Main arch section high support installation control method

Abstract

The invention discloses a main arch section high support installation control method, which comprises the following steps: S1, obtaining design parameters of a main arch section, structure parameters of a high support and installation environment data, and preprocessing the data; s2, based on the preprocessed data, dividing installation batches of the main arch sections and supporting units of high supports, and determining the supporting positions of the high supports corresponding to the main arch sections of all the installation batches; and S3, posture data and high support stress data in the main arch segment installation process are collected, and the dynamic change rule of the data is captured through the time sequence analysis model. According to the main arch section high support installation control method, the dynamic change rule of the data can be accurately captured by collecting the attitude data of the main arch section and the stress data of the high support in real time and combining the time sequence analysis model, any abnormity in the installation process can be effectively monitored, and it is ensured that the main arch section is accurately installed according to design requirements.

Description

A method for controlling the installation of high supports for main arch segments Technical Field

[0001] This invention relates to the field of intelligent construction of bridge engineering, and more specifically, to a method for controlling the installation of high supports for main arch segments. Background Technology

[0002] In the construction of large structures, the installation of the main arch segment is a crucial and complex step. The main arch segment is typically large and heavy, placing extremely high demands on the support system. Any deviation in the support force can lead to displacement or deformation during installation, thereby affecting the safety and stability of the overall structure. Therefore, effectively monitoring and controlling the support force of the high-support structure and the installation posture of the main arch segment dynamically has become a significant technical challenge in construction.

[0003] Existing methods for installing main arch segments typically rely on manual or semi-automatic control, which suffers from drawbacks such as low precision, inability to provide real-time feedback on changes during construction, and slow adjustment response. This makes it difficult to guarantee high precision and efficiency during installation and also increases construction risks. Therefore, a new method is urgently needed to improve installation accuracy, monitor and adjust the support force of the high-support structure and the segment posture in real time, thereby ensuring that the main arch segments can be installed safely and accurately. Summary of the Invention

[0004] The purpose of this invention is to provide a method for controlling the installation of high supports for main arch segments, which solves the problems of existing main arch segment installation methods that usually rely on manual or semi-automatic control, resulting in low accuracy, inability to provide real-time feedback on changes during construction, and slow adjustment response speed.

[0005] This invention achieves the above objectives through the following technical solution: a method for controlling the installation of a high support structure for a main arch segment, the method comprising: S1, acquiring design parameters of the main arch segment, structural parameters of the high support structure, and installation environment data, and preprocessing the data; S2, based on the preprocessed data, dividing the main arch segment into installation batches and the support units of the high support structure, and determining the support position of the high support structure corresponding to each installation batch of the main arch segment; S3, collecting attitude data and stress data of the high support structure during the installation process of the main arch segment, capturing the dynamic change pattern of the data through a time-series analysis model, and generating monitoring signals; S4, combining the monitoring signals, adjusting the support force of the high support structure and the installation attitude of the main arch segment through an adaptive control module using a deviation correction algorithm and a multi-objective optimization mechanism, and generating dynamic control commands; S5, completing the precise installation of the main arch segment through an actuator responding to the dynamic control commands, verifying the installation accuracy through a detection module, and outputting the installation control results.

[0006] Furthermore, obtaining the original data set includes the following steps: obtaining the design parameters of the main arch segment, including segment length, cross-sectional dimensions, and weight distribution; obtaining the structural parameters of the high support, including support height, support point spacing, and bearing capacity; obtaining installation environment data, including temperature, wind speed, and ground settlement; and normalizing the obtained design parameters, structural parameters, and installation environment data.

[0007] Furthermore, in step S3, generating a monitoring signal specifically includes the following steps: setting sensors at preset key locations on the main arch segment and the high support to collect attitude data of the main arch segment and stress data of the high support during the installation process; using a time series analysis model to analyze the attitude data and stress data, sorting out the changing trends and correlations of the data according to the time series, and capturing the dynamic change patterns of the data; based on the dynamic change patterns of the data, combined with preset monitoring thresholds and safety standards, generating a monitoring signal, which is used to reflect whether the installation process of the main arch segment is in a normal state.

[0008] Furthermore, in step S4, dynamic control commands are generated, specifically including the following steps: based on the monitoring signals, a deviation correction algorithm is used to analyze the deviation between the actual value of the high-support support force and the theoretical set value, as well as the deviation between the actual parameters and ideal parameters of the main arch segment installation posture, to determine the direction and degree of deviation; a multi-objective optimization mechanism is adopted to construct a multi-objective optimization model; based on the deviation analysis results and the multi-objective optimization model, the adaptive control module automatically generates adjustment strategies for the high-support support force and correction strategies for the main arch segment installation posture; based on the adjustment and correction strategies, the adaptive control module generates specific dynamic control commands to adjust the change in support force of each support unit of the high-support support and the posture adjustment parameters of each key part of the main arch segment.

[0009] Furthermore, the deviation correction algorithm adopts the least squares deviation correction algorithm.

[0010] Furthermore, the degree of support force deviation is classified as follows: deviation rate ≤ 5% is slight deviation, 5% < deviation rate ≤ 10% is moderate deviation, and deviation rate > 10% is severe deviation.

[0011] Furthermore, the adjustment strategy is determined based on the degree of deviation, specifically including: proportional adjustment for minor deviations, proportional-integral adjustment for moderate deviations, and proportional-integral-derivative adjustment for severe deviations.

[0012] Furthermore, step S5 includes the following steps: after receiving the dynamic control command, the actuator parses it into specific operation commands for each adjustment part, and drives the hydraulic or electric adjustment device of the high support and the attitude fine-tuning mechanism of the main arch segment to start operation; during the execution process, the changes in the support force of the high support and the adjustment of the attitude of the main arch segment are monitored in real time to ensure that the operation is executed accurately according to the dynamic control command.

[0013] Furthermore, step S5 also includes the following steps: setting up a detection module, using three-dimensional scanning technology to collect all-round detection data of the installed main arch segment, and obtaining its spatial position and geometric dimension data; comparing and analyzing the detection data with the preset installation accuracy standard to determine whether the main arch segment meets the requirements for precise installation.

[0014] Furthermore, determining whether the main arch segment meets the requirements for precise installation involves the following steps: if it does not meet the requirements, a feedback signal is generated to re-trigger the adaptive control module to generate adjustment instructions; if the test is qualified, an installation control result report containing installation process data and test results is output.

[0015] The beneficial effects of this invention are as follows: 1. By collecting the attitude data of the main arch segment and the stress data of the high support in real time, and combining them with the time series analysis model, the dynamic change pattern of the data can be accurately captured, any abnormality in the installation process can be effectively monitored, and the main arch segment can be accurately installed in accordance with the design requirements.

[0016] 2. This invention uses an adaptive control module, a deviation correction algorithm and a multi-objective optimization mechanism to adjust the support force of the high support frame and the installation posture of the main arch segment in real time, so that the entire installation process has high flexibility and responsiveness and can effectively cope with complex and ever-changing construction environments.

[0017] 3. By combining 3D scanning technology to accurately inspect the installed main arch segments and compare them with preset accuracy standards, it can be ensured that each installation link meets the accuracy requirements, reduce installation errors, and improve project quality.

[0018] 4. By real-time monitoring and adjustment of the support force of the high support frame and the posture of the main arch segment, this invention can effectively avoid safety accidents caused by insufficient support force or abnormal installation posture, and improve the safety and stability of the entire installation process.

[0019] 5. Through precise control and dynamic adjustment, rework caused by installation deviations can be effectively reduced, construction efficiency can be improved, project duration can be shortened, and construction costs can be reduced. Attached Figure Description

[0020] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 is a flowchart of the method of the present invention; Figure 2 is a flowchart of the detection and feedback process of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. 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.

[0022] Example 1: Please refer to Figures 1-2. This invention provides a technical solution: a method for controlling the installation of a high support structure for a main arch segment. The method includes: S1. Obtaining the design parameters of the main arch segment, the structural parameters of the high support structure, and installation environment data, and preprocessing the data; wherein, the main arch segment is a component of the main arch in arch structures such as bridges, where the main arch is the arch-shaped member bearing the main load. The main arch segment is manufactured, transported, and installed by dividing the main arch into multiple segments, facilitating construction operations; design parameters refer to the parameters determined during the design phase of the main arch segment; the high support structure is used to support the main arch segment during installation, providing a stable support platform for the segment. To ensure safety and stability during installation; structural parameters refer to the various parameters of the high-support structure itself, including its height, span, support type, member dimensions, and connection method; installation environment data refers to various environmental conditions at the main arch segment installation site, such as temperature, humidity, wind speed, wind direction, geological conditions, and surrounding obstacles. These environmental factors will affect the installation process and quality of the main arch segment; data preprocessing involves cleaning, converting, and standardizing the obtained main arch segment design parameters, high-support structure parameters, and installation environment data to remove noisy data, handle missing values, and unify data formats, making the data more suitable for subsequent analysis and processing; S2, based on the preprocessed data... Based on the data, the installation batches of the main arch segments and the support units of the high-rise supports were divided, and the support positions of the high-rise supports corresponding to the main arch segments in each installation batch were determined. The installation batches were determined based on factors such as the number, size, and weight of the main arch segments, as well as the installation sequence and construction schedule. The main arch segments were divided into several batches for installation, with each batch containing a certain number of segments, facilitating construction management and quality control. The support units were independent structural parts on the high-rise supports used to directly support the main arch segments. A high-rise support may consist of multiple support units, each of which could independently adjust its support force and position to adapt to the installation requirements of different segments. The support positions of the high-rise supports were determined based on the design parameters and installation requirements of the main arch segments. The requirements are as follows: S1. Determine the corresponding support point positions of the main arch segments on the high support for each installation batch to ensure stable support during installation; S2. Collect attitude data of the main arch segments and force data of the high support during installation, and capture the dynamic change patterns of the data through a time-series analysis model to generate monitoring signals; Attitude data reflects the spatial position and attitude information of the main arch segments during installation, typically including the translational position and rotation angle of the segments, and is collected in real time by sensors; Force data of the high support includes the magnitude and direction of the forces borne by the high support during the support of the main arch segments, including the supporting force of the support unit and the internal forces of the support structure, and can be collected by force sensors.A time-series analysis model is a mathematical model used to analyze data sequences that change over time. By analyzing the time series of the main arch segment's attitude data and the high-support stress data, it captures the dynamic changes of the data at different time points, such as trends, periodicity, and fluctuations, thereby generating monitoring signals that reflect the installation process status. These monitoring signals are generated after analyzing and processing the collected data according to the time-series analysis model. They are used to reflect the attitude changes of the main arch segment and the stress on the high-support during the installation process in real time, providing a basis for subsequent control adjustments. S4. Combining the monitoring signals, the adaptive control module utilizes a deviation correction algorithm and a multi-objective optimization mechanism. The method involves adjusting the support force of the high-support structure and the installation posture of the main arch segment to generate dynamic control commands. The adaptive control module is a control module capable of automatically adjusting the control strategy based on real-time system status and environmental changes. In this method, it senses deviations in the main arch segment installation process in real time based on monitoring signals and automatically adjusts control parameters to achieve precise control of the installation process. The deviation correction algorithm calculates the deviation between the actual posture and force of the main arch segment during installation and the expected target, and generates corresponding correction signals based on the magnitude and direction of the deviation to guide the adjustment of the support force of the high-support structure and the installation posture of the main arch segment, gradually bringing the installation process closer to the expected target. The target optimization mechanism considers multiple objectives simultaneously during the installation of the main arch segment, such as installation accuracy, construction safety, and construction efficiency. Dynamic control commands are generated by the adaptive control module based on monitoring signals, using a deviation correction algorithm and a multi-objective optimization mechanism. These commands are used to adjust the support force of the high-support structure and the installation posture of the main arch segment. These commands are transmitted to the actuators in real time to achieve dynamic control of the installation process. S5: The actuators respond to the dynamic control commands to complete the precise installation of the main arch segment, and the installation accuracy is verified by the detection module, outputting the installation control results. The actuators are devices or apparatuses that actually perform adjustment operations according to the dynamic control commands. In this method, the actuators may include hydraulic jacks and electric push rods on the high support frame, used to adjust the supporting force of the high support frame; the detection module is a device or system used to detect the installation accuracy of the main arch segment. High-precision measuring instruments are typically used to measure parameters such as the installation position and orientation of the main arch segment, and the measurement results are compared with the design requirements to verify whether the installation accuracy meets the requirements; the installation control results are the output after the detection module verifies the installation accuracy of the main arch segment, including a judgment on whether the installation accuracy is qualified, as well as relevant measurement data and analysis reports, used to evaluate the quality and effect of the installation process, and to provide a basis for subsequent construction adjustments or experience summarization.

[0023] It should be noted that during operation, various types of data are comprehensively acquired and preprocessed to provide an accurate foundation for subsequent operations, reduce error interference, rationally divide installation batches and support units and determine their positions to ensure orderly installation and improve construction efficiency. Key data is collected and monitoring signals are generated to monitor the installation dynamics in real time. With the help of adaptive control modules, deviation correction algorithms and multi-objective optimization mechanisms, the support force and attitude are precisely adjusted to ensure the achievement of multiple objectives such as installation quality and safety. The actuator responds to commands to complete precise installation, and the detection module verifies the accuracy and outputs results for evaluation and improvement. The overall design realizes scientific, precise and intelligent control of the installation process.

[0024] In one embodiment, the acquisition of design parameters for the main arch segment, structural parameters for the high support structure, and installation environment data, followed by data preprocessing, includes: acquiring the design parameters for the main arch segment, including segment length (single segment length range 8-20m, allowable error range ±50mm), cross-sectional dimensions (cross-sectional height 2-5m, width 1.5-3m, dimensional error ≤3% of design value), and weight distribution (weight per unit length 5-15t / m, weight distribution non-uniformity ≤8%); and acquiring the structural parameters for the high support structure, including support height (10-50m, height deviation ≤2‰ of design height), and support point spacing (2-6m, spacing error ±...). 30mm), bearing capacity (vertical bearing capacity of a single support unit is 50-200t, and lateral bearing capacity is 20-80t); acquire installation environment data, including temperature (-10-40℃, real-time acquisition frequency 1 time / 5min), wind speed (wind speed at a monitoring height of 10m, maximum allowable wind speed ≤12m / s, warning triggered when wind speed exceeds the limit), and ground settlement (monitoring frequency 1 time / 2h, single settlement ≤2mm, cumulative settlement ≤10mm); normalize the acquired design parameters, structural parameters and installation environment data using the Z-score standardization method to make the data mean 0 and the standard deviation 1, eliminating the influence of dimensions.

[0025] This design allows for the acquisition of the range and error of design and structural parameters of the main arch segment and high support, as well as installation environment data. Z-score standardization is then used to precisely define parameter ranges and errors, ensuring data accuracy and providing a reliable basis for subsequent installation. Standardization eliminates the influence of dimensions, making different data comparable, facilitating comprehensive analysis, identifying potential problems in advance, optimizing installation plans, improving the safety and stability of the installation process, reducing installation deviations caused by inaccurate or inconsistent data, and enhancing overall installation quality and efficiency.

[0026] In one embodiment, step S3, generating a monitoring signal, specifically includes the following steps: Sensors are installed at preset key locations on the main arch segment and the high support to collect attitude data of the main arch segment and stress data of the high support during installation. The key locations on the main arch segment include the two ends of the segment, the mid-span section, and the 1 / 4-span section (three sensors are installed at each section, arranged in an equilateral triangle). The key locations on the high support include the top, middle, and bottom connection nodes of each support unit (one pressure sensor and one displacement sensor are installed at each node). The sensor acquisition frequency is 10Hz, and the data accuracy is: displacement measurement error ≤ 0.1mm, pressure measurement error ≤ 1% of the range. The attitude and stress data are analyzed using an ARIMA time-series analysis model to analyze the changing trends and correlations of the data according to the time series, capturing the dynamic change patterns of the data. The ARIMA time-series analysis model has a model order of [missing information]. With p=2, d=1, and q=2, the training dataset has ≥500 samples. Trend analysis uses the sliding window method (window size 30s), and correlation analysis uses the Pearson correlation coefficient (an absolute value of the correlation coefficient ≥0.7 is considered a strong correlation). Based on the dynamic changes in the data, combined with preset monitoring thresholds and safety standards, monitoring signals are generated to reflect whether the main arch segment installation process is in a normal state. The monitoring thresholds include the high support force threshold (80% of the bearing limit; exceeding the threshold triggers a level one warning; exceeding 90% of the bearing limit triggers a level two warning) and the main arch segment attitude deviation threshold (vertical displacement deviation ≤5mm, horizontal displacement deviation ≤3mm, rotation angle deviation ≤0.1°; exceeding the threshold triggers a warning). The safety standards comply with the relevant requirements for arch bridge installation in the "Technical Specifications for Construction of Highway Bridges and Culverts" (JTG / T3650-2020).

[0027] This design employs ARIMA model analysis, combined with thresholds and standards to generate monitoring signals. The rational arrangement of sensors enables comprehensive and accurate collection of attitude and force data, ensuring data reliability. The ARIMA model effectively captures dynamic changes in data, providing a scientific basis for monitoring. Preset thresholds and standards can promptly reflect the installation status, and any abnormalities can be quickly triggered to provide early warnings, allowing staff to take timely measures to prevent accidents and ensure the safe and smooth installation of the main arch segment.

[0028] In one embodiment, step S4, generating dynamic control commands, specifically includes the following steps: based on the monitoring signal, applying a least squares deviation correction algorithm (goodness-of-fit R²) 2≥0.95, correction iterations ≤5 times), analyze the deviation between the actual value and theoretical set value of the high support force, and the deviation between the actual parameters and ideal parameters of the main arch segment installation posture, determine the direction and degree of deviation, and classify the degree of support force deviation as follows: deviation rate ≤5% is slight deviation, 5% < deviation rate ≤10% is moderate deviation, and deviation rate >10% is severe deviation; classify the degree of posture deviation as follows: deviation value ≤2mm (or 0.05°) is slight deviation, 2mm (or 0.05°) < deviation value ≤5mm (or 0.1°) is moderate deviation, and deviation value >5mm (or 0.1°) is severe deviation; adopt a weighted summation multi-objective optimization mechanism to construct a multi-objective optimization model. The objective function of the model includes minimizing the support force deviation (weight coefficient 0.4), minimizing the posture deviation (weight coefficient 0.3), and minimizing the adjustment energy consumption (weight coefficient 0.3). The constraints include support force ≤ bearing limit, posture deviation ≤ threshold, and adjustment speed ≤5mm / min; according to Based on the deviation analysis results and the multi-objective optimization model, the adaptive control module automatically generates adjustment strategies for the support force of the high-rise support (slight deviations are adjusted proportionally, with an adjustment range of 50%-80% of the deviation value; moderate deviations are adjusted proportional-integral, with an adjustment range of 80%-100% of the deviation value; severe deviations are adjusted proportional-integral-derivative, with an adjustment range of 100%-120% of the deviation value) and correction strategies for the installation posture of the main arch segment (vertical displacement deviations are adjusted synchronously using hydraulic jacks, horizontal displacement deviations are adjusted using lateral pushing devices, and angular deviations are adjusted using differentiated supports at both ends). According to the adjustment and correction strategies, the adaptive control module generates specific dynamic control commands, specifying the change in support force of each support unit of the high-rise support (single adjustment amount ≤10t, continuous adjustment interval ≥30s) and the posture adjustment parameters of each key part of the main arch segment (vertical adjustment amount ≤3mm / time, horizontal adjustment amount ≤2mm / time, angular adjustment amount ≤0.05° / time).

[0029] This design, based on monitoring signals, uses a deviation correction algorithm to analyze deviations and a weighted summation optimization mechanism to generate dynamic control commands. The deviation correction algorithm can accurately determine the direction and degree of deviation, providing precise direction for adjustment. The weighted summation optimization mechanism comprehensively considers multiple objectives and balances the relationship between various factors, making the adjustment strategy more scientific and reasonable. The adaptive control module automatically generates commands based on the analysis results, which can quickly respond to changes in the installation process and achieve precise adjustment of the support force of the high support frame and the attitude of the main arch segment, improving installation accuracy and efficiency.

[0030] In one embodiment, step S5 includes the following steps: After receiving the dynamic control command, the actuator parses it into specific operation commands for each adjustment part within 100ms, driving the hydraulic adjustment device (working pressure range 10-30MPa, flow control accuracy ±0.5L / min) or electric adjustment device (motor speed control accuracy ±5r / min, torque control accuracy ±2N・m) of the high support and the attitude fine-tuning mechanism of the main arch segment (fine-tuning accuracy ≤0.1mm) to start operation; During the execution process, the change of the support force of the high support (monitoring frequency 10Hz) and the adjustment of the attitude of the main arch segment (monitoring frequency 10Hz) are monitored in real time by sensors. When the actual adjustment value deviates from the command target value by more than ±0.2mm (or ±0.02°, ±1t), the actuator automatically pauses and feeds back the deviation signal. After the deviation is corrected, the operation is resumed to ensure that the operation is executed accurately according to the dynamic control command.

[0031] This design allows the actuator to quickly parse commands and drive the corresponding devices to operate. During execution, it monitors in real time and automatically pauses to provide feedback on deviations. The actuator's rapid command parsing ensures timely response to control requirements and precise operation of the devices. Real-time monitoring allows for constant monitoring of adjustments, and automatic pause and feedback when deviations occur prevent further escalation of erroneous adjustments. This ensures that operations are executed precisely according to commands, improves the controllability of the installation process, reduces human intervention and operational errors, enhances the accuracy and stability of installation, and guarantees the installation quality of the main arch segment.

[0032] In one embodiment, step S5 further includes the following steps: setting up a detection module, using three-dimensional laser scanning technology to collect omnidirectional detection data of the installed main arch segment, and obtaining its spatial position and geometric dimensions; comparing and analyzing the detection data with the preset installation accuracy standard to determine whether the main arch segment meets the requirements for precise installation; wherein, the installation accuracy standard meets the requirements for first-class welds and high-strength bolt connections in the "Standard for Acceptance of Construction Quality of Steel Structures" GB50205-2020, and the deviation limit for arch bridge installation in the "Standard for Quality Inspection and Evaluation of Highway Engineering" JTGF80 / 1-2017; if the standard is not met (the deviation exceeds the standard limit), a feedback signal is generated to clarify the deviation location, deviation value and deviation type, and the adaptive control module is re-triggered to generate adjustment instructions, with a maximum of 3 adjustments; if the detection is qualified, an installation control result report is output, which includes installation process data (time nodes of each stage, sensor data, control instruction records), detection results (coordinates of detection points, dimensional deviation values, and qualification judgment conclusions), and the report format meets the requirements for archiving engineering technical documents.

[0033] This design employs 3D laser scanning to detect installation results, comparing them with standards. If the results do not meet the standards, adjustments are made accordingly; if they do meet the standards, a report is generated. 3D laser scanning technology can acquire main arch segment data from all angles, comprehensively and accurately detecting installation precision. Comparison with standards clearly determines whether the standards are met. Feedback signals when standards are not met can trigger timely adjustments to ensure installation quality. Detailed reports are generated for easy review and experience summarization, providing a basis for project acceptance and subsequent maintenance. This design meets the requirements for archiving engineering technical documents and is conducive to the standardization and normalization of project management.

[0034] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0035] The above embodiments provide a detailed description of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for controlling the installation of a high support frame for a main arch segment, characterized in that, The method includes: S1. Acquiring the design parameters of the main arch segment, the structural parameters of the high support, and the installation environment data, and preprocessing the data; S2. Based on the preprocessed data, dividing the main arch segment into installation batches and the support units of the high support, and determining the support position of the high support corresponding to each installation batch of the main arch segment; S3. Collecting the attitude data of the main arch segment and the force data of the high support during the installation process, capturing the dynamic change law of the data through a time series analysis model, and generating monitoring signals; S4. Combining the monitoring signals, adjusting the support force of the high support and the installation attitude of the main arch segment through an adaptive control module using a deviation correction algorithm and a multi-objective optimization mechanism, and generating dynamic control commands; S5. Responding to the dynamic control commands through the actuator to complete the precise installation of the main arch segment, verifying the installation accuracy through a detection module, and outputting the installation control results.

2. The method for controlling the installation of a high support frame for a main arch segment according to claim 1, characterized in that, Obtaining the original data set includes the following steps: obtaining the design parameters of the main arch segment, including segment length, cross-sectional dimensions, and weight distribution; obtaining the structural parameters of the high support, including support height, support point spacing, and bearing capacity; obtaining installation environment data, including temperature, wind speed, and ground settlement; and normalizing the obtained design parameters, structural parameters, and installation environment data.

3. The method for controlling the installation of a high support frame for a main arch segment according to claim 1, characterized in that, In step S3, a monitoring signal is generated, which specifically includes the following steps: Sensors are set at preset key locations on the main arch segment and the high support to collect attitude data of the main arch segment and stress data of the high support during the installation process; the attitude data and stress data are analyzed using a time series analysis model; the changing trends and correlations of the data are sorted out according to the time series to capture the dynamic change patterns of the data; based on the dynamic change patterns of the data, combined with preset monitoring thresholds and safety standards, a monitoring signal is generated. The monitoring signal is used to reflect whether the installation process of the main arch segment is in a normal state.

4. The method for controlling the installation of a high support frame for a main arch segment according to claim 1, characterized in that, In step S4, dynamic control commands are generated, specifically including the following steps: Based on the monitoring signals, a deviation correction algorithm is used to analyze the deviation between the actual value and the theoretical set value of the high-support support force, as well as the deviation between the actual parameters and the ideal parameters of the main arch segment installation posture, to determine the direction and degree of deviation; a multi-objective optimization mechanism is adopted to construct a multi-objective optimization model; based on the deviation analysis results and the multi-objective optimization model, the adaptive control module automatically generates adjustment strategies for the high-support support force and correction strategies for the main arch segment installation posture; based on the adjustment and correction strategies, the adaptive control module generates specific dynamic control commands to adjust the change in support force of each support unit of the high-support support and the posture adjustment parameters of each key part of the main arch segment.

5. The method for controlling the installation of a high support frame for a main arch segment according to claim 4, characterized in that: The deviation correction algorithm adopts the least squares deviation correction algorithm.

6. The method for controlling the installation of a high support frame for a main arch segment according to claim 4, characterized in that: Classification of support force deviation: deviation rate ≤ 5% is slight deviation, 5% < deviation rate ≤ 10% is moderate deviation, and deviation rate > 10% is severe deviation.

7. The method for controlling the installation of a high support frame for a main arch segment according to claim 6, characterized in that... The adjustment strategy is determined based on the degree of deviation, and specifically includes: proportional adjustment for slight deviations, proportional-integral adjustment for moderate deviations, and proportional-integral-derivative adjustment for severe deviations.

8. The method for controlling the installation of a high support frame for a main arch segment according to claim 1, characterized in that, Step S5 includes the following steps: After receiving the dynamic control command, the actuator parses it into specific operation commands for each adjustment part, and drives the hydraulic or electric adjustment device of the high support and the attitude fine adjustment mechanism of the main arch segment to start operation; during the execution process, the changes in the support force of the high support and the adjustment of the attitude of the main arch segment are monitored in real time to ensure that the operation is executed accurately according to the dynamic control command.

9. The method for controlling the installation of a high support frame for a main arch segment according to claim 8, characterized in that, Step S5 also includes the following steps: setting up a detection module, using three-dimensional scanning technology to collect all-round detection data of the installed main arch segment, and obtaining its spatial position and geometric dimensions; comparing and analyzing the detection data with the preset installation accuracy standard to determine whether the main arch segment meets the requirements for precise installation.

10. The method for controlling the installation of a high support frame for a main arch segment according to claim 9, characterized in that, Determining whether the main arch segment meets the requirements for precise installation involves the following steps: if it does not meet the requirements, a feedback signal is generated to re-trigger the adaptive control module to generate adjustment instructions; if the test is qualified, an installation control result report containing installation process data and test results is output.

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