Method for sinking open caisson without drainage

Abstract

The invention provides a method for sinking an open caisson without drainage, and belongs to the technical field of open caisson sinking. Comprising the following steps: laying soil sampling points; measuring the elevation of the mud surface; planning a soil sampling path; and the intelligent soil sampling equipment samples soil along a preset path. The gravity sensor senses the weight change of the dredge pipe to judge grounding, the multi-beam sounding system obtains three-dimensional data of a mud surface and an artificial intelligence algorithm optimization model, and the artificial intelligence algorithm is used for laying soil sampling points and planning a soil sampling path and depth according to soil body parameters such as the weight of the soil body and stress-strain monitoring data. A laser range finder is used for determining the position of a mud suction pipe; soil stress and strain and mud surface change are monitored in real time during soil sampling; the soil sampling depth and time are dynamically adjusted by an artificial intelligence algorithm; the purposes of precision and visualization of mud surface elevation measurement, scientization and precision of soil sampling planning, intelligent control of the soil sampling process and remote intelligent centralized control of construction are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of caisson sinking, and particularly to a method for non-draining sinking of caissons. Background Art

[0002] In modern infrastructure construction, as a common underground engineering structure, caissons are widely used in fields such as bridge foundations, pump station construction, and underground building construction. Especially in the scenario of large-scale land engineering construction, the scale and complexity of caissons are constantly increasing, and the accuracy and safety of their sinking construction are crucial for the smooth progress of the entire project and the structural stability. As one of the key technologies for caisson construction, the non-draining sinking method has been widely applied in practical engineering because it can effectively avoid the influence of adverse geological phenomena such as water gushing and quicksand on construction and ensure the stability of the construction environment.

[0003] Traditional earth-taking equipment and processes mainly rely on construction experience, and the quality is difficult to guarantee. Problems such as difficult caisson sinking, sinking deviation, and cracking of caisson concrete structures have occurred in multiple projects, seriously affecting the construction progress and the quality of caisson structures; in the construction of caisson foundations for some large bridges, due to the inability of traditional earth-taking methods to accurately control the earth-taking volume and position, the caisson is unevenly stressed during the sinking process, resulting in inclination and deviation, which not only increases the difficulty and cost of deviation correction but also prolongs the construction period. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method for non-draining sinking of caissons, so as to solve the technical problems in the traditional non-draining sinking construction of caissons, such as over-reliance on manual experience, invisibility and uncontrollability of the mud surface elevation, lack of precise planning and control during the earth-taking process, which in turn lead to difficult caisson sinking, sinking deviation, and cracking of concrete structures, seriously affecting the construction progress and the quality of caisson structures.

[0005] Technical Solution: To achieve the above object, the present utility model is realized through the following technical solutions: A method for non-draining sinking of caissons includes: arranging earth-taking points; measuring the mud surface elevation; planning the earth-taking path; and the intelligent earth-taking equipment takes earth along the preset path. Each step needs to be executed in sequence, and each step needs to meet the corresponding accuracy and quality requirements before proceeding to the next step; for example, the arrangement of earth-taking points needs to go through detailed geological exploration and data analysis to ensure its rationality and scientificity; the measurement error of the mud surface elevation needs to be controlled within a very small range to ensure the accuracy of the earth-taking path planning.

[0006] In a further embodiment, the method of arranging soil sampling points is to appropriately densely arrange soil sampling points in areas where the soil mass is dense and has good self-standing properties, and appropriately sparsely arrange soil sampling points in areas where the soil is loose and has poor self-standing properties, according to parameters such as soil unit weight, void ratio, Poisson's ratio, etc. When determining the density of soil sampling points, various factors need to be comprehensively considered, such as the values of various parameters of the soil mass, the structural characteristics of the caisson, the surrounding environment, etc.; a detailed quantitative standard for the density of soil sampling points can be formulated according to the specific engineering situation. For example, according to the specific ranges of parameters such as soil unit weight and void ratio, the corresponding spacing of soil sampling points can be specified.

[0007] In a further embodiment, the method of measuring the mud surface elevation is to use the gravity sensor on the gantry crane to sense the weight change of the suction pipe under the crane, and at the same time use the multibeam sounding system to obtain the three-dimensional data of the mud surface; by setting a weight threshold, when the weight is less than the threshold, it is judged that the suction pipe has touched the bottom. At this time, the length of the lifting rope + the length of the suction pipe is the height from the crane to the mud surface. Combining with the multibeam sounding data, the mud surface elevation is calculated, and the mud surface elevation model is optimized using an artificial intelligence algorithm. The setting of the weight threshold needs to be accurately calculated and verified through multiple tests according to factors such as the weight of the suction pipe and the characteristics of the soil mass to ensure the accuracy of judging that the suction pipe has touched the bottom. The measurement accuracy of the multibeam sounding system needs to reach a certain standard; the optimization model of the artificial intelligence algorithm needs to be trained and verified with a large amount of actual data to ensure the stability and reliability of its optimization effect.

[0008] In a further embodiment, the method of planning the soil sampling path is to use the measured mud surface elevation data and stress-strain monitoring data to inversely calculate the mud surface elevation model in real time, and use an artificial intelligence algorithm to plan the soil sampling path and depth according to the mud surface elevation model and the soil stress-strain situation, so as to shape the mud surface into the required state. The acquisition frequency of the mud surface elevation data and stress-strain monitoring data needs to be reasonably set according to the construction progress and the change of the soil mass to ensure the timeliness and accuracy of the data; the planning results of the artificial intelligence algorithm need to be reviewed by experts and verified through simulation to ensure the rationality and safety of the soil sampling path and depth.

[0009] In a further embodiment, the method for the intelligent soil sampling equipment to sample soil along a preset path is that laser rangefinders are evenly arranged on both the gantry crane trolley and the hoist trolley. Taking the center of the well hole as the origin, the ordinate is determined by the laser rangefinder on the trolley, and the abscissa is determined by the laser rangefinder on the hoist trolley, so as to determine the position of the mud suction pipe in the well hole. During the soil sampling process, the soil stress-strain and the change of the mud surface are monitored in real time. The artificial intelligence algorithm dynamically adjusts the soil sampling depth and time according to the monitoring data, and samples soil at the specified points. The measurement accuracy of the laser rangefinder needs to meet the construction requirements, and the monitoring equipment for the soil stress-strain and the change of the mud surface needs to be calibrated and maintained regularly to ensure the accuracy of the monitoring data. The dynamic adjustment mechanism of the artificial intelligence algorithm needs to have a fast response ability and be able to make reasonable adjustment decisions according to the monitoring data in a short time.

[0010] In a further embodiment, the soil sampling depth is controlled by both depth and time. The set soil sampling depth is 50 cm and the soil sampling time is 300 s. When the soil sampling depth reaches 50 cm but the time has not reached 300 s, it transfers to the next soil sampling point to sample soil. When the soil sampling depth has not reached 50 cm but the time has reached 300 s, it also transfers to the next soil sampling point to sample soil. And during the soil sampling process, according to the real-time monitoring data, the artificial intelligence algorithm can dynamically adjust the set values of the soil sampling depth and time. The initial set values of the soil sampling depth and time need to be reasonably determined according to the actual engineering situation, such as the properties of the soil, the design requirements of the caisson, etc. The adjustment range of the artificial intelligence algorithm for the set values of the soil sampling depth and time needs to be within a reasonable range to avoid excessive adjustment causing construction chaos or affecting the caisson sinking quality.

[0011] An operating console, characterized in that the PLC control cabinet is located in the monitoring room, can plan parameters such as soil sampling points, soil sampling paths, and soil sampling depths, and send instructions to the PLC control cabinet; receive the data transmitted by the PLC control cabinet, analyze and process it in combination with the artificial intelligence algorithm, and provide support for construction decisions. The operation interface of the operating console needs to be reasonably designed, simple and easy to understand, facilitating construction personnel to set parameters and send instructions; the analysis and processing results of the artificial intelligence algorithm need to be presented to construction personnel in an intuitive manner, such as charts, reports, etc., so that construction personnel can make decisions quickly; the operating console needs to have a data storage and backup function to facilitate the traceability and analysis of the data during the construction process.

[0012] A PLC control cabinet, characterized in that the operating console is located on the longitudinal beam of the gantry crane, can receive the instructions issued by the operating console, and control the gantry crane to move and sample soil according to the instructions. At the same time, it receives and processes the stress-strain monitoring data and multi-beam sounding data, and transmits the relevant data to the operating console. The PLC control cabinet needs to have reliable communication capabilities and data processing capabilities, and be able to accurately receive and execute the instructions issued by the operating console; the control cabinet needs to have perfect protection measures, such as waterproof, dustproof, shockproof, etc., to adapt to the harsh environment of the construction site.

[0013] Beneficial effects: By using a gravity sensor to sense the weight change of the mud suction pipe to determine bottom contact, and a multi-beam sounding system to obtain three-dimensional data of the mud surface, the two are combined to calculate the mud surface elevation and optimize the model by an artificial intelligence algorithm. Based on soil parameters such as soil unit weight and stress-strain monitoring data, an artificial intelligence algorithm is used to layout the soil sampling points and plan the soil sampling path and depth. In addition, laser rangefinders on the gantry crane trolley and the main trolley determine the position of the mud suction pipe, and during soil sampling, the stress-strain of the soil body and the change of the mud surface are monitored in real time, and the artificial intelligence algorithm dynamically adjusts the soil sampling depth and time. Moreover, the PLC control cabinet located on the gantry crane girder receives instructions from the operating console in the monitoring room to control the movement and soil sampling of the gantry crane, processes and transmits monitoring data, plans parameters on the operating console, sends instructions and receives and analyzes data. With the cooperation of various structures, the purpose of accurate and visual mud surface elevation measurement, scientific and accurate soil sampling planning, intelligent control of the soil sampling process, and remote intelligent centralized control of the construction is achieved. Finally, the effect of accurately grasping the mud surface condition to provide reliable data for soil sampling planning, reasonably arranging soil sampling work to avoid problems such as difficult sinking and deviation of the caisson, ensuring the safe and stable sinking of the caisson to improve the construction quality, and reducing the influence of human factors to improve the construction progress is achieved. Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present utility model or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present utility model. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0015] Figure 1 It is a schematic diagram of the layout of the soil sampling points and the planning of the soil sampling path of the present invention.

[0016] Figure 2 It is a flow chart of measuring the mud surface elevation in the measuring well hole of the present invention.

[0017] Figure 3 It is an automatic mud suction flow chart of the present invention. Detailed Embodiments

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present utility model clearer, the technical solutions in the embodiments of the present utility model are clearly and completely described. Obviously, the described embodiments are some, but not all, of the embodiments of the present utility model. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present utility model.

[0019] By providing a method for the non-draining sinking of a caisson, the embodiments of the present application solve the technical problems in the traditional non-draining sinking construction of caissons, such as over-reliance on manual experience, non-visual and uncontrollable mud surface elevation, lack of precise planning and control in the soil extraction process, which lead to difficulties in caisson sinking, deviation of sinking position, and cracking of concrete structures, seriously affecting the construction progress and the quality of the caisson structure. In actual use, it realizes the intelligent and scientific construction process, reduces the influence of human factors, ensures the safe and stable sinking of the caisson, and improves the construction progress and the quality of the caisson structure.

[0020] To better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific embodiments.

[0021] Refer to Figures 1-3 , a method for the non-draining sinking of a caisson, including: arranging soil extraction points; measuring the mud surface elevation; planning the soil extraction path; and the intelligent soil extraction equipment extracting soil along the preset path.

[0022] It realizes the effect of constructing the basic framework of the method for the non-draining sinking of a caisson, clarifies the key process links from the preliminary preparation to the actual soil extraction, provides a clear guidance for the subsequent detailed description of the construction steps, gives a macroscopic process concept to the whole construction process, and is convenient for construction personnel to grasp the construction sequence and key nodes as a whole.

[0023] The method for arranging soil extraction points is to appropriately densely arrange soil extraction points in the area where the soil is dense and has good self-standing ability according to parameters such as soil unit weight, void ratio, and Poisson's ratio, and appropriately sparsely arrange soil extraction points in the area where the soil is loose and has poor self-standing ability.

[0024] It realizes the effect of reasonably arranging soil extraction points according to local conditions based on the physical and mechanical parameters of the soil. By appropriately densely arranging soil extraction points in the area where the soil is dense and has good self-standing ability, the bearing capacity of the soil can be fully utilized to improve the soil extraction efficiency; by appropriately sparsely arranging soil extraction points in the area where the soil is loose and has poor self-standing ability, the instability of the soil caused by excessive soil extraction is effectively avoided, ensuring the stability and safety of the soil during the construction process and creating favorable conditions for the stable sinking of the caisson.

[0025] The method for measuring the mud surface elevation is to use the gravity sensor on the gantry crane to sense the weight change of the suction pipe under the crane, and at the same time use the multi-beam sounding system to obtain the three-dimensional data of the mud surface; by setting a weight threshold, when the weight is less than the threshold, it is judged that the suction pipe has touched the bottom. At this time, the length of the lifting rope + the length of the suction pipe is the height from the crane to the mud surface. Combining the multi-beam sounding data, the mud surface elevation is calculated, and the mud surface elevation model is optimized using artificial intelligence algorithms.

[0026] The effect of achieving high-precision measurement of the mud surface elevation and intelligent optimization of the mud surface elevation model is realized. By using the gravity sensor on the gantry crane and the multi-beam sounding system to work together, it is possible to accurately judge the situation of the suction pipe touching the bottom and obtain the three-dimensional data of the mud surface, greatly improving the accuracy and comprehensiveness of the mud surface elevation measurement. Then, with the help of artificial intelligence algorithms to optimize the mud surface elevation data, the accuracy of the mud surface elevation model is further improved, providing reliable data support for the subsequent soil-taking path planning.

[0027] The method for planning the soil-taking path is to use the measured mud surface elevation data and stress-strain monitoring data to inversely calculate the mud surface elevation model in real time, and use artificial intelligence algorithms to plan the soil-taking path and depth according to the mud surface elevation model and the soil stress-strain situation, shaping the mud surface into the required state.

[0028] The effect of scientifically and accurately planning the soil-taking path and depth according to the actual situation of the mud surface and the soil stress-strain situation is realized; by inversely calculating the mud surface elevation model in real time, combining the soil stress-strain monitoring data, and using artificial intelligence algorithms, various factors can be comprehensively considered to formulate a soil-taking plan that meets the requirements of the caisson sinking, shaping the mud surface into an ideal state, effectively avoiding problems such as inclination and deviation during the caisson sinking process caused by improper soil-taking, and ensuring the stability and controllability of the caisson sinking.

[0029] The method for the intelligent soil-taking equipment to take soil along the preset path is that laser rangefinders are evenly arranged on the gantry crane trolley and the hoist trolley. Taking the center of the well hole as the origin, the ordinate is determined by the laser rangefinder on the trolley, and the abscissa is determined by the laser rangefinder on the hoist trolley, so as to determine the position of the suction pipe in the well hole; during the soil-taking process, the soil stress-strain and mud surface changes are monitored in real time, and the artificial intelligence algorithm dynamically adjusts the soil-taking depth and time according to the monitoring data, and takes soil at the specified points.

[0030] The effect of accurately positioning the suction pipe in the well hole and intelligently and dynamically adjusting the soil-taking depth and time according to the soil and mud surface changes during the soil-taking process is realized. The laser rangefinders on the gantry crane trolley and the hoist trolley can accurately determine the coordinate position of the suction pipe, ensuring that the soil-taking operation is carried out accurately according to the preset path; at the same time, the soil stress-strain and mud surface changes are monitored in real time, and the artificial intelligence algorithm adjusts the soil-taking depth and time in a timely manner according to the monitoring data, enabling the soil-taking process to flexibly adapt to different working conditions, and improving the accuracy and adaptability of the soil-taking.

[0031] The soil sampling depth is controlled by both depth and time. The set soil sampling depth is 50 cm and the soil sampling time is 300 s. When the soil sampling depth reaches 50 cm but the time has not reached 300 s, it transfers to the next soil sampling point for sampling. When the soil sampling depth has not reached 50 cm but the time has reached 300 s, it also transfers to the next soil sampling point for sampling. And during the soil sampling process, according to the real-time monitoring data, the artificial intelligence algorithm can dynamically adjust the set values of the soil sampling depth and time.

[0032] It realizes the strict dual-control management of the soil sampling depth and can flexibly and dynamically adjust the soil sampling parameters according to the real-time monitoring data. Setting the dual-control standards for the soil sampling depth and time can effectively avoid the problems of insufficient or excessive soil sampling that may occur in a single control method, ensuring that the soil sampling volume at each soil sampling point meets the design requirements. Moreover, during the soil sampling process, the artificial intelligence algorithm dynamically adjusts the set values of the soil sampling depth and time according to the real-time monitored data such as soil stress and strain and mud surface changes, further optimizing the soil sampling process and improving the construction quality and efficiency.

[0033] The PLC control cabinet is located in the monitoring room. It can plan parameters such as soil sampling points, soil sampling paths, and soil sampling depths, and send instructions to the PLC control cabinet; receive the data transmitted by the PLC control cabinet, analyze and process it in combination with the artificial intelligence algorithm, and provide support for construction decisions.

[0034] It realizes the effect of being the construction control center, planning the soil sampling-related parameters and sending instructions to the PLC control cabinet, while receiving and processing the data transmitted by the PLC control cabinet, and providing scientific support for construction decisions in combination with the artificial intelligence algorithm; the operating platform is located in the monitoring room. Construction personnel can reasonably plan key parameters such as soil sampling points, soil sampling paths, and soil sampling depths according to the project requirements and monitoring data in it, and accurately send instructions to the PLC control cabinet. In addition, by receiving and analyzing the data transmitted by the PLC control cabinet and conducting in-depth processing in combination with the artificial intelligence algorithm, it can timely discover the problems and potential risks existing in the construction process, provide a reliable basis for construction decisions, and realize the intelligent and scientific management of the construction process.

[0035] The operating platform is located on the longitudinal beam of the gantry crane. It can receive the instructions issued by the operating platform, control the gantry crane to move and sample according to the instructions, and at the same time receive and process the stress and strain monitoring data and multi-beam sounding data, and transmit the relevant data to the operating platform.

[0036] It has achieved the effect of acting as a control hub, receiving the instructions from the operating console to precisely control the movement of the gantry crane and the soil extraction operation, while efficiently processing and transmitting key information such as stress-strain monitoring data and multi-beam sounding data; the PLC control cabinet is located on the longitudinal beam of the gantry crane, which can quickly respond to the instructions of the operating console, ensure that the gantry crane moves and extracts soil according to the predetermined path and requirements, and guarantee the accuracy and stability of the construction operation. At the same time, its timely processing and transmission of the monitoring data provide real-time and accurate data support for the analysis and decision-making of the operating console.

[0037] During the use process, when carrying out the non-drained sinking construction of the caisson, first, according to parameters such as soil unit weight, void ratio, and Poisson's ratio, the soil extraction points are densely arranged in the area where the soil is dense and has good self-standing property, and the soil extraction points are sparsely arranged in the area where the soil is loose and has poor self-standing property; then, the gravity sensor on the gantry crane hoist is used to sense the change in the weight of the suction pipe, and at the same time, the multi-beam sounding system is used to obtain the three-dimensional data of the mud surface. When the gravity is less than the set threshold to judge that the suction pipe touches the bottom, the mud surface elevation is calculated by combining the length of the lifting rope and the suction pipe and the multi-beam sounding data, and the mud surface elevation model is optimized by using the artificial intelligence algorithm; then, based on the measured mud surface elevation data and stress-strain monitoring data, the mud surface elevation model is inversely calculated in real time, and the artificial intelligence algorithm is used to plan the soil extraction path and depth; subsequently, the laser rangefinders on the trolley and the carriage of the gantry crane determine the position of the suction pipe in the well hole, and the intelligent soil extraction equipment extracts soil along the preset path. During the soil extraction process, the stress-strain of the soil and the change of the mud surface are monitored in real time, and the artificial intelligence algorithm dynamically adjusts the soil extraction depth and time according to the monitoring data. The soil extraction depth is controlled by both 50 cm depth and 300 s time. When the control conditions are met, it transfers to the next soil extraction point, and the set value can be dynamically adjusted according to the real-time monitoring data; during the whole process, the operating console in the monitoring room plans the relevant parameters of the soil extraction and sends the instructions to the PLC control cabinet located on the longitudinal beam of the gantry crane. The PLC control cabinet controls the movement and soil extraction of the gantry crane, and at the same time receives and processes the stress-strain monitoring data and multi-beam sounding data and then transmits them to the operating console. The operating console receives the data and analyzes and processes them in combination with the artificial intelligence algorithm to provide support for the construction decision-making.

[0038] The present invention covers any alternatives, modifications, equivalent methods, and solutions made within the essence and scope of the present invention. To enable the public to have a thorough understanding of the present invention, specific details have been described in detail in the above preferred embodiments of the present invention. However, those skilled in the art can fully understand the present invention without the description of these details. In addition, to avoid unnecessary confusion to the essence of the present invention, well-known methods, processes, procedures, components, and circuits have not been described in detail.

[0039] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A method for the non-drainage sinking of a caisson, characterized in that, Including: Laying out soil sampling points; measuring the mud surface elevation; planning the soil sampling path; and the intelligent soil sampling equipment taking soil along the preset path.

2. A method for the non-drained sinking of a caisson, as claimed in claim 1, wherein: The method of laying out soil sampling points is to appropriately densely arrange soil sampling points in areas with dense soil, good self - standing property, etc. according to parameters such as soil unit weight, void ratio, Poisson's ratio, etc., and appropriately sparsely arrange soil sampling points in areas with loose soil and poor self - standing property.

3. A method for non-draining sinking of a caisson, according to claim 1, characterized in that: The method of measuring the mud surface elevation is to use the gravity sensor on the gantry crane to sense the weight change of the submersible dredge pipe under the crane, and at the same time use the multi - beam sounding system to obtain the three - dimensional data of the mud surface; by setting a weight threshold, when the weight is less than the threshold, it is judged that the dredge pipe has touched the bottom. At this time, the length of the lifting rope + the length of the dredge pipe is the height from the crane to the mud surface. Combining with the multi - beam sounding data, the mud surface elevation is calculated, and the mud surface elevation model is optimized using artificial intelligence algorithms.

4. A method for non-draining sinking of a caisson, according to claim 1, characterized in that: The method of planning the soil sampling path is to use the measured mud surface elevation data and stress - strain monitoring data to inversely calculate the mud surface elevation model in real time, and use artificial intelligence algorithms to plan the soil sampling path and depth according to the mud surface elevation model and the soil stress - strain situation, shaping the mud surface into the required state.

5. A method for non-draining sinking of a caisson, according to claim 1, characterized in that: The method of the intelligent soil sampling equipment taking soil along the preset path is that laser rangefinders are evenly arranged on the trolley and the main trolley of the gantry crane. Taking the well hole center as the origin, the ordinate is determined by the laser rangefinder on the main trolley, and the abscissa is determined by the laser rangefinder on the trolley, so as to determine the position of the dredge pipe in the well hole; during the soil sampling process, the soil stress - strain and mud surface changes are monitored in real time, and the artificial intelligence algorithm dynamically adjusts the soil sampling depth and time according to the monitoring data, and takes soil at the specified points.

6. A method for non-draining sinking of a caisson, according to claim 5, characterized in that: The soil sampling depth is controlled by both depth and time. The set soil sampling depth is 50 cm and the soil sampling time is 300 s. When the soil sampling depth reaches 50 cm but the time has not reached 300 s, it transfers to the next soil sampling point to take soil. When the soil sampling depth has not reached 50 cm but the time has reached 300 s, it also transfers to the next soil sampling point to take soil; and during the soil sampling process, according to the real - time monitoring data, the artificial intelligence algorithm can dynamically adjust the set values of the soil sampling depth and time.

7. A PLC control cabinet, which adopts the method for non-draining sinking of a caisson according to any one of claims 1-6, is characterized in that, The PLC control cabinet is located in the monitoring room, which can plan parameters such as soil sampling points, soil sampling paths, and soil sampling depths, and send instructions to the PLC control cabinet; receive the data transmitted by the PLC control cabinet, analyze and process it in combination with artificial intelligence algorithms, and provide support for construction decisions.

8. An operating platform, which adopts the method for non-drainage sinking of a caisson according to any one of claims 1-7, is characterized in that The operating console is located on the longitudinal beam of the gantry crane, which can receive the instructions issued by the operating console, control the gantry crane to move and take soil according to the instructions, and at the same time receive and process the stress - strain monitoring data and multi - beam sounding data, and transmit the relevant data to the operating console.

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