Intelligent fine adjustment control method applied to bridge deck crane

Abstract

This invention relates to the field of bridge engineering construction technology and discloses an intelligent fine-tuning control method applied to bridge deck cranes. The method includes steps S1 (control parameter input), S2 (system automatic calculation of lifting value), S3 (automatic fine-tuning), S4 (automatic measurement by a distance measuring instrument), and S5 (error judgment). This intelligent fine-tuning control method for bridge deck cranes employs a relative position control strategy with the bridge deck crane and the installed steel beam as a rigid whole, and establishes an automatic calculation and closed-loop control loop based on a geometric relationship model. It can automatically feed back calculations and control the lifting jacks for fine-tuning, achieving the purpose of precise adjustment of the steel box girder elevation. The automatic feedback intelligent fine-tuning system, composed of a distance measuring instrument, a control system, and lifting jacks, eliminates the need for manual measurement and operation, improving adjustment accuracy and efficiency. The adjustment process automatically feeds back calculations based on the distance measuring instrument's measurement results, resulting in a high degree of automation and convenient operation.

Description

Technical Field

[0001] This invention relates to the field of bridge engineering construction technology, specifically to an intelligent fine-tuning control method applied to bridge deck cranes. Background Technology

[0002] During the cantilever assembly of bridges, the segment elevation changes continuously over time due to environmental factors such as temperature variations and wind loads. As a result, the segment elevation cannot be adjusted according to theoretical values ​​during the lifting and matching process of the crane, and needs to be corrected based on on-site measurement results. However, on-site measurement results are usually not timely and it is difficult to correct the assembly elevation in real time, making it difficult to guarantee the accuracy of matching.

[0003] Existing cantilever assembly construction methods typically wait for a relatively stable "window period" for construction, or densely deploy sensors on the beam segment to perform elevation corrections during fine-tuning based on real-time temperature data, and apply temporary constraints to fix the cantilever end attitude during assembly. These methods have poor construction economy, limited freedom in choosing the construction period, and difficulty in guaranteeing the construction period. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an intelligent fine-tuning control method for bridge deck cranes, solving the problems mentioned in the background.

[0005] This invention provides the following technical solution: an intelligent fine-tuning control method applied to bridge deck cranes, comprising the following steps: Step S1, Control Parameter Input: Determine and input the fine-tuning control point parameters, including the position of the bridge crane lifting jack. , distance measuring point Steel beam elevation positioning measuring points And record the vertical and horizontal distances between these points; Step S2, the system automatically calculates the lifting value: based on the control parameters and the measurement results of the rangefinder, the system automatically calculates the stroke value of the lifting jack; Step S3, Automatic Fine Adjustment: Control the lifting jack to perform automatic fine adjustment, adjusting the stroke step by step; Step S4, automatic measurement by the distance measuring instrument: The distance measuring instrument automatically measures the relative distance from the instrument to the surface of the steel beam at a predetermined frequency and transmits the data to the control system; Step S5, Error Judgment: Based on the measurement results fed back by the rangefinder, automatically calculate the elevation adjustment value at the control point of the steel beam and compare it with the control index. When the error meets the predetermined requirements, stop lifting; otherwise, return to step S3.

[0006] Preferably, in step S1, the entered longitudinal and horizontal distances include parameters. , , ; The distance between the joint of the beam segment and the lifting jack of the bridge deck crane. The longitudinal horizontal distance; Raise the position of the jacks for the bridge crane Distance measuring point The longitudinal horizontal distance; For the distance measuring point Elevation positioning point of steel beam The vertical horizontal distance.

[0007] Preferably, in step S2, the system automatically calculates the lifting value of the lifting jack using the following formula: ; in, For measuring the elevation of the steel beam The required fine-match adjustment value; To increase the stroke lift of the jack.

[0008] Preferably, in step S2, the system simultaneously calculates the displacement change of the rangefinder using the following formula: ; in, This represents the change in displacement of the rangefinder.

[0009] Preferably, in step S3, the step-by-step stroke control refers to gradually adjusting the lifting jack by 1mm per step.

[0010] Preferably, in step S4, the predetermined measurement frequency is 1 Hz.

[0011] Preferably, in step S5, the error meeting the predetermined requirement means that the error of the elevation adjustment value is less than 2mm and greater than 0.

[0012] Compared with the prior art, the present invention has the following beneficial effects: This invention employs a relative position control strategy that treats the bridge crane and the installed steel beam as a rigid whole, and establishes an automatic calculation and closed-loop control loop based on a geometric relationship model. This allows for automatic feedback calculation and control of the lifting jacks for fine-tuning, achieving precise elevation adjustment of the steel box girder. The automatic feedback intelligent fine-tuning system, consisting of a rangefinder, control system, and lifting jacks, eliminates the need for manual measurement and operation, improving adjustment accuracy and efficiency. The adjustment process automatically feeds back calculations based on the rangefinder's measurement results, resulting in a high degree of automation and convenient operation. Attached Figure Description

[0013] Figure 1 This is a flowchart of the present invention; Figure 2 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0014] 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.

[0015] Please see Figure 1-2 A smart fine-tuning control method for bridge deck cranes includes the following steps: Step S1, Control Parameter Input: Determine and input the fine-tuning control point parameters, including the position of the bridge crane lifting jack. , distance measuring point Steel beam elevation positioning measuring points And record the vertical and horizontal distances between these points; Step S2, the system automatically calculates the lifting value: based on the control parameters and the measurement results of the rangefinder, the system automatically calculates the stroke value of the lifting jack; Step S3, Automatic Fine Adjustment: Control the lifting jack to perform automatic fine adjustment, adjusting the stroke step by step; Step S4, automatic measurement by the distance measuring instrument: The distance measuring instrument automatically measures the relative distance from the instrument to the surface of the steel beam at a predetermined frequency and transmits the data to the control system; Step S5, Error Judgment: Based on the measurement results fed back by the rangefinder, automatically calculate the elevation adjustment value at the control point of the steel beam and compare it with the control index. When the error meets the predetermined requirements, stop lifting; otherwise, return to step S3.

[0016] In step S1, the entered vertical and horizontal distances include parameters. , , ; The distance between the joint of the beam segment and the lifting jack of the bridge deck crane. The longitudinal horizontal distance; Raise the position of the jacks for the bridge crane Distance measuring point The longitudinal horizontal distance; For the distance measuring point Elevation positioning point of steel beam 3. The intelligent fine-tuning control method applied to a bridge deck crane according to claim 2, characterized in that, in step S2, the system automatically calculates the lifting value of the lifting jack stroke using the following formula: ; in, For measuring the elevation of the steel beam The required fine-match adjustment value; To increase the stroke lift of the jack.

[0017] In step S2, the system simultaneously calculates the displacement change of the rangefinder using the following formula: ; in, This represents the change in displacement of the rangefinder.

[0018] In step S3, the step-by-step stroke control refers to gradually adjusting the lifting jack by 1mm per step.

[0019] In step S4, the predetermined measurement frequency is 1 Hz.

[0020] In step S5, the error meeting the predetermined requirement means that the error of the elevation adjustment value is less than 2mm and greater than 0.

[0021] In one specific embodiment, the implementation process is carried out in the following steps in sequence: I. Control Parameter Input In the control system interface, based on the bridge design drawings and actual on-site measurements, the following key parameters are entered: Fine-tuning control point parameters are determined and entered, including the positions of the bridge deck crane lifting jacks. , distance measuring point Steel beam elevation positioning measuring points And record the vertical and horizontal distances between these points; Distance parameters The distance between the beam segment joint and the bridge deck crane lifting jack. The longitudinal horizontal distance; Distance parameters Position of the bridge crane lifting jacks To the distance measuring point The longitudinal horizontal distance; Distance parameters : Rangefinder measurement point Elevation positioning point of steel beam The longitudinal and horizontal distances, these parameters clearly define , , The geometric relationship of the three key control points in the longitudinal direction of the bridge.

[0022] II. The system automatically calculates the boost value. After the coarse matching is completed, the operator inputs the steel beam elevation positioning measurement points into the control system based on the measurement results. The target value for fine-tuning that needs to be achieved. .

[0023] The system then automatically performs the following calculations based on the established geometric model: Calculate lifting jack Required theoretical travel value: ; At the same time, the displacement change of the rangefinder is calculated: ; The calculated Δh1 will be used as the target stroke command for automatic fine-tuning.

[0024] III. Automatic Fine Adjustment The operator selects the "automatic fine-tuning" mode on the control system interface, and the system adjusts the settings according to the calculated parameters. The value sends a control command to the hydraulic lifting jack, which then gradually lifts the beam segment to be installed in small strokes of 1mm per level. This step-by-step loading method avoids over-adjustment and impact on the structure, ensuring a smooth and precise adjustment process.

[0025] IV. Automatic Measurement with Rangefinder Throughout the automatic fine-tuning process, the rangefinder continuously and automatically measures the change in relative distance to a designated measuring point on the steel beam surface at a frequency of 1 Hz. This measured data is transmitted back to the control system in real time.

[0026] V. Error Judgment The control system will transmit the displacement change fed back in real time by the rangefinder, i.e., the measured displacement. The expected value calculated by the system based on the current lifting jack stroke The values ​​are compared, and then the current steel beam elevation positioning point is calculated. The actual adjustment value at that location.

[0027] The system will compare the actual adjustment value with the target adjustment value. Perform error discrimination: If the error of the elevation adjustment value is less than 2mm and greater than 0, the system determines that the fine adjustment meets the requirements, stops the lifting, and issues a completion signal; If the error value does not meet the above conditions, the control system will continue to perform the automatic fine-tuning process until the error meets the requirements.

[0028] 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 alterations 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 smart fine-tuning control method applied to bridge deck cranes, characterized in that, Includes the following steps: Step S1, Control Parameter Input: Determine and input the fine-tuning control point parameters, including the position of the bridge crane lifting jack. , distance measuring point Steel beam elevation positioning measuring points And record the vertical and horizontal distances between these points; Step S2, the system automatically calculates the lifting value: based on the control parameters, the theoretical stroke value of the lifting jack is automatically calculated; Step S3, Automatic Fine Adjustment: Control the lifting jack to perform automatic fine adjustment, adjusting the stroke step by step; Step S4, automatic measurement by the distance measuring instrument: The distance measuring instrument automatically measures the relative distance from the instrument to the surface of the steel beam at a predetermined frequency and transmits the data to the control system; Step S5, Error Judgment: Based on the measurement results fed back by the rangefinder, automatically calculate the elevation adjustment value at the steel beam elevation positioning measuring point. The error is compared with the control index. If the error meets the predetermined requirements, the improvement is stopped; otherwise, the process returns to step S3. In step S1, the entered vertical and horizontal distances include parameters. , , ; The distance between the joint of the beam segment and the lifting jack of the bridge deck crane. The longitudinal horizontal distance; Raise the position of the jacks for the bridge crane Distance measuring point The longitudinal horizontal distance; For the distance measuring point Elevation positioning point of steel beam The longitudinal horizontal distance; In step S2, the system automatically calculates the theoretical stroke value of the lifting jack using the following formula: ； in, For measuring the elevation of the steel beam The required fine-match adjustment value; To increase the theoretical stroke value of the jack; In step S2, the system simultaneously calculates the displacement change of the rangefinder using the following formula: ； in, This represents the change in displacement of the rangefinder.

2. The intelligent fine-tuning control method for bridge deck cranes according to claim 1, characterized in that, In step S3, the stepwise adjustment of the stroke refers to gradually adjusting the jack by lifting it in increments of 1 mm.

3. The intelligent fine-tuning control method for bridge deck cranes according to claim 1, characterized in that, In step S4, the predetermined frequency is 1 Hz.

4. The intelligent fine-tuning control method for bridge deck cranes according to claim 1, characterized in that, In step S5, the error meeting the predetermined requirement means that the error of the elevation adjustment value is less than 2mm and greater than 0.

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