A temperature control device and method for large-volume corrosion-resistant concrete at the confluence of rivers and the sea

Abstract

This invention discloses a temperature control device and method for large-volume corrosion-resistant concrete at the confluence of a river and the sea. It collects data on the corrosion-resistant concrete during construction operations at the confluence, preprocesses and classifies the data to obtain processed data, and then performs calculations and temperature control. It provides early warnings for any anomalies during temperature control and displays corresponding temperature control measures. Considering the need for strict control of the internal and external temperature differences to prevent cracking in large-volume corrosion-resistant concrete during construction at the confluence, key indicators are selected for comprehensive reasoning and calculation. Simultaneously, the characteristics of the corrosion-resistant concrete are considered as control parameters during temperature control, improving the accuracy of temperature control. This results in a comprehensive and intelligent water-flow temperature control algorithm for large-volume corrosion-resistant concrete, enabling personalized and intelligent temperature control tailored to the specific characteristics of the concrete.

Description

Technical Field

[0001] This invention relates to the field of temperature control technology, and more specifically, to a temperature control device and method for large-volume corrosion-resistant concrete at the confluence of rivers and the sea. Background Technology

[0002] In engineering construction, the construction temperature of concrete directly affects its compaction effect, bonding properties, and durability. If the concrete temperature is too low, the bonding properties are poor, compaction is difficult, and problems such as cracking and spalling may occur during the use of the pavement. If the temperature is too high, the volatility of the concrete increases, thus affecting the durability of the pavement. Therefore, controlling the concrete temperature during construction is crucial to ensuring project quality.

[0003] When constructing projects at the confluence of rivers and the sea, due to the unique environmental characteristics of this area, large-volume corrosion-resistant concrete is often used. This large-volume corrosion-resistant concrete requires the addition of various admixtures during its preparation to enhance its resistance to sulfates, chloride ions, impermeability, and cracking, thereby improving its corrosion resistance and durability. This results in a complex composition of the concrete. Strictly controlling the internal and external temperature differences during the construction of large-volume concrete is crucial to preventing cracks. Therefore, controlling the construction temperature for corrosion-resistant large-volume concrete presents a greater challenge.

[0004] In existing technologies, to avoid the formation of temperature shrinkage cracks, temperature is usually controlled by adjusting the material ratio, pouring plan, using sand and gravel aggregates and pump trucks to spray water for cooling, and adding ice to the mixing water. Most of these measures are for temperature control of concrete in ordinary construction operations. However, in the special construction environment of the confluence of rivers and seas, it is not possible to carry out personalized and intelligent temperature control for the characteristics of large-volume corrosion-resistant concrete. Summary of the Invention

[0005] The purpose of this invention is to provide a temperature control device and method for large-volume corrosion-resistant concrete at the confluence of rivers and the sea, in order to solve the above-mentioned problems existing in the prior art.

[0006] The application is as follows:

[0007] A temperature control device for large-volume corrosion-resistant concrete at the confluence of a river and the sea is characterized by comprising: a data acquisition module for acquiring data information of the corrosion-resistant concrete during construction operations at the confluence of a river and the sea; a data processing module for preprocessing and classifying the data information of the corrosion-resistant concrete to obtain processed data; a temperature control module for calculating and controlling the temperature of the processed data; and a control and early warning module for issuing early warnings for abnormalities occurring during the temperature control process and displaying temperature control measures.

[0008] Data collected during construction operations at the confluence of the river and the sea includes ambient temperature information, the mix proportions of the corrosion-resistant concrete, and the temperature of the corrosion-resistant concrete, which includes both internal and external temperatures.

[0009] The data information of the corrosion-resistant concrete is preprocessed and classified to obtain processed data, including noise removal using adaptive filtering technology and classification.

[0010] The calculation and temperature control of the processed data include:

[0011] The ambient temperature T was selected. e Internal temperature T of corrosion-resistant concrete i External temperature T o Three state parameters, serving as key spatial dimension features influencing control actions, were used to perform multivariate temporal encoding on the data, resulting in the multivariate temporal state matrix B:

[0012]

[0013] Where n represents the number of measurement points, t is the sampling time, and T e (t) n ΔT represents the ambient temperature at time t at the nth measuring point. i (t) n ΔT represents the distance between the internal temperature of the state and the internal temperature of the target at time t at the nth measuring point. o (t) n This represents the distance between the external temperature of the state and the external temperature of the target at time t at the nth measuring point;

[0014] The state matrix B is used as the basic element of the memory experience pool. After acquiring the data information, it is merged into a three-dimensional multivariate temporal state matrix, which is used as the input information of the model.

[0015] Since different anti-corrosion concrete mix proportions have different heat releases, the anti-corrosion concrete mix proportion is used as a continuous space of control parameters. In each temperature control process, a current anti-corrosion concrete mix proportion is selected as the control command to be executed in the current state.

[0016] During temperature control, the mixing ratio of return water and cold water is adjusted to obtain a mixed cooling water with a corresponding temperature for temperature control. This determines the control conditions for the large-volume corrosion-resistant concrete at the confluence of the river and the sea.

[0017]

[0018] T i (t)-T i (t-1)=c(t)

[0019] Among them, T i To control the internal temperature of corrosion-resistant concrete, T m T is the temperature of the mixed water used for temperature control. o The external temperature of the corrosion-resistant concrete is represented by P, where P represents different measuring points, n represents the number of measuring points, and T represents the external temperature. i (t) represents the internal temperature at time t, T i (t-1) represents the internal temperature at time t-1, t represents the sampling time, a(t) represents the temperature difference between the highest internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) represents the internal and external temperature difference of the anti-corrosion concrete at time t, and c(t) represents the rate of change of the highest internal temperature of the anti-corrosion concrete at time t.

[0020] The resulting temperature control algorithm is as follows:

[0021]

[0022] Where Y represents the output value of the control algorithm, representing the demand in the temperature control process; μ B This is a mapping of the state matrix B, where k, g, and f are user-defined probability values.

[0023] The method for providing early warnings and displaying temperature control measures for abnormalities occurring during the temperature control process includes: pre-setting temperature control targets, acquiring, analyzing, and judging temperature data at various temperature measuring points of the corrosion-resistant concrete, issuing early warnings for measuring points that exceed the temperature targets, and prompting the temperature control technical measures to be taken.

[0024] A method for temperature control of large-volume corrosion-resistant concrete at the confluence of a river and the sea, characterized by the following steps: collecting data on the corrosion-resistant concrete during construction operations at the confluence of a river and the sea; preprocessing and classifying the data to obtain processed data; performing calculations and temperature control on the processed data; and issuing early warnings and displaying temperature control measures for any abnormalities occurring during the temperature control process.

[0025] Data collected during construction operations at the confluence of the river and the sea includes ambient temperature information, the mix proportions of the corrosion-resistant concrete, and the temperature of the corrosion-resistant concrete, which includes both internal and external temperatures.

[0026] The data information of the corrosion-resistant concrete is preprocessed and classified to obtain processed data, including noise removal using adaptive filtering technology and classification.

[0027] The calculation and temperature control of the processed data include:

[0028] The ambient temperature T was selected. e Internal temperature T of corrosion-resistant concrete iExternal temperature T o Three state parameters, serving as key spatial dimension features influencing control actions, were used to perform multivariate temporal encoding on the data, resulting in the multivariate temporal state matrix B:

[0029]

[0030] Where n represents the number of measurement points, t is the sampling time, and T e (t) n ΔT represents the ambient temperature at time t at the nth measuring point. i (t) n ΔT represents the distance between the internal temperature of the state and the internal temperature of the target at time t at the nth measuring point. o (t) n This represents the distance between the external temperature of the state and the external temperature of the target at time t at the nth measuring point;

[0031] The state matrix B is used as the basic element of the memory experience pool. After acquiring the data information, it is merged into a three-dimensional multivariate temporal state matrix, which is used as the input information of the model.

[0032] Since different anti-corrosion concrete mix proportions have different heat releases, the anti-corrosion concrete mix proportion is used as a continuous space of control parameters. In each temperature control process, a current anti-corrosion concrete mix proportion is selected as the control command to be executed in the current state.

[0033] During temperature control, the mixing ratio of return water and cold water is adjusted to obtain a mixed cooling water with a corresponding temperature for temperature control. This determines the control conditions for the large-volume corrosion-resistant concrete at the confluence of the river and the sea.

[0034]

[0035] T i (t)-T i (t-1)=c(t)

[0036] Among them, T i To control the internal temperature of corrosion-resistant concrete, T m T is the temperature of the mixed water used for temperature control. o The external temperature of the corrosion-resistant concrete is represented by P, where P represents different measuring points, n represents the number of measuring points, and T represents the external temperature. i (t) represents the internal temperature at time t, T i (t-1) represents the internal temperature at time t-1, t represents the sampling time, a(t) represents the temperature difference between the highest internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) represents the internal and external temperature difference of the anti-corrosion concrete at time t, and c(t) represents the rate of change of the highest internal temperature of the anti-corrosion concrete at time t.

[0037] The resulting temperature control algorithm is as follows:

[0038]

[0039] Where Y represents the output value of the control algorithm, representing the demand in the temperature control process; μ B This is a mapping of the state matrix B, where k, g, and f are user-defined probability values.

[0040] The method for providing early warnings and displaying temperature control measures for abnormalities occurring during the temperature control process includes: pre-setting temperature control targets, acquiring, analyzing, and judging temperature data at various temperature measuring points of the corrosion-resistant concrete, issuing early warnings for measuring points that exceed the temperature targets, and prompting the temperature control technical measures to be taken.

[0041] Compared with the prior art, the embodiments of the present invention achieve the following beneficial effects:

[0042] This invention provides a temperature control device and method for large-volume corrosion-resistant concrete at the confluence of a river and the sea. It addresses the need for strict control of the internal and external temperature differences during construction at these locations to prevent cracking of the large-volume concrete. Due to the environmental characteristics of these areas, large-volume corrosion-resistant concrete is often used in construction. This application comprehensively reasones and calculates the ambient temperature, the internal temperature of the corrosion-resistant concrete, and the external temperature as key parameters affecting the control action. Simultaneously, it considers the characteristics of the corrosion-resistant concrete during temperature control, using the concrete mix ratio as a control parameter, thus forming an intelligent and comprehensive temperature control algorithm for large-volume corrosion-resistant concrete, improving the accuracy of temperature control. The device also includes a display of early warning and temperature control measure prompts to promptly respond to anomalies during the temperature control process, achieving personalized and intelligent temperature control tailored to the characteristics of large-volume corrosion-resistant concrete. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of a temperature control device for large-volume corrosion-resistant concrete at the confluence of a river and the sea, provided in an embodiment of the present invention.

[0044] Figure 2 This is a diagram illustrating the warning and temperature control measures.

[0045] Figure 3 This is a schematic diagram illustrating the working principle of a temperature control device for large-volume anti-corrosion concrete at the confluence of a river and the sea, provided in an embodiment of the present invention.

[0046] Figure 4 This is a schematic diagram of a method for controlling the temperature of large-volume corrosion-resistant concrete at the confluence of a river and the sea, provided by an embodiment of the present invention. Detailed Implementation

[0047] The present invention will now be described in detail with reference to the accompanying drawings.

[0048] Example 1

[0049] This invention provides a temperature control device for large-volume corrosion-resistant concrete at the confluence of a river and the sea, such as... Figure 1 As shown, it includes the following modules:

[0050] Data acquisition module, data processing module, temperature control module, and control and early warning module;

[0051] When carrying out engineering work at the confluence of rivers and seas, large-volume corrosion-resistant concrete is usually used for construction. However, due to the large structural dimensions and low thermal conductivity of large-volume concrete, the heat released by the hydration of cementitious materials is difficult to dissipate quickly, resulting in a high internal temperature rise, which can cause structural deformation and cracking. Therefore, it is necessary to monitor the internal temperature of large-volume concrete during construction. Due to the special geographical location of the confluence of rivers and seas, corrosion-resistant concrete is usually used for construction. Improving the durability and corrosion resistance of the concrete itself requires the addition of various admixtures, resulting in corrosion-resistant concrete with different mix proportions. Furthermore, the ambient temperature during construction also affects the construction process.

[0052] Therefore, during construction, by setting up multiple sets of temperature sensors, the data acquisition module collects data information on the anti-corrosion concrete when construction is carried out at the confluence of the river and the sea, including ambient temperature information, the mix proportion of the anti-corrosion concrete, and the temperature of the anti-corrosion concrete, wherein the temperature of the anti-corrosion concrete includes both internal and external temperatures.

[0053] The mix proportions of corrosion-resistant concrete include water-cement ratio, unit water consumption, cementitious material consumption, individual consumption of slag powder, silica fume, and cement, water-reducing agent and air-entraining agent consumption, and sand ratio.

[0054] To improve data quality and prevent deviations in subsequent data processing, the data processing module preprocesses and classifies the data information of the corrosion-resistant concrete to obtain processed data. This includes using adaptive filtering technology to eliminate noise in the data information, classifying it, and storing the classified data.

[0055] The temperature control module performs calculations and temperature control on the processed data, including selecting the ambient temperature T. e Internal temperature T of corrosion-resistant concrete i External temperature T o Three state parameters, serving as key spatial dimension features influencing control actions, were used to perform multivariate temporal encoding on the data, resulting in the multivariate temporal state matrix B:

[0056]

[0057] Where n represents the number of measurement points, t is the sampling time, and Te (t) n ΔT represents the ambient temperature at time t at the nth measuring point. i (t) n ΔT represents the distance between the internal temperature of the target and the internal temperature at time t at the nth measuring point. o (t) n This represents the distance between the external temperature and the target's external temperature at time t, which is the nth measuring point;

[0058] The state matrix B is used as the basic element of the memory experience pool. After acquiring the data information, it is merged into a three-dimensional multivariate temporal state matrix, which is used as the input information of the model.

[0059] Since different anti-corrosion concrete mix proportions have different heat releases, the anti-corrosion concrete mix proportion is used as a continuous space of control parameters. In each temperature control process, a current anti-corrosion concrete mix proportion is selected as the control command to be executed in the current state.

[0060] Large-volume corrosion-resistant concrete with different mix proportions has different strength grades. Generally speaking, cement with higher strength grades has greater heat of hydration and a faster heat release rate; while cement with lower strength grades has less heat of hydration and a slower heat release rate. When controlling the temperature, using the mix proportion of the corrosion-resistant concrete as a control parameter can provide more accurate temperature control.

[0061] During temperature control, the mixing ratio of return water and cold water is adjusted to obtain a mixed cooling water with a corresponding temperature for temperature control. This determines the control conditions for the large-volume corrosion-resistant concrete at the confluence of the river and the sea.

[0062]

[0063] T i (t)-T i (t-1)=c(t)

[0064] Among them, T i To control the internal temperature of corrosion-resistant concrete, T m T is the temperature of the mixed water used for temperature control. o The external temperature of the corrosion-resistant concrete is represented by P, where P represents different measuring points, n represents the number of measuring points, and T represents the external temperature. i (t) represents the internal temperature at time t, T i (t-1) represents the internal temperature at time t-1, t represents the sampling time, a(t) represents the temperature difference between the highest internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) represents the internal and external temperature difference of the anti-corrosion concrete at time t, and c(t) represents the rate of change of the highest internal temperature of the anti-corrosion concrete at time t.

[0065] According to the standard for large-volume concrete construction, GB 50496-2018, the internal and external temperature difference of the concrete pouring body should not exceed 25℃; the maximum temperature rise of the concrete pouring body should not exceed 50℃ (based on the initial placement temperature); and the concrete cooling rate should not exceed 2.0℃ / d. Large-volume concrete construction typically adopts an "internal cooling and external insulation" method to meet the standard requirements. This involves installing internal cooling water pipes for circulating water cooling and covering the exterior with an insulation layer. Control parameters for large-volume corrosion-resistant concrete are set according to actual construction needs.

[0066] The resulting temperature control algorithm is as follows:

[0067]

[0068] Where Y represents the output value of the control algorithm, representing the demand in the temperature control process; μ B This is a mapping of the state matrix B, where k, g, and f are user-defined probability values.

[0069] The control and early warning module provides early warnings for any abnormalities occurring during the temperature control process and displays the corresponding temperature control measures. According to the technical specification for temperature measurement and control of large-volume concrete, GB / T51028-2015, the temperature should be measured and recorded every 15 to 60 minutes after concrete pouring. An automatic alarm should be triggered when the cooling rate or the temperature difference between the inside and outside exceeds the specified values, and the temperature control measures should be adjusted and optimized promptly.

[0070] like Figure 2 As shown, the specific warning information displayed includes the location of the temperature measurement point and the measures to be taken after exceeding the standard. The specific standards are temperature control index control values ​​and temperature control technical measures, including: control value: maximum internal temperature of concrete ≤70℃, measure: reduce cooling circulating water temperature; control value: internal surface temperature difference of concrete ≤25℃, measure: cover concrete surface with insulation and reduce cooling circulating water temperature; control value: concrete cooling rate ≤2℃ / d, measure: stop cooling circulating water and cover concrete surface with insulation; control value: maximum temperature difference between concrete and cooling water ≤25℃, measure: increase cooling circulating water temperature; control value: minimum temperature difference between concrete and cooling water ≥15℃, measure: reduce cooling circulating water temperature; control value: temperature difference between concrete surface and environment ≤15℃, measure: postpone formwork removal time.

[0071] like Figure 3As shown, the working principle of the temperature control device is as follows: The data acquisition module obtains the ambient temperature and the mix ratio information of the anti-corrosion concrete through multiple sets of temperature sensors and the anti-corrosion concrete database. The temperature control device, as the control center, continuously adjusts the mixing ratio of return water and cold water through control signals to obtain mixed cooling water at the corresponding temperature, which is then introduced into the internal pipes of the concrete for temperature control. Multiple sets of temperature sensors located at the anti-corrosion concrete position return the temperature data of the corresponding measuring points, which are wirelessly transmitted to the control center for adjustment of the mixed water temperature. When the cooling rate or the temperature difference between the surface and the interior exceeds the specified value, an automatic alarm is triggered, and warning information and temperature control measures are displayed on the monitor.

[0072] This invention provides a method for temperature control of large-volume corrosion-resistant concrete at the confluence of rivers and the sea, such as... Figure 4 As shown, the method is as follows: collecting data information on corrosion-resistant concrete during construction operations at the confluence of the river and the sea; preprocessing and classifying the data information on the corrosion-resistant concrete to obtain processed data; performing calculations and temperature control on the processed data; issuing early warnings for abnormalities occurring during the temperature control process and displaying temperature control measures.

[0073] Data collected during construction operations at the confluence of the river and the sea includes ambient temperature information, the mix proportions of the corrosion-resistant concrete, and the temperature of the corrosion-resistant concrete, which includes both internal and external temperatures.

[0074] The data information of the corrosion-resistant concrete is preprocessed and classified to obtain processed data, including noise removal using adaptive filtering technology and classification.

[0075] The calculation and temperature control of the processed data include:

[0076] The ambient temperature T was selected. e Internal temperature T of corrosion-resistant concrete i External temperature T o Three state parameters, serving as key spatial dimension features influencing control actions, were used to perform multivariate temporal encoding on the data, resulting in the multivariate temporal state matrix B:

[0077]

[0078] Where n represents the number of measurement points, t is the sampling time, and T e (t) n ΔT represents the ambient temperature at time t at the nth measuring point. i (t) n ΔT represents the distance between the internal temperature of the state and the internal temperature of the target at time t at the nth measuring point. o (t) nThis represents the distance between the external temperature of the state and the external temperature of the target at time t at the nth measuring point;

[0079] The state matrix B is used as the basic element of the memory experience pool. After acquiring the data information, it is merged into a three-dimensional multivariate temporal state matrix, which is used as the input information of the model.

[0080] Since different anti-corrosion concrete mix proportions have different heat releases, the anti-corrosion concrete mix proportion is used as a continuous space of control parameters. In each temperature control process, a current anti-corrosion concrete mix proportion is selected as the control command to be executed in the current state.

[0081] During temperature control, the mixing ratio of return water and cold water is adjusted to obtain a mixed cooling water with a corresponding temperature for temperature control. This determines the control conditions for the large-volume corrosion-resistant concrete at the confluence of the river and the sea.

[0082]

[0083] T i (t)-T i (t-1)=c(t)

[0084] Among them, T i To control the internal temperature of corrosion-resistant concrete, T m T is the temperature of the mixed water used for temperature control. o The external temperature of the corrosion-resistant concrete is represented by P, where P represents different measuring points, n represents the number of measuring points, and T represents the external temperature. i (t) represents the internal temperature at time t, T i (t-1) represents the internal temperature at time t-1, t represents the sampling time, a(t) represents the temperature difference between the highest internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) represents the internal and external temperature difference of the anti-corrosion concrete at time t, and c(t) represents the rate of change of the highest internal temperature of the anti-corrosion concrete at time t.

[0085] The resulting temperature control algorithm is as follows:

[0086]

[0087] Where Y represents the output value of the control algorithm, representing the demand in the temperature control process; μ B This is a mapping of the state matrix B, where k, g, and f are user-defined probability values.

[0088] The method for providing early warnings and displaying temperature control measures for abnormalities occurring during the temperature control process includes: pre-setting temperature control targets, acquiring, analyzing, and judging temperature data at various temperature measuring points of the corrosion-resistant concrete, issuing early warnings for measuring points that exceed the temperature targets, and prompting the temperature control technical measures to be taken.

[0089] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0090] Similarly, it should be understood that, in order to simplify this disclosure and aid in understanding one or more of the various aspects of the invention, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this method of disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.

[0091] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0092] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

Claims

1. A temperature control device for large-volume corrosion-resistant concrete at the confluence of a river and the sea, characterized in that, The device includes: The data acquisition module collects data on corrosion-resistant concrete during construction operations at the confluence of the river and the sea. The data processing module preprocesses and classifies the data information of the corrosion-resistant concrete to obtain processed data; The temperature control module performs calculations and temperature control on the processed data; The calculation and temperature control of the processed data include: The ambient temperature T was selected. e Internal temperature T of corrosion-resistant concrete i External temperature T o Three state parameters, serving as key spatial dimension features influencing control actions, were used to perform multivariate temporal encoding on the data, resulting in the multivariate temporal state matrix B: Where n represents the number of measurement points, t is the sampling time, and T e (t) n ΔT represents the ambient temperature at time t at the nth measuring point. i (t) n ΔT represents the distance between the internal temperature of the state and the internal temperature of the target at time t at the nth measuring point. o (t) n This represents the distance between the external temperature of the state and the external temperature of the target at time t at the nth measuring point; The state matrix B is used as the basic element of the memory experience pool. After acquiring the data information, it is merged into a three-dimensional multivariate temporal state matrix, which is used as the input information of the model. Since different anti-corrosion concrete mix proportions have different heat releases, the anti-corrosion concrete mix proportion is used as a continuous space of control parameters. In each temperature control process, a current anti-corrosion concrete mix proportion is selected as the control command to be executed in the current state. During temperature control, the mixing ratio of return water and cold water is adjusted to obtain a mixed cooling water with a corresponding temperature for temperature control. This determines the control conditions for the large-volume corrosion-resistant concrete at the confluence of the river and the sea. T i (t)-T i (t-1)=c(t) Among them, T i To control the internal temperature of corrosion-resistant concrete, T m T is the temperature of the mixed water used for temperature control. o The external temperature of the corrosion-resistant concrete is represented by P, where P represents different measuring points, n represents the number of measuring points, and T represents the external temperature. i (t) represents the internal temperature at time t, T i (t-1) represents the internal temperature at time t-1, t represents the sampling time, a(t) represents the temperature difference between the highest internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) represents the internal and external temperature difference of the anti-corrosion concrete at time t, and c(t) represents the rate of change of the highest internal temperature of the anti-corrosion concrete at time t. The resulting temperature control algorithm is as follows: Where Y represents the output value of the control algorithm, representing the demand in the temperature control process; μ B This is a mapping of the state matrix B, where k, g, and f are user-defined probability values; The control and early warning module provides early warnings for any abnormalities that occur during the temperature control process and displays the corresponding temperature control measures.

2. The temperature control device for large-volume corrosion-resistant concrete at the confluence of a river and the sea according to claim 1, characterized in that, Data collected on corrosion-resistant concrete during construction at the confluence of the river and the sea includes ambient temperature, mix proportions, and temperature, with the temperature including both internal and external temperatures.

3. The temperature control device for large-volume corrosion-resistant concrete at the confluence of a river and the sea according to claim 1, characterized in that, The data information of the corrosion-resistant concrete is preprocessed and classified to obtain processed data, including noise removal using adaptive filtering technology and classification.

4. The temperature control device for large-volume corrosion-resistant concrete at the confluence of a river and the sea according to claim 1, characterized in that, Providing early warnings and displaying temperature control measures for abnormalities occurring during the temperature control process includes: Temperature control targets are preset, and temperature data are acquired, analyzed, and judged at various temperature measuring points of the anti-corrosion concrete. For measuring points that exceed the temperature targets, an early warning is issued and the appropriate temperature control measures are suggested.

5. A method for temperature control of large-volume corrosion-resistant concrete at the confluence of a river and the sea, characterized in that, The method is as follows: Data on corrosion-resistant concrete collected during construction operations at the confluence of the river and the sea; The data information of the corrosion-resistant concrete is preprocessed and classified to obtain the processed data; The processed data is then used for calculations and temperature control. The calculation and temperature control of the processed data include: The ambient temperature T was selected. e Internal temperature T of corrosion-resistant concrete i External temperature T o Three state parameters, serving as key spatial dimension features influencing control actions, were used to perform multivariate temporal encoding on the data, resulting in the multivariate temporal state matrix B: Where n represents the number of measurement points, t is the sampling time, and T e (t) n ΔT represents the ambient temperature at time t at the nth measuring point. i (t) n ΔT represents the distance between the internal temperature of the state and the internal temperature of the target at time t at the nth measuring point. o (t) n This represents the distance between the external temperature of the state and the external temperature of the target at time t at the nth measuring point; The state matrix B is used as the basic element of the memory experience pool. After acquiring the data information, it is merged into a three-dimensional multivariate temporal state matrix, which is used as the input information of the model. Since different anti-corrosion concrete mix proportions have different heat releases, the anti-corrosion concrete mix proportion is used as a continuous space of control parameters. In each temperature control process, a current anti-corrosion concrete mix proportion is selected as the control command to be executed in the current state. During temperature control, the mixing ratio of return water and cold water is adjusted to obtain a mixed cooling water with a corresponding temperature for temperature control. This determines the control conditions for the large-volume corrosion-resistant concrete at the confluence of the river and the sea. T i (t)-T i (t-1)=c(t) Among them, T i To control the internal temperature of corrosion-resistant concrete, T m T is the temperature of the mixed water used for temperature control. o The external temperature of the corrosion-resistant concrete is represented by P, where P represents different measuring points, n represents the number of measuring points, and T represents the external temperature. i (t) represents the internal temperature at time t, T i (t-1) represents the internal temperature at time t-1, t represents the sampling time, a(t) represents the temperature difference between the highest internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) represents the internal and external temperature difference of the anti-corrosion concrete at time t, and c(t) represents the rate of change of the highest internal temperature of the anti-corrosion concrete at time t. The resulting temperature control algorithm is as follows: Where Y represents the output value of the control algorithm, representing the demand in the temperature control process; μ B This is a mapping of the state matrix B, where k, g, and f are user-defined probability values; The system provides early warnings for any abnormalities that occur during the temperature control process and displays the corresponding temperature control measures.

6. The method for temperature control of large-volume corrosion-resistant concrete at the confluence of a river and the sea according to claim 5, characterized in that, Data collected on corrosion-resistant concrete during construction at the confluence of the river and the sea includes ambient temperature, mix proportions, and temperature, with the temperature including both internal and external temperatures.

7. The method for temperature control of large-volume corrosion-resistant concrete at the confluence of a river and the sea according to claim 5, characterized in that, The data information of the corrosion-resistant concrete is preprocessed and classified to obtain processed data, including noise removal using adaptive filtering technology and classification.

8. The method for temperature control of large-volume corrosion-resistant concrete at the confluence of a river and the sea according to claim 5, characterized in that, Providing early warnings and displaying temperature control measures for abnormalities occurring during the temperature control process includes: Temperature control targets are preset, and temperature data are acquired, analyzed, and judged at various temperature measuring points of the anti-corrosion concrete. For measuring points that exceed the temperature targets, an early warning is issued and the appropriate temperature control measures are suggested.

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