Construction method of thin-wall pool body structure concrete

Abstract

The invention belongs to the field of concrete construction, and particularly relates to a thin-wall pool body structure concrete construction method, which comprises the following steps: S1, design and component prefabrication: dividing a pool wall into a plurality of standard sections and non-standard sections; the standard section adopts a ribbed thin-wall plate prefabricated in a factory, and a sensor wire interface and a prestressed corrugated pipe duct for subsequent monitoring are pre-buried in the plate; the mix proportion of the prefabricated concrete is optimized, and high-quality admixture is doped to reduce shrinkage; s2, foundation construction and sensor network pre-deployment: a reinforced concrete bottom plate is cast in situ, and a first group of wireless temperature and humidity sensor arrays are pre-buried in the positions, corresponding to pool wall joints, of the edge of the bottom plate; according to the method, through an integrated construction method of factory prefabrication, field assembly, intelligent monitoring and self-adaptive regulation and control, quantitative control of construction quality, active prevention and control of cracks and visual tracing of the construction process are achieved, meanwhile, high efficiency and economical efficiency of prefabrication construction are reserved, and long-term monitoring guarantee is provided for structural safety in the operation period.

Description

Technical Field

[0001] This invention relates to the field of concrete construction technology, and in particular to a method for constructing thin-walled pool structures using concrete. Background Technology

[0002] As a core facility in water conservancy and municipal engineering projects, the construction quality of thin-walled pool structures directly determines the structure's impermeability, durability, and safety stability.

[0003] Traditional thin-walled pool construction often adopts the on-site integral casting mode, which has the following prominent problems: First, the on-site operation cycle is long and greatly affected by environmental factors. The temperature and humidity control during concrete pouring and curing is difficult, and cracks are easily generated due to temperature stress and drying shrinkage, which seriously affects the seepage prevention performance of the pool. Secondly, construction quality relies on the experience and judgment of workers, lacking quantitative monitoring methods. Core data such as stress state at key nodes and heat of hydration of concrete cannot be obtained in real time, resulting in insufficient scientificity and reliability of quality control. Third, key processes such as prestressing tensioning often rely on experience, which can easily lead to local over-tensioning or under-tensioning, resulting in uneven stress on the structure and leaving potential safety hazards. Fourth, the construction process data is scattered, making it difficult to form a complete quality traceability system. The structural health assessment during the subsequent operation period lacks effective data support. Therefore, we propose a construction method for thin-walled pool structure concrete. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies by proposing a construction method for thin-walled pool structures using concrete.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A method for constructing concrete for thin-walled pool structures includes the following steps: S1: Design and component prefabrication: The pool wall is divided into several standard and non-standard sections; the standard section uses ribbed thin-walled panels prefabricated in the factory, with sensor wire interfaces and prestressed corrugated pipe channels embedded in the panels for subsequent monitoring; the mix proportion of prefabricated concrete is optimized, and high-quality admixtures are added to reduce shrinkage; S2: Foundation construction and sensor network pre-deployment: Cast a reinforced concrete base slab on site, and embed the first set of wireless temperature and humidity sensor array at the edge of the base slab corresponding to the joint of the pool wall. At the same time, lay cable channels for connecting subsequent sensors in the embedded parts of the base slab. S3: Precast Thin-Walled Panel Installation and Monitoring System Integration: Transport the precast thin-walled panels to the site and install them in place; during the installation process, simultaneously integrate the monitoring system hardware. Miniature strain sensors are installed in the pre-reserved grooves on the sidewalls of adjacent precast slabs; Connect the sensor interfaces reserved in the prefabricated slab to the cable channels embedded in the base plate to form the backbone of the sensor network; Distributed fiber optic temperature sensors and a second set of temperature and humidity sensors are fixedly installed inside the template of the node area to be poured. S4: High-performance concrete pouring and initial monitoring at key nodes: Special templates are set up at the vertical joints between all precast thin-walled panels to form node pouring cavities. Ultra-high performance concrete or micro-expansion concrete is used for pouring. The Internet of Things monitoring system is activated simultaneously when the pouring begins: The system control center receives and displays temperature and strain data from various sensors in real time to establish an initial baseline. S5: Adaptive curing and intelligent prestressing tensioning based on real-time data: Adaptive curing: The algorithm model built into the monitoring platform analyzes the core-surface temperature difference, temperature rise rate and early shrinkage strain of the concrete joint in real time; when the data exceeds the preset threshold, the system will automatically alarm and can trigger two control modes. Intelligent tensioning: After the concrete strength at the joint reaches the specified value, prestressing tensioning is performed; during the tensioning process, the monitoring system displays the stress distribution fed back by strain sensors in real time, guiding the tensioning operation to achieve symmetrical and uniform force application and avoid local over-tensioning or under-tensioning; after tensioning is completed, grouting is performed for sealing; S6: Phased Intermittent Construction and Full-Process Data Traceability: For large pools, phased construction is adopted. Each construction section repeats steps S3 to S5; the IoT monitoring system works continuously until the curing period of the entire pool wall is over; all sensor data is automatically stored to form an unalterable digital construction archive, providing a basis for quality traceability at every node; S7: Overall Maintenance and System Conversion: After the pool wall formwork is removed, moisture retention maintenance continues based on sensor data. After project acceptance, the core construction monitoring system can be converted into a long-term structural health monitoring system, with some sensors permanently retained within the structure for operational safety assessments.

[0006] Preferably, the two control modes in S5 are as follows: Mode 1: The intelligent circulating water maintenance system attached to the outside of the node template is activated in conjunction with the system to actively control the temperature by adjusting the water temperature; Mode 2: The automatic spraying and curing device above the node area is activated in conjunction with the system to adjust the surface humidity and control drying and shrinkage.

[0007] Preferably, the two sides of the ribbed thin-walled plate in S1 are pre-stitched with lapped steel bars and shear keyways.

[0008] Preferably, the bottom plate of S2 is provided with a cup-shaped foundation or an upward-turning beam for supporting the precast thin-walled slab.

[0009] Preferably, the preset thresholds in S5 include the core-surface temperature difference warning value, the maximum allowable temperature rise rate value, and the early shrinkage strain rate limit value. The thresholds are determined based on the mix design of the concrete joint and the structural simulation analysis.

[0010] Preferably, the prestressed intelligent tensioning in S5 adopts the post-tensioning method, and the tensioning sequence is carried out symmetrically along the circumferential direction of the pool wall.

[0011] Preferably, the S7 medium- and long-term structural health monitoring system can continuously monitor the strain, leakage, and deformation data of the pool during operation.

[0012] Preferably, the IoT monitoring system includes a sensor layer, a data acquisition and transmission layer, a cloud platform or local server analysis layer, and a human-computer interaction early warning layer.

[0013] Preferably, the steps for hardware integration of the monitoring system in S3 include network debugging and initial calibration of all sensor nodes to ensure smooth data flow.

[0014] The beneficial effects of this invention are: 1. Construction quality shifts from experience-based judgment to data-driven approach: Through an embedded IoT system, the entire process of key construction nodes is monitored and controlled quantitatively and in a closed loop, fundamentally improving the reliability and scientific nature of quality assurance. 2. Crack prevention and control has shifted from passive defense to active intervention: The adaptive curing system can dynamically adjust the curing strategy according to the actual condition of the concrete, and make precise interventions before cracks appear, which greatly reduces the probability of temperature cracks and shrinkage cracks. 3. Improve the safety and traceability of the construction process: The prestressing tensioning process is visible and controllable, avoiding blind operation. The entire process data is archived, realizing the traceability and diagnosis of project quality, which is in line with the trend of digital project management. 4. It retains and enhances all the advantages of the original solution: while realizing intelligent monitoring, it fully retains the advantages of semi-prefabricated construction, such as high efficiency, good integrity and good economic benefits, and further consolidates its reliability through enhanced monitoring of nodes. Detailed Implementation

[0015] This application discloses a method for constructing concrete for thin-walled pool structures. Example 1:

[0016] A method for constructing concrete for thin-walled pool structures includes the following steps: S1: Design and Component Prefabrication: Based on the structural dimensions and stress characteristics of the pool, the pool wall is divided into several standard and non-standard sections. The standard sections use prefabricated ribbed thin-walled panels to improve construction efficiency and ensure consistent component quality. The two sides of the ribbed thin-walled panels are pre-embedded with lapped steel bars and shear keyways to enhance the connection strength with the cast-in-place joints. Sensor wire interfaces and prestressed corrugated pipe ducts for subsequent monitoring are pre-embedded in the panels to provide conditions for monitoring system integration and prestressed construction. The mix proportion of precast concrete is specially optimized. By adding high-quality admixtures to replace part of the cement, the peak heat of hydration and shrinkage deformation of concrete are reduced, thereby improving the crack resistance of components from the material level. During the precasting process, the vibration process and curing conditions are strictly controlled to ensure that the strength, flatness and position accuracy of the ribbed thin-walled panels meet the design requirements. S2: Foundation Construction and Sensor Network Pre-deployment: On-site reinforced concrete slab pouring is carried out. Before the slab construction, foundation treatment and rebar binding are completed to ensure that the foundation bearing capacity meets the design requirements. At the edge of the slab corresponding to the pool wall joint, the first set of wireless temperature and humidity sensor arrays is pre-embedded to monitor the temperature and humidity changes in the connection area between the slab and the pool wall in real time. At the same time, a dedicated cable channel is pre-set in the embedded parts of the slab. The cable channel is wrapped with corrosion-resistant pipe to avoid damage to the cable during subsequent construction and to provide a path for subsequent sensor network connection. The bottom slab edge is provided with cup-shaped foundations or upturned beams to support the precast thin-walled panels. The dimensions of the cup-shaped foundations or upturned beams match the bottom of the precast thin-walled panels, and their concrete strength grade is not lower than that of the precast components to ensure stable support for the pool walls. After the bottom slab is poured, it is covered and kept moist for curing for no less than 14 days, until the strength reaches more than 75% of the design requirements. S3: Precast Thin-Walled Panel Installation and Monitoring System Integration: The factory-prefabricated ribbed thin-walled panels are transported to the construction site using specialized transport equipment. During transportation, flexible fixing methods are used to avoid collision damage to the components. Before installation, the top surface of the cup-shaped foundation or the upturned beam is leveled and coated with a cement-based interface agent to enhance the adhesion to the precast panel. Then, the precast thin-walled panels are hoisted into place using lifting equipment, and the verticality and spacing of the components are adjusted. Temporary supports are used for fixing to ensure that the installation accuracy meets the specifications.

[0017] During the installation process, the monitoring system hardware is integrated simultaneously, which includes the following operations: Miniature strain sensors are installed in the reserved grooves on the sidewalls of adjacent precast slabs. The sensors are waterproof and have their sensing ends tightly fitted to the sidewalls of the precast slabs to monitor strain changes at the joints. Connect the sensor wire interface reserved in the prefabricated slab to the cable in the cable channel embedded in the base plate to form the backbone of the sensor network. After the connection is completed, perform a continuity test to ensure smooth data transmission. Inside the formwork of the node area to be poured, a distributed fiber optic temperature sensor and a second set of temperature and humidity sensors are fixedly installed. The distributed fiber optic temperature sensor is evenly distributed along the length of the node, with a monitoring accuracy of not less than ±0.5℃. The second set of temperature and humidity sensors is in close contact with the surface of the node concrete to capture the temperature and humidity data of the node concrete surface. Perform network debugging and initial calibration on all sensor nodes, send test signals through the IoT monitoring system to confirm that the data acquisition and transmission of each sensor are normal, and establish the initial working benchmark of the sensor. S4: High-performance concrete pouring and initial monitoring at key nodes: Dedicated formwork is erected at the vertical joints between all precast thin-walled slabs. The formwork is made of high-strength aluminum alloy and coated with a release agent. Sealing strips are installed at the joints of the formwork to prevent grout leakage and form a closed node pouring cavity. Ultra-high performance concrete or micro-expansion concrete is used for node pouring. The design strength grade of this concrete is not lower than C80. It has low shrinkage, high fluidity and early strength characteristics. Before pouring, the joints of the precast slabs are moistened to remove surface dust and debris. The concrete is poured in layers, with each layer not exceeding 300mm in thickness. It is compacted using an immersion vibrator, and care is taken to avoid touching the sensors and embedded cables during the vibration process. The Internet of Things (IoT) monitoring system is activated simultaneously at the start of pouring. This system includes a sensor layer, a data acquisition and transmission layer, a cloud platform or local server analysis layer, and a human-machine interaction early warning layer. The system control center receives and displays temperature and strain data from each sensor in real time, establishing an initial data benchmark for construction and providing a basis for subsequent adjustments. S5: Adaptive curing and intelligent prestressing tensioning based on real-time data: 5.1 Adaptive Curing: The monitoring platform incorporates a big data-based algorithm model to analyze the core-to-surface temperature difference, temperature rise rate, and early shrinkage strain data of the concrete joint in real time. Preset thresholds include a core-to-surface temperature difference warning value (usually not exceeding 25℃), a maximum allowable temperature rise rate value (usually not exceeding 10℃ / d), and an early shrinkage strain rate limit. These thresholds are determined based on the concrete mix design and structural simulation analysis to ensure they match the concrete performance and structural stress state. When the monitored data exceeds the preset threshold, the system automatically issues an audible and visual alarm and can trigger two control modes to achieve proactive intervention in the concrete condition: Mode 1: The intelligent circulating water maintenance system attached to the outside of the node template is activated in conjunction with the temperature sensor to adjust the circulating water temperature. When the temperature difference between the core and the surface is too large, warm or cold water is introduced for active temperature control to keep the temperature difference within a safe range. Mode 2: The automatic spray curing device above the node area is activated in conjunction with the temperature and humidity sensor data to adjust the spray frequency and water volume, keep the concrete surface moist, control drying shrinkage, and prevent surface cracks from forming. 5.2 Intelligent Tensioning: After the concrete strength of the joint reaches the design value (usually not less than 80% of the design strength), prestressing tensioning is carried out. The prestressing tensioning adopts the post-tensioning method, and the tensioning sequence is symmetrical along the circumferential direction of the pool wall to ensure uniform stress on the structure. The tensioning equipment adopts an intelligent tensioning system, which is linked with the Internet of Things monitoring system. During the tensioning process, the monitoring system displays the stress distribution feedback from the micro strain sensor in real time, guiding the operator to adjust the tensioning rate and tension value to achieve symmetrical and uniform force application and avoid structural damage caused by local over-tensioning or under-tensioning. After tensioning, the prestressed corrugated pipe ducts are vacuum-assisted grouting. The grouting material is high-strength cement grout with added rust inhibitors and expansion agents to ensure grout density. After grouting, the ducts are sealed and protected to prevent corrosion. S6: Phased Intermittent Construction and Full-Process Data Traceability: For large pools with a perimeter exceeding 50m or a height exceeding 6m, a phased intermittent construction method is adopted, dividing the pool wall into multiple independent construction sections, each with a length controlled within the range of 15-20m. The construction steps from S3 to S5 are repeated for each construction section, with an interval of no less than 7 days between adjacent sections to ensure sufficient hydration of the concrete at the joints of the already constructed sections and to avoid stress concentration caused by construction interference. The IoT monitoring system operates continuously throughout the construction process until the end of the curing period of the entire pool wall (usually no less than 28 days). All data collected by the sensors, such as temperature, strain, temperature and humidity, are automatically stored in the cloud platform or local server through encrypted transmission, forming an unalterable digital construction archive. The archive contains the construction time, concrete parameters, tension data and monitoring curves of each construction section, providing a full life cycle quality traceability basis for each node. S7: Overall Curing and System Conversion: After all sections of the pool wall are completed, remove the joint formwork and temporary supports, avoiding collisions with the precast slabs and sensors during removal. After formwork removal, continue moisturizing curing based on sensor data, using geotextile covering and an automatic spraying system to maintain a relative humidity of no less than 90% on the concrete surface, with a curing time of no less than 14 days. After the project passes acceptance, the core construction monitoring system can be directly converted into a long-term structural health monitoring system. Some stable sensors (such as distributed fiber optic temperature sensors and micro strain sensors) are permanently placed inside the structure to continuously monitor the strain, leakage and deformation data of the pool during the operation period. The data is transmitted to the operation management platform through the Internet of Things to provide data support for structural safety assessment, hazard warning and maintenance decision-making. Example 2:

[0018] The following detailed description of the specific implementation of the present invention is based on a construction example of a sedimentation tank in a municipal wastewater treatment plant. The sedimentation tank is a circular, thin-walled structure with a diameter of 30m and a wall height of 5m. The construction method described in this invention is employed, and the specific steps are as follows: S1: Design and Component Prefabrication: Based on the sedimentation tank dimensions, the tank wall is divided into 12 standard sections (each with an arc length of 7.85m and a height of 5m) and 2 non-standard sections (used to adjust for perimeter errors). The standard sections are prefabricated using C50 ribbed thin-walled panels, with a panel thickness of 200mm and a rib height of 300mm. φ16 lapped steel bars (extending length 500mm) and 100mm deep shear keyways are pre-installed on both sides of the panel. RS485 interface sensor wires and φ50 prestressed corrugated pipe channels are pre-embedded within the panel, with a channel spacing of 1.5m. The precast concrete mix proportion is: cement 320kg / m³, fly ash 100kg / m³, mineral powder 80kg / m³, sand 780kg / m³, stone 1050kg / m³, water 160kg / m³, and water-reducing agent 6.5kg / m³. Shrinkage is reduced through admixture optimization. Steam curing is used for precast panels to ensure a strength of over 55MPa after 28 days.

[0019] S2: Foundation Construction and Sensor Network Pre-deployment: A C30 reinforced concrete base slab with a thickness of 600mm is poured on site. At the edge of the base slab corresponding to the pool wall joint, one wireless temperature and humidity sensor (model SHT30) is pre-embedded every 1m, for a total of 14 sensors forming the first array. A φ100 PVC cable protection pipe is laid in the pre-embedded parts of the base slab as a cable channel, with multi-core shielded cables running inside. A 300mm×500mm cup-shaped foundation is set at the edge of the base slab, with the inner surface of the cup roughened. After pouring, the foundation is covered with geotextile and watered for 14 days.

[0020] S3: Installation and Monitoring System Integration of Precast Thin-Walled Panels: Precast panels are transported by flatbed trucks and hoisted into place on-site using a 25t truck crane. After leveling the top surface of the cup-shaped foundation, a cement-based interface agent is applied. After hoisting, the verticality of the precast panels is corrected using a theodolite (deviation ≤3mm / m), and temporary supports are provided using φ48 steel pipes. During the installation process, the monitoring system is integrated: 28 miniature strain sensors (model BLR-100) are installed in the pre-reserved grooves on the side walls of adjacent precast panels. The sensor interfaces inside the precast panels are connected to the shielded cables in the cable channels of the base plate to form the network backbone. One set of distributed fiber optic temperature sensors (model DTS-800) and temperature and humidity sensors (model SHT31) are deployed every 1m along the height direction inside the node template, for a total of 5 sets. After network debugging, all sensor data transmission is normal.

[0021] S4: High-performance concrete pouring and initial monitoring at key nodes: C80 ultra-high-performance concrete is used for pouring at nodes, with the following mix proportions: cement 450kg / m³, silica fume 80kg / m³, mineral powder 120kg / m³, sand 800kg / m³, aggregate 600kg / m³, water 150kg / m³, steel fiber 200kg / m³, and water-reducing agent 12kg / m³. Aluminum alloy formwork is erected to form the pouring cavity. The joint surface is moistened before pouring. Layered pouring and vibration are adopted, with each layer being 250mm thick. After the start of pouring, the Internet of Things monitoring system is activated to monitor the concrete temperature (initial temperature 25℃, hydration heat peak 48℃) and strain data at the nodes in real time, and to establish an initial benchmark.

[0022] S5: Adaptive curing and intelligent prestressing tensioning based on real-time data: During the curing process, when the core surface temperature difference reaches 23℃ (close to the warning value of 25℃), the system automatically triggers mode one, starts the intelligent circulating water system to introduce 28℃ warm water, and after 2 hours, the core surface temperature difference drops to 18℃; when the concrete surface humidity is detected to be below 85%, the system triggers mode two, and the automatic spray device starts to keep the surface moist; after the joint concrete strength reaches 40MPa (80% of the design strength), the intelligent tensioning equipment is used for prestressing tensioning. The tensioning sequence is symmetrical along the circumferential direction, and the tensioning control stress is 1395MPa. During the tensioning process, the strain sensor feedback shows that the stress distribution is uniform, with no over-tensioning or under-tensioning. After tensioning is completed, vacuum grouting is performed for sealing.

[0023] S6: Phased intermittent construction and full-process data traceability: The pool wall is divided into 3 construction sections, each containing 4 standard sections, with an 8-day construction interval. Steps S3-S5 are repeated for each section. The Internet of Things system continuously collects data, storing a total of 120,000 temperature data and 80,000 strain data, forming a digital construction archive. The construction data for each section can be queried and traced in real time.

[0024] S7: Overall Maintenance and System Conversion: After the entire pool wall is constructed, the formwork is removed, and geotextile is used for covering combined with automatic spraying for 14 days. Sensor monitoring shows that the surface humidity of the concrete remains above 92%. After the project passes acceptance, the construction monitoring system is converted into a health monitoring system, retaining distributed fiber optic sensors and micro-strain sensors for monitoring pool strain and leakage during operation.

[0025] The construction period of this sedimentation tank is 30% shorter than that of the traditional cast-in-place process. There are no visible cracks in the joint concrete, the strength reaches the standard in 28 days, and the monitoring data after one year of operation shows that the structural strain is stable and there is no leakage problem, which verifies the effectiveness and reliability of the method of the present invention.

[0026]

[0027] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for constructing concrete for thin-walled pool structures, characterized in that, Includes the following steps: S1: Design and component prefabrication: Divide the pool wall into several standard sections and non-standard sections; The standard section uses prefabricated ribbed thin-walled panels in the factory, with sensor wire interfaces and prestressed corrugated pipe channels embedded in the panels for subsequent monitoring; the mix proportion of the precast concrete is optimized, and high-quality admixtures are added to reduce shrinkage. S2: Foundation construction and sensor network pre-deployment: Cast a reinforced concrete base slab on site, and embed the first set of wireless temperature and humidity sensor array at the edge of the base slab corresponding to the joint of the pool wall. At the same time, lay cable channels for connecting subsequent sensors in the embedded parts of the base slab. S3: Precast Thin-Walled Panel Installation and Monitoring System Integration: Transport the precast thin-walled panels to the site and install them in place; during the installation process, simultaneously integrate the monitoring system hardware. Miniature strain sensors are installed in the pre-reserved grooves on the sidewalls of adjacent precast slabs; Connect the sensor interfaces reserved in the prefabricated slab to the cable channels embedded in the base plate to form the backbone of the sensor network; Distributed fiber optic temperature sensors and a second set of temperature and humidity sensors are fixedly installed inside the template of the node area to be poured. S4: High-performance concrete pouring and initial monitoring at key nodes: Special templates are set up at the vertical joints between all precast thin-walled panels to form node pouring cavities. Ultra-high performance concrete or micro-expansion concrete is used for pouring. The Internet of Things monitoring system is activated simultaneously when the pouring begins: The system control center receives and displays temperature and strain data from various sensors in real time to establish an initial baseline. S5: Adaptive curing and intelligent prestressing tensioning based on real-time data: Adaptive curing: The algorithm model built into the monitoring platform analyzes the core-surface temperature difference, temperature rise rate and early shrinkage strain of the concrete joint in real time; when the data exceeds the preset threshold, the system will automatically alarm and can trigger two control modes. Intelligent tensioning: After the concrete strength at the joint reaches the specified value, prestressing tensioning is performed; during the tensioning process, the monitoring system displays the stress distribution fed back by strain sensors in real time, guiding the tensioning operation to achieve symmetrical and uniform force application and avoid local over-tensioning or under-tensioning; after tensioning is completed, grouting is performed for sealing; S6: Phased Intermittent Construction and Full-Process Data Traceability: For large pools, phased construction is adopted. Each construction section repeats steps S3 to S5; the IoT monitoring system works continuously until the curing period of the entire pool wall is over; all sensor data is automatically stored to form an unalterable digital construction archive, providing a basis for quality traceability at every node; S7: Overall Maintenance and System Conversion: After the pool wall formwork is removed, moisture retention maintenance continues based on sensor data. After project acceptance, the core construction monitoring system can be converted into a long-term structural health monitoring system, with some sensors permanently retained within the structure for operational safety assessments.

2. The construction method of concrete for a thin-walled pool structure according to claim 1, characterized in that, The two control modes in S5 are as follows: Mode 1: The intelligent circulating water maintenance system attached to the outside of the node template is activated in conjunction with the system to actively control the temperature by adjusting the water temperature; Mode 2: The automatic spraying and curing device above the node area is activated in conjunction with the system to adjust the surface humidity and control drying and shrinkage.

3. The construction method of concrete for a thin-walled pool structure according to claim 1, characterized in that, The two sides of the ribbed thin-walled plate in S1 are pre-stitched with lapped steel bars and shear keyways.

4. The construction method of concrete for a thin-walled pool structure according to claim 1, characterized in that, The bottom plate of S2 is equipped with cup-shaped foundations or upturned beams for supporting precast thin-walled panels.

5. A construction method for concrete in a thin-walled pool structure according to claim 1, characterized in that, The preset thresholds in S5 include the core-surface temperature difference warning value, the maximum allowable temperature rise rate value, and the early shrinkage strain rate limit value. The thresholds are determined based on the mix design of the concrete joint and the structural simulation analysis.

6. The construction method of concrete for a thin-walled pool structure according to claim 1, characterized in that, In S5, the prestressed intelligent tensioning adopts the post-tensioning method, and the tensioning sequence is carried out symmetrically along the circumferential direction of the pool wall.

7. A construction method for concrete in a thin-walled pool structure according to claim 1, characterized in that, The S7 medium- and long-term structural health monitoring system can continuously monitor the strain, leakage, and deformation data of the pool during operation.

8. A construction method for concrete in a thin-walled pool structure according to claim 1, characterized in that, The IoT monitoring system includes a sensor layer, a data acquisition and transmission layer, a cloud platform or local server analysis layer, and a human-computer interaction early warning layer.

9. A construction method for concrete in a thin-walled pool structure according to claim 1, characterized in that, The steps for hardware integration of the monitoring system in S3 include network debugging and initial calibration of all sensor nodes to ensure smooth data flow.

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