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Introduction to Measurement Science

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Principles apply to any activity relying on measurements ... Grads: centesimal minutes and seconds: 400g = circle. Mils: 6400 mils = circles. Radians ... – PowerPoint PPT presentation

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Title: Introduction to Measurement Science


1
Introduction to Measurement Science
  • ERE 371Surveying for Engineers

2
Measurement Science Introduction
  • Principles apply to any activity relying on
    measurements
  • Considerations
  • Surveying measurements
  • Observations

3
Overview
  • Basic principles of measurements
  • Subsequent use of measurements
  • Planning for measurements
  • Units of measurements

4
Measurements
  • Single measurement
  • Issues

5
Measurements
  • Methods for increasing confidence
  • Expressions of quality

6
Precision
  • Understanding precision
  • Degree of precision depends on
  • Express precision using statistics

7
Variance and Standard Deviation
  • Purpose
  • Indicate measurement spread
  • Formulae

standard deviation
variance
  • Example
  • Set A 2.3 m, 2.4 m, 2.5 m s2 0.01 m2, s
    0.1 m
  • Set B 2.1 m, 2.3 m, 2.5 m s2 0.04 m2, s
    0.2 m

8
Accuracy
  • Understanding accuracy
  • Example
  • Accepted value is 2.31 m
  • Which measurement set is more accurate, A or B?
  • Set A average 2.4 m
  • Set B average 2.3 m

9
ACCURACY
High Low
PRECISION
High Low
10
Expressing Accuracy
  • Absolute accuracy
  • Relative accuracy

11
Considering Measurement Variations
  • Issue
  • Two approaches
  • Sources of error
  • Types of error

12
Theory of Errors
  • Theory
  • Error
  • Issues

13
Basic Principles
  • Four underlying principles in Theory of Errors
  • Confidence is provided by comparing to

14
Theory of Observations
  • Theory
  • Issues

15
Errors and Mistakes
  • Mistakes are NOT errors
  • Must do all possible to

16
Types of Errors
  • Systematic errors (biases)
  • Random errors

17
Redundancy in Measurements
  • Generally make redundant measurements
  • Most probable value (MPV)
  • Residuals

18
Understanding Random Errors
  • Frequency of occurrence
  • Dispersion
  • Frequency
  • Histogram
  • Normal distribution

19
Laws of Probability
  • Laws of probability

20
Expressing Precision
  • Expressing precision using standard deviation
  • Interpreting standard deviation
  • Percent errors
  • Use percent errors to specify required precision
  • E90 1.6449? E95 1.9599?
  • E.g. require E95 to be less than specific value

21
Readings
  • Chapter 3 sections 3.1 3.16

22
Applying Measurement Science
  • Subsequent Use of Measured Values
  • Preanalysis of Measurements
  • Importance of Units

23
Subsequent Use of Measured Values
  • Types of observations
  • Often use measurements to compute values
  • Three specific ideas

24
Significant Figures
  • Two types of numeric values
  • In calculations
  • Issue

25
Use of Weights
  • Applications
  • Incorporate multiplicative factors into
    computation
  • Very powerful tool

26
Weighted Measurements
  • Situation have greater confidence in some values
  • How to determine weight?
  • Commonly use weight derived by inverse proportion

27
Weighted Measurements Example
28
Weighted Measurements Example
29
Propagation of Variance
  • Variance of observations
  • Issue
  • Variance of result depends on

30
Propagation of Variance (Contd)
  • Assumptions
  • Theoretical formulation

Note Standard deviation ?U found by taking
square root
31
Propagation of Variance Example
  • Situation
  • Measure slope distance and vertical angle
  • Calculate horizontal distance
  • Measurements made
  • Slope distance (L) 124.067 m with S.D. (sL)
    0.017 m
  • Angle (?) 31 05' 25" with S.D. (s?) 00 00'
    10" 0.0000485 radians
  • Calculating horizontal distance
  • H L cos ? 124.067 m x cos (31 05' 25")
    106.245 m

32
Propagation of Variance Example
  • How good is calculated value of H?
  • Use propagation of variance to estimate variance
  • Calculating variance

33
Propagation of Variance (Contd)
  • Formulas in text
  • Generalizing propagation of variance

34
Preanalysis of Measurements
  • Issue
  • Basically inverse of propagation of variance
  • Steps

35
Preanalysis of Measurements
  • Situation
  • Reducing slope distance to horizontal
  • How well does vertical angle need to be measured?
  • Steps
  • Differentiate H w.r.t. ?
  • Divide by original equation
  • Ignore sign, rearrange to get d? (radians)

36
Preanalysis of Measurements
  • Example
  • Measure slope distance along 15 incline
  • Want relative accuracy in H of 1 in 10,000
  • How well do we need to measure ??
  • Implication
  • Need a 1' instrument

37
Units of Measurement
  • Linear distance units
  • Historic Gunters chain 1 chain 66 feet 4
    rods 100 links
  • English international foot, US survey foot,
    yard, mile
  • Metric meter
  • Angular distance
  • Sexagesimal Degrees/minutes/seconds 360
    circle
  • Decimal degrees
  • Grads centesimal minutes and seconds 400g
    circle
  • Mils 6400 mils circles
  • Radians

38
Units of Measurement
  • Area units
  • English Acre 1 acre 1 chain x 10 chains
    43560 ft2
  • Metric Hectare 1 ha 100m x 100m 10,000 m2
  • Volume units
  • English Cubic yards, Acre-feet
  • Metric Cubic meters
  • The U.S. and the metric system

39
Readings
  • Chapter 2 sections 2.1 2.5
  • Chapter 3 sections 3.17 3.21
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