Massive concrete water cooling temperature control method, device, equipment and medium

Abstract

The application provides a mass concrete water cooling temperature control method and device, electronic equipment and storage medium, comprising: obtaining first water supply demand data, water supply setting data and water supply measured data in a current preset period, the data types including corresponding temperature, flow and flow direction; based on each data type in the first water supply demand data and the water supply measured data, determining the deviation value of the corresponding data type; judging the cooling water supply state according to the deviation value; accumulating the time length of the cooling water supply state in the normal state to obtain the total length corresponding to the cooling water supply normal period; the length ratio of the total length corresponding to the cooling water supply normal period in the current preset period is taken as the water supply guarantee rate, and the temperature control optimization measure is determined based on the water supply guarantee rate, and the water supply setting data of the next preset period is dynamically adjusted. The application can effectively improve the temperature control quality and efficiency by taking the water supply guarantee rate as the temperature control quantitative evaluation basis.

Description

Technical Field

[0001] This application relates to the field of concrete engineering technology, and in particular to a method, apparatus, electronic device, and computer-readable storage medium for water cooling of large-volume concrete. Background Technology

[0002] The construction of large-volume concrete is a crucial step in water conservancy and hydropower projects, and its temperature control directly affects the structural safety and durability. After concrete pouring, the heat of hydration causes a rapid increase in internal temperature, necessitating temperature regulation through a water cooling system to prevent cracking.

[0003] Currently, in the practical application of temperature control in large-volume concrete projects, water-cooled systems typically consist of a chilled water station, a water supply unit, and internal circuits within the silos. The chilled water station provides a low-temperature water source, which is distributed to each internal circuit via the water supply unit, where heat is removed through circulation. The regulation of the cooling water relies heavily on manual operation. Operators set the water temperature, flow rate, and reversal time based on experience, and control the cooling process by manually adjusting valves and pump parameters. Furthermore, during operation, it is necessary to periodically monitor temperature and flow data manually and adjust equipment operating parameters according to preset rules to maintain the concrete temperature within the target range. In this situation, the cooling water supply status lacks quantitative evaluation criteria, making it difficult to accurately determine whether the water supply unit truly meets the real-time needs of the served circuits. This results in insufficient matching between system operational stability and actual demand, exhibiting significant limitations in coping with complex and variable on-site conditions. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and computer-readable storage medium for temperature control of water cooling in large-volume concrete, in order to solve the technical problem that the lack of quantitative evaluation basis for cooling water supply status leads to insufficient matching between the operational stability of the water cooling system and actual needs.

[0005] In a first aspect, embodiments of this application provide a method for temperature control of water cooling in large-volume concrete, characterized in that the method includes: acquiring first water supply demand data, water supply setting data, and measured water supply data of the large-volume concrete within a current preset time period; wherein, the first water supply demand data includes a first temperature demand value, a first flow rate demand value, and a first flow direction demand value of the in-cell circuit at a corresponding moment within the current preset time period; the water supply setting data includes a temperature setting value, a flow rate setting value, and a flow direction setting value of the cooling water station; and the measured water supply data includes the measured first temperature value, the measured first flow rate value, and the measured first flow rate value of the in-cell circuit at a corresponding moment within the current preset time period. The measured values ​​and the first flow direction measured values ​​are used to determine the deviation value for each data type in the first water supply demand data and the measured water supply data. The cooling water supply status is judged based on the deviation value to determine the cooling water supply status. The duration of the time period when the cooling water supply status is in the normal state is accumulated to obtain the total duration corresponding to the normal cooling water supply period. The proportion of the total duration corresponding to the normal cooling water supply period in the current preset period is used as the water supply guarantee rate. Based on the water supply guarantee rate, temperature control optimization measures are determined. Based on the temperature control optimization measures, the water supply setting data for the next preset period is dynamically adjusted.

[0006] Secondly, embodiments of this application provide a water-cooling temperature control device for large-volume concrete. The device includes: an acquisition module, used to acquire first water supply demand data, water supply setting data, and measured water supply data of the large-volume concrete within a current preset time period; wherein, the first water supply demand data includes a first temperature demand value, a first flow rate demand value, and a first flow direction demand value of the in-situ circuit at a corresponding moment within the current preset time period; the water supply setting data includes a temperature setting value, a flow rate setting value, and a flow direction setting value of the cooling water station; and the measured water supply data includes a first temperature measured value, a first flow rate measured value, and a first flow direction measured value of the in-situ circuit at a corresponding moment within the current preset time period; and a first analysis module, used for... Based on the first water supply demand data and the actual water supply measurement data, for each data type, the deviation value of the corresponding data type is determined; the first determination module is used to judge the cooling water supply status based on the deviation value and determine the cooling water supply status; the second analysis module is used to accumulate the duration of the time period when the cooling water supply status is in the normal state to obtain the total duration corresponding to the normal cooling water supply period, and use the proportion of the total duration corresponding to the normal cooling water supply period in the current preset time period as the water supply guarantee rate; the second determination module is used to determine the temperature control optimization measures based on the water supply guarantee rate; the optimization module is used to dynamically adjust the water supply setting data for the next preset time period based on the temperature control optimization measures.

[0007] Thirdly, embodiments of this application also provide an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the method of the first aspect.

[0008] Fourthly, embodiments of this application also provide a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the method of the first aspect.

[0009] In this embodiment, by acquiring the first water supply demand data, water supply setting data, and actual water supply measurement data of the large-volume concrete within the current preset time period, accurate perception of the entire cooling water supply process is achieved. Based on the deviation value of each data type in the first water supply demand data and the actual water supply measurement data, the deviation value of the corresponding data type is determined, which can quantitatively analyze the actual deviation of temperature, flow rate, and flow direction, avoiding misjudgment caused by fluctuation of a single parameter. The cooling water supply status is judged according to the deviation value, and the duration of the cooling water supply status under normal conditions is accumulated to obtain the total duration corresponding to the normal cooling water supply period. The proportion of this total duration in the current preset time period is used as the water supply guarantee rate. Thus, the water supply guarantee rate is introduced as a quantitative evaluation index, enabling objective evaluation of the operational stability of the water cooling system. Based on the water supply guarantee rate, temperature control optimization measures are determined, thereby dynamically adjusting the water supply setting data for the next preset time period, effectively improving the temperature control quality and efficiency of the large-volume concrete.

[0010] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0011] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart of the steps of the water cooling temperature control method for large-volume concrete provided in the embodiments of this application; Figure 2 This is a schematic diagram illustrating the determination of the first water supply demand data provided in the embodiments of this application; Figure 3 Based on Figure 1 The exemplary embodiment shown herein illustrates a flowchart of another method for controlling the temperature of large-volume concrete by water cooling. Figure 4 Based on Figure 1 The exemplary embodiment shown herein illustrates a flowchart of a method for controlling the temperature of a large volume of concrete by water cooling. Figure 5 Based on Figure 1 The exemplary embodiment shown is a flowchart illustrating the steps of a method for controlling the temperature of a large-volume concrete cooling system via water. Figure 6 This is a flowchart illustrating the data closed-loop feedback optimization provided in the embodiments of this application; Figure 7 This is a structural block diagram of the water cooling temperature control device for large-volume concrete provided in the embodiments of this application. Detailed Implementation

[0012] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0013] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and are not limited in number; for example, a first object can be one or more. Furthermore, the term "and / or" in the specification and claims is used to describe the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. In the embodiments of this application, the term "multiple" refers to two or more, and other quantifiers are similar.

[0014] In the current water cooling process for large-volume concrete, water temperature switching, flow rate adjustment, and water flow reversal control are generally carried out manually based on experience. This method has problems such as uneven reversal intervals, lack of precise perception and dynamic calculation of the cooling water temperature and flow requirements of each loop, failure to consider the quantitative impact of water temperature and flow losses in the pipeline network between the water supply unit and the chilled water station, and lack of technical indicators for quantitative evaluation of cooling water supply capacity. This leads to uneven heat exchange within the silo, large internal temperature differences in the concrete, and insufficient temperature control accuracy, which in turn increases the risk of temperature stress and cracking.

[0015] In response, Figure 1 This is a flowchart illustrating the steps of a water cooling temperature control method for large-volume concrete provided in this application embodiment. Figure 1 As shown, the method may include: Step S100: Obtain the first water supply demand data, water supply setting data, and actual water supply data for the large-volume concrete within the current preset time period; wherein, the first water supply demand data includes the first temperature demand value, first flow rate demand value, and first flow direction demand value of the in-situ circuit at the corresponding time within the current preset time period; the water supply setting data includes the temperature setting value, flow rate setting value, and flow direction setting value of the chilled water station; the actual water supply data includes the first measured temperature value, first measured flow rate value, and first measured flow direction value of the in-situ circuit at the corresponding time within the current preset time period; The first water supply demand data can be a set of parameters, calculated by heat transfer, simulation analysis or other intelligent control algorithms, representing the temperature, flow rate and flow direction required by each compartment loop on a unit time scale. This set is used to characterize the expected control targets of the cooling water physical state and delivery direction of the compartment loop. The first temperature demand value is used to characterize the target temperature that needs to be provided to the compartment loop at the corresponding moment within the current preset time period. The first flow rate demand value is used to characterize the target water volume that needs to be provided to the compartment loop at the corresponding moment within the current preset time period. The first flow direction demand value is used to characterize the water circulation direction that needs to be applied to the compartment loop at the corresponding moment within the current preset time period.

[0016] In some embodiments, refer to Figure 2 As shown, the first water supply demand data can be obtained by sampling the water temperature demand curve of the in-storage loop at a unit time scale to obtain a discretized temperature demand sequence, and by simultaneously sampling the in-storage loop flow rate demand curve and the in-storage loop flow direction demand curve to form a set of triples indexed by timestamps; wherein, the unit time scale can be from the start time to the end time of the current preset time period. Therefore, the first water supply demand data can be established based on Formula 1. : Formula 1: ; In the formula, i is the circuit number within the warehouse; j is the number of the water supply package to which the circuit belongs; and k is the number of the chilled water station supplied by the water supply package. The water temperature demand curve for the internal circuit is typically a piecewise constant function, with selectable values ​​being the water temperature supplied by the water supply unit. , For example, the temperature control commonly used in traditional arch dams is 8~10℃ and 14~16℃; The in-warehouse loop flow demand curve can be defined within the range. The internal changes continuously over time. To the maximum permissible water flow rate; This is the demand curve for the internal loop flow within the warehouse. It is usually a piecewise constant function with selectable values ​​of +1 and -1, used to represent clockwise or counterclockwise flow.

[0017] Water supply setting data can be the water temperature, flow rate, and flow direction demand data for each water supply loop, determined based on hydraulic / thermodynamic calculations of the pipeline network or calibration data from the early stages of the project. Its function is to serve as the basis for setting control parameters for equipment in the water cooling system, such as water temperature switching valves, booster pumps (including power monitoring units), reversing systems, chilled water station temperature controllers, and flow setters (e.g., water temperature setting parameters for chilled water stations). Water volume setting parameters Booster pump power Water temperature switching valve opening / closing degree and the reversing position of the reversing system The temperature setpoint can be the target temperature value of the cooling water at the outlet of the chilled water station, used to characterize the water temperature level that the system expects to provide to the internal loop during this period; the flow rate setpoint can be the target flow rate value of the cooling water at the outlet of the chilled water station, used to characterize the amount of water that the system expects to provide to the internal loop during this period; the flow direction setpoint can be a predetermined flow direction indicator of the cooling water at the outlet of the chilled water station, which can be clockwise or counterclockwise, used to characterize the water circulation direction that the system expects to apply to the internal loop during this period.

[0018] In some embodiments, the water supply setting data can be a set of command parameters used to guide the chilled water station to perform control, derived step-by-step from the first water supply demand data. For example, after determining the first water supply demand data based on Formula 1, since the temperature and flow direction of the cooling water supplied to the in-cell loop by the same water supply package are consistent, it is only necessary to accumulate the flow demand of the in-cell loop to obtain the second water supply demand data, which includes the second temperature demand value, the second flow demand value, and the second flow direction demand value of the water supply package at the corresponding moment within the current preset time period. The second water supply demand data can be established based on Formula 2. : Formula 2: ; In the formula, To meet the temperature requirements of water supply package JK; For the flow requirements of water supply package JK; The flow direction requirement is for water supply package jk; other parameters are defined in the same way as the corresponding parameters in Formula 1 above.

[0019] Similarly, after determining the second water supply demand data for the water supply package based on Formula 2, the flow demand of the water supply package is accumulated to obtain the flow demand of the chilled water station. However, due to temperature and flow losses between the water supply package and the chilled water station, the temperature and flow demands need to be corrected to obtain the third water supply demand data, which includes the third temperature demand, third flow demand, and third flow direction demand values ​​of the chilled water station at the corresponding time within the current preset time period. This third water supply demand data can be established based on Formula 3. : Formula 3: ; In the formula, The temperature requirement for chilled water station k; The flow rate requirement for chilled water station k; The flow demand for chilled water station k; This refers to parameters related to water temperature loss. This is the flow loss parameter; the definitions of other parameters are the same as the corresponding parameter definitions in Formulas 1 and 2 above.

[0020] Typically, water temperature loss parameters and flow loss parameters This can be obtained through hydraulic and thermodynamic calculations using a pipeline network model. Thus, based on the third-party water supply demand data... , can correspond , as well as Acquire the water supply setting data, including water temperature setpoint, flow rate setpoint, and flow direction setpoint; among which, the water temperature setpoint can be used as the water temperature setting parameter for the chilled water station. and the degree of opening and closing of the water temperature switching valve The setpoint can be used as the water volume setting parameter for the chilled water station. and booster pump power The flow direction setting value can be used as the reversing position of the reversing system. The basis for this setting.

[0021] The measured water supply data can refer to a set of data reflecting the actual physical state and transport behavior of cooling water, obtained in real time by sensors deployed at key nodes of the chilled water station, water supply package, and internal circuits. For example, it can be measured temperature values ​​collected by temperature sensors deployed at the inlet and outlet of the water supply package, the inlet and outlet of the chilled water station, and key nodes of the internal circuits; measured flow rates collected by flow sensors deployed at branch pipes of each circuit within the internal circuit, the main pipe of the water supply package, and the main pipe of the chilled water station; and measured flow direction values ​​obtained from the valve status of the automatic reversing device of the water cooling system. The first measured temperature value can be the actual measured temperature of the cooling water at the inlet of the internal circuit, used to characterize the true water temperature received by the circuit at the corresponding moment; the first measured flow rate value can be the actual measured volumetric flow rate of the cooling water at the inlet of the internal circuit, used to characterize the true water volume received by the circuit at the corresponding moment; and the first measured flow direction value can be the actual flow direction of the cooling water at the inlet of the internal circuit, expressed as +1 or... The form 1 indicates clockwise or counterclockwise, used to characterize the actual direction of water flow received by the circuit at the corresponding moment.

[0022] It is understandable that the above-mentioned water supply measurement data can be read synchronously from the sensor data of i in-chamber loops according to the preset sampling period (e.g., every 30 seconds), and the temperature, flow rate and flow direction data of all loops at the same time can be packaged into a time slice to form the water supply measurement data sequence within the current preset time period.

[0023] Step S200: Based on each data type in the first water supply demand data and the actual water supply measurement data, determine the deviation value of the corresponding data type; Here, data types refer to three independent categories of physical quantities: temperature, flow rate, and flow direction. These are the three basic control dimensions involved in the cooling water supply process. The deviation value of the corresponding data type can be the numerical or logical deviation between the demand value and the measured value under the same control dimension. For the temperature dimension, the absolute value of the difference between the first temperature demand value and the first temperature measured value can be calculated as the temperature deviation value. For the flow rate dimension, the absolute value of the difference between the first flow rate demand value and the first flow rate measured value can be calculated as the flow rate deviation value. For the flow direction dimension, the absolute value of the difference between the first flow direction demand value and the first flow rate measured value can be calculated as the flow rate deviation value. When the first flow direction demand value and the first flow direction measured value are equal, the flow direction deviation value is 0; otherwise, it is a non-zero logical difference, thus realizing the numerical expression of logical deviation.

[0024] Understandably, the aforementioned deviation value can be used to establish a pairing relationship between the measured water supply data, which is aligned by timestamp, and the corresponding first water supply demand data at that time, based on data type, for the purpose of deviation value calculation.

[0025] Step S300: Determine the cooling water supply status based on the deviation value; The cooling water supply status refers to the comprehensive judgment result of whether the cooling water meets the set requirements in terms of temperature, flow rate, and flow direction within the current preset time period, including normal and abnormal states. Judging the cooling water supply status based on deviation values ​​involves comparing the deviation values ​​of each dimension with their respective preset thresholds and outputting the cooling water supply status based on the combination logic of the comparison results. In this embodiment, its role is to fuse multi-dimensional deviation signals into a single status identifier, supporting subsequent identification and statistics of normal time periods. For example, regarding the temperature dimension, the temperature deviation value can be compared with a preset temperature threshold (e.g., 0.5℃). If it is less than or equal to the preset temperature threshold, the temperature dimension is determined to meet the requirements. Regarding the flow rate dimension, the flow rate deviation value can be compared with a preset flow rate threshold (e.g., 5% of the set value or 1 m³ / h). If it is less than or equal to the preset flow rate threshold, the flow rate dimension is determined to meet the requirements. Regarding the flow direction dimension, the flow direction deviation value can be compared with a preset flow direction threshold (e.g., 0). If it is equal to the preset flow direction threshold, the flow direction dimension is determined to meet the requirements. When all three dimensions meet the requirements, the cooling water supply status output is in a normal state; otherwise, an abnormal state is output.

[0026] Step S400: The duration of the cooling water supply under normal conditions is accumulated to obtain the total duration corresponding to the normal cooling water supply period, and the proportion of the total duration corresponding to the normal cooling water supply period in the current preset period is used as the water supply guarantee rate. The period during which the cooling water supply is in a normal state can refer to all time segments within the current preset time period that are continuously or discretely determined to be in a normal state; the total duration of the normal cooling water supply period can refer to the sum of the durations of all normal state periods; and the water supply guarantee rate can be obtained based on the ratio of the total duration of the normal cooling water supply period to the total duration of the current preset time period. In response, the water supply guarantee rate According to the formula:

[0027] Calculated; where, For water supply guarantee rate; This represents the total duration corresponding to the normal cooling water supply period. This represents the total duration corresponding to the current preset time period; This is a condition for determining normal cooling water supply. This is the primary water supply demand data; This is the actual measured data from the first water supply. This refers to the controlled supply error, specifically the preset thresholds corresponding to the deviation values ​​in each dimension. The resulting water supply guarantee rate is derived from this. It can be expressed as a percentage, representing a quantitative indicator of the reliability of the cooling water system in meeting temperature control requirements within the current preset time period.

[0028] Step S500: Determine temperature control optimization measures based on water supply guarantee rate; The water supply guarantee rate, as a quantitative indicator of reliability, can be compared with a preset water supply threshold (e.g., 98%). If the target is met, it indicates good temperature control quality, requiring no adjustment; conversely, it indicates poor temperature control quality, necessitating correction of the water supply settings. Therefore, the temperature control optimization measures select to retain or adjust the current water supply settings based on the comparison result between the water supply guarantee rate and the preset water supply threshold. Adjustment methods include, but are not limited to, adjusting at least one of the preset temperature, preset flow rate, and preset flow direction values. In this embodiment, its role is to transform the system performance evaluation results into an executable control strategy, driving the activation of the closed-loop feedback mechanism.

[0029] Step S600: Based on temperature control optimization measures, dynamically adjust the water supply setting data for the next preset time period.

[0030] The water supply setting data for the next preset time period can refer to the new setpoints for temperature, flow, and direction generated for the next time period (e.g., the following 1 hour) after the completion of the current state judgment and optimization decision. Its technical focus is the updated set of control targets in closed-loop control. The temperature control optimization measures can refer to the parameter correction or direct reuse operations performed according to the above-mentioned adjustment or retention instructions. Its role in this embodiment is to complete the closed-loop connection from evaluation to execution, realize the dynamic iterative update of water supply setting data, and ensure that the temperature control strategy continuously adapts to the actual working conditions.

[0031] In summary, this embodiment acquires water supply demand data and measured water supply data at the in-cell circuit level, constructs a three-dimensional difference system of temperature, flow rate, and flow direction, determines the cooling water supply status, and calculates the percentage of normal periods to form a quantitative evaluation index of water supply guarantee rate. Then, based on whether this index meets the standard, it automatically triggers decisions to retain or adjust the water supply setting data at the chilled water station level, ultimately outputting the control target parameters for the next stage. This not only achieves observation and control of the entire cooling water supply process for large-volume concrete, solving problems such as strong subjectivity and delayed response in manual control, but also improves temperature control accuracy and heat exchange uniformity, reduces temperature stress and crack risk, significantly improves the system's operational stability and its match with actual needs, and effectively improves the temperature control quality and efficiency of large-volume concrete.

[0032] In some embodiments, a detailed description is provided of how to determine the cooling water supply status based on measured water supply data, thereby identifying the cooling water supply status. Please refer to [link to relevant documentation] for details. Figure 3This temperature control method is applicable in situations such as Figure 1 The S300 shown includes S310-S340, which are described in detail below: The cooling water supply status is determined based on the deviation value, including: Step S310: Compare the deviation between the first temperature requirement value and the first measured temperature value with a preset temperature threshold to obtain a first comparison result; The deviation between the first temperature requirement value and the first measured temperature value is the temperature deviation value. This temperature deviation value is used to characterize the degree of deviation between the current water supply temperature and the target water supply temperature. Its function is to serve as the first criterion for whether the cooling water supply meets the temperature requirements. If the temperature deviation value exceeds the preset temperature threshold, it indicates that there is a significant deviation in water temperature regulation, which may affect the effect of temperature gradient control inside the concrete.

[0033] Step S320: Compare the deviation between the first flow demand value and the first measured flow value with a preset flow threshold to obtain a second comparison result; The deviation between the first flow demand value and the first flow measured value is the flow deviation value. This flow deviation value is used to characterize the response capability of the current water supply flow to the set target. Its function is to serve as the second criterion for whether the cooling water supply meets the heat load carrying capacity. If the flow deviation value exceeds the preset flow threshold, it indicates that the actual water flow cannot effectively remove the heat of hydration of the concrete, or causes local overcooling, which may lead to temperature stress concentration.

[0034] Step S330: Compare the deviation between the first flow demand value and the first flow measured value with the preset flow threshold to obtain the third comparison result; The deviation between the first flow direction demand value and the first flow direction measured value is the flow direction deviation value. This flow deviation value converts the logical equivalence judgment into a numerical calculation. That is, when the first flow direction demand value and the first flow direction measured value are equal, the difference is 0, which is considered to meet the condition; otherwise, it is considered not to meet the condition. In this way, it can be used to reflect the accuracy and reliability of the reversing control. Its function is to serve as the third criterion for whether the cooling water supply meets the requirements of spatial heat exchange uniformity. If the flow direction is incorrect, different areas in the same compartment may form superimposed hot and cold zones, exacerbating the temperature field distortion.

[0035] Step S340: When the first comparison result, the second comparison result, and the third comparison result all meet the corresponding conditions, the cooling water supply status is determined to be normal.

[0036] The condition of "all three comparison results" can mean that each of the three comparison results independently meets its corresponding threshold constraint: the temperature deviation value is less than the preset temperature threshold, the flow rate deviation value is less than the preset flow rate threshold, and the flow direction deviation value is equal to the preset flow direction threshold. Conversely, if any of the first, second, and third comparison results does not meet the corresponding condition, the cooling water supply status is determined to be abnormal.

[0037] In this way, the judgment logic constitutes the joint judgment threshold of the cooling water supply status in this embodiment, which can eliminate the overall misjudgment caused by the accidental disturbance of a single parameter, and ensure that the temperature, flow rate and flow direction meet the standards simultaneously before entering the subsequent water supply guarantee rate statistics stage, thereby ensuring the engineering reliability and system stability of the temperature control closed loop control.

[0038] In some embodiments, details are provided on how to determine temperature control optimization measures based on water supply guarantee rates. Please refer to [link / reference needed]. Figure 4 This temperature control method is applicable in situations such as Figure 1 The S500 shown includes S510-S530, which are described in detail below: Based on the water supply guarantee rate, temperature control optimization measures were determined, including: Step S510: Compare the water supply guarantee rate with the preset water supply threshold; Among them, the preset water supply threshold is a benchmark value set in engineering practice based on the requirements of concrete temperature control accuracy, construction safety margin and equipment operation reliability, such as 95%, 96%, 97% or 98%.

[0039] Step S520: If the water supply guarantee rate is less than the preset water supply threshold, then the temperature control optimization measure is determined to be adjusting the current water supply setting data; Among them, the conditional feature of water supply guarantee rate being less than the preset water supply threshold means that within the current preset time period, the cumulative time during which the cooling water supply status is judged to be in a normal state is less than the preset proportion of the total duration of the time period. This indicates that there is a systematic deviation or occasional instability between the output parameters of the chilled water station and the actual demand of the internal circuit, and the current water supply setting data needs to be adjusted. Adjusting the current water supply setting data involves correcting at least one of the temperature setting value, flow setting value, and flow direction setting value. The direction and magnitude of the correction are determined by the nature of the deviation pointed to by the identified abnormal data types (i.e., those that do not meet the conditions in the first, second, and third comparison results).

[0040] Step S530: If the water supply guarantee rate is greater than or equal to the preset water supply threshold, then the temperature control optimization measure is determined to retain the current water supply setting data.

[0041] Among them, the condition of "water supply guarantee rate greater than or equal to preset water supply threshold" means that within the current preset time period, the cumulative time when the cooling water supply status is in a normal state reaches or exceeds the preset proportion of the total duration of the time period, indicating that the output parameters of the chilled water station can stably support the temperature control requirements of each circuit in the warehouse. "Retaining the current water supply setting data" means maintaining the current temperature setting value, flow setting value, and flow direction setting value unchanged, and using this set of setting data directly as the initial water supply setting data for the next preset time period.

[0042] In this way, by comparing the water supply guarantee rate with the preset water supply threshold, a quantitative assessment of the overall response quality of the water cooling system is achieved. Based on this, the comparison result can drive a binary decision of adjustment or retention, and the decision result can be directly mapped to the update behavior of the water supply setting data, so that the temperature control strategy has a clear execution path and closed-loop feedback capability, thereby ensuring the accuracy of concrete temperature control while reducing the frequency of ineffective adjustments and equipment wear and tear.

[0043] In some embodiments, details are provided on how to dynamically adjust the water supply settings for the next preset time period based on temperature control optimization measures. Please refer to [link to documentation] for details. Figure 5 This temperature control method is applicable in situations such as Figure 1 The S600 shown includes S610-S620, which are described in detail below: Based on temperature control optimization measures, the water supply settings for the next preset time period are dynamically adjusted, including: Step S610: When the temperature control optimization measure is to adjust the current water supply setting data, adjust the current water supply setting data according to the abnormal data type of the first water supply demand data, and determine the adjusted water supply setting data as the water supply setting data for the next preset time period. The abnormal data type of the first water supply demand data can refer to the data type that is identified as not meeting the corresponding threshold conditions during the cooling water supply status judgment process. The abnormal data type includes at least one of the following: the first comparison result does not meet the corresponding condition (i.e., the temperature deviation value reaches or exceeds the preset temperature threshold), the second comparison result does not meet the corresponding condition (i.e., the flow deviation value reaches or exceeds the preset flow threshold), and the third comparison result does not meet the corresponding condition (the flow direction deviation value is not equal to the preset flow direction threshold). In this regard, adjusting the water supply setting data according to the abnormal data type of the first water supply demand data can mean that only the setting value corresponding to the data type that is judged as abnormal is corrected, while the setting values ​​corresponding to the other data types that are not judged as abnormal remain unchanged. Subsequently, the adjusted water supply setting data is used as the water supply setting data for the next preset period to drive the chilled water station to perform new temperature control, flow regulation and flow direction switching actions.

[0044] Step S620: If the temperature control optimization measure is to retain the current water supply setting data, the current water supply setting data is determined as the water supply setting data for the next preset time period.

[0045] The current water supply setting data includes the temperature setting value, flow rate setting value, and flow direction setting value of the chilled water station in the current preset time period. Determining the current water supply setting data as the water supply setting data for the next preset time period can mean directly reusing the set of settings in the current preset time period for the next preset time period, avoiding redundant calculations and control disturbances, and maintaining the continuity and stability of the cooling water supply strategy.

[0046] In this way, this embodiment can bind the specific control parameters of the adjustment path with the identification results of abnormal data types based on the subdivision of temperature control optimization measures into two decision paths: adjustment and retention. This ensures that parameter correction has clear direction and minimal intervention. At the same time, the time continuity of the set parameters is maintained in the retention path to avoid control jitter. Ultimately, this enables the entire water cooling system to respond quickly to local deviations and operate stably for a long time, improving the autonomy, robustness and engineering applicability of the water cooling process for large-volume concrete.

[0047] It is understandable that in step S610, if there are multiple abnormal comparison results (for example, neither the first comparison result nor the second comparison result meets the corresponding conditions), the frequency and duration of occurrence of multiple abnormal comparison results can be combined to prioritize the correction of the dominant deviation term.

[0048] In some embodiments, a detailed description is provided of how to adjust the current water supply setting data based on abnormal data types of the first water supply demand data. This temperature control method, in cases such as... Figure 5 The S610 shown includes S611, which is described in detail below: Based on the abnormal data type of the primary water supply demand data, adjust the current water supply settings, including: Step S611: When the first comparison result does not meet the corresponding conditions, adjust the temperature setting value; wherein, when the first temperature requirement value is less than the first measured temperature value, decrease the temperature setting value; when the first temperature requirement value is greater than the first measured temperature value, increase the temperature setting value.

[0049] The first comparison result not meeting the corresponding conditions can mean that the deviation between the first temperature demand value and the first measured temperature value reaches or exceeds the preset temperature threshold; when the first temperature demand value is less than the first measured temperature value, it indicates that the water supply temperature is too high, which can be addressed by adjusting the water temperature loss parameter. The temperature setpoint is calibrated and lowered to offset the water temperature deviation along the pipeline, bringing the actual water temperature at the end back to the acceptable range. When the first temperature requirement is greater than the first measured temperature, it indicates that the water supply temperature is too low, which can be addressed by adjusting the water temperature loss parameter. The temperature setpoint is calibrated and increased to compensate for the water temperature loss along the pipeline.

[0050] In some embodiments, a detailed description is provided of how to adjust the current water supply setting data based on abnormal data types of the first water supply demand data. This temperature control method, in cases such as... Figure 5 The S610 shown includes S612, which is described in detail below: Adjusting the current water supply settings based on the abnormal data types in the primary water supply demand data also includes: Step S612: When the second comparison result does not meet the corresponding conditions, adjust the flow setting value; wherein, when the first flow demand value is less than the first flow measured value, decrease the flow setting value; when the first flow demand value is greater than the first flow measured value, increase the flow setting value.

[0051] The second comparison result not meeting the corresponding conditions may mean that the deviation between the first flow demand value and the first flow measured value reaches or exceeds the preset flow threshold; when the first flow demand value is less than the first flow measured value, it indicates that the water supply flow is too large, which can be addressed by adjusting the flow loss parameter. The flow rate setpoint is calibrated and reduced to eliminate supply anomalies caused by flow redundancy. When the initial flow demand value is greater than the initial measured flow value, it indicates that the water supply flow is too low, which can be addressed by adjusting the flow loss parameter. To calibrate and increase the flow setpoint to compensate for flow loss along the pipeline.

[0052] In some embodiments, a detailed description is provided of how to adjust the water supply setting data based on actual water supply measurement data. This temperature control method, in cases such as... Figure 1 The S100 shown includes S110-S140, which are described in detail below: The measured water supply data also includes the measured second temperature and second flow rate of the water supply unit where the in-situ circuit is located at the corresponding time within the current preset time period, as well as the measured third temperature and third flow rate of the chilled water station at the corresponding time within the current preset time period; the water supply setting data for the large-volume concrete within the current preset time period is obtained, including: Step S110: Based on the water temperature demand curve, flow rate demand curve, and flow direction demand curve of the in-situ water circuit of the large-volume concrete, determine the first water supply demand data. The in-storage loop water temperature demand curve is characterized as a piecewise constant function of the cooling water temperature required by each in-storage loop per unit time scale as a function of construction progress or concrete age. It can refer to the target sequence of outlet water temperature for each loop obtained by back-calculation based on the concrete center temperature prediction model, ambient air temperature monitoring data, and the design maximum allowable temperature rise. The in-storage loop flow rate demand curve can be the dynamic range of cooling water volume flow rate required by each loop per unit time scale, determined by the loop pipe diameter, concrete thermal properties, water flow duration, and heat dissipation rate constraints. The in-storage loop flow direction demand curve can be a clockwise / counterclockwise periodic reversal sequence set according to the concrete pouring sequence, the temperature gradient distribution on the storage surface, and crack prevention control requirements. The method for determining the first water supply demand data can be obtained according to Formula 1 in the aforementioned embodiment, and will not be repeated here.

[0053] Step S120: Based on the number of loops in the warehouse and the first water supply demand data, determine the second water supply demand data; the second water supply demand data includes the second temperature demand value, the second flow rate demand value and the second flow direction demand value of the water supply package at the corresponding time within the current preset time period; The method for determining the second water supply demand data can be obtained according to Formula 2 in the aforementioned embodiment, and will not be repeated here.

[0054] Step S130: Based on the number of water supply packages and the second water supply demand data, determine the third water supply demand data; the third water supply demand data includes the third temperature demand value, the third flow rate demand value, and the third flow direction demand value of the chilled water station at the corresponding time within the current preset time period. The method for determining the third water supply demand data can be obtained based on Formula 3 in the aforementioned embodiment, and will not be repeated here.

[0055] Step S140: Based on the third water supply demand data, obtain water supply setting data; wherein, the temperature setting value is the sum of the water temperature loss parameter and the second temperature demand value, and the water temperature loss parameter is represented as the average value of the difference between the third measured temperature value and the second measured temperature value; the flow rate setting value is the sum of the flow rate loss parameter and the second flow rate demand value, and the flow rate loss parameter is represented as the difference between the sum of the second measured flow rate value and the third measured flow rate value; the flow direction setting value is the same as the third flow direction demand value.

[0056] As can be seen from the aforementioned embodiments and Formula 3, the water supply setting data can usually be obtained by corresponding to the third water supply demand data. However, in this embodiment, by introducing the measured water supply data from the water supply package and the chilled water station, the water temperature loss parameter is... and flow loss parameters This can be obtained based on actual water supply measurement data. Therefore, water temperature loss parameters can be established based on Formula 4. : Formula 4: ; In the formula, This is the measured value of the third temperature. This is the measured value of the second temperature. This is the temperature correction factor, with a default value of 1.

[0057] Meanwhile, flow loss parameters can be established based on Formula 5. : Formula 5:

[0058] Calculated; where, This is the third measured flow rate; This is the second measured flow rate; This is the flow correction factor, with a default value of 1.

[0059] Thus, combined Figure 6 As shown, based on the three-level temperature control demand transmission model of the in-cell loop-water supply package-cooling water station, the temperature, flow rate, and flow direction demands of each level can be summarized step by step. By combining the measured data of the water supply package and cooling water station, the water temperature loss and flow rate loss can be quantified. Closed-loop feedback can be initiated to optimize the water supply setting data, realize the adaptive adjustment of the water supply setting data, thereby reducing the deviation of the terminal cooling water parameters, and making the actual cooling water temperature and flow rate obtained by the in-cell loop more stably maintained within the design allowable range, so as to improve the temperature control quality and efficiency.

[0060] It is understandable that in steps S611 and S612, based on the water temperature loss parameter and flow loss parameters The temperature and flow rate setpoints can be adjusted by modifying formulas 4 and 5. and accomplish.

[0061] For example, when the required first temperature is less than the measured first temperature, the temperature correction factor can be increased. This is done to calibrate and reduce the temperature setpoint, thereby offsetting the water temperature deviation along the pipeline and bringing the actual water temperature at the end back to the acceptable range; when the first temperature requirement value is greater than the first measured temperature value, the temperature correction factor can be reduced. This is done to calibrate and increase the temperature setpoint to compensate for water temperature loss along the pipeline.

[0062] Similarly, when the initial flow demand is less than the initial measured flow, the flow correction factor can be reduced. To calibrate and reduce the flow setpoint, the power of the matching booster pump is adjusted synchronously, thereby eliminating supply anomalies caused by flow redundancy; when the first flow demand value is greater than the first measured flow value, the flow correction coefficient can be increased. This is done to calibrate and increase the flow setpoint, and simultaneously adjust the power of the booster pump to compensate for flow loss along the pipeline.

[0063] In addition, temperature correction factor and flow correction factor Adjustments can also be made based on dynamic changes in the concrete temperature control boundary (such as seasonal variations) to improve the on-site adaptability of the cooling water supply. For example, in winter, when the temperature is low, the heat exchange between the concrete and the air increases, and the temperature loss of the cooling water during its flow in the pipe network is less. In this case, the temperature correction coefficient can be appropriately increased. To reduce the temperature setpoint and decrease the flow correction factor A solution could be to reduce the flow rate setpoint. Conversely, in summer, the relatively high temperature makes it easy for the external environment to cause temperature backflow into the concrete, increasing the difficulty of controlling the maximum concrete temperature. The cooling water also experiences significant temperature loss during its flow through the pipe network. Therefore, it is advisable to appropriately reduce the temperature correction coefficient. To increase the temperature setpoint and increase the flow correction factor The solution was to increase the flow rate setting.

[0064] Figure 7 This is a structural block diagram of a large-volume concrete water cooling temperature control device according to an embodiment of the present invention, referring to... Figure 7 This invention provides a water-cooled temperature control device 700 for large-volume concrete, comprising: The acquisition module 701 is used to acquire the first water supply demand data, water supply setting data, and actual water supply data of the large-volume concrete within the current preset time period; wherein, the first water supply demand data includes the first temperature demand value, the first flow rate demand value, and the first flow direction demand value of the in-cell circuit at the corresponding moment within the current preset time period; the water supply setting data includes the temperature setting value, flow rate setting value, and flow direction setting value of the chilled water station; and the actual water supply data includes the first measured temperature value, the first measured flow rate value, and the first measured flow direction value of the in-cell circuit at the corresponding moment within the current preset time period. The first analysis module 702 is used to determine the deviation value of each data type based on the first water supply demand data and the actual water supply measurement data. The first determining module 703 is used to determine the cooling water supply status based on the deviation value. The second analysis module 704 is used to accumulate the duration of the cooling water supply period under normal conditions to obtain the total duration corresponding to the normal cooling water supply period, and to use the proportion of the total duration corresponding to the normal cooling water supply period in the current preset period as the water supply guarantee rate. The second determining module 705 is used to determine temperature control optimization measures based on the water supply guarantee rate; The optimization module 706 is used to dynamically adjust the water supply setting data for the next preset time period based on temperature control optimization measures.

[0065] Optionally, the acquisition module 701 further includes: The first acquisition unit is used to acquire the first measured temperature, the first measured flow rate, and the first measured flow direction of the internal circuit at the corresponding time within the current preset time period. The first acquisition unit is used to acquire the measured second temperature and the measured second flow rate of the water supply package where the internal circuit is located at the corresponding time within the current preset time period. The second acquisition unit is used to acquire the third measured temperature value and the third measured flow rate value of the chilled water station at the corresponding time within the current preset time period; The first monitoring unit is used to acquire water supply setting data.

[0066] It is understandable that water supply demand data can be obtained through the acquisition module 701 after analysis and calculation by the first analysis module 702, or it can be obtained from the cloud computing platform through the acquisition module 701.

[0067] As the apparatus embodiment is basically similar to the method embodiment, it is described in a relatively simple manner. For relevant details, please refer to the description of the method embodiment.

[0068] This invention also provides an electronic device, including: a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, it implements the various processes of the above-described large-volume concrete water cooling temperature control method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0069] This invention also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described large-volume concrete water cooling temperature control method embodiments and achieve the same technical effects. To avoid repetition, they will not be described again here.

[0070] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0071] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of the present invention is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0072] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, electronic device, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0073] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of the present invention.

Claims

1. A method for temperature control of water cooling in large-volume concrete, characterized in that, The methods include: Acquire the first water supply demand data, water supply setting data, and actual water supply data for mass concrete within the current preset time period; wherein, the first water supply demand data includes the first temperature demand value, first flow rate demand value, and first flow direction demand value of the in-concrete circuit at the corresponding time within the current preset time period; the water supply setting data includes the temperature setting value, flow rate setting value, and flow direction setting value of the chilled water station; the actual water supply data includes the first measured temperature value, first measured flow rate value, and first measured flow direction value of the in-concrete circuit at the corresponding time within the current preset time period; Based on each data type in the first water supply demand data and the actual water supply measurement data, determine the deviation value of the corresponding data type; The cooling water supply status is determined based on the deviation value. The duration of the cooling water supply under normal conditions is accumulated to obtain the total duration corresponding to the normal cooling water supply period. The proportion of the total duration corresponding to the normal cooling water supply period in the current preset period is used as the water supply guarantee rate. Based on the aforementioned water supply guarantee rate, temperature control optimization measures are determined; Based on the aforementioned temperature control optimization measures, the water supply setting data for the next preset time period is dynamically adjusted.

2. The method for temperature control of water cooling in large-volume concrete according to claim 1, characterized in that, The step of determining the cooling water supply status based on the deviation value includes: The deviation between the first temperature requirement value and the first measured temperature value is compared with a preset temperature threshold to obtain a first comparison result. The deviation between the first traffic demand value and the first measured traffic value is compared with a preset traffic threshold to obtain a second comparison result. The deviation between the first flow direction demand value and the first flow direction measured value is compared with a preset flow direction threshold to obtain a third comparison result; If the first comparison result, the second comparison result, and the third comparison result all meet the corresponding conditions, then the cooling water supply status is determined to be normal.

3. The method for temperature control of water cooling in large-volume concrete according to claim 2, characterized in that, The determination of temperature control optimization measures based on the water supply guarantee rate includes: The water supply guarantee rate is compared with the preset water supply threshold. If the water supply guarantee rate is less than the preset water supply threshold, then the temperature control optimization measure is determined to be adjusting the current water supply setting data; If the water supply guarantee rate is greater than or equal to the preset water supply threshold, then the temperature control optimization measure is determined to retain the current water supply setting data.

4. The method for temperature control of water cooling in large-volume concrete according to claim 3, characterized in that, The dynamic adjustment of the water supply setting data for the next preset time period based on the temperature control optimization measures includes: When the temperature control optimization measure is to adjust the current water supply setting data, the current water supply setting data is adjusted according to the abnormal data type of the first water supply demand data, and the adjusted water supply setting data is determined as the water supply setting data for the next preset time period. If the temperature control optimization measure is to retain the current water supply setting data, the current water supply setting data will be determined as the water supply setting data for the next preset time period.

5. The method for temperature control of water cooling in large-volume concrete according to claim 4, characterized in that, The step of adjusting the current water supply setting data based on the abnormal data type of the first water supply demand data includes: If the first comparison result does not meet the corresponding conditions, the temperature setpoint is adjusted; wherein... If the first temperature requirement is less than the first measured temperature, reduce the temperature setting value. If the first temperature requirement value is greater than the first measured temperature value, the temperature setting value is increased.

6. The method for temperature control of water cooling in large-volume concrete according to claim 4, characterized in that, The step of adjusting the current water supply setting data based on the abnormal data type of the first water supply demand data further includes: If the second comparison result does not meet the corresponding conditions, the flow rate setting value is adjusted; wherein... If the first traffic demand value is less than the first measured traffic value, reduce the traffic setting value; If the first traffic demand value is greater than the first measured traffic value, the traffic setting value is increased.

7. The method for temperature control of water cooling in large-volume concrete according to any one of claims 1-6, characterized in that, The measured water supply data also includes the measured second temperature and second flow rate of the water supply package where the in-warehouse circuit is located at the corresponding time within the current preset time period, as well as the measured third temperature and third flow rate of the chilled water station at the corresponding time within the current preset time period. The acquisition of water supply setting data for large-volume concrete within the current preset time period includes: Based on the water temperature demand curve, flow rate demand curve, and flow direction demand curve of the in-situ water circuit of large-volume concrete, the first water supply demand data is determined. Based on the number of loops in the warehouse and the first water supply demand data, the second water supply demand data is determined; the second water supply demand data includes the second temperature demand value, the second flow rate demand value and the second flow direction demand value of the water supply package at the corresponding time in the current preset time period; Based on the number of water supply packages and the second water supply demand data, the third water supply demand data is determined; the third water supply demand data includes the third temperature demand value, the third flow rate demand value, and the third flow direction demand value of the chilled water station at the corresponding time within the current preset time period; Based on the third water supply demand data, the water supply setting data is obtained; wherein, The temperature setpoint is the sum of the water temperature loss parameter and the second temperature requirement value, where the water temperature loss parameter is the average of the differences between the third measured temperature value and the second measured temperature value; the flow rate setpoint is the sum of the flow rate loss parameter and the second flow rate requirement value, where the flow rate loss parameter is the difference between the sum of the second measured flow rate value and the third measured flow rate value; the flow direction setpoint is the same as the third flow direction requirement value.

8. A water-cooled temperature control device for large-volume concrete, characterized in that, The device includes: The acquisition module is used to acquire the first water supply demand data, water supply setting data, and actual water supply data of the large-volume concrete within the current preset time period. The first water supply demand data includes the first temperature demand value, first flow rate demand value, and first flow direction demand value of the in-concrete circuit at the corresponding moment within the current preset time period. The water supply setting data includes the temperature setting value, flow rate setting value, and flow direction setting value of the chilled water station. The actual water supply data includes the first measured temperature value, first measured flow rate value, and first measured flow direction value of the in-concrete circuit at the corresponding moment within the current preset time period. The first analysis module is used to determine the deviation value of each data type based on the first water supply demand data and the actual water supply measurement data. The first determining module is used to judge the cooling water supply status based on the deviation value and determine the cooling water supply status. The second analysis module is used to accumulate the duration of the time when the cooling water supply is in a normal state to obtain the total duration corresponding to the normal cooling water supply period, and to use the proportion of the total duration corresponding to the normal cooling water supply period in the current preset period as the water supply guarantee rate. The second determination module is used to determine temperature control optimization measures based on the water supply guarantee rate; The optimization module is used to dynamically adjust the water supply settings for the next preset time period based on temperature control optimization measures.

9. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the water cooling temperature control method for large-volume concrete as described in claims 1-7.

10. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the water cooling temperature control method for large-volume concrete as described in claims 1-7.

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