20240054370. SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATIC RECOGNITION OF WORK CYCLES OF A CIVIL ENGINEERING MACHINE simplified abstract (Liebherr-Werk Nenzing GmbH)
SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATIC RECOGNITION OF WORK CYCLES OF A CIVIL ENGINEERING MACHINE
Organization Name
Inventor(s)
Michael Marent of Schlins (AT)
SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATIC RECOGNITION OF WORK CYCLES OF A CIVIL ENGINEERING MACHINE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240054370 titled 'SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATIC RECOGNITION OF WORK CYCLES OF A CIVIL ENGINEERING MACHINE
Simplified Explanation
The patent application describes a system and method for automatically recognizing work cycles of a civil engineering machine.
- A classification model generated automatically by a mathematical optimization method is stored on a data storage.
- A detection device captures status data of the machine.
- A cycle phase recognition device accesses the data storage and allocates machine data to a cycle phase based on the classification model.
- The cycle allocation device corresponds to defined work processes of the civil engineering machine.
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- Potential Applications
This technology can be applied in various civil engineering projects where monitoring and optimizing work cycles of machines is crucial.
- Problems Solved
1. Efficient monitoring of work cycles of civil engineering machines. 2. Automatic recognition and allocation of machine data to specific work phases. 3. Optimization of work processes based on the classification model.
- Benefits
1. Improved efficiency in civil engineering projects. 2. Reduction in manual monitoring and allocation of machine data. 3. Enhanced productivity and resource utilization.
Original Abstract Submitted
the disclosure relates to a system and a method for automatic recognition of work cycles of a civil engineering machine, comprising a data storage, a detection device, a cycle phase recognition device and a cycle allocation device. a classification model, which has been generated automatically by a mathematical optimization method, is stored on the data storage. by means of the detection device, status data concerning at least one state of the civil engineering machine can be detected. the cycle phase recognition device has access to the data storage, receives machine data as input data, the machine data being based on the status data detected by the detection device. the cycle phase recognition device is configured to automatically allocate machine data to a first cycle phase based on the classification model, the latter corresponding to a defined work process of the civil engineering machine.
