BIM-based prefabricated machine room intelligent construction system

Abstract

The present application relates to the technical field of intelligent construction, and especially relates to an assembly type machine room intelligent construction system based on BIM. The present application inputs the design parameters of prefabricated components into the BIM model through the driving unit, generates the digital twin data package of the prefabricated components, and drives the processing code by using the digital twin data package, so that the constructed components are more accurate. The monitoring unit detects whether the deformation of the prefabricated components occurs in the transportation process, and calculates the actual deformation amount based on the strain sensor data of the deformed prefabricated components and the point cloud data in the digital twin data package, so that the deformation amount of the prefabricated components can be more accurately determined, and the correction unit can more accurately adjust the parameters in the digital twin data package. The detection cycle of the strain sensor is adjusted according to the current construction state, and the response time length between the monitoring unit and the correction unit is adjusted based on the adjusted construction state. The present application improves the construction and installation efficiency.

Description

Technical Field

[0001] This invention relates to the field of intelligent construction technology, and in particular to a BIM-based intelligent construction system for prefabricated computer rooms. Background Technology

[0002] The background technology of prefabricated computer room intelligent construction systems stems from the deep integration of building industrialization and digitalization. Its development is driven by a combination of factors: policy support, technological innovation, and addressing industry pain points. Technically, BIM 3D modeling and digital twins enable design optimization, while the Internet of Things (RFID, sensors) and cloud platforms collaboratively manage the entire process of component production, transportation, and construction. Construction robots replace high-risk operations, significantly improving accuracy and safety. Traditional construction suffers from problems such as intersecting pipelines, mismatched prefabricated components, and high rework rates. Current technology still faces challenges related to the incompatibility of customized components, necessitating further standardization of AI decision-making and robot swarm operations.

[0003] Chinese Patent Publication No. CN118292648A discloses a BIM-based prefabricated construction method for refrigeration plant rooms. This method utilizes BIM technology to refine preliminary drawings, rationally adjust equipment layout, and establish equipment models by collecting detailed equipment dimensions from manufacturers. Meeting regulatory requirements while considering aesthetics, ease of construction, and functional requirements, the method modularizes equipment and piping. Each module is composed of pipes, pumps, and valves, achieving efficient prefabrication and prefabrication of the refrigeration plant room. Furthermore, based on the characteristics of the pipes, pumps, and valves, and combined with the characteristics of the construction site, the construction of the refrigeration plant room is divided into multiple modular units.

[0004] It is evident that the existing technology has the following problems: due to the low processing precision of the components and deformation during transportation, the misalignment rate between the prefabricated components and the on-site installation is high, resulting in low construction and installation efficiency. Summary of the Invention

[0005] To address this issue, the present invention provides a BIM-based intelligent construction system for prefabricated computer rooms, which overcomes the problem in the prior art where the low processing precision of components and deformation during transportation lead to a high misalignment rate between prefabricated components and on-site installation, resulting in low construction and installation efficiency.

[0006] To achieve the above objectives, this invention provides a BIM-based intelligent construction system for prefabricated computer rooms, comprising:

[0007] The driving unit is used to input the design parameters of the prefabricated components into the BIM model and generate a digital twin data package of the prefabricated components, wherein the BIM model includes tolerance thresholds.

[0008] A processing unit, which is connected to the driving unit, is used to drive processing code based on the digital twin data package of the prefabricated component using the BIM model, so as to complete the processing of the prefabricated component;

[0009] A monitoring unit, connected to the processing unit, is used to periodically detect whether the precast component deforms during transportation based on strain sensors installed inside the precast component after processing.

[0010] A calculation unit, connected to the monitoring unit, is used to calculate the actual deformation based on strain sensor data of the deformed precast component and point cloud data in the digital twin data package, and generate a three-dimensional deviation vector.

[0011] A correction unit, connected to the calculation unit, is used to adjust the component coordinates in the digital twin data package based on the three-dimensional deviation vector, and to synchronously update the geometric relationships of associated nodes in the digital twin data package;

[0012] An analysis unit, connected to a correction unit, is used to assemble the point cloud data in the corrected digital twin data package, calculate the mismatch ratio of prefabricated components, determine the construction status based on the mismatch ratio, adjust the detection cycle of strain sensors based on the mismatch status, and adjust the response time between the monitoring unit and the correction unit based on the construction status after adjusting the detection cycle. The mismatch ratio is the ratio of the number of components that cannot be installed in the computer room to the total number of components.

[0013] Furthermore, the analysis unit is also used to obtain the misfit ratio of precast components at multiple historical moments when the construction status is determined to be unqualified; the analysis unit is also used to calculate the integral of the plotted time-misfit ratio curve; the analysis unit is also used to adjust the detection cycle of the strain sensor based on the ratio of the integral to the preset integral when the integral is greater than the preset integral; wherein, when the misfit ratio of the precast components is greater than the preset ratio, the construction status is determined to be unqualified.

[0014] Furthermore, the analysis unit is also used to reduce the detection cycle of the strain sensor based on the ratio of the integral to the preset integral, and the reduction in the detection cycle of the strain sensor is proportional to the ratio.

[0015] Furthermore, the analysis unit is also used to calculate the average value of the actual deformation of multiple prefabricated components; the analysis unit is also used to reduce the detection cycle of the strain sensor based on the ratio of the average value to the preset average value, and the reduction in the detection cycle of the strain sensor is proportional to the ratio.

[0016] Furthermore, the analysis unit is also used to repeatedly adjust the detection cycle of the strain sensor at least once when the adjusted construction state is unqualified, until the number of adjustments is less than the preset number and the construction state is qualified, or the number of adjustments is equal to the preset number and the adjustment stops; the analysis unit is also used to adjust the response time between the monitoring unit and the correction unit based on the difference between the adjusted mismatch ratio and the preset ratio when the construction state is unqualified after the adjustment stops.

[0017] Furthermore, the analysis unit is also used to reduce the response time between the monitoring unit and the correction unit based on the difference between the adjusted mismatch ratio and the preset ratio, and the reduction in response time is proportional to the difference.

[0018] Furthermore, the driving unit also includes a tolerance threshold adaptive adjustment module for adjusting the tolerance threshold based on the ambient temperature; the analysis unit is also used to obtain the ambient temperature during transportation if the construction status is unqualified after adjusting the response time; the analysis unit is also used to activate the tolerance threshold adaptive adjustment module in the driving unit when the ambient temperature is greater than the preset temperature, for adjusting the tolerance threshold based on the difference between the ambient temperature and the preset temperature.

[0019] Furthermore, the analysis unit is also used to increase the tolerance threshold based on the difference between the ambient temperature and the preset temperature, and the increase in the tolerance threshold is proportional to the difference.

[0020] Furthermore, the monitoring unit is also used to collect ambient humidity during the processing at a preset cycle using a humidity sensor when the construction state is unqualified after adjusting the tolerance threshold based on ambient temperature; the analysis unit is also used to determine whether the actual deformation amount-ambient humidity curve has regularity based on an adaptive function; the analysis unit is also used to adjust the tolerance threshold based on the ratio of ambient humidity to preset humidity when the actual deformation amount-ambient humidity curve has regularity.

[0021] Furthermore, the analysis unit is also used to increase the tolerance threshold based on the ratio of ambient humidity to the preset humidity, and the increase in the tolerance threshold is proportional to the ratio.

[0022] Furthermore, by determining whether to adjust the detection cycle of the strain sensor based on the integral of the time-misfit curve when the construction condition is unqualified, the present invention can promptly determine whether the precast component has deformed during transportation, and make subsequent corrections more timely, thereby improving the construction accuracy of the component and further improving the construction and installation efficiency.

[0023] Furthermore, by adjusting the detection cycle of the strain sensor based on the ratio of the curve integral to the preset integral, the present invention can more accurately and timely determine whether the prefabricated component has deformed during transportation, thereby improving the construction accuracy of the component and further improving the construction and installation efficiency.

[0024] Furthermore, the present invention adjusts the detection cycle of the strain sensor based on the ratio of the average value of the actual deformation of multiple prefabricated components to the preset average value. This enables a more timely determination of whether the prefabricated components will deform during transportation based on a more effective detection cycle, thereby allowing for timely adjustment of the coordinates of deformed components and further improving construction and installation efficiency.

[0025] Furthermore, the present invention determines whether to adjust the response time between the monitoring unit and the correction unit based on the construction status after repeatedly adjusting the detection cycle of the strain sensor. This solves the problem of missing the best adjustment opportunity due to the response delay of the monitoring unit and the correction unit being greater than the preset time. As a result, the parameters in the digital twin data package can be adjusted more timely, thereby further improving the construction and installation efficiency.

[0026] Furthermore, the present invention adjusts the response time between the monitoring unit and the correction unit based on the difference between the adjusted mismatch ratio and the preset ratio, which can more accurately adjust the response time between the monitoring unit and the correction unit, thereby enabling the parameters in the digital twin data package to be adjusted more timely, and further improving the construction and installation efficiency.

[0027] Furthermore, this invention, by determining whether to adjust the tolerance threshold based on the ambient temperature when the construction status is unqualified after adjusting the response time, can solve the problem that when facing high ambient temperatures, components of a preset length will undergo linear deformation, leading to misalignment of connection nodes. This allows for more effective adjustment of the tolerance threshold in the BIM model, making the digital twin data package more accurate and further improving construction and installation efficiency.

[0028] Furthermore, the present invention adjusts the tolerance threshold based on the difference between the ambient temperature and the preset temperature, which can adjust the tolerance threshold more accurately, making the digital twin data package more accurate, thereby further improving the construction and installation efficiency.

[0029] Furthermore, this invention examines the regularity of the actual deformation-ambient humidity curve, and adjusts the tolerance threshold based on the ratio of ambient humidity to preset humidity when the curve exhibits regularity. This allows for more accurate adjustment of the tolerance threshold, resulting in more accurate digital twin data packages. Consequently, prefabricated components and prefabricated computer rooms become more compatible, thereby further improving construction and installation efficiency.

[0030] Compared with existing technologies, the advantages of this invention are as follows: This invention inputs the design parameters of prefabricated components into the BIM model through a driving unit, generating a digital twin data package for the prefabricated components. This digital twin data package then drives the processing code, resulting in more precise construction of the components. A monitoring unit detects whether the prefabricated components deform during transportation and calculates the actual deformation based on strain sensor data from deformed components and point cloud data in the digital twin data package. This allows for a more accurate determination of the deformation, enabling the correction unit to more accurately adjust the parameters in the digital twin data package. Furthermore, the detection cycle of the strain sensors is adjusted according to the current construction status, and the response time between the monitoring unit and the correction unit is adjusted based on the adjusted construction status. This invention improves construction and installation efficiency by timely adjusting the construction parameters of the prefabricated components. Attached Figure Description

[0031] Figure 1 This is a structural schematic diagram of a BIM-based intelligent construction system for prefabricated computer rooms according to an embodiment of the present invention;

[0032] Figure 2 This is a flowchart illustrating the steps of the BIM-based intelligent construction method for prefabricated computer rooms according to an embodiment of the present invention.

[0033] Figure 3 This is a flowchart illustrating the steps for determining the mismatch ratio of prefabricated components based on a comparison with a preset ratio in an embodiment of the present invention.

[0034] Figure 4 This is a flowchart illustrating the steps for determining the construction status based on adjusting the detection cycle of the strain sensor, as described in an embodiment of the present invention. Detailed Implementation

[0035] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0036] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0037] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0038] Please see Figure 1 As shown, it is a structural schematic diagram of the BIM-based intelligent construction system for prefabricated computer rooms according to an embodiment of the present invention.

[0039] The system includes: a drive unit, a processing unit, a monitoring unit, a calculation unit, a correction unit, and an analysis unit.

[0040] The driving unit is used to input the design parameters of the prefabricated component into the BIM model and generate a digital twin data package of the prefabricated component, wherein the BIM model includes tolerance thresholds.

[0041] The processing unit is connected to the driving unit and is used to drive the processing code based on the digital twin data package of the prefabricated component using the BIM model, so as to complete the processing of the prefabricated component.

[0042] The monitoring unit is connected to the processing unit and is used to periodically detect whether the precast component is deformed during transportation based on strain sensors installed inside the precast component after processing.

[0043] The calculation unit is connected to the monitoring unit and is used to calculate the actual deformation based on the strain sensor data of the deformed precast component and the point cloud data in the digital twin data package, and generate a three-dimensional deviation vector.

[0044] The correction unit is connected to the calculation unit and is used to adjust the component coordinates in the digital twin data package based on the three-dimensional deviation vector, and to synchronously update the geometric relationship of the associated nodes in the digital twin data package.

[0045] The analysis unit is connected to the correction unit. It is used to assemble the point cloud data in the corrected digital twin data package, calculate the mismatch ratio of the prefabricated components, determine the construction status based on the mismatch ratio, adjust the detection cycle of the strain sensor based on the mismatch status, and adjust the response time between the monitoring unit and the correction unit based on the construction status after adjusting the detection cycle. The mismatch ratio is the ratio of the number of components that cannot be installed in the computer room to the total number of components.

[0046] Specifically, the mechanical properties, geometric dimensions, and material parameters of prefabricated components are digitally defined using drawing software, and these parameters are imported into the BIM platform in a preset format. The model automatically verifies the strength of the components and the compliance of the connection nodes, and links to the manufacturer's production database to achieve bidirectional synchronization of design and production data. Then, based on the 3D scanned point cloud data provided by the equipment manufacturer, the installation interface coordinates and load characteristics of equipment such as heat exchangers and pump sets are automatically extracted to generate an adjustable parametric family library, and assembly processes are assigned. The component installation priority is determined through a node weight algorithm, and a Gantt chart containing time-space constraints is output. Differentiated tolerance bands, i.e., tolerance thresholds, are set for different component types using a tolerance threshold module. Finally, the BIM model, construction logs, and real-time IoT monitoring data are integrated to form a digital twin data package containing component IDs, installation accuracy, and environmental parameters. This process is existing technology and will not be elaborated further.

[0047] Please see Figure 2 The diagram shown is a flowchart illustrating the steps of the intelligent construction method for prefabricated computer rooms based on BIM, according to an embodiment of the present invention.

[0048] The steps and processes of the BIM-based intelligent construction method for prefabricated computer rooms include:

[0049] S1, the design parameters of the prefabricated components are input into the BIM model through the driving unit to generate a digital twin data package of the prefabricated components, wherein the BIM model includes tolerance thresholds;

[0050] S2, the processing unit connected to the driving unit drives the processing code based on the BIM model using the digital twin data package of the prefabricated component to complete the processing of the prefabricated component;

[0051] S3, the monitoring unit connected to the processing unit periodically detects whether the prefabricated component is deformed during transportation based on the strain sensor installed inside the prefabricated component after processing;

[0052] S4, the actual deformation is calculated by the computing unit connected to the monitoring unit based on the strain sensor data of the deformed precast component and the point cloud data in the digital twin data package, and a three-dimensional deviation vector is generated.

[0053] S5, the component coordinates in the digital twin data package are adjusted based on the three-dimensional deviation vector by the correction unit connected to the computing unit, and the geometric relationship of the associated nodes in the digital twin data package is updated synchronously.

[0054] S6, the analysis unit connected to the correction unit uses the point cloud data in the corrected digital twin data package to assemble, calculate the mismatch ratio of the prefabricated components, determine the construction state based on the mismatch ratio, adjust the detection cycle of the strain sensor based on the mismatch state, and adjust the response time between the monitoring unit and the correction unit based on the construction state after adjusting the detection cycle, wherein the mismatch ratio is the ratio of the number of components that cannot be installed in the machine room to the total number of components.

[0055] Please see Figure 3 The diagram shows a flowchart illustrating the steps of determining the mismatch ratio of prefabricated components based on a comparison with a preset ratio in an embodiment of the present invention. The analysis unit in this embodiment is further configured to obtain the mismatch ratio of the prefabricated components at multiple historical time points when the construction status is determined to be unqualified; the analysis unit is further configured to calculate the integral of the plotted time-mismatch ratio curve; and the analysis unit is further configured to adjust the detection cycle of the strain sensor based on the ratio of the integral to the preset integral when the integral is greater than the preset integral; wherein, when the mismatch ratio of the prefabricated components is greater than the preset ratio, the construction status is determined to be unqualified.

[0056] Specifically, taking precast components constructed from concrete as an example, the numerical settings of subsequent preset or critical parameters are made based on the material's yield strength limit and safety redundancy coefficient, as well as some historical data obtained by combining BIM simulation and IoT monitoring.

[0057] Specifically, if the preset ratio L0 = 0.05, the comparison process between the mismatch ratio L based on prefabricated components and the preset ratio L0 is as follows:

[0058] If the mismatch ratio L of the precast components is less than or equal to the preset ratio L0, it indicates that the construction status is qualified.

[0059] If the mismatch ratio L of the precast component is greater than the preset ratio L0, it indicates that the construction condition is unqualified. Then, the mismatch ratio of the precast component at multiple historical time points is obtained, and the time-mismatch ratio curve is plotted, and the integral of the curve is calculated.

[0060] Specifically, if the integral of the curve is greater than the preset integral, it indicates that the misfit ratio of the prefabricated components has always been large, that is, some components have deformed during transportation, but because the detection cycle of the strain sensor is long during transportation, it was not detected and therefore not corrected in time. In this case, the detection cycle of the strain sensor needs to be adjusted based on the ratio of the integral to the preset integral.

[0061] Specifically, if the preset ratio P0 of the integral to the preset integral is 1.2, then the comparison process based on the ratio P of the integral to the preset integral and the preset ratio P0 is as follows. In this process, using a step-wise multiplier adjustment is beneficial for improving system stability and energy efficiency:

[0062] If the ratio P between the integral and the preset integral is less than or equal to the preset ratio P0, the detection period of the strain sensor will be adjusted to 0.9 times the original detection period.

[0063] If the ratio P between the integral and the preset integral is greater than the preset ratio P0, the detection period of the strain sensor will be adjusted to 0.81 times the original detection period.

[0064] Specifically, after adjusting the detection period of the strain sensor based on curve integral, the average value of the actual deformation of multiple threshold components is calculated, and the detection period of the strain sensor is adjusted based on the ratio of the average value to the preset average value. This allows for a more accurate adjustment of the strain sensor's detection period. The preset ratio of the average value to the preset average value is Q0 = 1.36. The comparison process between the average value and the preset average value Q0 is as follows:

[0065] If the ratio Q of the average value to the preset average value is less than or equal to the preset ratio Q0, the detection period of the strain sensor will be adjusted to 0.87 times the detection period of the curve-based integral adjustment.

[0066] If the ratio Q of the average value to the preset average value is greater than the preset ratio Q0, the detection period of the strain sensor will be adjusted to 0.72 times the detection period of the curve-based integral adjustment.

[0067] Please see Figure 4 The diagram shows a flowchart illustrating the steps for determining the construction status based on adjusting the detection cycle of the strain sensor according to an embodiment of the present invention. The analysis unit in this embodiment is further configured to, if the adjusted construction status is unqualified, repeatedly adjust the detection cycle of the strain sensor at least once until the number of adjustments is less than a preset number and the construction status is qualified, or the number of adjustments equals the preset number, at which point the adjustment stops. The analysis unit is also configured to, if the construction status is unqualified after the adjustment is stopped, adjust the response time between the monitoring unit and the correction unit based on the difference between the adjusted mismatch ratio and the preset ratio.

[0068] Specifically, the construction status is re-tested after adjusting the strain sensor's detection cycle. If the construction status is still unqualified, the strain sensor's detection cycle is adjusted at least once more until the number of adjustments is less than the preset number and the construction status is qualified, or the number of adjustments equals the preset number. If the construction status is still unqualified after stopping the adjustment, it indicates that the response delay between the monitoring unit and the correction unit is greater than the preset time, missing the optimal adjustment opportunity. Then, the response time between the monitoring unit and the correction unit is adjusted based on the difference between the adjusted mismatch ratio and the preset ratio. The preset difference R0 between the adjusted mismatch ratio and the preset ratio is 0.02. The comparison process between the adjusted mismatch ratio and the preset ratio R and the preset difference R0 is as follows:

[0069] If the difference R between the adjusted misfit ratio and the preset ratio is less than or equal to the preset difference R0, then the response time between the monitoring unit and the correction unit will be adjusted to 0.84 times the original response time.

[0070] If the difference R between the adjusted mismatch ratio and the preset ratio is greater than the preset difference R0, then the response time between the monitoring unit and the correction unit will be adjusted to 0.69 times the original response time.

[0071] Specifically, the construction status is re-tested after adjusting the response time. If the construction status is unqualified, the ambient temperature during transportation is obtained. If the ambient temperature is higher than the preset temperature, it indicates that the thermal expansion coefficient of concrete is approximately 10 × 10⁻⁻⁻⁶. 6 / ℃. When faced with high ambient temperatures, components of the preset length will undergo linear deformation, leading to misalignment of connection nodes. Therefore, the tolerance threshold adaptive adjustment module in the drive unit needs to be activated. This module adjusts the tolerance threshold based on the difference between the ambient temperature and the preset temperature. The preset difference between the ambient temperature and the preset temperature is T0 = 1℃. The preset temperature is the threshold of the ambient temperature matching the prefabricated component in the digital twin data package. The comparison process between the difference T between the ambient temperature and the preset temperature and the preset difference T0 is as follows:

[0072] If the difference T between the ambient temperature and the preset temperature is less than or equal to the preset difference T0, the tolerance threshold will be adjusted to 1.46 times the original tolerance threshold.

[0073] If the difference T between the ambient temperature and the preset temperature is greater than the preset difference T0, the tolerance threshold will be adjusted to 2.37 times the original tolerance threshold.

[0074] Specifically, if the construction status is still unqualified after adjusting the tolerance threshold based on the ambient temperature, the ambient humidity during the processing is collected by a humidity sensor at a preset cycle, and the actual deformation amount-ambient humidity curve is plotted. The regularity of the deformation amount-ambient humidity curve is then analyzed by an adaptive function.

[0075] Specifically, the process of analyzing the regularity of the deformation-ambient humidity curve using adaptive functions includes: First, constructing a parameterized function based on historical data, fitting the curve using the least squares method, and adjusting the function parameters in real time through error feedback to adapt to environmental fluctuations; Second, calculating the autocorrelation coefficient (ACF) and partial autocorrelation coefficient (PACF) of the curve using the sliding window method. If the ACF shows a significant decrease and the PACF is truncated after the lag order, it indicates that the data has a periodic regularity; Finally, verifying the white noise characteristics of the residuals using the KS test or Ljung-Box test, if the p-value > 0.05, it is determined that the curve conforms to statistical regularity. This process is existing technology and will not be elaborated further.

[0076] Specifically, if the actual deformation-ambient humidity curve shows a regularity, it indicates that the concrete components will also experience slight deformation when the relative humidity is high during the rainy season. Therefore, during rainy season construction, the tolerance threshold should be adjusted based on the ratio of ambient humidity to the preset humidity, where the preset ratio of ambient humidity to the preset humidity is U0=1.5. The comparison process between the ratio U of ambient humidity to the preset humidity and the preset humidity and the preset ratio U0 is as follows:

[0077] If the ratio U of the ambient humidity to the preset humidity is less than or equal to the preset ratio U0, the tolerance threshold is adjusted to 1.02 times the tolerance threshold adjusted based on the ambient temperature.

[0078] If the ratio U of the ambient humidity to the preset humidity is greater than the preset ratio U0, the tolerance threshold will be adjusted to 1.1 times the tolerance threshold adjusted based on the ambient temperature.

[0079] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0080] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A BIM-based intelligent construction system for prefabricated computer rooms, characterized in that, include: The driving unit is used to input the design parameters of the prefabricated components into the BIM model and generate a digital twin data package of the prefabricated components, wherein the BIM model includes tolerance thresholds. A processing unit, which is connected to the driving unit, is used to drive processing code based on the BIM model using the digital twin data package of the prefabricated component to complete the processing of the prefabricated component; A monitoring unit, connected to the processing unit, is used to periodically detect whether the precast component deforms during transportation based on strain sensors installed inside the precast component after processing. A calculation unit, connected to the monitoring unit, is used to calculate the actual deformation based on strain sensor data of the deformed precast component and point cloud data in the digital twin data package, and generate a three-dimensional deviation vector. A correction unit, connected to the calculation unit, is used to adjust the component coordinates in the digital twin data package based on the three-dimensional deviation vector, and to synchronously update the geometric relationships of associated nodes in the digital twin data package; An analysis unit, connected to a correction unit, is used to assemble prefabricated components using point cloud data in the corrected digital twin data package, calculate the mismatch ratio of the prefabricated components, determine the construction status based on the mismatch ratio, adjust the detection cycle of the strain sensor based on the mismatch status, and adjust the response time between the monitoring unit and the correction unit based on the construction status after adjusting the detection cycle. The mismatch ratio is the ratio of the number of components that cannot be installed in the computer room to the total number of components.

2. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 1, characterized in that, The analysis unit is also used to obtain the mismatch ratio of precast components at multiple historical moments when it is determined that the construction status is unqualified. The analysis unit is also used to calculate the integral of the plotted time-misfit curve; The analysis unit is also used to adjust the detection cycle of the strain sensor based on the ratio of the integral to the preset integral when the integral is greater than the preset integral. If the mismatch ratio of prefabricated components is greater than the preset ratio, the construction status is deemed unqualified.

3. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 2, characterized in that, The analysis unit is also used to reduce the detection cycle of the strain sensor based on the ratio of the integral to the preset integral, and the reduction in the detection cycle of the strain sensor is proportional to the ratio.

4. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 3, characterized in that, The analysis unit is also used to calculate the average value of the actual deformation of multiple prefabricated components; The analysis unit is also used to reduce the detection cycle of the strain sensor based on the ratio of the average value to the preset average value, and the reduction in the detection cycle of the strain sensor is proportional to the ratio.

5. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 4, characterized in that, The analysis unit is also used to repeatedly adjust the detection cycle of the strain sensor at least once if the adjusted construction state is unqualified, until the number of adjustments is less than the preset number and the construction state is qualified, or the number of adjustments is equal to the preset number and the adjustment stops. The analysis unit is also used to adjust the response time between the monitoring unit and the correction unit based on the difference between the adjusted mismatch ratio and the preset ratio when the construction state is unqualified after the adjustment is stopped.

6. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 5, characterized in that, The analysis unit is also used to reduce the response time between the monitoring unit and the correction unit based on the difference between the adjusted mismatch ratio and the preset ratio, and the reduction in response time is proportional to the difference.

7. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 5, characterized in that, The driving unit also includes a tolerance threshold adaptive adjustment module for adjusting the tolerance threshold based on the ambient temperature; The analysis unit is also used to obtain the ambient temperature during transportation if the construction status is unqualified after adjusting the response time. The analysis unit is also used to activate the tolerance threshold adaptive adjustment module in the drive unit when the ambient temperature is greater than the preset temperature, so as to adjust the tolerance threshold based on the difference between the ambient temperature and the preset temperature.

8. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 7, characterized in that, The analysis unit is also used to increase the tolerance threshold based on the difference between the ambient temperature and the preset temperature, and the increase in the tolerance threshold is proportional to the difference.

9. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 8, characterized in that, The monitoring unit is also used to collect ambient humidity during the processing process at a preset cycle using a humidity sensor when the construction status is unqualified after adjusting the tolerance threshold based on ambient temperature. The analysis unit is also used to determine, based on an adaptive function, whether the actual deformation-ambient humidity curve is regular. The analysis unit is also used to adjust the tolerance threshold based on the ratio of ambient humidity to preset humidity, provided that the actual deformation amount-ambient humidity curve has regularity.

10. The BIM-based intelligent construction system for prefabricated computer rooms according to claim 9, characterized in that, The analysis unit is also used to increase the tolerance threshold based on the ratio of ambient humidity to the preset humidity, and the increase in the tolerance threshold is proportional to the ratio.

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