Automatic Compensation System for Settlement and Deflection of Structure Passed through by Upper Open-Type Bundle Pipe Curtain

Abstract

The present invention discloses an automatic compensation system for the settlement and deflection of an upper-opening type bundled pipe curtain under-crossing structure. During the settlement monitoring period, monitoring nodes are divided at equal time intervals. The settlement amounts are obtained by using the settlement measurement points in each monitoring area, and the unit real-time monitoring curves are drawn. By setting the settlement threshold and the warning value, the real-time monitoring sub-curves located between the two are intercepted and analyzed to determine the potential risk areas. Based on the potential risk areas, the analysis of the quantity and the potential risk degree is carried out, and the potential settlement risk assessment work is carried out on the existing structure bottom plate. It not only identifies the potential risk areas on the existing structure bottom plate where significant settlement may occur, providing accurate position information for subsequent targeted treatment measures, but also further analyzes the potential risk areas on the existing structure bottom plate, and through quantitative risk assessment, comprehensively understands the overall settlement risk status of the existing structure bottom plate and timely issues risk warning signals.

Description

Technical Field

[0001] The present invention relates to the technical field of underground engineering construction, and particularly to an automatic compensation system for settlement and deflection of an upper-opening bundled pipe curtain undercrossing structure. Background Art

[0002] With the continuous advancement of urban underground space development, the upper-opening bundled pipe curtain construction method has been widely used in projects such as subway construction and underground passage construction. However, during the construction process, due to factors such as soil disturbance and changes in structural stress, there is a risk of local settlement in the bottom slab of the existing structure, which may in turn trigger a risk of deflection of the overall structure, seriously threatening the safety and normal use of the existing structure.

[0003] In the prior art, traditional monitoring and control methods are difficult to accurately and timely respond to such complex situations. Therefore, in this application, the settlement amounts of each monitoring area on the bottom slab of the existing structure are monitored in real time, potential risk areas where significant settlement may occur on the bottom slab of the existing structure are identified, used to evaluate the overall settlement risk status of the bottom slab of the existing structure, a risk warning signal is sent in a timely manner, based on the risk warning signal, a linear trend analysis is performed on multiple potential risk areas to obtain a linear analysis result, a fitting warning line is constructed correspondingly, and the remaining adjustment time is obtained. Based on the remaining adjustment time, the required jacking distance is obtained by averaging the real-time monitoring values of multiple potential risk areas, the urgent adjustment value is calculated through a formula, the urgent adjustment amount is obtained, and the original jacking speed is adjusted to solve the problem that due to the settlement risk in the local area of the bottom slab of the existing structure, the overall structure deflects. Summary of the Invention

[0004] The purpose of the present invention is to provide an automatic compensation system for settlement and deflection of an upper-opening bundled pipe curtain undercrossing structure to solve at least one of the above-mentioned prior art problems.

[0005] The automatic compensation system for settlement and deflection of an upper-opening bundled pipe curtain undercrossing structure includes the following modules:

[0006] Potential identification module: During the settlement monitoring period, multiple monitoring areas on the bottom slab of the existing structure are monitored in real time to obtain a potential analysis signal, and based on the potential analysis signal, a settlement prediction analysis is performed to obtain potential risk areas;

[0007] Risk warning module: Based on the potential risk areas, a potential settlement risk assessment is performed on the bottom slab of the existing structure to obtain potential assessment data, the potential assessment data is calculated and processed, an assessment risk value is output, and compared with an assessment risk threshold. If the assessment risk value is greater than the assessment risk threshold, a risk warning signal is generated;

[0008] Emergency analysis module: Based on risk warning signals, analyze the settlement trends of multiple potential risk areas to obtain Pearson coefficients, conduct linear correlation analysis based on the Pearson coefficients, output the warning emergency value, compare it with the warning emergency threshold, and obtain the warning emergency signal;

[0009] Emergency treatment module: Based on the warning emergency signal, obtain the urgent adjustment value and adjust the original jacking speed.

[0010] Advantages of the present invention:

[0011] 1. During the settlement monitoring period of the present invention, monitoring nodes are divided at equal time intervals. The settlement amounts are obtained using the settlement measurement points in each monitoring area and the unit real-time monitoring curves are drawn. By setting the settlement threshold and warning value, the real-time monitoring sub-curves between the two are intercepted and analyzed to determine potential risk areas. Based on the potential risk areas, analysis is carried out on the quantity and potential risk degree, and potential settlement risk assessment of the existing structure floor slab is carried out. It not only identifies the potential risk areas on the existing structure floor slab where significant settlement may occur, providing accurate location information for subsequent targeted treatment measures, but also through further analysis of the potential risk areas on the existing structure floor slab, through quantitative risk assessment, comprehensively understands the overall settlement risk status of the existing structure floor slab and issues risk warning signals in a timely manner;

[0012] 2. For multiple potential risk areas, the present invention extracts their corresponding real-time monitoring sub-curves, calculates the fitting reference slope and equation of the line connecting the two endpoints of the real-time monitoring sub-curve, and conducts linear analysis on the real-time monitoring sub-curve using the Pearson coefficient to obtain the linear analysis result. Based on the linear analysis result, fitting warning lines are constructed respectively to obtain the warning emergency value, so as to reflect the remaining adjustment time according to the warning emergency value, improve the initiative and timeliness in dealing with settlement risks, and help to plan in advance and implement effective adjustment measures in a timely manner;

[0013] 3. The present invention obtains the required jacking distance by averaging the real-time monitoring values of multiple potential risk areas, and then combines the warning emergency value to calculate the urgent adjustment value through a formula, obtains the urgent adjustment amount, and adjusts the original jacking speed, which helps to timely correct the deflection trend caused by local settlement risks of the structure and solve the problem that the overall structure deflects due to the settlement risks in local areas of the existing structure floor slab. Description of the Drawings

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

[0015] Figure 1 It is the main structure diagram of the automatic compensation device for the settlement and deflection of the upper-opening type bundled pipe curtain under-crossing structure of the present invention;

[0016] Figure 2 It is the overall structure diagram of the bundled pipe curtain and the distribution diagram of settlement measurement points;

[0017] Figure 3 It is the flowchart of the automatic compensation method for the settlement and deflection of the upper-opening type bundled pipe curtain under-crossing structure of the present invention;

[0018] Figure 4 It is the flowchart of the method for regulating the jacking speed of the present invention;

[0019] Figure 5 It is the system diagram of the automatic compensation for the settlement and deflection of the upper-opening type bundled pipe curtain under-crossing structure of the present invention;

[0020] Figure 6 It is the internal view of the regulation center;

[0021] The reference numerals in the main structure diagram are as follows:

[0022] 1 is an intelligent self-locking jack, 2 is a force measuring sensor, 3 is a backing plate, 4 is the bottom plate of the existing structure, 5 is the interlayer soil, 6 is a grouting pipe, 7 is a stiffening rib, 8 is a steel support, 9 is a prestressed steel strand anchor, 10 is a prestressed steel strand, 11 is C50 concrete, 12 is a displacement gauge, 13 is a wireless intelligent electronic level, 14 is a high-pressure oil pipe, 15 is a numerical control oil pump, 16 is a regulation center, 17 is a bottom plate settlement measurement point, 18 is a reserved hole, 191 is a processor, 192 is a memory, and 193 is a computer program. Specific embodiments

[0023] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0024] Embodiment 1

[0025] Referring to Figure 1 - Figure 2 , the embodiment of the present invention provides an automatic compensation system for the settlement and deflection of the upper-opening type bundled pipe curtain under-crossing structure, including an automatic compensation jacking device, a data acquisition unit, and a regulation center 16;

[0026] Specifically, the automatic compensation jacking device includes a smart self-locking jack 1, a high-pressure oil pipe 14, a numerical control oil pump 15, and a backing plate 3;

[0027] More specifically, the smart self-locking jack 1 is installed inside the bundled pipe curtain working pipe, is wirelessly connected to the control center 16, and the smart self-locking jacks 1 are arranged in a single row along the axial direction of the pipe curtain in each working pipe at an interval of 0.5 m;

[0028] The numerical control oil pump 15 is connected to the smart self-locking jack 1 through the high-pressure oil pipe 14 to complete hydraulic transmission. Among them, the transmitted hydraulic value is regulated by the control center 16;

[0029] The backing plate 3 is installed between the force measuring sensor 2 and the existing structure bottom plate 4 to conduct the pressure of the smart self-locking jack 1 and prevent damage to the existing structure bottom plate 4 caused by excessive stress;

[0030] Specifically, the data acquisition unit includes a displacement meter 12, a wireless intelligent electronic level 13, and a force measuring sensor 2;

[0031] More specifically, the displacement meters 12 are evenly distributed along the axial direction of the bundled pipe curtain at the existing structure bottom plate 4, and the interval between the displacement meters 12 is 0.5 m, and they are all wirelessly connected to the control center 16 to transmit the settlement of each measurement point in real time;

[0032] The wireless intelligent electronic level 13 is installed at the center of the existing structure bottom plate 4. It should be leveled first before installation, and is wirelessly connected to the control center 16 to monitor the deflection of the existing structure in real time;

[0033] The force measuring sensor 2 is installed between the piston of the smart self-locking jack 1 and the backing plate 3, and is wirelessly connected to the control center 16 to transmit the jack pressure value in real time;

[0034] Specifically, the control center 16 is wirelessly connected to the displacement meter 12, the wireless intelligent electronic level 13, and the force measuring sensor 2, and is connected to the numerical control oil pump 15 through an electric control cable;

[0035] After obtaining the data transmitted by the data acquisition unit, the control center 16 can synchronously display the jack pressure value, the settlement of each measurement point of the existing structure bottom plate 4, and its overall deflection degree. The operator can control the jack pressure value and the piston displacement through the control center 16;

[0036] There is a steel support 8 on the side of the stiffening rib 7. There is a prestressed steel strand 10 on the outer ring surface of the prestressed steel strand anchor 9. There is a C50 concrete 11 on the outer ring surface of the prestressed steel strand 10.

[0037] Embodiment 2

[0038] Refer to Figure 3, an embodiment of the present invention provides an automatic compensation method for the settlement and deflection of an upper-opening type bundled pipe curtain under-crossing structure, including:

[0039] S1: Complete the jacking construction of the bundled pipe curtain;

[0040] S2: Install in sequence along the working pipe of the bundled pipe curtain in the order of the intelligent self-locking jack 1, the force measuring sensor 2, and the backing plate 3, and connect the intelligent self-locking jack 1 and the numerical control oil pump 15 with the high-pressure oil pipe 14. Each automatic compensation jacking device is arranged in a single row at an interval of 0.5 m along the axial direction of the pipe curtain;

[0041] S3: Install the displacement gauge 12, arrange the displacement gauge 12 in a single row at an interval of 0.5 m along the axial direction of the pipe curtain at the bottom plate 4 of the existing structure, and install a wireless intelligent electronic level 13 at the center of the top plate of the existing structure;

[0042] S4: Connect the high-pressure oil pump to the control center 16 through the electric control cable, and adjust the automatic compensation jacking device to apply a pre-jacking force of 5 kN;

[0043] S5: Excavate the soil inside the bundled pipe curtain and carry out the main structure construction. During this process, adjust the pressure and piston displacement of each intelligent self-locking jack 1 in the control center 16 according to the data returned by the data acquisition unit, and control the generation and development of the settlement and deflection of the upper structure;

[0044] S6: After the construction is completed, grout and reinforce the interlayer soil 5 through the grouting pipe 6 and fill the gaps;

[0045] S7: After the grout solidifies and reaches the design strength, each intelligent self-locking jack 1 is slowly depressurized simultaneously, and the automatic compensation jacking device is recycled through the reserved hole 18. After that, the displacement gauge 12 and the wireless intelligent electronic level 13 installed at the bottom plate 4 of the existing structure are recycled.

[0046] Embodiment Three

[0047] Figure 4The following is a flowchart of the automatic compensation method for the settlement and deflection of the upper-opening bundled pipe curtain underpass structure provided in the first embodiment of the present invention. The embodiments of the present invention are applicable to identifying whether there are potential settlement risks in multiple monitoring areas on the bottom slab of the existing structure. The automatic compensation method for the settlement and deflection of the upper-opening bundled pipe curtain underpass structure can be executed by the automatic compensation system for the settlement and deflection of the upper-opening bundled pipe curtain underpass structure. The automatic compensation system for the settlement and deflection of the upper-opening bundled pipe curtain underpass structure can be implemented by software and / or hardware, and can be configured in the automatic compensation device for the settlement and deflection of the upper-opening bundled pipe curtain underpass structure. Optionally, the automatic compensation device for the settlement and deflection of the upper-opening bundled pipe curtain underpass structure can be an electronic device, which can be a notebook, a desktop computer, a smart tablet, etc. The embodiments of the present invention do not limit this.

[0048] As Figure 4 shown, the automatic compensation method for the settlement and deflection of the upper-opening bundled pipe curtain underpass structure provided in the embodiments of the present invention specifically includes the following steps:

[0049] Step 1: During the settlement monitoring period, perform real-time monitoring on multiple monitoring areas on the bottom slab of the existing structure to obtain settlement monitoring data. Among them, the settlement monitoring data includes the settlement amount. Perform settlement prediction analysis on the settlement monitoring data to obtain potential risk areas;

[0050] It should be noted that a settlement measuring point is set in each monitoring area, and the monitoring area is monitored in real time through the settlement measuring point;

[0051] In some embodiments, the settlement monitoring period is divided into several monitoring nodes. Arbitrarily select a monitoring area, and obtain the settlement amount of the settlement measuring point at the monitoring node in real time. Establish a two-dimensional coordinate system, with the X-axis being time and the Y-axis being the settlement amount. Mark the obtained settlement amount in sequence on the two-dimensional coordinate system according to the time series of the monitoring nodes to obtain the unit real-time monitoring curve;

[0052] It should be noted that the settlement monitoring period is divided in such a way that the settlement monitoring period is divided at equal time intervals;

[0053] On the unit real-time monitoring curve, mark the settlement threshold on the Y-axis, and use it as the starting point to draw a straight line parallel to the X-axis as the settlement threshold line;

[0054] On the unit real-time monitoring curve, mark the settlement warning value on the Y-axis, and use it as the starting point to draw a straight line parallel to the X-axis as the settlement warning line;

[0055] It should be noted that the settlement threshold is set by professionals in the field based on experience and is an empirical value;

[0056] The settlement warning value is set by professionals in the field in the force sensor according to experience and is an empirical warning value, and the settlement warning value is less than the settlement threshold;

[0057] Intercept the part of the real-time monitoring curve that is above the settlement warning line and below the settlement threshold line as the real-time monitoring sub-curve;

[0058] Obtain the coordinate points on the real-time monitoring sub-curve, and perform real-time distance measurement on the coordinate points on the real-time monitoring sub-curve obtained in real time with the settlement threshold line to obtain the real-time monitoring value;

[0059] Compare the real-time monitoring value with the real-time monitoring threshold, and the process is as follows:

[0060] If the real-time monitoring value is greater than or equal to the real-time monitoring threshold, a potential analysis signal is generated;

[0061] If the real-time monitoring value is less than the real-time monitoring threshold, continue to maintain the real-time monitoring distance measurement;

[0062] It should be noted that the real-time monitoring threshold is obtained by taking the difference between the settlement threshold and the settlement warning value;

[0063] Based on the potential analysis signal, extract the length of the real-time monitoring sub-curve and calculate the ratio with the total length of the unit real-time monitoring curve to obtain the real-time analysis length;

[0064] It can be understood that the meaning represented by the real-time analysis length is: calculating the proportion of the length of the divided real-time monitoring sub-curve in the total length of the unit real-time monitoring curve to obtain the real-time analysis length. Specifically, it reflects the proportion of the time during which the settlement amount in the monitoring area is between the warning value and the threshold value in the entire monitoring cycle time, and can be used to assist in evaluating the proportion of the time during which the monitoring area is in a potential risk state during the entire monitoring cycle, thereby providing a reference basis for judging whether the monitoring area is a potential risk area, etc.;

[0065] Divide the real-time monitoring sub-curve into equal sub-curve lengths to obtain several analysis sub-curves;

[0066] Connect the two endpoints of the analysis sub-curve and calculate through the slope calculation formula to obtain the slope of the analysis sub-curve;

[0067] Sum up and average the slopes of all analysis sub-curves to obtain the real-time analysis change value;

[0068] It can be understood that the meaning represented by the real-time analysis change value is obtained by calculating the sum of the slopes of the divided analysis sub-curves and then taking the average value, which reflects the average rate of change of the settlement amount over time during the stage where the settlement amount in the monitored area is between the warning value and the threshold value. It can be used to evaluate the change trend characteristics of the monitored area in this settlement state, and further provide a reference basis for the analysis and judgment of potential risk areas;

[0069] Add the real-time analysis change value and the real-time analysis length to obtain the potential analysis value;

[0070] It can be understood that the meaning represented by the potential analysis value is: it reflects the settlement trend and severity of the monitored area, the real-time analysis length reflects the time proportion of the area in a state where a large settlement risk may be triggered within a certain monitoring period, and the real-time analysis change value reflects the average change speed of the settlement within this risk interval;

[0071] Compare the potential analysis value with the potential analysis threshold, and the process is as follows:

[0072] If the potential analysis value is greater than the potential analysis threshold, it means that the risk of significant settlement in the analyzed monitored area in the future is relatively high, and the analyzed monitored area is marked as a potential risk area;

[0073] If the potential analysis value is less than or equal to the potential analysis threshold, it means that the risk of significant settlement in the analyzed monitored area in the future is relatively low, and the analyzed monitored area is marked as a non-potential risk area;

[0074] Step 2: Based on the potential risk areas, conduct a potential settlement risk assessment on the existing structural floor slab to obtain potential assessment data. Among them, the potential assessment data includes the potential risk quantity and the potential risk degree. Calculate and process the potential assessment data, output the assessment risk value, and compare it with the assessment risk threshold. If the assessment risk value is greater than the assessment risk threshold, generate a risk warning signal;

[0075] In some embodiments, obtain the quantity of potential risk areas on the existing structural floor slab, and calculate the ratio with the total quantity of monitored areas on the existing structural floor slab to obtain the potential risk quantity;

[0076] It can be understood that the meaning represented by the potential risk quantity is: obtain the proportion of potential risk areas in the total quantity of monitored areas on the existing structural floor slab. Specifically, it reflects the proportion of all potential risk areas on the existing structural floor slab;

[0077] Extract the real-time monitoring values corresponding to the potential risk areas, and calculate the ratio with the real-time monitoring threshold to obtain the potential degree value;

[0078] Sum up the potential degree values corresponding to all potential risk areas and calculate the average value to obtain the overall degree value;

[0079] It can be understood that the meaning represented by the overall degree value is: sum up and calculate the average value of the potential degree values corresponding to all potential risk areas. Specifically, it reflects the average risk degree of all potential risk areas on the existing structural floor slab combined;

[0080] Multiply the overall degree value by the number of potential risks to obtain the evaluation risk value;

[0081] Compare the evaluation risk value with the evaluation risk threshold. The process is as follows:

[0082] If the evaluation risk value is greater than the evaluation risk threshold, it indicates that the proportion of potential risk areas on the existing structural floor slab is relatively large and the potential risk degree is relatively high, and a risk warning signal is generated;

[0083] If the evaluation and analysis value is less than or equal to the evaluation risk threshold, it indicates that the proportion of potential risk areas on the existing structural floor slab is relatively small and the potential risk degree is relatively low, and a continuous monitoring signal is generated;

[0084] The specific implementation manner of the embodiment of the present invention is: divide the monitoring nodes at equal time intervals during the settlement monitoring period, obtain the settlement amount by using the settlement measurement points in each monitoring area and draw the unit real-time monitoring curve. By setting the settlement threshold and the warning value, intercept the real-time monitoring sub-curve between the two and conduct analysis to determine the potential risk areas. Based on the potential risk areas, conduct analysis on the quantity and potential risk degree, and conduct the potential settlement risk assessment work on the existing structural floor slab. Not only identify the potential risk areas where significant settlement may occur on the existing structural floor slab, provide accurate location information for subsequent targeted treatment measures, but also through further analysis of the potential risk areas on the existing structural floor slab, through quantitative risk assessment, comprehensively understand the overall settlement risk status of the existing structural floor slab and issue risk warning signals in a timely manner.

[0085] Embodiment 4

[0086] Step 3: Based on the risk warning signal, conduct settlement trend analysis on multiple potential risk areas to obtain the Pearson coefficient, conduct linear correlation analysis based on the Pearson coefficient, output the warning emergency value, and compare it with the warning emergency threshold. If the warning emergency value is less than the warning emergency threshold, generate a warning emergency signal;

[0087] Exemplarily, arbitrarily obtain a potential risk area and extract the real-time monitoring sub-curve corresponding to the potential risk area;

[0088] Obtain the two endpoints of the real-time monitoring sub-curve, connect the two endpoints to obtain a fitting reference line, and substitute the endpoint coordinates corresponding to the two endpoints into the slope calculation formula: , to obtain the fitting reference slope , where n represents the total number of potential risk areas, represents the starting coordinate of the real-time monitoring sub-curve, represents the end coordinate of the real-time monitoring sub-curve, represents the Y-axis coordinate within the starting coordinate of the real-time monitoring sub-curve, represents the Y coordinate within the end coordinate of the real-time monitoring sub-curve, represents the X-axis coordinate within the starting coordinate of the real-time monitoring sub-curve, represents the X coordinate within the end coordinate of the real-time monitoring sub-curve;

[0089] Based on the fitting reference slope and the two endpoint coordinates of the real-time monitoring sub-curve, obtain the fitting reference equation: , where, is the Y-axis coordinate calculated by the fitting reference equation, is a constant;

[0090] Based on the fitting reference line, perform a linear analysis on the real-time monitoring sub-curve through the Pearson coefficient. The process is as follows:

[0091] S1. Obtain the coordinates of other data points on the real-time monitoring sub-curve except the endpoints, denoted as ( , ), = 1, 2, 3,......m, where m is the number of data points except the endpoints;

[0092] S2. Calculate the mean value of the X coordinates and calculate the mean value of the Y coordinates ;

[0093] S3. Calculate the covariance of X and Y ;

[0094] Calculate the standard deviation of X , calculate the standard deviation of Y ;

[0095] S4. According to the Pearson coefficient formula , calculate the Pearson coefficient r;

[0096] It can be understood that if r is close to 1, it indicates that there is a strong positive linear correlation between the real-time monitoring sub-curve and the fitting line, which is a positive linear sub-curve; if r is close to -1, it indicates that there is a strong negative linear correlation between the real-time monitoring sub-curve and the fitting line, which is a negative linear sub-curve; if r is close to 0, it indicates that the linear correlation between the real-time monitoring sub-curve and the fitting line is very weak, which is a non-linear sub-curve;

[0097] Subtract the Pearson coefficient r from 0 to obtain a linear determination value, and compare it with the linear determination threshold. The process is as follows:

[0098] If the linear determination value is greater than the linear determination threshold, the real-time monitoring sub-curve is a linear sub-curve;

[0099] If the linear determination value is less than or equal to the linear determination threshold, the real-time monitoring sub-curve is a non-linear sub-curve;

[0100] It should be noted that the linear determination threshold is set by professionals in this field based on experience and is an empirical value;

[0101] If the real-time monitoring sub-curve is a non-linear sub-curve, compare the slopes of all analysis sub-curves, extract the maximum slope of the analysis sub-curve, and combine it with the end point of the real-time monitoring sub-curve to draw a fitting warning line that intersects the settlement threshold line;

[0102] If the real-time monitoring sub-curve is a linear sub-curve, draw a fitting warning line that intersects the settlement threshold line based on the real-time analysis change value and the end point of the real-time monitoring sub-curve;

[0103] Obtain the X coordinate of the intersection point of the fitting warning line and the settlement threshold line, as well as the X coordinate of the end point of the real-time monitoring sub-curve, and take the difference and the absolute value to obtain the emergency duration;

[0104] Calculate the variance of the emergency durations corresponding to multiple potential risk areas to obtain a duration fluctuation value;

[0105] Compare the duration fluctuation value with the duration fluctuation threshold. The process is as follows:

[0106] If the duration fluctuation value is greater than the duration fluctuation threshold, it indicates that the emergency durations between multiple potential risk areas fluctuate greatly, and a large duration fluctuation signal is generated;

[0107] If the duration fluctuation value is less than or equal to the duration fluctuation threshold, it indicates that the emergency durations between multiple potential risk areas fluctuate slightly, and a small duration fluctuation signal is generated;

[0108] It should be noted that the duration fluctuation threshold is set by professionals in this field based on experience and is an empirical value;

[0109] Based on the signals with large duration fluctuations, obtain the Pearson coefficients corresponding to the potential risk areas, sum them up, and obtain the Pearson sum value;

[0110] Calculate the ratio of the emergency duration corresponding to the potential risk area to the Pearson sum value to obtain the weight coefficient;

[0111] Multiply the emergency duration corresponding to the potential risk area by the corresponding weight coefficient, sum them up, and obtain the warning emergency value;

[0112] Based on the signals with small duration fluctuations, sum up the emergency durations corresponding to multiple potential risk areas and take the average value to obtain the warning emergency value;

[0113] It can be understood that the meaning represented by the warning emergency value is: an index that comprehensively measures the settlement trend of multiple potential risk areas and measures the average remaining time buffer degree of the overall distance reaching the settlement threshold. Specifically, if the warning emergency value is larger, it means that there is a relatively long time left until the settlement threshold as a whole, and the situation is relatively less urgent. If the warning emergency value is smaller, it means that the overall distance to the settlement threshold is relatively close, and it is necessary to quickly initiate emergency measures to deal with the possible large settlement risk;

[0114] Compare the warning emergency value with the warning emergency threshold, and the process is as follows:

[0115] If the warning emergency value is greater than or equal to the warning emergency threshold, it means that the remaining adjustment time is sufficient, and a normal adjustment signal is generated;

[0116] If the warning emergency value is less than the warning emergency threshold, it means that the remaining adjustment time is urgent, and a warning emergency signal is generated;

[0117] The specific implementation scheme of the embodiment of the present invention is: extract the corresponding real-time monitoring sub-curves for multiple potential risk areas, calculate the fitting reference slope and equation of the line connecting the two endpoints of the real-time monitoring sub-curve, and perform linear analysis on the real-time monitoring sub-curve using the Pearson coefficient to obtain the linear analysis result. Based on the linear analysis result, construct the fitting warning lines respectively to obtain the warning emergency value, so as to reflect the remaining adjustment time according to the warning emergency value, improve the initiative and timeliness of dealing with the settlement risk, and help to plan in advance and implement effective adjustment measures in a timely manner.

[0118] Embodiment Five

[0119] Step Four: Based on the warning emergency signal, obtain the urgent adjustment value, and adjust the original jacking speed according to the urgent adjustment value to solve the problem that the overall structure deflects due to the settlement risk in the local area of the existing structure floor slab;

[0120] In some embodiments, the real-time monitoring values corresponding to multiple potential risk areas are summed and averaged to obtain the required jacking distance;

[0121] The required jacking distance and the warning emergency value are substituted into the formula, and through the formula: , the urgent adjustment value is calculated , where represents the required jacking distance, represents the warning emergency value;

[0122] The difference between the urgent adjustment value and the original jacking speed is obtained to get the urgent adjustment amount;

[0123] The specific implementation manner of the embodiment of the present invention is as follows: the required jacking distance is obtained by averaging the real-time monitoring values of multiple potential risk areas, and then combined with the warning emergency value, the urgent adjustment value is calculated through the formula, and the urgent adjustment amount is obtained, and the original jacking speed is adjusted, which helps to timely correct the deflection trend caused by the local settlement risk of the structure, and solves the problem that the overall structure deflects due to the settlement risk in the local area of the existing structure floor.

[0124] Embodiment Six

[0125] Referring to Figure 5 , the embodiment of the present invention provides an automatic compensation system for the settlement and deflection of the upper-opening type bundled pipe curtain under-crossing structure, including:

[0126] Potential identification module: During the settlement monitoring period, multiple monitoring areas on the existing structure floor are monitored in real time to obtain potential analysis signals, and based on the potential analysis signals, settlement prediction analysis is carried out to obtain potential risk areas;

[0127] Risk warning module: Based on the potential risk areas, potential settlement risk assessment is carried out on the existing structure floor to obtain potential assessment data, the potential assessment data is calculated and processed, the assessment risk value is output and compared with the assessment risk threshold. If the assessment risk value is greater than the assessment risk threshold, a risk warning signal is generated;

[0128] Emergency analysis module: Based on the risk warning signal, settlement trend analysis is carried out on multiple potential risk areas to obtain the Pearson coefficient, and linear correlation analysis is carried out based on the Pearson coefficient, the warning emergency value is output and compared with the warning emergency threshold to obtain the warning emergency signal;

[0129] Emergency processing module: Based on the warning emergency signal, the urgent adjustment value is obtained, and the original jacking speed is adjusted.

[0130] Embodiment Seven

[0131] Referring to Figure 6, An embodiment of the present invention further provides a computer device, including: a memory 192, a processor 191, and a computer program 193 stored on the memory 192. When the computer program 193 is executed on the processor 191, it implements the automatic compensation method for the settlement and deflection of the upper opening type bundled pipe curtain under-crossing structure as described in any one of the above methods.

[0132] The computer device may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The computer device may include, but is not limited to, the processor 191 and the memory 192. Those skilled in the art can understand that

[0133] Figure 6 merely examples of the computer device, which do not constitute a limitation to the computer device, and may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, etc.

[0134] The so-called processor 191 may be a central processing unit (CPU), and the processor 191 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0135] The memory 192 may be an internal storage unit of the computer device in some embodiments, such as the hard disk or memory of the computer device. The memory 192 may also be an external storage device of the computer device in other embodiments, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device. Further, the memory 192 may also include both the internal storage unit and the external storage device of the computer device. The memory 192 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 192 may also be used to temporarily store data that has been output or will be output.

[0136] Example 8

[0137] The embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it realizes the automatic compensation method for the settlement and deflection of the upper-opening type bundled pipe curtain under-crossing structure as described in any one of the above methods.

[0138] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above embodiment methods of the present application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above various method embodiments can be realized. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the photographing device / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium cannot be an electrical carrier signal and a telecommunication signal.

[0139] In the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0140] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0141] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal device and method can be implemented in other ways. For example, the apparatus / terminal device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another

[0142] point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0143] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0144] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0145] The above has described in detail an embodiment of the present invention, but the content described is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. An automatic compensation system for settlement and deflection of a structure under a top-opening bundled pipe curtain, characterized in that Including: Potential identification module: During the settlement monitoring period, it monitors multiple monitoring areas on the floor slab of the existing structure in real time through settlement measuring points, conducts settlement prediction analysis, and obtains potential risk areas; Risk warning module: Based on the potential risk areas, it conducts potential settlement risk assessment on the floor slab of the existing structure, outputs the evaluated risk value. If the evaluated risk value is greater than the evaluated risk threshold, a risk warning signal is generated; Emergency analysis module: Based on the risk warning signal, it conducts settlement trend analysis on multiple potential risk areas through the Pearson coefficient to obtain the emergency duration. Based on the emergency durations of multiple potential risk areas, it conducts analysis to obtain the warning emergency value, and compares it with the warning emergency threshold to obtain the warning emergency signal; Emergency treatment module: Based on the warning emergency signal, it obtains the urgent adjustment value and adjusts the original jacking speed; The process of real-time monitoring of settlement measuring points and settlement prediction analysis is as follows: Divide the settlement monitoring period into several monitoring nodes, randomly select a monitoring area, and construct a unit real-time monitoring curve based on the settlement amounts of the settlement measuring points obtained in real time at the monitoring nodes; In the coordinate system where the unit real-time monitoring curve is located, respectively draw the settlement threshold line and the settlement warning line; Intercept the part of the unit real-time monitoring curve that is above the settlement warning line and below the settlement threshold line as the real-time monitoring sub-curve; According to the coordinate points on the real-time monitoring sub-curve and the settlement threshold line, conduct distance measurement to obtain the real-time monitoring value; If the real-time monitoring value is greater than or equal to the real-time monitoring threshold, a potential analysis signal is generated; The process of identifying potential risk areas is as follows: Extract the length of the real-time monitoring sub-curve, and calculate the ratio with the total length of the unit real-time monitoring curve to obtain the real-time analysis length; Divide the real-time monitoring sub-curve into several analysis sub-curves; Based on the connection of the endpoints of the analysis sub-curves, obtain the analysis sub-line segments; Sum up and take the average of the slopes of all analysis sub-curves to obtain the real-time analysis change value; Sum up the real-time analysis change value and the real-time analysis length to obtain the potential analysis value; If the potential analysis value is greater than the potential analysis threshold, mark the analyzed monitoring area as a potential risk area; It also includes the following methods: Install along the working pipe of the bundled pipe curtain in the order of intelligent self-locking jacks, force sensors, and backing plates, and connect the intelligent self-locking jacks and the numerical control oil pump with high-pressure oil pipes. Each automatic compensation jacking device is arranged in a single row at intervals of 0.5 m along the axial direction of the pipe curtain; Arrange the displacement gauges in a single row at intervals of 0.5 m along the axial direction of the pipe curtain at the floor slab of the existing structure, and install a wireless intelligent electronic level at the center of the top slab of the existing structure; Connect the high-pressure oil pump to the control center through electric control cables; Excavate the soil inside the bundled pipe curtain and conduct the construction of the main structure. During this process, adjust the pressure and piston displacement of each intelligent self-locking jack in the control center according to the data returned by the data acquisition unit to control the generation and development of the settlement and deflection of the upper structure; Inject and reinforce the interlayer soil through the grouting pipe and fill the gaps, and recycle the automatic compensation jacking device through the reserved holes; 2. The automatic compensation system for settlement and deflection of the upper-opening type pipe-roof under-crossing structure according to claim 1, characterized in that The acquisition method of the risk warning signal is: Obtain the number of potential risk areas on the existing structure floor slab, and calculate the ratio with the total number of monitoring areas on the existing structure floor slab to obtain the potential risk quantity; Extract the real-time monitoring values corresponding to the potential risk areas, and calculate the ratio with the real-time monitoring threshold to obtain the potential degree value; Sum and average the potential degree values corresponding to all potential risk areas to obtain the overall degree value; Multiply the overall degree value by the potential risk quantity to obtain the evaluation risk value; If the evaluation risk value is greater than the evaluation risk threshold, generate a risk warning signal.

3. The automatic compensation system for settlement and deflection of the upper-opening type pipe roof under-crossing structure according to claim 1, wherein The process of settlement trend analysis is as follows: Extract the real-time monitoring sub-curves corresponding to the potential risk areas; Connect the two endpoints of the real-time monitoring sub-curve to obtain a fitted reference line and acquire the fitted reference slope , and combine the coordinates of the two endpoints of the real-time monitoring sub-curve to obtain the fitted reference equation: ; Based on the fitting reference equation, calculate the Pearson coefficient r; Subtract the Pearson coefficient r from 0 to obtain the linear determination value, and compare it with the linear determination threshold. The process is as follows: If the linear determination value is greater than the linear determination threshold, the real-time monitoring sub-curve is a linear sub-curve; If the linear determination value is less than or equal to the linear determination threshold, the real-time monitoring sub-curve is a non-linear sub-curve.

4. The automatic compensation system for settlement and deflection of the upper opening type pipe roof under-crossing structure according to claim 3, characterized in that The acquisition method of the emergency duration is: If it is a non-linear sub-curve, extract the maximum slope of the analysis sub-curve, and combine with the end point of the real-time monitoring sub-curve to draw a fitting warning line that intersects the settlement threshold line; If it is a linear sub-curve, based on the real-time analysis change value and the end point of the real-time monitoring sub-curve, draw a fitting warning line that intersects the settlement threshold line; Obtain the X coordinate of the intersection point of the fitting warning line and the settlement threshold line, and the X coordinate of the end point of the real-time monitoring sub-curve, and take the difference and the absolute value to obtain the emergency duration.

5. The automatic compensation system for settlement and deflection of the upper-opening type bundled pipe curtain under-passing structure according to claim 4, characterized in that Obtain the duration fluctuation value and analyze the duration fluctuation value. The process is as follows: Calculate the variance of the emergency durations corresponding to multiple potential risk areas to obtain the duration fluctuation value; If the duration fluctuation value is greater than the duration fluctuation threshold, generate a large duration fluctuation signal; If the duration fluctuation value is less than or equal to the duration fluctuation threshold, generate a small duration fluctuation signal.

6. The automatic compensation system for settlement and deflection of the upper-opening type bundled pipe curtain under-crossing structure according to claim 5, characterized in that, Analyze multiple potential risk areas. The process is as follows: If the duration fluctuation value is greater than the duration fluctuation threshold, generate a large duration fluctuation signal, obtain the Pearson coefficients corresponding to the potential risk areas, and sum them to obtain the Pearson sum value; Calculate the ratio of the emergency duration corresponding to the potential risk area to the Pearson sum value to obtain the weight coefficient; Multiply the emergency duration corresponding to the potential risk area by the corresponding weight coefficient, and sum and average to obtain the warning emergency value; If the duration fluctuation value is less than or equal to the duration fluctuation threshold, generate a small duration fluctuation signal, sum and average the emergency durations corresponding to multiple potential risk areas to obtain the warning emergency value.

7. The automatic compensation system for settlement and deflection of the upper-opening type pipe-sheet under-crossing structure according to claim 1, characterized in that Adjust the original jacking speed. The process is as follows: Sum and average the real-time monitoring values corresponding to multiple potential risk areas to obtain the required jacking distance; Substitute the required jacking distance and the early warning emergency value into the formula. Through the formula: , the urgent adjustment value is calculated , where represents the required jacking distance, represents the early warning emergency value; Subtract the urgent adjustment value from the original jacking speed to obtain the urgent adjustment amount.

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