Intelligent Hoisting Method for Bridge Beam Segments
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Solution Overview
Problem
The existing methods for assembling beam segments in bridge steel beam construction are complex, require multiple personnel, and suffer from low measurement accuracy due to the reliance on traditional leveling instruments and pre-setting of reference markers.
Innovation Solution
An intelligent hoisting method for beam segments in bridge deck crane systems, which involves obtaining the alignment height at the edge of the installed segment, deriving splicing heights for the segment to be installed, and continuously adjusting the lifting height and position to ensure precise alignment without the need for pre-set reference markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional leveling instruments and pre-set reference markers are used for segment alignment, then the alignment process can be completed, but the operational complexity increases and measurement accuracy decreases
Solution Approach 1:
The patent extracts and eliminates the pre-set reference markers and alignment joints from the segment assembly process. Instead of using traditional markers that require complex positioning and affect measurement accuracy, the invention uses a simplified monitoring system that directly measures the segment's position and attitude during hoisting, removing the unnecessary complexity of marker installation and processing.
Solution Approach 2:
The patent replaces the mechanical leveling instrument system with an intelligent monitoring system that uses sensors and data processing to achieve alignment. The system substitutes physical marker-based mechanical measurement with electronic sensing and computational analysis, improving both accuracy and reducing operational complexity.
2Measurement precision
If multiple personnel are involved in the traditional assembly process for measurement and adjustment, then comprehensive monitoring is achieved, but the measurement time increases and efficiency decreases
Solution Approach 1:
The patent implements a real-time feedback system where the intelligent monitoring device continuously tracks the segment's position and attitude during hoisting, and the control system automatically processes the data to provide real-time adjustment instructions. This closed-loop feedback eliminates the need for multiple personnel to take turns measuring and analyzing, as the system performs all measurements and calculations simultaneously and continuously, reducing measurement time while maintaining or improving accuracy.
Solution Approach 2:
The monitoring system performs self-measurement and self-analysis without requiring multiple human operators. The intelligent monitoring device automatically captures data, processes it through the control system, and generates adjustment instructions, enabling the system to serve itself in the measurement and alignment process, thereby reducing personnel requirements and measurement time.
3Ease of operation
If pre-processing of segments with reference markers is performed, then alignment guidance can be obtained, but the operational complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating the hoisting parameters and adjustment instructions based on the design requirements and actual measured data before the hoisting operation begins. The control system prepares the alignment strategy in advance, so that during the actual hoisting process, only simple execution of pre-planned adjustments is needed, eliminating the need for complex real-time decision-making and reducing operational complexity.
Solution Approach 2:
The invention removes the pre-processing step of installing reference markers and alignment joints from the segment preparation process. Instead of modifying the segments physically with markers before assembly, the system uses non-contact sensing and digital modeling to provide alignment guidance, eliminating the complex pre-processing operations while maintaining alignment capability.
Data Source
AI summary
The present application describes an intelligent hoisting method for a bridge deck crane system. The method involves determining the splicing heights at two key positions of the segment to be installed by measuring the alignment height of an already installed segment. The segment is hoisted, and the real-time heights at both positions are monitored. If one position reaches the splicing height while the other does not, the lifting point is adjusted until both positions align with their respective splicing heights. This method eliminates the need for reference marks or docking joints on the segment to be installed, thereby avoiding issues related to their precision and installation accuracy. Additionally, it simplifies the splicing operation by removing the need for pre-processing the segment, reducing the overall complexity of the process.