Real-time monitoring, regulating and controlling method for concrete pouring cracks of high-rise building

Abstract

The invention discloses a real-time monitoring, regulating and controlling method for concrete pouring cracks of a high-rise building, and the method comprises the steps: arranging a distributed optical fiber sensor array and an ultrasonic detector in a concrete pouring region of the high-rise building, and collecting the data of a temperature field and a strain field in concrete in real time based on the distributed optical fiber sensor array; the collected data parameters are transmitted to a data processing terminal, and a crack early warning model is established in combination with concrete material characteristic parameters; analyzing the received data by using a crack early warning model, and judging whether the concrete has cracks and the development trend of the cracks; and when the crack is monitored or the crack development risk exists, the regulation and control system is started. The system has the beneficial effects that all-directional real-time monitoring of the internal state of concrete is realized through combination of distributed optical fibers and ultrasonic detection, the coverage range is wider, and data is more comprehensive. A crack early warning model constructed based on multiple parameters is combined with a deep learning architecture, so that the precision of crack identification and trend prediction is greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of high-rise building gap detection, in particular to a real-time monitoring and regulation method for high-rise building concrete pouring cracks. BACKGROUND

[0002] In the field of high-rise building concrete construction, crack control has always been a key link to ensure structural safety. Currently, the industry generally uses traditional monitoring methods, such as laying temperature sensors and strain gauges, combined with manual inspection to track the state changes after concrete pouring. At the same time, in terms of regulation, it relies on experience-based operations, such as adjusting the curing cover or manually watering to maintain environmental conditions, in an attempt to reduce the likelihood of cracks. These methods provide a basic guarantee for construction safety to some extent and have become the conventional choice in current engineering practice. However, the existing technology has obvious limitations. The traditional sensor layout method has limited coverage and is difficult to fully capture the temperature and strain distribution inside large structures, making it easy to miss abnormal changes in key areas. Manual regulation methods lack real-time data support and often lag behind the development trend of cracks, making it difficult to achieve precise intervention. In addition, the existing early warning mechanism is based on a single parameter judgment and does not comprehensively consider the dynamic correlation between concrete material properties and structural stress state, resulting in insufficient warning accuracy and difficulty in effectively preventing the initiation and propagation of cracks.

[0003] Currently, there is no good method on the market to solve the above problems. SUMMARY

[0004] This section aims to summarize some aspects of the embodiments of the present application and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of the specification to avoid obscuring the purpose of this section, abstract and title, and such simplifications or omissions cannot be used to limit the scope of the present application.

[0005] To solve the above technical problems, the present application provides the following technical solutions: a real-time monitoring and regulation method for high-rise building concrete pouring cracks, characterized in that it comprises the following steps: laying a distributed optical fiber sensor array and an ultrasonic detector in the concrete pouring area of a high-rise building, real-time collecting internal temperature field and strain field data of the concrete based on the distributed optical fiber sensor array, and obtaining acoustic parameters of the internal structure of the concrete through the ultrasonic detector; transmitting the collected temperature field, strain field data and acoustic parameters to a data processing terminal, and establishing a crack warning model in combination with the material property parameters of the concrete; analyzing the received data using the crack warning model to determine whether cracks have appeared in the concrete and the development trend of the cracks; When the crack is monitored or there is a risk of crack development, the regulation system is started to regulate the concrete pouring process in real time by adjusting the pouring rate, adjusting the curing temperature and humidity and applying external prestress until the crack risk is eliminated.

[0006] As a preferred scheme of the real-time monitoring and regulation method for concrete pouring cracks of high-rise buildings, the distributed optical fiber sensor array is arranged in a three-dimensional grid topology inside the reinforcement framework of the concrete pouring area, including horizontal sensing units arranged in vertical layers and ring sensing units arranged in the circumferential direction of the core tube shear wall, and the spacing between each sensing unit is dynamically encrypted according to the stress concentration area of the structure.

[0007] As a preferred scheme of the real-time monitoring and regulation method for concrete pouring cracks of high-rise buildings, the concrete material characteristic parameters at least include the hydration heat release rate curve, the elastic modulus time-varying function, the creep coefficient and the shrinkage strain evolution function, and the characteristic parameters are corrected in real time through laboratory test block synchronous curing test.

[0008] As a preferred scheme of the real-time monitoring and regulation method for concrete pouring cracks of high-rise buildings, the crack warning model calculates the crack risk index through the following formula:

[0009] Where Γ is the crack risk index, α, β, γ are weight coefficients, T is the temperature field data, |∂T / ∂t| represents the absolute value of the change rate of temperature with time, ε is the strain field data, |∇²ε| represents the absolute value of the spatial second-order derivative of the strain field, v p is the real-time wave speed of ultrasonic longitudinal wave, v p 0 is the reference wave speed at the initial setting of concrete, Δv p =v p -v p 0 represents the wave speed change amount, when Γ>Γ th， , the regulation system is triggered, and the Γ th is a preset threshold.

[0010] As a preferred scheme of the real-time monitoring and regulation method for concrete pouring cracks of high-rise buildings, the regulation of the pouring rate is realized by controlling the motor speed of the concrete pumping equipment through a frequency converter; the adjustment of the curing temperature and humidity is realized by adjusting the temperature of the circulating medium in the template interlayer through temperature control equipment and starting and stopping the atomizing nozzle; the external prestress is applied by a hydraulic jack to the structure constraint position to apply a controllable counterforce.

[0011] As a preferred scheme of the real-time monitoring and regulation method for the concrete pouring cracks of the high-rise building, after starting the regulation system, the distributed optical fiber sensor array changes the sampling frequency to collect data, dynamically evaluates the regulation effect according to the new data, and generates a regulation parameter optimization scheme until the crack risk index continuously falls below the safety threshold for a preset time length.

[0012] As a preferred scheme of the real-time monitoring and regulation method for the concrete pouring cracks of the high-rise building, the crack early warning model adopts a deep learning architecture based on LSTM, the input layer includes a temperature gradient field, a strain energy density distribution and an acoustic attenuation coefficient matrix, and the output layer includes a crack initiation probability and an expansion direction prediction vector.

[0013] As a preferred scheme of the real-time monitoring and regulation method for the concrete pouring cracks of the high-rise building, the data collection is started immediately after the initial setting of the concrete, a first sampling frequency is used in the first three days after pouring, and a second sampling frequency is switched to after three days, and a third sampling frequency is automatically enabled when abnormal data is monitored.

[0014] In a second aspect, some embodiments of the present application provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any of the implementation manners of the first aspect.

[0015] In a third aspect, some embodiments of the present application provide a computer readable medium having a computer program stored thereon, wherein the program is executed by a processor to implement the method described in any of the implementation manners of the first aspect.

[0016] The present application has obvious advantages. Through the combination of distributed optical fiber and ultrasonic detection, the present application realizes the all-around real-time monitoring of the internal state of concrete, has a wider coverage and more comprehensive data. The crack early warning model based on multiple parameters and combined with deep learning architecture greatly improves the accuracy of crack identification and trend prediction. The regulation system links the pouring rate, temperature and humidity, and prestress adjustment to form a closed-loop feedback mechanism, which can dynamically intervene in real time according to the monitoring data, significantly improves the timeliness and effectiveness of crack control, and provides more reliable protection for the construction quality of high-rise building concrete structures. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without any creative effort.

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort based on these drawings. Among them: Figure 1 The flow structure diagram of the real-time monitoring and regulation method for the concrete pouring cracks of the high-rise building in Embodiment 1.

[0019] Figure 2 The overall method structure schematic diagram of the real-time monitoring and regulation method for the concrete pouring cracks of the high-rise building in Embodiment 1.

[0020] Figure 3 The computer storage medium identification schematic diagram of the real-time monitoring and regulation method for the concrete pouring cracks of the high-rise building in Embodiment 3. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned objects, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings.

[0022] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, but the present application can also be practiced in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the connotation of the present application, therefore the present application is not limited to the specific embodiments disclosed below.

[0023] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In one embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an independent or alternative embodiment that excludes other embodiments.

[0024] Embodiment 1, refer to Figures 1 to 2 For the first embodiment of the present application, the embodiment provides a real-time monitoring and regulation method for concrete pouring cracks of a high-rise building, comprising: Distributed optical fiber sensor arrays and ultrasonic detectors are arranged in the concrete pouring area of the high-rise building, the internal temperature field and strain field data of the concrete are collected in real time based on the distributed optical fiber sensor arrays, and the acoustic parameters of the internal structure of the concrete are obtained through the ultrasonic detectors; The collected temperature field, strain field data and acoustic parameters are transmitted to a data processing terminal, and a crack warning model is established in combination with concrete material characteristic parameters; the distributed fiber sensor array is arranged in a three-dimensional grid topology structure inside the reinforcement framework of the concrete pouring area, including horizontal sensing units arranged in vertical layers and ring sensing units arranged in the circumferential direction of the core tube shear wall, and the spacing between each sensing unit is dynamically encrypted according to the stress concentration area of the structure.

[0025] The concrete material characteristic parameters at least include a hydration heat release rate curve, an elastic modulus time-varying function, a creep coefficient and a shrinkage strain evolution function, and the characteristic parameters are corrected in real time through laboratory test block synchronous maintenance test. The data collection is started immediately after the initial setting of the concrete, and the first sampling frequency is used in the first three days after pouring, and the second sampling frequency is switched to after three days, and the third sampling frequency is automatically enabled when abnormal data is monitored.

[0026] The received data is analyzed by using the crack warning model to determine whether the concrete has cracks and the development trend of the cracks; When cracks or crack development risks are monitored, the regulation system is started, and the concrete pouring process is real-time regulated by adjusting the pouring rate, adjusting the curing temperature and humidity and applying external prestress until the crack risk is eliminated.

[0027] The crack warning model calculates the crack risk index by the following formula:

[0028] Where Γ is the crack risk index, α, β, γ are weight coefficients, T is the temperature field data, |∂T / ∂t| represents the absolute value of the rate of change of temperature with time, ε is the strain field data, |∇²ε| represents the absolute value of the spatial second derivative of the strain field, v p is the real-time wave velocity of the ultrasonic longitudinal wave, v p 0 is the reference wave velocity when the concrete is initially set, Δv p =v p -v p 0 represents the wave velocity change amount, when Γ>Γ th， , the regulation system is triggered, and the Γ th is a preset threshold. The crack warning model adopts a deep learning architecture based on LSTM, the input layer includes the temperature gradient field, the strain energy density distribution and the acoustic attenuation coefficient matrix, and the output layer includes the crack initiation probability and the expansion direction prediction vector.

[0029] Adjusting the pouring rate is realized by controlling the motor speed of the concrete pumping equipment through a frequency converter; adjusting the curing temperature and humidity is realized by adjusting the temperature of the circulating medium in the template interlayer and the start-stop of the atomizing nozzle through temperature control equipment; and applying external prestress is realized by applying a controllable counterforce to the structure constraint position through a hydraulic jack.

[0030] After starting the regulation system, the distributed optical fiber sensor array changes the sampling frequency to collect data, dynamically evaluates the regulation effect according to the new data, and generates a regulation parameter optimization scheme until the crack risk index continuously falls below the safety threshold for a preset length of time.

[0031] Embodiment 2, the second embodiment of the present application, which is different from the first embodiment, further comprises test preparation and implementation process: This method is implemented in the core tube shear wall pouring engineering of a 380-meter super high-rise building. The core tube section size is 24m x 18m, the wall thickness is 1.2m, and C60 self-compacting concrete is used. The implementation process is as follows: Sensor layout: The distributed optical fiber sensor is laid out in a 0.8m x 0.8m three-dimensional grid in the steel reinforcement framework, a total of 12 layers of horizontal sensing units (48 measuring points per layer) and 4 groups of ring sensing units (32 measuring points per circle), and the measuring points at the corners of the shear wall are encrypted to a spacing of 0.4m. The ultrasonic detector is arranged inside the formwork at a rate of 1 probe per square meter.

[0032] Data collection: Start the system after the initial setting of the concrete, the sampling frequency is 10 minutes per time for the first three days, and then adjust to 30 minutes per time. Real-time collection of temperature field, strain field and ultrasonic wave velocity data, correction of hydration heat release curve (peak temperature 72℃) and elastic modulus time-varying function through laboratory synchronous curing test block.

[0033] Crack warning: The warning model with LSTM architecture, the input layer includes temperature gradient field, strain energy density distribution and acoustic attenuation coefficient matrix. When the crack risk index Γ output by the model exceeds the threshold value (Γ th =1.25) calculated by fracture mechanics, trigger the three-level response mechanism.

[0034] Dynamic regulation: At the 28th hour after pouring, the Γ value of the southwest corner measuring point of the core tube rises to 1.83, the system immediately executes: ① reduce the pumping rate from 35m³ / h to 25m³ / h through the frequency converter; ② start the formwork interlayer circulating cooling system (water temperature from 25℃ to 18℃); ③ apply 150kN pre-stress to the adjacent constraint end by hydraulic jack. Collect data every 5 minutes after regulation until Γ value is stable below 0.92 for 2 consecutive hours.

[0035] Table 1: Core tube shear wall monitoring data Table 2: Crack regulation record of mega column (C70) Table 3: Real-time response analysis of transfer floor beam Table 4: Acoustic monitoring report of cantilever floor Table 5: Comparison of post-cast strip pre-curing effect Table 6: Data of the control group using the traditional method Through six sets of control experiments, it is shown that the technical scheme realizes three breakthroughs compared with the prior art: 1: Early warning capability is improved, the traditional method relies on 0.05mm or more physical crack trigger response (Table 6), and the scheme can warn when the crack width is less than or equal to 0.04mm through the crack risk index Γ (Tables 1-5). As shown in Table 2, when the column bottom Γ = 2.07, the crack is only 0.03mm, which is 9.2 hours earlier than the traditional temperature sensor (which requires a crack of 0.06mm).

[0036] 2: The advantage of multi-field coupling analysis, the existing technology has a single monitoring field with a false negative rate of up to 34% (Table 6 industry average), and the scheme integrates three parameters of temperature gradient |∂T / ∂t| (Table 2), strain concentration |∇²ε| (Table 3), and wave speed change rate (Table 4): When the cantilever floor end has no surface crack, the wave speed decreases by 7.2% and the strain direction angle is 54° (Table 4), which together trigger the warning; When the strain energy density of the right support of the transfer beam is 0.38kJ / m³ (Table 3) and exceeds the threshold, the system automatically increases the humidity by 25%; Table 7: Comparison of economic efficiency As shown in Table 5, the post-cast strip experiment: the repair cost of the traditional method is ￥10,200, and the scheme realizes zero crack through pre-curing, and under the same engineering conditions, the advantages of the present invention are more obvious: 1. Response speed: the response time of the scheme is ≤8.2min (Table 1), which is 76.6% faster than the traditional vibration sensor; 2. Damage control: the final crack width is controlled within 0.04mm, which eliminates the need for repair; 3. Long-term benefits: the crack recurrence rate is reduced from an industry average of 28% (Table 6) to 3.2%.

[0037] The above data proves that the multi-field differential feature fusion model of the present invention solves the three technical bottlenecks of weak early signal, poor single field correlation, and lagging regulation in concrete crack monitoring, and provides the industry with the first full-process closed-loop control system.

[0038] Embodiment 3, refer to Figure 3 The third embodiment of the present invention is different from the first two embodiments: Reference is made to Figure 3 which shows a structural diagram of an electronic device 300 suitable for implementing some embodiments of the present invention. The electronic device in some embodiments of the present invention can include but is not limited to mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablets), PMPs (Portable Multimedia Players), vehicle terminals (such as vehicle navigation terminals), and the like, as well as fixed terminals such as digital TVs, desktop computers, and the like. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0039] like Figure 3 As shown, electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 302 or programs loaded from a storage device 308 into a random access memory (RAM) 303. RAM 303 also stores various programs and data required for the operation of electronic device 300. Processing device 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to bus 304.

[0040] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as needed.

[0041] Furthermore, the storage medium of the embodiments of the present application stores program instructions capable of implementing all of the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or terminal devices such as a computer, server, mobile phone, or tablet.

[0042] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or components referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limiting the present invention; the terms "first", "second", and "third" are only used for descriptive purposes and should not be understood as indicating or implying relative importance. In addition, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, an indirect connection through an intermediate medium, or it can be internal communication between two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0043] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A real-time monitoring and control method for concrete pouring cracks in high-rise buildings, characterized in that: The following steps are involved: Distributed fiber optic sensor arrays and ultrasonic detectors are deployed in the concrete pouring area of ​​high-rise buildings. The distributed fiber optic sensor arrays collect real-time temperature and strain field data inside the concrete, and the ultrasonic detectors are used to obtain the acoustic parameters of the concrete's internal structure. The collected temperature field, strain field data and acoustic parameters are transmitted to the data processing terminal, and a crack early warning model is established in combination with the characteristic parameters of the concrete material; Use the crack early warning model to analyze the received data to determine whether cracks appear in the concrete and the development trend of the cracks; When cracks are detected or there is a risk of crack development, the control system is activated to control the concrete pouring process in real time by adjusting the pouring rate, adjusting the curing temperature and humidity, and applying external prestressing until the crack risk is eliminated.

2. The real-time monitoring and control method for concrete pouring cracks in high-rise buildings according to claim 1 is characterized by: The distributed fiber optic sensor array is arranged in a three-dimensional grid topology inside the steel skeleton of the concrete pouring area, including horizontal sensing units arranged in layers along the vertical direction and circumferential sensing units arranged along the circumference of the core tube shear wall. The spacing between each sensing unit is dynamically increased according to the structural stress concentration area.

3. The real-time monitoring and control method for concrete pouring cracks in high-rise buildings according to claim 1 is characterized by: The concrete material characteristic parameters at least include a hydration heat release rate curve, a time-varying function of the elastic modulus, a creep coefficient, and a shrinkage strain evolution function, and the characteristic parameters are corrected in real time through a laboratory specimen synchronous curing test.

4. The real-time monitoring and control method for concrete pouring cracks in high-rise buildings according to claim 1 is characterized by: The crack early warning model calculates the crack risk index using the following formula: ； Where Γ is the crack risk index, α, β, γ are weight coefficients, T is the temperature field data, |∂T / ∂t| represents the absolute value of the temperature change rate over time, ε is the strain field data, |∇²ε| represents the absolute value of the spatial second-order derivative of the strain field, and v p is the real-time velocity of ultrasonic longitudinal wave, v p 0 is the reference wave velocity when the concrete is initially set, Δv p =v p -v p 0 represents the change in wave velocity, when Γ>Γ th， When the control system is triggered, the Γ th is the preset threshold.

5. The real-time monitoring and control method for high-rise building concrete pouring cracks according to claim 1 is characterized by: The pouring rate is adjusted by controlling the motor speed of the concrete pumping equipment through a frequency converter; the curing temperature and humidity are adjusted by adjusting the temperature of the circulating medium in the template interlayer and the start and stop of the atomizing nozzle through a temperature control device; the external prestress is applied by applying a controllable reaction force to the structural constraint parts through a hydraulic jack.

6. The real-time monitoring and control method for high-rise building concrete pouring cracks according to claim 1 is characterized by: After the control system is started, the distributed fiber optic sensor array changes the sampling frequency to collect data, dynamically evaluates the control effect based on the new data, and generates a control parameter optimization plan until the crack risk index remains below the safety threshold for a preset period of time.

7. The real-time monitoring and control method for high-rise building concrete pouring cracks according to claim 1 is characterized by: The crack early warning model adopts a deep learning architecture based on LSTM. The input layer includes the temperature gradient field, strain energy density distribution and acoustic attenuation coefficient matrix, and the output layer includes the crack initiation probability and expansion direction prediction vector.

8. The real-time monitoring and control method for high-rise building concrete pouring cracks according to claim 1 is characterized by: The data collection starts immediately after the initial setting of the concrete, uses the first sampling frequency for the first three days after pouring, switches to the second sampling frequency after three days, and automatically activates the third sampling frequency when abnormal data is monitored.

9. An electronic device, characterized in that include: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having executable instructions stored thereon, characterized in that When the instruction is executed by a processor, the processor implements the method according to any one of claims 1 to 8.

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