine-tune the temperature and avoid unnecessary interference to the temperature field inside the concrete caused by excessive adjustment. When the difference is large, directly judging and adjusting the liquid temperature can quickly and effectively intervene in the temperature abnormality area and quickly narrow the temperature gap. This situation-based handling method fully considers the different degrees of temperature differences, allowing the temperature control system to cope with small temperature fluctuations and take decisive measures when the temperature deviation is large, ensuring that the internal temperature of the concrete is always within a reasonable range, providing multi-level protection for the quality of the large-volume bridge foundation concrete, and improving the construction quality and stability of the project.

[0077] When adjusting the liquid temperature of the return pipe, if the temperature is less than or equal to the average temperature value, the liquid temperature of the return pipe is adjusted to 1.1 times the average temperature value; if the temperature is greater than or equal to the average temperature value, the liquid temperature of the return pipe is adjusted to 0.9 times the average temperature value.

[0078] The method of determining the specific adjustment multiple based on the relationship between temperature and average value is highly practical and scientific. When the temperature in a certain area is lower than the average value, raising the temperature of the return liquid to 1.1 times the average temperature can specifically supplement heat to the area, speed up the heating rate, and narrow the temperature gap with other areas. When the temperature in a certain area is higher than the average value, lowering the liquid temperature to 0.9 times the average temperature can effectively take away excess heat and achieve rapid cooling. This quantitative adjustment method makes the temperature adjustment process more precise and controllable, avoiding over- or under-adjustment. By precisely adjusting the temperature of each area, the internal temperature field of the concrete can be effectively balanced, reducing stress concentration caused by temperature differences, improving the overall performance of the concrete, ensuring the quality and structural safety of the bridge pier, and reducing the risk of quality problems in the later stages of the project.

[0079] The data analysis module calculates the variance of the temperature of a single temperature detection module.

[0080] If the calculated variance of the temperature of the single temperature detection module is less than or equal to the preset single temperature variance value, it is determined that there is no need to adjust the working mode of the corresponding return pipe;

[0081] If the calculated variance of the temperature of the single temperature detection module is greater than the preset single temperature variance value, the liquid temperature of the return pipe is adjusted to the average temperature value, and the liquid flow rate in the return pipe is accelerated. The acceleration ratio is positively correlated with the deviation value of the calculated variance of the temperature of the single temperature detection module.

[0082] By calculating the variance of the temperature of a single temperature detection module to determine whether to adjust, the system provides a more detailed decision-making basis. When the variance is small, it means that the temperature distribution in the area is relatively uniform and no adjustment is required, avoiding unnecessary operations, saving energy and reducing equipment losses. When the variance is large, it indicates that the temperature distribution in the area is uneven. Adjusting the temperature of the return pipe liquid to the average temperature value and increasing the flow rate can effectively promote uniform heat distribution and improve the uneven temperature condition. This adjustment method based on variance analysis can accurately identify abnormal temperature areas and take effective measures to correct them. It helps to maintain a stable temperature field inside the concrete, prevent quality problems such as cracks caused by uneven temperature, improve the construction quality and reliability of the bridge pier, and ensure the smooth progress and long-term performance of the bridge project.

[0083] Setting the liquid flow rate acceleration ratio to be positively correlated with the variance excess value makes the system adjustment more scientific and reasonable. The larger the variance excess value, the more serious the temperature unevenness in the area. At this time, accelerating the liquid flow rate to a greater extent can more effectively promote heat transfer and exchange, and quickly improve the uneven temperature distribution. This method of dynamically adjusting the flow rate according to the degree of temperature unevenness achieves precise temperature control and improves the response speed and regulation effect of the temperature control system. It can quickly take effective measures when the temperature anomaly is more serious to ensure that the temperature inside the concrete returns to uniformity as soon as possible, thereby protecting the quality of the large-volume bridge foundation concrete, reducing engineering risks caused by temperature problems, and improving the overall quality and safety of bridge projects.

[0084] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0085] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A hydration heat temperature control system for large-volume bridge cap concrete, characterized in that: include, A plurality of return pipes, each of which is laid inside the platform according to a predetermined position; A plurality of temperature detection modules, each corresponding to each of the return pipes, for detecting the concrete temperature of the temperature adjustment area corresponding to the different return pipes, and for any temperature detection module, comprising a plurality of temperature sensors; Any of the return pipes is connected to a pressure pump capable of adjusting the flow rate of the liquid in the return pipe; Any of the return pipes is connected to a temperature regulating device capable of regulating the temperature of the liquid in the return pipe; Any of the return pipes is connected to a temperature detection device capable of detecting the temperature of the liquid in the return pipe; a data analysis module, which is connected to each of the temperature detection modules, each of the pressure pumps, each of the temperature adjustment devices, and each of the temperature detection devices; each of the temperature sensors detects the concrete temperature at its corresponding position and transmits the detection result to the data analysis module, and the data analysis module determines whether the working mode of each of the return pipes needs to be adjusted based on the detected temperature value; Labeling each of the return pipes, each of the temperature detection modules, and each of the temperature sensors, and respectively obtaining temperature information detected by each of the temperature sensors; integrating the detected data information by the data analysis module, and calculating the temperature variance value between the temperature information detected by each of the temperature sensors; and determining the overall temperature data situation through the variance value; The temperature variance evaluation value preset in the data analysis module, If the temperature variance value is less than or equal to the preset temperature variance evaluation value, it is determined that the temperature data difference detected by each temperature sensor is within the standard range, and the working mode of each return pipe is not adjusted; If the temperature variance value is greater than a preset temperature variance evaluation value, it is determined that the operating mode of each of the return pipes needs to be adjusted; When the data analysis module determines that the working mode of each return pipe needs to be adjusted, the data analysis module analyzes the temperature data detected in the temperature detection module corresponding to each return pipe to determine the return pipe that needs to adjust the working mode and the adjustment method; The data analysis module calculates the average value of the data from all temperature sensors and analyzes the data detected by each temperature sensor in any temperature detection module. If the temperature data detected in a single temperature detection module is both greater than or equal to and less than or equal to the average value of the data from all temperature sensors, the data detected by each temperature sensor in the temperature detection module is analyzed to determine whether the liquid flow rate or liquid temperature in the corresponding return pipe needs to be adjusted. The data analysis module calculates the variance of the temperature of a single temperature detection module. If the calculated variance of the temperature of the single temperature detection module is less than or equal to the preset single temperature variance value, it is determined that there is no need to adjust the working mode of the corresponding return pipe; If the calculated variance of the temperature of the single temperature detection module is greater than the preset single temperature variance value, the liquid temperature of the return pipe is adjusted to the average temperature value, and the liquid flow rate in the return pipe is accelerated.

2. The hydration heat temperature control system for large-volume bridge cap concrete according to claim 1 is characterized in that: The data analysis module calculates the average value of the data from all temperature sensors and analyzes the data detected by each temperature sensor in any temperature detection module. If the temperature data detected in a single temperature detection module are all greater than or equal to, or less than or equal to the average value of the data from all temperature sensors, then the working mode of the return pipe corresponding to the corresponding temperature detection module is determined based on the relationship between the temperature average value in the corresponding temperature detection module and the temperature average value of all temperature sensors.

3. The hydration heat temperature control system for large-volume bridge cap concrete according to claim 2 is characterized in that: Calculate the absolute value of the difference between the average temperature in the corresponding temperature detection module and the average temperature of all temperature sensors; If the absolute value of the difference is less than or equal to the preset temperature difference value of the single temperature detection module, the data detected by each temperature sensor in the temperature detection module is analyzed to determine whether the liquid flow rate or liquid temperature in the corresponding return pipe needs to be adjusted; If the absolute value of the difference is greater than the preset temperature difference value of a single temperature detection module, it is determined that the liquid temperature in the return pipe corresponding to the corresponding temperature detection module needs to be adjusted.

4. The hydration heat temperature control system for large-volume bridge cap concrete according to claim 3 is characterized in that: When adjusting the liquid temperature of the return pipe, if the temperature is less than or equal to the average temperature value, the liquid temperature of the return pipe is adjusted to 1.1 times the average temperature value; if the temperature is greater than or equal to the average temperature value, the liquid temperature of the return pipe is adjusted to 0.9 times the average temperature value.

5. The hydration heat temperature control system for large-volume bridge cap concrete according to claim 4 is characterized in that: The ratio of the liquid flow rate in the return pipe to be accelerated is positively correlated with the excess value of the variance of the temperature of the calculated single temperature detection module.

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