A multi-dimensional model for computer-aided measuring planning (CAMP) in digital manufacturing

Abstract

Measuring process based on laser tracker, iGPS and other digital measurement instruments becomes more and more important in digital manufacturing. Traditionally, a measuring process is planned based on human knowledge in planning strategies, measuring regulations, instruments, measuring operations and historical data. Relatively, computer aided measuring planning (CAMP) makes the process formatted, and enables manufacturers to improve measurement accuracy and efficiency and reduce the cost. To implement CAMP for digital measuring process, the concept of general measurement space (GMS) is proposed, and a multi-dimensional model (MDM) is built to support the structural storing and handling of the key information for measuring process. The model has multi attributes in three dimensions, which describe and classify multi-source and heterogeneous data related to a measuring process. Finally, the GMS’s characteristics matrix is constructed, providing a feasible way to evaluate measurement plans based on measuring process knowledge.