Construction Machine Recording Assembly for Automated Progress Analysis
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Solution Overview
Problem
Manual data documentation on construction sites is labor-intensive, prone to errors, and relies on assumptions in simulations, making it difficult to accurately determine construction project progress.
Innovation Solution
A recording assembly for construction-site machines equipped with sensors, a communication module, and an evaluation unit that automatically acquires and transmits data, using machine learning techniques to correlate data with the mass of materials transported, enabling real-time and accurate analysis of project progress without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data documentation is used to determine construction progress, then flexibility and adaptability are maintained, but labor intensity increases and error susceptibility rises
Solution Approach 1:
The construction site machine automatically records its own operational data (mass transported, number of trips, operational time) through integrated sensors and control unit, eliminating the need for manual documentation and reducing human error while maintaining system simplicity
Solution Approach 2:
Manual data collection methods are replaced with automated sensor-based measurement systems that directly capture operational parameters, transforming the data collection process from manual to automated while improving accuracy
2Measurement precision
If simulations are used to determine construction progress, then planning capability is improved, but accuracy deteriorates due to reliance on assumptions
Solution Approach 1:
The system continuously captures actual operational data from the construction machine and feeds it to the evaluation unit, which compares planned versus actual progress, enabling real-time accuracy improvement without sacrificing determination efficiency
Solution Approach 2:
Progress determination is performed continuously during construction operations rather than through post-hoc simulations, allowing early and accurate assessment of construction status
3Productivity
If automated sensor-based data acquisition is implemented, then productivity and accuracy are improved, but device complexity increases
Solution Approach 1:
The sensor, communication module, and control unit are integrated into a unified recording assembly that combines multiple functions (data acquisition, transmission, and initial processing) into a single compact system, improving productivity while managing complexity through functional integration
Solution Approach 2:
The recording assembly is designed to be universally applicable to different construction site machines, with the control unit serving multiple functions including data reception from various sensors, wireless communication, and progress evaluation, thereby improving efficiency without proportionally increasing complexity
Data Source
AI summary
A method of analyzing at least one construction project is described, in which data relating to a component of a construction-site machine used in the construction project is acquired in an automatic manner via a sensor. The acquired data is transmitted to an evaluation unit. The transmitted data is evaluated to obtain evaluation results. The transmitted data is correlated with a mass of the construction materials and/or construction components transported by the construction-site machine to evaluate the progress of the construction project, and/or construction-site machine data is derived from the transmitted data, in particular taking machine-specific data of the construction-site machine into account. Furthermore, a recording assembly for a construction-site machine transporting construction materials and/or construction components, a construction-site machine, and a recording system are described.