Prefabricated building thermal insulation performance self-adaptive regulation method

Abstract

The application discloses a kind of adaptive regulation and control methods for the thermal performance of prefabricated building, belong to prefabricated building energy saving and building thermal regulation and control field, to solve the problem that local thermal bridge and material state fluctuation caused by component joint, connecting node, embedded part periphery and material junction are insufficient in adaptability of fixed insulation parameter, the application divides thermal regulation and control unit by correlating material, node, climate, specification, batch, maintenance and field temperature and humidity data, determines the thermal performance state and thermal bridge risk state, determines insulation layer configuration, node plugging, connecting site processing and construction sequence within the candidate parameter constraint boundary, and uses feedback during construction and retest deviation closed-loop calibration after construction to realize adaptive regulation and control to local thermal bridge and cross-batch insulation parameter.

Description

Technical Field

[0001] This invention relates to the field of energy conservation and thermal control of prefabricated buildings, and particularly to an adaptive control method for the thermal insulation performance of prefabricated buildings. Background Technology

[0002] Prefabricated buildings typically use precast wall panels, composite slabs, and other cement products for on-site assembly. Due to the existence of joints, connection nodes, and embedded parts between components, as well as the differences in thermal properties between different materials, local heat flow concentrations can easily form at component joints, connection node areas, around embedded parts, and material interfaces, causing local heat transfer coefficients to increase and thermal bridges to form.

[0003] The moisture content, density, thickness deviation, and curing conditions of cement-based insulation materials can affect the actual insulation performance of components. When the same design parameters are applied to different climate regions, component specifications, and material batches, differences in material condition and construction environment may cause fluctuations in insulation performance. Existing fixed insulation layer thickness and uniform node parameters often fail to account for local thermal bridges and differences in material condition. Average heat transfer indices may also mask high-risk areas, leading to increased building energy consumption, unstable indoor thermal environment, and subsequent repairs.

[0004] Therefore, there is a need for an adaptive control method for the thermal insulation performance of prefabricated buildings that can address the shortcomings of existing technologies. Summary of the Invention

[0005] The purpose of this invention is to provide an adaptive control method for the thermal insulation performance of prefabricated buildings. This method collects and correlates component material parameters, node structural parameters, climate zones, component specifications, material batches, curing conditions, and on-site temperature and humidity data during construction. It divides the building into thermal control units according to component areas, joint areas, connection node areas, the periphery of embedded parts, and material interfaces, determining the thermal insulation performance state and thermal bridge risk state respectively. Within the candidate parameter constraints formed by climate zones, component specifications, material batches, and curing conditions, the material state correction amount and node structural parameters work together to determine the insulation layer configuration, node sealing material usage, connection treatment parameters, and construction sequence. During construction, the unconstructed thermal control units are updated based on on-site feedback. After construction, the control parameters of similar thermal control units and subsequent component batches are calibrated based on retest deviations, thus forming a closed-loop control process of pre-construction setting, in-construction feedback, post-construction calibration, and anomaly regression.

[0006] This invention provides a method for adaptive control of the thermal insulation performance of prefabricated buildings, comprising: S1. Collect component material parameters, node structural parameters, climate zone, component specifications, material batch, curing conditions and on-site temperature and humidity data, and correlate them according to component identification, spatial location and construction sequence to obtain component thermal correlation data; S2. Based on the thermal correlation data of the components, the components are divided into five types of thermal control units: component area, joint area, connection node area, periphery of embedded parts, and material interface. The insulation performance status, thermal bridge risk status, and material status correction amount of each thermal control unit are determined to obtain the control unit status set. S3. Using the selectable range defined by climate region, component specifications, material batch and maintenance conditions as the candidate parameter constraint boundary, and based on the state set of the control unit, the insulation layer configuration, the amount of node sealing material, the treatment parameters of the connection part and the construction sequence are determined together with the material state correction amount and the node structure parameters to obtain the construction control scheme. S4. Execute the construction control plan, update the control parameters and construction sequence of the non-constructed thermal control units according to the temperature and humidity of the construction site and the actual construction parameters, and complete the construction. S5. Re-measure the on-site temperature, humidity and thermal performance indicators of each thermal control unit after construction is completed, calculate the re-measurement deviation relative to the target thermal performance indicators, and calibrate the control parameters of similar thermal control units and subsequent component batches accordingly to form an updated control parameter set.

[0007] Optionally, S1 includes: The thermal conductivity, moisture content, density, design thickness, and measured thickness of the cement-based insulation material are obtained as the component material parameters, and the joint width, connector size and arrangement, embedded part size and arrangement, and material interface position are obtained as the node structure parameters. The component production number, material batch number, and construction procedure number are bound to the collection time and spatial location, and the binding results are written into the component thermal correlation data.

[0008] Optionally, S2 includes: The thermal control unit is established according to the influence range of the component body, joints, connectors, embedded parts, and the spatial boundaries on both sides of the material interface. The material condition correction amount is determined based on the deviation of moisture content from the target moisture content of the corresponding material batch, the deviation of density from the target density of the corresponding material batch, the deviation of measured thickness from designed thickness, and the deviation of curing conditions from preset curing conditions. The thermal conductivity parameters of the material, corrected by the material state correction amount, are used as the thermal insulation performance state, and together with the node structure parameters, are used to determine the thermal bridge risk state. Furthermore, it also includes: determining the thermal bridge risk value of each thermal control unit based on the difference between the target local heat transfer coefficient and the predicted local heat transfer coefficient after correction by the material state correction amount, and the difference between the predicted inner surface temperature and the target inner surface temperature. The larger the value of the thermal bridge risk value, the higher the thermal bridge risk. The thermal bridge risk value is assigned to the corresponding thermal bridge risk state according to the interval boundary determined by the target local heat transfer coefficient and the target inner surface temperature. When summarizing at the component level and wall level, retain the thermal bridge risk value and spatial location of each thermal control unit, sort each thermal bridge risk value from largest to smallest, and output the thermal bridge risk value with the sort number one and the risk distribution result weighted by the area of ​​the thermal control unit.

[0009] Optionally, S3 includes: The allowable range of target thermal performance indicators and the range of the first parameter are determined based on the energy-saving design indicators corresponding to the climate region. The range of the second parameter is determined based on the workable dimensions corresponding to the component specifications. The range of the third parameter is determined based on the performance test results of the material batches. The range of the fourth parameter is determined based on the material construction requirements corresponding to the curing conditions. The first parameter range, the second parameter range, the third parameter range, and the fourth parameter range are respectively applied to the corresponding parameters in the insulation layer configuration, the amount of node sealing material, the connection part treatment parameters, and the construction sequence to form the candidate parameter constraint boundary, and the parameter combination that satisfies the candidate parameter constraint boundary constitutes the candidate parameter feasible domain. The construction control scheme is determined based on the deviation of the predicted thermal performance index of each candidate combination within the feasible domain of the candidate parameters from the allowable range of the target thermal performance index and the amount of material used. When the feasible domain of the candidate parameters is empty, stop outputting the construction control scheme, record the parameter range that causes the conflict, and re-collect or verify the input data used to determine the parameter range before re-establishing the feasible domain of the candidate parameters. Furthermore, it also includes: obtaining the joint width and joint depth and incorporating them as components of the node structure parameters; The type of insulation material and the thickness of the insulation layer are determined according to the insulation performance status and the material status correction amount. The amount of node sealing material is determined according to the material status correction amount and in combination with the joint width and joint depth. The size of the thermal insulation pad, the coverage range of the connector and the overlap size of the material interface are determined according to the node structural parameters and in combination with the thermal bridge risk status as the processing parameters of the connection part. The thermal control units that predict local heat transfer coefficients exceeding the target local heat transfer coefficients or predict internal surface temperatures failing to reach the target internal surface temperatures are ranked before other thermal control units. They are then sorted according to the time required for material curing and the dependencies between preceding and subsequent processes. The construction sequence is determined within the applicable time of the material and the temperature and humidity range of the applicable environment.

[0010] Optionally, S4 includes: The construction control scheme is divided into thermal control units that have been constructed and thermal control units that have not been constructed, according to the construction sequence. Obtain the on-site temperature and humidity, actual material usage, and actual connection treatment parameters of the constructed thermal control unit, and compare them with the corresponding set values ​​to obtain the deviation during construction; The material condition correction amount or node structure parameters are corrected according to the deviations in the construction. The thermal bridge risk status of the unconstructed thermal control unit is re-determined based on the corrected material condition correction amount and node structure parameters. Within the candidate parameter constraint boundary, the corrected material condition correction amount and node structure parameters are used together to re-determine the insulation layer configuration, node sealing material usage, and connection treatment parameters of the unconstructed thermal control unit. The construction sequence is adjusted according to the re-determined thermal bridge risk status and process dependency relationship. Write the installed thermal control units, actual construction parameters, construction deviations, and update results into the construction execution record; Furthermore, it also includes setting allowable deviation ranges for on-site temperature and humidity, actual material usage, and actual connection part treatment parameters, respectively, determined by material construction instructions, component design documents, and on-site process documents; When any feedback value during construction exceeds the corresponding allowable deviation range, the construction of the unconstructed thermal control unit associated with that feedback value is suspended, and the construction control scheme is regenerated after correcting the material state correction amount or node structure parameters with the construction deviation. When there is no construction control scheme that satisfies the candidate parameter constraint boundary, the non-constructed thermal control unit remains suspended, the most recent construction control scheme that satisfies the candidate parameter constraint boundary is taken as the rollback candidate scheme, and the rollback candidate scheme is re-verified based on the corrected material state correction amount, node structural parameters and current construction feedback values. Construction will continue only if the candidate rollback scheme satisfies the candidate parameter constraint boundary and the current construction feedback value is within the corresponding allowable deviation range; otherwise, the process will remain paused and the cause of the anomaly and the verification result will be recorded.

[0011] Optionally, S5 includes: The surface temperature, internal temperature, ambient temperature and humidity, and local heat transfer coefficient were remeasured at the same measurement points and under the same measurement conditions as before construction. The retest results are compared with the target thermal performance indicators corresponding to each measuring point to obtain the retest deviation recorded by the thermal control unit. The calibration targets are selected based on the same thermal control unit type, climate region, component specifications, material batch and maintenance conditions, and the material condition correction amount and the correspondence between the thermal bridge risk status and the control parameters are corrected by the retest deviation. Furthermore, it also includes: writing the control parameters before calibration, the retest deviation, the control parameters after calibration, the applicable thermal control unit type, climate region, component specifications, material batch and curing conditions into the parameter version record; Before applying the calibrated control parameters to a thermal control unit or subsequent component batch with the same thermal control unit type, climate region, component specifications, material batch, and maintenance conditions, calculate the calibrated predicted thermal index based on the component thermal correlation data, and calculate the predicted thermal index before calibration based on the control parameters before calibration. Determine the allowable range of target thermal performance indicators based on the energy-saving design indicators corresponding to the climate region; When the calibrated predicted thermal performance index exceeds the allowable range of the target thermal performance index, or when the absolute value of the deviation between the calibrated predicted thermal performance index and the target thermal performance index is greater than the absolute value of the deviation between the predicted thermal performance index and the target thermal performance index before calibration, the parameter version record is called to restore the control parameters before calibration, and the retest deviation that triggers the restoration is marked as an abnormal sample.

[0012] The beneficial effects of this invention are: 1. By setting insulation performance status and thermal bridge risk status for component area, joint area, connection node area, perimeter of embedded parts and material interface respectively, and summarizing them according to component and wall surface, it is possible to identify local thermal bridges that may be covered by the average heat transfer index, so that the insulation configuration corresponds to the local risk location.

[0013] 2. By using material condition corrections and node structural parameters together within the candidate parameter constraints formed by climate region, component specifications, material batches, and curing conditions to determine the insulation layer configuration, node sealing material usage, connection treatment parameters, and construction sequence, the adaptability of control parameters under different regional, specification, and batch conditions can be improved.

[0014] 3. Through a closed-loop process of pre-construction setting, in-construction feedback, post-construction calibration, and pause, rollback, and re-verification in case of abnormalities, the risk of continuous deviation of construction parameters caused by changes in on-site conditions can be reduced, and the retest results can be used for subsequent batches of similar thermal control units and components. Attached Figure Description

[0015] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of the adaptive control method for thermal insulation performance of prefabricated buildings according to the present invention.

[0016] Figure 2 This is a flowchart of the dynamic feedback update step in the S4 construction process of the present invention. Detailed Implementation

[0017] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.

[0018] refer to Figures 1-2 An adaptive control method for the thermal insulation performance of prefabricated buildings, comprising: S1. Collect component material parameters, node structural parameters, climate zone, component specifications, material batch, curing conditions and on-site temperature and humidity data, and correlate them according to component identification, spatial location and construction sequence to obtain component thermal correlation data; S2. Based on the thermal correlation data of the components, the components are divided into five types of thermal control units: component area, joint area, connection node area, periphery of embedded parts, and material interface. The insulation performance status, thermal bridge risk status, and material status correction amount of each thermal control unit are determined to obtain the control unit status set. S3. Using the selectable range defined by climate region, component specifications, material batch and maintenance conditions as the candidate parameter constraint boundary, and based on the state set of the control unit, the insulation layer configuration, the amount of node sealing material, the treatment parameters of the connection part and the construction sequence are determined together with the material state correction amount and the node structure parameters to obtain the construction control scheme. S4. Execute the construction control plan, update the control parameters and construction sequence of the non-constructed thermal control units according to the temperature and humidity of the construction site and the actual construction parameters, and complete the construction. S5. Re-measure the on-site temperature, humidity and thermal performance indicators of each thermal control unit after construction is completed, calculate the re-measurement deviation relative to the target thermal performance indicators, and calibrate the control parameters of similar thermal control units and subsequent component batches accordingly to form an updated control parameter set.

[0019] In this specific embodiment, S1 includes: A unique component production number is established for each precast component entering the construction site, and this component production number is used as the component identifier. The component identifier remains unchanged during component production, transportation, on-site acceptance, insulation construction, and retesting. The component specifications are determined based on the component design documents and the results of on-site verification. The component specifications include component length, component width, component thickness, insulation layer design thickness, joint design location, connector design location, and embedded part design location. The climate zone is determined by the building energy-saving design documents, and the climate zone is written into the data record corresponding to the component. A batch number is established for each batch of cement-based thermal insulation materials that arrives on site. The batch number is linked to the factory inspection documents, on-site re-inspection documents, and on-site sampling and testing results of that batch of materials. For each process involving insulation layer construction, joint sealing, connection treatment, and material interface treatment, a construction process number is established. The construction process number is set incrementally according to the construction sequence determined by the on-site process documents. The thermal conductivity, moisture content, density, design thickness, and measured thickness of the cement-based insulation material are collected as component material parameters. Among them, the thermal conductivity is obtained from the steady-state flat plate thermal conductivity test results, the moisture content is determined by the ratio of the mass difference before and after drying to the mass after drying, the density is determined by the ratio of the sample mass to the sample volume, the design thickness is read from the component design documents, and the measured thickness is measured on the component surface according to the preset measuring point grid, and the corresponding measuring point values ​​are recorded and the measuring point positions are retained. The joint width, connector size and location, embedded part size and location, and material interface location are collected as node structural parameters. The joint width is determined by the measured spacing between adjacent components after installation. The connector size includes the connector length, width, thickness, and exposed length. The embedded part size includes the embedded part length, width, thickness, and exposed boundary size. The location and material interface location are recorded using the same component spatial coordinate system. The component's spatial coordinate system has its origin at the lower left corner of the component's inner surface and its coordinate system along the component's length direction. The axis is defined by the height direction of the component. The axis is defined by the thickness direction of the component. Axis, spatial position using coordinates It means that, among them, Indicates the first The spatial location corresponding to each data collection record Indicates the first The coordinates of the data collected along the length of the component are recorded. Indicates the first The coordinates of the data collected along the height direction of the component are recorded. Indicates the first The coordinates of the data collected are recorded along the thickness direction of the component; Curing conditions include curing temperature, relative humidity, and curing duration. On-site temperature and humidity data include ambient temperature and relative humidity. These conditions are obtained from component production records and on-site curing records. On-site temperature and humidity data are collected by temperature and humidity sensors placed within the component construction area, according to the time period corresponding to the construction process number. After completing the above data collection, the component production number, material batch number, and construction process number are linked to the collection time and spatial location to form a single collection record in the component's thermal correlation data. A single collection record is represented as... ,in, Indicates the first Thermal correlation data of structural components Indicates the sequence number of the collected record. Indicates the first The component production number corresponding to each data collection record Indicates the first The material batch number corresponding to each data collection record. Indicates the first The construction process number corresponding to each data collection record Indicates the first The collection time of each data collection record. Indicates the first The spatial location corresponding to each data collection record Indicates the first The set of component material parameters corresponding to each data collection record. This includes thermal conductivity, moisture content, density, design thickness, and measured thickness. Indicates the first The set of node structure parameters corresponding to each collection record. This includes joint width, connector dimensions and placement, embedded part dimensions and placement, and material interface location. Indicates the first The climate region corresponding to each collection record Indicates the first The component specifications corresponding to each data collection record Indicates the first The set of maintenance conditions corresponding to each data collection record. This includes maintenance temperature, relative humidity, and maintenance duration. Indicates the first The ambient temperature corresponding to each data collection record. Indicates the first The relative humidity of the on-site environment corresponding to each data collection record; All individual data collection records are grouped according to the component production number, mapped to the corresponding component area according to the spatial location, and sorted according to the construction process number and collection time to obtain the component thermal correlation data. The component thermal correlation data is then written into the construction data storage unit so that the material state, node structure, curing conditions, and on-site temperature and humidity of the same component, the same material batch, the same construction process, and the same spatial location can be directly called by the subsequent step S2.

[0020] In this specific embodiment, S2 includes: From the component thermal correlation data, all individual data acquisition records corresponding to the same component are extracted according to the component production number, and thermal control units are established in the same component spatial coordinate system. The unit number of the thermal control unit is denoted as... Thermal control unit types include component area, joint area, connection node area, periphery of embedded parts, and material interface; The component area is established according to the outer contour of the component body, and the space already occupied by the joint area, connection node area, embedded parts perimeter and material interface is deducted; The joint area is established according to the measured joint width between the edges of adjacent components. Its spatial boundary is half of the measured joint width on both sides along the joint center line, and extends through the component thickness to the area where the insulation layer is located. The connection node area is established according to the outer contour of the connector, and the influence range of the connector is defined as the range of the outer contour of the connector extending outward from the plane direction and the thickness direction of the component by 50mm. The perimeter of the embedded part is established according to the outer contour of the embedded part, and the influence range of the embedded part is defined by extending 50mm outward from the outer contour of the embedded part in both the plane and thickness directions of the component. The material interface is established according to the position of the material interface, and the spatial boundary on both sides of the material interface is defined by extending 30mm outward from the material interface on both sides. When the spatial boundaries of different types of thermal control units overlap, the affiliation is determined according to the order of the perimeter of the embedded parts, the connection node area, the joint area, the material interface, and the component area, so that each spatial location is assigned to only one thermal control unit. spatial location A single acquisition record falling within the boundary of the corresponding thermal control unit is assigned to that thermal control unit. When the measurement point is located on the boundary line of two thermal control units, it is assigned to the thermal control unit that is ranked earlier in the above order. When there is no thickness measurement point in a certain thermal control unit, the thickness measurement point value closest to the geometric center of the thermal control unit is mapped to the measured thickness of the thermal control unit, and the mapping distance is recorded. The arithmetic mean of the thermal conductivity, moisture content, density, and measured thickness of each component belonging to the same thermal control unit is taken to obtain the thermal conductivity, moisture content, density, and measured thickness of that thermal control unit. The design thickness is read from the component design document corresponding to that thermal control unit. The target moisture content and target density of the corresponding material batch are read from the material batch inspection record. The curing temperature, curing relative humidity, and curing duration are read from the component production record and on-site curing record. The material condition correction, the material thermal conductivity parameter corrected by the material condition correction, the thermal bridge risk value, and the area-weighted risk distribution result are determined according to the following formula: , , , ; in, Indicates the first Material state correction amount for each thermal control unit Indicates the first Moisture content of each thermal control unit Indicates the first The batch of materials belonging to each thermal control unit Target moisture content, Indicates the first The material batch number corresponding to each thermal control unit. Indicates the first The density of each thermal control unit, Indicates material batch Target density, Indicates the first The design thickness of each thermal control unit Indicates the first The measured thickness of each thermal control unit Indicates the first The curing temperature corresponding to each thermal control unit is converted to Kelvin temperature. This indicates the preset curing temperature, which is 293.15K. Indicates the first The relative humidity for each thermal control unit is recorded as a dimensionless value from 0 to 1. This indicates the preset relative humidity for curing and takes... Indicates the first Maintenance time corresponding to each thermal control unit Indicates the preset maintenance time and takes This represents the moisture content correction factor and takes... Represents the density correction factor and takes Indicates the thickness correction factor and takes Indicates the maintenance condition correction factor and takes Indicates the first The measured thermal conductivity of each thermal control unit Indicates the first The thermal conductivity parameters of the material after correction by the material state correction amount in each thermal control unit, and As a measure of the thermal insulation performance of this thermal control unit, Indicates the first Thermal bridge risk value of each thermal control unit Indicates the first The predicted local heat transfer coefficient of each thermal control unit after correction by material condition adjustment. Indicates the first The target local heat transfer coefficient corresponding to each thermal control unit Indicates the first Predicted internal surface temperature of each thermal control unit Indicates the first The target internal surface temperature corresponding to each thermal control unit Represents the weight of the local heat transfer coefficient deviation and takes Indicates the weight of the internal surface temperature deviation and takes This means taking the larger value between 0 and the value within the parentheses. This indicates a summary object, where the summary object is a single component or a single wall surface. Indicates the thermal bridge risk status number. Indicates the first Thermal bridge risk status number for each thermal control unit Indicates the first The area formed by the projection of each thermal control unit onto the inner surface of the component. Represents a summary object The risk status number of the thermal bridge is The area ratio of the thermal control unit; Calculated Limited to Within the range, when When it is less than -0.20, take -0.20. When the value is greater than 0.50, take 0.50 to avoid the corrected material thermal conductivity parameters exceeding the physical range of cement-based insulation materials due to single anomalies in moisture content, density, thickness, or curing conditions; predict the local heat transfer coefficient. and predicting the internal surface temperature The finite volume thermal prediction model is used, which takes the spatial boundary of the thermal control unit as the computational domain and the material thermal conductivity parameters corrected by the material state correction factor. As a parameter for thermal conductivity of cement-based insulation materials, the steps are as follows: The obtained node structural parameters are used as geometric inputs for joints, connectors, embedded parts and material interfaces. The thermal conductivity parameters of concrete, metal connectors, embedded parts and interface materials in the component design documents and material testing documents are used as the thermal conductivity parameters of the corresponding material units. The finite volume thermal prediction model divides the computational domain into a three-dimensional volume grid. The grid side length is 10mm in the ordinary component area, and 5mm in the joint area, connection node area, periphery of embedded parts and material interface. Each grid cell is assigned only one material thermal conductivity parameter, and a linear equation system is established between grid cells according to the steady-state thermal conductivity balance relationship. The indoor boundary temperature is taken as 293.15K, and the outdoor boundary temperature is taken as the winter outdoor calculation temperature in the energy-saving design document corresponding to the climate zone. The indoor surface heat transfer thermal resistance is taken as... The heat exchange thermal resistance of the outdoor side surface is taken The computational domain is cut off by an adiabatic boundary, and the residuals from solving the linear equations are less than [a certain value]. The iteration stops when the temperature difference between indoor and outdoor temperatures is reached; the predicted local heat transfer coefficient is obtained by dividing the steady-state heat flow generated by the indoor-outdoor temperature difference in the computational domain by the area of ​​the thermal control unit and the indoor-outdoor temperature difference. The lowest temperature in the grid nodes on the indoor side surface is used as the predicted inner surface temperature. ; Target local heat transfer coefficient The target internal surface temperature is obtained from the energy-saving design indicators and component design documents corresponding to the climate region. Determined based on the indoor design dew point temperature plus 2K, and not lower than 289.15K; based on the thermal bridge risk value. Number the thermal bridge risk status When it is assigned to the corresponding interval hour And record it as a qualified state, when hour And mark it as an "attend" status, when hour And record it as the control state, when hour And recorded as a high-risk state, the interval boundary is established on Relative to the target local heat transfer coefficient Normalization bias and Relative to the target inner surface temperature Based on the normalized bias, the thermal control unit that predicts the local heat transfer coefficient to exceed the target local heat transfer coefficient or predicts the internal surface temperature to be lower than the target internal surface temperature obtains a thermal bridge risk value greater than zero, and the larger the thermal bridge risk value, the higher the thermal bridge risk. When summarizing at the component level, a single component is used as the summarization object. When summarizing at the wall level, the same wall surface assembled from multiple components is used as the summarization object. Retain the thermal bridge risk value for each thermal control unit. Thermal bridge risk status number Spatial location Corresponding unit space boundary and area Sort all thermal bridge risk values ​​within the same summary object in descending order of value, output the thermal bridge risk value with the sort number 1 and its corresponding thermal control unit type and spatial location, and then sort them according to... Output the area-weighted risk distribution results for the compliant state, the concerned state, the controlled state, and the high-risk state. Finally, write the unit number, thermal control unit type, spatial boundary, material state correction amount, thermal insulation performance state, predicted local heat transfer coefficient, predicted internal surface temperature, thermal bridge risk value, thermal bridge risk state, and component-level and wall-level summary results of each thermal control unit into the control unit state set.

[0021] In this specific embodiment, S3 includes: Read the first one from the state set of the control unit. Thermal control unit type, spatial boundary, and material state correction amount for each thermal control unit. Thermal insulation performance status Thermal bridge risk value Thermal bridge risk status number Predicting the local heat transfer coefficient Predicting the internal surface temperature And the corresponding node structure parameters, and read the climate region corresponding to the thermal control unit from the component thermal correlation data obtained in step S1. Component specifications Material batch number and maintenance conditions; For the joint area, read the joint width and measure the joint depth at the joint cross-section. Add the joint width and joint depth to the node structure parameters. Record the joint depth according to the vertical distance from the joint opening to the inner boundary of the insulation layer. For the connection node area, read the length, width, thickness, exposed length, and location of the connector; for the perimeter of the embedded part, read the length, width, thickness, exposed boundary dimensions, and location of the embedded part; for the material interface, read the location of the material interface and the thickness of the adjacent material; according to the climate region... The corresponding energy-saving design indicators determine the allowable range of the target thermal performance indicators and the range of the first parameter. The allowable range of the target thermal performance indicators includes the allowable range of the local heat transfer coefficient and the allowable range of the internal surface temperature. The upper limit of the allowable range of the local heat transfer coefficient is taken as the target local heat transfer coefficient from step S2. The lower limit of the allowable range for local heat transfer coefficient is taken as The lower limit of the allowable range of inner surface temperature is taken as the target inner surface temperature in step S2. The upper limit of the allowable range of inner surface temperature is taken as the indoor side boundary temperature of 293.15K. The first parameter range also includes the thermal conductivity grade of the insulation material, the lower limit of the insulation layer thickness, the continuity requirements of node sealing, and the additional thermal insulation treatment requirements of thermal bridge parts required to meet the energy-saving design indicators of the climate zone. According to component specifications The corresponding workable dimensions determine the range of the second parameter. The range of the second parameter includes that the thickness of the insulation layer shall not exceed the reserved thickness of the insulation of the component, the amount of sealing material used at the node shall not exceed the upper limit formed by the geometric volume of the joint and the amount of material required for dense filling, the size of the thermal insulation pad layer shall not interfere with the installation holes of the connectors, the exposed boundaries of the embedded parts and the edges of the components, the coverage of the connectors shall not exceed the spatial boundary of the connection node area, and the overlap size of the material interface shall not exceed the width that the adjacent material can cover. According to material batch number The corresponding performance test results determine the range of the third parameter, which includes the type of thermal insulation material that passed the batch test, the range of measured thermal conductivity, the range of apparent density, the wet density of the sealing material, the curing shrinkage rate, the limit of dosage per unit area, and the applicable time of the material. The range of the fourth parameter is determined based on the material construction requirements corresponding to the curing conditions. The range of the fourth parameter includes the range of ambient temperature, relative humidity, minimum curing time for a single process, interval between adjacent processes, and construction sequence constraints, which are jointly defined by the material construction instructions, component design documents, and on-site process documents. The first, second, third, and fourth parameter ranges are applied to the corresponding parameters in the insulation layer configuration, node sealing material usage, connection treatment parameters, and construction sequence, respectively. An exhaustive constraint screening model is used to generate candidate parameter combinations. The exhaustive constraint screening model takes the thermal control unit as the object, the insulation material type that has passed the batch inspection as the discrete candidate, enumerates the insulation layer thickness with a step size of 5 mm, enumerates the node sealing material usage with a construction measurement accuracy of 0.05 kg, and enumerates the insulation pad length, insulation pad width, insulation pad thickness, connector coverage area, and material interface overlap size with a step size of 5 mm. The construction sequence number is generated according to the thermal bridge risk priority and process dependency relationship. Each candidate parameter combination is denoted as ,in, Indicates the first The first thermal control unit A number of candidate parameter combinations This includes the type of insulation material, the thickness of the insulation layer, the amount of sealing material used at joints, the size of the insulation pad, the coverage of the connectors, the overlap size of the material interface, and the construction sequence number; According to thermal insulation performance status and material condition correction amount Determine the type of insulation material and the thickness of the insulation layer, when When the value is greater than zero, the candidate insulation layer thickness is enumerated from the thickness range jointly defined by the first parameter range and the second parameter range towards the larger thickness direction. When the thickness of the candidate insulation layer is less than or equal to zero, it shall still not be lower than the lower limit of the thickness defined by the first parameter range. Correction amount based on material condition The amount of joint sealing material used is determined by combining the joint width, joint depth, and joint area length. The amount of joint sealing material used is based on the joint geometric volume, the wet density of the sealing material, the curing shrinkage rate, and... The resulting material condition correction coefficients are jointly determined and rounded to a construction measurement accuracy of 0.05 kg. Based on node structural parameters and combined with thermal bridge risk status number Determine the treatment parameters for the connection points and assign a thermal bridge risk status number. The outer dimensions of the thermal insulation pad, the coverage area of ​​the connectors, and the overlap dimensions of the material interfaces are taken from the basic values ​​in the corresponding construction documents, and the thermal bridge risk status number is determined. When the base value is increased by 10mm, the thermal bridge risk status number is... When the base value is increased by 20mm, the thermal bridge risk status number is... When the base value is increased by 30mm, the increased size is still limited by the range of the second parameter. For each candidate parameter combination, the finite volume thermal prediction model from step S2 is used to predict thermal indices. The computational domain, mesh size, boundary conditions, surface heat transfer resistance, and solution residuals of the model remain unchanged. The candidate insulation layer thickness is written into the geometric boundary of the insulation layer. The amount of candidate node sealing material is converted into joint filling density and written into the joint area material parameters. The candidate insulation pad size is written into the geometric boundary of the insulation layer between the connector and the component. The candidate connector coverage area is written into the coverage material boundary of the exposed part of the connector. The candidate material interface overlap size is written into the coverage boundary of the adjacent material. Thus, the first... The thermal control unit in the first The predicted local heat transfer coefficient and predicted internal surface temperature under a combination of candidate parameters; the feasible region of candidate parameters and construction control scheme are determined according to the following formula: , , ; in, Indicates the first Feasible domain of candidate parameters for each thermal control unit Indicates the serial number of the thermal control unit. Indicates the first The first thermal control unit A number of candidate parameter combinations Indicates the candidate parameter combination index. Indicates climate region The first parameter range formed by the corresponding energy-saving design indicators Indicates by component specifications The second parameter range formed by the corresponding workable dimensions Indicated by material batch number The corresponding performance test results form the range of the third parameter. This indicates the range of the fourth parameter, formed by the material and construction requirements corresponding to the curing conditions. This indicates that all parameter ranges are satisfied simultaneously. Indicates the first The lower limit of the allowable range of local heat transfer coefficient for each thermal control unit. Indicates the first The upper limit of the allowable range of local heat transfer coefficient for each thermal control unit. Indicates the first The thermal control unit in the first Predicted local heat transfer coefficient under a combination of candidate parameters Indicates the first The lower limit of the allowable range of internal surface temperature for each thermal control unit. Indicates the first The upper limit of the allowable range of internal surface temperature for each thermal control unit. Indicates the first The thermal control unit in the first Predicted inner surface temperature under a combination of candidate parameters Indicates the first The thermal control unit in the first Normalized deviation of predicted thermal performance indicators relative to the allowable range of target thermal performance indicators under a combination of candidate parameters Indicates the first The local heat transfer coefficient of each thermal control unit is allowed to be the center value of the interval and is taken as follows. Indicates the first The center value of the allowable range of the inner surface temperature of each thermal control unit is taken as... , This represents the absolute value operation. Indicates the first The selected candidate parameter combination number for each thermal control unit This indicates the index of the candidate parameter combination that minimizes the target value within the parentheses. Indicates the weight of the deviation of thermal performance indicators and takes Indicates the weight of material usage and takes Indicates the first The thermal control unit in the first The total amount of thermal insulation material, joint sealing material, thermal insulation padding material, and covering material used, converted to mass under each candidate parameter combination. Indicates the first The maximum total material consumption corresponding to each combination of candidate parameters within the feasible domain of the candidate parameters for each thermal control unit; when the total material consumption of each combination of candidate parameters within the feasible domain is zero. Take 1 kg; Determined according to the above formula Afterwards, The type and thickness of the insulation material are used as the insulation layer configuration for this thermal control unit. The amount of node sealing material used is taken as the amount of node sealing material used in this thermal control unit. The dimensions of the insulation layer, the coverage area of ​​the connectors, and the overlap dimensions of the material interfaces are used as the connection parameters for this thermal control unit. When determining the construction sequence, thermal control units whose predicted local heat transfer coefficient exceeds the target local heat transfer coefficient or whose predicted inner surface temperature does not reach the target inner surface temperature are placed before other thermal control units, i.e. The thermal control unit is designated as the priority construction target, and within the priority construction target, construction is carried out according to the thermal bridge risk value. Sort by size from largest to smallest; For thermal control units with the same thermal bridge risk value, the order of the process is based on the sequence of joint sealing, connection node treatment, embedded part perimeter treatment, material interface overlap treatment, and component area insulation layer construction. For thermal control units with material curing requirements, the time to complete the previous process plus the time required for the corresponding material curing is taken as the earliest start time of the next process. For periods when the ambient temperature and relative humidity exceed the range of the fourth parameter, the construction of the corresponding thermal control unit will not be scheduled, and its construction sequence will be postponed until the ambient temperature and relative humidity both fall within the range of the fourth parameter. When the feasible region of candidate parameters for any thermal control unit When empty, stop outputting the construction control scheme containing the thermal control unit, record the first, second, third, and fourth parameter ranges that cause conflict, and simultaneously record the corresponding component production number, thermal control unit type, spatial boundary, climate zone, component specifications, material batch number, curing conditions, joint width, joint depth, connector size, embedded part size, and material interface position. Then, re-collect or verify the input data used to determine the above parameter ranges, and re-establish the feasible domain of candidate parameters; when all thermal control units have obtained the corresponding candidate parameter combination sequence number... Then, the insulation layer configuration, node sealing material usage, connection treatment parameters, construction sequence, predicted local heat transfer coefficient, predicted inner surface temperature and total material usage of each thermal control unit are summarized to form a construction control plan, and the construction control plan is written into the construction execution record for use in step S4.

[0022] In this specific embodiment, S4 includes: The construction sequence, insulation layer configuration, node sealing material usage, connection treatment parameters and corresponding set values ​​of each thermal control unit are read from the construction control plan. The thermal control units are divided into a set of thermal control units that have been constructed and a set of thermal control units that have not been constructed according to the completion mark in the construction execution record. Thermal control units that have completed insulation layer laying, node sealing, connection treatment and have been confirmed by on-site records are included in the set of thermal control units that have been constructed. Thermal control units that have not yet started construction or have been suspended but have not completed the corresponding procedures are included in the set of thermal control units that have not been constructed. For each constructed thermal control unit, the ambient temperature, relative humidity, actual material usage, and actual connection treatment parameters are collected during the construction period of the thermal control unit. The ambient temperature and relative humidity are continuously collected by temperature and humidity sensors in the same construction area in step S1 according to the construction procedure number and the arithmetic mean is taken during the construction period. The actual material usage is obtained by subtracting the remaining recovery amount from the difference in material weighing before and after construction. The actual connection treatment parameters are obtained by on-site measurement and include the actual insulation layer thickness, actual joint filling depth, actual insulation pad length, actual insulation pad width, actual insulation pad thickness, actual connector wrapping length, actual connector wrapping width, and actual material interface overlap size. Allowable deviation ranges are set for the on-site ambient temperature, on-site relative humidity, actual material usage, and actual connection part treatment parameters. The allowable deviation range for on-site ambient temperature is the intersection of the allowable temperature ranges in the material construction instructions, component design documents, and on-site process documents. The allowable deviation range for on-site relative humidity is the intersection of the allowable relative humidity ranges in the material construction instructions, component design documents, and on-site process documents. The allowable deviation range for actual material usage is the material usage set in the construction control plan. When the set material usage is less than 0.05kg, the allowable deviation range for the actual material usage is 0kg to 0.05kg. The allowable deviation range for the actual connection part processing parameters is taken from the set dimensions corresponding to the construction control plan. When the allowable deviation ranges formed by different documents do not overlap, the corresponding thermal control unit will be directly marked as having abnormal construction conditions and the associated non-constructed thermal control units will be suspended. The deviations during construction and the parameter updates for thermal control units not yet constructed are determined according to the following formula: , , ; in, Indicates the serial number of the thermal control unit that has been constructed. Indicates the serial number of the thermal control unit that has not yet been constructed. This indicates the sequence number of the dimensional parameter in the node structure parameters or connection part processing parameters. Indicates the first The on-site ambient temperature deviation of each constructed thermal control unit Indicates the first The actual on-site ambient temperature during the construction period of the already constructed thermal control unit. Indicating the first step in the construction control plan The set ambient temperature corresponding to each constructed thermal control unit. Indicates the first The relative humidity deviation of the on-site environment of each constructed thermal control unit. Indicates the first The actual relative humidity of the site environment during the construction period of the thermal control unit that has been constructed. Indicating the first step in the construction control plan The set relative humidity of the site environment corresponding to each constructed thermal control unit. Indicates the first The actual material usage of each constructed thermal control unit deviates from the recommended amount. Indicates the first The actual material usage of each constructed thermal control unit Indicating the first step in the construction control plan The set material usage for each constructed thermal control unit. This indicates that the larger value among the values ​​in parentheses is taken. 0.05 represents the lower limit for material usage measurement, and the unit is kg. Indicates the first The first of the already constructed thermal control units Construction deviations of various dimensional parameters Indicates the first The first of the already constructed thermal control units The actual value of each dimension parameter, Indicating the first step in the construction control plan The first of the already constructed thermal control units The setting value of each dimension parameter, Indicates the first Material condition correction amount after updating the thermal control unit that has not yet been constructed. Indicates the first Material condition correction amount before updating the thermal control unit that has not yet been constructed. and Respectively represent the first The average deviation of ambient temperature, the average deviation of ambient relative humidity, and the average deviation of actual material usage of existing thermal control units that have the same material batch number, the same construction procedure number, or are spatially adjacent to each other, and the first The average value of the deviation of each dimensional parameter is taken as the corresponding average value when there are no related constructed thermal control units. Indicating the first step in the construction control plan The set ambient temperature corresponding to the unconstructed thermal control unit. Indicating the first step in the construction control plan The relative humidity of the set site environment corresponding to the unconstructed thermal control unit, where 0.01 represents the lower limit of the relative humidity normalization calculation. This represents the absolute value operation. Indicates the temperature deviation update coefficient and takes Indicates the humidity deviation update factor and takes Indicates the material usage deviation update factor and takes Indicates will Limited to the range Inside and when Time to take ,when Time to take ,when Time to take 0.50 and 0.50 represent the lower and upper limits of the material condition correction amount in step S2, respectively. Indicates the first The first of the unconstructed thermal control units The updated values ​​of the node structure parameters. Indicates the first The first of the unconstructed thermal control units The values ​​of the node structure parameters before the update Indicates the first The transfer coefficient of each dimension parameter to the corresponding node structural parameter is set to 1 when the dimension parameter and the corresponding node structural parameter are the same geometric quantity, and to 0 when the dimension parameter and the corresponding node structural parameter have no geometric transfer relationship. After completing the above deviation calculation, each feedback value during construction is compared with its allowable deviation range. When the ambient temperature, ambient relative humidity, actual material usage, or any actual connection part processing parameter exceeds the corresponding allowable deviation range, the construction of the unconstructed thermal control unit associated with the feedback value is suspended. The association includes the same material batch number, the same construction procedure number, being located in the same joint continuous section, being located in the same connection node influence range, being located in the same embedded part influence range, or being located on both sides of the spatial boundary of the same material interface. After the pause, the material state correction amount or node structure parameter of the associated unconstructed thermal control unit is corrected using the above formula, and the corrected material state correction amount and node structure parameter are rewritten into the temporary state record of the corresponding unconstructed thermal control unit. For all unconstructed thermal control units, the predicted local heat transfer coefficient, predicted internal surface temperature, and thermal bridge risk value are recalculated using the finite volume thermal prediction model from step S2. The computational domain, mesh size, boundary conditions, surface heat transfer resistance, and solution residual values ​​of the finite volume thermal prediction model remain consistent with those in step S2, except that the material state correction is replaced with... And replace the node structure parameters with ; Based on the recalculated thermal bridge risk value, the unconstructed thermal control units are reclassified into the compliant, attention, control, and high-risk states. Within the candidate parameter constraint boundary described in step S3, the insulation layer configuration, node sealing material usage, and connection treatment parameters of the unconstructed thermal control units are redefined. When re-determining the construction sequence, the construction sequence and actual construction parameters of the constructed thermal control units remain unchanged. Only the unconstructed thermal control units are adjusted. The unconstructed thermal control units corresponding to the redefined high-risk, control, and attention states are placed before the unconstructed thermal control units corresponding to the compliant state. Within the same thermal bridge risk state, they are sorted from largest to smallest thermal bridge risk value. At the same time, the following process dependencies are satisfied: joint sealing precedes the construction of the continuous surface insulation layer; connection node treatment precedes the covering of exposed parts of the connectors; treatment around embedded parts precedes the closure of the surrounding insulation layer; and material interface overlap treatment precedes the sealing of adjacent material surfaces. The start time of each subsequent process must not be earlier than the sum of the completion time of the previous process and the curing time required for the corresponding material. When a construction control scheme that satisfies the allowable range of the target thermal performance index can be obtained within the candidate parameter constraint boundary based on the updated material state correction, node structure parameters and current construction feedback values, the construction control scheme is used as the updated construction control scheme and the non-constructed thermal control unit continues to be executed. When no construction control scheme satisfies the candidate parameter constraint boundary, the corresponding non-constructed thermal control unit remains suspended, and the most recent construction control scheme that satisfies the candidate parameter constraint boundary is retrieved from the construction execution record as the rollback candidate scheme. When re-verifying the rollback candidate scheme, the current construction feedback value, the updated material state correction amount, and the updated node structure parameters are input into the finite volume thermal prediction model in step S2, and the insulation layer configuration, node sealing material usage, connection part treatment parameters, and construction sequence in the rollback candidate scheme are verified according to the candidate parameter constraint boundary in step S3. Only when the rollback candidate scheme still satisfies the candidate parameter constraint boundary, the predicted local heat transfer coefficient and the predicted inner surface temperature are still within the allowable range of the target thermal index, and the current site ambient temperature, the current site ambient relative humidity, the current actual material usage, and the current actual connection part treatment parameters are all within the corresponding allowable deviation range, the rollback candidate scheme continues to be executed. If any of the above verification conditions are not met, keep the non-constructed thermal control unit suspended, and record the cause of the anomaly, the range of conflicting parameters, the current feedback value during construction, the recalculated thermal bridge risk status, the verification results of the candidate scheme rollback, and the confirmation information of the verification personnel. After each construction, pause, update, rollback, and resumption of construction, the following information is recorded in the construction execution record: the thermal control units that have been constructed, the thermal control units that have not been constructed, the actual construction parameters, the deviations during construction, the allowable deviation range, the material state correction amount before and after the update, the node structural parameters before and after the update, the re-determined thermal bridge risk status, the updated insulation layer configuration, the amount of node sealing material, the connection treatment parameters, the construction sequence, and the cause of any abnormalities. The status of all thermal control units that have been finally constructed is then provided to step S5 for retesting and calibration.

[0023] In this specific embodiment, S5 includes: After confirming in step S4 that all thermal control units have completed construction and reached the required curing time for the corresponding materials, a retest is performed on each completed thermal control unit. The retest points are the spatial locations that have been bound to the component thermal correlation data in step S1. And keep the coordinates, number, direction, sensor attachment method and duration of the measurement points consistent with those collected before construction; The surface temperature is measured on the indoor side surface of the thermal control unit using a patch temperature sensor. The internal temperature is measured using a pre-embedded temperature sensor or an internal temperature measuring hole that has been set before construction. The ambient temperature and humidity are measured using a temperature and humidity sensor in the same construction area as in step S1. The local heat transfer coefficient is calculated by collecting data from a heat flow meter and the indoor and outdoor temperatures simultaneously. Each measuring point is continuously sampled for 30 minutes with a sampling interval of 60 seconds. After removing the sampled values ​​that are interrupted by sensor communication or exceed the instrument's range, the arithmetic mean of the remaining sampled values ​​is taken as the retest result for that measuring point. When the number of valid samples for a certain measuring point is less than 20, the measuring point is marked as an invalid measuring point and a sensor at the same coordinate position is re-deployed to complete the retest. The environmental conditions for the retest were limited to indoor temperature fluctuations not exceeding 1K, outdoor temperature fluctuations not exceeding 2K, and indoor relative humidity fluctuations not exceeding [missing information]. Furthermore, the sensor model, calibration certificate number, and range accuracy during the retest should be recorded in the retest record. For the first For each thermal control unit, the average surface temperature of each effective measuring point within the same thermal control unit is recorded as the remeasured surface temperature, the average internal temperature is recorded as the remeasured internal temperature, the average ambient temperature and ambient relative humidity are recorded as the remeasured on-site temperature and humidity, and the average local heat transfer coefficient of each measuring point is recorded as the remeasured local heat transfer coefficient. The local heat transfer coefficient of the retest is obtained by dividing the heat flux density by the indoor and outdoor air temperature difference. The heat flux density is the average value of the heat flux meter during the retest duration, and the indoor and outdoor air temperature difference is the difference between the average indoor air temperature and the average outdoor air temperature during the retest duration. The remeasured surface temperature, remeasured internal temperature, remeasured ambient temperature and humidity, and remeasured local heat transfer coefficient are entered into the remeasurement result table according to the thermal control unit number, and compared item by item with the target thermal performance index corresponding to that thermal control unit. The target thermal performance index includes the steps. Determined target local heat transfer coefficient Target inner surface temperature And the allowable range of the target thermal performance indicators determined in step S3; The retest deviation, the material condition correction after calibration, the control parameters after calibration, and the parameter recovery judgment are determined according to the following formula: , , ; in, Indicates the serial number of the thermal control unit. Indicates the first Local heat transfer coefficient remeasurement deviation of each thermal control unit Indicates the first The local heat transfer coefficient of each thermal control unit was remeasured. Indicates the first The target local heat transfer coefficient of each thermal control unit Indicates the first Deviation in the internal surface temperature of each thermal control unit. Indicates the first Repeated measurement of the inner surface temperature of each thermal control unit Indicates the first The target internal surface temperature of each thermal control unit This indicates the calibration group number, which is determined by the same thermal control unit type, the same climate zone, the same component specifications, the same material batch number, and the same curing conditions. Indicates calibration group The calibration correction amount for the material condition. Indicates calibration group Correction amount for material condition before calibration. Indicates calibration group The average deviation of the local heat transfer coefficient of all effective thermal control units within the unit. Indicates calibration group The average deviation of the internal surface temperature of all effective thermal control units. Indicates the local heat transfer coefficient deviation calibration factor and takes Indicates the calibration coefficient for the internal surface temperature deviation and takes Indicates will Limited to the range Inside and when Time to take ,when Time to take ,when Time to take 0.50 and 0.50 represent the lower and upper limits of the material condition correction amount in step S2, respectively. Indicates the thermal bridge risk status number. Indicates calibration group The risk status number of the thermal bridge is The calibrated adjustment parameters, Indicates calibration group The risk status number of the thermal bridge is The pre-calibration adjustment parameters include the insulation layer thickness, the amount of node sealing material, the size of the insulation pad, the coverage area of ​​the connector, and the overlap size of the material interface. Indicates the thermal bridge risk status number The corresponding parameter calibration matrix, The matrix above shows the following information: the first row corresponds to the insulation layer thickness in mm; the second row corresponds to the amount of sealing material used in kg; the third row corresponds to the insulation pad size in mm; the fourth row corresponds to the coverage area of ​​the connectors in mm; and the fifth row corresponds to the overlap size at the material interface in mm. Indicates calibration group The parameter recovery determination result, To restore the control parameters before calibration, Represents logical OR, This represents the calibrated predicted local heat transfer coefficient calculated using the calibrated control parameters. This indicates the calibrated predicted inner surface temperature calculated using the calibrated control parameters. Indicates calibration group The corresponding allowable range of local heat transfer coefficient, Indicates calibration group The corresponding allowable range of internal surface temperature. Indicates calibration group The corresponding target local heat transfer coefficient, Indicates calibration group The corresponding target inner surface temperature, This represents the predicted local heat transfer coefficient before calibration, calculated using the pre-calibration control parameters. This represents the predicted inner surface temperature before calibration, calculated using the pre-calibration control parameters. This represents the absolute value operation; After obtaining the retest deviation, calibration targets were selected based on the same thermal control unit type, climate region, component specifications, material batch number, and curing conditions. The same curing conditions refer to a curing temperature difference not exceeding 2K and a curing relative humidity difference not exceeding [missing information]. The difference in curing time shall not exceed 12 hours, and the same component specifications mean that the component length, component width, component thickness and insulation layer design thickness are all within the same specification number specified in the component design documents; For the same calibration group, when the number of effective thermal control units is not less than 3, the calculation is performed. and It also performs material condition correction and control parameter calibration. When the number of effective thermal control units is less than 3, it only writes the retest deviation into the retest record without updating the control parameters. When using the remeasurement deviation to correct the material condition correction amount, cases where the local heat transfer coefficient remeasurement deviation is positive and the inner surface temperature remeasurement deviation is positive are both considered as actual thermal insulation performance being lower than the target requirement, and the material condition correction amount after calibration is increased. When correcting the correspondence between thermal bridge risk status and control parameters using retest deviations, the thermal bridge risk status number is used. A parameter mapping table is established for the index. The parameter mapping table records the increments of insulation layer thickness, node sealing material usage, insulation pad size, connector coverage area, and material interface overlap size for each thermal bridge risk state. The calibrated control parameters must not exceed the steps. When the calculated calibrated control parameter exceeds the candidate parameter constraint boundary, the parameter is truncated to the nearest allowable value within the candidate parameter constraint boundary and the reason for truncation is recorded. Each time a calibration is completed, the material condition correction amount before calibration, the control parameters before calibration, the retest deviation, the material condition correction amount after calibration, the control parameters after calibration, the applicable thermal control unit type, climate zone, component specifications, material batch number, curing conditions, number of valid samples, calibration time, and the construction batch number of the calibration are written into the parameter version record, and an incrementing parameter version number is generated for this parameter version record. Before applying the calibrated control parameters to a thermal control unit or subsequent component batch with the same thermal control unit type, climate region, component specifications, material batch number, and curing conditions, the finite volume thermal prediction model from step S2 is called to recalculate the calibrated predicted thermal indices and the original predicted thermal indices. The computational domain, mesh size, boundary conditions, surface heat transfer resistance, and solution residual values ​​of the finite volume thermal prediction model remain consistent with those in step S2. The input data uses the component thermal correlation data from step S1, and the post-calibration calculation uses... and The calculation before calibration was performed using and ; Based on the energy-saving design indicators corresponding to the climate region, the allowable range of the target thermal performance indicators is redefined, and it is determined whether the calibrated predicted local heat transfer coefficient and the calibrated predicted internal surface temperature are within the allowable range of the target thermal performance indicators. At the same time, it is compared whether the sum of the absolute values ​​of the deviations between the calibrated predicted thermal performance indicators and the target thermal performance indicators is greater than the sum of the absolute values ​​of the deviations between the pre-calibration predicted thermal performance indicators and the target thermal performance indicators. when When true, the parameter version record is called to restore the material state correction amount and the control parameters before calibration. The retest deviation that triggers the restoration is marked as an abnormal sample. The corresponding thermal control unit number, retest measurement point coordinates, retest instrument number, retest site temperature and humidity, retest local heat transfer coefficient, retest inner surface temperature, restoration reason and restoration time are written into the abnormal sample record. when If the result is false, the calibrated material condition correction, the correspondence between the calibrated thermal bridge risk status and the control parameters, and the corresponding parameter version number are written into the updated control parameter set. This updated control parameter set is then provided to thermal control units and subsequent component batches that have the same thermal control unit type, climate region, component specifications, material batch number, and maintenance conditions.

[0024] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

[0025] This invention uses thermal control units as the objects for parameter determination and state updating, so that material state, node structure, construction environment and thermal indicators are continuously correlated, and the control scheme is implemented in the configuration of insulation layer, node sealing, connection treatment and construction sequence, thereby forming a traceable correspondence between local thermal bridge risk and construction parameters.

[0026] This invention utilizes construction feedback and post-construction re-measurement deviations to update subsequent control parameters, and performs pause, candidate combination regeneration, rollback, and re-verification when feedback is abnormal, so that the control parameters are updated in a closed loop within the hard constraint range as the site conditions and component batches change.

Claims

1. A method for adaptively controlling the thermal insulation performance of prefabricated buildings, characterized in that, include: S1. Collect component material parameters, node structural parameters, climate zone, component specifications, material batch, curing conditions and on-site temperature and humidity data, and correlate them according to component identification, spatial location and construction sequence to obtain component thermal correlation data; S2. Based on the component thermal correlation data, the component is divided into five types of thermal control units: component area, joint area, connection node area, embedded part periphery and material interface. The insulation performance status, thermal bridge risk status and material status correction amount of each thermal control unit are determined to obtain the control unit status set. S3. Using the selectable range limited by climate region, component specifications, material batch and maintenance conditions as the candidate parameter constraint boundary, and based on the state set of the control unit, the insulation layer configuration, the amount of node sealing material, the treatment parameters of the connection parts and the construction sequence are determined together with the material state correction amount and the node structural parameters to obtain the construction control scheme. S4. Implement the construction control plan, update the control parameters and construction sequence of the thermal control units that have not yet been constructed based on the temperature and humidity of the construction site and the actual construction parameters, and complete the construction. S5. Re-measure the on-site temperature, humidity and thermal performance indicators of each thermal control unit after construction is completed, calculate the re-measurement deviation relative to the target thermal performance indicators, and calibrate the control parameters of similar thermal control units and subsequent component batches accordingly to form an updated control parameter set.

2. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 1, characterized in that, S1 includes: The thermal conductivity, moisture content, density, design thickness, and measured thickness of the cement-based insulation material are obtained as the component material parameters, and the joint width, connector size and arrangement, embedded part size and arrangement, and material interface position are obtained as the node structure parameters. The component production number, material batch number, and construction procedure number are bound to the collection time and spatial location, and the binding results are written into the component thermal correlation data.

3. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 1, characterized in that, S2 include: The thermal control unit is established according to the influence range of the component body, joints, connectors, embedded parts, and the spatial boundaries on both sides of the material interface. The material condition correction amount is determined based on the deviation of moisture content from the target moisture content of the corresponding material batch, the deviation of density from the target density of the corresponding material batch, the deviation of measured thickness from designed thickness, and the deviation of curing conditions from preset curing conditions. The thermal conductivity parameters of the material, corrected by the material state correction amount, are used as the thermal insulation performance state, and together with the node structure parameters, are used to determine the thermal bridge risk state.

4. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 1, characterized in that, S3 includes: The allowable range of target thermal performance indicators and the range of the first parameter are determined based on the energy-saving design indicators corresponding to the climate region. The range of the second parameter is determined based on the workable dimensions corresponding to the component specifications. The range of the third parameter is determined based on the performance test results of the material batches. The range of the fourth parameter is determined based on the material construction requirements corresponding to the curing conditions. The first parameter range, the second parameter range, the third parameter range, and the fourth parameter range are respectively applied to the corresponding parameters in the insulation layer configuration, the amount of node sealing material, the connection part treatment parameters, and the construction sequence to form the candidate parameter constraint boundary, and the parameter combination that satisfies the candidate parameter constraint boundary constitutes the candidate parameter feasible domain. The construction control scheme is determined based on the deviation of the predicted thermal performance index of each candidate combination within the feasible domain of the candidate parameters from the allowable range of the target thermal performance index and the amount of material used. When the feasible domain of the candidate parameters is empty, stop outputting the construction control scheme, record the parameter range that causes the conflict, and re-collect or verify the input data used to determine the parameter range before re-establishing the feasible domain of the candidate parameters.

5. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 1, characterized in that, S4 includes: The construction control scheme is divided into thermal control units that have been constructed and thermal control units that have not been constructed, according to the construction sequence. Obtain the on-site temperature and humidity, actual material usage, and actual connection treatment parameters of the constructed thermal control unit, and compare them with the corresponding set values ​​to obtain the deviation during construction; The material condition correction amount or node structure parameters are corrected according to the deviations in the construction. The thermal bridge risk status of the unconstructed thermal control unit is re-determined based on the corrected material condition correction amount and node structure parameters. Within the candidate parameter constraint boundary, the corrected material condition correction amount and node structure parameters are used together to re-determine the insulation layer configuration, node sealing material usage, and connection treatment parameters of the unconstructed thermal control unit. The construction sequence is adjusted according to the re-determined thermal bridge risk status and process dependency relationship. Write the constructed thermal control units, actual construction parameters, construction deviations, and update results into the construction execution record.

6. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 1, characterized in that, S5 includes: re-measuring the surface temperature, internal temperature, ambient temperature and humidity, and local heat transfer coefficient at the same measuring points and under the same measuring conditions as before construction; comparing the re-measuring results with the target thermal performance indicators corresponding to each measuring point item by item to obtain the re-measuring deviation recorded by the thermal control unit; The calibration targets are selected based on the same thermal control unit type, climate region, component specifications, material batch and maintenance conditions, and the material condition correction amount and the correspondence between the thermal bridge risk status and the control parameters are corrected by the retest deviation.

7. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 3, characterized in that, Step S2 also includes: Based on the difference between the target local heat transfer coefficient and the predicted local heat transfer coefficient after correction by the material state correction amount, and the difference between the predicted inner surface temperature and the target inner surface temperature, the thermal bridge risk value of each thermal control unit is determined. The larger the value of the thermal bridge risk value, the higher the thermal bridge risk. According to the interval boundary determined by the target local heat transfer coefficient and the target inner surface temperature, the thermal bridge risk value is assigned to the corresponding thermal bridge risk state. When summarizing at the component level and wall level, retain the thermal bridge risk value and spatial location of each thermal control unit, sort each thermal bridge risk value from largest to smallest, and output the thermal bridge risk value with the sort number one and the risk distribution result weighted by the area of ​​the thermal control unit.

8. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 4, characterized in that, Step S3 also includes: Obtain the joint width and joint depth and incorporate them as components of the node structure parameters; The type of insulation material and the thickness of the insulation layer are determined according to the insulation performance status and the material status correction amount. The amount of node sealing material is determined according to the material status correction amount and in combination with the joint width and joint depth. The size of the thermal insulation pad, the coverage range of the connector and the overlap size of the material interface are determined according to the node structural parameters and in combination with the thermal bridge risk status as the processing parameters of the connection part. The thermal control units that predict local heat transfer coefficients exceeding the target local heat transfer coefficients or predict internal surface temperatures failing to reach the target internal surface temperatures are ranked before other thermal control units. They are then sorted according to the time required for material curing and the dependencies between preceding and subsequent processes. The construction sequence is determined within the applicable time of the material and the temperature and humidity range of the applicable environment.

9. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 5, characterized in that, Step S4 also includes: Allowable deviation ranges, determined by material construction instructions, component design documents, and on-site process documents, are set for on-site temperature and humidity, actual material usage, and actual connection part treatment parameters, respectively. When any feedback value during construction exceeds the corresponding allowable deviation range, the construction of the unconstructed thermal control unit associated with that feedback value is suspended, and the construction control scheme is regenerated after correcting the material state correction amount or node structure parameters with the construction deviation. When there is no construction control scheme that satisfies the candidate parameter constraint boundary, the non-constructed thermal control unit remains suspended, the most recent construction control scheme that satisfies the candidate parameter constraint boundary is taken as the rollback candidate scheme, and the rollback candidate scheme is re-verified based on the corrected material state correction amount, node structural parameters and current construction feedback values. Construction will continue only if the candidate rollback scheme satisfies the candidate parameter constraint boundary and the current construction feedback value is within the corresponding allowable deviation range; otherwise, the process will remain paused and the cause of the anomaly and the verification result will be recorded.

10. The adaptive control method for thermal insulation performance of prefabricated buildings according to claim 6, characterized in that, Step S5 also includes: The control parameters before calibration, the retest deviation, the control parameters after calibration, the applicable thermal control unit type, climate zone, component specifications, material batch and curing conditions are all written into the parameter version record. Before applying the calibrated control parameters to a thermal control unit or subsequent component batch with the same thermal control unit type, climate region, component specifications, material batch, and maintenance conditions, calculate the calibrated predicted thermal index based on the component thermal correlation data, and calculate the predicted thermal index before calibration based on the control parameters before calibration. Determine the allowable range of target thermal performance indicators based on the energy-saving design indicators corresponding to the climate region; When the calibrated predicted thermal performance index exceeds the allowable range of the target thermal performance index, or when the absolute value of the deviation between the calibrated predicted thermal performance index and the target thermal performance index is greater than the absolute value of the deviation between the predicted thermal performance index and the target thermal performance index before calibration, the parameter version record is called to restore the control parameters before calibration, and the retest deviation that triggers the restoration is marked as an abnormal sample.

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