A foundation pit engineering horizontal displacement control adjustment method, storage medium and equipment

Abstract

The present invention discloses a method, storage medium, and equipment for controlling the horizontal displacement of foundation pit engineering. The method includes: placing observation stakes at the four corners of the foundation pit, mounting a machine vision measuring instrument on each observation stake, and determining the azimuth of the machine vision measuring instrument; placing a fixed point on the extended line of the observation direction of each machine vision measuring instrument, and placing multiple target points to be measured on any side of the foundation pit; after a period of observation, obtaining the observed offset of each observation stake using the machine vision measuring instrument and calculating the distance change between the observation stakes; establishing an adjustment equation based on the observed offset of each observation stake and the distance change between the observation stakes; establishing a normal equation and a minimum norm condition, solving the adjustment equation, obtaining the optimal estimate of the observation stake displacement parameters, and correcting it to the observation data of the target points to be measured. This method effectively fills the gap in high-precision photogrammetry solutions in complex foundation pit environments.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering foundation pit monitoring, and in particular to a foundation pit engineering horizontal displacement control adjustment method, storage medium and equipment. Background Art

[0002] Against the backdrop of rapid socioeconomic development, foundation pit projects are becoming increasingly deep and extensive. These factors, combined with lengthy excavation times, complex construction procedures, and significant construction challenges, further compound the risks inherent in pit construction. These factors place increasing demands on the automation and informatization of foundation pit monitoring. Automated horizontal displacement monitoring, however, remains constrained by high costs, high precision requirements, and significant environmental influences. Consequently, a cost-effective, readily accessible solution remains unavailable.

[0003] Publication number CN218238722U describes an intelligent visual monitoring, analysis, and early warning system for foundation pit top displacement. An adjustable target is fixed to the top of the foundation pit, positioned opposite an intelligent visual recognition module. The intelligent visual recognition module is connected to an intelligent acquisition and control module via a wire, and the intelligent acquisition and control module is connected to a cloud platform via a network. The cloud platform analyzes and calculates the received data, comparing it with a set allowable deformation threshold. Different threshold intervals are marked with corresponding colors, and the different colors of the measuring points represent the safety status of the measuring points. Alarm information is then sent to designated recipients. The client is used to intuitively visualize the deformation and early warning information of each measuring point. However, this application does not reflect the specific observation errors and network layout, nor does it consider the adaptability of different measurement items to machine vision photogrammetry instruments. Therefore, data accuracy and reliability cannot be guaranteed in actual projects.

[0004] Publication No. CN103821126A discloses a method for monitoring the three-dimensional deformation of foundation pits. This method uses a machine vision measuring instrument to obtain monitoring photographs of the foundation pit slope surface. Close-range photogrammetry is then used to process the monitoring photographs and obtain the three-dimensional coordinates of monitoring points on the foundation pit slope surface. By taking photos at different times to obtain the three-dimensional coordinates at different time points, a trend chart of the three-dimensional coordinates of all monitoring points over time is plotted. The displacement of all monitoring points during the monitoring process is also obtained, thereby predicting the deformation trend of each monitoring point. However, this technical solution is limited by the uncontrollable position of the photographic viewpoint, and cannot guarantee consistent reciprocating observation accuracy, making it unsuitable for long-term, high-precision foundation pit monitoring.

[0005] In summary, the existing technology has explored the solution of applying photogrammetry to foundation pit monitoring from a macro perspective, but has not explored the photogrammetry observation data errors caused by factors such as overall settlement, tilt of observation equipment, and atmospheric refraction in the complex environment of foundation pit engineering. Summary of the Invention

[0006] In response to the problems existing in the prior art, the present invention provides a method, storage medium and equipment for horizontal displacement control adjustment of foundation pit engineering. The method for horizontal displacement control adjustment of foundation pit engineering effectively fills the gap in high-precision photogrammetry solutions in complex foundation pit environments, and provides strong support for the application of machine vision photogrammetry in foundation pit engineering.

[0007] To achieve the above technical objectives, the present invention adopts the following technical solution: a method for controlling horizontal displacement of foundation pit engineering, specifically comprising the following steps:

[0008] Step 1: Place observation piles at the four corners of the foundation pit. The four observation piles meet the line of sight conditions. Install a target for total station observation on each observation pile. Use the total station to collect the initial coordinates of the four observation piles. Then, calculate the lengths of the four sides of the foundation pit based on the initial coordinates of the four observation piles.

[0009] Step 2: Set up a machine vision measuring instrument on each observation pile and determine the azimuth angle of the machine vision measuring instrument;

[0010] Step 3: Place a fixed point on the extended line of the observation direction of each machine vision measuring instrument, and place multiple targets at the points to be measured on any side of the foundation pit;

[0011] Step 4: After observing for a period of time, the observation offset of each observation pile is obtained by a machine vision measuring instrument and the distance change value between the observation piles is calculated;

[0012] Step 5: Establish an adjustment equation based on the observation offset of each observation pile and the distance change value between observation piles;

[0013] Step 6: Establish the normal equation and the minimum norm condition, solve the adjustment equation, and obtain the optimal estimation result of the displacement parameters of the observation pile;

[0014] Step 7: Correct the optimal estimation result of the displacement parameter of the observation pile to the observation data of the target at the measured point.

[0015] Furthermore, the visibility condition is: the position 20 cm above the center of the top of the observation pile is used as the viewpoint, and there is no obstruction in the path connecting the four viewpoints.

[0016] Furthermore, the machine vision measuring instruments are named A, B, C, and D in counterclockwise order, and A aims at B, B aims at C, C aims at D, and D aims at A.

[0017] Furthermore, each fixed point can be observed on four machine vision measuring instruments.

[0018] Furthermore, the process of establishing the adjustment equation is as follows:

[0019] L A +v A =△KA ⊥AB +ε A △KB ⊥AB

[0020] L B +v B =△KB ⊥BC +ε B △KC ⊥BC

[0021] L C +v C =△KC ⊥CD +ε C △KD ⊥CD

[0022] L D +v D =△KD ⊥DA +ε D △KA ⊥DA

[0023] △AB+v1=△KA AB +△KB AB

[0024] △BC+v2=△KB Bc +△KC BC

[0025] △CD+v3=△KC CD +△KD CD

[0026] △DA+v4=△KD AD +△KA AD

[0027] Among them, L A Represents the observation data of machine vision measuring instrument A, L B represents the observation data of machine vision measuring instrument B, L C C represents the observation data of the machine vision measuring instrument, L D represents the observation data of D machine vision measuring instrument; v A Indicates L A Correction number, v B Indicates L B Correction number, v C Indicates L CCorrection number, v D Indicates L D Correction number; ε A The coefficient representing the conversion relationship between the offset of the observation value of machine vision measuring instrument A and the displacement of machine vision measuring instrument B perpendicular to the observation direction, ε B The coefficient representing the conversion relationship between the offset of the observation value of machine vision measuring instrument B and the displacement of machine vision measuring instrument C perpendicular to the observation direction, ε C The coefficient representing the conversion relationship between the offset of the observation value of the C machine vision measuring instrument and the displacement of the D machine vision measuring instrument perpendicular to the observation direction, ε D Indicates the conversion coefficient between the offset of the observation value of machine vision measuring instrument D and the displacement of machine vision measuring instrument A perpendicular to the observation direction; △AB indicates the observed change in the length of side AB, △BC indicates the observed change in the length of side BC, △CD indicates the observed change in the length of side CD, and △DA indicates the observed change in the length of side DA; v1 indicates the correction number of △AB, v2 indicates the correction number of △BC, v3 indicates the correction number of △CD, and v4 indicates the correction number of △DA; △KA ⊥AB Represents the displacement component of machine vision measuring instrument A perpendicular to the AB side, KB ⊥AB Indicates the displacement component of the B machine vision measuring instrument perpendicular to the AB side, △KB ⊥BC Indicates the displacement component of the B machine vision measuring instrument perpendicular to the BC side, △KC ⊥BC Indicates the displacement component of the C machine vision measuring instrument perpendicular to the BC side, △KC ⊥CD Indicates the displacement component of the C machine vision measuring instrument perpendicular to the CD edge direction, △KD ⊥CD Indicates the displacement component of the D machine vision measuring instrument perpendicular to the CD edge direction; △KA AB Indicates the displacement component of machine vision measuring instrument A parallel to the AB side, △KB AB Indicates the displacement component of the B machine vision measuring instrument parallel to the AB side, △KB BC Indicates the displacement component of the B machine vision measuring instrument parallel to the BC side, △KC BC Indicates the displacement component of the C-device visual measuring instrument parallel to the BC side, △KC CD Indicates the displacement component of the C machine vision measuring instrument parallel to the CD edge direction, △KD CD Indicates the displacement component of the D machine vision measuring instrument parallel to the CD edge direction, △KD AD Indicates the displacement component of the D machine vision measuring instrument parallel to the AD side, △KA AD It represents the displacement component of machine vision measuring instrument A parallel to the AD side.

[0028] Furthermore, the normal equation established in step 6 is:

[0029] The minimum norm condition is:

[0030] Among them, B represents the calculation parameter of the coordinate change of the observation pile converted to the displacement component of the observation direction of the machine vision measuring instrument, P represents the combination of the observation error of the machine vision measuring instrument itself and the side length measurement error coefficient, l represents the mean zero and variance Normally distributed observation error vector, Represents the optimal estimation result of the observed pile displacement parameters.

[0031] Furthermore, the process of obtaining the optimal estimation result of the displacement parameters of the observation pile is as follows:

[0032]

[0033] Where N represents the coefficient of the equation, N = B T PB.

[0034] Furthermore, the present invention also provides a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the horizontal displacement control adjustment method for foundation pit engineering.

[0035] Furthermore, the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for controlling and adjusting the horizontal displacement of the foundation pit engineering is implemented.

[0036] Compared with the prior art, the present invention has the following beneficial effects: the horizontal displacement control adjustment method of the foundation pit engineering of the present invention obtains plane information based on images through a machine vision measuring instrument, and calculates and analyzes the displacement deviation of the observation data in combination with an adjustment algorithm. Compared with simple photogrammetry, this method can provide higher monitoring accuracy and achieve more accurate displacement measurement; the horizontal displacement control adjustment method of the foundation pit engineering of the present invention adopts non-contact monitoring, does not require human intervention, and can quickly collect and process image data, which enables monitoring to be completed in a shorter time and can achieve real-time or near real-time displacement monitoring, thereby timely discovering and responding to changes in the horizontal displacement of the foundation pit. Compared with traditional physical measurement methods, the horizontal displacement control adjustment method of the foundation pit engineering based on the machine vision measuring instrument does not require a large amount of manpower and material resources, is simple to operate, and only requires the use of a machine vision measuring instrument for image acquisition and a calculation method for data processing and displacement calculation, which reduces the complexity and cost of the monitoring process and improves the efficiency and economy of monitoring. The horizontal displacement control adjustment method of the foundation pit engineering of the present invention is applicable to various foundation pit projects, including construction, underground engineering, civil engineering, etc., and has universal applicability regardless of whether it is a small foundation pit or a large foundation pit. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 Schematic diagram of the arrangement of the machine vision measuring instrument in the present invention;

[0038] Figure 2 The present invention is a flow chart of the horizontal displacement control adjustment method for foundation pit engineering. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be further explained below with reference to the accompanying drawings.

[0040] like Figure 2 This is a flow chart of the horizontal displacement control adjustment method for foundation pit engineering of the present invention, which specifically includes the following steps:

[0041] Step 1. Observation piles are placed at the four corners of the foundation pit. The four observation piles meet the visibility conditions: the position 20 cm above the center of the top of the observation pile is used as the viewpoint, and there is no obstruction in the path connecting the four viewpoints; a target for total station observation is installed on each observation pile to provide observation conditions for the machine vision measuring instrument; the total station is used to collect the initial coordinates of the four observation piles, and the lengths of the four sides of the foundation pit are obtained based on the initial coordinates of the four observation piles.

[0042] Step 2: Set up a machine vision measuring instrument on each observation pile and determine the azimuth angle of the machine vision measuring instrument; Figure 1 The machine vision measuring instruments are named A, B, C, and D in counterclockwise order, and A aims at B, B aims at C, C aims at D, and D aims at A.

[0043] Step 3: Place a fixed point on the extension line of the observation direction of each machine vision measuring instrument to ensure that each fixed point can be observed on the four machine vision measuring instruments, and place multiple targets of the points to be measured on any side of the foundation pit as objects for correction of the observation data.

[0044] Step 4: After observing for a period of time, obtain the observation offset of each observation pile through the machine vision measuring instrument and calculate the distance change value between the observation piles; the observation offset of each observation pile includes: displacement in the horizontal and vertical directions.

[0045] Step 5: Establish the adjustment equation based on the observation offset of each observation pile and the distance change between observation piles:

[0046] L A +v A =△KA⊥AB +ε A △KB ⊥AB

[0047] L B +v B =△KB ⊥BC +ε B △KC ⊥BC

[0048] L C +v C =△KC ⊥CD +ε C △KD ⊥CD

[0049] L D +v D =△KD ⊥DA +ε D △KA ⊥DA

[0050] △B+v1=△KA AB +△KB AB

[0051] △BC+v2=△KB BC +△KC BC

[0052] △CD+v3=△KC CD +△KD CD

[0053] △DA+v4=△KD AD +△KA AD

[0054] Among them, L A Represents the observation data of machine vision measuring instrument A, L B represents the observation data of machine vision measuring instrument B, L C C represents the observation data of the machine vision measuring instrument, L D represents the observation data of D machine vision measuring instrument; v A Indicates L A Correction number, v B Indicates L B Correction number, v C Indicates L C Correction number, v D Indicates L D Correction number; ε A The coefficient representing the conversion relationship between the offset of the observation value of machine vision measuring instrument A and the displacement of machine vision measuring instrument B perpendicular to the observation direction, ε BThe coefficient representing the conversion relationship between the offset of the observation value of machine vision measuring instrument B and the displacement of machine vision measuring instrument C perpendicular to the observation direction, ε C The coefficient representing the conversion relationship between the offset of the observation value of the C machine vision measuring instrument and the displacement of the D machine vision measuring instrument perpendicular to the observation direction, ε D Indicates the conversion coefficient between the offset of the observation value of machine vision measuring instrument D and the displacement of machine vision measuring instrument A perpendicular to the observation direction; △AB indicates the observed change in the length of side AB, △BC indicates the observed change in the length of side BC, △CD indicates the observed change in the length of side CD, and △DA indicates the observed change in the length of side DA; v1 indicates the correction number of △AB, v2 indicates the correction number of △BC, v3 indicates the correction number of △CD, and v4 indicates the correction number of △DA; △KA ⊥AB Represents the displacement component of machine vision measuring instrument A perpendicular to the AB side, KB ⊥AB Indicates the displacement component of the B machine vision measuring instrument perpendicular to the AB side, △KB ⊥BC Indicates the displacement component of the B machine vision measuring instrument perpendicular to the BC side, △KC ⊥BC Indicates the displacement component of the C machine vision measuring instrument perpendicular to the BC side, △KC ⊥CD Indicates the displacement component of the C machine vision measuring instrument perpendicular to the CD edge direction, △KD ⊥CD Indicates the displacement component of the D machine vision measuring instrument perpendicular to the CD edge direction; △KA AB Indicates the displacement component of machine vision measuring instrument A parallel to the AB side, △KB AB Indicates the displacement component of the B machine vision measuring instrument parallel to the AB side, △KB BC Indicates the displacement component of the B machine vision measuring instrument parallel to the BC side, △KC BC Indicates the displacement component of the C-device visual measuring instrument parallel to the BC side, △KC CD Indicates the displacement component of the C machine vision measuring instrument parallel to the CD edge direction, △KD CD Indicates the displacement component of the D machine vision measuring instrument parallel to the CD edge direction, △KD AD Indicates the displacement component of the D machine vision measuring instrument parallel to the AD side, △KA AD It represents the displacement component of machine vision measuring instrument A parallel to the AD side.

[0055] Step 6: Establish the normal equation and the minimum norm condition, solve the adjustment equation, and obtain the optimal estimation result of the displacement parameters of the observation pile; specifically, the normal equation established in the present invention is: Used to solve the optimal fit relationship between observations and model parameters. This equation makes the error of the observations zero under the least squares criterion, thereby obtaining the optimal estimate of the unknown parameters of the model. Considering the normal equation coefficient matrix N = BT PB is a singular matrix and the equation has infinite solutions. Therefore, on the basis of the least squares criterion, the minimum norm condition needs to be added To ensure that the required adjustment value is optimal. Among them, B represents the calculation parameter of the displacement component of the observation direction of the observation pile coordinate change converted to the machine vision measuring instrument. The calculated value is obtained by the azimuth of the observation direction. The positive and negative relationship is determined by the position relationship of the side. The principle of positive inside the foundation pit and negative outside the foundation pit is adopted. P represents the combination of the observation error of the machine vision measuring instrument itself and the error coefficient of the side length measurement. According to the assumption of the least squares method, the observation value error satisfies the Gauss-Markov assumption, and l represents the mean zero and variance. Normally distributed observation error vector, Represents the optimal estimation result of the observed pile displacement parameters.

[0056] The process of obtaining the optimal estimation result of the displacement parameters of the observation pile in the present invention is as follows:

[0057]

[0058] Where N represents the coefficient of the equation, N = B T PB.

[0059] Step 7: Correct the optimal estimation result of the displacement parameter of the observation pile to the observation data of the target at the measured point.

[0060] The horizontal displacement control adjustment method for foundation pit engineering of the present invention is suitable for monitoring the horizontal displacement of foundation pits under the measurement conditions of machine vision photogrammetry instruments. It solves the problem of excessive observation data errors caused by factors such as the pitch and tilt of the observation instrument and the deformation of the observation reference point itself during the application of machine vision photogrammetry to foundation pit engineering, and improves the feasibility of machine vision photogrammetry replacing traditional horizontal displacement monitoring at foundation pit sites.

[0061] In one technical solution of the present invention, a computer-readable storage medium is provided, which stores a computer program, and the computer program enables a computer to execute the horizontal displacement control adjustment method of foundation pit engineering.

[0062] In one technical solution of the present invention, an electronic device is also provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the horizontal displacement control adjustment method for foundation pit engineering is implemented.

[0063] Example

[0064] Taking the project foundation pit as an example, the pit is nearly rectangular in shape, with an area of ​​2,235 square meters, a perimeter of 215 meters, and a depth of approximately 10.5 meters. Concrete observation piles with a diameter of 15 cm and a height of 150 cm were buried in the four corners of the pit. The initial coordinates of the four observation piles were collected using a total station:

[0065] Point A coordinates: 461.1575, 291.4429

[0066] Point B coordinates: 473.0562, 220.2408

[0067] Point C coordinates: 435.0554, 214.3112

[0068] Point D coordinates: 425.3936, 278.6754

[0069] By calculation, the distance Ki between the four observation piles is obtained (unit: meter):

[0070] AB side length K1: 72.1894 meters

[0071] BC side length K2: 38.4606 meters

[0072] CD side length K3: 65.0853 meters

[0073] DA side length K4: 37.9745 meters

[0074] Determine the azimuth[i] (unit: radians) of the machine vision measuring instrument's observation direction:

[0075] AB direction azimuth[1]: 4.87797 radians

[0076] BC direction azimuth[2]: 3.29638 radians

[0077] CD direction azimuth[3]: 1.719795 radians

[0078] DA direction azimuth[4]: 0.34289 radians

[0079] Install machine vision photogrammetry at four observation points, install targets on the top of the foundation pit piles, and set reference targets at a distance. Adjust the focus, exposure, and other parameters of the machine vision photogrammetry, and install four targets at the points to be measured in the observation direction of the C machine vision photogrammetry. Name them c1, c2, and c3, and record the distance matrix Ki of each target point from the C machine vision photogrammetry:

[0080] C1 distance: 23 meters

[0081] C2 distance: 35 meters

[0082] C3 distance: 45 meters

[0083] By calibrating the reference target and correcting the observation data, the initial value of the observation point is obtained after eliminating the influence of the pitch and tilt of the machine vision measuring instrument on the observation error.

[0084] After conducting comparative tests on the impact of the horizontal displacement of the machine vision measuring instrument itself on the observation targets at different distances, the correction coefficient equation (applicable to the range of 20 to 100 meters) was obtained:

[0085] ε i =1.18326*Ki^(-0.02944)-0.00333*Ki+0.177

[0086] Where Ki represents the distance between the four observation piles;

[0087] After a period of continuous observation, the deformation data ΔN observed by the four machine vision measuring instruments, the observation data ΔNc of the three target points c1, c2, and c3 to be measured (the observation data is taken perpendicular to the corresponding foundation pit edge, and positive values ​​indicate the direction into the pit, unit: meter), and the change in the length of the four sides ΔL are collected:

[0088] ΔN data: [0.00376, 0.00566, 0.00584, -0.00279]

[0089] ΔNc data: [0.0053, 0.0061, 0.0078]

[0090] The changes in the lengths of the four sides are calculated (unit: meter):

[0091] ΔL data: [0.00395, 0.00471, -0.00316, 0.00313]

[0092] According to the photogrammetric observation data and azimuth, the 8*8 deformation value component coefficient matrix B perpendicular to the observation direction of each point is calculated (representing the calculation parameters of the reference point coordinate change conversion machine vision measuring instrument observation direction displacement component):

[0093] B{1,1}=-cos(azimuth[1])*ε i ;

[0094] B{1,2}=cos(azimuth[1])

[0095]

[0096]

[0097] …………

[0098] B{7,8}=-cos(azimuth[3])

[0099] B{8,8}=cos(azimuth[3])

[0100] The calculation results are as follows:

[0101]

[0102] The observation matrix L is established based on the change in photogrammetric observation data and the change in side length:

[0103]

[0104]

[0105] According to the observation accuracy of machine vision photogrammetry, the error coefficient caused by the position deformation of the observation point due to random machine vision measuring instrument, and the distance observation accuracy of the total station, the observation data weight matrix P is established:

[0106] P{1,1}=(K1*0.005772-0.05384) 2 / (K1*0.005772-0.05384) 2

[0107] P{2,2}=(K2*0.005772-0.05384) 2 / (K1*0.005772-0.05384) 2

[0108] ………

[0109] P{7,7}=(K3*10 -3 +0.6) 2 / (K1*0.005772-0.05384) 2

[0110] P{8,8}=(K4*10 -3 +0.6) 2 / (K1*0.005772-0.05384) 2

[0111] The calculation results are as follows:

[0112]

[0113] Calculation equation coefficient matrix N:

[0114] N=B T PB

[0115] Compute the generalized inverse matrix D of an N*N matrix.

[0116] Calculate the correction matrix K_cor:

[0117] K cor =NDB T PL

[0118] Calculation results (unit: meter):

[0119] [0.00223,0.00679,0.00283,0.00516,

[0120] -0.00562,-0.00160,0.00377,0.00233]

[0121] Among them, the first four data represent the correction values ​​perpendicular to the machine vision photogrammetry observation direction, and the last four data represent the correction values ​​of the side length change.

[0122] According to the observed data ΔN (unit: meter):

[0123] ΔN data: [0.00376, 0.00566, 0.00584, -0.00279]

[0124] And the target distance Ki (unit: meter):

[0125] Ki data: [23,35,45]

[0126] Among them, the correction value of the displacement observation data of the machine vision measuring instrument where the observation target is located is 2.83mm.

[0127] Finally, the correction value of each target to be measured is calculated as follows (unit: mm):

[0128] Δmod = 2.83*ε i

[0129] =[3.34,3.19,3.07,2.90]

[0130] This data is reflected in actual observations, which shows that the machine vision measuring instrument itself has a certain displacement into the pit, causing the observation results to be smaller than the actual value.

[0131] Observation data of the test point before correction:

[0132] c1: 5.30 mm

[0133] c2: 6.10 mm

[0134] c3: 7.80 mm

[0135] Corrected observation data of the test point:

[0136] c1: 8.64 mm

[0137] c2: 9.29 mm

[0138] c3: 10.87 mm.

[0139] In the embodiments disclosed herein, computer storage media can be tangible media that can contain or store programs for use by or in conjunction with an instruction execution system, device, or apparatus. Computer storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. More specific examples of computer storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0140] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0141] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions based on the principles of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A method for controlling horizontal displacement of foundation pit engineering, characterized in that: The specific steps include: Step 1: Place observation stakes at the four corners of the foundation pit. Ensure that the four stakes meet visibility requirements. Install a target for total station observation on each stake. Use the total station to collect the initial coordinates of the four stakes. Calculate the lengths of the four sides of the foundation pit based on the initial coordinates of the four stakes. Use a viewpoint 20 cm above the center of the top of the stake to ensure that there are no obstructions in the path connecting the four viewpoints. Ensure that each fixed point can be observed by the four machine vision measuring instruments. Step 2: Set up a machine vision measuring instrument on each observation post and determine the azimuth of the machine vision measuring instrument; the machine vision measuring instruments are named A, B, C, and D in a counterclockwise order, and the A machine vision measuring instrument is aimed at the B machine vision measuring instrument, the B machine vision measuring instrument is aimed at the C machine vision measuring instrument, the C machine vision measuring instrument is aimed at the D machine vision measuring instrument, and the D machine vision measuring instrument is aimed at the A machine vision measuring instrument; Step 3: Place a fixed point on the extended line of the observation direction of each machine vision measuring instrument, and place multiple targets at the points to be measured on any side of the foundation pit; Step 4: After observing for a period of time, the observation offset of each observation pile is obtained by a machine vision measuring instrument and the distance change value between the observation piles is calculated; Step 5: Establish the adjustment equation based on the observation offset of each observation pile and the distance change between observation piles: L A +v A =△KA ⊥AB +e A △KB ⊥AB L B +v B =△KB ⊥BC +e B △KC ⊥BC L C +v C =△KC ⊥CD +e C △KD ⊥CD L D +v D =△KD ⊥DA +e D △KA ⊥DA △AB+v1=△KA AB +△KB AB <h2 style=";text-align:left;direction:ltr">△BC+v2=△KB<h2 style=";text-align:left;direction:ltr"> BC <h2 style=";text-align:left;direction:ltr"> +△KC<h2 style=";text-align:left;direction:ltr"> BC △CD+v3=△KC CD +△KD CD △DA+v4=△KD AD +△KA AD Among them, L A Represents the observation data of machine vision measuring instrument A, L B represents the observation data of machine vision measuring instrument B, L C C represents the observation data of the machine vision measuring instrument, L D represents the observation data of D machine vision measuring instrument; v A Indicates L A Correction number, v B Indicates L B Correction number, v C Indicates L C Correction number, v D Indicates L D Correction number; ε A The coefficient representing the conversion relationship between the offset of the observation value of machine vision measuring instrument A and the displacement of machine vision measuring instrument B perpendicular to the observation direction, ε B The coefficient representing the conversion relationship between the offset of the observation value of machine vision measuring instrument B and the displacement of machine vision measuring instrument C perpendicular to the observation direction, ε C The coefficient representing the conversion relationship between the offset of the observation value of the C machine vision measuring instrument and the displacement of the D machine vision measuring instrument perpendicular to the observation direction, ε D Indicates the conversion coefficient between the offset of the observation value of machine vision measuring instrument D and the displacement of machine vision measuring instrument A perpendicular to the observation direction; △AB indicates the observed change in the length of side AB, △BC indicates the observed change in the length of side BC, △CD indicates the observed change in the length of side CD, and △DA indicates the observed change in the length of side DA; v1 indicates the correction number of △AB, v2 indicates the correction number of △BC, v3 indicates the correction number of △CD, and v4 indicates the correction number of △DA; △KA ⊥AB Represents the displacement component of machine vision measuring instrument A perpendicular to the AB side, KB ⊥AB Indicates the displacement component of the B machine vision measuring instrument perpendicular to the AB side, △KB ⊥BC Indicates the displacement component of the B machine vision measuring instrument perpendicular to the BC side, △KC ⊥BC Indicates the displacement component of the C machine vision measuring instrument perpendicular to the BC side, △KC ⊥CD Indicates the displacement component of the C machine vision measuring instrument perpendicular to the CD edge direction, △KD ⊥CD Indicates the displacement component of the D machine vision measuring instrument perpendicular to the CD edge direction; △KA AB Indicates the displacement component of machine vision measuring instrument A parallel to the AB side, △KB AB Indicates the displacement component of the B machine vision measuring instrument parallel to the AB side, △KB BC Indicates the displacement component of the B machine vision measuring instrument parallel to the BC side, △KC BC Indicates the displacement component of the C-device visual measuring instrument parallel to the BC side, △KC CD Indicates the displacement component of the C machine vision measuring instrument parallel to the CD edge direction, △KD CD Indicates the displacement component of the D machine vision measuring instrument parallel to the CD edge direction, △KD AD Indicates the displacement component of the D machine vision measuring instrument parallel to the AD side, △KA AD Represents the displacement component of machine vision measuring instrument A parallel to the AD edge; Step 6: Establish the normal equation and the minimum norm condition, solve the adjustment equation, and obtain the optimal estimation result of the displacement parameters of the observation pile; Step 7: Correct the optimal estimation result of the displacement parameter of the observation pile to the observation data of the target at the measured point.

2. A foundation pit engineering horizontal displacement control adjustment method according to claim 1, characterized in that: The normal equation established in step 6 is: The minimum norm condition is: Among them, B represents the calculation parameter of the coordinate change of the observation pile converted to the displacement component of the observation direction of the machine vision measuring instrument, P represents the combination of the observation error of the machine vision measuring instrument itself and the side length measurement error coefficient, l represents the mean zero and variance Normally distributed observation error vector, Represents the optimal estimation result of the observed pile displacement parameters.

3. A foundation pit engineering horizontal displacement control adjustment method according to claim 2, characterized in that: The process of obtaining the optimal estimation result of the displacement parameters of the observation pile is as follows: Where N represents the coefficient of the equation, N = B T PB.

4. A computer-readable storage medium storing a computer program, characterized in that: The computer program enables the computer to execute the foundation pit engineering horizontal displacement control adjustment method as described in any one of claims 1 to 3.

5. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for controlling and adjusting the horizontal displacement of a foundation pit project as described in any one of claims 1 to 3 is implemented.

Images