Soft foundation beam field deformation monitoring system based on static force level gauge and control method
By constructing a static level instrument service network and data analysis algorithms, the real-time and automated problems of deformation monitoring in soft foundation beam yards were solved, achieving high-precision deformation monitoring and control, and ensuring project quality and safety.
Patent Information
- Application Number
- CN202610085531.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-22
- Publication Date
- 2026-05-08
AI Technical Summary
Existing technologies lack high-precision, real-time, and automated monitoring systems for deformation monitoring in soft soil beam fields, making it difficult to detect deformation anomalies in a timely manner, which affects project quality and safety.
A deformation monitoring system for soft foundation beam fields based on a hydrostatic level is constructed, including a hydrostatic level service network, a data acquisition and transmission module, a data processing and analysis module, an early warning and alarm module, and a user interface module. This system enables real-time data acquisition, processing, and early warning, and combines time series prediction models for deformation trend analysis and control.
It enables high-precision, real-time, and automated monitoring of deformation in soft foundation beam yards, improving monitoring efficiency and accuracy, reducing the impact of human factors, and ensuring construction quality and operational safety.
Smart Images
Figure CN121994192A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of engineering monitoring technology, specifically to a deformation monitoring system and control method for soft foundation beam fields based on a hydrostatic level. Background Technology
[0002] When constructing beam yards on soft soil foundations, the characteristics of soft soil, such as high compressibility, low strength, and high water content, make the beam yards highly susceptible to deformation during construction and operation. If these deformations are not monitored and controlled in a timely manner, they can lead to serious consequences such as beam cracking and structural instability, affecting project quality and safety. Traditional deformation monitoring methods have many limitations. For example, total station monitoring requires professional operation and has limited measurement frequency, making real-time, continuous monitoring difficult; manual leveling is inefficient, labor-intensive, and its accuracy is greatly affected by human factors. Existing automated monitoring systems still need improvement in terms of data accuracy, system stability, and adaptability to the complex environment of soft soil foundation beam yards. As a high-precision elevation measurement instrument, the static level has advantages such as high accuracy and good stability, and has been applied in some engineering monitoring. However, there is currently no complete deformation monitoring system and control method for soft foundation beam fields based on the static level that can fully utilize the advantages of the static level to achieve comprehensive, accurate, and real-time deformation monitoring and effective control of soft foundation beam fields. Summary of the Invention
[0003] To address the shortcomings of existing technologies, this invention provides a deformation monitoring system and control method for soft foundation beam fields based on a hydrostatic level.
[0004] To achieve the above objectives, this invention provides a deformation monitoring system for soft foundation beam fields based on a hydrostatic level, comprising: The hydrostatic level service network consists of multiple hydrostatic levels, used to measure liquid level data at various monitoring points; The data acquisition and transmission module is connected to multiple hydrostatic levels to acquire liquid level data measured by the hydrostatic levels in real time and transmit it to the data processing and analysis module. The data processing and analysis module is used to receive data transmitted by the data acquisition and transmission module, preprocess the data, and use data analysis algorithms to calculate the deformation information of each monitoring point based on the liquid level data, and analyze and predict the deformation trend. The early warning and alarm module is used to set deformation thresholds so that when the detected deformation data exceeds the deformation threshold, the early warning and alarm functions are triggered immediately. The user interface module provides users with an intuitive and convenient operating interface, enabling them to view deformation data, deformation trend diagrams, and early warning information at various monitoring points in the beam yard in real time, as well as to set system parameters.
[0005] Optionally, the data acquisition and transmission module includes: The data acquisition module is used to acquire liquid level data measured by multiple hydrostatic levels in real time. The data transmission module is used to transmit liquid level data to the data processing and analysis module.
[0006] Optionally, the data processing and analysis module includes: The data processing module is used to receive data transmitted from the data acquisition and transmission module and to preprocess the data. The data analysis module is used to calculate the deformation information of each monitoring point based on the liquid level data using data analysis algorithms, and to analyze and predict the deformation trend.
[0007] Optionally, the early warning and alarm module includes: The threshold monitoring module is used to set the deformation threshold and monitor the deformation threshold. The alarm module is used to immediately trigger early warning and alarm functions when the detected deformation data exceeds the deformation threshold.
[0008] Furthermore, to achieve the above objectives, the present invention also provides a method for controlling the deformation of a soft foundation beam field based on a hydrostatic level, which is used in a soft foundation beam field deformation monitoring system based on a hydrostatic level according to any of the above embodiments of the present invention, and includes the following steps: S10, based on the hydrostatic level instrument service network, collects liquid level data of each monitoring point in the soft foundation beam field in real time according to the preset monitoring frequency, and transmits the data to the data processing and analysis module; S20, Based on the data processing and analysis module, the collected liquid level data is preprocessed and deformation trend analysis is performed to establish a time series prediction model; S30, when the deformation exceeds the set warning threshold, a warning signal is issued based on the warning and alarm module, and the deformation data is analyzed based on the data processing and analysis module, so as to take corresponding deformation control measures according to the analysis results; S40, after taking corresponding deformation control measures, continue to monitor the deformation of the soft foundation beam field through the static level instrument service network, and evaluate the effectiveness of the deformation control measures.
[0009] Optionally, step S20 includes the following steps: S210, based on the data processing and analysis module, the collected liquid level data is preprocessed, the preprocessing including outlier removal and missing value processing; S220, Based on the preprocessed liquid level data, calculate the sedimentation amount and horizontal displacement; S230, based on the calculation results, analyze the deformation trend of the soft foundation beam field; S240, based on the deformation trend of the soft foundation beam field, plot the deformation curve; S250, Based on the deformation curve, establish a time series prediction model.
[0010] The present invention provides a deformation monitoring system and control method for soft foundation beam fields based on a hydrostatic level, which has the following beneficial effects: This invention constructs a soft foundation beam yard deformation monitoring system based on a hydrostatic leveling instrument service network, which achieves high-precision, real-time, and automated monitoring of soft foundation beam yard deformation, improves monitoring efficiency and accuracy, realizes automation to reduce manpower and costs, and reduces the impact of human factors on monitoring results.
[0011] This invention analyzes and predicts deformation trends through data analysis algorithms. Through the early warning and alarm module, it can promptly detect abnormal deformation in the beam yard and provide a scientific basis for decision-making, effectively ensuring the construction quality and operational safety of the beam yard. This invention combines deformation control methods with a monitoring system to form a closed-loop control system. It can take effective control measures in a timely manner based on monitoring results, and evaluate and adjust the control effect to ensure that the deformation of the soft foundation beam field is always within a controllable range. Attached Figure Description
[0012] Figure 1 This is a structural block diagram of a soft foundation beam field deformation monitoring system based on a hydrostatic level according to the present invention. Figure 2 This is a flowchart of a soft foundation beam field deformation control method based on a hydrostatic level, according to the present invention. Detailed Implementation
[0013] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0014] Please see the appendix Figure 1 This invention provides a deformation monitoring system and control method for soft foundation beam fields based on a hydrostatic level, comprising: The hydrostatic level service network consists of multiple hydrostatic levels, used to measure liquid level data at various monitoring points; The data acquisition and transmission module is connected to multiple hydrostatic levels to acquire liquid level data measured by the hydrostatic levels in real time and transmit it to the data processing and analysis module. The data processing and analysis module is used to receive data transmitted by the data acquisition and transmission module, preprocess the data, and use data analysis algorithms to calculate the deformation information of each monitoring point based on the liquid level data, and analyze and predict the deformation trend. The early warning and alarm module is used to set deformation thresholds so that when the detected deformation data exceeds the deformation threshold, the early warning and alarm functions are triggered immediately. The user interface module provides users with an intuitive and convenient operating interface, enabling them to view deformation data, deformation trend diagrams, and early warning information of various monitoring points in the beam yard in real time, as well as set system parameters, including deformation thresholds and monitoring frequency.
[0015] The communication protocol used between the above modules is as follows: The static level instrument service network and data acquisition and transmission module are connected via MODBUS-RTU, without the need for an additional gateway, and are directly connected to the data acquisition and transmission module terminal via RS485 bus; The data acquisition and transmission module and the data processing and analysis module communicate using the MQTT protocol (wireless transmission) + TCP / IP protocol (wired transmission). The data processing and analysis module and the early warning and alarm module communicate via an HTTP / REST API; The early warning and alarm module and the user interface module communicate using WebSocket (real-time data push) + HTTP (static resource loading).
[0016] Specifically, in the early warning and alarm module, the set deformation threshold needs to consider multiple factors such as structural characteristics, safety margin, monitoring accuracy, and environmental conditions. There is no fixed value; it needs to be determined through a combination of scientific calculations and engineering experience. The following is a detailed analysis: Structural safety margin: The deformation threshold needs to have sufficient safety margin to avoid false alarms triggered by minor deformations, and at the same time ensure timely warnings before the structure reaches the critical state.
[0017] Monitoring accuracy matching: The accuracy of the hydrostatic level (e.g., 0.01mm or 0.1%FS) must match the threshold. If the instrument accuracy is 0.01mm, setting the threshold too small (e.g., 0.05mm) may lead to frequent false alarms, while setting it too large (e.g., 5mm) may cause key deformations to be missed.
[0018] Environmental adaptability: Environmental factors such as temperature and humidity may cause measurement errors. For example, a temperature change of 1°C may result in a liquid level change of 0.02 mm. It is necessary to correct the data through a temperature compensation algorithm or appropriately relax the threshold to cover environmental interference.
[0019] Furthermore, in the static leveling instrument service network, each monitoring point is equipped with a static leveling instrument to monitor the items listed in Table 1 below. The monitoring range and number of monitoring points for each monitoring point are shown in Table 1 below.
[0020] Table 1
[0021] The settlement monitoring data at each monitoring point are shown in Table 2 below: Table 2
[0022] In this exemplary embodiment, the static levels in the static leveling instrument service network are rationally distributed at key locations in the soft soil foundation beam yard, such as the 260T track foundation and the mixing plant silos, according to the layout and monitoring needs of the beam yard. The static levels are connected via connecting pipes to form a unified liquid level balance system, ensuring accurate measurement of liquid level data at each monitoring point.
[0023] In an exemplary embodiment, the data acquisition and transmission module includes: The data acquisition module is used to acquire liquid level data measured by multiple hydrostatic levels in real time. The data transmission module is used to transmit liquid level data to the data processing and analysis module.
[0024] Among them, several hydrostatic levels meet the following conditions: measuring range ±50mm, resolution 0.01mm, and temperature compensation range -20℃ to +60℃.
[0025] Furthermore, the data transmission module employs wireless transmission technologies such as 4G, 5G, or LoRa (Long Range) to transmit the collected data to the data processing and analysis module in a timely manner, reducing wiring costs and maintenance difficulties, thereby improving the system's flexibility and scalability. LoRa, in particular, is a low-power wide-area network (LPWAN) communication technology, especially suitable for the long-distance, low-power communication needs of IoT devices.
[0026] In an exemplary embodiment, the data processing and analysis module includes: The data processing module is used to receive data transmitted from the data acquisition and transmission module and to preprocess the data. The data analysis module is used to calculate the deformation (settlement, displacement) information of each monitoring point based on the liquid level data using data analysis algorithms, and to analyze and predict the deformation trend.
[0027] The specific implementation method of the data analysis algorithm for calculating deformation information and predicting deformation trends is as follows: I. Data Preprocessing: Ensuring Data Quality (1) Outlier removal Methods: Abnormal liquid level data (such as jumps caused by instrument failure or environmental interference) were identified and removed using the 3σ criterion or box plot method.
[0028] Example: If the standard deviation of the liquid level data at a certain monitoring point is 0.5 mm, data exceeding the mean ± 1.5 mm are considered abnormal and removed.
[0029] (2) Handling missing values Method: Missing liquid level data were filled using linear interpolation or time series smoothing (such as moving average).
[0030] Example: If data for a certain period is missing, fill it with the average of the three periods before and after.
[0031] II. Deformation Calculation: From Liquid Level to Settlement / Displacement (1) Selection of reference points Fixed reference point: Select a geologically stable area (such as bedrock far from the construction area) as the reference point, and consider the liquid level change to be zero.
[0032] Relative reference point: If there is no fixed point, the average liquid level of multiple monitoring points can be used as a dynamic reference.
[0033] (2) Settlement calculation Principle: Settlement = Change in liquid level at monitoring point - Change in liquid level at reference point.
[0034] formula: .
[0035] In the formula: Let be the settlement amount at the i-th monitoring point at time t; To monitor the change in liquid level at the monitoring point; This represents the change in liquid level at the reference point.
[0036] (3) Displacement calculation (horizontal direction) Multi-point joint calculation: If it is necessary to monitor horizontal displacement (such as lateral movement in a soft foundation beam field), it is necessary to combine the data from the inclinometer or total station and calculate through geometric relationships.
[0037] Simplified method: Differentiate the settlement difference between adjacent monitoring points to approximate the horizontal displacement (suitable for scenarios with small deformation).
[0038] III. Trend Analysis: Identifying Variation Patterns (1) Time series analysis Methods: Plot the curve of settlement over time and observe the deformation trend (such as linear growth, exponential decay, and periodic fluctuation).
[0039] Tools: Use line charts or scatter plots to overlay fitted curves (such as multinomial regression or exponential functions).
[0040] Example: If the settlement curve is "S" shaped, it may indicate that the soft soil foundation is in an accelerated settlement stage, and monitoring should be strengthened.
[0041] (2) Rate analysis The daily settlement rate is calculated using the following formula:
[0042] In the formula: This represents the settlement at the i-th monitoring point at time t2; This represents the settlement amount at the i-th monitoring point at time t1.
[0043] IV. Predictive Modeling: Early Warning of Risks Establish a time series forecasting model: (1) Establish an ARIMA model: suitable for linear trend data, predicting future values through historical subsidence sequences.
[0044] Steps: Data stabilization → Model order determination (p, d, q) → Parameter estimation → Prediction.
[0045] Example: Build an ARIMA(1,1,1) model based on the settlement data of a monitoring point over the past 30 days to predict the deformation over the next 7 days.
[0046] (2) LSTM neural network model: suitable for nonlinear, long-period deformable data, capturing complex time series patterns.
[0047] Input: Historical settlement sequence, temperature, load and other multivariate data.
[0048] Output: Future deformation and confidence interval.
[0049] It should be noted that both the ARIMA model and the LSTM neural network model are existing technologies and will not be discussed in detail here.
[0050] In an exemplary embodiment, the early warning and alarm module includes: The threshold monitoring module is used to set the deformation threshold and monitor the deformation threshold. The alarm module is used to immediately trigger early warning and alarm functions when the monitored deformation data exceeds the deformation threshold. Specifically, the alarm module notifies relevant personnel in a timely manner through various means such as SMS, email, and audible and visual alarms so that appropriate measures can be taken, such as reinforcing the foundation or adjusting the loading sequence of the beams.
[0051] The above embodiments of the present invention, by constructing a soft foundation beam yard deformation monitoring system based on a hydrostatic leveling instrument service network, achieve high-precision, real-time, and automated monitoring of soft foundation beam yard deformation, improve monitoring efficiency and accuracy, realize automation to reduce manpower and costs, and reduce the impact of human factors on monitoring results.
[0052] The above embodiments of the present invention analyze and predict deformation trends through data analysis algorithms. Through the early warning and alarm module, abnormal deformation in the beam yard can be detected in a timely manner, providing a scientific basis for decision-making and effectively ensuring the construction quality and operational safety of the beam yard.
[0053] Please see the appendix Figure 2 This application also provides a method for controlling the deformation of a soft foundation beam field based on a hydrostatic level, which is used in any of the above embodiments of a soft foundation beam field deformation monitoring system based on a hydrostatic level, and includes the following steps: S10, based on the hydrostatic level instrument service network, collects liquid level data of each monitoring point in the soft foundation beam field in real time according to the preset monitoring frequency, and transmits the data to the data processing and analysis module; S20, Based on the data processing and analysis module, the collected liquid level data is preprocessed and deformation trend analysis is performed to establish a time series prediction model; S30, when the deformation exceeds the set warning threshold, a warning signal is issued based on the warning and alarm module, and the deformation data is analyzed based on the data processing and analysis module, so as to take corresponding deformation control measures according to the analysis results; S40, after taking corresponding deformation control measures, continue to monitor the deformation of the soft foundation beam field through the static level instrument service network, and evaluate the effectiveness of the deformation control measures.
[0054] In an exemplary embodiment, step S20 includes the following steps: S210, based on the data processing and analysis module, the collected liquid level data is preprocessed, the preprocessing including outlier removal and missing value processing; S220, Based on the preprocessed liquid level data, calculate the sedimentation amount and horizontal displacement; S230, based on the calculation results, analyze the deformation trend of the soft foundation beam field; S240, based on the deformation trend of the soft foundation beam field, plot the deformation curve; S250, Based on the deformation curve, establish a time series prediction model.
[0055] This invention combines deformation control methods with a monitoring system to form a closed-loop control system. It can take effective control measures in a timely manner based on monitoring results, and evaluate and adjust the control effect to ensure that the deformation of the soft foundation beam field is always within a controllable range.
[0056] In the description of this application, it should be noted that the terms "first", "second", and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0057] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0058] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interface; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0059] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0060] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
[0061] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
Claims
1. A deformation monitoring system for soft foundation beam fields based on a hydrostatic level, characterized in that, include: The hydrostatic level service network consists of multiple hydrostatic levels, used to measure liquid level data at various monitoring points; The data acquisition and transmission module is connected to multiple hydrostatic levels and is used to acquire liquid level data measured by the multiple hydrostatic levels in real time and transmit it to the data processing and analysis module. The data processing and analysis module is used to receive data transmitted by the data acquisition and transmission module, preprocess the data, and use data analysis algorithms to calculate the deformation information of each monitoring point based on the liquid level data, and analyze and predict the deformation trend. The early warning and alarm module is used to set a deformation threshold so that when the detected deformation data exceeds the deformation threshold, the early warning and alarm functions are triggered immediately. The user interface module provides users with an intuitive and convenient operating interface, enabling them to view deformation data, deformation trend diagrams, and early warning information at various monitoring points in the beam yard in real time, as well as to set system parameters.
2. The soft foundation beam field deformation monitoring system based on a hydrostatic level as described in claim 1, characterized in that, The data acquisition and transmission module includes: The data acquisition module is used to acquire liquid level data measured by multiple hydrostatic level instruments in real time; The data transmission module is used to transmit the liquid level data to the data processing and analysis module.
3. The soft foundation beam field deformation monitoring system based on a hydrostatic level as described in claim 1, characterized in that, The data processing and analysis module includes: The data processing module is used to receive data transmitted by the data acquisition and transmission module and to preprocess the data. The data analysis module is used to calculate the deformation information of each monitoring point based on the liquid level data using data analysis algorithms, and to analyze and predict the deformation trend.
4. The soft foundation beam field deformation monitoring system based on a hydrostatic level as described in claim 1, characterized in that, The early warning and alarm module includes: A threshold monitoring module is used to set a deformation threshold and monitor the deformation threshold. The alarm module is used to immediately trigger early warning and alarm functions when the detected deformation data exceeds the deformation threshold.
5. A method for controlling deformation in a soft foundation beam field based on a hydrostatic level, characterized in that, A soft foundation beam field deformation monitoring system based on a hydrostatic level, as described in any one of claims 1-4, comprises the following steps: S10, based on the hydrostatic level instrument service network, collects liquid level data of each monitoring point in the soft foundation beam field in real time according to the preset monitoring frequency, and transmits the data to the data processing and analysis module; S20, Based on the data processing and analysis module, the collected liquid level data is preprocessed and deformation trend analysis is performed to establish a time series prediction model; S30, when the deformation exceeds the set warning threshold, a warning signal is issued based on the warning and alarm module, and the deformation data is analyzed based on the data processing and analysis module, so as to take corresponding deformation control measures according to the analysis results; S40, after taking corresponding deformation control measures, continue to monitor the deformation of the soft foundation beam field through the static level instrument service network, and evaluate the effectiveness of the deformation control measures.
6. The method for controlling deformation in a soft foundation beam field based on a hydrostatic level as described in claim 5, characterized in that, Step S20 includes the following steps: S210, based on the data processing and analysis module, the collected liquid level data is preprocessed, the preprocessing including outlier removal and missing value processing; S220, Based on the preprocessed liquid level data, calculate the sedimentation amount and horizontal displacement; S230, based on the calculation results, analyze the deformation trend of the soft foundation beam field; S240, based on the deformation trend of the soft foundation beam field, plot the deformation curve; S250, Based on the deformation curve, establish a time series prediction model.