Temperature control device and method for large-volume anti-corrosion concrete at junction of river and sea

Abstract

The invention discloses a temperature control device and method for large-volume anti-corrosion concrete at a river-sea intersection, and the method comprises the steps: collecting the data information of the anti-corrosion concrete during the construction operation at the river-sea intersection, carrying out the preprocessing and classification of the data information, obtaining the processed data, and carrying out the calculation and temperature control. And early warning is carried out on abnormities occurring in the temperature control process, and temperature control measures are displayed. The method considers that when engineering construction is carried out at the junction of rivers and seas, the internal and external temperature difference needs to be strictly controlled to prevent large-volume anti-corrosion concrete from cracking, key indexes are selected for comprehensive reasoning and calculation, meanwhile, in the temperature control process, the characteristics of the anti-corrosion concrete are considered to serve as control parameters for temperature control, the accuracy of temperature control is improved, and the working efficiency is improved. A set of intelligent and perfect large-volume anti-corrosion concrete water temperature control algorithm is formed, and personalized and intelligent temperature control is carried out according to the characteristics of the large-volume anti-corrosion concrete.

Description

Technical Field

[0001] The invention relates to the technical field of temperature control, and in particular to a temperature control device and method for large-volume corrosion-resistant concrete at a river-sea junction. Background Art

[0002] In engineering construction, the construction temperature of concrete is directly related to its compaction effect, adhesion and durability. If the temperature of concrete is too low, the adhesion is poor and compaction is difficult, which may cause problems such as cracking and falling off of the road surface during use; if the temperature is too high, the volatility of concrete increases, thus affecting the durability of the road surface. Therefore, controlling the concrete temperature during construction is the key to ensuring project quality.

[0003] When carrying out construction projects at the confluence of rivers and seas, due to the environmental characteristics of the confluence of rivers and seas, large-volume corrosion-resistant concrete is often used in construction operations. Large-volume corrosion-resistant concrete needs to be mixed with a variety of admixtures during the configuration process to enhance the concrete's resistance to sulfates, chloride ions, seepage, and cracking, so as to improve the concrete's corrosion resistance and durability. This makes the composition of the concrete complex. In the construction of large-volume concrete, strictly controlling the temperature difference between the inside and outside is the key to preventing cracks in large-volume concrete. Therefore, the construction temperature control of large-volume corrosion-resistant concrete faces greater challenges.

[0004] In the prior art, in order to avoid the occurrence of temperature shrinkage cracks, the temperature is usually controlled by adjusting the material ratio, pouring plan, using sand and gravel aggregates and pump trucks to spray water for cooling, adding ice to mixing water, etc., and most of them are for the temperature control of concrete during ordinary construction operations. However, in the special construction environment of the confluence of rivers and seas, it is impossible to perform personalized and intelligent temperature control based on the characteristics of large-volume corrosion-resistant concrete. Summary of the invention

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

[0006] The specific application is as follows:

[0007] A temperature control device for large-volume anti-corrosion concrete at the confluence of rivers and seas, characterized in that the device comprises: a data acquisition module for collecting data information of anti-corrosion concrete during construction work at the confluence of rivers and seas; a data processing module for preprocessing and classifying the data information of the anti-corrosion concrete to obtain processed data; a temperature control module for calculating and controlling the temperature of the processed data; and a control warning module for issuing warnings for abnormalities occurring during the temperature control process and displaying temperature control measures.

[0008] The data information collected during construction work at the confluence of the river and the sea includes environmental temperature information, the proportion of anti-corrosion concrete, and the temperature of the anti-corrosion concrete, wherein the temperature of the anti-corrosion concrete includes internal temperature and external temperature.

[0009] The data information of the anti-corrosion concrete is preprocessed and classified to obtain processed data, including eliminating noise from the data information using adaptive filtering technology and classifying the data information.

[0010] Calculating and temperature controlling the processed data includes:

[0011] The ambient temperature T e , Anti-corrosion concrete internal temperature T i , External temperature T o The three state parameters are used as key spatial dimension features that affect the control action. The data is multivariate time series encoded, and the obtained multivariate time series state matrix B is:

[0012]

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

[0014] The state matrix B is used as a basic element of the memory experience pool, and after acquiring data information, it is merged into a three-dimensional multivariable time series state matrix as input information of the model;

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

[0016] In the process of temperature control, the mixing ratio of return water and cold water is adjusted to obtain mixed cooling water of corresponding temperature for temperature control, so as to determine the control conditions of large volume anti-corrosion concrete at the junction of river and sea as follows:

[0017]

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

[0019] Among them, T i is the internal temperature of the corrosion-resistant concrete, T m is the mixed water temperature during temperature control, T o is the external temperature of the anti-corrosion concrete, P represents different measuring points, n represents the number of measuring points, T i (t) is the internal temperature at time t, T i (t-1) is the internal temperature at time t-1, t is the sampling time, a(t) is the temperature difference between the maximum internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) is the temperature difference between the inside and outside of the anti-corrosion concrete at time t, and c(t) is the rate of change of the maximum internal temperature of the anti-corrosion concrete at time t;

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

[0021]

[0022] Among them, Y represents the output value of the control algorithm, which represents the demand in the temperature control process; μ B is the mapping of the state matrix B, k, g, f are custom probability values.

[0023] The temperature control measures include: presetting temperature control indicators, acquiring, analyzing and judging the temperature data of each temperature measuring point of the corrosion-resistant concrete, issuing warnings for measuring points that exceed the temperature indicators and prompting the temperature control technical measures to be taken.

[0024] A temperature control method for large-volume anti-corrosion concrete at a river-sea junction is characterized in that the method comprises the following steps: collecting data information of the anti-corrosion concrete during construction work at the river-sea junction; preprocessing and classifying the data information of the anti-corrosion concrete to obtain processed data; calculating and temperature controlling the processed data; and giving early warnings for abnormalities occurring during the temperature control process and displaying temperature control measures.

[0025] The data information collected during construction work at the confluence of the river and the sea includes environmental temperature information, the proportion of anti-corrosion concrete, and the temperature of the anti-corrosion concrete, wherein the temperature of the anti-corrosion concrete includes internal temperature and external temperature.

[0026] The data information of the anti-corrosion concrete is preprocessed and classified to obtain processed data, including eliminating noise from the data information using adaptive filtering technology and classifying the data information.

[0027] Calculating and temperature controlling the processed data includes:

[0028] The ambient temperature T e , Anti-corrosion concrete internal temperature T i, External temperature T o The three state parameters are used as key spatial dimension features that affect the control action. The data is multivariate time series encoded, and the obtained multivariate time series state matrix B is:

[0029]

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

[0031] The state matrix B is used as a basic element of the memory experience pool, and after acquiring data information, it is merged into a three-dimensional multivariable time series state matrix as input information of the model;

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

[0033] In the process of temperature control, the mixing ratio of return water and cold water is adjusted to obtain mixed cooling water of corresponding temperature for temperature control, so as to determine the control conditions of large volume anti-corrosion concrete at the junction of river and sea as follows:

[0034]

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

[0036] Among them, T i is the internal temperature of the corrosion-resistant concrete, T m is the mixed water temperature during temperature control, T o is the external temperature of the anti-corrosion concrete, P represents different measuring points, n represents the number of measuring points, T i (t) is the internal temperature at time t, T i (t-1) is the internal temperature at time t-1, t is the sampling time, a(t) is the temperature difference between the maximum internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) is the temperature difference between the inside and outside of the anti-corrosion concrete at time t, and c(t) is the rate of change of the maximum internal temperature of the anti-corrosion concrete at time t;

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

[0038]

[0039] Among them, Y represents the output value of the control algorithm, which represents the demand in the temperature control process; μ B is the mapping of the state matrix B, k, g, f are custom probability values.

[0040] The temperature control measures include: presetting temperature control indicators, acquiring, analyzing and judging the temperature data of each temperature measuring point of the corrosion-resistant concrete, issuing warnings for measuring points that exceed the temperature indicators 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] The present invention provides a temperature control device and method for large-volume anti-corrosion concrete at the confluence of rivers and seas. It takes into account that when carrying out engineering construction at the confluence of rivers and seas, it is necessary to strictly control the temperature difference between the inside and outside to prevent cracks in large-volume concrete. Due to the environmental characteristics of the confluence of rivers and seas, large-volume anti-corrosion concrete is often used during construction. This application uses the ambient temperature, the internal temperature of the anti-corrosion concrete, and the external temperature as key parameters affecting the control action for comprehensive reasoning and calculation. At the same time, the characteristics of the anti-corrosion concrete are considered in the temperature control process, and the ratio of the anti-corrosion concrete is used as a control parameter for temperature control, forming a set of intelligent and complete large-volume anti-corrosion concrete temperature control algorithms, which improves the accuracy of temperature control; set display warning and temperature control measures prompt information, respond to abnormalities in the temperature control process in a timely manner, and complete personalized and intelligent temperature control based on the characteristics of large-volume anti-corrosion concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of a temperature control device for large-volume corrosion-resistant concrete at the junction of a river and a sea provided by an embodiment of the present invention;

[0044] Figure 2 It is a schematic diagram of early warning and temperature control measures prompt information;

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

[0046] Figure 4 The present invention is a schematic flow chart of a method for controlling the temperature of a large volume of corrosion-resistant concrete at a river-sea junction provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0048] Example 1

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

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

[0051] When carrying out engineering work at the confluence of rivers and seas, large-volume anti-corrosion concrete is usually used for construction. However, due to the large structural size and low thermal conductivity of large-volume concrete, the heat released by the hydration of cementitious materials is difficult to dissipate quickly, and the internal temperature will be very high, causing structural deformation and cracking. Therefore, the internal temperature of large-volume concrete must be monitored during construction. Due to its special geographical location at the confluence of rivers and seas, anti-corrosion concrete is usually used for construction. In order to improve the durability and corrosion resistance of concrete itself, it is necessary to mix a variety of admixtures, so that the anti-corrosion concrete has different mix parameters, and the ambient temperature during construction will also affect the construction process.

[0052] Therefore, during the construction process, by setting up multiple groups of temperature sensors, the data acquisition module collects data information of anti-corrosion concrete during construction operations at the confluence of rivers and seas, including ambient temperature information, the proportion of anti-corrosion concrete, and the temperature of anti-corrosion concrete, wherein the temperature of anti-corrosion concrete includes internal temperature and external temperature.

[0053] The mix parameters of corrosion-resistant concrete include water-cement ratio, unit water consumption, cementitious material dosage, respective dosages of slag powder, silica fume and cement, dosages of water reducer and air entraining agent, and sand ratio.

[0054] In order to improve the quality of data 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, including using adaptive filtering technology to eliminate noise from the data information, and classifies and stores the classified data.

[0055] The temperature control module calculates and controls the temperature of the processed data by: selecting the ambient temperature T e , Anti-corrosion concrete internal temperature T i , External temperature T o The three state parameters are used as key spatial dimension features that affect the control action. The data is multivariate time series encoded, and the obtained multivariate time series state matrix B is:

[0056]

[0057] Where n is the number of measurement points, t is the sampling time, Te (t) n Indicates the ambient temperature at time t at the nth measurement point, ΔT i (t) n Indicates the distance between the internal temperature at the nth measurement point and the target internal temperature at time t, ΔT o (t) n It indicates the distance between the external temperature at time t and the target external temperature at the nth measuring point;

[0058] The state matrix B is used as a basic element of the memory experience pool, and after acquiring data information, it is merged into a three-dimensional multivariable time series state matrix as input information of the model;

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

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

[0061] In the process of temperature control, the mixing ratio of return water and cold water is adjusted to obtain mixed cooling water of corresponding temperature for temperature control, so as to determine the control conditions of large volume anti-corrosion concrete at the junction of river and sea as follows:

[0062]

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

[0064] Among them, T i is the internal temperature of the corrosion-resistant concrete, T m is the mixed water temperature during temperature control, T o is the external temperature of the anti-corrosion concrete, P represents different measuring points, n represents the number of measuring points, T i (t) is the internal temperature at time t, T i (t-1) is the internal temperature at time t-1, t is the sampling time, a(t) is the temperature difference between the maximum internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) is the temperature difference between the inside and outside of the anti-corrosion concrete at time t, and c(t) is the rate of change of the maximum internal temperature of the anti-corrosion concrete at time t;

[0065] According to the large-volume concrete construction standard "GB 50496-2018", the temperature difference between the inside and outside of the concrete casting body shall not exceed 25°C; the maximum temperature rise of the concrete casting body should not be greater than 50°C (based on the temperature entering the mold); the concrete cooling rate shall not exceed 2.0°C / d. Usually, the large-volume concrete construction adopts the "inside cooling and outside protection" method to meet the standard requirements, that is, cooling water pipes are set inside to circulate water for cooling, and the outside is covered with an insulation layer. The control condition parameters of large-volume corrosion-resistant concrete are set according to actual construction needs.

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

[0067]

[0068] Among them, Y represents the output value of the control algorithm, which represents the demand in the temperature control process; μ B is the mapping of the state matrix B, k, g, f are custom probability values.

[0069] The control warning module warns of abnormalities that occur during the temperature control process and displays temperature control measures. According to the Technical Specification for Temperature Measurement and Control of Large Volume Concrete "GB / T51028-2015", after concrete pouring, the temperature is measured and recorded once every 15min to 60min. When the cooling rate or the temperature difference between the inside and outside exceeds the specified value, an alarm should be automatically issued, and the temperature control measures should be adjusted and optimized in a timely manner.

[0070] like Figure 2 As shown, the specific warning information displayed includes the location of the temperature measuring point and the measures to be taken after exceeding the standard. The specific standards are the temperature control index control value and temperature control technical measures, including the control value of the maximum temperature inside the concrete ≤70℃, and the measure is to reduce the cooling circulating water temperature; the control value of the temperature difference between the inner and outer surfaces of the concrete ≤25℃, and the measure is to cover the concrete surface with insulation and reduce the cooling circulating water temperature; the control value of the concrete cooling rate ≤2℃ / d, and the measure is to stop the cooling circulating water and cover the concrete surface with insulation; the control value of the maximum temperature difference between the concrete and the cooling water ≤25℃, and the measure is to increase the cooling circulating water temperature; the control value of the minimum temperature difference between the concrete and the cooling water ≥15℃, and the measure is to reduce the cooling circulating water temperature; the control value of the temperature difference between the concrete surface and the environment ≤15℃, and the measure is to postpone the demolding 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 ratio information of the anti-corrosion concrete through multiple groups 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 of corresponding temperature, which is introduced into the internal pipeline of the concrete for temperature control. Multiple groups 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 adjusting the temperature of the mixed water. When the cooling rate or the temperature difference between the inside and outside exceeds the specified value, an alarm is automatically triggered, and warning information and temperature control measures are displayed on the monitor.

[0072] The embodiment of the present invention provides a method for controlling the temperature of a large volume of corrosion-resistant concrete at a river-sea junction, such as Figure 4 As shown, the method is: collecting data information of corrosion-resistant concrete during construction work at the junction of the river and the sea; preprocessing and classifying the data information of the corrosion-resistant concrete to obtain processed data; calculating and temperature controlling the processed data; and giving early warning for abnormalities occurring during the temperature control process and displaying temperature control measures.

[0073] The data information collected during construction work at the confluence of the river and the sea includes environmental temperature information, the proportion of anti-corrosion concrete, and the temperature of the anti-corrosion concrete, wherein the temperature of the anti-corrosion concrete includes internal temperature and external temperature.

[0074] The data information of the anti-corrosion concrete is preprocessed and classified to obtain processed data, including eliminating noise from the data information using adaptive filtering technology and classifying the data information.

[0075] Calculating and temperature controlling the processed data includes:

[0076] The ambient temperature T e , Anti-corrosion concrete internal temperature T i , External temperature T o The three state parameters are used as key spatial dimension features that affect the control action. The data is multivariate time series encoded, and the obtained multivariate time series state matrix B is:

[0077]

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

[0079] The state matrix B is used as a basic element of the memory experience pool, and after acquiring data information, it is merged into a three-dimensional multivariable time series state matrix as input information of the model;

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

[0081] In the process of temperature control, the mixing ratio of return water and cold water is adjusted to obtain mixed cooling water of corresponding temperature for temperature control, so as to determine the control conditions of large volume anti-corrosion concrete at the junction of river and sea as follows:

[0082]

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

[0084] Among them, T i is the internal temperature of the corrosion-resistant concrete, T m is the mixed water temperature during temperature control, T o is the external temperature of the anti-corrosion concrete, P represents different measuring points, n represents the number of measuring points, T i (t) is the internal temperature at time t, T i (t-1) is the internal temperature at time t-1, t is the sampling time, a(t) is the temperature difference between the maximum internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) is the temperature difference between the inside and outside of the anti-corrosion concrete at time t, and c(t) is the rate of change of the maximum internal temperature of the anti-corrosion concrete at time t;

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

[0086]

[0087] Among them, Y represents the output value of the control algorithm, which represents the demand in the temperature control process; μ B is the mapping of the state matrix B, k, g, f are custom probability values.

[0088] The temperature control measures include: presetting temperature control indicators, acquiring, analyzing and judging the temperature data of each temperature measuring point of the corrosion-resistant concrete, issuing warnings for measuring points that exceed the temperature indicators and prompting the temperature control technical measures to be taken.

[0089] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0090] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those explicitly recited in each claim. More specifically, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Therefore, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, with each claim itself serving as a separate embodiment of the present invention.

[0091] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0092] In addition, those skilled in the art will appreciate that, although some embodiments herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims below, any one of the claimed embodiments may be used in any combination.

Claims

1. A temperature control device for large volume corrosion resistant concrete at the junction of river and sea, characterized in that: The device includes: Data collection module, which collects data information of anti-corrosion concrete during construction work at the confluence of rivers and seas; A data processing module pre-processes and classifies the data information of the anti-corrosion concrete to obtain processed data; A temperature control module, which performs calculation and temperature control on the processed data; The control early warning module warns of abnormalities occurring during the temperature control process and displays temperature control measures.

2. The temperature control device for large volume corrosion resistant concrete at the junction of river and sea according to claim 1 is characterized in that: The data information collected when carrying out construction work at the junction of the river and the sea includes environmental temperature information, the proportion of the anti-corrosion concrete, and the temperature of the anti-corrosion concrete, wherein the temperature of the anti-corrosion concrete includes internal temperature and external temperature.

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

4. The temperature control device for large volume corrosion resistant concrete at the junction of river and sea according to claim 1 is characterized in that: Calculating and temperature controlling the processed data includes: The ambient temperature T e , Anti-corrosion concrete internal temperature T i , External temperature T o The three state parameters are used as key spatial dimension features that affect the control action. The data is multivariate time series encoded, and the obtained multivariate time series state matrix B is: Where n is the number of measurement points, t is the sampling time, T e (t) n Indicates the ambient temperature at time t at the nth measurement point, ΔT i (t) n Indicates the distance between the state internal temperature and the target internal temperature at time t at the nth measurement point, ΔT o (t) n Indicates the distance between the state external temperature at time t and the target external temperature at the nth measuring point; The state matrix B is used as a basic element of the memory experience pool, and after acquiring data information, it is merged into a three-dimensional multivariable time series state matrix as input information of the model; Since different anti-corrosion concrete ratios have different heat release, the anti-corrosion concrete ratio is used as a continuous space of control parameters. In each temperature control process, a current anti-corrosion concrete ratio is selected as a control command to be executed in the current state; In the process of temperature control, the mixing ratio of return water and cold water is adjusted to obtain mixed cooling water of corresponding temperature for temperature control, so as to determine the control conditions of large volume anti-corrosion concrete at the junction of river and sea as follows: T i (t)-T i (t-1)=c(t) Among them, T i is the internal temperature of the corrosion-resistant concrete, T m is the mixed water temperature during temperature control, T o is the external temperature of the anti-corrosion concrete, P represents different measuring points, n represents the number of measuring points, T i (t) is the internal temperature at time t, T i (t-1) is the internal temperature at time t-1, t is the sampling time, a(t) is the temperature difference between the maximum internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) is the temperature difference between the inside and outside of the anti-corrosion concrete at time t, and c(t) is the rate of change of the maximum internal temperature of the anti-corrosion concrete at time t; The temperature control algorithm is obtained as follows: Among them, Y represents the output value of the control algorithm, which represents the demand in the temperature control process; μ B is the mapping of the state matrix B, k, g, f are custom probability values.

5. The temperature control device for large volume corrosion resistant concrete at the junction of river and sea according to claim 1 is characterized in that: The temperature control measures include: The temperature control index is set in advance, and the temperature data of each temperature measuring point of the corrosion-resistant concrete is acquired, analyzed and judged. For the measuring points exceeding the temperature index, an early warning is issued and the temperature control technical measures to be taken are prompted.

6. A method for controlling the temperature of large-volume anti-corrosion concrete at the junction of rivers and seas, characterized in that: The method is: Collect data information on corrosion-resistant concrete during construction work at the confluence of rivers and seas; Preprocessing and classifying the data information of the corrosion-resistant concrete to obtain processed data; performing calculation and temperature control on the processed data; An abnormality occurring during the temperature control process is warned and temperature control measures are displayed.

7. A temperature control method for large volume anti-corrosion concrete at the junction of river and sea according to claim 6, characterized in that: The data information collected when carrying out construction work at the junction of the river and the sea includes environmental temperature information, the proportion of the anti-corrosion concrete, and the temperature of the anti-corrosion concrete, wherein the temperature of the anti-corrosion concrete includes internal temperature and external temperature.

8. The temperature control method of large volume anti-corrosion concrete at the junction of river and sea according to claim 6 is characterized in that: The data information of the anti-corrosion concrete is preprocessed and classified to obtain processed data, including eliminating noise from the data information using adaptive filtering technology and classifying the data information.

9. A temperature control method for large volume anti-corrosion concrete at the junction of river and sea according to claim 6, characterized in that: Calculating and temperature controlling the processed data includes: The ambient temperature T e , Anti-corrosion concrete internal temperature T i , External temperature T o The three state parameters are used as key spatial dimension features that affect the control action. The data is multivariate time series encoded, and the obtained multivariate time series state matrix B is: Where n is the number of measurement points, t is the sampling time, T e (t) n Indicates the ambient temperature at time t at the nth measurement point, ΔT i (t) n Indicates the distance between the state internal temperature and the target internal temperature at time t at the nth measurement point, ΔT o (t) n Indicates the distance between the state external temperature at time t and the target external temperature at the nth measuring point; The state matrix B is used as a basic element of the memory experience pool, and after acquiring data information, it is merged into a three-dimensional multivariable time series state matrix as input information of the model; Since different anti-corrosion concrete ratios have different heat release, the anti-corrosion concrete ratio is used as a continuous space of control parameters. In each temperature control process, a current anti-corrosion concrete ratio is selected as a control command to be executed in the current state; In the process of temperature control, the mixing ratio of return water and cold water is adjusted to obtain mixed cooling water of corresponding temperature for temperature control, so as to determine the control conditions of large volume anti-corrosion concrete at the junction of river and sea as follows: T i (t)-T i (t-1)=c(t) Among them, T i is the internal temperature of the corrosion-resistant concrete, T m is the mixed water temperature during temperature control, T o is the external temperature of the anti-corrosion concrete, P represents different measuring points, n represents the number of measuring points, T i (t) is the internal temperature at time t, T i (t-1) is the internal temperature at time t-1, t is the sampling time, a(t) is the temperature difference between the maximum internal temperature of the anti-corrosion concrete at time t and the temperature of the mixed water, b(t) is the temperature difference between the inside and outside of the anti-corrosion concrete at time t, and c(t) is the rate of change of the maximum internal temperature of the anti-corrosion concrete at time t; The temperature control algorithm is obtained as follows: Among them, Y represents the output value of the control algorithm, which represents the demand in the temperature control process; μ B is the mapping of the state matrix B, k, g, f are custom probability values.

10. A method for controlling temperature of large volume anti-corrosion concrete at the junction of river and sea according to claim 6, characterized in that: The temperature control measures include: The temperature control index is set in advance, and the temperature data of each temperature measuring point of the corrosion-resistant concrete is acquired, analyzed and judged. For the measuring points exceeding the temperature index, an early warning is issued and the temperature control technical measures to be taken are prompted.

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