qa in construction-3

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 29.5.2012 5 FIG Working Week 2012, May 6-10, 2012, Rome, Italy 4. Appl ication Planning Phase Real Time Show impact of diffe rent input quantities (e.g. measurement configuration) on the results Quality assurance measure depends on the improvement of the measurement and cons truc tion processes Using Monte Carlo Method to propag ate st andard deviation and the tol erance thr oug hout the processes parameter values are derived (a.o.) from the measurements  A quality assurance measure can be the use of alternative paths On the base of the parameters a decision is made in real time 9 source: Supplement 1 to the GUM FIG Working Week 2012, May 6-10, 2012, Rome, Italy 4. Appl ication Exempl ar y two parameters for de scribi ng the qu alit y: Standard deviation:   Tolerance correctnes s:       T   – Tolerance T  M  – Surveying tolerance l meas  Meas ured size l nom  – nominal size 10

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QA in Construction

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  • 29.5.2012

    5

    FIG Working Week 2012, May 6-10, 2012, Rome, Italy

    4. Application

    Planning Phase Real Time Show impact of different input

    quantities (e.g. measurementconfiguration) on the results

    Quality assurance measuredepends on the improvement of themeasurement and constructionprocesses

    Using Monte Carlo Method topropagate standard deviation and thetolerance throughout the processes

    parameter values are derived (a.o.) from the measurements

    A quality assurance measure can be the use of alternative paths

    On the base of the parameters a decision is made in real time

    9

    source: Supplement 1 to the GUM

    FIG Working Week 2012, May 6-10, 2012, Rome, Italy

    4. Application

    Exemplary two parameters for describing the quality:

    Standard deviation:

    Tolerance correctness:

    T ToleranceTM Surveying tolerancelmeas Measured sizelnom nominalsize

    10