A real-time monitoring system for caisson posture in soft soil

Abstract

The present invention provides a real-time monitoring system for caisson posture for soft soil formations, wherein the system comprises: a data acquisition module for acquiring caisson data of caissons in soft soil formations; a data analysis module for determining the posture parameters of the caisson based on the caisson data; a posture prediction module for constructing a posture prediction model based on historical data and inputting the posture parameters of the caisson into the posture prediction model to predict the future posture parameters of the caisson; an abnormal alarm module for judging the future posture abnormality of the caisson based on the future posture parameters, and issuing a first alarm message if it is judged to be abnormal; and a correction and recovery module for performing advance correction of the caisson based on the posture parameters of the caisson. The present invention acquires caisson data of soft soil formations, predicts and judges abnormalities in the future posture parameters of the caisson data, and corrects the deviation in a timely manner, thereby prejudging the caisson posture in advance and improving the early warning of deep well operations.

Description

Technical Field

[0001] The present invention relates to the technical field of construction monitoring, and in particular to a method and system for real-time monitoring of caisson posture in soft soil formations. Background Art

[0002] During the caisson construction process, in order to ensure that the caisson can sink smoothly, the control of verticality is particularly important. The inclination of the caisson not only brings difficulties to the sinking process, but also excessive inclination will be difficult to correct, which will affect the sinking quality and even affect the subsequent construction. The verticality of the caisson during the descent is monitored by a monitoring mechanism, and an alarm is issued.

[0003] The prior art CN112814011B provides a super-large caisson foundation construction monitoring system and a construction control method based on the monitoring system, which adopts a caisson construction data collection method that combines automatic caisson data collection with manual verification, and constructs a structural stress, geometric posture and control parameter status indicator system and a 5-level status grade that reflect the caisson construction status based on the caisson monitoring content. However, there is no specific correction plan, and it is unable to deal with the sudden sinking phenomenon that may occur in soft soil strata.

[0004] Therefore, a solution is urgently needed. Summary of the invention

[0005] An embodiment of the present invention provides a real-time monitoring system for caisson posture in soft soil formations, comprising:

[0006] A data acquisition module, used to collect caisson data of caissons in soft soil formations;

[0007] A data analysis module, used for determining the posture parameters of the caisson based on the caisson data;

[0008] A posture prediction module, used to construct a posture prediction model based on historical data and input the posture parameters of the caisson into the posture prediction model to predict the future posture parameters of the caisson;

[0009] an abnormal alarm module, used for judging abnormal future posture of the caisson based on the future posture parameter, and issuing a first alarm message if it is judged to be abnormal;

[0010] The correction and recovery module is used to perform advance correction of the caisson based on the caisson's posture parameters.

[0011] Preferably, the data acquisition module includes:

[0012] A monitoring point selection unit is used to install several monitoring points at the caisson opening in soft soil;

[0013] A coordinate system construction unit, used to construct a world coordinate system with the midpoint of a figure formed by connecting a number of monitoring points as the origin, the horizontal plane as the xy axis, and the vertical direction as the z axis;

[0014] The first acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system for the first time to obtain the first data of the caisson;

[0015] The second acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system for a second time to obtain the second data of the caisson;

[0016] A force data acquisition unit, used to collect force data of the caisson;

[0017] The data summarizing unit is used to summarize the first caisson data, the second caisson data and the force data to obtain the caisson data.

[0018] Preferably, the data analysis module includes:

[0019] A displacement analysis unit, used for determining the position offset of the caisson based on the caisson data;

[0020] A tilt analysis unit, used to determine the tilt angle change and tilt direction of the caisson based on the caisson data;

[0021] A force analysis unit, used to determine the force distribution of the side wall of the caisson based on the force data;

[0022] Elevation analysis unit, used to determine the elevation change of the caisson based on the caisson data

[0023] The torsion analysis unit is used to determine the torsion change and torsion direction based on the caisson data.

[0024] Preferably, the posture prediction module includes:

[0025] A model building unit, used to build a posture prediction model;

[0026] A model training unit, used to train a posture prediction model using historical data;

[0027] The future prediction unit is used to input the posture parameters of the caisson into the trained posture prediction model to obtain the future posture parameters of the caisson.

[0028] Preferably, the abnormal alarm module includes:

[0029] A rule base construction unit is used to construct a caisson rule base based on historical data, wherein the caisson rule base includes caisson attitude parameter rules;

[0030] The abnormality judgment unit is used to input the future posture parameters of the caisson into the caisson rule library for comparison, and judge whether the future posture parameters exceed the set threshold range. If they exceed the set threshold range, the future posture of the caisson is judged to be abnormal, otherwise no operation is performed;

[0031] The alarm sending module is used to send out alarm information and send the corresponding caisson posture abnormality category when it is determined that the future posture of the caisson is abnormal.

[0032] Preferably, the correction and recovery module includes:

[0033] Solution library construction unit, used to build anomaly category-correction solution library based on historical correction data,

[0034] Among them, the abnormal category-correction solution library includes abnormal categories and corresponding correction solutions;

[0035] A solution generation unit, used to obtain the abnormal category of the caisson posture and retrieve the corresponding correction solution in the abnormal category-correction solution library;

[0036] An adjustment value determination unit, used to determine the adjustment value of the caisson attitude parameter based on the correction scheme corresponding to the abnormal category of the caisson attitude;

[0037] A deviation correction adjustment unit, used to adjust the force distribution on the side wall of the caisson according to a deviation correction scheme based on the caisson attitude parameter adjustment value;

[0038] The third acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system for the third time after the adjustment is completed, so as to obtain the third data of the caisson;

[0039] The deviation correction and re-inspection unit is used to determine whether the deviation correction and recovery is completed based on the third data of the caisson.

[0040] Preferably, the caisson posture real-time monitoring system for soft soil formations further comprises:

[0041] The soft soil caisson positioning module is used to control the caisson to reach the set elevation and determine whether it is in place when the caisson sinks into the soft soil layer;

[0042] Among them, the soft soil caisson placement module includes:

[0043] The fourth acquisition unit is used for sinking the caisson into the soft soil layer, stopping the caisson excavation and respectively acquiring the coordinates of the four monitoring points in the world coordinate system at the first moment to obtain the fourth data of the caisson;

[0044] A first elevation unit, used for determining a first elevation of the caisson based on the fourth caisson data;

[0045] A fifth acquisition unit is used to respectively acquire the coordinates of the four monitoring points on the world coordinate system at a second moment after any time period of the first moment to obtain fifth caisson data;

[0046] A second elevation unit, used for determining a second elevation of the caisson based on the fifth caisson data;

[0047] A sinking speed determining unit, used to determine the sinking speed of the caisson based on the first elevation of the caisson and the second elevation of the caisson;

[0048] A uniform sinking control unit is used to determine the construction speed of the caisson based on the self-sinking speed of the caisson, so that the caisson sinks at a uniform speed according to a set first sinking speed;

[0049] The sinking speed adjustment unit is used to change the force distribution on the side wall of the caisson when the elevation of the caisson reaches the set elevation, so that the sinking speed of the caisson is 0;

[0050] The sixth acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system to obtain the sixth data of the caisson;

[0051] an in-position judgment unit, used for confirming the posture parameters of the caisson based on the sixth caisson data and judging whether the posture parameters of the caisson meet the caisson posture parameter rules in the caisson rule library; if they meet the caisson posture parameter rules in the caisson rule library, the caisson is in position; if not, the caisson is corrected;

[0052] Wherein, the sinking speed adjustment unit includes:

[0053] The first force-bearing subunit is used to obtain the geological structure of the caisson within a certain distance from the set elevation, and measure the force distribution of the side wall of the caisson to obtain the first side wall force distribution;

[0054] The second force-bearing subunit is used to make a first adjustment to the force distribution of the side wall of the caisson, determine the second force distribution of the side wall, increase the friction between the caisson and the soft soil layer, and make the caisson sink according to the set second sinking speed;

[0055] The third force-bearing subunit is used to make a second adjustment to the force distribution of the side wall of the caisson when the elevation of the caisson reaches the set elevation, and determine the third side wall force distribution so that the sinking speed of the caisson is 0;

[0056] A stability judgment subunit, used to calculate the stability coefficient of the caisson based on the force distribution of the third side wall, and judge whether the stability coefficient of the caisson is less than a set stability coefficient threshold;

[0057] The stability adjustment subunit is used to determine the force distribution of the fourth side wall for the third adjustment if the stability coefficient of the caisson is less than the set stability coefficient threshold, so that the stability coefficient of the caisson is not less than the set stability coefficient threshold, otherwise no operation is performed.

[0058] Preferably, the caisson posture real-time monitoring system for soft soil formations further comprises:

[0059] Sudden sinking warning module, used to collect sinking speed, construct sinking speed to determine warning level and send warning signal corresponding to the warning level;

[0060] Among them, the sudden sinking warning module includes:

[0061] The speed change unit is used to collect the sinking speed of the caisson and calculate the sinking speed change rate of the caisson;

[0062] A first judgment unit is used to judge whether the sinking speed change rate of the caisson exceeds a first rate threshold, and if it exceeds the first rate threshold, a second alarm message is issued and a personnel evacuation unit is started; if it does not exceed the first rate threshold, the second judgment unit is turned to;

[0063] The personnel evacuation unit is used to stop the caisson excavation, determine the force distribution of the fifth side wall based on the sinking speed change rate of the caisson, control the sinking speed of the caisson to reach the set safety speed, and guide the construction personnel to evacuate in an orderly manner;

[0064] A second judgment unit is used to judge whether the sinking speed change rate of the caisson exceeds a second rate threshold, and if it exceeds the second rate threshold, the caisson end resistance unit is started; if it does not exceed the second rate threshold, the process goes to a third judgment unit;

[0065] The caisson end resistance unit is used to increase the caisson working water level to a set water level and adjust the end resistance to a set end resistance value based on the corresponding relationship between the change in the caisson's sinking speed and the caisson's working water level;

[0066] A third judgment unit is used to judge whether the sinking speed change rate of the caisson exceeds a third rate threshold, and if it exceeds the third rate threshold, the caisson side resistance unit is started, and if it does not exceed the third rate threshold, no operation is performed;

[0067] The caisson side resistance unit is used to lower the working water level of the caisson to a set water level based on the relationship between the working water level of the caisson and the buoyancy of the caisson, and adjust the side resistance to the set side resistance value.

[0068] Preferably, the caisson posture real-time monitoring system for soft soil formations further comprises:

[0069] The neighboring object impact assessment module is used to determine the impact coefficient of the structures adjacent to the caisson on the caisson and adjust the sinking speed of the caisson according to the impact coefficient;

[0070] Among them, the neighborhood impact assessment module includes:

[0071] A neighbor object determination unit is used to collect images within a set distance from the caisson and identify several structures that affect the caisson;

[0072] Any structure influence unit, used to determine the influence coefficient of any structure on the caisson based on the volume of any structure affecting the caisson and the orientation and distance between any structure and the caisson;

[0073] The comprehensive influence coefficient unit is used to simulate a regular hexagon based on the position of the caisson, with the origin of the world coordinate system as the center and the horizontal plane as the xy axis, and mark the influence coefficient of any structure on the caisson on the regular hexagon according to the orientation between any structure and the caisson to determine the comprehensive influence coefficient;

[0074] The neighboring object speed adjustment unit is used to adjust the sinking speed and direction of the caisson based on the comprehensive influence coefficient and the proportional relationship between the comprehensive influence coefficient and the sinking speed of the caisson.

[0075] The present invention also provides a method for real-time monitoring of caisson posture in soft soil formations, comprising:

[0076] Collect caisson data for caissons in soft soil formations;

[0077] Determining attitude parameters of the caisson based on the caisson data;

[0078] Based on the historical data, a posture prediction model is constructed and the posture parameters of the caisson are input into the posture prediction model to predict the future posture parameters of the caisson;

[0079] Based on the future posture parameter, determining whether the future posture of the caisson is abnormal, and if it is determined to be abnormal, issuing a first alarm message;

[0080] Based on the posture parameters of the caisson, the caisson is corrected in advance.

[0081] Beneficial effects of the present invention:

[0082] The caisson data of soft soil layers are collected, the future attitude parameters of the caisson data are predicted and abnormalities are judged, and corrections are made in time, which enables the prediction of the caisson attitude in advance and improves the early warning of deep well operations.

[0083] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0084] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0086] Figure 1 Schematic diagram of a caisson posture real-time monitoring system for soft soil formations according to an embodiment of the present invention;

[0087] Figure 2 It is a schematic diagram of a method for real-time monitoring of caisson posture in soft soil formations according to an embodiment of the present invention. DETAILED DESCRIPTION

[0088] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0089] The embodiment of the present invention provides a real-time monitoring system for caisson posture in soft soil formations. Figure 1 As shown, including:

[0090] Data acquisition module 1, used for collecting caisson data of caissons in soft soil layers;

[0091] A data analysis module 2, used for determining the posture parameters of the caisson based on the caisson data;

[0092] The posture prediction module 3 is used to construct a posture prediction model based on historical data and input the posture parameters of the caisson into the posture prediction model to predict the future posture parameters of the caisson;

[0093] The abnormal alarm module 4 is used to judge the abnormality of the future posture of the caisson based on the future posture parameter, and issue a first alarm message if it is judged to be abnormal;

[0094] The correction and recovery module 5 is used to correct the caisson in advance based on the posture parameters of the caisson.

[0095] The working principle and beneficial effects of the above technical solution are:

[0096] The data acquisition module 1 collects the caisson data of the soft soil layer, and collects the coordinates of the caisson in the three-dimensional coordinate system, force data, etc. The data analysis module 2 determines the posture parameters of the caisson according to the coordinates of the caisson in the three-dimensional coordinate system, such as the geometric posture parameters and force distribution of the caisson. The posture prediction module 3 constructs a posture prediction model through a convolutional neural network, and trains the posture prediction model based on historical data to obtain a trained posture prediction model, and inputs the posture parameters of the caisson in the data analysis module 2 into the trained posture prediction model for prediction to obtain the future posture parameters of the caisson. The abnormal alarm module 4 determines whether the future posture parameters of the caisson are abnormal. For example, a torsion angle of 3 degrees is greater than the set torsion angle threshold of 1 degree, which may cause the caisson to torsion and deformation. Therefore, it is judged as abnormal, and the first alarm message "the torsion angle is too large" is issued to prompt the manager to correct it. The correction and recovery module 5 corrects the caisson according to the posture parameters of the caisson, for example, by using the unequal pressure under the blade foot of the caisson to reversely twist the caisson by 3 degrees.

[0097] The embodiment of the present invention collects caisson data in soft soil layers, predicts and judges abnormalities of future posture parameters of the caisson data, and corrects them in time, thereby prejudging the caisson posture in advance and improving the early warning of deep well operations.

[0098] In one embodiment, the data acquisition module 1 includes:

[0099] The data acquisition module includes:

[0100] A monitoring point selection unit is used to install several monitoring points at the caisson opening in soft soil;

[0101] A coordinate system construction unit, used to construct a world coordinate system with the midpoint of a figure formed by connecting a number of monitoring points as the origin, the horizontal plane as the xy axis, and the vertical direction as the z axis;

[0102] The first acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system for the first time to obtain the first data of the caisson;

[0103] The second acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system for a second time to obtain the second data of the caisson;

[0104] A force data acquisition unit, used to collect force data of the caisson;

[0105] The data summarizing unit is used to summarize the first caisson data, the second caisson data and the force data to obtain the caisson data.

[0106] The working principle and beneficial effects of the above technical solution are:

[0107] The monitoring point selection unit selects four monitoring points A, B, C and D to be installed at the caisson mouth. The coordinate system construction unit constructs a world coordinate system. The origin of the world coordinate system is the intersection of the four monitoring points. The vertical direction is the z-axis, and the perpendicular plane to the vertical direction is the xy-axis. In this embodiment, the x-axis is from point A to point C, and the y-axis is from point B to point D. The first acquisition unit collects the coordinates of the four monitoring points for the first time, which are point A (x 1 ,y 1 ,z 1 )、Point B(x 2 ,y 2 ,z 2 )、Point C(x 3 ,y 3 ,z 3 ) and point D (x 4 ,y 4 ,z 4 The second acquisition unit collects the coordinates of the four monitoring points for the second time, namely point A (x′ 1 ,y′ 1 ,z′ 1 ), point B (x′ 2 ,y′ 2 ,z′ 2 ), point C (x′ 3 ,y′ 3 ,z′ 3 ) and point D (x′ 4 ,y′ 4 ,z′ 4 ). The force data acquisition unit acquires the geometric force data of the caisson. The data summary unit summarizes the first caisson data, the second caisson data and the force data to obtain the caisson data.

[0108] The embodiment of the present invention collects the posture parameter data of the caisson through the data collection module, which provides a premise for the analysis of the posture parameters.

[0109] In one embodiment, the data analysis module 2 includes:

[0110] A displacement analysis unit, used for determining the position offset of the caisson based on the caisson data;

[0111] A tilt analysis unit, used to determine the tilt angle change and tilt direction of the caisson based on the caisson data;

[0112] A force analysis unit, used to determine the force distribution of the side wall of the caisson based on the force data;

[0113] Elevation analysis unit, used to determine the elevation change of the caisson based on the caisson data

[0114] The torsion analysis unit is used to determine the torsion change and torsion direction based on the caisson data.

[0115] The working principle and beneficial effects of the above technical solution are:

[0116] The displacement analysis unit calculates the coordinates of the origin of the second caisson based on the collected points A, B, C, and D. Since the origin of the first caisson is the origin of the world coordinate system, that is, (0,0,0). In order to simplify the calculation, the x-axis in this embodiment is set to be from point A to point C, and the y-axis is set to be from point B to point D. Therefore, it can be calculated that the position offset of the caisson is actually The tilt analysis unit calculates the tilt angle based on the caisson data and divides the tilt angle into the lateral tilt angle and the longitudinal tilt angle according to the coordinate axis. Therefore, the lateral tilt angle change can be calculated. Similarly, the longitudinal tilt angle changes The force analysis unit determines the force distribution of the side wall of the caisson based on the force data. The elevation analysis unit calculates the elevation change of the caisson. The torsion analysis unit calculates the torsion angle Δβ, which is also divided into the lateral tilt angle Δβ 1 and the longitudinal inclination angle Δβ 2 Therefore, the lateral tilt angle Longitudinal tilt angle

[0117] The embodiment of the present invention processes the caisson data to obtain the attitude parameters and stress distribution of the caisson, which provides data support for the subsequent caisson judgment and correction, making the result more accurate.

[0118] In one embodiment, the posture prediction module 3 includes:

[0119] A model building unit, used to build a posture prediction model;

[0120] A model training unit, used to train a posture prediction model using historical data;

[0121] The future prediction unit is used to input the posture parameters of the caisson into the trained posture prediction model to obtain the future posture parameters of the caisson.

[0122] The working principle and beneficial effects of the above technical solution are:

[0123] The model building unit in the posture prediction module 3 builds a posture prediction model. The neural network model used in this embodiment, the model training unit uses historical data to train the built posture prediction model. The future prediction unit uses the trained posture prediction model to predict future posture parameters.

[0124] The embodiment of the present invention realizes the prediction of future posture parameters by constructing a posture prediction model, and improves the accuracy of data by utilizing the multi-dimensional characteristics of data.

[0125] In one embodiment, the abnormality alarm module 4 includes:

[0126] A rule base construction unit is used to construct a caisson rule base based on historical data, wherein the caisson rule base includes caisson attitude parameter rules;

[0127] The abnormality judgment unit is used to input the future posture parameters of the caisson into the caisson rule library for comparison, and judge whether the future posture parameters exceed the threshold range set in the caisson posture parameter rule. If it exceeds the set threshold range, the future posture of the caisson is judged to be abnormal, otherwise no operation is performed;

[0128] The alarm sending module is used to send out alarm information and send the corresponding caisson posture abnormality category when it is determined that the future posture of the caisson is abnormal.

[0129] The working principle and beneficial effects of the above technical solution are:

[0130] The rule base construction unit in the abnormal alarm module 4 constructs a caisson rule base based on historical data. For example, based on historical data, the caisson torsion angle rule range is constructed to be -1°<Δβ<1°. The abnormal judgment unit inputs the future posture parameters of the caisson predicted by the posture prediction module 3 into the caisson rule base for comparison. For example, if the posture prediction module 3 predicts that Δβ is 2°, which exceeds the threshold range set in the caisson torsion angle rule, the future posture of the caisson is judged to be abnormal. The alarm issuance module issues an alarm message and issues a caisson posture abnormality category corresponding to "the caisson torsion angle is too large" based on the judgment result that the future posture of the caisson is abnormal.

[0131] The embodiment of the present invention constructs a caisson rule library to perform abnormal judgment on the predicted future posture parameters of the caisson and issues a safety alarm in advance, thereby improving the safety of caisson construction and ensuring the safety of construction personnel and equipment.

[0132] In one embodiment, the correction and recovery module 5 includes:

[0133] Solution library construction unit, used to build anomaly category-correction solution library based on historical correction data,

[0134] Among them, the abnormal category-correction solution library includes abnormal categories and corresponding correction solutions;

[0135] A solution generation unit, used to obtain the abnormal category of the caisson posture and retrieve the corresponding correction solution in the abnormal category-correction solution library;

[0136] An adjustment value determination unit, used to determine the adjustment value of the caisson attitude parameter based on the correction scheme corresponding to the abnormal category of the caisson attitude;

[0137] A deviation correction adjustment unit, used to adjust the force distribution on the side wall of the caisson according to a deviation correction scheme based on the caisson attitude parameter adjustment value;

[0138] The third acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system for the third time after the adjustment is completed, so as to obtain the third data of the caisson;

[0139] The deviation correction and re-inspection unit is used to determine whether the deviation correction and recovery is completed based on the third data of the caisson.

[0140] The working principle and beneficial effects of the above technical solution are:

[0141] The solution library construction unit constructs an abnormal category - correction solution library based on historical data and retrieves the corresponding correction solution. For example, "the torsion angle of the caisson is too large" retrieves "biased excavation and biased filling change the stress distribution of the side wall of the caisson". The adjustment value determination unit calculates the adjustment value of the caisson attitude parameter according to the correction solution, and calculates the excavation amount at points E, F, G and H of the caisson according to the specific geometric structure of the caisson to change the stress distribution of the caisson. The correction adjustment unit performs specific correction. The third acquisition unit and the correction re-inspection unit re-inspect the correction to check whether it is completed.

[0142] The embodiment of the present invention performs correction adjustment and re-inspection according to the abnormality type, so that the abnormality type provides a fast correction solution and improves the correction efficiency.

[0143] In one embodiment, a caisson posture real-time monitoring system for soft soil formations further includes:

[0144] The soft soil caisson positioning module is used to control the caisson to reach the set elevation and determine whether it is in place when the caisson sinks into the soft soil layer;

[0145] Among them, the soft soil caisson placement module includes:

[0146] The fourth acquisition unit is used for sinking the caisson into the soft soil layer, stopping the caisson excavation and respectively acquiring the coordinates of the four monitoring points in the world coordinate system at the first moment to obtain the fourth data of the caisson;

[0147] A first elevation unit, used for determining a first elevation of the caisson based on the fourth caisson data;

[0148] A fifth acquisition unit is used to respectively acquire the coordinates of the four monitoring points on the world coordinate system at a second moment after any time period of the first moment to obtain fifth caisson data;

[0149] A second elevation unit, used for determining a second elevation of the caisson based on the fifth caisson data;

[0150] A sinking speed determining unit, used to determine the sinking speed of the caisson based on the first elevation of the caisson and the second elevation of the caisson;

[0151] A uniform sinking control unit is used to determine the construction speed of the caisson based on the self-sinking speed of the caisson, so that the caisson sinks at a uniform speed according to a set first sinking speed;

[0152] The sinking speed adjustment unit is used to change the force distribution on the side wall of the caisson when the elevation of the caisson reaches the set elevation, so that the sinking speed of the caisson is 0;

[0153] The sixth acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system to obtain the sixth data of the caisson;

[0154] an in-position judgment unit, used for confirming the posture parameters of the caisson based on the sixth caisson data and judging whether the posture parameters of the caisson meet the caisson posture parameter rules in the caisson rule library; if they meet the caisson posture parameter rules in the caisson rule library, the caisson is in position; if not, the caisson is corrected;

[0155] Wherein, the sinking speed adjustment unit includes:

[0156] The first force-bearing subunit is used to obtain the geological structure of the caisson within a certain distance from the set elevation, and measure the force distribution of the side wall of the caisson to obtain the first side wall force distribution;

[0157] The second force-bearing subunit is used to make a first adjustment to the force distribution of the side wall of the caisson, determine the second force distribution of the side wall, increase the friction between the caisson and the soft soil layer, and make the caisson sink according to the set second sinking speed;

[0158] The third force-bearing subunit is used to make a second adjustment to the force distribution of the side wall of the caisson when the elevation of the caisson reaches the set elevation, and determine the third side wall force distribution so that the sinking speed of the caisson is 0;

[0159] A stability judgment subunit, used to calculate the stability coefficient of the caisson based on the force distribution of the third side wall, and judge whether the stability coefficient of the caisson is less than a set stability coefficient threshold;

[0160] The stability adjustment subunit is used to determine the force distribution of the fourth side wall for the third adjustment if the stability coefficient of the caisson is less than the set stability coefficient threshold, so that the stability coefficient of the caisson is not less than the set stability coefficient threshold, otherwise no operation is performed.

[0161] The working principle and beneficial effects of the above technical solution are:

[0162] The soft soil caisson positioning module sets and controls the caisson to reach the specified elevation. Since the soil of the soft soil layer is relatively soft, the caisson is likely to exceed the set elevation when sinking normally. Therefore, it is necessary to set a reserve amount for the elevation. At the distance from one end of the elevation, the sinking speed is first slowed down, and then the sinking is accurately controlled to the set elevation and judged whether it is in place. The fourth acquisition unit collects the coordinates of the four monitoring points in the world coordinate system for the fourth time. The first elevation unit determines the first elevation H of the caisson. 1 The fifth acquisition unit acquires data for the fifth time after an arbitrary time period Δt, and the second elevation unit determines the second elevation H of the caisson. 2 , the sinking speed determination unit can determine the sinking speed is Because the caisson itself also has a self-sinking speed v 1 The uniform sinking control unit is based on the self-sinking speed v 1 , control the construction speed of the caisson so that the caisson sinks at the set first sinking speed, i.e. The sinking speed adjustment unit sinks at a uniform speed. When the elevation of the caisson reaches the set elevation H s When the caisson is in place, the force distribution of the side wall of the caisson is changed, that is, the supporting force of the caisson in the soft soil layer and the friction force of the side wall are balanced with the gravity of the caisson, so that the sinking speed of the caisson is 0. After the caisson is in place, the sixth acquisition unit collects the sixth data of the caisson, and the in-place judgment unit makes an in-place judgment based on the sixth data of the caisson.

[0163] The sinking of the caisson needs to maintain force balance, and the sinking speed is changed by adjusting the force on the caisson. The first force-bearing subunit first determines the force distribution of the first side wall. The second force-bearing subunit makes the first adjustment based on the determined force distribution of the first side wall, so that the caisson sinks at the set second sinking speed, and the second sinking speed is less than the first sinking speed. The third force-bearing subunit further adjusts the second sinking speed so that the sinking speed is 0. The stability judgment subunit calculates the stability coefficient of the caisson. The stability coefficient includes the caisson's own parameters such as the wall thickness and depth of the well body, as well as the soft soil layer support parameters such as bearing capacity. The stability adjustment subunit adjusts the side wall force distribution based on the comparison result of the stability coefficient and the stability coefficient threshold to ensure that the stability coefficient is not less than the stability coefficient threshold. In this embodiment, the stability coefficient threshold is set to 1.

[0164] The embodiment of the present invention collects data to adjust the sinking speed of the caisson, so that the caisson can be stably positioned on the soft soil layer, thereby improving the accuracy of positioning. At the same time, the speed of the caisson is controlled and the stability coefficient is calculated to achieve caisson stability, thereby ensuring that the caisson accurately falls into the specified elevation.

[0165] In one embodiment, a caisson posture real-time monitoring system for soft soil formations further includes:

[0166] Sudden sinking warning module, used to collect sinking speed, construct sinking speed to determine warning level and send warning signal corresponding to the warning level;

[0167] Among them, the sudden sinking warning module includes:

[0168] The speed change unit is used to collect the sinking speed of the caisson and calculate the sinking speed change rate of the caisson;

[0169] A first judgment unit is used to judge whether the sinking speed change rate of the caisson exceeds a first rate threshold, and if it exceeds the first rate threshold, a second alarm message is issued and a personnel evacuation unit is started; if it does not exceed the first rate threshold, the second judgment unit is turned to;

[0170] The personnel evacuation unit is used to stop the caisson excavation, determine the force distribution of the fifth side wall based on the sinking speed change rate of the caisson, control the sinking speed of the caisson to reach the set safety speed, and guide the construction personnel to evacuate in an orderly manner;

[0171] A second judgment unit is used to judge whether the sinking speed change rate of the caisson exceeds a second rate threshold, and if it exceeds the second rate threshold, the caisson end resistance unit is started; if it does not exceed the second rate threshold, the process goes to a third judgment unit;

[0172] The caisson end resistance unit is used to increase the caisson working water level to a set water level and adjust the end resistance to a set end resistance value based on the corresponding relationship between the change in the caisson's sinking speed and the caisson's working water level;

[0173] A third judgment unit is used to judge whether the sinking speed change rate of the caisson exceeds a third rate threshold, and if it exceeds the third rate threshold, the caisson side resistance unit is started, and if it does not exceed the third rate threshold, no operation is performed;

[0174] The caisson side resistance unit is used to lower the working water level of the caisson to a set water level based on the relationship between the working water level of the caisson and the buoyancy of the caisson, and adjust the side resistance to the set side resistance value.

[0175] The working principle and beneficial effects of the above technical solution are:

[0176] Due to the support of the soft soil layer on the caisson, the sudden sinking phenomenon of the caisson is prone to occur. The sudden sinking phenomenon will cause a large amount of sand to surge, which will cause operational hazards to the operators. Therefore, hierarchical management is carried out according to the speed change. The speed change unit determines the sinking speed change rate of the caisson. The first judgment unit determines whether the sinking speed change rate exceeds the first rate threshold. When it exceeds the first rate threshold, emergency treatment is required due to the excessive sinking speed, and the personnel evacuation unit is started. The personnel evacuation unit quickly increases the sinking resistance through the force distribution of the fifth side wall according to the sinking speed, and guides the orderly evacuation of personnel. The second judgment unit determines whether the sinking speed change rate exceeds the second rate threshold. If it exceeds, the caisson end resistance unit is started. The caisson end resistance unit increases resistance at the caisson port to prevent a large amount of sand from surging. The third judgment unit determines whether it exceeds the third rate threshold. If it exceeds the third rate threshold, the caisson side resistance unit is started. The caisson side resistance unit reduces the caisson working water level to the set water level through the relationship between the working water level of the caisson and the buoyancy of the caisson, and adjusts the side resistance to the set side resistance value. However, the third judgment unit determines that the speed does not exceed the third threshold value. Since the speed change is relatively small, it does not belong to the sudden sinking phenomenon.

[0177] According to the fact that the soil city phenomenon is easy to occur in soft soil layers, the embodiment of the present invention constructs a sudden subsidence warning module, ensures the sudden subsidence warning mechanism, protects the personal safety of the staff, and copes with complex changes in the sinking speed.

[0178] In one embodiment, a caisson posture real-time monitoring system for soft soil formations further includes:

[0179] The neighboring object impact assessment module is used to determine the impact coefficient of the structures adjacent to the caisson on the caisson and adjust the sinking speed of the caisson according to the impact coefficient;

[0180] Among them, the neighborhood impact assessment module includes:

[0181] A neighbor object determination unit is used to collect images within a set distance from the caisson and identify several structures that affect the caisson;

[0182] Any structure influence unit, used to determine the influence coefficient of any structure on the caisson based on the volume of any structure affecting the caisson and the orientation and distance between any structure and the caisson;

[0183] The comprehensive influence coefficient unit is used to simulate a regular hexagon based on the position of the caisson, with the origin of the world coordinate system as the center and the horizontal plane as the xy axis, and mark the influence coefficient of any structure on the caisson on the regular hexagon according to the orientation between any structure and the caisson to determine the comprehensive influence coefficient;

[0184] The neighboring object speed adjustment unit is used to adjust the sinking speed and direction of the caisson based on the comprehensive influence coefficient and the proportional relationship between the comprehensive influence coefficient and the sinking speed of the caisson.

[0185] The working principle and beneficial effects of the above technical solution are:

[0186] Since the caisson is in a soft soil layer, nearby targets will affect the sinking of the caisson, especially the structures on the soft soil layer. Therefore, it is necessary to consider the structures within the scope of influence of the caisson construction. The neighbor determination unit in the neighbor impact assessment module collects images near the caisson and identifies several structures that affect the caisson from the images. This embodiment is based on targets within 100 meters near the caisson, for example, including: trees, buildings and carports. Since trees and carports have little impact on the caisson, they are not considered. Therefore, the building is used as a structure that affects the caisson and is used as an identification target. The any structure impact unit determines the impact coefficient of any structure on the caisson based on the volume of any structure that affects the caisson and the orientation and distance between any structure and the caisson. For example, the volume of the first building is 100 square meters, the height is 10 meters, the orientation of the caisson is due east, and the distance is 20 meters. This embodiment calculates the impact coefficient of the first building on the caisson based on the bending moment of the first building on the orientation of the caisson and the elastic coefficient of the soft soil layer. The comprehensive influence coefficient unit simulates a regular hexagon according to the world coordinate system in the data acquisition module. In this embodiment, the influence coefficient of the first building is marked at the position due east of the regular hexagon. And the influence coefficients of the remaining buildings are marked in the regular hexagon in turn. The comprehensive influence coefficient of 1.16 is determined based on the regular hexagon. The neighbor speed adjustment unit adjusts the sinking speed and direction of the caisson according to the proportional relationship between the comprehensive influence coefficient and the sinking speed. For example, if the comprehensive influence coefficient is 1.16, the structure accelerates the sinking speed of the caisson, and the sinking speed of the caisson needs to be adjusted to 0.86 times the set speed. Then, based on the regular hexagon, the overall influence direction of the structure is determined. For example, the overall influence direction is due east of the caisson, so it is adjusted to the due east side of the caisson.

[0187] The embodiment of the present invention adjusts the sinking speed and direction of the caisson by taking into account the influence of the structure on the soft soil layer, so that the sinking speed of the caisson is more reasonable and the sinking stability of the caisson is maintained.

[0188] The present invention also provides a method for real-time monitoring of caisson posture in soft soil formations, which is characterized by comprising:

[0189] Step 1: Collect caisson data of caissons in soft soil formations;

[0190] Step 2: Determine the posture parameters of the caisson based on the caisson data;

[0191] Step 3: Based on the historical data, a posture prediction model is constructed and the posture parameters of the caisson are input into the posture prediction model to predict the future posture parameters of the caisson;

[0192] Step 4: Based on the future posture parameters, the future posture abnormality of the caisson is judged, and if it is judged to be abnormal, a first alarm message is issued;

[0193] Step 5: Based on the posture parameters of the caisson, make advance corrections to the caisson.

[0194] The working principle and beneficial effects of the above technical solution are:

[0195] Step 1: Collect caisson data in soft soil. Step 2: Determine the attitude parameters of the caisson, such as the tilt angle, torsion angle, etc. Step 3: Construct an attitude prediction model and input the attitude parameters of the caisson into the attitude prediction model to predict the future attitude parameters of the caisson. Step 4: Based on the future attitude parameters of the caisson, determine whether the future attitude of the caisson is abnormal. If abnormal, issue the first alarm message, otherwise no operation. Step 5: Based on the attitude parameters of the caisson, correct the caisson.

[0196] The embodiment of the present invention collects caisson data in soft soil layers, predicts and judges abnormalities of future posture parameters of the caisson data, and corrects them in time, thereby prejudging the caisson posture in advance and improving the early warning of deep well operations.

[0197] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A real-time monitoring system for caisson posture in soft soil formations, characterized in that: include: A data acquisition module, used to collect caisson data of caissons in soft soil formations; A data analysis module, used for determining the posture parameters of the caisson based on the caisson data; A posture prediction module, used to construct a posture prediction model based on historical data and input the posture parameters of the caisson into the posture prediction model to predict the future posture parameters of the caisson; an abnormal alarm module, used for judging abnormal future posture of the caisson based on the future posture parameter, and issuing a first alarm message if it is judged to be abnormal; The correction and recovery module is used to correct the caisson in advance based on the caisson's attitude parameters; The data acquisition module includes: A monitoring point selection unit is used to install several monitoring points at the caisson opening in soft soil; A coordinate system construction unit, used to construct a world coordinate system with the midpoint of a figure formed by connecting a number of monitoring points as the origin, the horizontal plane as the xy axis, and the vertical direction as the z axis; Also includes: The soft soil caisson positioning module is used to control the caisson to reach the set elevation and determine whether it is in place when the caisson sinks into the soft soil layer; Among them, the soft soil caisson placement module includes: The fourth acquisition unit is used for sinking the caisson into the soft soil layer, stopping the caisson excavation and respectively acquiring the coordinates of the four monitoring points in the world coordinate system at the first moment to obtain the fourth data of the caisson; A first elevation unit, used for determining a first elevation of the caisson based on the fourth caisson data; A fifth acquisition unit is used to respectively acquire the coordinates of the four monitoring points on the world coordinate system at a second moment after any time period of the first moment to obtain fifth caisson data; A second elevation unit, used for determining a second elevation of the caisson based on the fifth caisson data; A sinking speed determining unit, used to determine the sinking speed of the caisson based on the first elevation of the caisson and the second elevation of the caisson; A uniform sinking control unit is used to determine the construction speed of the caisson based on the self-sinking speed of the caisson, so that the caisson sinks at a uniform speed according to a set first sinking speed; The sinking speed adjustment unit is used to change the force distribution on the side wall of the caisson when the elevation of the caisson reaches the set elevation, so that the sinking speed of the caisson is 0; The sixth acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system to obtain the sixth data of the caisson; an in-position judgment unit, used for confirming the posture parameters of the caisson based on the sixth caisson data and judging whether the posture parameters of the caisson meet the caisson posture parameter rules in the caisson rule library; if they meet the caisson posture parameter rules in the caisson rule library, the caisson is in position; if not, the caisson is corrected; Wherein, the sinking speed adjustment unit includes: The first force-bearing subunit is used to obtain the geological structure of the caisson within a certain distance from the set elevation, and measure the force distribution of the side wall of the caisson to obtain the first side wall force distribution; The second force-bearing subunit is used to make a first adjustment to the force distribution of the side wall of the caisson, determine the second force distribution of the side wall, increase the friction between the caisson and the soft soil layer, and make the caisson sink according to the set second sinking speed; The third force-bearing subunit is used to make a second adjustment to the force distribution of the side wall of the caisson when the elevation of the caisson reaches the set elevation, and determine the third side wall force distribution so that the sinking speed of the caisson is 0; A stability judgment subunit, used to calculate the stability coefficient of the caisson based on the force distribution of the third side wall, and judge whether the stability coefficient of the caisson is less than a set stability coefficient threshold; The stability adjustment subunit is used to make a third adjustment if the stability coefficient of the caisson is less than the set stability coefficient threshold, determine the force distribution of the fourth side wall, so that the stability coefficient of the caisson is not less than the set stability coefficient threshold, otherwise no operation is performed.

2. The real-time monitoring system for caisson posture in soft soil as claimed in claim 1, characterized in that: The data acquisition module also includes: The first acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system for the first time to obtain the first data of the caisson; The second acquisition unit is used to respectively acquire the coordinates of the four monitoring points in the world coordinate system for a second time to obtain the second data of the caisson; A force data acquisition unit, used to collect force data of the caisson; The data summarizing unit is used to summarize the first caisson data, the second caisson data and the force data to obtain the caisson data.

3. The real-time monitoring system for caisson posture in soft soil as claimed in claim 1, characterized in that: Data analysis modules include: A displacement analysis unit, used for determining the position offset of the caisson based on the caisson data; A tilt analysis unit, used to determine the tilt angle change and tilt direction of the caisson based on the caisson data; A force analysis unit, used to determine the force distribution of the side wall of the caisson based on the force data; Elevation analysis unit, used to determine the elevation change of the caisson based on the caisson data The torsion analysis unit is used to determine the torsion change and torsion direction based on the caisson data.

4. The real-time monitoring system for caisson posture in soft soil as claimed in claim 1, characterized in that: The posture prediction module includes: A model building unit, used to build a posture prediction model; A model training unit, used to train a posture prediction model using historical data; The future prediction unit is used to input the posture parameters of the caisson into the trained posture prediction model to obtain the future posture parameters of the caisson.

5. The real-time monitoring system for caisson posture in soft soil as claimed in claim 1, characterized in that: The abnormal alarm module includes: A rule base construction unit is used to construct a caisson rule base based on historical data, wherein the caisson rule base includes caisson attitude parameter rules; The abnormality judgment unit is used to input the future posture parameters of the caisson into the caisson rule library for comparison, and judge whether the future posture parameters exceed the set threshold range. If they exceed the set threshold range, the future posture of the caisson is judged to be abnormal, otherwise no operation is performed; The alarm sending module is used to send out alarm information and send the corresponding caisson posture abnormality category when it is determined that the future posture of the caisson is abnormal.

6. A monitoring method for a caisson posture real-time monitoring system for soft soil formations as claimed in claim 1, characterized in that: include: Collect caisson data for caissons in soft soil formations; Determining attitude parameters of the caisson based on the caisson data; Based on the historical data, a posture prediction model is constructed and the posture parameters of the caisson are input into the posture prediction model to predict the future posture parameters of the caisson; Based on the future posture parameter, determining whether the future posture of the caisson is abnormal, and if it is determined to be abnormal, issuing a first alarm message; Based on the attitude parameters of the caisson, the caisson is corrected in advance; Also includes: When the caisson sinks to the soft soil layer, control the caisson to reach the set elevation and determine whether it is in place; When the caisson sinks to the soft soil layer, control the caisson to reach the set elevation and determine whether it is in place, including: The caisson sinks to the soft soil layer, stops digging the caisson, and collects the coordinates of the four monitoring points in the world coordinate system at the first moment to obtain the fourth data of the caisson; Determine the first elevation of the caisson based on the fourth data of the caisson; At a second moment after an arbitrary time period of the first moment, the coordinates of the four monitoring points in the world coordinate system are respectively collected to obtain the fifth data of the caisson; Based on the fifth data of the caisson, determine the second elevation of the caisson; Determining a sinking speed of the caisson based on the first elevation of the caisson and the second elevation of the caisson; Based on the self-sinking speed of the caisson, the construction speed of the caisson is determined so that the caisson sinks at a uniform speed according to the set first sinking speed; When the elevation of the caisson reaches the set elevation, the force distribution on the side wall of the caisson is changed so that the sinking speed of the caisson is 0; The coordinates of the four monitoring points in the world coordinate system are collected respectively to obtain the sixth data of the caisson; Confirm the posture parameters of the caisson based on the sixth data of the caisson and judge whether the posture parameters of the caisson meet the caisson posture parameter rules in the caisson rule library. If they meet the caisson posture parameter rules in the caisson rule library, the caisson is in place. If not, correct the caisson. When the elevation of the caisson reaches the set elevation, the force distribution on the side wall of the caisson is changed so that the sinking speed of the caisson is 0, including: Within a certain distance from the set elevation, the geological structure of the caisson is obtained, and the force distribution of the side wall of the caisson is measured to obtain the first side wall force distribution; The force distribution on the side wall of the caisson is adjusted for the first time, the force distribution on the second side wall is determined, and the friction between the caisson and the soft soil layer is increased, so that the caisson sinks according to the set second sinking speed; When the elevation of the caisson reaches the set elevation, the force distribution of the side wall of the caisson is adjusted for the second time to determine the third side wall force distribution so that the sinking speed of the caisson is 0; Based on the force distribution of the third side wall, the stability coefficient of the caisson is calculated, and it is determined whether the stability coefficient of the caisson is less than a set stability coefficient threshold; If the stability coefficient of the caisson is less than the set stability coefficient threshold, a third adjustment is performed to determine the force distribution of the fourth side wall so that the stability coefficient of the caisson is not less than the set stability coefficient threshold, otherwise no operation is performed.

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