speaker: dipl.ing. peter spohn
DESCRIPTION
Deformation Integrity Monitoring for GNSS-Positioning Services including a Scalable Hazard Monitoring by the Karlsruhe Approach (MONIKA) - Concept, Realisation and Results -. Speaker: Dipl.Ing. Peter Spohn. Content. 3. MONIKA Software 3.1 Data interfaces 3.2 Baseline processing - PowerPoint PPT PresentationTRANSCRIPT
Deformation Integrity Monitoring forGNSS-Positioning Services
including a Scalable Hazard Monitoringby the Karlsruhe Approach (MONIKA)
- Concept, Realisation and Results -
Speaker:
Dipl.Ing. Peter Spohn
Content1. Introduction
4. SAPOS-BW 2008 Solutions
3. MONIKA Software3.1 Data interfaces3.2 Baseline processing3.3 Epoch definition3.4 Epoch adjustment3.5 Plate-Rotation
3.6 Deformation analysis
3.7 Automatications
2. Mathematical Model2.1 Step 1
2.2 Step 2
2.3 Step 3
2.4 Transformations
2.5 Step 4
2.6 Further analysis
5. EUREF 2008 Solutions
6. Further Developments
1. Introduction
- GNSS positioning services (ex. SAPOS)
- GNSS networks (ITRF, EUREF, MOLDPOS…)
1. Introduction
1. Introduction
Common solutions:- Network adjustment with one fixpoint and
coordinate differences
- Network adjustment with Helmert transformation and coordinate comparing
not very sensitive!
How to control reference points?
MONIKA solution:
- Deformation analysis with all reference points
highly sensitive!
2. Mathematical Model
2. Mathematical Model
Overview
2. Mathematical Model
2. Mathematical Model
)C (l, l
)C ,x( x
__
2.2 Step 2 - Epoch definition
• suggested deformations• total time span
of the analysis
2.1 Step 1 - Raw-Data-Processing
• RINEX-Data
to baselines / networks
2. Mathematical Model
• Input: Baselines/Sessions• 3D Network adjustment• Quality control• Output: Epochs )C ,x( x
__
)C ,x( x
2.3 Step 3 - 3D Network-Adjustment
2. Mathematical Model
• Tectonic plate rotation of all epochs to one reference time (fixed networks)
)t,t,(t zyxtxx Ep0
)cos()(sin(dt
dLB
2.3 Transformations
• In case of free networks, an automatical S-Transformation is calculated to get an compareable network datum for all epoches
)sin()cos(dt
dLB
))cos()tan( B
2. Mathematical Model
• Model of a multiepochal and multivariate, coordinate depending deformation analysis
3 Ep Obj,
2 Ep Obj,
1 Ep Obj,
DefRef,
3 Ep Obj,
3 Ep Ref,
2 Ep Obj,
2 Ep Ref,
1 Ep Obj,
1 Ep Ref,
3 Ep Obj,
3 Ep Ref,
2 Ep Obj,
2 Ep Ref,
1 Ep Obj,
1 Ep Ref,
3 Ep Obj,
3 Ep Ref,
2 Ep Obj,
2 Ep Ref,
1 Ep Obj,
1 Ep Ref,
ˆ
ˆ
ˆ
ˆ
000
000
000
000
000
000
x
x
x
x
I
A
I
A
I
A
v
v
v
v
v
v
l
l
l
l
l
l
2.4 Step 3 - Deformation Analysis
2. Mathematical Model
• Expension of the mathematical model
)i(Ep)i(Ep)i(Ep)i(Ep kkkkˆˆ xBxAvl
i-th reference point in the k-th epoch )i(Ep k
Deformation values of all reference points
m-rm,20.post
)i(Ep1
ˆˆT
)i(EpF~
σ̂m
ˆˆT
k)ki(Ep)ki(Epk
xQxxx
• Testvalue for the reference points
If a significant deformation is found,
a new deformation analysis is calculated
(iterative datasnooping process)
2. Mathematical Model
Further calculations• Multiple coordinate differences• 3D/2D confidence areas• Network sensivity• Object point tests• Epoch tests
2. Mathematical Model
• Time series
2.5 Further analysis
• Kalman filtering
t)-t(u
t)-t(u
t)-u(t
I00
tI0
t5.0tI
t)(u
t)(u
u(t)
..
.
2
..
.
3. MONIKA Software
Overview
3. MONIKA Software
3. MONIKA Software
3.1 Data interfaces
3.2 Baseline processing• WA1 (Wanninger Software), directly supported
• Bernese 5.0, supported via SINEX-Interface
• other baseline processing software
Interfaces:• RINEX-Data• SINEX-Data• free ASCII-Interfaces
(Baselines, Epochdata, ...)
3. MONIKA Software
• Input-Data– Sessions/Baselines– SINEX-Data
with timestamps
Expected deformations?
3.3 Epoch definition
3. MONIKA Software
• Input-Data– Sessions/Baselines– SINEX-Data– Epoch timespan
• 3D Epoch adjustment
with GPS3D
• Output-Data– Coordinates with covariance matrix (epoch)– Detailed HTML-protocol and visualization
3.4 Epoch adjustment
3. MONIKA Software
Necessary when large GNSS-networks
or a long timespan is calculated
3.5 Plate rotation
3. MONIKA Software
• Input-Data– Epochs (free interface)
• Deformation Analysis– Iterative datasnooping– Final deformation analysis
• Output-Data– Coordinates, Cxx matrix– GOCA-Interface– Visualization– Time series– HTML-Protocol– GoogleEarth
3.6 Deformation Analysis
3. MONIKA Software
Overview
3. MONIKA Software
• Automatic epoch generation– Input: SINEX-Data– Output: Epochs
• Automatic deformation analysis calculation– Input: Epochs– Output: Solutions are saved in a MONIKA-Savefile,
HTML-Protocol, individual Interface-Files
• Automatic visualisation (GOCA-Earth, Addon)– Input: Interface file– Output: Visualisation in GoogleEarth
3.7 Automatications
+ flexible folder-based file handling
4. SAPOS-BW 2008 Solutions
4. SAPOS-BW 2008GNSS reference network in Germany Baden-Württemberg
- area:
200 x 200 km
- 36 stations
- free network
4. SAPOS-BW 2008 Solutions
4. SAPOS-BW 2008horizontal sensitivity ~ 2 mm
seasonal movement in the summer months
4. SAPOS-BW 2008 Solutions
4. SAPOS-BW 2008vertical sensitivity ~ 6 mm
displacement because of an antenna change
5. EUREF 2008 Solutions
5. EUREF 2008EUREF Reference Network
- area:
~ 4000x3000 km
- ~74 stations
- fixed network
5. EUREF 2008 Solutions
5. EUREF 2008
horizontal confidence belt ~ 2 - 5 mm, POUS (Poustka, CZ)
5. EUREF 2008 Solutions
5. EUREF 2008KARL (Karlsruhe, DE), light seasonal movement
spring 2008 summer 2008 winter 2008
6. Further Developments
6. Further Developments• GNSS-based longterm monitoring of geodynamic active earthquake zones
• Implementation of virtual sensors
• More complex modelsfor ex. deformation of point groups and areas
Basel, 1356
MONIKA
MONIKA
End
Thank you for your attention !
Any questions?