Pile casing driving depth real-time intelligent judgment system capable of avoiding slurry leakage of pebble bed

Abstract

The invention belongs to the technical field of bridge pile foundation construction, and particularly relates to a pile casing driving depth real-time intelligent judgment system capable of avoiding pebble bed slurry leakage, which comprises a data acquisition layer, and the data acquisition layer is electrically connected with a data transmission layer through a cable. According to the pile casing driving depth real-time intelligent judgment system capable of avoiding slurry leakage of the pebble bed, by arranging the data acquisition layer, the data transmission layer, the data processing and analysis layer, the decision support and early warning layer and the man-machine interaction layer, the proper driving depth of a pile casing is judged in real time in the driving process of a pile foundation steel pile casing of an ultra-thick pebble bed, and the driving depth of the pile casing is accurately judged. And timely judgment and response are made. According to the method, the slurry leakage condition is monitored in real time, the stability of the pile casing is evaluated, and the construction strategy is adjusted according to real-time data, so that the effect of avoiding or reducing slurry leakage events is achieved, and the existing problem that in order to ensure the pile foundation hole forming quality, the internal water pressure, the slurry flow and the driving depth of the steel pile casing need to be monitored in the driving process is solved.

Description

Technical Field

[0001] The invention relates to the technical field of bridge pile foundation construction, and in particular to a real-time intelligent judgment system for casing installation depth for preventing grout leakage from a pebble layer. Background Art

[0002] During the pile foundation construction process, when the pile foundation encounters a thick and dense pebble layer in the riverbed, the pile foundation drilling process is prone to mud loss due to the poor stability of the medium-dense pebble layer soil and easy hole collapse, and the poor anti-seepage ability of the medium-dense pebble layer. In order to ensure the quality of the pile foundation hole, the steel casing needs to be driven to the junction of the pebble layer and the gravel layer.

[0003] During the driving process of steel casing for pile foundation in ultra-thick pebble layer, since a deeper driving depth is required, in order to ensure the quality of pile foundation hole formation, it is necessary to monitor the internal water pressure, mud flow and driving depth of the steel casing during the driving process. However, the existing technology cannot effectively monitor the internal water pressure, mud flow and driving depth of the steel casing. Therefore, a real-time intelligent judgment system for the casing driving depth is needed to avoid leakage of slurry in the pebble layer. Summary of the invention

[0004] Based on the existing technical problem of monitoring the internal water pressure, mud flow and driving depth of the steel casing during the driving process in order to ensure the quality of pile foundation drilling, the present invention proposes a real-time intelligent judgment system for the casing driving depth to avoid leakage of mud in the pebble layer.

[0005] The present invention proposes a real-time intelligent judgment system for casing installation depth to avoid leakage of slurry in a pebble layer, comprising a data acquisition layer, the data acquisition layer is electrically connected to a data transmission layer through a cable, the data transmission layer is communicatively connected to a data processing and analysis layer, the data processing and analysis layer is communicatively connected to a decision support and early warning layer, and the decision support and early warning layer is communicatively connected to a human-machine interaction layer;

[0006] The data acquisition layer includes a data acquisition mechanism, which is used to collect data information on the mud pressure inside the casing and the casing driving depth, as well as the mud flow rate entering the casing and the mud flow rate flowing out of the casing;

[0007] The data transmission layer uses a wireless communication module to communicate with the data processing and analysis layer;

[0008] The data processing and analysis layer includes servers for performing data computing and storing large amounts of data, network devices for communicating with the data transmission layer and the decision support and early warning layer, a database management system for efficiently managing structured data and providing support for query, update and management of data, and a data analysis platform for providing data analysis, mining and visualization;

[0009] The decision support and early warning layer includes an intelligent decision module, which is used to receive processed data from the data processing and analysis layer, run a decision algorithm based on the data, and pass the decision results to the human-computer interaction layer as an executive body;

[0010] The human-computer interaction layer includes an intelligent mobile terminal, which provides a user interface for construction personnel to facilitate operators to monitor real-time data, warning information and intelligent decision-making suggestions of the system.

[0011] Preferably, the data acquisition mechanism comprises a T0 segment steel casing, the top of which is fixedly connected with a connecting steel casing, and a plurality of connecting steel casings are all located above the T0 segment steel casing;

[0012] A floating platform with a circular surface is slidably sleeved on the surface of one of the connecting steel casings, a mud return collection groove with a circular surface is arranged on the upper surface of the floating platform, a sleeve hole is opened on the inner bottom wall of the mud return collection groove, a rubber sealing ring is fixedly connected to the inner wall of the sleeve hole, and the inner wall of the rubber sealing ring is slidably connected to the surface of the connecting steel casing.

[0013] Preferably, a monitoring platform is fixedly connected to the surface of the mud reflux collection tank, a monitoring equipment control box is fixedly installed on the upper surface of the monitoring platform, a controller for monitoring and control is arranged inside the monitoring equipment control box, and the data transmission layer is arranged inside the monitoring equipment control box.

[0014] Preferably, the controller is electrically connected to the data transmission layer through a cable, and a high-pressure air pump electrically connected to the controller through a cable is fixedly installed on the upper surface of the monitoring equipment control box, and the output end of the high-pressure air pump is fixedly connected to an inflation tube, and one end of the inflation tube is fixedly connected to an air pressure monitoring box through an electromagnetic valve, and a pressure sensor for detecting the air pressure inside the air pressure monitoring box is fixedly installed inside the air pressure monitoring box, and the pressure sensor and the electromagnetic valve are both electrically connected to the controller through cables.

[0015] Preferably, the inner wall of the air pressure monitoring box is fixedly connected with a data detection hose, one end of the data detection hose is fixedly connected with a pressure monitoring airbag ring whose surface is adapted to the inner wall of the T0 segment steel casing, the surface of the pressure monitoring airbag ring is sleeved with a protective mesh cover, and the surface of the protective mesh cover is fixedly connected with the inner wall of the T0 segment steel casing;

[0016] The data detection hose is a metal hose with a rectangular surface, and a synchronous toothed belt is fixedly connected to a surface of one side of the data detection hose.

[0017] Preferably, a fixed support frame is fixedly connected to the upper surface of the monitoring device control box, and a support frame having a Y-shaped surface is fixedly connected to the upper surface of the fixed support frame;

[0018] The inner wall of the support frame is rotatably connected with a tensioning synchronous pulley and a detection synchronous pulley through bearings, and the surface of the synchronous toothed belt is respectively meshed with the surfaces of the tensioning synchronous pulley and the detection synchronous pulley. A reduction drive motor and a rotary encoder are fixedly installed on one side surface of the support frame, and the output end of the reduction drive motor is fixedly connected to the axle of the tensioning synchronous pulley, and the detection end of the rotary encoder is fixedly connected to the axle of the detection synchronous pulley.

[0019] Preferably, the reduction drive motor and the rotary encoder are both electrically connected to the controller via cables;

[0020] A travel groove is provided on the surface of the support frame, and a detection wheel seat is slidably connected to the inner wall of the travel groove. A tension detection wheel is rotatably connected to the surface of the detection wheel seat through a bearing. The tension detection wheel, the tensioning synchronous pulley and the detection synchronous pulley are distributed in a herringbone shape.

[0021] Preferably, the surface of the tension detection wheel is slidably connected to the surface of the data detection hose;

[0022] A detection rod with a T-shaped surface is fixedly connected to the lower surface of the detection wheel seat, and one end of the detection rod passes through the support frame and extends to the inner wall of the fixed support frame.

[0023] Preferably, a pressure spring is sleeved on the surface of the detection rod, and two ends of the pressure spring are respectively fixedly connected to one end of the detection rod and the lower surface of the support frame;

[0024] A limit switch is fixedly mounted on the inner bottom wall of the support frame, and the limit switch is electrically connected to the controller via a cable.

[0025] Preferably, the surface of the mud return collection tank is fixedly connected with a mud return pipe, and the surface of the mud return pipe is fixedly installed with a flow sensor.

[0026] The beneficial effects of the present invention are:

[0027] 1. By setting up data acquisition layer, data transmission layer, data processing and analysis layer, decision support and early warning layer and human-computer interaction layer, during the installation of steel casing in ultra-thick pebble layer pile foundation, the mud water pressure, installation depth and mud outflow rate inside the steel casing are collected through the data acquisition layer, and the collected data are transmitted to the data processing and analysis layer through the data transmission layer. The collected data are pre-processed through the data processing and analysis layer to remove noise and outliers, and converted and normalized. Then, statistical analysis and machine learning algorithms are used to establish a data analysis model to predict and evaluate the leakage quality. Then, through the decision and early warning layer, based on the data analysis results, the system sends early warning information to the construction personnel, and provides suggestions for optimizing the construction process and adjusting the construction parameters, so as to realize real-time judgment of the appropriate depth of casing installation and make timely judgment and response. Real-time monitoring of slurry leakage, evaluation of casing stability, and adjustment of construction strategies based on real-time data can avoid or reduce the occurrence of slurry leakage, thereby solving the existing problem of monitoring the internal water pressure, slurry flow and driving depth of the steel casing during the driving process in order to ensure the quality of pile foundation drilling.

[0028] 2. By setting up a data acquisition mechanism, during the pile foundation construction process, the mud water pressure inside the steel casing is monitored in real time through the pressure monitoring airbag ring, data detection hose, air pressure monitoring box and pressure sensor, and the feedback is fed back to the system. The length of the data detection hose entering the steel casing is measured by a rotary encoder to achieve real-time monitoring of the steel casing driving depth and feedback to the system. Finally, the incoming mud flow and outgoing mud flow are combined with the internal volume of the steel casing to monitor the mud inflow and outflow, thereby achieving the effect of real-time monitoring of the steel casing driving depth and mud leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of a real-time intelligent judgment system for casing installation depth to avoid leakage of grout in a pebble layer proposed by the present invention;

[0030] Figure 2 A three-dimensional diagram of the floating platform structure of a real-time intelligent judgment system for casing installation depth to avoid leakage of grout in the pebble layer proposed by the present invention;

[0031] Figure 3 A three-dimensional diagram of the structure of the connected steel casing for the real-time intelligent judgment system of casing installation depth for preventing leakage of grout in the pebble layer proposed by the present invention;

[0032] Figure 4 A three-dimensional diagram of the T0 segment steel casing structure of a real-time intelligent judgment system for casing installation depth to avoid leakage of grout in the pebble layer proposed by the present invention;

[0033] Figure 5A three-dimensional diagram of the monitoring platform structure of a real-time intelligent judgment system for casing installation depth to avoid leakage of grout in a pebble layer proposed by the present invention;

[0034] Figure 6 A three-dimensional diagram of the support frame structure of a real-time intelligent judgment system for casing installation depth to avoid leakage of grout in a pebble layer proposed by the present invention;

[0035] Figure 7 A three-dimensional diagram of a fixed support frame structure of a real-time intelligent judgment system for casing installation depth to prevent grout leakage in a pebble layer proposed by the present invention;

[0036] Figure 8 A front view of the detection wheel seat structure of a real-time intelligent judgment system for casing installation depth to avoid grout leakage in a pebble layer proposed by the present invention;

[0037] Fig. 9 A three-dimensional diagram of the data detection hose structure of a real-time intelligent judgment system for casing installation depth to avoid leakage in pebble layers proposed by the present invention.

[0038] In the figure: 1. Data acquisition layer; 101. T0 segment steel casing; 102. Connecting steel casing; 103. Floating platform; 104. Mud return collection tank; 105. Rubber sealing ring; 106. Monitoring platform; 107. Monitoring equipment control box; 108. High-pressure air pump; 109. Inflatable pipe; 110. Air pressure monitoring box; 111. Pressure sensor; 112. Data detection hose; 113. Pressure monitoring airbag ring; 114. Protective net cover; 115. Fixed support frame ; 116. Support frame; 117. Tensioning synchronous pulley; 118. Detection synchronous pulley; 119. Reduction drive motor; 120. Rotary encoder; 121. Travel groove; 122. Detection wheel seat; 123. Tension detection wheel; 124. Detection pull rod; 125. Pressure spring; 126. Limit switch; 127. Mud return pipe; 128. Flow sensor; 2. Data transmission layer; 3. Data processing and analysis layer; 4. Decision support and early warning layer; 5. Human-computer interaction layer. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0040] Reference Figure 1-Figure 9A real-time intelligent judgment system for casing installation depth to avoid leakage of slurry in pebble layers includes a data acquisition layer 1, the data acquisition layer 1 is electrically connected to a data transmission layer 2 through a cable, the data transmission layer 2 is communicatively connected to a data processing and analysis layer 3, the data processing and analysis layer 3 is communicatively connected to a decision support and early warning layer 4, and the decision support and early warning layer 4 is communicatively connected to a human-computer interaction layer 5.

[0041] Furthermore, the data collection layer 1 includes a data collection mechanism, which is used to collect data information on the mud pressure inside the casing and the casing driving depth, as well as the mud flow rate entering the casing and the mud flow rate flowing out of the casing.

[0042] The data acquisition mechanism includes a T0 segment steel casing 101 , the top of which is fixedly connected with a connecting steel casing 102 , and a plurality of connecting steel casings 102 are all located above the T0 segment steel casing 101 .

[0043] A floating platform 103 with a circular surface is slidably sleeved on the surface of one of the connected steel casings 102. A mud return collection trough 104 with a circular surface is arranged on the upper surface of the floating platform 103. A sleeve hole is opened on the inner bottom wall of the mud return collection trough 104. A rubber sealing ring 105 is fixedly connected to the inner wall of the sleeve hole. The inner wall of the rubber sealing ring 105 is slidably connected to the surface of the connected steel casing 102.

[0044] When in use, the mud poured into the steel casing is refluxed and collected through the mud reflux collection tank 104 .

[0045] A monitoring platform 106 is fixedly connected to the surface of the mud return collection tank 104 , a monitoring device control box 107 is fixedly installed on the upper surface of the monitoring platform 106 , a controller for monitoring and control is arranged inside the monitoring device control box 107 , and a data transmission layer 2 is arranged inside the monitoring device control box 107 .

[0046] The controller is electrically connected to the data transmission layer 2 through a cable. A high-pressure air pump 108 electrically connected to the controller through a cable is fixedly installed on the upper surface of the monitoring equipment control box 107. The output end of the high-pressure air pump 108 is fixedly connected to an inflation tube 109. One end of the inflation tube 109 is fixedly connected to an air pressure monitoring box 110 through an electromagnetic valve. A pressure sensor 111 for detecting the internal air pressure of the air pressure monitoring box 110 is fixedly installed inside the air pressure monitoring box 110. The pressure sensor 111 and the electromagnetic valve are both electrically connected to the controller through cables.

[0047] Furthermore, when in use, the connection and disconnection between the inflation tube 109 and the air pressure monitoring box 110 is controlled by the solenoid valve, and the air pressure inside the air pressure monitoring box 110 is monitored by the pressure sensor 111 .

[0048] The inner wall of the air pressure monitoring box 110 is fixedly connected to a data detection hose 112, one end of the data detection hose 112 is fixedly connected to a pressure monitoring airbag ring 113 whose surface is adapted to the inner wall of the T0 segment steel casing 101, and the surface of the pressure monitoring airbag ring 113 is sleeved with a protective mesh cover 114, and the surface of the protective mesh cover 114 is fixedly connected to the inner wall of the T0 segment steel casing 101.

[0049] When in use, the pressure monitoring airbag ring 113 is protected by the protective mesh cover 114, and at the same time, the mud inside the steel casing can enter the protective mesh cover 114, contact the pressure monitoring airbag ring 113, and cause pressure on the pressure monitoring airbag ring 113. After the pressure monitoring airbag ring 113 is subjected to the mud pressure, the air pressure is transmitted to the air pressure monitoring box 110 through the data detection hose 112, and the internal pressure of the air pressure monitoring box 110 is detected by the pressure sensor 111, thereby achieving the effect of detecting and monitoring the mud pressure inside the steel casing.

[0050] The data detection hose 112 is a metal hose with a rectangular surface, and a synchronous toothed belt is fixedly connected to one side surface of the data detection hose 112 .

[0051] Furthermore, in order to achieve better air pressure detection, when in use, the data detection hose 112 is used in combination of a rectangular metal hose and a silicone hose. Specifically, the silicone hose is arranged inside the metal hose, connected to the pressure monitoring airbag ring 113 through the silicone hose, and the metal hose is fixedly connected to the protective mesh cover 114, thereby ensuring sealing through the silicone hose and achieving protection and detection effects through the metal hose.

[0052] A fixed support frame 115 is fixedly connected to the upper surface of the monitoring device control box 107 , and a support frame 116 having a Y-shaped surface is fixedly connected to the upper surface of the fixed support frame 115 .

[0053] The inner wall of the support frame 116 is rotatably connected to the tensioning synchronous pulley 117 and the detection synchronous pulley 118 through bearings, and the surfaces of the synchronous toothed belts are respectively meshed with the surfaces of the tensioning synchronous pulley 117 and the detection synchronous pulley 118. A reduction drive motor 119 and a rotary encoder 120 are fixedly installed on the surface of one side of the support frame 116. The output end of the reduction drive motor 119 is fixedly connected to the axle of the tensioning synchronous pulley 117, and the detection end of the rotary encoder 120 is fixedly connected to the axle of the detection synchronous pulley 118.

[0054] Furthermore, when in use, the tensioning synchronous pulley 117 is driven by the reduction drive motor 119 to rotate forward and reversely, so as to tension the data detection hose 112 .

[0055] The reduction drive motor 119 and the rotary encoder 120 are both electrically connected to the controller via cables.

[0056] A travel groove 121 is provided on the surface of the support frame 116, and a detection wheel seat 122 is slidably connected to the inner wall of the travel groove 121. The surface of the detection wheel seat 122 is rotatably connected to a tension detection wheel 123 through a bearing. The tension detection wheel 123 and the tensioning synchronous pulley 117 and the detection synchronous pulley 118 are distributed in a herringbone shape.

[0057] The surface of the tension detection wheel 123 is slidably connected to the surface of the data detection hose 112 .

[0058] A T-shaped detection rod 124 is fixedly connected to the lower surface of the detection wheel seat 122 . One end of the detection rod 124 passes through the support frame 116 and extends to the inner wall of the fixed support frame 115 .

[0059] A pressure spring 125 is sleeved on the surface of the detection rod 124 , and two ends of the pressure spring 125 are fixedly connected to one end of the detection rod and the lower surface of the support frame 116 respectively.

[0060] A limit switch 126 is fixedly mounted on the inner bottom wall of the support frame 116 , and the limit switch 126 is electrically connected to the controller via a cable.

[0061] When in use, the data detection hose 112 cooperates with the tensioning synchronous pulley 117 and the detection synchronous pulley 118 to lift and tension the tension detection wheel 123 upward, so that the pressure spring 125 contracts and the detection wheel seat 122 is separated from the limit switch 126. When the data detection hose 112 is in a relaxed state, under the action of the pressure spring 125, the detection pull rod 124 moves downward, driving the detection wheel seat 122 to move downward. After the detection wheel seat 122 moves downward and contacts the limit switch 126, the limit switch 126 is closed. 26 sends an electrical signal to the controller, and the controller controls the deceleration drive motor 119 to work. The deceleration drive motor 119 drives the tensioning synchronous pulley 117 to rotate in the opposite direction, driving the synchronous toothed belt and the data detection hose 112 to move and tighten. During the movement and tightening process of the data detection hose 112, the detection wheel seat 122 and the tension detection wheel 123 are pulled upward to separate the detection wheel seat 122 from the limit switch 126. After the detection wheel seat 122 is separated from the limit switch 126, the controller controls the deceleration drive motor 119 to stop working.

[0062] Furthermore, a mud return pipe 127 is fixedly connected to the surface of the mud return collection tank 104 , and a flow sensor 128 is fixedly installed on the surface of the mud return pipe 127 .

[0063] In this embodiment, during the installation of the steel casing, the mud flow rate pumped into the steel casing is monitored, and then the mud flow rate flowing out is monitored through the flow sensor 128, and the data is transmitted to the data processing and analysis layer 3 for data processing and analysis, thereby achieving real-time monitoring of the amount of mud inside the steel casing during the installation of the steel casing, thereby calculating whether leakage occurs during the installation process.

[0064] By setting up a data acquisition mechanism, during the pile foundation construction process, the mud water pressure inside the steel casing is monitored in real time through the pressure monitoring airbag ring 113, the data detection hose 112, the air pressure monitoring box 110 and the pressure sensor 111, and the feedback is given to the system. The length of the data detection hose 112 entering the steel casing is controlled by the rotary encoder 120, so that the steel casing driving depth is monitored in real time and the feedback is given to the system. Finally, the mud inflow and outflow are monitored in combination with the internal volume of the steel casing, thereby achieving the effect of real-time monitoring of the steel casing driving depth and mud leakage.

[0065] Specifically, when in use, the length of the data detection hose 112 entering the steel casing is detected by the rotary encoder 120. During the installation of the steel casing, since the data detection hose 112 is kept vertical and has a certain tension to follow the installation of the steel casing, the length of the data detection hose 112 entering is the installation depth of the steel casing. As the installation depth of the steel casing increases, in the absence of slurry leakage, the air pressure inside the pressure monitoring airbag ring 113, the data detection hose 112 and the air pressure monitoring box 110 detected by the pressure sensor 111 will It grows steadily, and the calculation formula is: P = ρ·g·h, where P is pressure (Pascal, Pa), ρ is the density of mud, g is the acceleration of gravity, and h is depth. When leakage occurs, the mud level inside the steel casing will drop, resulting in a mismatch between the h depth and the driving depth of the steel casing, which will lead to abnormal pressure information. Combined with the pumped-in mud flow information and the outflowing mud flow information, the leakage flow can be known, and the driving depth and mud leakage amount of the steel casing in the ultra-thick pebble layer can be monitored in real time.

[0066] The data transmission layer 2 communicates with the data processing and analysis layer 3 using a wireless communication module.

[0067] The data processing and analysis layer 3 includes servers for performing data computing and storing large amounts of data, network equipment for communicating with the data transmission layer 2 and the decision support and early warning layer 4, a database management system for efficiently managing structured data and providing support for data query, update and management, and a data analysis platform for providing data analysis, mining and visualization.

[0068] Preferably, the network equipment adopts existing mature network communication equipment, such as switches, routers, 4G / 5G communication modules, etc., so as to ensure the smooth transmission and security of data in the system.

[0069] Preferably, the data analysis platform uses Huawei Cloud Big Data BI or Alibaba Cloud Big Data, which has the following features:

[0070] 1. Real-time performance and response speed. Both Huawei Cloud and Alibaba Cloud provide real-time data processing capabilities, which can ensure that the data collected from sensors can be quickly processed and responded to immediately, which is crucial to preventing grout leakage in the pebble layer. Real-time stream processing technologies, such as Huawei Cloud's DLI stream processing and Alibaba Cloud's Stream Compute, can ensure that data is processed and analyzed immediately after collection. 2. Large-scale data processing capabilities. Huawei Cloud Big Data BI or Alibaba Cloud Big Data both have powerful data processing capabilities and can easily handle the processing tasks of large amounts of sensor data. Distributed computing frameworks, such as Huawei Cloud's DLI and Alibaba Cloud's MaxCompute, can effectively support PB-level data processing, ensuring that the system can maintain stable operation even in the face of large-scale data. 3. High availability and fault tolerance. Cloud services usually have high availability and fault tolerance mechanisms to ensure that the system can still operate normally even if some components fail. Redundant storage and automatic recovery functions can ensure data security and continuous operation of the system. 4. Elastic expansion. Cloud services can dynamically adjust resources according to actual needs, which means that when the amount of data increases, the system can automatically expand to cope with higher loads. The automatic expansion and contraction characteristics can help optimize costs and ensure maximum resource utilization. 5. Data security and compliance. Cloud service providers usually provide strict data encryption and access control measures to ensure data security and privacy protection. Security certification and compliance support ensuring that data processing complies with industry standards and legal and regulatory requirements. 6. Ease of use and integration. Cloud services usually provide easy-to-use API interfaces and SDKs for easy integration with other systems. Development tools and service integration capabilities enable developers to implement functions faster and reduce development cycles. 7. Machine learning and AI support. Cloud services also provide powerful machine learning and artificial intelligence tools that can be used to predict the characteristics of the pebble layer, thereby better guiding decisions on the depth of casing installation. Huawei Cloud ModelArts and Alibaba Cloud PAI can be used to train and deploy machine learning models to improve the intelligence level of the system.

[0071] Furthermore, by setting up the data processing and analysis layer 3, when in use, it provides data preprocessing, data cleaning, format conversion, data storage, data analysis and intelligent algorithms such as machine learning models and deep learning models for the data collected by the data acquisition layer 1, thereby achieving real-time analysis of the casing status and prediction of leakage risks.

[0072] The decision support and early warning layer 4 includes an intelligent decision module, which is used to receive the processed data from the data processing and analysis layer 3, run the decision algorithm based on the data, and pass the decision result to the human-computer interaction layer 5 as the execution agency.

[0073] Furthermore, the decision support and early warning layer 4 provides intelligent decision suggestions and early warning information based on the data analysis results, thereby guiding the construction personnel to adjust the construction parameters or take remedial measures.

[0074] The human-computer interaction layer 5 includes an intelligent mobile terminal, which provides a user interface for construction personnel to monitor real-time data, early warning information and intelligent decision-making suggestions of the system. Operators can manually intervene or adjust the construction strategy based on this information, so as to better avoid leakage of grout in the pebble layer during the installation of the steel casing.

[0075] By setting up data collection layer 1, data transmission layer 2, data processing and analysis layer 3, decision support and early warning layer 4 and human-computer interaction layer 5, in the process of driving the steel casing of the pile foundation in the ultra-thick pebble layer, the mud water pressure, driving depth and mud outflow rate inside the steel casing are collected through the data collection layer 1, and the collected data are transmitted to the data processing and analysis layer 3 through the data transmission layer 2. The collected data are pre-processed by the data processing and analysis layer 3 to remove noise and outliers, and converted and normalized. Then, statistical analysis and machine learning algorithms are used to establish a data analysis model to predict and evaluate the leakage quality. Then, through the decision and early warning layer, based on the data analysis results, the system sends early warning information to the construction personnel, and provides suggestions for optimizing the construction process and adjusting the construction parameters, so as to realize real-time judgment of the appropriate depth of casing driving and make timely judgment and response. Real-time monitoring of slurry leakage, evaluation of casing stability, and adjustment of construction strategies based on real-time data can avoid or reduce the occurrence of slurry leakage, thereby solving the existing problem of monitoring the internal water pressure, slurry flow and driving depth of the steel casing during the driving process in order to ensure the quality of pile foundation drilling.

[0076] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A real-time intelligent judgment system for casing installation depth to avoid leakage of grout in pebble layers, characterized by: The invention comprises a data collection layer (1), wherein the data collection layer (1) is electrically connected to a data transmission layer (2) via a cable, wherein the data transmission layer (2) is communicatively connected to a data processing and analysis layer (3), wherein the data processing and analysis layer (3) is communicatively connected to a decision support and early warning layer (4), and wherein the decision support and early warning layer (4) is communicatively connected to a human-machine interaction layer (5); The data collection layer (1) comprises a data collection mechanism, which is used to collect data information on the mud pressure inside the casing and the casing driving depth, as well as the mud flow rate entering the casing and the mud flow rate flowing out of the casing; The data transmission layer (2) uses a wireless communication module to communicate with the data processing and analysis layer (3); The data processing and analysis layer (3) includes a server for performing data computing and storing large amounts of data, a network device for communicating with the data transmission layer (2) and the decision support and early warning layer (4), a database management system for efficiently managing structured data and providing support for query, update and management of data, and a data analysis platform for providing data analysis, mining and visualization; The decision support and early warning layer (4) includes an intelligent decision module, which is used to receive the processed data from the data processing and analysis layer (3), run a decision algorithm based on the data, and pass the decision result to the human-computer interaction layer (5) as an execution mechanism; The human-machine interaction layer (5) comprises an intelligent mobile terminal, which provides a user interface for construction personnel, facilitating operators to monitor real-time data, early warning information and intelligent decision-making suggestions of the system.

2. A real-time intelligent judgment system for casing installation depth to avoid grout leakage in pebble layer according to claim 1, characterized in that: The data acquisition mechanism comprises a T0 segment steel casing (101), the top of which is fixedly connected to a connecting steel casing (102), and a plurality of connecting steel casings (102) are all located above the T0 segment steel casing (101); A floating platform (103) with a circular surface is slidably sleeved on the surface of one of the connecting steel casings (102); a mud return collection trough (104) with a circular surface is arranged on the upper surface of the floating platform (103); a sleeve hole is opened on the inner bottom wall of the mud return collection trough (104); a rubber sealing ring (105) is fixedly connected to the inner wall of the sleeve hole; the inner wall of the rubber sealing ring (105) is slidably connected to the surface of the connecting steel casing (102).

3. A real-time intelligent judgment system for casing installation depth to avoid leakage of grout in pebble layer according to claim 2, characterized in that: A monitoring platform (106) is fixedly connected to the surface of the mud return collection tank (104), a monitoring device control box (107) is fixedly installed on the upper surface of the monitoring platform (106), a controller for monitoring and control is arranged inside the monitoring device control box (107), and the data transmission layer (2) is arranged inside the monitoring device control box (107).

4. A real-time intelligent judgment system for casing installation depth to avoid leakage of grout in pebble layer according to claim 3, characterized in that: The controller is electrically connected to the data transmission layer (2) via a cable; a high-pressure air pump (108) electrically connected to the controller via a cable is fixedly installed on the upper surface of the monitoring device control box (107); an output end of the high-pressure air pump (108) is fixedly connected to an air filling tube (109); one end of the air filling tube (109) is fixedly connected to an air pressure monitoring box (110) via an electromagnetic valve; a pressure sensor (111) for detecting the air pressure inside the air pressure monitoring box (110) is fixedly installed inside the air pressure monitoring box (110); and both the pressure sensor (111) and the electromagnetic valve are electrically connected to the controller via a cable.

5. A real-time intelligent judgment system for casing installation depth to avoid grout leakage in pebble layer according to claim 4, characterized in that: The inner wall of the air pressure monitoring box (110) is fixedly connected to a data detection hose (112), one end of the data detection hose (112) is fixedly connected to a pressure monitoring airbag ring (113) whose surface matches the inner wall of the T0 segment steel casing (101), the surface of the pressure monitoring airbag ring (113) is sleeved with a protective mesh cover (114), and the surface of the protective mesh cover (114) is fixedly connected to the inner wall of the T0 segment steel casing (101); The data detection hose (112) is a metal hose with a rectangular surface, and a synchronous toothed belt is fixedly connected to a surface of one side of the data detection hose (112).

6. A real-time intelligent judgment system for casing installation depth to avoid grout leakage in pebble layer according to claim 5, characterized in that: The upper surface of the monitoring device control box (107) is fixedly connected to a fixed support frame (115), and the upper surface of the fixed support frame (115) is fixedly connected to a support frame (116) having a Y-shaped surface; The inner wall of the support frame (116) is rotatably connected to a tensioning synchronous belt pulley (117) and a detection synchronous belt pulley (118) through bearings, and the surface of the synchronous toothed belt is respectively meshed with the surface of the tensioning synchronous belt pulley (117) and the detection synchronous belt pulley (118). A reduction drive motor (119) and a rotary encoder (120) are fixedly mounted on one side surface of the support frame (116), the output end of the reduction drive motor (119) is fixedly connected to the axle of the tensioning synchronous belt pulley (117), and the detection end of the rotary encoder (120) is fixedly connected to the axle of the detection synchronous belt pulley (118).

7. A real-time intelligent judgment system for casing installation depth to avoid grout leakage in pebble layer according to claim 6, characterized in that: The reduction drive motor (119) and the rotary encoder (120) are both electrically connected to the controller via cables; A travel groove (121) is provided on the surface of the support frame (116); a detection wheel seat (122) is slidably connected to the inner wall of the travel groove (121); a tension detection wheel (123) is rotatably connected to the surface of the detection wheel seat (122) via a bearing; the tension detection wheel (123) and the tensioning synchronous belt pulley (117) and the detection synchronous belt pulley (118) are arranged in a herringbone shape.

8. A real-time intelligent judgment system for casing installation depth to avoid grout leakage in pebble layer according to claim 7, characterized in that: The surface of the tension detection wheel (123) is slidably connected to the surface of the data detection hose (112); A detection rod (124) having a T-shaped surface is fixedly connected to the lower surface of the detection wheel seat (122), and one end of the detection rod (124) passes through the support frame (116) and extends to the inner wall of the fixed support frame (115).

9. A real-time intelligent judgment system for casing installation depth to avoid grout leakage in pebble layer according to claim 8, characterized in that: A pressure spring (125) is sleeved on the surface of the detection rod (124), and two ends of the pressure spring (125) are respectively fixedly connected to one end of the detection rod and the lower surface of the support frame (116); A limit switch (126) is fixedly mounted on the inner bottom wall of the support frame (116), and the limit switch (126) is electrically connected to the controller via a cable.

10. A real-time intelligent judgment system for casing installation depth to avoid grout leakage in pebble layer according to claim 9, characterized in that: The surface of the mud return collection tank (104) is fixedly connected to a mud return pipe (127), and a flow sensor (128) is fixedly installed on the surface of the mud return pipe (127).

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