A prestressed steel support axial force loss intelligent compensation and real-time monitoring system

Abstract

The application provides a prestressed steel support axial force loss intelligent compensation and real-time monitoring system, which is provided with a collection module, a preprocessing module, an analysis module, an intelligent compensation module, a real-time monitoring display module, an alarm module and a storage module; the system collects axial force data, temperature data and stress and strain data of the prestressed steel support in real time through the installed collection module, processes the data through the preprocessing module, then performs filtering processing and outlier elimination through the preprocessing module, and the analysis module performs deep analysis processing and calculates the actual stress state of the steel support; when the prestressed support axial force needs to be adjusted, the intelligent compensation module automatically adjusts the prestress of the prestressed steel support to realize intelligent compensation of the axial force loss; the real-time monitoring display module intuitively displays the preprocessed data and the working state of the intelligent compensation module to the user; the alarm module timely sends an alarm signal when the axial force loss exceeds a preset threshold or the system appears abnormal.

Description

Technical Field

[0001] This invention relates to the field of engineering technology, specifically to an intelligent compensation and real-time monitoring system for axial force loss in prestressed steel supports. Background Technology

[0002] In numerous fields such as civil engineering, bridge construction, underground engineering, and building reinforcement, steel bracing structures are widely used to bear and transfer loads, ensuring the safety and stability of engineering structures, due to their high strength, good toughness, and workability. For example, in diaphragm wall construction, steel bracing resists lateral soil pressure and prevents foundation pit collapse; in bridge construction, temporary steel bracing provides necessary support for the installation and construction of bridge components; and in the reinforcement and renovation of existing buildings, steel bracing enhances the load-bearing capacity of the structure and extends its service life. In practical engineering applications, accurately grasping the actual axial force of steel bracing is crucial. On the one hand, the actual axial force is a key indicator for evaluating the working state and safety performance of the steel bracing structure; if the axial force borne by the steel bracing exceeds its design bearing capacity, it may lead to structural damage, causing serious safety accidents and threatening the lives and property of personnel. On the other hand, real-time monitoring and analysis of the actual axial force can promptly detect abnormalities in the steel bracing during construction or use, such as localized stress concentration or excessive deformation, allowing for timely adjustment measures to ensure the construction quality and long-term stability of the engineering structure.

[0003] Existing related technologies do not fully consider the mechanical characteristics and cross-sectional force balance principle of steel support structures when calculating stress. During actual stress loading, the internal stress distribution of steel supports is not uniform, and the magnitude and direction of stress may differ at different locations. If the actual axial force is calculated simply based on the assumption of uniform stress distribution, the calculation results will lead to a large error between the calculation results and the actual situation, failing to provide an accurate and reliable basis for engineering decisions. Therefore, based on the actual stress conditions of steel supports, the applicant proposes an intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports. This system can monitor the actual stress conditions of steel supports in real time, promptly detect potential axial force loss problems, and prevent structural instability, collapse, and other safety accidents caused by insufficient or abnormal axial force changes. It can also automatically adjust the prestress based on the judgment results, eliminating the need for frequent manual adjustments, reducing the workload and errors of manual operation, improving the accuracy and timeliness of adjustments, saving labor costs, and making the entire monitoring and compensation process more efficient and reliable. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention proposes an intelligent compensation and real-time monitoring system for axial force loss in prestressed steel supports. The system comprises a data acquisition module, a preprocessing module, an analysis module, an intelligent compensation module, a real-time monitoring and display module, an alarm module, and a storage module. The data acquisition module collects axial force data, temperature data, and stress-strain data of the prestressed steel support using axial force sensors, temperature sensors, and stress-strain sensors installed on the support. The preprocessing module preprocesses the collected axial force data, temperature data, and stress-strain data, obtaining preprocessed data. Preprocessing includes filtering and outlier removal. The analysis module receives the preprocessed data and performs in-depth analysis to determine the axial force loss and obtain the results. The intelligent compensation module... Based on the judgment results, the prestress of the prestressed steel support is automatically adjusted to achieve intelligent compensation for axial force loss. The real-time monitoring and display module displays the preprocessed data and the working status of the intelligent compensation module to the user in an intuitive graphical, chart, or numerical form. The alarm module issues an alarm signal in a timely manner when the axial force loss exceeds the preset threshold or when the system malfunctions. The system can understand the actual stress of the steel support in real time, promptly detect potential axial force loss problems, and avoid safety accidents such as structural instability and collapse caused by insufficient or abnormal changes in axial force. It also automatically adjusts the prestress based on the judgment results, eliminating the need for frequent manual adjustments, reducing the workload and errors of manual operation, improving the accuracy and timeliness of adjustments, saving labor costs, and making the entire monitoring and compensation process more efficient and reliable.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A prestressed steel support axial force loss intelligent compensation and real-time monitoring system is characterized by comprising: a data acquisition module, a preprocessing module, an analysis module, an intelligent compensation module, a real-time monitoring and display module, an alarm module, and a storage module; the data acquisition module acquires axial force data, temperature data, and stress-strain data of the steel support through axial force sensors, temperature sensors, and stress-strain sensors installed on the prestressed steel support; the preprocessing module preprocesses the acquired axial force data, temperature data, and stress-strain data of the steel support to obtain preprocessed data. The preprocessing includes filtering and outlier removal; the analysis module receives the preprocessed data and performs in-depth analysis to determine the axial force loss and obtain the judgment result; the intelligent compensation module automatically adjusts the prestress of the prestressed steel support according to the judgment result to achieve intelligent compensation for axial force loss; the real-time monitoring and display module displays the preprocessed data and the working status of the intelligent compensation module to the user in a clear graphical, chart, or numerical format in real time; the alarm module issues an alarm signal in a timely manner when the axial force loss exceeds a preset threshold or when the system malfunctions; and the storage module stores the data of system operation.

[0007] Furthermore, the implementation steps of the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports are as follows:

[0008] Step 1: The data acquisition module collects axial force data, temperature data, and stress-strain data of the prestressed steel support through axial force sensors, temperature sensors, and stress-strain sensors installed on the prestressed steel support, respectively.

[0009] Step 2: The preprocessing module preprocesses the collected axial force data, temperature data, and stress-strain data of the steel support to obtain preprocessed data. Preprocessing includes filtering and outlier removal.

[0010] Step 3: The analysis module receives the preprocessed data, performs in-depth analysis on it, determines the axial force loss, and obtains the results.

[0011] Step 4: Based on the judgment results, the intelligent compensation module automatically adjusts the prestress of the prestressed steel support to achieve intelligent compensation for axial force loss.

[0012] Step 5: The real-time monitoring and display module will display the pre-processed data and the working status of the intelligent compensation module to the user in an intuitive graphical, chart, or numerical form in real time.

[0013] Step 6: When the axial force loss exceeds the preset threshold or the system malfunctions, the alarm module will promptly issue an alarm signal.

[0014] Furthermore, the filtering process of the preprocessing module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports is specifically as follows:

[0015] 1) The collected axial force, temperature, and stress-strain data of the steel supports are filtered using the Butterworth low-pass filtering algorithm. For any set of data sequences x(n) to be processed, the filtered output sequence is... Satisfy the following difference equation:

[0016]

[0017] in: It is a zero-point number;

[0018] The number of poles;

[0019] and These are the filter coefficients.

[0020] 2) By setting an appropriate cutoff frequency threshold, high-frequency noise components above the cutoff frequency threshold are removed from the axial force data, temperature data, and stress-strain data to obtain filtered and denoised data.

[0021] Furthermore, the outlier removal process in the preprocessing module of the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports specifically involves:

[0022] 1) Remove outliers from the collected axial force, temperature, and stress-strain data of the steel supports. The criterion is to calculate the mean of each data sequence after filtering. and standard deviation ,Right now:

[0023]

[0024]

[0025] in: The length of the data sequence;

[0026] For the first in the data sequence One data point;

[0027] 2) Set the threshold range as ( - , + The system identifies and removes axial force, temperature, and stress-strain data that exceed the threshold range as outliers.

[0028] Furthermore, the in-depth analysis and processing of the analysis module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports specifically includes:

[0029] 1) Time series analysis was performed on the collected axial force data of prestressed steel supports to establish a model of axial force variation over time. The trend of axial force variation was determined through curve fitting and statistical analysis. Assuming the axial force data F(t) varies with time t, a linear regression model was adopted:

[0030]

[0031] in: The slope;

[0032] The intercept is...

[0033] 2) Obtained by fitting the data using the least squares method and The value; combined with the temperature data collected by the temperature sensor. Analyze the effect of temperature on axial force To mitigate the impact of temperature, a temperature-axial force relationship model is established to perform temperature compensation correction on the axial force data. The model formula is as follows:

[0034]

[0035] in: This is the axial force value after temperature compensation;

[0036] The measured axial force value;

[0037] This is the temperature compensation coefficient;

[0038] For reference temperature;

[0039] 3) Based on the stress and strain data collected by the stress and strain sensor and combined with the mechanical property parameters of the material, calculate the actual stress state of the steel support;

[0040] 4) Compare the processed axial force data with the preset axial force threshold to determine whether the axial force loss exceeds the allowable range.

[0041] Furthermore, the analysis module in the intelligent compensation and real-time monitoring system for axial force loss of the prestressed steel support determines the axial force loss by calculating the actual stress state of the steel support based on the stress-strain data collected by the stress-strain sensor and the mechanical property parameters of the material. Specifically:

[0042] 1) Based on the obtained elastic modulus E of the steel support material and the measured strain data ε, the stress τ at each position of the steel support is calculated using the formula τ=Eε.

[0043] 2) Divide the steel support into several micro-segments along the axial direction. For any given micro-segment, let its length be Δl and its cross-sectional area be A. The stresses at both ends of this micro-segment are respectively... and ;

[0044] 3) According to the principle of cross-sectional force equilibrium, at any cross-section of the micro-segment, the resultant force of the internal forces on both sides of the cross-section is equal. That is, for this micro-segment, taking the axial direction along the steel support as positive, the formula is:

[0045]

[0046] in: The internal forces acting on the left side section of the micro-segment;

[0047] The internal forces acting on the right-side section of the micro-segment;

[0048] 4) Calculate the internal forces of each micro-segment of the steel support by integration. Fix one end of the steel support, and starting from the fixed end, integrate and sum the forces of each micro-segment along the axial direction. For the th... The formula for the increment of internal force in a micro-segment is:

[0049]

[0050] in: and These represent the stresses on the right and left sections of the micro-segment, respectively.

[0051] 5) Actual axial force Equal to the initial axial force at the fixed end section, the formula is:

[0052]

[0053] If there is no external force acting on the fixed end, the result is 0, plus the algebraic sum of the internal force increments of all micro-segments from the fixed end to the calculation section.

[0054] Furthermore, the specific process of automatically adjusting the prestress of the prestressed steel support by the intelligent compensation module in the intelligent compensation and real-time monitoring system for axial force loss of the prestressed steel support is as follows:

[0055] 1) When the axial force loss does not exceed the first preset threshold At this time, a fine-tuning compensation method is adopted, which involves controlling miniature hydraulic jacks installed at both ends of the steel support to slowly increase or decrease the prestress, with each adjustment being made by a small amount. Not exceeding the total prestress 5%;

[0056] 2) When the axial force loss exceeds the first preset threshold However, it did not exceed the second preset threshold. At that time, a medium-scale adjustment compensation method was adopted to control the medium-sized hydraulic jack to make a relatively large adjustment of the prestress, the adjustment amount... In total prestressing Between 5% and 15%;

[0057] 3) When the axial force loss exceeds the second preset threshold At that time, a large-scale adjustment compensation method was adopted, and a large hydraulic jack was started to quickly adjust the prestress to near the design value to ensure the structural safety of the steel support.

[0058] Furthermore, the real-time monitoring and display module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports displays the preprocessed data and the working status of the intelligent compensation module to the user in a clear graphical, chart, or numerical format in real time.

[0059] 1) Display key parameters such as axial force F, temperature T, and stress-strain ε of the current steel support in real time in digital form. The digital display accuracy is set according to the requirements of different parameters, and the axial force display accuracy is not less than 0.1kN.

[0060] 2) The curves showing the changes in axial force over time (F(t), temperature (T(t), and stress-strain (ε(t))) are displayed as graphs. Users can select different time ranges. , View and analyze the curve type;

[0061] 3) Display the distribution of axial force loss and the comparison of axial force under different working conditions in the form of bar charts or pie charts, so that users can intuitively understand the working status of steel supports;

[0062] 4) The working status of the intelligent compensation module is displayed in the form of indicator lights or animations, showing the status of compensation start, compensation in progress, compensation completed, etc., and at the same time, the compensation strategy and compensation amount ΔF currently used are displayed.

[0063] Furthermore, the alarm module in the intelligent compensation and real-time monitoring system for axial force loss of the prestressed steel support will promptly issue an alarm signal when the axial force loss exceeds a preset threshold or when the system malfunctions. Specifically:

[0064] 1) When the axial force loss exceeds the preset safety threshold When the alarm is activated, it will send an audible and visual alarm signal. The audible alarm will use a high-decibel siren, and the visual alarm will use a red flashing indicator light. At the same time, it will send alarm information to the preset user's mobile phone or terminal device via SMS, email or APP push.

[0065] 2) When the system malfunctions, such as sensor damage, data transmission interruption, or power failure, it will issue audible and visual alarm signals of different frequencies and tones to distinguish different types of faults and clearly indicate the fault type and location in the alarm information.

[0066] 3) When the intelligent compensation module malfunctions during the compensation process, and the compensation amount exceeds the preset range... , In cases where the compensation period is too long, an alarm will be issued in a timely manner to remind users to check and handle the situation.

[0067] The benefits of this application are:

[0068] 1. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports comprehensively collects relevant data of steel supports through multiple sensors - axial force sensor, temperature sensor and stress-strain sensor, and can accurately obtain the axial force, temperature and stress-strain information of steel supports under different working conditions;

[0069] 2. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports enables engineers to understand the actual stress of the steel supports in real time, promptly detect potential axial force loss problems, and avoid safety accidents such as structural instability and collapse caused by insufficient or abnormal changes in axial force, thus providing a solid guarantee for the safe operation of the engineering structure.

[0070] 3. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports automatically adjusts the prestress based on the judgment results, eliminating the need for frequent manual adjustments, reducing the workload and errors of manual operation, and improving the accuracy and timeliness of adjustments;

[0071] 4. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports will issue an alarm signal in a timely manner when the axial force loss exceeds the preset threshold or when the system malfunctions. This can provide early warning of potential safety risks, giving managers enough time to take preventive measures, such as strengthening monitoring and carrying out maintenance and reinforcement, to avoid accidents and reduce project maintenance costs and risks.

[0072] 5. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports effectively saves labor costs, making the entire monitoring and compensation process more efficient and reliable. Attached Figure Description

[0073] Figure 1 This is a schematic diagram of the system workflow of the present invention;

[0074] Figure 2 This is a schematic diagram of the deep analysis and processing workflow of the analysis module of the present invention;

[0075] Figure 3This is a schematic diagram illustrating the workflow of the analysis module of this invention in calculating the actual stress state of the steel support.

[0076] Figure 4 This is a schematic diagram of the prestressing process for automatically adjusting prestressed steel supports according to the present invention.

[0077] Figure 5 This is a schematic diagram of the workflow of the real-time monitoring and display module of the present invention. Detailed Implementation

[0078] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:

[0079] like Figure 1-5 As shown, this is an intelligent compensation and real-time monitoring system for axial force loss in prestressed steel supports. The system includes a data acquisition module, a preprocessing module, an analysis module, an intelligent compensation module, a real-time monitoring and display module, an alarm module, and a storage module. The data acquisition module collects axial force data, temperature data, and stress-strain data of the prestressed steel support using axial force sensors, temperature sensors, and stress-strain sensors installed on the support. The preprocessing module preprocesses the collected axial force data, temperature data, and stress-strain data to obtain preprocessed data. The preprocessing includes filtering and outlier removal; the analysis module receives the preprocessed data and performs in-depth analysis to determine the axial force loss and obtain the judgment result; the intelligent compensation module automatically adjusts the prestress of the prestressed steel support according to the judgment result to achieve intelligent compensation for axial force loss; the real-time monitoring and display module displays the preprocessed data and the working status of the intelligent compensation module to the user in a clear graphical, chart, or numerical form in real time; the alarm module issues an alarm signal in a timely manner when the axial force loss exceeds the preset threshold or when the system malfunctions; and the storage module stores the data of system operation.

[0080] like Figure 1 As shown, the implementation steps of the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports are as follows:

[0081] Step 1: The data acquisition module collects axial force data, temperature data, and stress-strain data of the prestressed steel support through axial force sensors, temperature sensors, and stress-strain sensors installed on the prestressed steel support, respectively.

[0082] Step 2: The preprocessing module preprocesses the collected axial force data, temperature data, and stress-strain data of the steel support to obtain preprocessed data. Preprocessing includes filtering and outlier removal.

[0083] Step 3: The analysis module receives the preprocessed data, performs in-depth analysis on it, determines the axial force loss, and obtains the results.

[0084] Step 4: Based on the judgment results, the intelligent compensation module automatically adjusts the prestress of the prestressed steel support to achieve intelligent compensation for axial force loss.

[0085] Step 5: The real-time monitoring and display module will display the pre-processed data and the working status of the intelligent compensation module to the user in an intuitive graphical, chart, or numerical form in real time.

[0086] Step 6: The alarm module will promptly issue an alarm signal when the axial force loss exceeds the preset threshold or when the system malfunctions.

[0087] This invention comprehensively collects relevant data on steel supports using multiple sensors—axial force sensors, temperature sensors, and stress-strain sensors—to accurately acquire information on axial force, temperature, and stress-strain under different working conditions. This allows engineers to understand the actual stress situation of the steel supports in real time, promptly identify potential axial force loss problems, and avoid safety accidents such as structural instability and collapse caused by insufficient or abnormal changes in axial force, providing a solid guarantee for the safe operation of engineering structures. It automatically adjusts prestress based on the judgment results, eliminating the need for frequent manual adjustments, reducing the workload and errors of manual operation, and improving the accuracy and timeliness of adjustments. This not only saves labor costs but also makes the entire monitoring and compensation process more efficient and reliable. Furthermore, it promptly issues alarm signals when axial force loss exceeds a preset threshold or when the system malfunctions, providing early warning of potential safety risks and giving managers sufficient time to take preventative measures, such as strengthening monitoring and carrying out maintenance and reinforcement, to avoid accidents and reduce engineering maintenance costs and risks.

[0088] The filtering process in the preprocessing module of the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports shown is as follows:

[0089] 1) The collected axial force, temperature, and stress-strain data of the steel supports are filtered using the Butterworth low-pass filtering algorithm. For any set of data sequences x(n) to be processed, the filtered output sequence is... Satisfy the following difference equation:

[0090]

[0091] in: It is a zero-point number;

[0092] The number of poles;

[0093] and These are the filter coefficients.

[0094] 2) By setting an appropriate cutoff frequency threshold, high-frequency noise components above the cutoff frequency threshold are removed from the axial force data, temperature data, and stress-strain data to obtain filtered and denoised data.

[0095] The outlier removal process in the preprocessing module of the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports shown is as follows:

[0096] 1) Remove outliers from the collected axial force, temperature, and stress-strain data of the steel supports. The criterion is to calculate the mean of each data sequence after filtering. and standard deviation ,Right now:

[0097]

[0098]

[0099] in: The length of the data sequence;

[0100] For the first in the data sequence One data point;

[0101] 2) Set the threshold range as ( - , + The system identifies and removes axial force, temperature, and stress-strain data that exceed the threshold range as outliers.

[0102] like Figure 2 As shown, the in-depth analysis and processing of the analysis module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports is as follows:

[0103] 1) Time series analysis was performed on the collected axial force data of prestressed steel supports to establish a model of axial force variation over time. The trend of axial force variation was determined through curve fitting and statistical analysis. Assuming the axial force data F(t) varies with time t, a linear regression model was adopted:

[0104]

[0105] in: The slope;

[0106] The intercept is...

[0107] 2) Obtained by fitting the data using the least squares method and The value; combined with the temperature data collected by the temperature sensor. Analyze the effect of temperature on axial force To mitigate the impact of temperature, a temperature-axial force relationship model is established to perform temperature compensation correction on the axial force data. The model formula is as follows:

[0108]

[0109] in: This is the axial force value after temperature compensation;

[0110] The measured axial force value;

[0111] This is the temperature compensation coefficient;

[0112] For reference temperature;

[0113] 3) Based on the stress and strain data collected by the stress and strain sensor and combined with the mechanical property parameters of the material, calculate the actual stress state of the steel support;

[0114] 4) Compare the processed axial force data with the preset axial force threshold to determine whether the axial force loss exceeds the allowable range.

[0115] like Figure 3 As shown, the analysis module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports determines the axial force loss based on stress-strain data collected by stress-strain sensors and the mechanical property parameters of the material. Specifically, it calculates the actual stress state of the steel support.

[0116] 1) Based on the obtained elastic modulus E of the steel support material and the measured strain data ε, the stress τ at each position of the steel support is calculated using the formula τ=Eε.

[0117] 2) Divide the steel support into several micro-segments along the axial direction. For any given micro-segment, let its length be Δl and its cross-sectional area be A. The stresses at both ends of this micro-segment are respectively... and ;

[0118] 3) According to the principle of cross-sectional force equilibrium, at any cross-section of the micro-segment, the resultant force of the internal forces on both sides of the cross-section is equal. That is, for this micro-segment, taking the axial direction along the steel support as positive, the formula is:

[0119]

[0120] in: The internal forces acting on the left side section of the micro-segment;

[0121] The internal forces acting on the right-side section of the micro-segment;

[0122] 4) Calculate the internal forces of each micro-segment of the steel support by integration. Fix one end of the steel support, and starting from the fixed end, integrate and sum the forces of each micro-segment along the axial direction. For the th... The formula for the increment of internal force in a micro-segment is:

[0123]

[0124] in: and These represent the stresses on the right and left sections of the micro-segment, respectively.

[0125] 5) Actual axial force Equal to the initial axial force at the fixed end section, the formula is:

[0126]

[0127] If there is no external force acting on the fixed end, the result is 0, plus the algebraic sum of the internal force increments of all micro-segments from the fixed end to the calculation section.

[0128] like Figure 4 As shown, the specific process of automatic adjustment of the prestress in the prestressed steel support by the intelligent compensation module in the intelligent compensation and real-time monitoring system for axial force loss of the prestressed steel support is as follows:

[0129] 1) When the axial force loss does not exceed the first preset threshold At this time, a fine-tuning compensation method is adopted, which involves controlling miniature hydraulic jacks installed at both ends of the steel support to slowly increase or decrease the prestress, with each adjustment being made by a small amount. Not exceeding the total prestress 5%;

[0130] 2) When the axial force loss exceeds the first preset threshold However, it did not exceed the second preset threshold. At that time, a medium-scale adjustment compensation method was adopted to control the medium-sized hydraulic jack to make a relatively large adjustment of the prestress, the adjustment amount... In total prestressing Between 5% and 15%;

[0131] 3) When the axial force loss exceeds the second preset threshold At that time, a large-scale adjustment compensation method was adopted, and a large hydraulic jack was started to quickly adjust the prestress to near the design value to ensure the structural safety of the steel support.

[0132] like Figure 5 As shown, the real-time monitoring and display module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports displays the preprocessed data and the working status of the intelligent compensation module to the user in a clear graphical, chart, or numerical format in real time.

[0133] 1) Display key parameters such as axial force F, temperature T, and stress-strain ε of the current steel support in real time in digital form. The digital display accuracy is set according to the requirements of different parameters, and the axial force display accuracy is not less than 0.1kN.

[0134] 2) The curves showing the changes in axial force over time (F(t), temperature (T(t), and stress-strain (ε(t))) are displayed as graphs. Users can select different time ranges. , View and analyze the curve type;

[0135] 3) Display the distribution of axial force loss and the comparison of axial force under different working conditions in the form of bar charts or pie charts, so that users can intuitively understand the working status of steel supports;

[0136] 4) The working status of the intelligent compensation module is displayed in the form of indicator lights or animations, showing the status of compensation start, compensation in progress, compensation completed, etc., and at the same time, the compensation strategy and compensation amount ΔF currently used are displayed.

[0137] The alarm module in the intelligent compensation and real-time monitoring system for axial force loss of the prestressed steel support shown in the figure will promptly issue an alarm signal when the axial force loss exceeds a preset threshold or when the system malfunctions. Specifically:

[0138] 1) When the axial force loss exceeds the preset safety threshold When the alarm is activated, it will send an audible and visual alarm signal. The audible alarm will use a high-decibel siren, and the visual alarm will use a red flashing indicator light. At the same time, it will send alarm information to the preset user's mobile phone or terminal device via SMS, email or APP push.

[0139] 2) When the system malfunctions, such as sensor damage, data transmission interruption, or power failure, it will issue audible and visual alarm signals of different frequencies and tones to distinguish different types of faults and clearly indicate the fault type and location in the alarm information.

[0140] 3) When the intelligent compensation module malfunctions during the compensation process, and the compensation amount exceeds the preset range... , In cases where the compensation period is too long, an alarm will be issued in a timely manner to remind users to check and handle the situation.

[0141] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any other way. Any modifications or equivalent changes made based on the technical essence of the present invention shall still fall within the scope of protection claimed by the present invention.

Claims

1. A smart compensation and real-time monitoring system for axial force loss in prestressed steel supports, characterized in that: The intelligent compensation and real-time monitoring system for axial force loss of the prestressed steel support is equipped with a data acquisition module, a preprocessing module, an analysis module, an intelligent compensation module, a real-time monitoring and display module, an alarm module, and a storage module. The data acquisition module collects axial force data, temperature data, and stress-strain data of the steel support through axial force sensors, temperature sensors, and stress-strain sensors installed on the prestressed steel support, respectively. The preprocessing module preprocesses the collected axial force data, temperature data, and stress-strain data of the steel support to obtain preprocessed data. The preprocessing includes filtering and outlier removal. The analysis module receives preprocessed data and performs in-depth analysis to determine the axial force loss and obtain the judgment result. The intelligent compensation module automatically adjusts the prestress of the prestressed steel support according to the judgment result to achieve intelligent compensation for axial force loss. The real-time monitoring and display module displays the preprocessed data and the working status of the intelligent compensation module to the user in real time in an intuitive graphical, chart, or numerical form. The alarm module issues an alarm signal in a timely manner when the axial force loss exceeds a preset threshold or when the system malfunctions. The storage module stores the data of system operation.

2. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports according to claim 1, characterized in that: The implementation steps of the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports are as follows: Step 1: The data acquisition module collects axial force data, temperature data, and stress-strain data of the prestressed steel support through axial force sensors, temperature sensors, and stress-strain sensors installed on the prestressed steel support, respectively. Step 2: The preprocessing module preprocesses the collected axial force data, temperature data, and stress-strain data of the steel support to obtain preprocessed data. Preprocessing includes filtering and outlier removal. Step 3: The analysis module receives the preprocessed data, performs in-depth analysis on it, determines the axial force loss, and obtains the results. Step 4: Based on the judgment results, the intelligent compensation module automatically adjusts the prestress of the prestressed steel support to achieve intelligent compensation for axial force loss. Step 5: The real-time monitoring and display module will display the pre-processed data and the working status of the intelligent compensation module to the user in an intuitive graphical, chart, or numerical form in real time. Step 6: When the axial force loss exceeds the preset threshold or the system malfunctions, the alarm module will promptly issue an alarm signal.

3. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports according to claim 1, characterized in that: The filtering process of the preprocessing module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports is as follows: 1) The collected axial force, temperature, and stress-strain data of the steel supports are filtered using the Butterworth low-pass filtering algorithm. For any set of data sequences x(n) to be processed, the filtered output sequence is... Satisfy the following difference equation: ； in: It is a zero-point number; The number of poles; and These are the filter coefficients. 2) By setting an appropriate cutoff frequency threshold, high-frequency noise components above the cutoff frequency threshold are removed from the axial force data, temperature data, and stress-strain data to obtain filtered and denoised data.

4. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports according to claim 1, characterized in that: The outlier removal process in the preprocessing module of the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports specifically involves: 1) Remove outliers from the collected axial force, temperature, and stress-strain data of the steel supports. The criterion is to calculate the mean of each data sequence after filtering. and standard deviation ,Right now: ； ； in: The length of the data sequence; For the first in the data sequence One data point; 2) Set the threshold range as ( - , + The system identifies and removes axial force, temperature, and stress-strain data that exceed the threshold range as outliers.

5. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports according to claim 1, characterized in that: The in-depth analysis and processing of the analysis module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports specifically includes: 1) Time series analysis was performed on the collected axial force data of prestressed steel supports to establish a model of axial force variation over time. The trend of axial force variation was determined through curve fitting and statistical analysis. Assuming the axial force data F(t) varies with time t, a linear regression model was adopted: ； in: The slope; The intercept is... 2) Obtained by fitting the data using the least squares method and The value; combined with the temperature data collected by the temperature sensor. Analyze the effect of temperature on axial force To mitigate the impact of temperature, a temperature-axial force relationship model is established to perform temperature compensation correction on the axial force data. The model formula is as follows: ； in: This is the axial force value after temperature compensation; The measured axial force value; This is the temperature compensation coefficient; For reference temperature; 3) Based on the stress and strain data collected by the stress and strain sensor and combined with the mechanical property parameters of the material, calculate the actual stress state of the steel support; 4) Compare the processed axial force data with the preset axial force threshold to determine whether the axial force loss exceeds the allowable range.

6. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports according to claim 1, characterized in that: The analysis module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports determines the axial force loss based on stress and strain data collected by stress and strain sensors, combined with the mechanical property parameters of the material, and calculates the actual stress state of the steel support. Specifically: 1) Based on the obtained elastic modulus E of the steel support material and the measured strain data ε, the stress τ at each position of the steel support is calculated using the formula τ=Eε. 2) Divide the steel support into several micro-segments along the axial direction. For any given micro-segment, let its length be Δl and its cross-sectional area be A. The stresses at both ends of this micro-segment are respectively... and ; 3) According to the principle of cross-sectional force equilibrium, at any cross-section of the micro-segment, the resultant force of the internal forces on both sides of the cross-section is equal. That is, for this micro-segment, taking the axial direction along the steel support as positive, the formula is: ； in: The internal forces acting on the left side section of the micro-segment; The internal forces acting on the right-side section of the micro-segment; 4) Calculate the internal forces of each micro-segment of the steel support by integration. Fix one end of the steel support, and starting from the fixed end, integrate and sum the forces of each micro-segment along the axial direction. For the th... The formula for the increment of internal force in a micro-segment is: ； in: and These represent the stresses on the right and left sections of the micro-segment, respectively. 5) Actual axial force Equal to the initial axial force at the fixed end section, the formula is: ； If there is no external force acting on the fixed end, the result is 0, plus the algebraic sum of the internal force increments of all micro-segments from the fixed end to the calculation section.

7. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports according to claim 1, characterized in that: The specific process of automatic adjustment of the prestress of the prestressed steel support by the intelligent compensation module in the intelligent compensation and real-time monitoring system for axial force loss of the prestressed steel support is as follows: 1) When the axial force loss does not exceed the first preset threshold At this time, a fine-tuning compensation method is adopted, which involves controlling miniature hydraulic jacks installed at both ends of the steel support to slowly increase or decrease the prestress, with each adjustment being made by a small amount. Not exceeding the total prestress 5%; 2) When the axial force loss exceeds the first preset threshold However, it did not exceed the second preset threshold. At that time, a medium-scale adjustment compensation method was adopted to control the medium-sized hydraulic jack to make a relatively large adjustment of the prestress, the adjustment amount... In total prestressing Between 5% and 15%; 3) When the axial force loss exceeds the second preset threshold At that time, a large-scale adjustment compensation method was adopted, and a large hydraulic jack was started to quickly adjust the prestress to near the design value to ensure the structural safety of the steel support.

8. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports according to claim 1, characterized in that: The real-time monitoring and display module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports displays the preprocessed data and the working status of the intelligent compensation module to the user in a clear graphical, chart, or numerical format in real time. 1) Display key parameters such as axial force F, temperature T, and stress-strain ε of the current steel support in real time in digital form. The digital display accuracy is set according to the requirements of different parameters, and the axial force display accuracy is not less than 0.1kN. 2) The curves showing the changes in axial force over time (F(t), temperature (T(t), and stress-strain (ε(t))) are displayed as graphs. Users can select different time ranges. , View and analyze the curve type; 3) Display the distribution of axial force loss and the comparison of axial force under different working conditions in the form of bar charts or pie charts, so that users can intuitively understand the working status of steel supports; 4) The working status of the intelligent compensation module is displayed in the form of indicator lights or animations, showing the status of compensation start, compensation in progress, compensation completed, etc., and at the same time, the compensation strategy and compensation amount ΔF currently used are displayed.

9. The intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports according to claim 1, characterized in that: The alarm module in the intelligent compensation and real-time monitoring system for axial force loss of prestressed steel supports promptly issues an alarm signal when the axial force loss exceeds a preset threshold or when the system malfunctions. Specifically: 1) When the axial force loss exceeds the preset safety threshold When the alarm is activated, it will send an audible and visual alarm signal. The audible alarm will use a high-decibel siren, and the visual alarm will use a red flashing indicator light. At the same time, it will send alarm information to the preset user's mobile phone or terminal device via SMS, email or APP push. 2) When the system malfunctions, such as sensor damage, data transmission interruption, or power failure, it will issue audible and visual alarm signals of different frequencies and tones to distinguish different types of faults and clearly indicate the fault type and location in the alarm information. 3) When the intelligent compensation module malfunctions during the compensation process, and the compensation amount exceeds the preset range... , In cases where the compensation period is too long, an alarm will be issued in a timely manner to remind users to check and handle the situation.

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