Foundation engineering sediment detector based on physical sensor

Abstract

The invention relates to the field of foundation engineering detection, in particular to a foundation engineering sediment detector based on a physical sensor, which comprises an automatic coupling agent filling control module, a pile foundation sediment thickness analysis module, a foundation settlement early warning module, a standard penetration test module, a data association module and a comprehensive evaluation module, according to the system, coupling agent filling abnormal data and pile foundation hole sediment thickness abnormal data are analyzed and screened, a change curve of foundation settlement along with time is drawn, a threshold value is set to trigger early warning, and the penetration number and depth data are collected to determine the compactness grade of a foundation soil layer, so that a data association relation table is constructed, and visualization processing and presentation are carried out; meanwhile, the comprehensive evaluation score of the foundation is comprehensively calculated, the stability degree grade of the foundation is determined and fed back, the filling speed of the coupling agent is conveniently adjusted, the accuracy of pile foundation sediment thickness detection data is ensured, and the efficiency and practicability of foundation settlement monitoring and the standard penetrometer are improved.

Description

Technical Field

[0001] The present invention relates to the field of foundation engineering detection, and more specifically, it is a sediment detector for foundation engineering based on physical sensors. Background Art

[0002] In the context of the booming development of modern infrastructure construction, foundation engineering, as the foundation of building structures, directly determines the safety and durability of the entire project. However, the sediment problem generated during the construction process will seriously weaken the bearing capacity of the foundation. As the foundation of a building, the quality of the foundation directly determines the safety, durability and stability of the entire project. Once problems occur, it will trigger serious accidents such as building inclination, cracking or even collapse, causing huge economic losses and casualties. Therefore, foundation engineering detection, as a key link in controlling project quality, is not only a "firewall" to ensure the safety of building structures, but also an important support for promoting the sustainable development of the construction industry.

[0003] However, there are still many limitations in traditional foundation engineering detection. For example, the Chinese patent with the application number 202210744941.0 discloses a detection method for the bearing performance of soft soil foundations based on centrifuge model tests. Before the soft soil foundation reinforcement project starts, this scheme conducts model tests through centrifuge equipment, designs various soft clay reinforcement conditions, simulates the process of in-situ soil reinforcement in the project, and obtains a series of index changes during the soft clay reinforcement process, which can determine the mechanical properties of soft clay foundation reinforcement in many aspects.

[0004] However, this scheme has the following deficiencies: First, although this scheme uses an electrical measurement system and a photogrammetry system to collect data such as pore water pressure, earth pressure and displacement, it only focuses on some mechanical response indicators inside the soft soil foundation. For many other key parameters closely related to the bearing performance of the foundation, the lack of systematic collection may lead to large deviations in the prediction of foundation settlement and cannot accurately evaluate the change of the bearing performance of the foundation under long-term loads.

[0005] Second, in the data processing link, only conventional test analysis is carried out on the collected data to evaluate the bearing performance, lacking advanced data processing technologies and algorithms. On the one hand, no preprocessing such as filtering and noise reduction is carried out on the collected data, resulting in the influence of noise and interference signals mixed in the data on the accuracy of the analysis results. On the other hand, advanced technologies such as big data analysis and machine learning are not used to mine the potential information in the data, and the complex correlation relationships and change laws between the data cannot be discovered. Summary of the Invention

[0006] In order to overcome the shortcomings in the background art, the embodiments of the present invention provide a sediment detector for foundation engineering based on physical sensors, which can effectively solve the problems involved in the above background art.

[0007] The object of the present invention can be achieved by the following technical solutions: The present invention provides a sediment detector for foundation engineering based on physical sensors, including: a coupling agent automatic filling control module, which is used to obtain real-time flow rate data of the coupling agent, compare it with the preset filling speed, screen out abnormal filling data, and perform adjustment.

[0008] A pile foundation sediment thickness analysis module, which is used to obtain the sediment thickness of each pile foundation hole each time, calculate the deviation percentage of the sediment thickness of each pile foundation hole, and screen out abnormal sediment data.

[0009] A foundation settlement warning module, which is used to collect displacement data of the foundation at each time node, calculate the settlement amount of the foundation at each time node, draw a curve of the foundation settlement changing with time, and thus set a threshold to trigger a warning.

[0010] A standard penetration test module, which is used to penetrate the foundation soil layer, collect penetration blow count and depth data, determine the compactness grade of the foundation soil layer and give feedback.

[0011] A data association module, which is used to construct a data association relationship table, perform visualization processing and present it.

[0012] A comprehensive evaluation module, which is used to calculate the comprehensive evaluation score of the foundation, compare and determine the stability degree grade of the foundation and give feedback.

[0013] Preferably, the specific analysis method for screening abnormal filling data is as follows: Set the filling speed and dosage of the coupling agent according to the specifications of the pile foundation sonic logging tube and the detection requirements, operate the filling pump to fill the coupling agent. During the operation of the filling pump, obtain the real-time flow rate data of the coupling agent through a flow sensor, compare the real-time flow rate data with the preset filling speed, calculate the difference between the actual flow rate and the preset filling speed, and judge whether the difference exceeds the set allowable error range. If the difference between the actual flow rate and the target flow rate is within the set allowable error range, keep the current filling pump speed and valve opening unchanged, and continue to monitor the flow rate data. If the difference between the actual flow rate and the target flow rate exceeds the set allowable error range, regard it as abnormal filling data and enter the adjustment process.

[0014] Preferably, the specific analysis method of the adjustment process is as follows: According to the deviation degree between the actual flow rate and the target flow rate, use an adjustment algorithm to calculate the adjustment amount of the filling pump speed and valve opening. If the actual flow rate is lower than the preset filling speed, increase the speed and valve opening correspondingly. If the actual flow rate is higher than the preset filling speed, decrease the speed and valve opening correspondingly, and compare the actual flow rate again after adjustment to judge whether the adjusted flow rate meets the preset filling speed parameter requirements. Otherwise, repeat the above steps until the difference between the actual flow rate and the target flow rate is stable within the set allowable error range.

[0015] Preferably, the specific analysis method of the pile foundation sediment thickness analysis module is as follows: Lower the probe of the sediment thickness detector into each pile foundation hole through a hoisting device so that the probe reaches the bottom detection position of the hole. Transmit detection signals and receive reflected signals through the probe at fixed time intervals, and record the time intervals from the emission of the signals to the reception of the reflected signals for each detection, so as to obtain the original sediment thickness data for each detection of each pile foundation hole.

[0016] Perform filtering processing on the original sediment thickness data for each detection of each pile foundation hole to obtain the processed sediment thickness for each detection of each pile foundation hole. Obtain the sediment thickness of each pile foundation hole by calculating the average value thereof. Set the standard value of the sediment thickness, compare the sediment thickness of each pile foundation hole with the standard value of the sediment thickness one by one, and obtain the difference between the sediment thickness of each pile foundation hole and the standard value through subtraction operation, and then calculate the deviation percentage of the sediment thickness of each pile foundation hole.

[0017] Compare the deviation percentage of the sediment thickness of each pile foundation hole with the pre-set qualified range threshold. If the deviation percentage of the sediment thickness of a certain pile foundation hole exceeds the qualified range threshold, determine that the detection data of this pile foundation hole is abnormal sediment data and mark it.

[0018] Preferably, the specific analysis method of the curve of foundation settlement over time is as follows: Select several equally spaced monitoring points on the foundation. Use a steel tape settlement gauge to divide time nodes according to a pre-set fixed time interval. Collect the displacement data of the foundation at each time node through a displacement sensor. Based on the displacement data of the foundation at each time node and combining with the displacement data of the foundation at the previous time node, calculate the settlement amount of the foundation at each time node. Use each time node as the abscissa and the settlement amount of the foundation at each time node as the ordinate to draw the curve of foundation settlement over time.

[0019] Preferably, the specific analysis method of the foundation settlement warning module is as follows: Set the foundation settlement warning threshold. The warning threshold includes a primary warning threshold and a secondary warning threshold, and clearly define the corresponding warning levels and treatment measures for the primary warning threshold and the secondary warning threshold respectively. Read the real-time foundation settlement data from the curve of foundation settlement over time, and screen out the abnormal settlement data by comparing it with the foundation settlement warning threshold.

[0020] When the corresponding foundation settlement amount reaches or exceeds the primary warning threshold, the sound and light alarm device immediately emits a sound and light warning signal and sends a warning message including the current foundation settlement amount and the reached warning level. When the corresponding foundation settlement amount further exceeds the secondary warning threshold, strengthen the intensity of the warning signal and start the emergency plan push process to push the pre-developed treatment plan for the secondary warning situation to the terminal.

[0021] Preferably, the specific analysis method of the standard penetration test module is as follows: Set the detection depth, use the driving device to drive the penetrator to penetrate the foundation soil layer at the detection point. During the penetration process, continuously collect the penetration blow count and penetration depth, and when the penetrator penetrates a preset depth, pause the penetration, record the current cumulative penetration blow count and depth data, and obtain the cumulative penetration blow count corresponding to each depth until the set detection depth is reached.

[0022] Calculate the average blow count by taking the mean of them, read the average blow count ranges corresponding to each density grade of each soil type preset, extract the average blow count ranges corresponding to each density grade according to the foundation soil type, compare the average blow count with them, obtain the density grade of the foundation soil layer, and feedback it to the system.

[0023] Preferably, the specific analysis method of constructing the data correlation relationship table is as follows: Receive the filling abnormal data, sediment abnormal data, settlement abnormal data, and the density grade of the foundation soil layer respectively.

[0024] Classify and sort the received data according to the dimensions of detection time and detection location, and establish a data correlation relationship table.

[0025] Perform visualization processing on the data in the data correlation relationship table, and present the data in a visual way.

[0026] Preferably, the data correlation relationship table includes a unique identification field for identifying data, a detection time field for recording the detection time, and a detection location field for marking the detection location.

[0027] For each detection module, set at least one data field of numeric type, text type, or date type according to the data nature, for storing the generated specific data.

[0028] Among them, the unique identification field generates a unique number by combining the project number, timestamp, and location code. The detection time field adopts a unified time format, and the detection location field adopts a preset standard location code.

[0029] After constructing the data correlation relationship table, through the detection time field and detection location field, associate the data of different modules at the same time and location to form a complete data correlation relationship.

[0030] Preferably, the specific analysis method of the comprehensive evaluation module is as follows: Take the filling abnormality, sediment abnormality, settlement abnormality, and the density grade of the foundation soil layer as each index, use the analytic hierarchy process to determine their corresponding weights, and calculate the relative weights of each index by establishing a hierarchical structure model and constructing a judgment matrix.

[0031] Set grading thresholds for each index data, obtain the corresponding grading situation through comparison, and then perform quantitative scoring according to its grading situation.

[0032] Based on the relative weights and quantitative scores of each index, calculate the comprehensive evaluation score of the foundation, and compare it with the range of comprehensive evaluation scores corresponding to each stability level of the foundation preset in advance to obtain the stability level of the foundation engineering, and feedback on the stability level.

[0033] Compared with the prior art, the present invention has the following beneficial effects: First, by obtaining the real-time flow rate data of the coupling agent, comparing it with the preset filling speed, screening out abnormal filling data, and adjusting it, the present invention can timely detect and adjust abnormal filling, ensure the stable and timely filling speed of the coupling agent, and improve the accuracy and stability of detection.

[0034] Second, by obtaining the thickness of the sediment in each pile foundation hole each time and calculating the deviation percentage of the sediment thickness in each pile foundation hole, the present invention can screen out abnormal sediment data, effectively improve the accuracy of the detection data of the sediment thickness in the pile foundation, and provide a reliable basis for judging the engineering quality.

[0035] Third, by collecting the displacement data of the foundation at each time node, calculating the settlement amount of the foundation at each time node, and drawing the curve of the foundation settlement changing with time, the present invention can set a threshold to trigger an alarm, can monitor the foundation settlement situation in real time, discover potential risks in advance, and ensure the safety of the project.

[0036] Fourth, by penetrating into the foundation soil layer, collecting the penetration blow count and depth data, and determining and feedbacking the compactness level of the foundation soil layer, the present invention can determine the compactness level of the soil layer, which helps to accurately master the characteristics of the foundation soil layer and provide key references for engineering design and construction.

[0037] Fifth, by constructing a data correlation relationship table, performing visual processing and presentation, and comprehensively calculating the comprehensive evaluation score of the foundation, comparing and determining the stability level of the foundation and giving feedback, the present invention can comprehensively and quantitatively evaluate the overall condition of the foundation, facilitate taking corresponding measures in time, and ensure the safety and reliability of the foundation engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for describing the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0039] Figure 1 It is the system module connection diagram of the present invention.

[0040] Figure 2 ForFigure 1 Flow chart of constructing a data association relationship table in the data association module.

[0041] Figure 3 For Figure 1 Flow chart of the comprehensive evaluation module. Specific implementation manners

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described 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 the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Please refer to Figure 1 As shown, a sediment detector for foundation engineering based on physical sensors includes a coupling agent automatic filling control module, a pile foundation sediment thickness analysis module, a foundation settlement warning module, a standard penetration test module, a data association module, and a comprehensive evaluation module.

[0044] The comprehensive evaluation module is connected to the coupling agent automatic filling control module, the pile foundation sediment thickness analysis module, the foundation settlement warning module, the standard penetration test module, and the data association module. The data association module is connected to the coupling agent automatic filling control module, the pile foundation sediment thickness analysis module, the foundation settlement warning module, and the standard penetration test module.

[0045] The coupling agent automatic filling control module is used to obtain real-time flow rate data of the coupling agent, compare it with the preset filling speed, screen out abnormal filling data, and perform adjustment.

[0046] The specific analysis method for screening and filling abnormal data is as follows: Set the filling speed and dosage of the coupling agent according to the specifications of the pile foundation sonic logging tubes and the detection requirements, operate the filling pump to fill the coupling agent. During the operation of the filling pump, obtain the real-time flow velocity data of the coupling agent through the flow sensor, compare the real-time flow velocity data with the preset filling speed, calculate the difference between the actual flow velocity and the preset filling speed, and determine whether this difference exceeds the set allowable error range. If the difference between the actual flow velocity and the target flow velocity is within the set allowable error range, keep the current rotation speed and valve opening of the filling pump unchanged and continue to monitor the flow velocity data. If the difference between the actual flow velocity and the target flow velocity exceeds the set allowable error range, regard it as abnormal filling data and enter the adjustment process; By obtaining the flow velocity data of the coupling agent in real time and comparing it with the preset filling speed, it is possible to accurately judge whether there is an abnormality during the filling process. When the difference between the actual flow velocity and the preset filling speed exceeds the allowable error range, intervene and adjust in time, so as to ensure that the filling speed of the coupling agent meets the specifications of the pile foundation sonic logging tubes and the detection requirements, improve the filling accuracy, and provide reliable basic conditions for subsequent detection work.

[0047] The specific analysis method of the adjustment process is as follows: According to the deviation degree between the actual flow velocity and the target flow velocity, use the adjustment algorithm to calculate the adjustment amounts of the rotation speed and valve opening of the filling pump. If the actual flow velocity is lower than the preset filling speed, correspondingly increase the rotation speed and valve opening. If the actual flow velocity is higher than the preset filling speed, correspondingly decrease the rotation speed and valve opening, and compare the actual flow velocity again after adjustment to judge whether the adjusted flow velocity meets the requirements of the preset filling speed parameters. Otherwise, repeat the above steps until the difference between the actual flow velocity and the target flow velocity is stable within the set allowable error range; During the adjustment process, by continuously comparing and adjusting the actual flow velocity until the difference between the actual flow velocity and the target flow velocity is stable within the allowable error range, the filling process can be gradually optimized. As the filling process progresses, the system can continuously adjust the parameters according to the actual situation to make the filling process more stable and efficient.

[0048] It should be noted that the rotation speed and valve opening are calculated for the adjustment amount according to the deviation degree by setting the rotation speed adjustment coefficient and valve opening adjustment coefficient. When the actual flow velocity is lower than the preset filling speed, multiply by the corresponding ratio according to the deviation magnitude to obtain the amount by which the rotation speed and valve opening need to be increased. On the contrary, when the actual flow velocity is higher than the preset speed, calculate the value to be decreased according to the deviation and ratio in the same way.

[0049] The pile foundation sediment thickness analysis module is used to obtain the sediment thickness of each pile foundation hole each time, calculate the deviation percentage of the sediment thickness of each pile foundation hole, and screen out abnormal sediment data.

[0050] The specific analysis method of the pile foundation sediment thickness analysis module is as follows: Lower the probe of the sediment thickness detector into each pile foundation hole through a hoisting device so that the probe reaches the detection position at the bottom of the hole. Send detection signals through the probe and receive reflected signals at fixed time intervals, and record the time interval from the emission of the signal to the reception of the reflected signal for each detection, so as to obtain the original sediment thickness data for each detection of each pile foundation hole. Obtaining the original sediment thickness data at fixed time intervals can obtain a continuous detection data sequence, which can reflect the change trend of the sediment thickness over time and is helpful for analyzing the deposition law and change reasons of the sediment.

[0051] It should be noted that the sound wave emitted by the transmitting probe propagates downward in the pile foundation hole, reflects back after encountering the interface between the sediment and the pile bottom bearing stratum, and is received by the receiving probe. The propagation path of the sound wave in the pile foundation hole is from the transmitting probe to the sediment interface and then back to the transmitting probe. The propagation distance is related to the sediment thickness. Obtain the propagation speed of the sound wave in the medium of the pile foundation hole, and calculate the total distance of the sound wave propagation in the pile foundation hole by multiplying it by the time interval from the emission of the signal to the reception of the reflected signal for each detection. Since the total distance of the sound wave propagation is the distance from the transmitting probe to the sediment interface and then back to the transmitting probe, the sediment thickness is half of the total distance of the sound wave propagation, so as to obtain the original sediment thickness data for each detection of each pile foundation hole.

[0052] Perform filtering processing on the original sediment thickness data for each detection of each pile foundation hole to obtain the processed sediment thickness for each detection of each pile foundation hole. Obtain the sediment thickness of each pile foundation hole by taking the average value of them. Set the standard value of the sediment thickness, compare the sediment thickness of each pile foundation hole with the standard value of the sediment thickness one by one, and obtain the difference between the sediment thickness of each pile foundation hole and the standard value through subtraction operation, and then calculate the deviation percentage of the sediment thickness of each pile foundation hole; By calculating the difference and the deviation percentage, the deviation degree of the sediment thickness of each pile foundation hole from the standard value can be clearly understood, so as to accurately judge the quality status of the pile foundation.

[0053] It should be noted that the specific analysis method of the filtering processing is as follows: Select a filtering method, determine the size of the filtering window according to the sampling frequency of the data and the frequency characteristics of the noise, place the filtering window at the starting position of the original data sequence. For the data points within the filtering window, sort them according to their sizes and take the middle value as the filtered output value, calculate the average value of all data points within the filtering window and take it as the filtered output value, determine the mean and standard deviation of the Gaussian function, calculate the weight of each data point accordingly, perform weighted summation on the data points within the window according to the weight of the Gaussian function to obtain the filtered output value, move the filtering window one data point position backward along the original data sequence in turn, repeat the above operations, and perform filtering calculation on the data in the next window until the entire original data sequence is processed to obtain the processed sediment thickness data for each detection of each pile foundation hole.

[0054] It should be noted that through the calculation formula the deviation percentage of the sediment thickness of each pile foundation hole is obtained , where represents the number of the th pile foundation hole, , represents the difference between the sediment thickness of the th pile foundation hole and the standard value, represents the standard value of the sediment thickness.

[0055] Compare the deviation percentage of the sediment thickness of each pile foundation hole with the preset qualified range threshold. If the deviation percentage of the sediment thickness of a certain pile foundation hole exceeds the qualified range threshold, it is determined that the test data of this pile foundation hole is abnormal sediment data and is marked; through clear numerical comparison, the pile foundation holes with sediment thickness not meeting the requirements can be accurately found. As the judgment standard, the qualified range threshold can quickly and accurately determine which pile foundations have abnormal sediment problems, avoiding the uncertainty of subjective judgment and improving the accuracy and reliability of problem identification.

[0056] The foundation settlement warning module is used to collect the displacement data of the foundation at each time node, calculate the settlement amount of the foundation at each time node, draw the curve of the foundation settlement changing with time, and thus set the threshold to trigger the warning.

[0057] The specific analysis method of the curve of the foundation settlement changing with time is as follows: Select several equally spaced monitoring points on the foundation, use a steel tape settlement gauge, divide the time nodes according to the preset fixed time interval, collect the displacement data of the foundation at each time node through a displacement sensor, and calculate the settlement amount of the foundation at each time node based on the displacement data of the foundation at each time node and in combination with the displacement data of the foundation at the previous time node. Take each time node as the abscissa and the settlement amount of the foundation at each time node as the ordinate to draw the curve of the foundation settlement changing with time; it can timely detect the abnormal changes in the foundation settlement process, and at the same time, based on the change law of the curve, a certain degree of prediction of the future settlement situation of the foundation can be made.

[0058] It should be noted that the specific analysis method of the settlement amount of the foundation at each time node is as follows: Mark the time nodes in sequence as , and the corresponding displacement data of the foundation are respectively recorded as , and the settlement amount of the foundation at each time node is obtained through the formula , where represents the displacement data of the foundation at the th time node.

[0059] ​The specific analysis method of the foundation settlement warning module is as follows: Set the foundation settlement warning threshold, where the warning threshold includes a primary warning threshold and a secondary warning threshold, and clearly define the corresponding warning levels and handling measures for the primary warning threshold and the secondary warning threshold respectively. Read the real-time foundation settlement data from the change curve of foundation settlement over time, and screen out the abnormal settlement data by comparing it with the foundation settlement warning threshold; it can promptly detect abnormal situations during the foundation settlement process. Once the real-time foundation settlement data reaches or exceeds the warning threshold, a warning signal can be quickly sent out to draw attention to the foundation condition so that measures can be taken in a timely manner.

[0060] When the corresponding foundation settlement amount reaches or exceeds the primary warning threshold, the acoustic-optic alarm device immediately emits an acoustic-optic warning signal and sends a warning message containing the current foundation settlement amount and the reached warning level. When the corresponding foundation settlement amount further exceeds the secondary warning threshold, the intensity of the warning signal is enhanced, and the emergency plan push process is started to push the pre-developed treatment plan for the secondary warning situation to the terminal; the sending of the acoustic-optic alarm device and the warning message can quickly convey the foundation settlement situation, eliminating the need for manual frequent data viewing and analysis, improving management efficiency. At the same time, the initiation of the emergency plan push process also makes emergency management more standardized and reduces the interference of human factors.

[0061] The standard penetration test module is used to penetrate the foundation soil layer, collect the penetration blow count and depth data, determine the compactness grade of the foundation soil layer and give feedback.

[0062] The specific analysis method of the standard penetration test module is as follows: Set the detection depth, use the driving device to drive the penetrator to penetrate the foundation soil layer at the detection point. During the penetration process, continuously collect the penetration blow count and penetration depth, and when penetrating every preset depth, pause the penetration and record the current cumulative penetration blow count and depth data to obtain the cumulative penetration blow count corresponding to each depth until the set detection depth is reached; it can accurately obtain the penetration characteristics of the foundation soil layer at different depths. The penetration blow count reflects the resistance of the soil layer, and the depth data clarifies the position information of the soil layer. The combination of these data provides a basis for quantitatively analyzing the mechanical properties of the foundation soil layer.

[0063] Calculate the average blow count by taking the mean of them, read the average blow count range corresponding to each compactness grade of each soil type preset, extract the average blow count range corresponding to each compactness grade according to the foundation soil type, compare the average blow count with it to obtain the compactness grade of the foundation soil layer, and give feedback to the system; it can scientifically determine the compactness grade of the foundation soil layer, with high accuracy and reliability, providing an important basis for the evaluation of foundation bearing capacity and engineering design.

[0064] The data association module is used to construct a data association relationship table, perform visualization processing and present it.

[0065] Please refer to Figure 2 as shown below. The specific analysis method for constructing the data correlation relationship table is as follows: receive filling abnormal data, sediment abnormal data, settlement abnormal data, and the density grade of the foundation soil layer respectively.

[0066] Classify and organize the received data according to the dimensions of detection time and detection location, and establish a data correlation relationship table; it can centralize the scattered data, make the data from different sources and with different natures become orderly, facilitate the management and search of data, and improve the availability of data.

[0067] Perform visualization processing on the data in the data correlation relationship table and present the data in a visual way; presenting the data in a visual way makes the data more intuitive and understandable.

[0068] The data correlation relationship table includes a unique identification field for identifying data, a detection time field for recording the detection time, and a detection location field for marking the detection location.

[0069] For each detection module, set at least one data field of numeric type, text type, or date type according to the data nature for storing the generated specific data.

[0070] Among them, the unique identification field generates a unique number by combining the project number, timestamp, and location code. The detection time field adopts a unified time format, and the detection location field adopts a preset standard location code; the standardized and unified data storage method ensures the consistency and accuracy of the data, facilitating data sharing and exchange.

[0071] After constructing the data correlation relationship table, associate the data of different modules at the same time and location through the detection time field and the detection location field to form a complete data correlation relationship; by forming a complete data correlation relationship, it helps to reveal the potential connections between different data and discover the laws and trends among the data.

[0072] It should be noted that in a specific embodiment, there are detection data of three detection points (A01, A02, A03) within a certain period of time: Filling abnormal data: At 10:00 on October 1, 2024, it was detected at point A01 that the density of the filling material was abnormal, with a value of 1.8 g / cm³ (the normal range should be 2.0 - 2.2 g / cm³).

[0073] Sediment abnormal data: At 10:30 on October 1, 2024, it was detected at point A02 that the sediment thickness was abnormal, with a value of 15 cm (the normal value should be less than 10 cm).

[0074] Settlement anomaly data: The settlement amount at point A03 was detected as abnormal at 11:00 on October 1, 2024, with a value of 8 mm (the normal value should be less than 5 mm).

[0075] Degree of compaction of foundation soil layer: The degree of compaction of the foundation soil layer at point A01 was detected as "loose" at 9:30 on October 1, 2024.

[0076] Determine the data fields for it respectively: Unique identification field: Generated by combining the project number (Bridge001), timestamp (20241001100000) and location code (A01), "Bridge001-20241001100000-A01".

[0077] Detection time field: Adopts the format of "YYYY year MM month DD day HH hour mm minute", "October 1, 2024, 10:00".

[0078] Detection location field: Adopts the preset codes A01, A02, A03.

[0079] Filling anomaly data field: Numerical type, used to store the density of filling materials, unit g / cm³.

[0080] Settled sediment anomaly data field: Numerical type, used to store the thickness of settled sediment, unit cm.

[0081] Settlement anomaly data field: Numerical type, used to store the settlement amount, unit mm.

[0082] Degree of compaction of foundation soil layer field: Text type, stores the degree of compaction, such as "loose", "slightly dense", etc.

[0083] Specifically refer to Table 1, in which a data association relationship table composed of some representative data is listed.

[0084] Table 1. Data Association Relationship Table

[0085]

[0086] Comprehensive evaluation module, used to calculate the comprehensive evaluation score of the foundation, compare and determine the stability level of the foundation and give feedback.

[0087] Please refer to Figure 3As shown in the figure, the specific analysis method of the comprehensive evaluation module is as follows: taking the filling anomaly, sediment anomaly, settlement anomaly, and density grade of the foundation soil layer as each index, the analytic hierarchy process is used to determine their corresponding weights. By establishing a hierarchical structure model, constructing a judgment matrix, and calculating the relative weights of each index; calculating the weights by establishing a hierarchical structure model and constructing a judgment matrix can take into account the mutual relationship and importance difference between each index, avoid subjective randomness, and make the determination of weights more scientific and reasonable.

[0088] Set grading thresholds for each index data, obtain the corresponding grading situation through comparison, and then perform quantitative scoring according to its grading situation; obtaining the corresponding grading situation through comparison and performing quantitative scoring can convert the originally complex and diverse index data that are difficult to directly compare into quantifiable values, which is convenient for unified analysis and calculation, and can more accurately evaluate the status of each index and the difference degree between different indexes.

[0089] Based on the relative weights and quantitative scores of each index, calculate the comprehensive evaluation score of the foundation. According to the range of comprehensive evaluation scores corresponding to each stability degree level of the foundation set in advance, compare to obtain the stability degree level of the foundation foundation project, and give feedback on the stability degree level; avoiding the one-sidedness of evaluating based on a single index, which is more in line with the situation where the foundation stability in actual engineering is affected by multiple factors.

[0090] It should be noted that the specific analysis method of the comprehensive evaluation score of the foundation is as follows: set the comprehensive evaluation of the foundation foundation project as the target layer, and take the filling anomaly, sediment anomaly, settlement anomaly, and density grade of the foundation soil layer as the criterion layer, which are the various indexes for evaluation.

[0091] Compare each pair of indexes in the criterion layer, and use the 1-9 scale method for quantitative judgment. Among them, 1 means that the two indexes are equally important, 3 means that one index is slightly more important than the other, 5 means significantly important, 7 means strongly important, 9 means extremely important, and 2, 4, 6, 8 are the intermediate values of the above adjacent judgments, and construct the quantitative judgment matrix accordingly.

[0092] For the four indexes of filling anomaly, sediment anomaly, settlement anomaly, and density grade of the foundation soil layer, set grading thresholds respectively according to engineering specifications, historical data, and actual experience. Compare the actually collected index data with the set grading thresholds to determine the corresponding grading of each index, assign corresponding scores to each grading, and determine its quantitative score according to the grading situation of each index.

[0093] By accumulating and averaging the sum of the relative weights and quantitative scores of each index, the comprehensive evaluation score of the foundation is obtained.

[0094] In a preferred embodiment of the present invention, the specific analysis method for the comprehensive evaluation score of the foundation is as follows: extract the relative weights and quantitative scores of each index of the foundation, and then sum them according to the weights and calculate the average value to obtain the comprehensive evaluation score of the foundation.

[0095] Exemplarily, the weights corresponding to the relative weights and quantitative scores of each index are .

[0096] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention, and still be covered by the protection scope of the present invention.

Claims

1. A sediment detector for foundation engineering based on physical sensors, characterized in that, The system specifically includes the following modules: The coupling agent automatic filling control module is used to obtain the real-time flow rate data of the coupling agent, compare it with the preset filling speed, screen out abnormal filling data, and make adjustments; The pile foundation sediment thickness analysis module is used to obtain the sediment thickness of each pile foundation hole each time, calculate the deviation percentage of the sediment thickness of each pile foundation hole, and screen out abnormal sediment data; The foundation settlement warning module is used to collect the displacement data of the foundation at each time node, calculate the settlement amount of the foundation at each time node, draw the change curve of the foundation settlement over time, and thus set a threshold to trigger an alarm; The standard penetration test module is used to penetrate the foundation soil layer, collect the penetration blow count and depth data, determine the density grade of the foundation soil layer and give feedback; The data association module is used to construct a data association relationship table, perform visual processing and presentation; The comprehensive evaluation module is used to calculate the comprehensive evaluation score of the foundation, compare and determine the stability level of the foundation and give feedback.

2. The sediment detector for foundation engineering based on physical sensors according to claim 1, characterized in that, The specific analysis method for screening abnormal filling data is as follows: Set the coupling agent filling speed and dosage according to the specifications of the pile foundation sonic logging tube and the detection requirements. Operate the filling pump to fill the coupling agent. During the operation of the filling pump, obtain the real-time flow rate data of the coupling agent through a flow sensor, compare the real-time flow rate data with the preset filling speed, calculate the difference between the actual flow rate and the preset filling speed, and determine whether the difference exceeds the set allowable error range. If the difference between the actual flow rate and the target flow rate is within the set allowable error range, keep the current filling pump speed and valve opening unchanged and continue to monitor the flow rate data. If the difference between the actual flow rate and the target flow rate exceeds the set allowable error range, regard it as abnormal filling data and enter the adjustment process.

3. The sediment detector for foundation engineering based on physical sensors according to claim 2, characterized in that The specific analysis method for the adjustment process is as follows: According to the deviation degree between the actual flow rate and the target flow rate, use an adjustment algorithm to calculate the adjustment amount of the filling pump speed and valve opening. If the actual flow rate is lower than the preset filling speed, correspondingly increase the speed and valve opening. If the actual flow rate is higher than the preset filling speed, correspondingly decrease the speed and valve opening. After adjustment, compare the actual flow rate again to determine whether the adjusted flow rate meets the preset filling speed parameter requirements. Otherwise, repeat the above steps until the difference between the actual flow rate and the target flow rate is stable within the set allowable error range.

4. The sediment detector for foundation engineering based on physical sensors according to claim 1, characterized in that The specific analysis method for the pile foundation sediment thickness analysis module is as follows: Lower the probe of the sediment thickness detector into each pile foundation hole through a hoisting device so that the probe reaches the bottom detection position of the hole. Transmit detection signals and receive reflected signals through the probe at fixed time intervals, and record the time interval from the emission of the signal to the reception of the reflected signal for each detection, so as to obtain the original sediment thickness data of each detection of each pile foundation hole; Perform filtering processing on the original sediment thickness data of each detection of each pile foundation hole to obtain the processed sediment thickness of each detection of each pile foundation hole. Calculate the sediment thickness of each pile foundation hole by taking the average value. Set the sediment thickness standard value, compare the sediment thickness of each pile foundation hole with the sediment thickness standard value one by one, obtain the difference between the sediment thickness of each pile foundation hole and the standard value through subtraction operation, and then calculate the deviation percentage of the sediment thickness of each pile foundation hole. Compare the deviation percentage of the sediment thickness of each pile foundation hole with the preset qualified range threshold. If the deviation percentage of the sediment thickness of a certain pile foundation hole exceeds the qualified range threshold, determine that the test data of this pile foundation hole is abnormal sediment data and mark it.

5. The sediment detector for foundation engineering based on physical sensors according to claim 1, characterized in that, The specific analysis method for the curve of foundation settlement over time is as follows: Select several monitoring points at equal intervals on the foundation. Use a steel tape settlement gauge to divide time nodes according to a preset fixed time interval. Collect the displacement data of the foundation at each time node through a displacement sensor. Based on the displacement data of the foundation at each time node and in combination with the displacement data of the foundation at the previous time node, calculate the settlement amount of the foundation at each time node. Take each time node as the abscissa and the settlement amount of the foundation at each time node as the ordinate to draw the curve of foundation settlement over time.

6. The sediment detector for foundation engineering based on physical sensors according to claim 5, characterized in that, The specific analysis method for the foundation settlement warning module is as follows: Set the foundation settlement warning threshold. The warning threshold includes a first-level warning threshold and a second-level warning threshold, and clearly define the corresponding warning levels and handling measures for the first-level warning threshold and the second-level warning threshold respectively. Read the real-time foundation settlement data from the curve of foundation settlement over time. By comparing it with the foundation settlement warning threshold, filter out the abnormal settlement data; When the corresponding foundation settlement amount reaches or exceeds the first-level warning threshold, the sound and light alarm device immediately emits a sound and light warning signal and sends a warning message including the current foundation settlement amount and the reached warning level. When the corresponding foundation settlement amount further exceeds the second-level warning threshold, strengthen the intensity of the warning signal and start the emergency plan push process to push the pre-developed treatment plan for the second-level warning situation to the terminal.

7. The sediment detector for foundation engineering based on physical sensors according to claim 1, characterized in that, The specific analysis method for the standard penetration test module is as follows: Set the detection depth. Use the driving device to drive the penetrometer to penetrate the foundation soil layer at the detection point. Continuously collect the penetration blows and penetration depth during the penetration process. When penetrating every preset depth, pause the penetration and record the current cumulative penetration blows and depth data to obtain the cumulative penetration blows corresponding to each depth until the set detection depth is reached; Obtain the average blows by calculating the mean value. Read the average blow range corresponding to each density grade of each soil type preset. Extract the average blow range corresponding to each density grade according to the foundation soil type. Compare the average blows with it to obtain the density grade of the foundation soil layer and feedback it to the system.

8. A sediment detector for foundation engineering based on physical sensors according to claim 1, characterized in that, The specific analysis method for constructing the data correlation relationship table is as follows: Receive the filling abnormal data, sediment abnormal data, settlement abnormal data, and the density grade of the foundation soil layer respectively; Classify and organize the received data according to the dimensions of detection time and detection location, and establish a data correlation relationship table; Perform visual processing on the data in the data correlation relationship table and present the data in a visual way.

9. The sediment detector for foundation engineering based on physical sensors according to claim 8, characterized in that, The data correlation relationship table includes a unique identification field for identifying data, a detection time field for recording the detection time, and a detection location field for marking the detection location; For each detection module, set at least one data field of numeric type, text type, or date type according to the data nature to store the generated specific data; Among them, the unique identification field generates a unique number by combining the project number, timestamp, and location code. The detection time field adopts a unified time format, and the detection location field adopts a preset standard location code; After constructing the data association relationship table, the data of different modules at the same time and location are associated through the detection time field and the detection location field to form a complete data association relationship.

10. The sediment detector for foundation engineering based on physical sensors according to claim 1, characterized in that, The specific analysis method of the comprehensive evaluation module is as follows: Taking the filling anomaly, sediment anomaly, settlement anomaly, and density grade of the foundation soil layer as each index, the analytic hierarchy process is used to determine their corresponding weights. By establishing a hierarchical structure model, constructing a judgment matrix, and calculating the relative weights of each index; Set grading thresholds for each index data, obtain the corresponding grading situation through comparison, and then perform quantitative scoring according to its grading situation; Based on the relative weights and quantitative scores of each index, calculate the comprehensive evaluation score of the foundation. According to the pre-set comprehensive evaluation score range corresponding to each stability level of the foundation, compare to obtain the stability level of the foundation engineering, and feedback on the stability level.

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