A three-dimensional temperature field reconstruction method, device, equipment and medium for concrete dam

Abstract

The present application relates to the technical field of concrete dams, and mainly to a method, device, equipment and medium for reconstructing a three-dimensional temperature field of a concrete dam, including determining the number and spatial coordinates of temperature monitoring instruments buried in the concrete dam according to the number of measurement points and the distribution of measurement points of the concrete dam temperature; the number of measurement points is determined according to the total volume of concrete in the concrete dam body; the distribution of measurement points is uniformly randomly distributed; temperature monitoring instruments are buried in the concrete dam according to the number and the spatial coordinates; the three-dimensional temperature field of the concrete dam is reconstructed according to data collected by the temperature monitoring instruments, and measurement points are arranged based on the number of measurement points and the distribution of measurement points, thereby effectively avoiding the problem of reduced accuracy of three-dimensional temperature field reconstruction caused by too few training data sets and uneven distribution of measurement points, and improving the accuracy of three-dimensional temperature field reconstruction of the concrete dam.

Description

Technical Field

[0001] The present application relates to the technical field of concrete dams, and mainly to a method, device, equipment and medium for reconstructing a three-dimensional temperature field of a concrete dam. Background Art

[0002] During the construction of concrete dams, a large number of temperature monitoring instruments are buried inside and near the surface of the dam body. On the one hand, they are used for temperature monitoring and temperature control during the dam construction period, and on the other hand, they are used for structural health monitoring during the dam operation period. During the operation period of the concrete dam, the structural safety of the dam needs to be evaluated regularly to ensure the safe operation of the dam. In the structural safety evaluation of concrete dams, it is necessary to consider the stress and deformation caused by the temperature change of the dam, which requires analysis and calculation based on the temperature monitoring data of the dam prototype. The spatial information and temperature measurement data of all temperature monitoring instruments buried inside the dam are used to reconstruct the overall temperature field of the dam, and then the overall temperature change process of the dam is obtained, which can realize the accurate calculation of the temperature stress and deformation of the dam body.

[0003] The reconstruction of the three-dimensional temperature field of concrete dams can be achieved by a variety of methods. Traditional methods include inverse distance weighted interpolation and Kriging interpolation, but these methods have problems such as low interpolation accuracy or complex calculations. In recent years, with the development of computer technology and algorithms, more advanced methods such as Kriging proxy model and Particle Swarm Optimization (PSO) algorithm have been applied to the reconstruction of the three-dimensional temperature field of concrete dams. These methods improve the accuracy and efficiency of temperature field reconstruction by optimizing algorithms and proxy models.

[0004] However, based on the Kriging proxy model and particle swarm optimization (PSO) algorithm, the three-dimensional temperature field of the concrete dam is reconstructed using temperature monitoring data. The accuracy of the reconstructed temperature field is greatly affected by the distribution and number of temperature measurement points. When there are fewer measurement points, the training set required for calculation is too small, and the temperature field reconstruction accuracy is low. When the total number of measurement points is large, but the local measurement points are clustered, the temperature field reconstruction accuracy is also difficult to meet the requirements. Therefore, it is a difficult problem to determine the reasonable number and distribution of dam temperature measurement points to ensure the accuracy of the three-dimensional temperature field reconstruction of the concrete dam. Summary of the invention

[0005] One of the purposes of this application is to propose a method for reconstructing the three-dimensional temperature field of a concrete dam to solve or at least partially solve the problems in the related art. The second purpose of this application is to provide a three-dimensional temperature field reconstruction device for a concrete dam, the third purpose of this application is to provide an electronic device, and the fourth purpose of this application is to provide a medium.

[0006] In order to achieve the above purpose, the technical solution of this application is as follows:

[0007] A three-dimensional temperature field reconstruction method for a concrete dam, the method comprising:

[0008] According to the number of measuring points and the distribution of measuring points of the concrete dam temperature, the number and spatial coordinates of the temperature monitoring instruments buried in the concrete dam are determined; the number of measuring points is determined according to the total volume of concrete in the concrete dam body; the distribution of measuring points is uniform and random distribution;

[0009] Burying temperature monitoring instruments in the concrete dam according to the number and the spatial coordinates;

[0010] The three-dimensional temperature field of the concrete dam is reconstructed according to the data collected by the temperature monitoring instrument.

[0011] Optionally, determining the number and spatial coordinates of temperature monitoring instruments buried in the concrete dam according to the number and distribution conditions of the measurement points of the concrete dam temperature includes:

[0012] According to the design drawings of the concrete dam and the requirements for the deployment of boundary measurement points, determine the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam;

[0013] When the initial number and the initial spatial coordinates satisfy the measuring point number condition and the measuring point distribution condition, determining the final number and the final spatial coordinates of the temperature monitoring instruments;

[0014] Among them, the requirements for the deployment of boundary measuring points include: placing temperature monitoring instruments within the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, within the area 5 to 10 cm vertically inward from the downstream dam surface, within the area 10 cm vertically downward from the top of the dam, within the area 10 cm vertically inward from the surface of the dam body orifice, within the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and within the area 5 to 10 cm vertically upward from the foundation surface.

[0015] Optionally, determining the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the design drawings of the concrete dam and the requirements for the deployment of boundary measurement points includes:

[0016] Determine the total volume of concrete for the dam body according to the design drawings of the concrete dam;

[0017] Determine a first quantity according to the total volume; the first quantity is the minimum quantity of temperature monitoring instruments in the concrete dam;

[0018] According to the boundary measurement point deployment requirements, the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam are determined; the initial number is greater than the first number.

[0019] Optionally, the method further includes:

[0020] According to the initial spatial coordinates, detecting whether the temperature measurement point meets the measurement point distribution condition; one temperature measurement point corresponds to one temperature monitoring instrument;

[0021] When the temperature measurement points do not meet the measurement point distribution condition, the maximum and minimum adjacent distances of the temperature measurement points are adjusted and / or temperature measurement points are added between the temperature measurement points with the largest adjacent distances until the temperature measurement points meet the measurement point distribution condition.

[0022] Optionally, burying temperature monitoring instruments in the concrete dam according to the quantity and the spatial coordinates includes:

[0023] According to the final quantity and the final spatial coordinates, thermometers are arranged in the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, 5 to 10 cm vertically inward from the downstream dam surface, 10 cm vertically downward from the top of the dam, 10 cm vertically inward from the surface of the dam body orifice, 5 to 10 cm vertically inward from the surface of the dam body corridor, and 5 to 10 cm vertically upward from the foundation surface.

[0024] Optionally, the method further includes:

[0025] An optical fiber sensor is buried in the middle dam section of the riverbed of the concrete dam to measure the real-time change of water temperature along the water depth; an optical fiber sensor is buried vertically on the upstream surface of all casting bins below the upstream highest water level of the dam section, and an optical fiber sensor is buried vertically on the downstream surface of all casting bins below the downstream highest water level of the dam section; the optical fiber sensor is used to collect real-time water temperature data and water depth data to determine the real-time change of water temperature along the water depth;

[0026] According to the real-time changes, the temperature data of the upstream dam surface and the downstream dam surface below the water surface are determined.

[0027] Optionally, reconstructing the three-dimensional temperature field of the concrete dam according to the data collected by the temperature monitoring instrument includes:

[0028] The concrete dam temperature data collected by the temperature monitoring instrument is used to reconstruct the three-dimensional temperature field of the concrete dam using a Kriging proxy model and a particle swarm optimization algorithm.

[0029] A three-dimensional temperature field reconstruction device for a concrete dam, the device comprising:

[0030] A determination module is used to determine the number and spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the number of measurement points and the distribution of measurement points of the concrete dam temperature; the number of measurement points is determined according to the total volume of concrete in the concrete dam body; the distribution of measurement points is uniform and random distribution;

[0031] A laying module, used for burying temperature monitoring instruments in the concrete dam according to the quantity and the spatial coordinates;

[0032] The reconstruction module is used to reconstruct the three-dimensional temperature field of the concrete dam according to the data collected by the temperature monitoring instrument.

[0033] Optionally, the determining module includes:

[0034] The first determination module is used to determine the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the design drawings of the concrete dam and the deployment requirements of the boundary measurement points;

[0035] A second determination module is used to determine the final number and final spatial coordinates of the temperature monitoring instruments when the initial number and initial spatial coordinates meet the measurement point number condition and the measurement point distribution condition;

[0036] Among them, the requirements for the deployment of boundary measuring points include: placing temperature monitoring instruments within the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, within the area 5 to 10 cm vertically inward from the downstream dam surface, within the area 10 cm vertically downward from the top of the dam, within the area 10 cm vertically inward from the surface of the dam body orifice, within the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and within the area 5 to 10 cm vertically upward from the foundation surface.

[0037] Optionally, the first determining module includes:

[0038] The first submodule is used to determine the total volume of concrete of the concrete dam body according to the design drawings of the concrete dam;

[0039] The first determines the second submodule, which is used to determine a first quantity according to the total volume; the first quantity is the minimum quantity of temperature monitoring instruments in the concrete dam;

[0040] The third submodule is first determined, and is used to determine the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the boundary measurement point deployment requirements; the initial number is greater than the first number.

[0041] Optionally, the device further comprises:

[0042] A detection module, used to detect whether the temperature measurement point meets the measurement point distribution condition according to the initial space coordinates; one temperature measurement point corresponds to one temperature monitoring instrument;

[0043] The adjustment module is used to adjust the maximum and minimum adjacent distances of the temperature measurement points and / or add temperature measurement points between the temperature measurement points with the largest adjacent distances when the temperature measurement points do not meet the measurement point distribution conditions, until the temperature measurement points meet the measurement point distribution conditions.

[0044] Optionally, the deployment module includes:

[0045] The layout module submodule is used to lay out thermometers in the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, in the area 5 to 10 cm vertically inward from the downstream dam surface, in the area 10 cm vertically downward from the top of the dam, in the area 10 cm vertically inward from the surface of the dam body orifice, in the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and in the area 5 to 10 cm vertically upward from the foundation surface, according to the final number and the final spatial coordinates.

[0046] Optionally, the device further comprises:

[0047] The optical fiber sensor deployment module is used to bury optical fiber sensors in the middle dam section of the riverbed of the concrete dam to measure the real-time change of water temperature along the water depth; the optical fiber sensors are vertically buried on the upstream surface of all casting bins below the upstream highest water level of the dam section, and the optical fiber sensors are vertically buried on the downstream surface of all casting bins below the downstream highest water level of the dam section; the optical fiber sensors are used to collect real-time water temperature data and water depth data to determine the real-time change of water temperature along the water depth;

[0048] The third determination module is used to determine the temperature data of the upstream dam surface and the downstream dam surface below the water surface according to the real-time changes.

[0049] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned three-dimensional temperature field reconstruction method of a concrete dam when executing the computer program.

[0050] A non-volatile storage medium stores a computer program, which, when executed by a processor, implements the three-dimensional temperature field reconstruction method of a concrete dam as described above.

[0051] Beneficial effects of this application:

[0052] In the present application, the number and spatial coordinates of temperature monitoring instruments buried in the concrete dam are determined according to the number of measuring points and the distribution of measuring points of the concrete dam temperature; the number of measuring points is determined according to the total volume of concrete in the concrete dam body; the distribution of measuring points is a uniform random distribution; temperature monitoring instruments are buried in the concrete dam according to the number and the spatial coordinates; the three-dimensional temperature field of the concrete dam is reconstructed according to the data collected by the temperature monitoring instruments, and the measuring points are arranged based on the number of measuring points and the distribution of measuring points, which effectively avoids the problem of reduced accuracy of three-dimensional temperature field reconstruction caused by too few training data sets and uneven distribution of measuring points, and improves the accuracy of three-dimensional temperature field reconstruction of the concrete dam. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0054] Figure 1 is a flow chart of a method for reconstructing a three-dimensional temperature field of a concrete dam described in an embodiment of the present application;

[0055] Figure 2 It is a schematic diagram of the framework of a three-dimensional temperature field reconstruction device for a concrete dam in one embodiment of the present application;

[0056] Figure 3 It is a schematic diagram of an electronic device described in an embodiment of the present application.

[0057] Among them, 200 is a three-dimensional temperature field reconstruction device for concrete dams, 201 is a determination module, 202 is a layout module, 203 is a reconstruction module, 301 is a processor, and 302 is a memory. DETAILED DESCRIPTION

[0058] The following will describe the implementation methods of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific implementation methods, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, not for limiting the scope of protection of the present application.

[0059] The core technical concept of this application is to improve the accuracy of reconstructing the three-dimensional temperature field of the dam using the Kriging proxy model and particle swarm optimization (PSO) algorithm by specifying the number and distribution of concrete dam temperature monitoring instruments.

[0060] Specifically, refer to Figure 1 , Figure 1 FIG. 1 is a flow chart of a method for reconstructing the three-dimensional temperature field of a concrete dam in an embodiment of the present application. Figure 1 As shown, in one embodiment of the present application, the three-dimensional temperature field reconstruction method of the concrete dam can be specifically performed according to the following steps:

[0061] Step S101, determining the number and spatial coordinates of temperature monitoring instruments buried in the concrete dam according to the number and distribution conditions of the measurement points of the concrete dam temperature.

[0062] The measuring point quantity condition is determined according to the total volume of concrete in the concrete dam body; and the measuring point distribution condition is uniform random distribution.

[0063] Specifically, the number of measuring points is determined based on the total concrete volume of the concrete dam. In this application, the number of measuring points can refer to the following expression:

[0064]

[0065] Expression 1

[0066] In Expression 1, is the distribution density of temperature measurement points within unit concrete cubic meter (volume); is the number of temperature measurement points, V is the total volume of concrete in the concrete dam body (m 3 ). One temperature measurement point corresponds to one temperature monitoring instrument.

[0067] That is, in this application, the minimum number of measuring points that should be arranged in the concrete dam can be determined based on the number of cubic meters of concrete in the concrete dam, thereby avoiding the problem of low accuracy of three-dimensional temperature field reconstruction caused by too few sample set data obtained due to too few measuring points.

[0068] Secondly, based on the statistical principle, the nearest neighbor distance method is used to evaluate whether the spatial coordinates of the temperature measurement points of the concrete dam meet the uniform random distribution. Specifically, the distribution conditions of the measurement points are as follows:

[0069] For a set of measuring points , each measuring point The spatial coordinates are For each measuring point , which is related to another measuring point Nearest neighbor distance for

[0070]

[0071] (Expression 2)

[0072] Calculate the nearest neighbor distance of all measured points For different distance thresholds , count all nearest neighbor distances The number of measurement points and their proportion are calculated to construct the empirical distribution function, that is,

[0073] (Expression 3)

[0074] In the formula is the cumulative distribution function, and P is the probability mass function.

[0075] Construct a theoretical distribution function, assuming that all measurement points are uniformly randomly distributed in a given area. In three-dimensional space, theoretically, the probability that the nearest neighbor distance of any measurement point is less than or equal to r is for

[0076] (Expression 4)

[0077] In the formula See expression 1, exp is an exponential function with real number e as base, is a probability function.

[0078] Use the single-sample Kolmogorov-Smirnov test (KS test) to evaluate whether the distribution of the measured points satisfies the uniform random distribution. First, compare and find the maximum difference between the empirical distribution function and the theoretical distribution function. ,Right now

[0079] (Expression 5)

[0080] Query the Kolmogorov-Smirnov D critical value table and obtain the sample size When the significance level is 90%, Value. When , the distribution of the measurement point X is considered to satisfy the uniform random distribution.

[0081] To find the maximum difference , can be made .

[0082] Thus, according to the measurement point quantity condition and the measurement point distribution condition, the quantity and three-dimensional spatial coordinates of the temperature monitoring instruments in the concrete dam can be determined. Then, according to the determined quantity and spatial coordinates, the temperature monitoring instruments are installed in the concrete dam, that is, step S102 is executed.

[0083] Step S102: deploy temperature monitoring instruments in the concrete dam according to the quantity and spatial coordinates.

[0084] Specifically, during the construction phase of a concrete dam, temperature monitoring instruments can be deployed at corresponding locations in the concrete dam according to the number and spatial coordinates of the temperature monitoring instruments of the concrete dam to collect temperature data and provide sample data for the reconstruction of the three-dimensional temperature field of the concrete dam.

[0085] Step S103: reconstructing the three-dimensional temperature field of the concrete dam according to the data collected by the temperature monitoring instrument.

[0086] Specifically, based on the spatial coordinates of each temperature monitoring instrument and the temperature data collected by each instrument, a temperature sample data set for temperature field reconstruction can be generated. After the particle swarm optimization algorithm, the parameter values ​​of the preset Kriging proxy model are obtained. The parameter values ​​are substituted into the preset Kriging proxy model to obtain the final target Kriging proxy model. Then, the three-dimensional temperature field of the concrete dam is reconstructed based on the target Kriging proxy model.

[0087] In this embodiment, the number and spatial coordinates of temperature monitoring instruments buried in the concrete dam are determined according to the number of measuring points and the distribution of measuring points of the concrete dam temperature; the number of measuring points is determined according to the total volume of concrete in the concrete dam body; the distribution of measuring points is uniform random distribution; temperature monitoring instruments are buried in the concrete dam according to the number and the spatial coordinates; the three-dimensional temperature field of the concrete dam is reconstructed according to the data collected by the temperature monitoring instruments, and the measuring points are arranged based on the number of measuring points and the distribution of measuring points, which effectively avoids the problem of reduced accuracy of three-dimensional temperature field reconstruction caused by too few training data sets and uneven distribution of measuring points, and improves the accuracy of three-dimensional temperature field reconstruction of the concrete dam.

[0088] In a feasible implementation manner, step S103, reconstructing the three-dimensional temperature field of the concrete dam according to the data collected by the temperature monitoring instrument, includes:

[0089] The concrete dam temperature data collected by the temperature monitoring instrument is used to reconstruct the three-dimensional temperature field of the concrete dam using a Kriging proxy model and a particle swarm optimization algorithm.

[0090] Specifically, in this implementation, the Kriging proxy model and the particle swarm optimization algorithm principle are described as follows:

[0091] (1) Kriging proxy model

[0092] Including importance parameters in Kriging proxy models and the smoothness parameter ,right The space coordinates are point ( , , ) respectively correspond to the points The temperature value is the coordinate (x, y, z) in the Cartesian coordinate system. , For point , assuming its temperature The mean is , the variance is Normal distribution. For any two points and , its temperature value and The correlation between them can be expressed as

[0093]

[0094] Formula a.1

[0095] Correlation Matrix Expressed as

[0096]

[0097] Formula a.2

[0098] The temperature values ​​at n points can be represented by random vectors as

[0099]

[0100] Formula a.3

[0101] Its covariance matrix is ​​equal to

[0102]

[0103] Formula a.4

[0104] The distribution of and variance , and parameters and , the mean can be determined by the maximum likelihood method based on temperature monitoring data and variance The monitored temperature value can be expressed as a vector.

[0105]

[0106] Formula a.5

[0107] The natural logarithm of the likelihood function, ignoring the constant term, is

[0108]

[0109] Formula a.6

[0110] To obtain the maximum value of formula a.6, formula a.6 is respectively and Find the partial derivatives, make the derivatives equal to 0, and get and The optimal value available Expressed as

[0111]

[0112] Formula a.7

[0113]

[0114] Formula a.8

[0115] When you need to predict a new point When the temperature value is ,Will As the new temperature monitoring data, at this time, the monitored temperature value can be expressed as a vector:

[0116]

[0117] Formula a.9

[0118] and The temperature values ​​are expressed as and , the correlation vector is

[0119]

[0120] Formula a.10

[0121] At this time, the correlation matrix is

[0122]

[0123] Formula a.11

[0124] The natural logarithm of the maximum likelihood function ignores the constant term and is similar to equation a.6, except that the third term is Related to, expressed as

[0125]

[0126] Formula a.12

[0127] Substituting equation a.9 and equation a.11 into equation a.12, we get

[0128]

[0129] Formula a.13

[0130] In the formula, To not contain The terms of formula a.13 are Take the derivative and make it 0, calculate the point The temperature value is

[0131]

[0132] Formula a.14

[0133] In formula a.14 , and Both with parameters and Related, can be determined by particle swarm optimization algorithm and The value of .

[0134] (2) Particle Swarm Optimization Algorithm

[0135] Taking the maximum value of the likelihood function as the goal, determine the global optimal position of the particle swarm. Assume that the particle swarm has Particles, The position of a particle is

[0136] ,

[0137] Formula a.15

[0138] Corresponding to Parameters of particles and . and The value ranges are and .

[0139] The number of particles is

[0140]

[0141] Formula a.16

[0142] To analyze the dimension of the problem, that is, the number of particle parameters, in this problem, ,therefore, .

[0143] Substituting equations a.7 and a.8 into equation a.6, we get the expression of the maximum likelihood function, which we can use as the objective function after ignoring the constant term. , the objective function is expressed as

[0144]

[0145] Formula a.17

[0146] The algorithm flow is:

[0147] ① Randomly initialize a set of particles in the search space (the range of parameter values) The position and velocity of The position of each particle is expressed by equation a.15. The speed of a particle is

[0148] ,

[0149] Formula a.18

[0150] ② Calculate the objective function value of each particle and find the historical optimal position of each particle and the optimal position of the particle swarm. The position corresponding to the maximum value of the objective function of each particle is the historical optimal position of each particle; the position corresponding to the maximum value of the objective function in the particle swarm is the optimal position of the particle swarm.

[0151] No. The best historical position of a particle Expressed as

[0152] ,

[0153] Formula a.19

[0154] Optimal position of particle swarm Expressed as

[0155] ,

[0156] Formula a.20

[0157] ③ Change the position and speed of the particle swarm to make it move towards the optimal position of the particle swarm. At the iteration, The velocity and position of a particle are expressed as

[0158]

[0159] Formula a.21

[0160]

[0161] Formula a.22

[0162] In formula a.21 is the inertia weight factor; and is the acceleration constant; and is a random vector whose elements are uniformly distributed in [0,1]. It is the vector dot product operation.

[0163] ④ Update the position of each particle, calculate the objective function of each particle, and update the historical optimal position of each particle and the optimal position of the particle swarm, that is,

[0164] ,

[0165] Formula a.23

[0166]

[0167] Formula a.24

[0168] ⑤ Repeat steps ③ and ④ until the iteration converges or reaches the preset maximum number of iterations, and the final particle swarm optimal position The elements of and The optimal value of .

[0169] Therefore, the parameters obtained by the particle swarm optimization algorithm can be substituted into the preset Kriging proxy model to obtain the target Kriging proxy model, and then the three-dimensional temperature field of the concrete dam can be reconstructed.

[0170] In a feasible implementation manner, the above step is S101, determining the number and spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the number and distribution conditions of the measurement points of the concrete dam temperature; specifically, it may include the following steps:

[0171] Step S1011, determining the initial number and initial spatial coordinates of temperature monitoring instruments buried in the concrete dam according to the design drawings of the concrete dam and the requirements for the deployment of boundary measurement points;

[0172] Among them, the requirements for the deployment of boundary measuring points include: placing temperature monitoring instruments within the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, within the area 5 to 10 cm vertically inward from the downstream dam surface, within the area 10 cm vertically downward from the top of the dam, within the area 10 cm vertically inward from the surface of the dam body orifice, within the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and within the area 5 to 10 cm vertically upward from the foundation surface.

[0173] Specifically, after experimental research by the applicant, the results show that the reconstruction of the three-dimensional temperature field of the concrete dam is significantly affected by the temperature near the boundary. Therefore, the layout of temperature measuring points should take into account the temperature changes near the boundary. The boundaries of the concrete dam mainly include the upstream dam surface, the downstream dam surface, the top surface of the dam, the dam body orifice, the dam body corridor, and the foundation surface. In addition to the temperature monitoring instruments arranged at the center of the dam body, temperature monitoring instruments are also required to be arranged near the boundary surface of the concrete dam. Therefore, when determining the number and spatial coordinates of the temperature monitoring instruments to be arranged in the concrete dam, firstly, according to the design drawings of the concrete dam and the deployment conditions of the boundary measuring points, the temperature monitoring instruments are arranged near the boundary surface of the concrete dam, and then combined with the temperature monitoring instruments arranged at the center of the dam body, so as to obtain the initial number and initial spatial coordinates of the temperature monitoring instruments.

[0174] In a feasible implementation manner, the above step S1011, according to the design drawings of the concrete dam and the requirements for the deployment of boundary measurement points, determines the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam; specifically, it may include:

[0175] Determine the total volume of concrete for the dam body according to the design drawings of the concrete dam;

[0176] Determine a first quantity according to the total volume; the first quantity is the minimum quantity of temperature monitoring instruments in the concrete dam;

[0177] According to the boundary measurement point deployment requirements, the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam are determined; the initial number is greater than the first number.

[0178] Specifically, the design drawings of concrete dams include detailed design information such as profiles, cross-sections, structures, and contours, as well as upstream views of the dam, downstream views of the dam, details, and concrete partitioning diagrams. According to the design drawings of the concrete dam, the total concrete volume (volume) of the concrete dam is determined, and then the first quantity is determined based on the number of measuring points. The first quantity is the minimum value of the temperature monitoring instrument in the concrete dam. According to the concrete dam partition information provided by the drawings, the position and size of each concrete block in the concrete dam can be known, so as to determine the number and spatial coordinates of the temperature monitoring instruments deployed inside. After that, the temperature monitoring instruments are deployed at the boundary of the concrete dam according to the boundary measuring point deployment requirements, and the number and spatial coordinates of the boundary temperature monitoring instruments are determined.

[0179] When the measuring points are arranged in accordance with the requirements for the deployment of boundary measuring points, the temperature monitoring instruments arranged on the surface of the dam body should be installed 5-10 cm vertically inward from the dam surface in accordance with the relevant safety technical monitoring specifications. In this embodiment, the location of the dam surface measuring points is determined according to the degree of water flow scouring at the measuring point or whether the measuring point carries traffic demand. For example, due to traffic demand on the top surface of the dam, the burial depth of the temperature monitoring instrument can be slightly increased to prevent damage, and the measuring points are arranged 10 cm vertically inward from the top surface of the dam, and the temperature monitoring instruments are buried. In order to prevent the temperature monitoring instrument from being damaged by the concrete peeling off the orifice surface caused by overflow scouring of the dam body orifice and changes in external temperature, measuring points are arranged 10 cm vertically inward from the surface of each orifice of the dam body, and the temperature monitoring instrument is buried.

[0180] When laying out temperature monitoring instruments, the following requirements must be met:

[0181] ① Set up measuring points inside the dam body 5-10 cm away from the upstream and downstream dam surfaces, and 10 cm below the top surface of the dam; since the temperature gradient near the surface is usually large, set up measuring points 50 cm (the error does not exceed the preset offset distance) from the upstream and downstream dam surfaces to the inside of the concrete along the water flow direction, and bury the temperature monitoring instrument there;

[0182] ② Set up measuring points 10 cm inside the surface of each orifice of the dam body and bury the temperature monitoring instrument there;

[0183] ③ Set up measuring points in the area 5-10 cm away from the surface of the dam corridor, and bury the corridor temperature monitoring instrument here (the dam corridor is usually sealed, connecting the mountains on both sides, and the temperature fluctuation in the corridor is small);

[0184] ④ Set up measuring points in the area 5~10cm above the foundation surface and bury the temperature monitoring instrument there; drill holes and bury the temperature monitoring instrument in the area 5~10m below the foundation surface to monitor the changes in bedrock temperature.

[0185] In addition, the water depth downstream of the dam is generally small, and the water temperature is greatly affected by the air temperature. However, in order to prevent the dam body from discharging floodwater and causing scouring of the dam toe, a cushion pond is set up downstream of the concrete arch dam, and its depth can reach tens of meters. Therefore, the measurement points are arranged according to the deployment conditions of the cushion pond measurement points, so that there is at least one measurement point at the preset elevation interval on the downstream dam surface below the top of the cushion pond. The preset elevation can be set to 5m. Specifically, it is necessary to encrypt the surface thermometers on the downstream dam surface below the top of the cushion pond to meet the requirement of having one surface thermometer every 5m in elevation, so as to use the data collected by these thermometers to improve the accuracy of temperature field reconstruction.

[0186] Step S1012, determining the final number and final spatial coordinates of the temperature monitoring instruments when the initial number and initial spatial coordinates satisfy the measurement point number condition and the measurement point distribution condition.

[0187] After determining the initial number and initial spatial coordinates of the temperature monitoring instruments in the concrete dam, a judgment is made based on the number and distribution conditions of the measuring points. If the temperature monitoring instruments under the initial number and initial spatial coordinates meet the conditions, then the initial number and initial spatial coordinates are the final number and final spatial coordinates of the temperature monitoring instruments. Based on this final number and final spatial coordinates, the temperature monitoring instruments are deployed.

[0188] Following the above implementation, in a feasible implementation, the three-dimensional temperature field reconstruction method of the concrete dam further includes:

[0189] According to the initial spatial coordinates, detecting whether the temperature measurement point meets the measurement point distribution condition; one temperature measurement point corresponds to one temperature monitoring instrument;

[0190] When the temperature measurement points do not meet the measurement point distribution condition, the maximum and minimum adjacent distances of the temperature measurement points are adjusted and / or temperature measurement points are added between the temperature measurement points with the largest adjacent distances until the temperature measurement points meet the measurement point distribution condition.

[0191] Specifically, according to the above expressions 2-5, the initial spatial coordinates of each temperature monitoring instrument are substituted, and the initial spatial coordinates of the temperature monitoring instrument are the initial spatial coordinates of the temperature measuring point. It is detected whether the temperature measuring point meets the measuring point distribution condition under the initial spatial coordinates. If the measuring point distribution condition is not met, the initially determined measuring point is adjusted. If the measuring point quantity condition and the measuring point distribution condition are not met at this time, the measuring point is added; if the measuring point quantity condition is met but the measuring point distribution condition is not met at this time, the maximum and minimum adjacent distances of the measuring point can be adjusted and / or the measuring point can be added. When adding measuring points locally, the position where the adjacent distance of the measuring point is the largest (where the measuring points are relatively sparse) can be selected to add measuring points; or, the measuring point can be added at the position where the temperature gradient change amplitude is relatively large in the boundary of the concrete dam. Until the adjusted measuring points meet the measuring point quantity condition and the measuring point distribution condition, at this time, the final number of measuring points and the final spatial coordinates are determined.

[0192] In this embodiment, when the spatial coordinates of the initially determined measuring points do not meet the measuring point distribution conditions, the measuring points are adjusted. Since the distribution of the temperature monitoring instruments is uniform and random, when the number of measuring points is fixed, the uniformity of the temperature value collection results can be improved, which better meets the assumption of random distribution of temperature values ​​in the Kriging proxy model. On this basis, the accuracy of the three-dimensional temperature field reconstruction can be improved.

[0193] In a feasible implementation manner, the above implementation manner is followed, and the above step S102, according to the number and spatial coordinates of the temperature measuring points in the concrete dam, the temperature monitoring instrument is arranged in the concrete dam, which may specifically include:

[0194] According to the final quantity and the final spatial coordinates, thermometers are arranged in the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, 5 to 10 cm vertically inward from the downstream dam surface, 10 cm vertically downward from the top of the dam, 10 cm vertically inward from the surface of the dam body orifice, 5 to 10 cm vertically inward from the surface of the dam body corridor, and 5 to 10 cm vertically upward from the foundation surface.

[0195] In this embodiment, temperature data can be precisely measured for different environments in a targeted manner, thereby improving reconstruction accuracy.

[0196] In order to further improve the accuracy of the three-dimensional temperature field reconstruction, the present application proposes to use the reservoir water depth and water temperature data as reference data for the three-dimensional temperature field reconstruction. In a feasible implementation, the three-dimensional temperature field reconstruction method of the concrete dam further includes:

[0197] An optical fiber sensor is buried in the middle dam section of the riverbed of the concrete dam to measure the real-time change of water temperature along the water depth; an optical fiber sensor is buried vertically on the upstream surface of all casting bins below the upstream highest water level of the dam section, and an optical fiber sensor is buried vertically on the downstream surface of all casting bins below the downstream highest water level of the dam section; the optical fiber sensor is used to collect real-time water temperature data and water depth data to determine the real-time change of water temperature along the water depth;

[0198] According to the real-time changes, the temperature data of the upstream dam surface and the downstream dam surface below the water surface are determined.

[0199] Specifically, after water storage, the surface temperature of the dam body below the upstream and downstream water levels is greatly affected by the water temperature of the reservoir, and the water temperature of the reservoir is related to the water depth, showing significant stratification. In order to improve the reconstruction accuracy of the three-dimensional temperature field of the concrete dam, an optical fiber sensor can be buried in the middle dam section of the riverbed in the concrete dam to measure the real-time change of water temperature along the water depth; an optical fiber sensor is buried vertically near the upstream surface of all casting bins below the upstream highest water level in the dam section, and an optical fiber sensor is buried vertically near the downstream surface of all casting bins below the downstream highest water level in the dam section, to measure the continuous change of water temperature with water depth, and obtain water depth data and water temperature data.

[0200] In this embodiment, the data collected by the optical fiber temperature monitoring instrument is combined to determine the real-time change of water temperature along the water depth. After water is stored upstream of the dam, the concrete dam temperature data collected by the temperature measuring instrument and the upstream and downstream surface temperatures of the concrete dam below the water level collected by the optical fiber sensor are used to reconstruct the three-dimensional temperature field of the concrete dam using the Kriging proxy model and the particle swarm optimization algorithm, which is beneficial to improving the accuracy of the reconstruction of the three-dimensional temperature field of the concrete dam.

[0201] At different stages of the concrete dam, the stress of the concrete dam can be analyzed based on the constructed temperature field. For example, during the construction stage, an infrared temperature measuring instrument is used to determine the temperature of each casting bin surface and exposed transverse joint surface during the dam construction period. Combined with the buried internal thermometer and optical fiber temperature monitoring data, the Kriging proxy model is used to calculate the three-dimensional temperature field of the dam body at different stages of the construction period; after the dam body is poured, the Kriging proxy model is used to calculate the three-dimensional temperature field of the dam body during the operation period using the buried internal thermometer and optical fiber temperature monitoring data.

[0202] Reference Figure 2 , Figure 2 Schematic diagram of the framework of the three-dimensional temperature field reconstruction device of the concrete dam in one embodiment of the present application. Figure 2 As shown, in one embodiment of the present application, the three-dimensional temperature field reconstruction device 200 of the concrete dam includes:

[0203] The determination module 201 is used to determine the number and spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the number of measurement points and the distribution of measurement points of the concrete dam temperature; the number of measurement points is determined according to the total volume of concrete in the concrete dam body; the distribution of measurement points is uniform and random distribution;

[0204] A laying module 202 is used to bury the temperature monitoring instrument in the concrete dam according to the quantity and the spatial coordinates;

[0205] The reconstruction module 203 is used to reconstruct the three-dimensional temperature field of the concrete dam according to the data collected by the temperature monitoring instrument.

[0206] In this embodiment, the number and spatial coordinates of temperature monitoring instruments buried in the concrete dam are determined according to the number of measuring points and the distribution of measuring points of the concrete dam temperature; the number of measuring points is determined according to the total volume of concrete in the concrete dam body; the distribution of measuring points is uniformly randomly distributed; temperature monitoring instruments are buried in the concrete dam according to the number and the spatial coordinates; the three-dimensional temperature field of the concrete dam is reconstructed according to the data collected by the temperature monitoring instruments, and the measuring points are arranged based on the number of measuring points and the distribution of measuring points, which effectively avoids the problem of reduced accuracy of three-dimensional temperature field reconstruction caused by too few training data sets and uneven distribution of measuring points, and improves the accuracy of three-dimensional temperature field reconstruction of the concrete dam.

[0207] In a feasible implementation manner, the above-mentioned determination module includes:

[0208] The first determination module (not shown in the figure) is used to determine the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the design drawings of the concrete dam and the deployment requirements of the boundary measurement points;

[0209] A second determination module (not shown in the figure) is used to determine the final number and final spatial coordinates of the temperature monitoring instruments when the initial number and initial spatial coordinates meet the measurement point number condition and the measurement point distribution condition;

[0210] Among them, the requirements for the deployment of boundary measuring points include: placing temperature monitoring instruments within the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, within the area 5 to 10 cm vertically inward from the downstream dam surface, within the area 10 cm vertically downward from the top of the dam, within the area 10 cm vertically inward from the surface of the dam body orifice, within the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and within the area 5 to 10 cm vertically downward from the foundation surface.

[0211] In a feasible implementation manner, the first determining module includes:

[0212] First, determine a first submodule (not shown in the figure), which is used to determine the total volume of concrete of the concrete dam body according to the design drawings of the concrete dam;

[0213] A first determination second submodule (not shown in the figure) is used to determine a first quantity according to the total volume; the first quantity is the minimum number of temperature monitoring instruments in the concrete dam;

[0214] The first determines a third submodule (not shown in the figure), which is used to determine the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the boundary measurement point deployment requirements; the initial number is greater than the first number.

[0215] In a feasible implementation manner, the three-dimensional temperature field reconstruction device 300 of the concrete dam further includes:

[0216] A detection module (not shown in the figure) is used to detect whether the temperature measurement point meets the measurement point distribution condition according to the initial space coordinates; one temperature measurement point corresponds to one temperature monitoring instrument;

[0217] An adjustment module (not shown in the figure) is used to adjust the maximum and minimum adjacent distances of the temperature measurement points and / or add temperature measurement points between the temperature measurement points with the largest adjacent distances when the temperature measurement points do not meet the measurement point distribution conditions, until the temperature measurement points meet the measurement point distribution conditions.

[0218] In a feasible implementation manner, the above-mentioned deployment module 202 includes:

[0219] The layout module submodule (not shown in the figure) is used to lay out thermometers in the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, in the area 5 to 10 cm vertically inward from the downstream dam surface, in the area 10 cm vertically downward from the top surface of the dam, in the area 10 cm vertically inward from the surface of the dam body orifice, in the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and in the area 5 to 10 cm vertically upward from the foundation surface, according to the final number and the final spatial coordinates.

[0220] In a feasible implementation manner, the device 200 further includes:

[0221] The optical fiber sensor deployment module (not shown in the figure) is used to bury optical fiber sensors in the middle dam section of the riverbed of the concrete dam to measure the real-time change of water temperature along the water depth; the optical fiber sensors are vertically buried on the upstream surface of all casting bins below the upstream highest water level of the dam section, and the optical fiber sensors are vertically buried on the downstream surface of all casting bins below the downstream highest water level of the dam section; the optical fiber sensors are used to collect real-time water temperature data and water depth data to determine the real-time change of water temperature along the water depth;

[0222] The third determination module (not shown in the figure) is used to determine the temperature data of the upstream dam surface and the downstream dam surface below the water surface according to the real-time changes.

[0223] In the present application, the description of the device embodiment is relatively short, and specific details can be referred to the above method embodiment, which will not be repeated here.

[0224] Reference Figure 3 , Figure 3 Schematic diagram of an electronic device described in one embodiment of the present application. Figure 3 As shown, in one embodiment of the present application, an electronic device 300 is provided, including a memory 302, a processor 301, and a computer program stored in the memory 302 and executable on the processor 301, and the processor 301 implements the above-mentioned three-dimensional temperature field reconstruction method of the concrete dam when executing the computer program.

[0225] In one embodiment of the present application, a non-volatile storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the three-dimensional temperature field reconstruction method of the concrete dam as described in the above embodiment is implemented.

[0226] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0227] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the embodiments of the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0228] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0229] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0230] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0231] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present application.

[0232] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0233] The above is a detailed introduction to the three-dimensional temperature field reconstruction method, device, equipment and medium of a concrete dam. This article uses specific examples to illustrate the principles and embodiments of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific embodiments and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A three-dimensional temperature field reconstruction method for a concrete dam, characterized in that: The method comprises: According to the number of measuring points and the distribution of measuring points of the concrete dam temperature, the number and spatial coordinates of the temperature monitoring instruments buried in the concrete dam are determined; the number of measuring points is determined according to the total volume of concrete in the concrete dam body; the distribution of measuring points is uniform and random distribution; Burying temperature monitoring instruments in the concrete dam according to the number and the spatial coordinates; Reconstructing the three-dimensional temperature field of the concrete dam according to the data collected by the temperature monitoring instrument; Wherein, the measurement point quantity condition refers to Expression 1: (Expression 1); In Expression 1, is the distribution density of temperature measuring points within a unit volume of concrete; is the number of temperature measurement points, V is the total volume of concrete in the concrete dam body (m 3 ); One temperature measuring point corresponds to one temperature monitoring instrument; The measuring point distribution conditions are as follows: For a set of temperature measurement points , each temperature measuring point The spatial coordinates are ; For each temperature measurement point , which is related to another temperature measuring point Nearest neighbor distance for (Expression 2); Calculate the nearest neighbor distance of all temperature measurement points ; For different distance thresholds , count all nearest neighbor distances The number of measurement points and their proportion are calculated to construct the empirical distribution function, that is, (Expression 3); In expression 3 is the cumulative distribution function, P is the probability mass function; Construct a theoretical distribution function, assuming that all temperature measurement points are uniformly and randomly distributed in a given area. In three-dimensional space, theoretically, the probability that the nearest neighbor distance of any temperature measurement point is less than or equal to r is for (Expression 4); In expression 4 See expression 1, exp is an exponential function with natural logarithm e as base, is the probability function; Compare and find the maximum difference between the empirical distribution function and the theoretical distribution function ,Right now (Expression 5); Query the Kolmogorov-Smirnov D critical value table and obtain the sample size When the significance level is 90%, value; when When , it is determined that the distribution of temperature measurement points satisfies uniform random distribution.

2. The method according to claim 1, characterized in that Determining the number and spatial coordinates of temperature monitoring instruments buried in the concrete dam according to the number and distribution conditions of the measuring points of the concrete dam temperature includes: According to the design drawings of the concrete dam and the requirements for the deployment of boundary measurement points, determine the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam; When the initial number and the initial spatial coordinates satisfy the measuring point number condition and the measuring point distribution condition, determining the final number and the final spatial coordinates of the temperature monitoring instruments; Among them, the requirements for the deployment of boundary measuring points include: placing temperature monitoring instruments within the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, within the area 5 to 10 cm vertically inward from the downstream dam surface, within the area 10 cm vertically downward from the top of the dam, within the area 10 cm vertically inward from the surface of the dam body orifice, within the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and within the area 5 to 10 cm vertically upward from the foundation surface.

3. The method according to claim 2, characterized in that Determining the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the design drawings of the concrete dam and the requirements for the deployment of boundary measurement points includes: Determine the total volume of concrete for the dam body according to the design drawings of the concrete dam; Determine a first quantity according to the total volume; the first quantity is the minimum quantity of temperature monitoring instruments in the concrete dam; According to the boundary measurement point deployment requirements, the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam are determined; the initial number is greater than the first number.

4. The method according to claim 2, characterized in that: The method further comprises: According to the initial spatial coordinates, detecting whether the temperature measurement points meet the measurement point distribution conditions; When the temperature measurement points do not meet the measurement point distribution condition, the maximum and minimum adjacent distances of the temperature measurement points are adjusted and / or temperature measurement points are added between the temperature measurement points with the largest adjacent distances until the temperature measurement points meet the measurement point distribution condition.

5. The method according to claim 2, characterized in that: The temperature monitoring instrument is buried in the concrete dam according to the quantity and the spatial coordinates, including: According to the final quantity and the final spatial coordinates, thermometers are arranged in the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, 5 to 10 cm vertically inward from the downstream dam surface, 10 cm vertically downward from the top of the dam, 10 cm vertically inward from the surface of the dam body orifice, 5 to 10 cm vertically inward from the surface of the dam body corridor, and 5 to 10 cm vertically upward from the foundation surface.

6. The method according to claim 1, characterized in that The method further comprises: An optical fiber sensor is buried in the middle dam section of the riverbed of the concrete dam to measure the real-time change of water temperature along the water depth; an optical fiber sensor is buried vertically on the upstream surface of all casting bins below the upstream highest water level of the dam section, and an optical fiber sensor is buried vertically on the downstream surface of all casting bins below the downstream highest water level of the dam section; the optical fiber sensor is used to collect real-time water temperature data and water depth data to determine the real-time change of water temperature along the water depth; According to the real-time changes, the temperature data of the upstream dam surface and the downstream dam surface below the water surface are determined.

7. The method according to claim 1, characterized in that The three-dimensional temperature field of the concrete dam is reconstructed according to the data collected by the temperature monitoring instrument, including: The concrete dam temperature data collected by the temperature monitoring instrument is used to reconstruct the three-dimensional temperature field of the concrete dam using a Kriging proxy model and a particle swarm optimization algorithm.

8. A three-dimensional temperature field reconstruction device for a concrete dam, characterized in that: The device comprises: A determination module is used to determine the number and spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the number of measurement points and the distribution of measurement points of the concrete dam temperature; the number of measurement points is determined according to the total volume of concrete in the concrete dam body; the distribution of measurement points is uniform and random distribution; A laying module, used for burying temperature monitoring instruments in the concrete dam according to the quantity and the spatial coordinates; A reconstruction module, used to reconstruct the three-dimensional temperature field of the concrete dam according to the data collected by the temperature monitoring instrument; Wherein, the measurement point quantity condition refers to Expression 1: (Expression 1); In Expression 1, is the distribution density of temperature measuring points within a unit volume of concrete; is the number of temperature measurement points, V is the total volume of concrete in the concrete dam body (m 3 ); One temperature measuring point corresponds to one temperature monitoring instrument; The measuring point distribution conditions are as follows: For a set of temperature measurement points , each temperature measuring point The spatial coordinates are ; For each temperature measurement point , which is related to another temperature measuring point Nearest neighbor distance for (Expression 2); Calculate the nearest neighbor distance of all temperature measurement points ; For different distance thresholds , count all nearest neighbor distances The number of measurement points and their proportion are calculated to construct the empirical distribution function, that is, (Expression 3); In expression 3 is the cumulative distribution function, P is the probability mass function; Construct a theoretical distribution function, assuming that all temperature measurement points are uniformly and randomly distributed in a given area. In three-dimensional space, theoretically, the probability that the nearest neighbor distance of any temperature measurement point is less than or equal to r is for (Expression 4); In expression 4 See expression 1, exp is an exponential function with natural logarithm e as base, is the probability function; Compare and find the maximum difference between the empirical distribution function and the theoretical distribution function ,Right now (Expression 5); Query the Kolmogorov-Smirnov D critical value table and obtain the sample size When the significance level is 90%, value; when When , it is determined that the distribution of temperature measurement points satisfies uniform random distribution.

9. The device according to claim 8, characterized in that The determining module comprises: The first determination module is used to determine the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the design drawings of the concrete dam and the deployment requirements of the boundary measurement points; A second determination module is used to determine the final number and final spatial coordinates of the temperature monitoring instruments when the initial number and initial spatial coordinates meet the measurement point number condition and the measurement point distribution condition; Among them, the requirements for the deployment of boundary measuring points include: placing temperature monitoring instruments within the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, within the area 5 to 10 cm vertically inward from the downstream dam surface, within the area 10 cm vertically downward from the top of the dam, within the area 10 cm vertically inward from the surface of the dam body orifice, within the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and within the area 5 to 10 cm vertically upward from the foundation surface.

10. The device according to claim 9, characterized in that The first determining module includes: The first submodule is used to determine the total volume of concrete of the concrete dam body according to the design drawings of the concrete dam; The first determines the second submodule, which is used to determine a first quantity according to the total volume; the first quantity is the minimum quantity of temperature monitoring instruments in the concrete dam; The third submodule is first determined, and is used to determine the initial number and initial spatial coordinates of the temperature monitoring instruments buried in the concrete dam according to the boundary measurement point deployment requirements; the initial number is greater than the first number.

11. The device according to claim 9, characterized in that The device also includes: A detection module, used to detect whether the temperature measurement point meets the measurement point distribution condition according to the initial space coordinates; The adjustment module is used to adjust the maximum and minimum adjacent distances of the temperature measurement points and / or add temperature measurement points between the temperature measurement points with the largest adjacent distances when the temperature measurement points do not meet the measurement point distribution conditions, until the temperature measurement points meet the measurement point distribution conditions.

12. The device according to claim 9, characterized in that The deployment module comprises: The layout module submodule is used to lay out thermometers in the area 5 to 10 cm vertically inward from the upstream dam surface of the concrete dam, in the area 5 to 10 cm vertically inward from the downstream dam surface, in the area 10 cm vertically downward from the top of the dam, in the area 10 cm vertically inward from the surface of the dam body orifice, in the area 5 to 10 cm vertically inward from the surface of the dam body corridor, and in the area 5 to 10 cm vertically upward from the foundation surface, according to the final number and the final spatial coordinates.

13. The device according to claim 8, characterized in that The device also includes: The optical fiber sensor deployment module is used to bury optical fiber sensors in the middle dam section of the riverbed of the concrete dam to measure the real-time change of water temperature along the water depth; the optical fiber sensors are vertically buried on the upstream surface of all casting bins below the upstream highest water level of the dam section, and the optical fiber sensors are vertically buried on the downstream surface of all casting bins below the downstream highest water level of the dam section; the optical fiber sensors are used to collect real-time water temperature data and water depth data to determine the real-time change of water temperature along the water depth; The third determination module is used to determine the temperature data of the upstream dam surface and the downstream dam surface below the water surface according to the real-time changes.

14. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the three-dimensional temperature field reconstruction method of the concrete dam is implemented as described in any one of claims 1-7.

15. A non-volatile storage medium, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the three-dimensional temperature field reconstruction method of a concrete dam as described in any one of claims 1-7 is implemented.

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