A method and system for dynamic monitoring and deviation correction of a sinking well construction

Abstract

The application discloses a kind of caisson construction dynamic monitoring and deviation correction linkage method, comprising: in caisson structure and peripheral environment preset multiple type monitoring point, real-time acquisition monitoring data;Based on real-time monitoring data, when caisson inclination, axis displacement, daily sinking volume any one parameter reaches design allowed threshold value, deviation correction start signal is automatically triggered;According to deviation cause, deviation actual value and design allowed threshold value, corresponding deviation correction measure combination is matched;Deviation correction measure implementation process continuously acquires monitoring data, real-time verifies deviation correction effect, until caisson posture recovers to within allowed deviation range;Until caisson elevation, inclination, axis displacement simultaneously satisfy design requirement, stop deviation correction, enter bottom sealing procedure.The application also discloses a kind of caisson construction dynamic monitoring and deviation correction linkage system.The application is by real-time monitoring caisson posture, structure stress, peripheral stratum deformation, combined with symmetrical excavation, local counterweight deviation correction, realizes sinking precision dynamic regulation and control.

Description

Technical Field

[0001] This invention relates to a method and system for dynamic monitoring and correction during caisson construction. Background Technology

[0002] Caissons, as a core technology in deep foundation construction, are widely used in the construction of bridge piers, underground pump rooms, and rail transit stations. Currently, caisson construction deviation correction generally adopts the traditional model of "manual monitoring - experience-based judgment - post-incident handling": First, monitoring relies on periodic manual measurements, which are infrequent and prone to errors, only monitoring apparent parameters such as elevation and tilt, failing to capture subtle changes in posture in real time, and easily missing the optimal correction opportunity; second, correction decisions rely entirely on the experience of construction personnel, lacking a standardized deviation-response matching mechanism, easily leading to insufficient or excessive correction; third, the correction process lacks dynamic feedback, making it impossible to adjust measure parameters based on real-time monitoring data, easily triggering secondary risks under complex geological conditions; fourth, insufficient control precision in the final settling stage easily leads to over-settlement or insufficient stability, affecting the subsequent bottom sealing quality.

[0003] With the increasing application of caissons in complex scenarios, traditional processes can no longer meet the requirements of high precision and high safety in construction. Therefore, there is an urgent need for a caisson construction technology that can achieve dynamic monitoring, intelligent diagnosis, targeted correction, and closed-loop control to solve the problems of monitoring lag, subjective decision-making, low correction accuracy, and weak risk management capabilities in existing technologies. Summary of the Invention

[0004] To address the aforementioned problems in the existing technology, this invention provides a method and system for dynamic monitoring and correction during caisson construction. By real-time monitoring of the caisson's attitude, structural stress, and surrounding strata deformation, combined with symmetrical excavation and local counterweight correction, dynamic control of sinking accuracy can be achieved.

[0005] The technical solution to achieve the above objectives is: One of the present inventions provides a method for dynamic monitoring and correction linkage during caisson construction, comprising: Step S1: Set up multiple types of monitoring points in the caisson structure and surrounding environment to collect three core parameters in real time: caisson attitude, structural stress, and surrounding stratum deformation. Step S2: Based on real-time monitoring data, when any one of the parameters of caisson inclination, axial displacement, or daily sinking reaches the design allowable threshold, a correction start signal is automatically triggered. At the same time, the changes in geological parameters, construction parameters, and monitoring data are correlated and analyzed to identify the causes of deviations. Step S3: Match the corresponding combination of corrective measures based on the cause of the deviation, the actual value of the deviation, and the design allowable threshold. Step S4: During the implementation of the correction measures, monitoring data is continuously collected and the correction effect is verified in real time. When the deviation value falls back to the safe threshold range, the correction intensity is adjusted. When the deviation value continues to expand, the correction measures are automatically upgraded until the caisson attitude is restored to the allowable deviation range. Step S5: When the caisson sinks to a distance of ≥2m from the design elevation, reduce the excavation rate and the amplitude of the correction action, and increase the monitoring frequency until the caisson elevation, inclination, and axial displacement simultaneously meet the design requirements. Then stop the correction and proceed to the bottom sealing process.

[0006] Preferably, in step S1, multiple types of monitoring points are preset in the caisson structure and its surrounding environment, including: Inclination sensors, displacement sensors, and vibrating wire strain gauges are deployed in layers at the top, middle, and cutting edge of the caisson to form a spatial monitoring grid; Soil displacement gauges, earth pressure gauges, and groundwater level monitoring points are installed within a range of ≥3 times the well depth around the caisson.

[0007] Preferably, in step S1, the monitoring frequency of the monitoring point is dynamically adjusted according to the sinking depth. When the sinking depth is less than 10m, the monitoring frequency is ≥1 time / 2h; when the sinking depth is greater than 10m, the monitoring frequency is ≥1 time / 1h; and when an early warning is triggered, the monitoring frequency is increased to ≥1 time / 10min.

[0008] Preferably, in step S2, the causes of deviation include at least asymmetrical excavation, uneven soil layers, excessive unilateral friction, and local obstruction by isolated boulders.

[0009] Preferably, in step S3, the correction measures include at least asymmetrical excavation, top eccentric ballast, cutting edge support, directional water jetting outside the well, air curtain to aid sinking, and vibration to aid sinking. in, Slight deviation of 70% of the allowable threshold: asymmetric excavation is used for correction; For moderate deviations exceeding 90% of the allowable threshold, a combination of asymmetrical excavation and top eccentric weighting is used for correction. For severe deviations where the deviation value reaches the design allowable threshold: a combination of top eccentric counterweight, local support of the cutting edge, and directional water jetting outside the well is used to correct the deviation; Sluggishness deviation: A combination of air curtain-assisted sinking and vibration-assisted sinking is used to correct the deviation.

[0010] Preferably, in step S4, when the single-round correction efficiency is lower than a preset threshold, the correction measure parameters are automatically adjusted or the correction combination scheme is switched. At the same time, the deviation type, cause, correction measure, and correction efficiency data are recorded, the deviation-measure matching database is updated, and the correction strategy for subsequent similar scenarios is optimized.

[0011] Preferably, in step S5, the requirements for meeting the bottom sealing process are as follows: When the caisson sinks to 10cm from the design bottom elevation, it will slowly sink under its own weight. After 2-3 days of settling and stabilization, or when the settling rate is continuously monitored to be ≤10mm / 8h after final settling, it is considered stable and the bottom sealing operation can be carried out.

[0012] A second invention provides a dynamic monitoring and correction linkage system for caisson construction, comprising: The data monitoring module consists of a multi-source sensor array composed of tilt sensors, displacement sensors, strain gauges, earth pressure gauges, and groundwater level monitoring points. It is used to collect monitoring data in real time, which consists of three core parameters: caisson attitude, structural stress, and deformation of the surrounding strata. The data transmission module is used to monitor the real-time return of data. The intelligent decision-making module has a built-in deviation identification algorithm, cause diagnosis rules, and adaptive correction parameter matching library. It is used to run the deviation identification algorithm to determine whether the caisson has a posture deviation, and call the cause diagnosis rules to automatically analyze the root cause of the deviation. It also retrieves the corresponding correction strategy from the adaptive correction parameter matching library and generates an executable correction command. The execution control module is used to control the operating parameters of various correction devices on site according to the correction instructions, so as to achieve the accurate implementation of correction measures; The visualization module is an interactive terminal that integrates the BIM model. It is used to map monitoring data, deviation status, and correction progress information into the BIM 3D model and display them intuitively in a graphical way.

[0013] Preferably, in the execution control module, the operating parameters of various correction devices on site are controlled according to the correction command, including but not limited to adjusting the excavation depth and position of the excavating equipment, controlling the loading amount and arrangement position of the counterweight device, adjusting the pressure and water outlet direction of the water jetting system, and setting the air pressure parameters of the air curtain system.

[0014] Compared with the prior art, the beneficial effects of the present invention are: This invention automates monitoring, replacing traditional manual measurement. Monitoring data is automatically uploaded to the intelligent decision-making module, reducing manual recording and analysis time. This invention uses multi-source sensors to monitor the caisson's attitude, structural stress, and surrounding strata deformation in real time. When parameters such as tilt and axial displacement reach 70% of the allowable threshold, an early warning is triggered to identify potential risks in advance and avoid major safety accidents such as caisson overturning and well shaft cracking. This invention enables simultaneous monitoring and correction during the sinking of the caisson, eliminating the need to suspend construction and avoiding delays caused by corrections. It also shortens the construction cycle and, through real-time monitoring and timely correction, avoids rework due to excessive caisson deviation, reducing material waste and labor costs. This invention, based on big data analytics, establishes a matching database of deviation causes and corrective measures to achieve intelligent recommendation of corrective strategies. By recording deviation types, causes, corrective measures, and corrective efficiency data, it continuously optimizes the deviation-measure matching model to improve the effectiveness and efficiency of corrective measures. At the same time, it integrates an interactive terminal for BIM models to intuitively display monitoring data, deviation status, and corrective progress in the 3D model, facilitating managers to monitor the construction status in real time and make scientific decisions. Attached Figure Description

[0015] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of a dynamic monitoring and correction linkage method for caisson construction according to the present invention; Figure 2 This is a flowchart of a dynamic monitoring and correction linkage system for caisson construction according to the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] like Figure 1 As shown, a method for dynamic monitoring and correction during caisson construction includes: Step S1: Set up multiple monitoring points in the caisson structure and surrounding environment to collect three core parameters in real time: caisson attitude, structural stress, and deformation of the surrounding strata.

[0018] In this embodiment, multiple types of monitoring points are pre-set in the caisson structure and its surrounding environment, including: Inclination sensors, displacement sensors, and vibrating wire strain gauges are deployed in layers at the top, middle, and cutting edge of the caisson to form a spatial monitoring grid; among them... The tilt sensor, displacement sensor, and vibrating wire strain gauge at the top are used to collect the overall tilt angle and tilt direction of the caisson, the displacement of the top plane and the axial offset, and the tensile / compressive stress of the concrete at the top of the caisson wall, respectively. The tilt sensor, displacement sensor, and vibrating wire strain gauge in the middle section are used to collect local tilt deformation in the middle section of the caisson, lateral displacement in the middle of the caisson, and stress distribution in the middle of the caisson wall structure, respectively. The tilt sensor, displacement sensor, and vibrating wire strain gauge at the cutting edge position are used to collect the attitude angle of the cutting edge end, the amount of cutting edge subsidence and uneven settlement, and the stress concentration data at the cutting edge tip, respectively. Soil displacement gauges, earth pressure gauges, and groundwater level monitoring points were installed within a radius of ≥3 times the well depth around the caisson. Soil displacement gauges are used to collect surface settlement and horizontal displacement, and to monitor the deformation of the surrounding soil caused by caisson construction. Earth pressure gauges are used to collect lateral and vertical pressures on soil and monitor stress changes in the soil around the caisson. Groundwater level monitoring points are used to collect data on groundwater depth and changes in groundwater level, and to monitor groundwater fluctuations caused by construction.

[0019] In this embodiment, the monitoring frequency of the monitoring point is dynamically adjusted according to the sinking depth. When the sinking depth is less than 10m, the monitoring frequency is ≥1 time / 2h. When the sinking depth is greater than 10m, the monitoring frequency is ≥1 time / 1h. When an early warning is triggered, the monitoring frequency is increased to ≥1 time / 10min.

[0020] Step S2: Based on real-time monitoring data, when any one of the parameters of caisson inclination, axial displacement, or daily subsidence reaches the design allowable threshold, a correction start signal is automatically triggered. At the same time, the changes in geological parameters, construction parameters, and monitoring data are correlated and analyzed to identify the causes of deviations.

[0021] In the embodiments, the causes of deviation include at least asymmetrical excavation, uneven soil layers, excessive unilateral friction, and local obstruction by isolated boulders.

[0022] Step S3: Match the corresponding combination of corrective measures based on the cause of the deviation, the actual value of the deviation and the design allowable threshold.

[0023] In the embodiments, the correction measures include at least asymmetrical excavation, top eccentric ballast, cutting edge support, directional water jetting outside the well, air curtain to aid sinking, and vibration to aid sinking; in, Slight deviation of 70% of the allowable threshold: asymmetric excavation is used for correction; For moderate deviations exceeding 90% of the allowable threshold, a combination of asymmetrical excavation and top eccentric weighting is used for correction. For severe deviations where the deviation value reaches the design allowable threshold: a combination of top eccentric counterweight, local support of the cutting edge, and directional water jetting outside the well is used to correct the deviation; Sluggishness deviation: A combination of air curtain-assisted sinking and vibration-assisted sinking is used to correct the deviation.

[0024] Step S4: During the implementation of the correction measures, monitoring data is continuously collected to verify the correction effect in real time. When the deviation value falls back to the safe threshold range, the correction intensity is adjusted. When the deviation value continues to expand, the correction measures are automatically upgraded until the caisson attitude is restored to the allowable deviation range.

[0025] In this embodiment, when the single-round correction efficiency is lower than a preset threshold, the correction measure parameters are automatically adjusted or the correction combination scheme is switched. At the same time, the deviation type, cause, correction measure, and correction efficiency data are recorded, the deviation-measure matching database is updated, and the correction strategy for subsequent similar scenarios is optimized.

[0026] Step S5: When the caisson sinks to a distance of ≥2m from the design elevation, reduce the excavation rate and the amplitude of the correction action, and increase the monitoring frequency until the caisson elevation, inclination, and axial displacement simultaneously meet the design requirements. Then stop the correction and proceed to the bottom sealing process.

[0027] In this embodiment, the requirements for meeting the bottom sealing process are as follows: When the caisson sinks to 10cm from the design bottom elevation, it will slowly sink under its own weight. After 2-3 days of settling and stabilization, or when the settling rate is continuously monitored to be ≤10mm / 8h after final settling, it is considered stable and the bottom sealing operation can be carried out.

[0028] like Figure 2 As shown, a dynamic monitoring and correction linkage system for caisson construction includes: a data monitoring module 1, a data transmission module 2, an intelligent decision-making module 3, an execution control module 4, and a visualization display module 5.

[0029] Data monitoring module 1 consists of a multi-source sensor array composed of tilt sensors, displacement sensors, strain gauges, earth pressure gauges, and groundwater level monitoring points. It is used to collect monitoring data in real time, which consists of three core parameters: caisson attitude, structural stress, and deformation of the surrounding strata.

[0030] The data transmission module 2 is used for real-time feedback of monitoring data. It uses wireless transmission technology to transmit all collected data back to the intelligent decision-making module 3 in real time and stably, avoiding the wiring limitations of wired transmission, ensuring that the data is not delayed or lost, and ensuring that the decision-making end can obtain the latest field data.

[0031] The intelligent decision-making module 3 has a built-in deviation identification algorithm, cause diagnosis rules, and adaptive correction parameter matching library. It is used to run the deviation identification algorithm to determine whether the caisson has a deviation in attitude, call the cause diagnosis rules to automatically analyze the root cause of the deviation, retrieve the corresponding correction strategy from the adaptive correction parameter matching library, and generate an executable correction instruction.

[0032] The execution control module 4 is used to control the operating parameters of various correction devices on site according to the correction instructions, so as to achieve the accurate implementation of correction measures.

[0033] In this embodiment, the operating parameters of various correction devices on site are controlled according to the correction command, including but not limited to adjusting the excavation depth and position of the excavating equipment, controlling the loading amount and arrangement position of the ballast device, adjusting the pressure and water outlet direction of the water jetting system, and setting the air pressure parameters of the air curtain system.

[0034] The visualization module 5 is an interactive terminal that integrates the BIM model. It is used to map monitoring data, deviation status, and correction progress information into the BIM 3D model and display them intuitively in a graphical way, so that on-site personnel can quickly grasp the construction status and assist in manual review and decision-making.

[0035] Finally, it should be noted that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for dynamic monitoring and correction linkage during caisson construction, characterized in that, include: Step S1: Set up multiple types of monitoring points in the caisson structure and surrounding environment to collect three core parameters in real time: caisson attitude, structural stress, and surrounding stratum deformation. Step S2: Based on real-time monitoring data, when any one of the parameters of caisson inclination, axial displacement, or daily sinking reaches the design allowable threshold, a correction start signal is automatically triggered. At the same time, the changes in geological parameters, construction parameters, and monitoring data are correlated and analyzed to identify the causes of deviations. Step S3: Match the corresponding combination of corrective measures based on the cause of the deviation, the actual value of the deviation, and the design allowable threshold. Step S4: During the implementation of the correction measures, monitoring data is continuously collected and the correction effect is verified in real time. When the deviation value falls back to the safe threshold range, the correction intensity is adjusted. When the deviation value continues to expand, the correction measures are automatically upgraded until the caisson attitude is restored to the allowable deviation range. Step S5: When the caisson sinks to a distance of ≥2m from the design elevation, reduce the excavation rate and the amplitude of the correction action, and increase the monitoring frequency until the caisson elevation, inclination, and axial displacement simultaneously meet the design requirements. Then stop the correction and proceed to the bottom sealing process.

2. The method for dynamic monitoring and correction linkage during caisson construction according to claim 1, characterized in that, In step S1, multiple types of monitoring points are preset in the caisson structure and its surrounding environment, including: Inclination sensors, displacement sensors, and vibrating wire strain gauges are deployed in layers at the top, middle, and cutting edge of the caisson to form a spatial monitoring grid; Soil displacement gauges, earth pressure gauges, and groundwater level monitoring points are installed within a range of ≥3 times the well depth around the caisson.

3. The method for dynamic monitoring and correction linkage during caisson construction according to claim 2, characterized in that, In step S1, the monitoring frequency of the monitoring point is dynamically adjusted with the sinking depth. When the sinking depth is less than 10m, the monitoring frequency is ≥1 time / 2h. When the sinking depth is greater than 10m, the monitoring frequency is ≥1 time / 1h. When an early warning is triggered, the monitoring frequency is increased to ≥1 time / 10min.

4. The method for dynamic monitoring and correction linkage during caisson construction according to claim 1, characterized in that, In step S2, the causes of deviation include at least asymmetrical excavation, uneven soil layers, excessive unilateral friction, and local isolated boulders obstructing the path.

5. The method for dynamic monitoring and correction linkage during caisson construction according to claim 1, characterized in that, In step S3, the correction measures include at least asymmetrical excavation, top eccentric ballast, cutting edge support, directional water jetting outside the well, air curtain sinking aid, and vibration sinking aid. in, Slight deviation of 70% of the allowable threshold: asymmetric excavation is used for correction; For moderate deviations exceeding 90% of the allowable threshold, a combination of asymmetrical excavation and top eccentric weighting is used for correction. For severe deviations where the deviation value reaches the design allowable threshold: a combination of top eccentric counterweight, local support of the cutting edge, and directional water jetting outside the well is used to correct the deviation; Sluggishness deviation: A combination of air curtain-assisted sinking and vibration-assisted sinking is used to correct the deviation.

6. The method for dynamic monitoring and correction linkage during caisson construction according to claim 1, characterized in that, In step S4, when the single-round correction efficiency is lower than the preset threshold, the correction measure parameters are automatically adjusted or the correction combination scheme is switched. At the same time, the deviation type, cause, correction measure, and correction efficiency data are recorded, the deviation-measure matching database is updated, and the correction strategy for subsequent similar scenarios is optimized.

7. The method for dynamic monitoring and correction linkage during caisson construction according to claim 1, characterized in that, In step S5, the requirements for the bottom sealing process are as follows: When the caisson sinks to 10cm from the design bottom elevation, it will slowly sink under its own weight. After 2-3 days of settling and stabilization, or when the settling rate is continuously monitored to be ≤10mm / 8h after final settling, it is considered stable and the bottom sealing operation can be carried out.

8. A dynamic monitoring and correction linkage system for caisson construction based on the method described in claims 1-7, characterized in that, include: The data monitoring module consists of a multi-source sensor array composed of tilt sensors, displacement sensors, strain gauges, earth pressure gauges, and groundwater level monitoring points. It is used to collect monitoring data in real time, which consists of three core parameters: caisson attitude, structural stress, and deformation of the surrounding strata. The data transmission module is used to monitor the real-time return of data. The intelligent decision-making module has a built-in deviation identification algorithm, cause diagnosis rules, and adaptive correction parameter matching library. It is used to run the deviation identification algorithm to determine whether the caisson has a posture deviation, and call the cause diagnosis rules to automatically analyze the root cause of the deviation. It also retrieves the corresponding correction strategy from the adaptive correction parameter matching library and generates an executable correction command. The execution control module is used to control the operating parameters of various correction devices on site according to the correction instructions, so as to achieve the accurate implementation of correction measures; The visualization module is an interactive terminal that integrates the BIM model. It is used to map monitoring data, deviation status, and correction progress information into the BIM 3D model and display them intuitively in a graphical way.

9. The caisson construction dynamic monitoring and correction linkage system according to claim 8, characterized in that, The execution control module controls the operating parameters of various correction devices on site according to the correction instructions, including but not limited to adjusting the excavation depth and position of the excavating equipment, controlling the loading amount and arrangement position of the ballast device, adjusting the pressure and water outlet direction of the water jetting system, and setting the air pressure parameters of the air curtain system.

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