Multi-section stand column mounting and positioning auxiliary system and device

Abstract

The invention discloses a multi-section stand column installation positioning auxiliary system and device, and relates to the technical field of bridge construction, the system comprises a positioning monitoring module, a grouting monitoring module, an intelligent control module, a data management and communication module and a user interaction module, and the device comprises a supporting assembly, a positioning assembly and an anti-overturning assembly. According to the method, when the multiple sections of stand columns are installed and positioned, the positions, postures and butt joint deviation of the stand columns are monitored in real time through the multi-sensor fusion technology, accurate adjustment of the postures of the stand columns and intelligent monitoring of the grouting process are achieved through a self-adaptive control algorithm and a data analysis model, and the installation precision and efficiency can be effectively improved; manual operation errors are reduced, and construction safety and quality are guaranteed.

Description

Technical Field

[0001] This invention relates to the field of bridge construction technology, and in particular to a multi-section column installation and positioning auxiliary system and device. Background Technology

[0002] Multi-section column installation and positioning is a core process in large-scale projects, in which the segmented column segments are precisely controlled to splice and install them, ensuring the coaxiality of each segment, the overall verticality, and the fit of the segment interfaces, ultimately meeting the load-bearing strength, structural stability, and equipment installation benchmark requirements of the column.

[0003] Currently, the installation and positioning of multi-section columns mainly relies on manual measurement and experience-based adjustments. This results in problems such as low measurement and positioning accuracy, low adjustment efficiency, lack of real-time monitoring methods, insufficient stability control capabilities, imperfect data management, and low level of intelligence. It is difficult to meet the high-precision and high-efficiency installation requirements in complex construction environments, and it is also impossible to achieve real-time quality monitoring of the grouting process and proactive early warning of installation risks.

[0004] Therefore, a multi-section column installation positioning auxiliary system and device are proposed to solve the above problems. Summary of the Invention

[0005] The main objective of this invention is to provide a multi-section column installation and positioning auxiliary system and device to solve the problems mentioned in the background.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is: a multi-section column installation and positioning auxiliary system, the system comprising:

[0007] Positioning and monitoring module: It monitors the position, attitude and docking deviation of the column in real time through multi-sensor fusion technology. The multi-sensor includes a laser rangefinder, an angle sensor and a reflective target, and outputs multi-source positioning signals.

[0008] Grouting monitoring module: Real-time acquisition of pressure, flow rate and structural status parameters during the grouting process, including pressure sensors and flow meters, and generation of grouting quality monitoring data;

[0009] Intelligent control module: Based on the multi-source positioning signals and grouting quality monitoring data, combined with an adaptive control algorithm, it generates control commands in real time to adjust the operating parameters of the support components and anti-overturning components;

[0010] Data management and communication module: Stores historical installation data, model parameters and user configurations, supports real-time data query and remote transmission, and interacts with the monitoring center via wireless protocol;

[0011] User interaction module: Provides a graphical interface to display column position, grouting status and alarm information, supports user-defined thresholds and manual intervention, and is used to receive instructions and provide feedback on system status.

[0012] Preferably, the positioning monitoring module includes a laser ranging unit, an attitude sensing unit, and a visual reference unit;

[0013] The laser ranging unit is mounted on the top of the adjustable bracket via a direction adjustment bracket, emits a laser beam to the reference feature on the surface of the adjacent column, and calculates the distance deviation based on the round-trip time difference;

[0014] The attitude sensing unit is fixed to the side of the column by a magnetic or clamp-type angle sensor, detects the tilt angle and azimuth angle of the column, and generates three-dimensional pose data.

[0015] The visual reference unit identifies preset physical features or optical marks on adjacent columns through a camera, provides a visual reference, and fuses and verifies the data with laser ranging data.

[0016] Preferably, the grouting monitoring module includes a pressure sensing unit, a flow monitoring unit, and a data acquisition unit;

[0017] The pressure sensing unit is installed on the outlet pipeline of the grouting pump or a dedicated bypass pressure measuring point to monitor the pressure of the grouting system in real time and indirectly assess the grouting fullness.

[0018] The flow monitoring unit records the grouting volume and flow velocity using a flow meter installed in the outlet pipe of the grouting pump, and generates flow time series data.

[0019] The data acquisition unit connects to each sensor via an industrial bus, synchronously acquiring pressure and flow signals, and performing analog-to-digital conversion and signal conditioning.

[0020] Preferably, the intelligent control module includes a pose analysis unit, an auxiliary adjustment unit, and a fault early warning unit;

[0021] The pose analysis unit calculates the real-time pose error of the column by fusing distance and angle data through a filtering algorithm based on multi-source positioning signals.

[0022] The auxiliary adjustment unit generates adjustment guidelines and compensation suggestions based on the pose error, and can selectively drive the hydraulic cylinder to perform micro-movements to assist the operator in completing precise positioning.

[0023] The fault early warning unit combines historical installation data and real-time sensor data, and uses algorithm models to predict risks such as grouting interruption and equipment abnormality, generating graded early warning information.

[0024] Preferably, the auxiliary adjustment unit adopts a human-machine collaborative control strategy, specifically including:

[0025] Deviation display stage: The user interface clearly displays key parameters and target values ​​such as current verticality and axis deviation;

[0026] Guided adjustment phase: Based on the direction and magnitude of the deviation, specific adjustment suggestions are generated for the support components;

[0027] Micro-motion compensation stage: With operator authorization, the system can automatically perform micro-motion compensation on the support components to eliminate minor deviations.

[0028] Preferably, the fault early warning unit predicts fault risk through a data analysis model, specifically including:

[0029] Model building phase: Establish a grouting pressure-flow rate normal operating condition model based on historical installation data;

[0030] Real-time comparison phase: Compare real-time sensor data with the normal operating condition model to identify abnormal trends;

[0031] Risk warning stage: When the data deviates from the preset threshold, the failure probability and risk level are output to prompt operator intervention.

[0032] Preferably, the data management and communication module includes a real-time database unit, a historical data archiving unit, and a wireless communication unit;

[0033] The real-time database unit stores sensor data and control commands within the current installation cycle, supporting high-speed read / write and access.

[0034] The historical data archiving unit compresses and stores long-term installation records, and supports querying and exporting by project or time.

[0035] The wireless communication unit transmits key data and alarm information to the remote monitoring center via 4G / 5G or Wi-Fi networks.

[0036] Preferably, the historical data archiving unit adopts a hybrid storage architecture, specifically including:

[0037] Local storage stage: Data caching and initial compression are performed on the industrial gateway or local industrial control computer;

[0038] Cloud synchronization phase: The compressed data packets are synchronized to the cloud server for long-term storage and in-depth analysis;

[0039] Secure transmission phase: Standard encryption protocols are used to ensure the confidentiality and integrity of data transmission.

[0040] Preferably, the user interaction module includes a visual interface unit and an operation control unit;

[0041] The visualization interface unit displays dynamic simulation diagrams of column posture, real-time curves of grouting parameters, and system status dashboards via touch screen or web interface, supporting multi-dimensional data visualization.

[0042] The operation control unit allows users to manually start and stop the monitoring process, set adjustment parameters, confirm / execute adjustment commands, and export installation reports, while ensuring operational security through access control.

[0043] A multi-section column installation and positioning auxiliary device, the device comprising:

[0044] Support components: used to provide physical support and position adjustment for column installation, including base, adjustable bracket and anchor bolts;

[0045] Positioning components: used to monitor the position and attitude of the column, including laser rangefinders, angle sensors and visual recognition cameras;

[0046] Anti-tipping components: Used to improve the stability of the column during installation, including cruciform stabilizers and hydraulic dampers.

[0047] The present invention has the following beneficial effects:

[0048] 1. In this invention, when installing and positioning multi-section columns, the positioning monitoring module uses multi-sensor fusion technology to monitor the column position, attitude, and docking deviation in real time, and uses an adaptive filtering algorithm to optimize the original detection signal, which can effectively eliminate environmental interference and measurement errors, ensure the accuracy of column posture parameter calculation, and significantly improve installation positioning accuracy.

[0049] 2. In this invention, the intelligent control module generates control commands in real time based on multi-source monitoring data, and adopts a human-machine collaborative control strategy to achieve precise adjustment of the column position, which can significantly reduce the number of manual adjustments and operation time, and improve installation efficiency. At the same time, the fault early warning unit monitors the grouting process in real time and provides risk warnings, effectively avoiding quality defects and safety accidents.

[0050] 3. In this invention, the data management and communication module adopts a hybrid storage architecture and encrypted transmission mechanism to achieve systematic management and secure transmission of data throughout the installation process. This provides complete data support for construction quality traceability and subsequent projects. At the same time, the user interaction module provides an intuitive visual interface and flexible operation control, significantly improving the system's practicality and ease of use. Attached Figure Description

[0051] Figure 1 This is a frame diagram of a multi-section column installation and positioning auxiliary system according to the present invention;

[0052] Figure 2This is a framework diagram of the positioning monitoring module of a multi-section column installation positioning auxiliary system of the present invention;

[0053] Figure 3 This is a framework diagram of a grouting monitoring module for a multi-section column installation and positioning auxiliary system according to the present invention;

[0054] Figure 4 This is a diagram of the intelligent control framework of a multi-section column installation and positioning auxiliary system according to the present invention.

[0055] Figure 5 This is a data management and communication module framework diagram of a multi-section column installation positioning auxiliary system according to the present invention;

[0056] Figure 6 This is a user interaction module framework diagram of a multi-section column installation and positioning auxiliary system of the present invention;

[0057] Figure 7 This is a frame diagram of a multi-section column installation and positioning auxiliary device according to the present invention. Detailed Implementation

[0058] 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 some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] Please see Figure 1-7 This invention provides a technical solution: a multi-section column installation and positioning auxiliary system, the system comprising:

[0060] Positioning and monitoring module: Real-time monitoring of the position, attitude and docking deviation of the column through multi-sensor fusion technology. The multi-sensor includes a laser rangefinder, angle sensor and reflective target, and outputs multi-source positioning signals;

[0061] Grouting monitoring module: Real-time acquisition of pressure, flow rate and structural status parameters during the grouting process, including pressure sensors and flow meters, and generation of grouting quality monitoring data;

[0062] Intelligent control module: Based on multi-source positioning signals and grouting quality monitoring data, combined with adaptive control algorithms, control commands are generated in real time to adjust the operating parameters of the support components and anti-overturning components;

[0063] Data management and communication module: Stores historical installation data, model parameters and user configurations, supports real-time data query and remote transmission, and interacts with the monitoring center via wireless protocol;

[0064] User interaction module: Provides a graphical interface to display column position, grouting status and alarm information, supports user-defined thresholds and manual intervention, and is used to receive instructions and provide feedback on system status.

[0065] The positioning and monitoring module includes a laser ranging unit, an attitude sensing unit, and a visual reference unit;

[0066] The laser ranging unit is mounted on top of an adjustable bracket via a direction adjustment bracket. It emits a laser beam to a reference feature on the surface of an adjacent column and calculates the distance deviation based on the round-trip time difference, including the following steps:

[0067] The round-trip time of the laser beam from emission to reception is measured using a high-precision timer. The timing accuracy is 0.1 nanoseconds, and the calculated distance deviation... The formula is:

[0068] ;

[0069] in For the speed of light, the value is 3.0 × 10⁻⁶. 8 m / s;

[0070] Environmental compensation is applied to distance deviation based on atmospheric temperature. and pressure The corrected value for the speed of light is calculated using the following formula:

[0071] ;

[0072] in This is the temperature coefficient, with a value of 0.0003 / ℃. This is the pressure coefficient, with a value of 0.0001 kPa. For reference temperature, the value is taken as 20℃. The reference pressure is set at 101.325 kPa.

[0073] The attitude sensing unit is fixed to the side of the column using a magnetic or clamp-type angle sensor, detects the tilt angle and azimuth angle of the column, and generates three-dimensional pose data, including the following steps.

[0074] The analog output of the angle sensor is read, and the digitized tilt angle is obtained through an analog-to-digital converter. and azimuth ;

[0075] The tilt angle and azimuth angle are converted into a three-dimensional rotation matrix using the following formula:

[0076] ;

[0077] The pose vector of the column is calculated based on the rotation matrix, and then combined with laser ranging data to generate complete three-dimensional pose data.

[0078] The visual reference unit identifies preset physical features or optical marks on adjacent columns using a camera, provides a visual reference, and fuses and verifies it with laser ranging data, including the following steps:

[0079] The system acquires images from a camera, uses an edge detection algorithm to extract the contours of preset markers, and calculates the pixel coordinates of the markers in the image. ;

[0080] The pixel coordinates are converted to world coordinates using camera calibration parameters. The conversion formula is as follows:

[0081] ;

[0082] in This is the camera intrinsic parameter matrix;

[0083] Based on the marked world coordinates, calculate the visual deviation between the actual position of the pillar and the target position. ;

[0084] Visual deviation deviation from laser ranging To perform data fusion, a weighted average algorithm is used to calculate the fused deviation value. The formula is as follows:

[0085] ;

[0086] in and These are weighting coefficients, dynamically adjusted based on sensor confidence levels. .

[0087] The grouting monitoring module includes a pressure sensing unit, a flow monitoring unit, and a data acquisition unit;

[0088] The pressure sensing unit is installed on the outlet pipeline of the grouting pump or at a dedicated bypass pressure measurement point to monitor the grouting system pressure in real time and indirectly assess the grout filling degree, including the following steps:

[0089] Real-time acquisition of grouting system pressure signals, obtaining pressure values ​​through pressure sensors. The sampling frequency is 100Hz, the pressure measurement range is 0-10MPa, and the accuracy is ±0.1%FS;

[0090] Calculate the pressure gradient The formula used to evaluate the dynamic characteristics of grouting is:

[0091] ;

[0092] in This is the current sampling pressure value. This is the previous sampled pressure value. The sampling time interval is 0.01s.

[0093] Indirect assessment of grout filling degree based on pressure gradient Using empirical formulas:

[0094] ;

[0095] in and The material correlation coefficients are 0.7 and 0.3, respectively. The maximum design pressure is set at 8 MPa. The reference pressure gradient is set to 0.5 MPa / s;

[0096] The flow monitoring unit records the grouting volume and flow velocity using a flow meter installed in the outlet pipe of the grouting pump, and generates flow time series data, including the following steps:

[0097] Instantaneous flow velocity measured by an electromagnetic flowmeter The unit is m³ / s, the flow measurement range is 0-2 m³ / s, and the accuracy is ±0.5%RD;

[0098] Calculate the cumulative grouting volume The discrete integral formula is used:

[0099] ;

[0100] in Let i be the flow velocity value at the i-th sampling point. The number of sampling points. The sampling interval is 0.01s.

[0101] Generate flow time series data, including flow velocity series. and volume sequence And calculate the traffic statistics characteristics, including the mean. and variance ;

[0102] The data acquisition unit connects to various sensors via an industrial bus, synchronously acquiring pressure and flow signals, and performing analog-to-digital conversion and signal conditioning, including the following steps:

[0103] Pressure and flow signals are synchronously acquired via an industrial bus, and a timestamp alignment mechanism is used to ensure that the data synchronization error is less than 1ms.

[0104] Analog-to-digital conversion (ADC) converts analog signals into digital signals. The conversion formula is as follows:

[0105] ;

[0106] in To simulate input values, and For the measurement range, we take 0V and 5V respectively. The maximum digital value corresponding to a 12-bit ADC;

[0107] Signal conditioning employs a digital low-pass filter to denoise the signal. The filter transfer function is:

[0108] ;

[0109] in The current input signal, This is the current output signal. For the previous output signal, This is the smoothing coefficient, with a value of 0.2.

[0110] The intelligent control module includes a pose analysis unit, an auxiliary adjustment unit, and a fault early warning unit;

[0111] The pose analysis unit, based on multi-source positioning signals, fuses distance and angle data through a filtering algorithm to calculate the real-time pose error of the column, including the following steps:

[0112] Acquisition of laser ranging deviation and angle sensor data (tilt angle) and azimuth ), and construct observation vectors ;

[0113] The observation data are fused using the extended Kalman filter algorithm, and the state vector is defined as follows: ,in The coordinates of the column center;

[0114] State prediction equation:

[0115] ;

[0116] in It is a nonlinear state transition function. To control the input, For time indexing;

[0117] Observational update equation:

[0118] ;

[0119] in For the observation function, To observe the noise, it follows a Gaussian distribution;

[0120] Calculate the pose error vector The formula is:

[0121] ;

[0122] in This is the filtered state estimate. The target pose vector;

[0123] The auxiliary adjustment unit generates adjustment guidelines and compensation suggestions based on the posture error, and can selectively drive the hydraulic cylinder to perform micro-movements to assist the operator in completing precise positioning;

[0124] The fault early warning unit combines historical installation data and real-time sensor data, and uses algorithm models to predict risks such as grouting interruption and equipment abnormality, generating graded early warning information.

[0125] The auxiliary adjustment unit adopts a human-machine collaborative control strategy, specifically including:

[0126] Deviation Display Stage: The user interface clearly displays key parameters and target values ​​such as current verticality and axis deviation, including the following steps:

[0127] Real-time acquisition of the current pose data of the column, including verticality deviation. and axis deviation Verticality deviation The axis deviation is measured by an angle sensor. Measured using a laser ranging unit;

[0128] Calculate the percentage of verticality deviation and axis deviation percentage This is used to visually display the degree of deviation; the formula is:

[0129] ;

[0130] ;

[0131] in The maximum permissible verticality deviation is set at 0.5°. The maximum permissible axis deviation is set at 5 mm.

[0132] The current deviation value is displayed graphically and numerically on the user interface. and and percentage of deviation and And set a color warning: when and It displays green when or It displays yellow when or It will display in red;

[0133] Guided Adjustment Phase: Based on the direction and magnitude of the deviation, specific adjustment recommendations are generated for the support components, including the following steps:

[0134] Based on verticality deviation and axis deviation Calculate the adjustment amount of the hydraulic cylinder. Using multivariate control formulas:

[0135] ;

[0136] in This is the verticality proportionality factor, with a value of 10 mm / °. This is the axis deviation proportionality coefficient, with a value of 1 mm / mm;

[0137] Determine the adjustment direction, and determine the extension / retraction direction of the hydraulic cylinder based on the sign of the deviation: when When the position is tilted to the left, it indicates that the hydraulic cylinder needs to be adjusted to the right; when... When the column tilts to the right, the hydraulic cylinder needs to be adjusted to the left; the adjustment direction for axis deviation is similar.

[0138] Generate adjustment suggestion text, including the amount and direction of adjustment, and display it on the user interface, while providing voice prompts;

[0139] Micro-motion compensation stage: Under operator authorization, the system can automatically perform micro-motion compensation on the support components to eliminate minor deviations, including the following steps:

[0140] Check the operator authorization status. If the authorization is automatically fine-tuned, enter the automatic compensation mode; otherwise, wait for manual operation.

[0141] Calculate the micro-motion compensation amount using a discrete PID control algorithm. The formula is:

[0142] ;

[0143] in The current time-to-time composite deviation, , The sampling time is 0.1s. These are PID parameters, with values ​​of 0.8, 0.2, and 0.1 respectively.

[0144] compensation amount The signal is converted into a hydraulic cylinder control signal, driving the hydraulic cylinder to make small movements until the combined deviation is reached. Less than the threshold (Value taken as 0.1mm);

[0145] Real-time monitoring of deviation changes; if the deviation is within a predetermined time... If the convergence to below the threshold is not achieved within 30 seconds, an alarm will be triggered and the operator will be notified to interrupt automatic compensation.

[0146] The fault early warning unit predicts fault risks through data analysis models, specifically including:

[0147] Model building phase: Based on historical installation data, a grouting pressure-flow rate normal operating condition model is established, including the following steps:

[0148] Collect grouting pressure during historical installation processes and traffic Data, constructing a training dataset ,in The sample size is given, pressure is measured in MPa, and flow rate is measured in m³ / s.

[0149] Calculate pressure and traffic mean vector Covariance Matrix The formula is:

[0150] ;

[0151] ;

[0152] A bivariate normal distribution model is established as the normal operating condition model, with the probability density function as follows:

[0153] ;

[0154] in Real-time pressure-flow vector;

[0155] Real-time comparison phase: Comparing real-time sensor data with the normal operating condition model to identify abnormal trends, including the following steps:

[0156] Real-time collection of grouting pressure and traffic Constructing real-time vectors The sampling frequency is 10Hz;

[0157] Calculate real-time vectors Mahalanobis distance from the normal operating condition model Used to quantify bias, the formula is:

[0158] ;

[0159] Identifying anomalous trends: Comparing Mahalanobis distances With preset threshold ,when The time is marked as an exception, where Determined based on the 95th percentile of historical data, the calculation formula is as follows:

[0160] ;

[0161] in This is a historical Mahalanobis distance sequence;

[0162] Risk warning phase: When data deviates from the preset threshold, the failure probability and risk level are output to prompt operator intervention, including the following steps:

[0163] Calculate the probability of failure Based on Mahalanobis distance, an exponential function is used for mapping:

[0164] ;

[0165] in This is a scaling parameter, adjusted based on historical data, with a set value of... ;

[0166] Based on failure probability Output risk level:

[0167] Low risk: When hour;

[0168] Medium risk: When hour;

[0169] High risk: When hour;

[0170] Generate tiered early warning information, including failure probability, risk level, and recommended measures, and prompt operator intervention through user interface and audible and visual alarms.

[0171] The data management and communication module includes a real-time database unit, a historical data archiving unit, and a wireless communication unit;

[0172] The real-time database unit stores sensor data and control commands within the current installation cycle, supporting high-speed read, write, and access.

[0173] The historical data archiving unit compresses and stores long-term installation records, and supports querying and exporting by project or time.

[0174] The wireless communication unit transmits critical data and alarm information to the remote monitoring center via 4G / 5G or Wi-Fi networks.

[0175] The historical data archiving unit adopts a hybrid storage architecture, specifically including:

[0176] Local storage stage: Data caching and initial compression are performed on the industrial gateway or local industrial control computer, including the following steps:

[0177] Set up a data buffer using a circular buffer structure, with a buffer size of... The calculation formula is as follows: The data acquisition rate and buffer time are dynamically adjusted.

[0178] ;

[0179] in The average sampling frequency of the sensor is 50Hz. This is the local cache time, with a value of 300 seconds. This represents the average size of a single record, with a value of 128 bytes.

[0180] Perform initial data compression using the LZ77 lossless compression algorithm and calculate the compression ratio. The formula is:

[0181] ;

[0182] in This represents the original data size. This represents the size of the compressed data; a typical compression ratio is 4:1.

[0183] Monitor the cache status and when the data volume reaches a threshold Compression and transmission are triggered at specific times, and the threshold calculation formula is as follows:

[0184] ;

[0185] in This is the cache factor, with a value of 0.8, to ensure that the cache does not overflow;

[0186] Cloud synchronization phase: The compressed data packets are synchronized to the cloud server for long-term storage and in-depth analysis, including the following steps:

[0187] Establish a cloud connection, use the MQTT protocol, and calculate the transmission rate. Based on network bandwidth and latency, the formula is:

[0188] ;

[0189] in The available network bandwidth is set to 10 Mbps. For data packet size, This represents network latency, with a value of 100ms.

[0190] Data packet upload, calculate upload time The formula is:

[0191] ;

[0192] And monitor the upload progress, if Exceeding the timeout period If the value is 30s, the retransmission mechanism will be triggered;

[0193] After cloud storage, in-depth analysis is performed, using clustering algorithms such as K-means to group historical data and calculate the sum of squared errors within each cluster. The formula is:

[0194] ;

[0195] in For the number of clusters, For the i-th cluster, As the cluster center, For data points;

[0196] Secure transmission phase: Standard encryption protocols are used to ensure the confidentiality and integrity of data transmission, including the following steps:

[0197] Data packets are encrypted using the AES-256 encryption algorithm; the encryption strength is determined by the key length. Decide, Bits, encryption time The calculation formula is:

[0198] ;

[0199] in The encryption rate is set to 100 MB / s.

[0200] Data integrity verification uses the SHA-256 hash function to generate hash values. The formula is:

[0201] ;

[0202] in For the original data packet, the hash value length is fixed at 256 bits;

[0203] Verify the transmission result by comparing the hash values ​​of the sender and receiver. If they match, the transmission is considered successful; otherwise, a retransmission is triggered, and the error rate is calculated. :

[0204] ;

[0205] in The number of transmission failures. For the total number of transmissions, the requirement is... .

[0206] The user interaction module includes a visual interface unit and an operation control unit;

[0207] The visualization interface unit displays dynamic simulation diagrams of column posture, real-time curves of grouting parameters, and system status dashboards via touch screen or web interface, supporting multi-dimensional data visualization.

[0208] The operation control unit allows users to manually start and stop the monitoring process, set adjustment parameters, confirm / execute adjustment commands, and export installation reports, while ensuring operational security through access control.

[0209] The device includes:

[0210] Support components: These provide physical support and position adjustment for column installation, including a base, adjustable bracket, and anchor bolts. The base is a square steel plate, 20mm thick, with pre-drilled bolt holes at the four corners, and is fixed to the concrete foundation with M20 anchor bolts. The adjustable bracket consists of a hydraulic cylinder and a guide sleeve. The piston rod end of the hydraulic cylinder is hinged to the base, and the guide sleeve is welded to the center of the base. The cylinder body of the hydraulic cylinder is nested inside the guide sleeve and can slide axially.

[0211] Positioning components: used to monitor the position and attitude of the column, including a laser rangefinder, an angle sensor and a visual recognition camera. The laser rangefinder is mounted on the top flange of the adjustable bracket via a universal adjustment bracket. The angle sensor is fixed to the side of the column via a magnetic base. The visual recognition camera is attached to the mating surface of adjacent columns.

[0212] Anti-overturning components: used to improve the stability of the column during installation, including a cross-shaped stabilizer and a hydraulic damper. The stabilizer is temporarily connected to the column by high-strength bolts, and the hydraulic damper is hinged at both ends to the stabilizer and the ground anchor point, respectively.

[0213] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0214] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A multi-section column installation and positioning auxiliary system, characterized in that, The system includes: Positioning and monitoring module: It monitors the position, attitude and docking deviation of the column in real time through multi-sensor fusion technology. The multi-sensor includes a laser rangefinder, an angle sensor and a reflective target, and outputs multi-source positioning signals. Grouting monitoring module: Real-time acquisition of pressure, flow rate and structural status parameters during the grouting process, including pressure sensors and flow meters, and generation of grouting quality monitoring data; Intelligent control module: Based on the multi-source positioning signals and grouting quality monitoring data, combined with an adaptive control algorithm, it generates control commands in real time to adjust the operating parameters of the support components and anti-overturning components; Data management and communication module: Stores historical installation data, model parameters and user configurations, supports real-time data query and remote transmission, and interacts with the monitoring center via wireless protocol; User interaction module: Provides a graphical interface to display column position, grouting status and alarm information, supports user-defined thresholds and manual intervention, and is used to receive instructions and provide feedback on system status.

2. The multi-section column installation and positioning auxiliary system according to claim 1, characterized in that: The positioning and monitoring module includes a laser ranging unit, an attitude sensing unit, and a visual reference unit; The laser ranging unit is mounted on the top of the adjustable bracket via a direction adjustment bracket, emits a laser beam to the reference feature on the surface of the adjacent column, and calculates the distance deviation based on the round-trip time difference; The attitude sensing unit is fixed to the side of the column by a magnetic or clamp-type angle sensor, detects the tilt angle and azimuth angle of the column, and generates three-dimensional pose data. The visual reference unit identifies preset physical features or optical marks on adjacent columns through a camera, provides a visual reference, and fuses and verifies the data with laser ranging data.

3. The multi-section column installation and positioning auxiliary system according to claim 1, characterized in that: The grouting monitoring module includes a pressure sensing unit, a flow monitoring unit, and a data acquisition unit; The pressure sensing unit is installed on the outlet pipeline of the grouting pump or a dedicated bypass pressure measuring point to monitor the pressure of the grouting system in real time and indirectly assess the grouting fullness. The flow monitoring unit records the grouting volume and flow velocity using a flow meter installed in the outlet pipe of the grouting pump, and generates flow time series data. The data acquisition unit connects to each sensor via an industrial bus, synchronously acquiring pressure and flow signals, and performing analog-to-digital conversion and signal conditioning.

4. The multi-section column installation and positioning auxiliary system according to claim 1, characterized in that: The intelligent control module includes a pose analysis unit, an auxiliary adjustment unit, and a fault early warning unit; The pose analysis unit calculates the real-time pose error of the column by fusing distance and angle data through a filtering algorithm based on multi-source positioning signals. The auxiliary adjustment unit generates adjustment guidelines and compensation suggestions based on the pose error, and can selectively drive the hydraulic cylinder to perform micro-movements to assist the operator in completing precise positioning. The fault early warning unit combines historical installation data and real-time sensor data, and uses algorithm models to predict risks such as grouting interruption and equipment abnormality, generating graded early warning information.

5. The multi-section column installation and positioning auxiliary system according to claim 4, characterized in that: The auxiliary adjustment unit adopts a human-machine collaborative control strategy, specifically including: Deviation display stage: The user interface clearly displays key parameters and target values ​​such as current verticality and axis deviation; Guided adjustment phase: Based on the direction and magnitude of the deviation, specific adjustment suggestions are generated for the support components; Micro-motion compensation stage: Under operator authorization, the system can automatically perform micro-motion compensation on the support components to eliminate minor deviations.

6. The multi-section column installation and positioning auxiliary system according to claim 4, characterized in that: The fault early warning unit predicts fault risks through a data analysis model, specifically including: Model building phase: Establish a grouting pressure-flow rate normal operating condition model based on historical installation data; Real-time comparison phase: Compare real-time sensor data with the normal operating condition model to identify abnormal trends; Risk warning stage: When the data deviates from the preset threshold, the failure probability and risk level are output to prompt operator intervention.

7. The multi-section column installation and positioning auxiliary system according to claim 1, characterized in that: The data management and communication module includes a real-time database unit, a historical data archiving unit, and a wireless communication unit. The real-time database unit stores sensor data and control commands within the current installation cycle, supporting high-speed read / write and access. The historical data archiving unit compresses and stores long-term installation records, and supports querying and exporting by project or time. The wireless communication unit transmits key data and alarm information to the remote monitoring center via 4G / 5G or Wi-Fi networks.

8. The multi-section column installation positioning auxiliary system according to claim 7, characterized in that: The historical data archiving unit adopts a hybrid storage architecture, specifically including: Local storage stage: Data caching and initial compression are performed on the industrial gateway or local industrial control computer; Cloud synchronization phase: The compressed data packets are synchronized to the cloud server for long-term storage and in-depth analysis; Secure transmission phase: Standard encryption protocols are used to ensure the confidentiality and integrity of data transmission.

9. The multi-section column installation and positioning auxiliary system according to claim 1, characterized in that: The user interaction module includes a visual interface unit and an operation control unit; The visualization interface unit displays dynamic simulation diagrams of column posture, real-time curves of grouting parameters, and system status dashboards via touch screen or web interface, supporting multi-dimensional data visualization. The operation control unit allows users to manually start and stop the monitoring process, set adjustment parameters, confirm / execute adjustment commands, and export installation reports, while ensuring operational security through access control.

10. A multi-section column installation and positioning auxiliary device, characterized in that, The device includes: Support components: used to provide physical support and position adjustment for column installation, including base, adjustable bracket and anchor bolts; Positioning components: used to monitor the position and attitude of the column, including laser rangefinders, angle sensors and visual recognition cameras; Anti-tipping components: used to improve the stability of the column during installation, including cross-shaped stabilizers and hydraulic dampers.

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