Aerogel thermal insulation layer thickness determination method and system, terminal and storage medium

Abstract

The invention relates to an aerogel thermal insulation layer thickness determination method and system, a terminal and a storage medium, and relates to the technical field of thermal insulation layer design, the method comprises the following steps: making a concrete model in a preset test area, and obtaining a making completion trigger signal of the concrete model; controlling a preset thermal insulation construction device to manufacture a thermal insulation layer on the concrete model according to the manufacturing completion trigger signal and preset thermal insulation layer parameters; obtaining temperature data of the whole test process of the concrete model; analyzing the temperature data in the whole test process and the parameters of the thermal insulation layer to determine a surface heat dissipation coefficient and thickness relation model of the thermal insulation layer; obtaining engineering thermal insulation demand parameters; and inputting the engineering heat preservation demand parameters into the surface heat dissipation coefficient and thickness relation model for analysis so as to determine the optimal spraying thickness of the heat preservation layer. The method has the effect of improving the heat preservation effect of the aerogel heat preservation layer constructed on the dam face.

Description

Technical Field

[0001] The present application relates to the technical field of thermal insulation layer design, and in particular, to a method, a system, a terminal and a storage medium for determining the thickness of an aerogel thermal insulation layer. Background Art

[0002] Large-scale water conservancy and hydropower, pumped storage, wind power and other clean energy projects are important engines to promote the energy transformation in China. However, during the project construction period, there are often risks of cracking during the construction of mass concrete. After the concrete is poured, due to the hydration heat of cement, the internal temperature will rise sharply, while the surface of the concrete dissipates heat quickly. If no thermal insulation measures are taken, it is very easy to generate a large temperature gradient on the surface layer of the concrete, and large tensile stresses will be caused under the internal constraint conditions. If it exceeds the tensile strength of the concrete itself, cracks will occur. In addition, factors such as surface shrinkage and cold snap of the concrete will also cause excessive surface stress and cracking. Once cracks appear, it will seriously affect the integrity and stability of the structure, and at the same time, the later maintenance and repair costs will also increase greatly. Therefore, the surface protection of the concrete is very important for the temperature control and crack prevention of the concrete dam.

[0003] In the related art, aerogel is usually used for thermal insulation and crack prevention of the dam surface. As a new type of thermal insulation material, the nano-pores and multi-level fractal pore micro-structure of aerogel can effectively prevent air convection, reduce thermal radiation and heat conduction, and its thermal conductivity is 0.012 - 0.024 W / (m·k), which is 2 - 3 orders of magnitude lower than that of traditional thermal insulation materials. Before construction, technicians first determine the thermal conductivity of the aerogel used and the target thermal resistance of the dam surface, and calculate the product of the target thermal resistance and the thermal conductivity to obtain the thickness of the aerogel, so as to spray the aerogel on the dam surface according to the calculated thickness to form a thermal insulation layer.

[0004] In view of the above related art, although the thickness calculated by the target thermal resistance and the thermal conductivity is scientific and reasonable, it ignores the complex factors in the actual environment, such as the influence of wind speed, temperature and solar radiation, etc., resulting in the thermal insulation effect achieved after spraying the aerogel according to the calculated thickness being lower than the required effect, and the thermal insulation effect of the aerogel thermal insulation layer constructed on the dam surface is poor, and there is still room for improvement. Summary of the Invention

[0005] In order to improve the thermal insulation effect of the aerogel thermal insulation layer constructed on the dam surface, the present application provides a method, a system, a terminal and a storage medium for determining the thickness of the aerogel thermal insulation layer.

[0006] In the first aspect, the present application provides a method for determining the thickness of an aerogel thermal insulation layer, adopting the following technical solution:

[0007] A method for determining the thickness of an aerogel thermal insulation layer includes:

[0008] Make a concrete model within a preset test area and obtain a signal indicating the completion of the production of the concrete model;

[0009] Control a preset thermal insulation construction device to make a thermal insulation layer on the concrete model according to the completion trigger signal and preset thermal insulation layer parameters;

[0010] Obtain the temperature data of the entire process of the test of the concrete model;

[0011] Analyze the temperature data of the entire process of the test and the thermal insulation layer parameters to determine the surface heat dissipation coefficient - thickness relationship model of the thermal insulation layer;

[0012] Obtain the engineering thermal insulation requirement parameters;

[0013] Input the engineering thermal insulation requirement parameters into the surface heat dissipation coefficient - thickness relationship model for analysis to determine the optimal spraying thickness of the thermal insulation layer.

[0014] By adopting the above - mentioned technical solution, a concrete model is made in the test area, and the temperature data of the entire process of the test of the concrete model after making the thermal insulation layer is detected. Thus, the relationship between the heat dissipation coefficient and the thickness of the thermal insulation layer is analyzed based on the temperature change of the concrete under the thermal insulation layer. Finally, the optimal spraying thickness of the thermal insulation layer in the test area is calculated according to the engineering thermal insulation requirement parameters and the surface heat dissipation coefficient - thickness relationship model, so as to achieve the best thermal insulation effect of the thermal insulation layer during concrete construction.

[0015] Optionally, the steps of analyzing the temperature data of the entire process of the test and the thermal insulation layer parameters to determine the surface heat dissipation coefficient - thickness relationship model of the thermal insulation layer include:

[0016] Obtain the regional air temperature value of the test area;

[0017] Analyze the temperature data of the entire process of the test to determine the test temperature value and the corresponding distance from the exposed surface value;

[0018] Analyze the thermal insulation layer parameters to determine the aerogel spraying thickness and the aerogel thermal conductivity;

[0019] Analyze the regional air temperature value, the test temperature value, the distance from the exposed surface value, and the aerogel thermal conductivity to determine the initial value of the surface heat dissipation coefficient inversion;

[0020] Analyze the initial value of the surface heat dissipation coefficient inversion, the aerogel spraying thickness, and the aerogel thermal conductivity to determine the calculated value of the surface heat dissipation coefficient;

[0021] Analyze the regional air temperature value, the test temperature value, the distance from the exposed surface value, the aerogel thermal conductivity, and the initial value of the surface heat dissipation coefficient inversion to determine the inversion value of the surface heat dissipation coefficient;

[0022] Analyze the calculated value and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient;

[0023] Conduct numerical simulation based on the actual heat dissipation coefficient to determine the surface heat dissipation coefficient thickness relationship model.

[0024] By adopting the above technical solution, the heat dissipation coefficient is inverted according to the temperature data of the whole test process actually detected, so as to obtain the initial value of the surface heat dissipation coefficient inversion. Then, the calculated value of the surface heat dissipation coefficient is obtained by forward calculation according to the initial value of the surface heat dissipation coefficient inversion. Thus, the heat dissipation coefficients of the test and the theoretical calculation are balanced in both forward and inverse aspects, and further improve the accuracy of determining the surface heat dissipation coefficient thickness relationship model.

[0025] Optionally, the steps of analyzing the regional air temperature value, the test temperature value, the distance from the air, the thermal conductivity of the aerogel and the initial value of the surface heat dissipation coefficient inversion to determine the surface heat dissipation coefficient inversion value include:

[0026] Associate the regional air temperature value, the test temperature value, the distance from the air, the thermal conductivity of the aerogel and the initial value of the surface heat dissipation coefficient inversion to generate a data set;

[0027] Use the data set to train a preset machine learning model, and input the data set into the trained machine learning model to generate a predicted heat dissipation coefficient;

[0028] Analyze the predicted heat dissipation coefficient and the initial value of the surface heat dissipation coefficient inversion to determine the surface heat dissipation coefficient inversion value.

[0029] By adopting the above technical solution, the trained machine learning model is used to generate a predicted heat dissipation coefficient according to the data set, so as to improve the efficiency of determining the heat dissipation coefficient. And analyze according to the predicted heat dissipation coefficient and the initial value of the surface heat dissipation coefficient inversion, so as to obtain the predicted heat dissipation coefficient with the minimum error, which is the surface heat dissipation coefficient inversion value, and further improve the efficiency and accuracy of determining the surface heat dissipation coefficient inversion value.

[0030] Optionally, the steps of analyzing the calculated value and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient include:

[0031] Analyze the calculated value and the inversion value of the surface heat dissipation coefficient to determine the heat dissipation correction coefficient;

[0032] Analyze the heat dissipation correction coefficient and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient.

[0033] By adopting the above technical solution, the inversion value of the surface heat dissipation coefficient is corrected according to the heat dissipation correction coefficient, so as to obtain the actual heat dissipation coefficient. The heat dissipation coefficient is balanced and corrected in both test and theory aspects, and further improve the accuracy of the actual heat dissipation coefficient.

[0034] Optionally, the steps of performing numerical simulation according to the actual heat dissipation coefficient to determine the surface heat dissipation coefficient thickness relationship model include:

[0035] Establish a simulation calculation model of the concrete model with the actual heat dissipation coefficient as the boundary condition;

[0036] Use the simulation calculation model to perform temperature field simulation calculation analysis and obtain characteristic point temperature data;

[0037] Obtain the measured characteristic temperature;

[0038] Judge whether the characteristic point temperature data meets the requirements of the measured characteristic temperature;

[0039] If not, optimize the boundary conditions of the simulation calculation model and continue to perform temperature field simulation calculation analysis using the optimized simulation calculation model;

[0040] If it meets the requirements, obtain the surface heat dissipation coefficient simulation value;

[0041] Analyze the surface heat dissipation coefficient simulation value and the actual heat dissipation coefficient to determine the corrected heat dissipation coefficient;

[0042] Obtain the surface spraying thickness corresponding to the actual heat dissipation coefficient;

[0043] Analyze the surface spraying thickness and the corrected heat dissipation coefficient to determine the surface heat dissipation coefficient thickness relationship model.

[0044] By adopting the above technical solution, using the simulation calculation model to perform temperature field simulation calculation analysis, when it is determined that the characteristic point temperature data meets the measured characteristic temperature, it indicates that the boundary conditions of the simulation calculation model at this time have a small error from the actual situation. Therefore, call the surface heat dissipation coefficient simulation value at this time, and determine the corrected heat dissipation coefficient after theoretical and experimental correction of the surface heat dissipation coefficient simulation value and the actual heat dissipation coefficient. Finally, fit the surface heat dissipation coefficient thickness relationship model according to the surface spraying thickness and the corrected heat dissipation coefficient, thereby improving the accuracy of the surface heat dissipation coefficient thickness relationship model.

[0045] Optionally, the steps of controlling a preset thermal insulation construction device to fabricate a thermal insulation layer on the concrete model according to the fabricated trigger signal and the preset thermal insulation layer parameters include:

[0046] Control the thermal insulation construction device to cover the concrete model according to the fabricated trigger signal;

[0047] Control the thermal insulation construction device to clean the concrete model according to the preset moving path;

[0048] Control the thermal insulation construction device to spray aerogel on the exposed surface of the concrete model according to the movement path and thermal insulation layer parameters to form a thermal insulation layer.

[0049] By adopting the above technical solution, control the thermal insulation construction device to cover the concrete model, and clean and spray aerogel on the concrete model in sequence, so as to ensure the quality of the thermal insulation layer on the exposed surface of the concrete, and further ensure the accuracy of analyzing the heat dissipation coefficient of thermal insulation layers with different thicknesses in the follow-up.

[0050] Optionally, the steps of controlling the thermal insulation construction device to spray aerogel on the exposed surface of the concrete model according to the movement path and thermal insulation layer parameters include:

[0051] Obtain the covering distance value of the exposed surface;

[0052] Control the thermal insulation construction device to spray aerogel on the exposed surface of the concrete model according to the movement path and thermal insulation layer parameters, and obtain the spraying ranging value;

[0053] Analyze the covering distance value and the spraying ranging value to determine the aerogel thickness;

[0054] Judge whether the aerogel thickness meets the requirements of the thermal insulation layer parameters;

[0055] If it meets the requirements, control the thermal insulation construction device to stop spraying aerogel;

[0056] If it does not meet the requirements, adjust the thermal insulation construction device according to the aerogel thickness and the thermal insulation layer parameters, and then continue to spray aerogel on the exposed surface of the concrete model.

[0057] By adopting the above technical solution, control the thermal insulation construction device to spray aerogel on the exposed surface of the concrete model, analyze the covering distance value and the spraying ranging value to determine the aerogel thickness, and when it is determined that the aerogel thickness meets the requirements of the thermal insulation layer parameters, control the thermal insulation construction device to stop spraying aerogel, so as to ensure that the thickness of the thermal insulation layer is consistent with the required thickness, and further improve the convenience of thermal insulation layer construction.

[0058] In a second aspect, the present application provides a system for determining the thickness of an aerogel thermal insulation layer, adopting the following technical solution:

[0059] A system for determining the thickness of an aerogel thermal insulation layer includes:

[0060] An acquisition module, configured to acquire a production completion trigger signal, temperature data during the whole process of the test, and engineering thermal insulation requirement parameters;

[0061] A memory, configured to store a program of a method for determining the thickness of an aerogel thermal insulation layer as described in any one of the above.

[0062] A processor, and a program in a memory can be loaded and executed by the processor to implement a method for determining the thickness of an aerogel thermal insulation layer as described in any one of the above.

[0063] By adopting the above technical solution, the processor loads and executes a program of a method for determining the thickness of an aerogel thermal insulation layer stored in the memory, controls the acquisition module to acquire a series of data related to the determination of the thickness of the aerogel thermal insulation layer, thereby making a concrete model in the test area, and detecting the temperature data of the whole process of the test of the concrete model after making the thermal insulation layer, so as to analyze the relationship between the heat dissipation coefficient and the thickness of the thermal insulation layer according to the temperature change of the concrete under the thermal insulation layer, and finally calculate the optimal spraying thickness of the thermal insulation layer in the test area according to the engineering thermal insulation requirement parameters and the surface heat dissipation coefficient thickness relationship model, so that the thermal insulation effect of the thermal insulation layer during concrete construction is the best.

[0064] In a third aspect, the present application provides an intelligent terminal, adopting the following technical solution:

[0065] An intelligent terminal includes a memory and a processor, and a computer program capable of being loaded and executed by the processor to implement a method for determining the thickness of an aerogel thermal insulation layer as described in any one of the above is stored on the memory.

[0066] By adopting the above technical solution, by operating the intelligent terminal, the processor loads and executes a computer program of a method for determining the thickness of an aerogel thermal insulation layer stored in the memory, thereby making a concrete model in the test area, and detecting the temperature data of the whole process of the test of the concrete model after making the thermal insulation layer, so as to analyze the relationship between the heat dissipation coefficient and the thickness of the thermal insulation layer according to the temperature change of the concrete under the thermal insulation layer, and finally calculate the optimal spraying thickness of the thermal insulation layer in the test area according to the engineering thermal insulation requirement parameters and the surface heat dissipation coefficient thickness relationship model, so that the thermal insulation effect of the thermal insulation layer during concrete construction is the best.

[0067] In a fourth aspect, the present application provides a computer storage medium, which can store a corresponding program and has the characteristic of being convenient to improve the thermal insulation effect of the aerogel thermal insulation layer constructed on the dam surface, and adopts the following technical solution:

[0068] A computer-readable storage medium stores a computer program capable of being loaded and executed by a processor to implement any of the above methods for determining the thickness of an aerogel thermal insulation layer.

[0069] By adopting the above technical solution, a computer program for a method of determining the thickness of an aerogel thermal insulation layer is stored in a computer-readable storage medium, and a processor is enabled to load and execute the computer program in the storage medium, so as to fabricate a concrete model in a test area and detect the temperature data of the entire process of the test of the concrete model after the thermal insulation layer is fabricated. Then, based on the temperature change of the concrete under the thermal insulation layer, the relationship between the heat dissipation coefficient and the thickness of the thermal insulation layer is analyzed. Finally, according to the engineering thermal insulation requirement parameters and the surface heat dissipation coefficient thickness relationship model, the optimal spraying thickness of the thermal insulation layer in the test area is calculated, so that the thermal insulation effect of the thermal insulation layer during concrete construction is optimal.

[0070] In summary, the present application includes at least one of the following beneficial technical effects:

[0071] 1. By fabricating a concrete model in a test area and detecting the temperature data of the entire process of the test of the concrete model after the thermal insulation layer is fabricated, based on the temperature change of the concrete under the thermal insulation layer, the relationship between the heat dissipation coefficient and the thickness of the thermal insulation layer is analyzed. Finally, according to the engineering thermal insulation requirement parameters and the surface heat dissipation coefficient thickness relationship model, the optimal spraying thickness of the thermal insulation layer in the test area is calculated, so that the thermal insulation effect of the thermal insulation layer during concrete construction is optimal;

[0072] 2. By inversely calculating the heat dissipation coefficient based on the actually detected temperature data of the entire process of the test, the initial value of the surface heat dissipation coefficient inversion is obtained. Then, based on the initial value of the surface heat dissipation coefficient inversion, a forward calculation is performed to obtain the calculated value of the surface heat dissipation coefficient. Thus, the heat dissipation coefficients of the test and the theoretical calculation are balanced in both forward and inverse calculations, thereby improving the accuracy of determining the surface heat dissipation coefficient thickness relationship model;

[0073] 3. By controlling the thermal insulation construction device to cover the concrete model and successively cleaning and spraying aerogel on the concrete model, the quality of the thermal insulation layer on the concrete exposed surface is ensured, thereby ensuring the accuracy of subsequent analysis of the heat dissipation coefficients of thermal insulation layers with different thicknesses. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 is a flowchart of a method for determining the thickness of an aerogel thermal insulation layer in an embodiment of the present application.

[0075] Figure 2 is a flowchart of steps for analyzing the temperature data of the entire process of the test and the thermal insulation layer parameters to determine the surface heat dissipation coefficient thickness relationship model of the thermal insulation layer in an embodiment of the present application.

[0076] Figure 3 is a flowchart of steps for analyzing the regional air temperature value, test temperature value, exposed distance value, aerogel thermal conductivity, and initial value of the surface heat dissipation coefficient inversion to determine the inversion value of the surface heat dissipation coefficient in an embodiment of the present application.

[0077] Figure 4 It is a flowchart of the steps in the embodiment of the present application for analyzing the calculated value and the inverted value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient.

[0078] Figure 5 It is a flowchart of the steps in the embodiment of the present application for performing numerical simulation based on the actual heat dissipation coefficient to determine the surface heat dissipation coefficient thickness relationship model.

[0079] Figure 6 It is a flowchart of the steps in the embodiment of the present application for controlling a preset thermal insulation construction device to fabricate a thermal insulation layer on a concrete model according to a fabricated trigger signal and preset thermal insulation layer parameters.

[0080] Figure 7 It is a flowchart of the steps in the embodiment of the present application for controlling a thermal insulation construction device to spray aerogel on the exposed surface of a concrete model to form a thermal insulation layer according to a moving path and thermal insulation layer parameters.

[0081] Figure 8 It is a schematic diagram of a concrete model in the embodiment of the present application. Detailed implementation manners

[0082] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the following further elaborates on the present application in combination with the Figures 1 to 8 accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0083] The embodiment of the present application discloses a method for determining the thickness of an aerogel thermal insulation layer, specifically discloses a processing terminal, a temperature sensor and a thermal insulation construction device. The processing terminal is respectively connected to the temperature sensor and the thermal insulation construction device through data wires or remote data connections to achieve data exchange and control. After an operator finishes fabricating a concrete model, the processing terminal receives a fabricated trigger signal. At this time, the processing terminal controls the thermal insulation construction device to fabricate a thermal insulation layer on the concrete model, and controls the temperature sensor to detect the temperature data of the entire process of the experiment on the concrete model. The processing terminal analyzes the detected temperature data of the entire process of the experiment and the thermal insulation layer parameters to determine the surface heat dissipation coefficient thickness relationship model of the thermal insulation layer, and then inputs the engineering thermal insulation requirement parameters into the surface heat dissipation coefficient thickness relationship model for analysis and calculation to obtain the optimal spraying thickness of the thermal insulation layer, triggering a specific analysis of the best thermal insulation layer thickness in the test area from both practical and theoretical perspectives, so as to ensure the thermal insulation effect of the thermal insulation layer on the concrete.

[0084] Referring to Figure 1 , the embodiment of the present application discloses a method for determining the thickness of an aerogel thermal insulation layer, including the following steps:

[0085] Step S100: making a concrete model in a preset test area, and obtaining a trigger signal indicating that the making of the concrete model is completed.

[0086] The test area refers to the area where concrete construction is required. The specific location is selected by the operator according to the specific conditions of the construction area and needs to reflect the temperature, wind speed and sunshine of the construction area. The concrete model refers to a concrete cube with a volume of 1 cubic meter made in the test area. Figure 8 The concrete model is fixed with wooden formwork on all sides and the bottom is in contact with the ground.

[0087] The production completion trigger signal refers to a signal indicating that the concrete model is completed and a heat dissipation coefficient analysis test can be performed, which is input into the processing terminal by an operator.

[0088] Step S101: controlling a preset insulation construction device to make an insulation layer on a concrete model according to a production completion trigger signal and preset insulation layer parameters.

[0089] When the processing terminal receives the production completion trigger signal, the processing terminal responds to the production completion trigger signal, thereby controlling the insulation construction device to produce the insulation layer on the concrete model according to the insulation layer parameters. The specific method is as follows Figure 6 The steps provide basic support for the subsequent analysis of the surface heat dissipation coefficient of the insulation layer.

[0090] The insulation layer parameters refer to the thickness of the aerogel insulation layer on different air-facing surfaces of the concrete model and the fluidity of the aerogel. In the embodiment of the present application, five insulation layer thicknesses are preliminarily determined, namely 1mm, 2mm, 3mm, 4mm and 5mm, and the aerogel needs to be diluted and stirred evenly with 8% water, and the fluidity test meets the requirements.

[0091] The thermal insulation construction device refers to a device for making a thermal insulation layer on a concrete model, including a concrete cover and a spraying assembly. The concrete cover is used to cover the concrete model to ensure that the thermal insulation layer is not affected by the outside world when it is made, and the spraying assembly is arranged on the side wall of the concrete cover. The spraying assembly includes a horizontal and vertical linear module and a spray gun. The horizontal and vertical linear model controls the spray gun to spray aerogel on the air surface of the concrete model according to a predetermined path.

[0092] Step S102: Acquire the temperature data of the concrete model during the whole test process.

[0093] The temperature data of the whole test process refers to the temperature data of the concrete model during the test, which is detected by the temperature sensor embedded in the concrete model and sent to the processing terminal. Figure 8, an encapsulated DS18B20 temperature sensor chip is adopted. Through the temperature collector, 100 thermometer signals can be received simultaneously. Five thermometers are respectively arranged at the positions of 3 cm, 6 cm, 9 cm, 15 cm and 25 cm on the five free surfaces of the concrete model, and one thermometer is arranged at the central position. A total of 28 temperature sensors are embedded to monitor the concrete temperature gradient under different boundary conditions, and one thermometer is arranged around the concrete model to detect the ambient temperature. The embedded thermometers are fixed by steel bars before the concrete is poured, and heat insulation felts need to be pre-bonded on the steel bars to prevent the temperature of each measuring point from being transmitted through the steel bars.

[0094] Step S103: Analyze the temperature data and insulation layer parameters of the whole test process to determine the surface heat transfer coefficient - thickness relationship model of the insulation layer.

[0095] Among them, the surface heat transfer coefficient - thickness relationship model refers to the linear relationship model between the surface heat transfer coefficient of the insulation layer and the thickness of the insulation layer, which is determined by the processing terminal after analyzing the temperature data of the whole test process and the insulation layer parameters. The specific method refers to Figure 2 the steps.

[0096] Step S104: Obtain the engineering insulation requirement parameters.

[0097] Among them, the engineering insulation requirement parameters refer to the maximum heat transfer coefficient required for the concrete in the construction area, which is determined by the operator according to the specific situation of the construction area and input into the processing terminal.

[0098] Step S105: Input the engineering insulation requirement parameters into the surface heat transfer coefficient - thickness relationship model for analysis to determine the optimal spraying thickness of the insulation layer.

[0099] Among them, the optimal spraying thickness of the insulation layer refers to the thickness of the insulation layer required for the concrete project in the test area, which is obtained by the processing terminal calculating and analyzing by inputting the heat transfer coefficient corresponding to the engineering insulation requirement parameters into the formula corresponding to the surface heat transfer coefficient - thickness relationship model.

[0100] Refer to Figure 2 , the steps of analyzing the temperature data of the whole test process and the insulation layer parameters to determine the surface heat transfer coefficient - thickness relationship model of the insulation layer include:

[0101] Step S200: Obtain the regional air temperature value of the test area.

[0102] Among them, the regional air temperature value refers to the temperature value of the environment around the concrete model, which is detected by the externally installed temperature sensor and sent to the processing terminal.

[0103] Step S201: Analyze the temperature data of the whole test process to determine the test temperature value and the corresponding free - surface distance value.

[0104] Among them, the test temperature value refers to the actual temperature value of the temperature measurement points on different free surfaces in the concrete model. In the embodiments of the present application, the data of 3 thermometers close to the surface of each free surface in the temperature data of the whole test process are selected, and then the temperature data with smooth temperature change among the data of the 3 thermometers is selected as the test temperature value.

[0105] The free surface distance value refers to the distance value of the measured temperature corresponding to different temperature data from the free surface, which is obtained by the processing terminal searching in the relationship where the thermometer number corresponds one-to-one with the free surface distance according to the thermometer number corresponding to the temperature data.

[0106] Step S202: Analyze the insulation layer parameters to determine the aerogel spraying thickness and the aerogel thermal conductivity.

[0107] Among them, the aerogel spraying thickness refers to the thickness of the aerogel sprayed on different free surfaces, which is obtained by the processing terminal searching for the aerogel thickness corresponding to the free surface in the insulation layer parameters according to the free surface number.

[0108] The aerogel thermal conductivity refers to the thermal conductivity of the sprayed aerogel, which is obtained by the operator inputting it into the processing terminal according to the specific situation of the selected aerogel.

[0109] Step S203: Analyze the regional air temperature value, the test temperature value, the free surface distance value and the aerogel thermal conductivity to determine the initial value of the surface heat transfer coefficient inversion.

[0110] Among them, the initial value of the surface heat transfer coefficient inversion refers to the initial value of the heat transfer coefficient obtained by inversely calculating the surface heat transfer coefficient of the insulation layer using the measured temperature, which is calculated by the processing terminal according to the regional air temperature value, the test temperature value, the free surface distance value and the aerogel thermal conductivity. The specific calculation formula is:

[0111]

[0112] Among them, β1 is the initial value of the surface heat transfer coefficient inversion, λ is the aerogel thermal conductivity, T1, T2, and T3 are the test temperature values, T0 is the regional air temperature value, and D1 and D3 are the free surface distance values.

[0113] Step S204: Analyze the initial value of the surface heat transfer coefficient inversion, the aerogel spraying thickness and the aerogel thermal conductivity to determine the calculated value of the surface heat transfer coefficient.

[0114] Among them, the calculated value of the surface heat transfer coefficient refers to the surface heat transfer coefficient obtained by forward estimation according to the initial value of the inverted heat transfer coefficient, which is calculated by the processing terminal according to the initial value of the surface heat transfer coefficient inversion, the aerogel spraying thickness and the aerogel thermal conductivity. The specific calculation formula is:

[0115]

[0116] Among them, β S is the calculated value of the surface heat dissipation coefficient, β1 is the initial value of the surface heat dissipation coefficient inversion, h i is the thickness of the aerogel spray coating, and λ i is the thermal conductivity of the aerogel.

[0117] Step S205: Analyze the regional air temperature value, test temperature value, free-air distance value, aerogel thermal conductivity, and the initial value of the surface heat dissipation coefficient inversion to determine the inversion value of the surface heat dissipation coefficient.

[0118] Among them, the inversion value of the surface heat dissipation coefficient refers to the heat dissipation coefficient determined according to the correlation between the regional air temperature value, test temperature value, free-air distance value, and the initial value of the surface heat dissipation coefficient inversion. It is determined by the processing terminal after analyzing the regional air temperature value, test temperature value, free-air distance value, aerogel thermal conductivity, and the initial value of the surface heat dissipation coefficient inversion. The specific analysis method refers to Figure 3 the steps of

[0119] Step S206: Analyze the calculated value of the surface heat dissipation coefficient and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient.

[0120] Among them, the actual heat dissipation coefficient refers to the heat dissipation coefficient obtained after balancing the test heat dissipation coefficient and the theoretical heat dissipation coefficient. It is obtained by the processing terminal analyzing the calculated value of the surface heat dissipation coefficient and the inversion value of the surface heat dissipation coefficient. The specific analysis method refers to Figure 4 the steps of

[0121] Step S207: Perform numerical simulation based on the actual heat dissipation coefficient to determine the surface heat dissipation coefficient thickness relationship model.

[0122] Among them, the surface heat dissipation coefficient thickness relationship model in this step is the same as the surface heat dissipation coefficient thickness relationship model in Step S103. The processing terminal uses the finite element numerical simulation platform to correct the actual heat dissipation coefficient, thereby determining the relationship between the aerogel spray coating thickness and the heat dissipation coefficient in the test area. The specific method refers to Figure 5 the steps of

[0123] Referring to Figure 3 , the steps of analyzing the regional air temperature value, test temperature value, free-air distance value, aerogel thermal conductivity, and the initial value of the surface heat dissipation coefficient inversion to determine the inversion value of the surface heat dissipation coefficient include:

[0124] Step S300: Correlate the regional air temperature value, test temperature value, free-air distance value, aerogel thermal conductivity, and the initial value of the surface heat dissipation coefficient inversion to generate a data set.

[0125] Among them, the data set refers to the data formed by the collected and calculated data for training the machine learning model, including the regional air temperature value, the test temperature value, the distance from the air, and the thermal conductivity of the aerogel, as input features, and also including the initial value of the surface heat dissipation coefficient inversion, as the output label. The form of the data set is:

[0126] X = [T a , T b , D, λ], Y = h,

[0127] Among them, T a is the regional air temperature value, T b is the test temperature value, D is the distance from the air, λ is the thermal conductivity of the aerogel, and h is the initial value of the surface heat dissipation coefficient inversion.

[0128] Step S301: Use the data set to train a preset machine learning model, and input the data set into the trained machine learning model to generate a predicted heat dissipation coefficient.

[0129] Among them, after determining the data set, use the data set to train the machine learning model, so that the machine learning model performs a correlation analysis on the discrete data of the data set. The expression of the model is:

[0130] f(X) = w T φ(X) + b,

[0131] Among them, w = (w1; w2;...; w d ) represents the normal vector of the hyperplane, which determines the direction of the hyperplane, b represents the displacement term, φ(X) is the Gaussian radial basis kernel function (RBF), and the goal is to minimize the following loss function:

[0132]

[0133] Among them, (x i , y i ) is the coordinate position of any data point in the sample space. After training, input some data in the data set into the trained machine learning model to generate a predicted heat dissipation coefficient, so as to provide data support for determining the surface heat dissipation coefficient inversion value subsequently.

[0134] The machine learning model refers to an algorithm that performs a correlation analysis on the discrete inversion data of the data set. In the embodiment of the present application, the support vector machine (SVM) algorithm is adopted, and the SVM regression model is used to fit the relationship between the input features and the heat dissipation coefficient, and the Gaussian radial basis kernel function (RBF) is selected, which is suitable for non-linear relationships.

[0135] Step S302: Analyze the predicted heat dissipation coefficient and the initial value of the surface heat dissipation coefficient inversion to determine the surface heat dissipation coefficient inversion value.

[0136] Among them, the inversion value of the surface heat dissipation coefficient in this step is consistent with the inversion value of the surface heat dissipation coefficient in step S205. Based on the SVM model, the optimal value of the heat dissipation coefficient is solved by an optimization method. First, the objective function is defined to measure the error between the predicted heat dissipation coefficient and the initial inversion value of the surface heat dissipation coefficient:

[0137]

[0138] Among them, h p,i is the predicted heat dissipation coefficient, and h a,i is the initial inversion value of the surface heat dissipation coefficient. Then, numerical optimization methods such as gradient descent and genetic algorithm are used to solve the minimum value of the objective function, so as to obtain the inversion value of the surface heat dissipation coefficient.

[0139] Referring to Figure 4 , the steps of analyzing the calculated value of the surface heat dissipation coefficient and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient include:

[0140] Step S400: Analyze the calculated value of the surface heat dissipation coefficient and the inversion value of the surface heat dissipation coefficient to determine the heat dissipation correction coefficient.

[0141] Among them, the heat dissipation correction coefficient refers to the coefficient for correcting the inversion value of the surface heat dissipation coefficient, which is obtained by the processing terminal calculating the quotient of the inversion value of the surface heat dissipation coefficient and the calculated value of the surface heat dissipation coefficient, and the result is reserved to two decimal places.

[0142] Step S401: Analyze the heat dissipation correction coefficient and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient.

[0143] Among them, the actual heat dissipation coefficient in this step is consistent with the actual heat dissipation coefficient in step S206, and is obtained by the processing terminal calculating the quotient between the inversion value of the surface heat dissipation coefficient and the heat dissipation correction coefficient.

[0144] Referring to Figure 5 , the steps of performing numerical simulation according to the actual heat dissipation coefficient to determine the surface heat dissipation coefficient thickness relationship model include:

[0145] Step S500: Establish a simulation calculation model of the concrete model with the actual heat dissipation coefficient as the boundary condition.

[0146] Among them, a finite element simulation calculation model is established on the finite element numerical simulation platform using the basic parameters of the concrete model, and the actual heat dissipation coefficient with different aerogel insulation layer thicknesses is used as the boundary condition of the model, so as to obtain the simulation calculation model.

[0147] Step S501: Use the simulation calculation model to perform temperature field simulation calculation analysis and obtain the characteristic point temperature data.

[0148] Among them, after establishing the simulation calculation model, the temperature field is simulated and analyzed through the simulation calculation model, and the temperature data of the characteristic points are extracted to provide data support for determining whether the boundary conditions of the simulation calculation model are reasonable subsequently.

[0149] The temperature data of the characteristic points refers to the temperature values of the characteristic points in the simulation calculation model, which are consistent with the temperature measurement points of the actual concrete model and are obtained by simulating and analyzing the temperature field through the simulation calculation model.

[0150] Step S502: Obtain the measured characteristic temperature.

[0151] Among them, the measured characteristic temperature refers to the temperature value actually measured at the corresponding characteristic points on the concrete model, which is detected by the temperature sensor and sent to the processing terminal.

[0152] Step S503: Determine whether the temperature data of the characteristic points meet the requirements of the measured characteristic temperature.

[0153] Among them, the requirements of the measured characteristic temperature refer to being within the error range of the measured characteristic temperature, and the specific error range is determined by the operator according to the actual situation.

[0154] The processing terminal determines whether the temperature data of the characteristic points are within the error range of the measured characteristic temperature, so as to determine whether the boundary conditions of the simulation calculation model are reasonable.

[0155] Step S5031: If not, optimize the boundary conditions of the simulation calculation model and continue to perform temperature field simulation and analysis using the optimized simulation calculation model.

[0156] Among them, if the processing terminal determines that the temperature data of the characteristic points are not within the error range of the measured characteristic temperature, it indicates that the boundary conditions of the simulation calculation model are set unreasonably. Therefore, a new value is selected within the adjacent interval of the actual heat dissipation coefficient to optimize the boundary conditions of the simulation calculation model, and the optimized simulation calculation model is used to continue the temperature field simulation and analysis to continue to verify the boundary conditions of the simulation calculation model.

[0157] Step S5032: If it meets the requirements, obtain the simulation value of the surface heat dissipation coefficient.

[0158] Among them, if the processing terminal determines that the temperature data of the characteristic points are within the error range of the measured characteristic temperature, it indicates that the boundary conditions of the simulation calculation model approximate the real situation at this time. Therefore, the simulation value of the surface heat dissipation coefficient is called to provide data support for determining the surface heat dissipation coefficient thickness relationship model subsequently.

[0159] The simulated surface heat dissipation coefficient refers to the surface heat dissipation coefficient obtained through simulation. When the error between the simulated temperature and the measured temperature is determined to be small, the boundary conditions of the simulation calculation model at this time are identified and called to obtain it.

[0160] Step S504: Analyze the simulated surface heat dissipation coefficient and the actual heat dissipation coefficient to determine the corrected heat dissipation coefficient.

[0161] Among them, the corrected heat dissipation coefficient refers to the heat dissipation coefficient after correction. The correction coefficient is obtained by the processing terminal calculating the quotient of the simulated surface heat dissipation coefficient and the actual heat dissipation coefficient, and then the corrected heat dissipation coefficient is obtained by calculating the product of the correction coefficient and the actual heat dissipation coefficient.

[0162] Step S505: Obtain the surface spraying thickness corresponding to the actual heat dissipation coefficient.

[0163] Among them, the surface spraying thickness refers to the actual thickness of the insulation layer on the concrete model, which is determined by the processing terminal to find the corresponding free surface according to the actual heat dissipation coefficient, and then searched in the data corresponding to the insulation layer parameters according to the free surface.

[0164] Step S506: Analyze the surface spraying thickness and the corrected heat dissipation coefficient to determine the surface heat dissipation coefficient - thickness relationship model.

[0165] Among them, the surface heat dissipation coefficient - thickness relationship model in this step is the same as the surface heat dissipation coefficient - thickness relationship model in Step S207. After determining the surface spraying thickness and the corresponding corrected heat dissipation coefficient, the processing terminal uses regression analysis to fit the relationship between the heat dissipation coefficient and the thickness:

[0166] h = q·t + e,

[0167] Among them, h is the corrected heat dissipation coefficient, t is the surface spraying thickness, and q and e are parameters. The least - squares method is used to solve the parameters q and e.

[0168] Refer to Figure 6 , the steps of controlling the preset thermal insulation construction device to make the thermal insulation layer on the concrete model according to the production - completed trigger signal and the preset thermal insulation layer parameters include:

[0169] Step S600: Control the thermal insulation construction device to cover the concrete model according to the production - completed trigger signal.

[0170] Among them, when the processing terminal receives the production - completed trigger signal, the processing terminal responds to the production - completed trigger signal, thereby controlling the thermal insulation construction device to cover the concrete model to isolate the concrete model from the outside world, providing a basic preparation for subsequent spraying of aerogel to form the thermal insulation layer.

[0171] Step S601: Control the thermal insulation construction device to clean the concrete model according to the preset moving path.

[0172] Among them, after the thermal insulation construction device covers the concrete model, the processing terminal controls the horizontal and vertical linear modules in the thermal insulation construction device to move the spray gun along the moving path, so as to clean the impurities on the surface of the concrete model, ensuring the quality of the subsequent thermal insulation layer.

[0173] The moving path refers to the path along which the horizontal and vertical linear modules control the movement of the spray gun, usually a serpentine path.

[0174] Step S602: Control the thermal insulation construction device to spray aerogel on the free surface of the concrete model according to the moving path and the thermal insulation layer parameters to form a thermal insulation layer.

[0175] Among them, after the thermal insulation construction device cleans the concrete model, the processing terminal controls the thermal insulation construction device to spray aerogel on the free surface of the concrete model according to the moving path and the thermal insulation layer parameters to form a thermal insulation layer. The specific method refers to Figure 7 the steps.

[0176] Refer to Figure 7 , the steps of controlling the thermal insulation construction device to spray aerogel on the free surface of the concrete model according to the moving path and the thermal insulation layer parameters include:

[0177] Step S700: Obtain the covering distance value of the free surface.

[0178] Among them, the covering distance value refers to the distance between the thermal insulation construction device and the free surface of the concrete model after the thermal insulation construction device covers the concrete model, which is detected by a laser rangefinder installed in the thermal insulation construction device.

[0179] Step S701: Control the thermal insulation construction device to spray aerogel on the free surface of the concrete model according to the moving path and the thermal insulation layer parameters, and obtain the spraying distance value.

[0180] Among them, after determining the covering distance value, the processing terminal controls the horizontal and vertical linear modules in the thermal insulation construction device to move the spray gun according to the moving path, and then controls the spray gun to spray aerogel on the free surface of the concrete model according to the thickness of the thermal insulation layer corresponding to the thermal insulation layer parameters, and detects the spraying distance value, providing data support for subsequent determination of whether the spraying thickness meets the requirements.

[0181] The spraying distance value refers to the distance between the thermal insulation construction device and the concrete model detected after spraying aerogel.

[0182] Step S702: Analyze the covering distance value and the spraying distance value to determine the aerogel thickness.

[0183] Among them, the aerogel thickness refers to the thickness value of the already sprayed aerogel, which is obtained by the processing terminal calculating the difference between the covering distance value and the spraying distance value.

[0184] Step S703: Determine whether the thickness of the aerogel meets the requirements of the insulation layer parameters.

[0185] Among them, the requirements of the insulation layer parameters refer to the same insulation layer thickness corresponding to the insulation layer parameters.

[0186] The processing terminal determines whether the thickness of the aerogel is the same as the insulation layer thickness corresponding to the insulation layer parameters, so as to determine whether the production of the insulation layer of the concrete model is completed.

[0187] Step S7031: If it meets the requirements, control the insulation construction device to stop spraying aerogel.

[0188] Among them, if the processing terminal determines that the thickness of the aerogel is the same as the insulation layer thickness corresponding to the insulation layer parameters, it indicates that the insulation construction device has completed the production of the insulation layer of the concrete model for this exposed surface. Therefore, control the insulation construction device to stop spraying aerogel.

[0189] Step S7032: If it does not meet the requirements, adjust the insulation construction device according to the aerogel thickness and the insulation layer parameters, and then continue to spray aerogel on the exposed surface of the concrete model.

[0190] Among them, if the processing terminal determines that the thickness of the aerogel is not the same as the insulation layer thickness corresponding to the insulation layer parameters, it indicates that the insulation construction device has not completed the production of the insulation layer of the concrete model. Therefore, the spraying flow rate of the insulation construction device will be adjusted according to the difference between the aerogel thickness and the insulation layer parameters, and then continue to spray aerogel on the exposed surface of the concrete model.

[0191] Based on the same inventive concept, an embodiment of the present application provides an aerogel insulation layer thickness determination system, including:

[0192] An acquisition module, configured to acquire a production completion trigger signal, temperature data of the entire test process, engineering insulation requirement parameters, regional air temperature values, measured characteristic temperatures, surface heat dissipation coefficient simulation values, surface spraying thickness, covering distance values, and spraying ranging values;

[0193] A memory, configured to store a program for an aerogel insulation layer thickness determination method;

[0194] A processor, the program in the memory can be loaded and executed by the processor and implement an aerogel insulation layer thickness determination method.

[0195] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0196] An embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded and executed by a processor to perform a method for determining the thickness of an aerogel thermal insulation layer.

[0197] Computer storage media include, for example, various media that can store program codes such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs.

[0198] Based on the same inventive concept, an embodiment of the present application provides an intelligent terminal including a memory and a processor, and a computer program that can be loaded and executed by the processor to perform a method for determining the thickness of an aerogel thermal insulation layer is stored on the memory.

[0199] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0200] The above are all preferred embodiments of the present application. Without limiting the protection scope of the present application accordingly, any feature disclosed in this specification (including the abstract and drawings), unless specifically stated, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A method for determining the thickness of an aerogel thermal insulation layer, characterized in that, Including: Making a concrete model within a preset test area and obtaining a completion trigger signal for the concrete model; Controlling a preset thermal insulation construction device to make a thermal insulation layer on the concrete model according to the completion trigger signal and preset thermal insulation layer parameters; Obtaining the temperature data of the entire test process of the concrete model; Analyzing the temperature data of the entire test process and the thermal insulation layer parameters to determine the surface heat dissipation coefficient - thickness relationship model of the thermal insulation layer; Obtaining engineering thermal insulation requirement parameters; Inputting the engineering thermal insulation requirement parameters into the surface heat dissipation coefficient - thickness relationship model for analysis to determine the optimal thermal insulation layer spraying thickness.

2. The method for determining the thickness of the aerogel thermal insulation layer according to claim 1, wherein The steps of analyzing the temperature data of the entire test process and the thermal insulation layer parameters to determine the surface heat dissipation coefficient - thickness relationship model of the thermal insulation layer include: Obtaining the regional air temperature value of the test area; Analyzing the temperature data of the entire test process to determine the test temperature value and the corresponding distance from the exposed surface value; Analyzing the thermal insulation layer parameters to determine the aerogel spraying thickness and the aerogel thermal conductivity; Analyzing the regional air temperature value, the test temperature value, the distance from the exposed surface value, and the aerogel thermal conductivity to determine the initial value of the surface heat dissipation coefficient inversion; Analyzing the initial value of the surface heat dissipation coefficient inversion, the aerogel spraying thickness, and the aerogel thermal conductivity to determine the calculated value of the surface heat dissipation coefficient; Analyzing the regional air temperature value, the test temperature value, the distance from the exposed surface value, the aerogel thermal conductivity, and the initial value of the surface heat dissipation coefficient inversion to determine the inversion value of the surface heat dissipation coefficient; Analyzing the calculated value of the surface heat dissipation coefficient and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient; Conducting numerical simulation based on the actual heat dissipation coefficient to determine the surface heat dissipation coefficient - thickness relationship model.

3. The method for determining the thickness of the aerogel thermal insulation layer according to claim 2, wherein The steps of analyzing the regional air temperature value, the test temperature value, the distance from the exposed surface value, the aerogel thermal conductivity, and the initial value of the surface heat dissipation coefficient inversion to determine the inversion value of the surface heat dissipation coefficient include: Associating the regional air temperature value, the test temperature value, the distance from the exposed surface value, the aerogel thermal conductivity, and the initial value of the surface heat dissipation coefficient inversion to generate a data set; Using the data set to train a preset machine - learning model and inputting the data set into the trained machine - learning model to generate a predicted heat dissipation coefficient; Analyzing the predicted heat dissipation coefficient and the initial value of the surface heat dissipation coefficient inversion to determine the inversion value of the surface heat dissipation coefficient.

4. The method for determining the thickness of the aerogel thermal insulation layer according to claim 2, characterized in that The steps of analyzing the calculated value of the surface heat dissipation coefficient and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient include: Analyzing the calculated value of the surface heat dissipation coefficient and the inversion value of the surface heat dissipation coefficient to determine the heat dissipation correction coefficient; Analyzing the heat dissipation correction coefficient and the inversion value of the surface heat dissipation coefficient to determine the actual heat dissipation coefficient.

5. The method for determining the thickness of the aerogel thermal insulation layer according to claim 2, wherein The steps of conducting numerical simulation based on the actual heat dissipation coefficient to determine the surface heat dissipation coefficient - thickness relationship model include: Establishing a simulation calculation model of the concrete model with the actual heat dissipation coefficient as the boundary condition; Using the simulation calculation model to conduct temperature field simulation calculation analysis and obtaining the temperature data of characteristic points; Obtaining the measured characteristic temperature; Judging whether the temperature data of the characteristic points meet the requirements of the measured characteristic temperature; If not, optimizing the boundary conditions of the simulation calculation model and continuing to conduct temperature field simulation calculation analysis using the optimized simulation calculation model; If it meets the requirements, obtain the simulated value of the surface heat dissipation coefficient; Analyze the simulated value of the surface heat dissipation coefficient and the actual heat dissipation coefficient to determine the corrected heat dissipation coefficient; Obtain the surface spraying thickness corresponding to the actual heat dissipation coefficient; Analyze the surface spraying thickness and the corrected heat dissipation coefficient to determine the surface heat dissipation coefficient - thickness relationship model.

6. The method for determining the thickness of the aerogel thermal insulation layer according to claim 1, characterized in that, The steps of controlling a preset thermal insulation construction device to fabricate a thermal insulation layer on a concrete model according to the fabricated trigger signal and preset thermal insulation layer parameters include: Control the thermal insulation construction device to cover the concrete model according to the fabricated trigger signal; Control the thermal insulation construction device to clean the concrete model according to the preset movement path; Control the thermal insulation construction device to spray aerogel on the exposed surface of the concrete model to form a thermal insulation layer according to the movement path and thermal insulation layer parameters.

7. The method for determining the thickness of the aerogel thermal insulation layer according to claim 6, wherein The steps of controlling the thermal insulation construction device to spray aerogel on the exposed surface of the concrete model to form a thermal insulation layer according to the movement path and thermal insulation layer parameters include: Obtain the covering distance value of the exposed surface; Control the thermal insulation construction device to spray aerogel on the exposed surface of the concrete model according to the movement path and thermal insulation layer parameters, and obtain the spraying distance measurement value; Analyze the covering distance value and the spraying distance measurement value to determine the aerogel thickness; Judge whether the aerogel thickness meets the requirements of the thermal insulation layer parameters; If it meets the requirements, control the thermal insulation construction device to stop spraying aerogel; If it does not meet the requirements, adjust the thermal insulation construction device according to the aerogel thickness and the thermal insulation layer parameters and then continue to spray aerogel on the exposed surface of the concrete model.

8. An aerogel thermal insulation layer thickness determination system, characterized in that, Include: An acquisition module for acquiring the fabricated trigger signal, the temperature data of the whole test process, and the engineering thermal insulation requirement parameters; A memory for storing the program of a method for determining the thickness of an aerogel thermal insulation layer as described in any one of claims 1 to 7; A processor, the program in the memory can be loaded and executed by the processor and implement a method for determining the thickness of an aerogel thermal insulation layer as described in any one of claims 1 to 7.

9. An intelligent terminal, characterized in that, Include a memory and a processor, and a computer program capable of being loaded and executed by the processor is stored on the memory, the computer program implementing a method for determining the thickness of an aerogel thermal insulation layer as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Store a computer program capable of being loaded and executed by the processor, the computer program implementing a method for determining the thickness of an aerogel thermal insulation layer as described in any one of claims 1 to 7.

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