Construction method and construction management system for controlling thickness of cast-in-place concrete floor

Abstract

The invention relates to the technical field of concrete construction, and discloses a construction method and a construction management system for controlling the thickness of a cast-in-place concrete floor, and the method comprises the steps: carrying out the typesetting segmentation of the floor based on a BIM model, and determining the layout point location, spacing and encrypted region of prefabricated control blocks; manufacturing a prefabricated control block and mounting the prefabricated control block on the steel reinforcement framework; installing a template system and marking an elevation control line on a template or a peripheral fixture; a strain sensor and an environment monitor are installed on a formwork system before pouring and connected with a data acquisition module, and a system joint debugging test is carried out; monitoring the thickness of the floor slab during pouring operation, and dynamically adjusting the pouring operation sequence; after initial setting of the concrete, the deviation between the elevation control line and the actual elevation of the floor is measured again; after final setting of the concrete, moisturizing and curing for more than or equal to 7 days, and keeping the humidity more than or equal to 90%. The construction management system utilizes the construction method, so that a user can conveniently master the abnormity in the pouring process in real time, and the floor thickness is accurately controlled.

Description

Technical Field

[0001] This invention relates to the field of concrete construction technology, specifically to a construction method and construction management system for controlling the thickness of cast-in-place concrete floor slabs. Background Technology

[0002] In cast-in-place concrete structure construction, slab thickness control is a crucial factor directly affecting structural safety and building lifespan. However, current construction practices generally suffer from insufficient precision in thickness control. According to the "2024 White Paper on Cast-in-Place Concrete Construction Quality" released by the China Construction Industry Association, the thickness deviation of cast-in-place slabs constructed using traditional methods typically reaches ±5.3mm. This significant dimensional deviation can easily lead to uneven distribution of floor loads, potentially causing structural stress concentration, which, in the long run, will weaken the overall durability and safety reserve of the structure.

[0003] Meanwhile, on-site thickness monitoring technology is significantly lagging behind. The currently widely relied-upon manual measurement methods not only have low sampling frequency and limited coverage, but also cannot provide real-time, continuous tracking and feedback of the concrete pouring process. This outdated data acquisition method makes it difficult for construction personnel to promptly detect and correct thickness deviations, resulting in significant delays and uncertainties in quality control. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a construction method and management system for controlling the thickness of cast-in-place concrete floor slabs. This system is user-friendly, provides real-time feedback on the pouring process, and enables precise control of the floor slab thickness.

[0005] According to one embodiment of the present invention, a construction method for controlling the thickness of cast-in-place concrete floor slabs is provided, comprising the following steps: S1. Based on the BIM model, the floor slabs are laid out and divided to determine the layout points, spacing, and densification areas of the prefabricated control blocks; S2. Fabricate precast control blocks and install them on the steel reinforcement frame; S3. Install the template system, use a laser level to check the top elevation of the template, control the error within ±3mm, and mark the elevation control line on the template or surrounding fixed objects. S4. Deploy and connect the intelligent monitoring system in parallel. Before pouring, install strain sensors and environmental monitoring instruments on the formwork system and connect them with the data acquisition module to conduct system connection and testing. Ensure that the monitoring data can be stably transmitted to the cloud analysis module, establish initial warning values, and pre-configure them in the mobile warning module. S5. During the pouring operation, an ultrasonic slab thickness gauge with an accuracy of ±1mm is used to dynamically monitor the slab thickness and dynamically adjust the pouring sequence. S6. After the concrete has initially set, re-measure the deviation between the elevation control line and the actual elevation of the floor slab. If the deviation exceeds ±3mm, make local corrections. S7. After the concrete has set, cover it with geotextile and use an automatic sprinkler system for moisturizing and curing for ≥7 days, maintaining a humidity of ≥90%.

[0006] As one implementation method, in step S1, after the prefabricated control blocks are placed in the BIM, the collision detection function of the BIM is used to check whether there are spatial conflicts between the prefabricated control blocks and the reinforcing bars, embedded pipelines, etc., and the position is automatically adjusted to ensure that the placement scheme of the prefabricated control blocks is feasible; then, the layout diagram, coordinate list and quantity statistics table of the prefabricated control blocks are directly generated from the BIM model, and each prefabricated control block is assigned a unique ID in the model and associated with the subsequent monitoring data.

[0007] As one implementation method, in step S2, the strength grade of the precast control block is the same as that of the cast-in-place concrete, and the specification is 100mm×100mm×H, where H is the thickness of the floor slab. The precast control block is fixed to the reinforcing steel frame by binding steel wire. The arrangement spacing of the precast control block is less than 1.5m×1.5m, and it is densified to 0.5m×0.5m in the middle of the column span and the wall end area.

[0008] As one implementation method, in step S4, establishing an initial warning value and pre-configuring it in the mobile warning module includes the following steps: S41. Based on the BIM design model, structural calculation sheets and construction specifications, set dynamic initial warning thresholds for different monitoring objects and areas. According to the special construction plan of the formwork support system, calculate the allowable deformation value of the support. Set 70% of the allowable deformation value as a yellow warning and 90% of the allowable deformation value as a red warning. S42. In the rule engine of the cloud analytics module, the alarm triggering and linkage logic is set as follows: Single-point exceedance alarm: An alarm will be triggered immediately if the data at any monitoring point exceeds the red warning value; Regional linkage alarm: When three or more monitoring points in a preset area trigger a yellow alert simultaneously, the system determines that there is a risk of overall deformation in the area and automatically upgrades the alert level to a red alert. Trend warning: Even if the data does not exceed the standard, if any monitoring point shows a continuously increasing deviation trend in three consecutive data collections, a trend warning will be triggered to indicate potential risks.

[0009] As one implementation, in step S5, the deformation of the support is monitored by strain sensors installed on the template support system. When the deformation exceeds the warning value, a stop command is triggered, and the subsequent pouring sequence is optimized.

[0010] As one implementation, the local correction in step S6 includes: S61. Intelligent generation of repair instructions: Based on the collected deviation data, the cloud analysis module automatically generates diagnostic reports and customized repair instructions, and pushes them to the mobile device; S62. Execution and Verification: Construction personnel perform repairs according to instructions pushed by the mobile terminal, and after the repairs are completed, a 3D scanner is used for secondary scanning verification. S63. Model Update: Feedback the corrected actual data to the BIM model to form a closed-loop update of digital assets.

[0011] As one implementation method, in step S7, when the ambient temperature is higher than 30°C, the spraying frequency is increased to twice per hour; when the ambient temperature is lower than 5°C, insulation cotton is used for covering and heating is applied.

[0012] According to one embodiment of the present invention, a construction management system for controlling the thickness of cast-in-place concrete floor slabs is provided, for executing the construction method for controlling the thickness of cast-in-place concrete floor slabs as described above, comprising: a data acquisition module, integrating a thickness detector, a strain sensor, and an environmental monitor, for real-time acquisition of construction data; a cloud analysis module, for storing and analyzing data, comparing it with a BIM model, and generating a thickness deviation heat map and correction instructions; and a mobile terminal early warning module, for pushing real-time alarm information to construction personnel through a smart terminal, including elevation deviation and vibration abnormalities.

[0013] As one implementation method, the cloud analysis module integrates a cloud server, a database, and cloud storage. The cloud server is used to run business logic processing programs: data analysis services and an early warning rule engine. The database is used to store structured data: measurement values, locations, times, component information, and early warning records. The cloud storage is used to store unstructured data: images and videos. When the construction management system is working, the data collected by the data acquisition module is uploaded to the cloud storage for temporary storage. The cloud server automatically aligns and compares the actual data of building components obtained through 3D scanning with the BIM design model to generate a thickness deviation heat map for visual positioning. Based on cluster analysis and structural verification, it intelligently generates correction instructions for grouting, grinding, and reinforcement, and pushes them to the mobile terminal for execution. After secondary scanning verification, the model is updated in a closed loop, and the correction is finally completed.

[0014] As one implementation method, the mobile early warning module is integrated with a smartphone or tablet and a pre-set APP software to push real-time alarm information to construction personnel through the smart terminal, including elevation deviation and vibration abnormality.

[0015] Based on the above description and practice, it can be seen that the construction method and construction management system for controlling the thickness of cast-in-place concrete floor slabs of the present invention have the following beneficial effects: High precision: Through physical control of “BIM pre-planning + prefabricated control blocks” and real-time verification by intelligent instruments, the deviation of floor slab thickness is significantly reduced from the traditional ±5.3mm, effectively ensuring uniform load distribution and structural safety.

[0016] High real-time performance: The intelligent monitoring system realizes continuous data collection and feedback throughout the entire pouring process, and can detect deviations and trigger early warnings in real time, turning passive processing into active control.

[0017] Closed-loop management: It creates a data closed loop of "monitoring-analysis-instruction-repair-verification-update", which makes the quality control process traceable and optimizable, forms a complete digital asset, and improves the level of precision in project management. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating a construction method for controlling the thickness of cast-in-place concrete floor slabs according to one embodiment of the present invention.

[0019] Figure 2 This is a flowchart illustrating the process of establishing an initial warning value and pre-configuring it in a mobile warning module within a construction method for controlling the thickness of cast-in-place concrete floor slabs, as described in one embodiment of the present invention.

[0020] Figure 3 This is a flowchart illustrating a partial correction in a construction method for controlling the thickness of cast-in-place concrete slabs, as described in one embodiment of the present invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more comprehensive and complete, and will fully convey the concept of exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0022] Furthermore, the accompanying drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. It should be noted that in this disclosure, the terms "comprising," "configured with," and "set in" are used to indicate an open-ended inclusion, meaning that additional elements / components / etc. may exist besides those listed; the terms "first," "second," etc., are used only as labels and are not intended to limit the number or order of objects; the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention.

[0023] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0024] like Figures 1 to 3 As shown in this embodiment, a construction method for controlling the thickness of cast-in-place concrete floor slabs is disclosed, including the following steps: Step S1: Based on the BIM model, the floor slab is divided into layouts to determine the placement points, spacing, and densification areas of the prefabricated control blocks.

[0025] In step S1, after prefabricated control blocks are placed in the BIM, the collision detection function of the BIM is used to check whether there are spatial conflicts between the prefabricated control blocks and steel bars, embedded pipelines, etc., and their positions are automatically adjusted to ensure that the layout plan of the prefabricated control blocks is feasible. Then, the layout diagram, coordinate list and engineering quantity statistics table of the prefabricated control blocks are directly generated from the BIM model to accurately guide the on-site construction and material preparation. Each prefabricated control block is assigned a unique ID in the model and associated with subsequent monitoring data to achieve accurate location of quality problems and full-process traceability.

[0026] In this step, an algorithm is used to optimize the layout in a virtual environment based on a precise design model (such as the location of beams, slabs, columns, and walls) and specification requirements. The location of each control point is based on data, ensuring that the entire project adopts a unified and optimal standard and completely eliminating human arbitrariness.

[0027] Step S2: Fabricate prefabricated control blocks and install them on the steel reinforcement frame.

[0028] In step S2, the precast control blocks have the same strength grade as the cast-in-place concrete, and their dimensions are 100mm × 100mm × H, where H is the floor slab thickness. Different precast control blocks are stacked according to their thickness. The precast control blocks are fixed to the reinforcing steel frame using binding wires. The spacing between the precast control blocks is less than 1.5m × 1.5m, and is increased to 0.5m × 0.5m in key areas such as the middle of column spans and wall ends. Before use, the precast blocks must undergo a compressive strength test to verify their synchronization with the cast-in-place concrete.

[0029] Because concrete shrinks and creeps, if the strength of the precast control blocks differs from that of the main structure, their shrinkage rates will be inconsistent, creating stress at the interface and easily leading to cracking. In this step, the method described above can prevent shrinkage cracks, ensuring structural uniformity. Through compressive strength testing, not only is it confirmed that the final strength meets the standards, but also that its early strength development pattern is essentially consistent with the concrete used in the project. This ensures that the two are a unified whole, fundamentally avoiding cracks caused by material incompatibility.

[0030] The 100mm×100mm×H design provides a precise physical elevation benchmark. The core function of the precast control block is as an incompressible, rigid thickness gauge. The 100mm×100mm base dimension provides sufficient stability, preventing tipping. Simultaneously, the area is not excessively large, avoiding undue obstruction of concrete flow and vibration, ensuring structural compactness. The height H of the precast control block is the precise design thickness of the floor slab; workers only need to pour concrete until it is flush with the top surface of the control block to perfectly guarantee the structural thickness.

[0031] Step S3: Install the template system, use a laser level to check the top elevation of the template, control the error within ±3mm, and mark the elevation control line on the template or surrounding fixed objects.

[0032] Step S4: Deploy and connect the intelligent monitoring system in parallel. Before pouring, install strain sensors and environmental monitoring instruments on the formwork system according to the preset plan; connect all monitoring equipment such as strain sensors and environmental monitoring instruments to the data acquisition module, and conduct system connection and testing to ensure that the monitoring data can be stably transmitted to the cloud analysis module; establish initial warning values ​​and pre-configure them in the mobile warning module.

[0033] The process of establishing initial warning values ​​and pre-configuring them in the mobile warning module includes the following steps: S41. Based on the BIM design model, structural calculation sheets and construction specifications, set dynamic initial warning thresholds for different monitoring objects and areas. According to the special construction plan of the formwork support system, calculate the allowable deformation value of the support. Set 70% of the allowable deformation value as a yellow warning and 90% of the allowable deformation value as a red warning. S42. In the rule engine of the cloud analytics module, the alarm triggering and linkage logic is set as follows: Single-point exceedance alarm: An alarm will be triggered immediately if the data at any monitoring point exceeds the red warning value; Regional linkage alarm: When three or more monitoring points in a preset area trigger a yellow alert simultaneously, the system determines that there is a risk of overall deformation in the area and automatically upgrades the alert level to a red alert. Trend warning: Even if the data does not exceed the standard, if any monitoring point shows a continuously increasing deviation trend in three consecutive data collections, a trend warning will be triggered to indicate potential risks.

[0034] Step S5: During the pouring operation, an ultrasonic slab thickness gauge with an accuracy of ±1mm is used to dynamically monitor the slab thickness and dynamically adjust the pouring sequence. Specifically, strain sensors installed on the formwork support system monitor the deformation of the supports. When the deformation exceeds the warning value, a stop command is triggered, and the subsequent pouring sequence is optimized.

[0035] Step S6: After the concrete has initially set, re-measure the deviation between the elevation control line and the actual elevation of the floor slab. If the deviation exceeds ±3mm, make local corrections.

[0036] Local corrections include: S61. Intelligent generation of repair instructions: Based on the collected deviation data, the cloud analysis module automatically generates diagnostic reports and customized repair instructions, and pushes them to the mobile device; S62. Execution and Verification: Construction personnel perform repairs according to instructions pushed by the mobile terminal, and after the repairs are completed, a 3D scanner is used for secondary scanning verification. S63. Model Update: Feedback the corrected actual data to the BIM model to form a closed-loop update of digital assets.

[0037] Step S7: After the concrete has set, cover it with geotextile and use an automatic sprinkler system to keep it moist for ≥7 days, maintaining a humidity of ≥90%.

[0038] When the ambient temperature is above 30℃, increase the spraying frequency to twice per hour. When the ambient temperature is below 5℃, cover with insulation cotton and use heating for curing.

[0039] In this embodiment, a construction management system for controlling the thickness of cast-in-place concrete slabs is also disclosed, used to execute the above-described construction method for controlling the thickness of cast-in-place concrete slabs. The management system includes: a data acquisition module, a cloud analysis module, and a mobile early warning module.

[0040] The data acquisition module integrates a thickness gauge, strain sensor, and environmental monitor for real-time construction data collection. The cloud-based analysis module stores and analyzes the data, compares it with the BIM model, and generates a thickness deviation heatmap and correction instructions. The mobile early warning module pushes real-time alarm information to construction personnel via smart terminals, including elevation deviations and abnormal vibration.

[0041] Specifically, the cloud analytics module integrates cloud servers, databases, and cloud storage. The cloud servers are virtual server instance clusters rented or deployed on public cloud platforms such as Alibaba Cloud ECS and Tencent Cloud CVM, used to run business logic processing programs: data analysis services, early warning rule engines, etc.

[0042] The database uses cloud database services such as Alibaba Cloud RDS, PolarDB, Tencent Cloud CDB, TDSQL, AWS RDS / Aurora, and Azure SQL Database to store structured data such as measurement values, location, time, component information, and early warning records.

[0043] Cloud storage uses cloud object storage services such as Alibaba Cloud OSS, Tencent Cloud COS, AWS S3, and Azure BlobStorage to store unstructured data such as images and videos.

[0044] When the construction management system is working, the data collected by the data acquisition module is uploaded to the cloud storage for temporary storage. The cloud server automatically aligns and compares the actual data of the building components obtained through 3D scanning with the BIM design model to generate a thickness deviation heat map for visual positioning. Based on cluster analysis and structural verification, it intelligently generates correction instructions for grouting, grinding, and reinforcement, and pushes them to the mobile terminal for execution. After a second scan verification, the model is updated in a closed loop, and the correction is finally completed.

[0045] The mobile early warning module integrates a smartphone or tablet with a pre-set APP to push real-time alarm information to construction workers via smart terminals, including elevation deviations and vibration anomalies. During concrete pouring, when the smart vibrator or sensors attached to the vibrating equipment detect vibration operation states or effects that do not meet the preset specifications, it will also send this information to the construction workers via the smart terminal. This can prevent these abnormal states from affecting the compactness and final quality of the concrete, and can prevent defects such as honeycomb, pitting, voids, and segregation in the floor slab.

[0046] When this construction management system is in operation, it assesses and warns of overall abnormal conditions during pouring based on elevation deviation and vibration anomalies. The overall abnormal condition assessment and early warning includes the following steps: Sa. Calculate the elevation deviation anomaly of the floor slab based on the detected elevation data. The formula for calculating the elevation deviation anomaly is: ,in For the first The actual elevation of each measurement point For the first The design elevation of each measurement point This represents the total number of measurement points. Sb. Calculate the vibration anomaly rate of the floor slab based on the detected vibration data. The formula for calculating the vibration anomaly rate is: ×100%, of which The number of points where the vibration parameters exceed the specifications. This represents the total number of vibration points; Sc. Based on the calculation results of elevation deviation anomaly and vibration anomaly rate, the abnormal state is evaluated and calculated. The abnormal state evaluation formula is as follows: ,in The weighting coefficient is 0. <K<0, The numerical result of the abnormal state assessment.

[0047] Sd. When the abnormal status assessment result exceeds the set value, an alarm message is pushed to the construction personnel via the smart terminal. This allows the construction personnel to promptly grasp any abnormalities that occur during the pouring process.

[0048] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A construction method for controlling the thickness of cast-in-place concrete floor slabs, characterized in that, Includes the following steps: S1. Based on the BIM model, the floor slabs are laid out and divided to determine the layout points, spacing, and densification areas of the prefabricated control blocks; S2. Fabricate precast control blocks and install them on the steel reinforcement frame; S3. Install the template system, use a laser level to check the top elevation of the template, control the error within ±3mm, and mark the elevation control line on the template or surrounding fixed objects. S4. Deploy and connect the intelligent monitoring system. Before pouring, install strain sensors and environmental monitoring instruments on the formwork system and connect them with the data acquisition module to conduct system connection and testing. Ensure that the monitoring data can be stably transmitted to the cloud analysis module, establish initial warning values, and pre-configure them in the mobile warning module. S5. During the pouring operation, an ultrasonic slab thickness gauge with an accuracy of ±1mm is used to dynamically monitor the slab thickness and dynamically adjust the pouring sequence. S6. After the concrete has initially set, re-measure the deviation between the elevation control line and the actual elevation of the floor slab. If the deviation exceeds ±3mm, make local corrections. S7. After the concrete has set, cover it with geotextile and use an automatic sprinkler system for moisturizing and curing for ≥7 days, maintaining a humidity of ≥90%.

2. The construction method for controlling the thickness of cast-in-place concrete floor slabs as described in claim 1, characterized in that, In step S1, after the prefabricated control blocks are placed in the BIM, the collision detection function of the BIM is used to check whether there are spatial conflicts between the prefabricated control blocks and the reinforcing bars, embedded pipelines, etc., and the position is automatically adjusted to ensure that the placement scheme of the prefabricated control blocks is feasible. Then, the layout diagram, coordinate list, and quantity statistics table of prefabricated control blocks are directly generated from the BIM model. Each prefabricated control block is assigned a unique ID in the model and associated with subsequent monitoring data.

3. The construction method for controlling the thickness of cast-in-place concrete floor slabs as described in claim 1, characterized in that, In step S2, the strength grade of the precast control block is the same as that of the cast-in-place concrete, and the size is 100mm×100mm×H, where H is the thickness of the floor slab. The precast control block is fixed to the reinforcing steel frame by binding steel wire. The arrangement spacing of the precast control block is less than 1.5m×1.5m, and it is densified to 0.5m×0.5m in the middle of the column span and the wall end area.

4. The construction method for controlling the thickness of cast-in-place concrete floor slabs as described in claim 1, characterized in that, In step S4, establishing the initial warning value and pre-configuring it in the mobile warning module includes the following steps: S41. Based on the BIM design model, structural calculation sheets and construction specifications, set dynamic initial warning thresholds for different monitoring objects and areas. According to the special construction plan of the formwork support system, calculate the allowable deformation value of the support. Set 70% of the allowable deformation value as a yellow warning and 90% of the allowable deformation value as a red warning. S42. In the rule engine of the cloud analytics module, the alarm triggering and linkage logic is set as follows: Single-point exceedance alarm: An alarm will be triggered immediately if the data at any monitoring point exceeds the red warning value; Regional linkage alarm: When three or more monitoring points in a preset area trigger a yellow alert simultaneously, the system determines that there is a risk of overall deformation in the area and automatically upgrades the alert level to a red alert. Trend warning: Even if the data does not exceed the standard, if any monitoring point shows a continuously increasing deviation trend in three consecutive data collections, a trend warning will be triggered to indicate potential risks.

5. The construction method for controlling the thickness of cast-in-place concrete floor slabs as described in claim 1, characterized in that, In step S5, the deformation of the support is monitored by strain sensors installed on the template support system. When the deformation exceeds the warning value, a stop command is triggered, and the subsequent pouring sequence is optimized.

6. The construction method for controlling the thickness of cast-in-place concrete floor slabs as described in claim 1, characterized in that, The local correction in step S6 includes: S61. Intelligent generation of repair instructions: Based on the collected deviation data, the cloud analysis module automatically generates diagnostic reports and customized repair instructions, and pushes them to the mobile device; S62. Execution and Verification: Construction personnel perform repairs according to instructions pushed by the mobile terminal, and after the repairs are completed, a 3D scanner is used for secondary scanning verification. S63. Model Update: Feedback the corrected actual data to the BIM model to form a closed-loop update of digital assets.

7. The construction method for controlling the thickness of cast-in-place concrete floor slabs as described in claim 1, characterized in that, In step S7, when the ambient temperature is above 30°C, the spraying frequency is increased to twice per hour; when the ambient temperature is below 5°C, insulation cotton is used for covering and heating is applied for curing.

8. A construction management system for controlling the thickness of cast-in-place concrete floor slabs, used to execute the construction method for controlling the thickness of cast-in-place concrete floor slabs as described in any one of claims 1 to 7, characterized in that, include: The data acquisition module integrates a thickness gauge, strain sensor, and environmental monitor to collect construction data in real time. The cloud-based analytics module is used to store and analyze data, compare it with the BIM model, and generate thickness deviation heatmaps and correction instructions. The mobile early warning module is used to push real-time alarm information to construction workers through smart terminals, including elevation deviation and vibration abnormalities.

9. The construction management system for controlling the thickness of cast-in-place concrete floor slabs as described in claim 8, characterized in that, The cloud-based analytics module integrates a cloud server, a database, and cloud storage. The cloud server is used to run business logic processing programs: data analysis services and an early warning rule engine. The database is used to store structured data: measurement values, location, time, component information, and early warning records. The cloud storage is used to store unstructured data: images and videos. When the construction management system is working, the data collected by the data acquisition module is uploaded to the cloud storage for temporary storage. The cloud server automatically aligns and compares the actual data of the building components obtained through 3D scanning with the BIM design model to generate a thickness deviation heat map for visual positioning. Based on cluster analysis and structural verification, it intelligently generates correction instructions for grouting, grinding, and reinforcement, and pushes them to the mobile terminal for execution. After secondary scanning verification, the model is updated in a closed loop, and the correction is finally completed.

10. The construction management system for controlling the thickness of cast-in-place concrete floor slabs as described in claim 9, characterized in that, The mobile early warning module integrates a smartphone or tablet with a pre-set APP software to push real-time alarm information to construction personnel through the smart terminal, including elevation deviation and vibration abnormality.

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