2nd technical meeting - wp7

Project SLOPE1

WP 7 – Piloting the SLOPE demonstrator

Technical Meeting 19-21 Jan 15

WP7: Piloting the SLOPE demonstrator

Progress of work package and planning actions for M 13-18

Kühmaier Martin, Pichler Gerhard, Kastner Maximilian, Stampfer Karl Institute of Forest EngineeringUniversity of Natural Resources and Life Sciences, Vienna

20 January 2015


Planning actions for M 13-18

2014 2015 2016J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D

T.7.1 D

T.7.2 D

T.7.3 M D M M

T.7.4


Progress of work package

Task 7.1 has already started. Process flow charts are currently developed for Austria

Task 7.3: Pilot areas have been selected, interaction with forest enterprises, identification of harvesting sites in Austria and Italy, short description of demonstration sites is available

All other tasks will start in future


Austria

Plots owned by the Austrian State Forests www.bundesforste.at

Management unit Flachgau-Tennengau

Head of the unit is Mr. Erwin Stampfer [email protected]


http://www.bundesforste.at/

mailto:[email protected]

Potential harvesting sites in Austria

500 x 1200 meters

7 potential harvesting sites


Tree composition of Austrian demo sites

ID Tree species Proportion (%) Age (years) Stock density

353 A3Spruce 95 40 0.9

Fir 5 40 0.9353 A4 Spruce 100 25 1.0353 F5 Spruce 100 30 1.0

354 A1Fir 60 170 0.8

Spruce 40 170 0.8

354 C1

Spruce 60 170 0.7Fir 40 170 0.7

Spruce 90 25 0.5Fir 10 25 0.5

354 E0Spruce 80 125 0.8

Fir 20 125 0.8

355 E3Spruce 90 45 0.9

Fir 10 45 0.9


Management strategies for the Austrian demo sites

ID Management Area Harvested volume Cutting intensityha m³ %

353 A3 Thinning 2.00 120 36

353 A4 First thinning 0.75 13 30

353 F5 First thinning 0.90 20 30

354 A1 Final cut 0.26 167 100

354 C1 Final cut 0.46 247 100

354 E0 Final cut 1.52 640 80

355 E3 First thinning 3.00 120 22

8.89 1327Thinning operations should be executed in early spring or in autumn. Final cuts can be made during summer period.


Schedule for demonstration activities

No demonstrations of processor head in the year 2015

Survival tag tests in Sover in spring 2015

Forest information collection in Italy has finished

Forest information collection and preparation of the harvesting sites (BOKU, COAST, TRE, FLY) – time schedule and requirements have to be defined Checking the harvesting sites to assure that trees are not too big and

not too branchy

Definition of evaluation methods for demonstrations (T 7.1)


Data collection & preparation

Task Description Date Involved partners

Identification ofharvesting sites July 2014 BOKU, FE*

Collecting localknowledge M 7-12/2014 FE, all partners

Data collection

Remote sensing & multispectral analysis Spring 2015 FLY

UAV data Spring 2015 COAST, FE, BOKU/CNR

Terrestrial laserscanning Spring 2015 TRE, FE, BOKU/CNR

Tree marking Color marking & RFIDmarking M 4-8/2015 ITENE, FE,

BOKU/CNR

FE = forest enterprise (e.g. Austrian State Forests) Technical Meeting 19-21 Jan 15

Set up, transfer and installation

Task Description Date Involved partners

Set up

Truck

1-2 monthsbefore demo

ITENE, BOKU, TC*

Self-propelled carriage GRE

Processor head & control system & excavator KESLA (substitute)

Transfer and installation

Tower yarder & carriage1 week before

demo

GRE, FE*, BOKU

Processor head and excavator

KESLA (substitute), FE

FE = forest enterprise (e.g. Austrian State Forests), TC = Transport company Technical Meeting 19-21 Jan 15

Demonstration of the SLOPE system

Task Devices Involved partners

Felling the tree GPS receiver, RFID reader BOKU, CNR, ITENE, MHG, GRE, FE*

Extracting the tree RFID reader, tension sensor, PLC, GPRS module

GRE, CNR, MHG, BOKU, ASF, FE

Processing the tree RFID reader and installer, sensors for quality control

KESLA (substitute), CNR, BOKU, GRE, ITENE, FE

Transporting the logs RFID reader, GPS receiver, BUS CAN connection, GPRS module

ITENE, CNR, MHG, BOKU, FE, TC*

Forest Information System (FIS) HMI, ERP GRAPHITECH, COAST, MHG,

TRE, KESLA (substitute), GRE

Duration: 1 week per demo siteFE = forest enterprise (e.g. Austrian State Forests), TC = Transport company Technical Meeting

19-21 Jan 15


Task 7.1 – Definition of evaluation methodology

Progress of task and planning actions for M 13-18


20 January 2015


Objectives

Drawing a process/data flow charts

Identifying bottlenecks of the supply chain

Illustrating differences between conventional and SLOPE supply chains

Recommending and describing of performance rating and evaluation methods of every process within the timber supply chain


Tasks & Time schedule I

Task Date Involved partners

Drawing a process/data flow chart for theAustrian demo site 30/01/2015 BOKU

Drawing a process/data flow chart for theItalian demo site 13/02/2015 CNR

Identifying of possible bottlenecks of the timber supply chains 13/02/2015 BOKU, CNR

Drawing a draft process/data flow chart for SLOPE system 20/02/2015 BOKU

Feedback on all process/data flow charts 27/02/2015 CNR, MHG, GRE, ITENE

Identifying potential strengths and risks of the SLOPE system 27/02/2015 BOKU, CNR, MHG,

GRE, ITENE


Tasks & Time schedule II


Overview of potential performance rating and evaluation methods - for tree marking 13/03/2015 CNR, ITENE, BOKU

- for felling 13/03/2015 GRE, CNR, BOKU

- for extracting 13/03/2015 GRE, CNR, BOKU

- for processing 13/03/2015 GRE, CNR, BOKU, COMP

- for trucking 13/03/2015 CNR, ITENE, BOKU

- for wood quality assessment 13/03/2015 CNR, BOKU


Tasks & Time schedule III


Supply chain performance rating and evaluation methods 27/03/2015 BOKU, MHG

Selection and description of all performance rating and evaluation methods 31/03/2015 BOKU, CNR, MHG,

GRE, ITENE, COMP

Selection of criteria and indicators for measuring performance (benchmark) -> Input

for task 7.231/03/2015 BOKU, CNR, MHG,

GRE, ITENE, COMP


Process/data flow charts

Flow charts are used in designing and documenting complex processes. They help visualize what is going on and thereby help to understand a process, and perhaps also find flaws, bottlenecks, and other less-obvious features within it. Objectives

Getting a better overview about the timber supply chains in montain forests Exposing possible strenghts and risks of the SLOPE system

Elements Supply chain processes (activities) Decisions within the supply chain Connection of activities and decisions (sequence) Visualisation of connections to forest data and data bases (information flow)


remote sensing (UAV, TLS, GIS)

marking cable line with RFID

tags, GPS and all-weather tablet/PC

(based on 3D forest model)

marking harvesting

operations with RFID tags, GPS and all-weather

tablet/PC (thinning/final

yield) based on 3D forest model and

tree quality indicators

logging the alignement by

forest worker with chain saw

(portable GPS receiver and RFID

tag reader/programmer)

installing the cable yarding

system

logging forest stand/logging marked trees

hauling by carriage (GPS and all-weather tablet/PC, RFID reader,

real time recording of line data,

integrated load cell)

crosscutting with intelligent

processor head (RFID tag reader/

marker, near infrared

spectrometer and hyperspectral

camera to identify timber quality

storage timber at the landing

transport with intelligent truck (RFID reader,

GPS positioning, BUS CAN, GPS/

UMTS/3G module)

saw-mill (dimension-data, assortment mix

demand)

collecting data with a portable

device

daily data set is transmitted to

the remote server

marking cable line with

conventional colour spray

marking harvesting

operations with conventional colour spray




system


operat-data (inventory data, map and aerial

photo) for planing harvesting operations

hauling by carriage

crosscutting with conventional

processor head; collecting data

(length, diameter, volume)

storage timber at the landing

transport with conventional truck

(Felixlogistik: FHPDATLOG

ÖBF)


demand)

OLD SYSTEM SLOPE

collecting data for forest enterprise

remote sensing (UAV, TLS, GIS)

marking cable line with RFID

tags, GPS and all-weather tablet/PC

(based on 3D forest model)

marking harvesting

operations with RFID tags, GPS and all-weather

tablet/PC (thinning/final

yield) based on 3D forest model and

tree quality indicators



(portable GPS receiver and RFID

tag reader/programmer)


system


hauling by carriage (GPS and all-weather tablet/PC, RFID reader,

real time recording of line data,

integrated load cell)


device


the remote server

SLOPE

marking cable line with

conventional colour spray

marking harvesting

operations with conventional colour spray




system




hauling by carriage

CURRENT SUPPLY CHAIN




data evaluation (UAV, TLS, GIS)

designing a 3D forest model

on the base of picture and laser-

data (height, breast height diameter and

geometric information

(straightness, taper,…) of all individual trees

defining tree quality indicators

using the whole data-set for a

forest information

model to plane

harvesting operations

logging

transport intelligent truck (RFID reader, GPS positioning, BUS CAN, GPS/UMTS/

3G module)

carriage GPS and all-weather

tablet/PC, RFID reader, real time recording of line data, integrated load cell)

intelligent processor head

RFID tag reader/marker, near infrared spectrometer and hyperspectral camera to identify timber quality

markingtrees/cable line/

harvesting operations (RFID tags, GPS, tablet/

PC)

forest workerportable GPS receiver and RFID tag reader/

programmer

saw-mill dimension-data, assortment mix

demand


device


the remote server

DATA FLOW SLOPE

DATA FLOW OLD SYSTEM


crosscutting conventional

processor head; collecting data

(length, diameter, volume)

transport conventional truck

(Felixlogistik: FHPDATLOG

ÖBF)


demand)



data evaluation (UAV, TLS, GIS)

designing a 3D forest model

on the base of picture and laser-

data (height, breast height diameter and

geometric information

(straightness, taper,…) of all individual trees

defining tree quality indicators

using the whole data-set for a

forest information

model to plane

harvesting operations

logging

transport intelligent truck (RFID reader, GPS positioning, BUS CAN, GPS/UMTS/

3G module)

carriage GPS and all-weather

tablet/PC, RFID reader, real time recording of line data, integrated load cell)

intelligent processor head

RFID tag reader/marker, near infrared spectrometer and hyperspectral camera to identify timber quality

markingtrees/cable line/

harvesting operations (RFID tags, GPS, tablet/

PC)

forest workerportable GPS receiver and RFID tag reader/

programmer

saw-mill dimension-data, assortment mix

demand


device


the remote server

DATA FLOW SLOPE

Bottlenecks in timber supply chains

Bottlenecks show efficiency gaps in the supply chain and they identify processes and activities, which have to be improved

Examples for bottlenecks from the INFRES project according to Austrian participants (Innovative and effective technology and logistics for forest residual biomass supply in the EU (311881) (Erber, Kanzian & Holzleitner, 2014))

Cost-ineffective transport

Poor accessibility due to steep terrain

Lack of landings and landing space

Long transport distances


Bottlenecks in timber supply chains

Possible bottlenecks in SLOPE Additional effort and time consumption for

marking trees with RFID tags reading the RFID tags by carriage, processor and truck wood quality measurements by implemented sensors

Post-processing for forest model data Survival rate and technical functionality during field operations Higher effort for set-up, calibration and maintenance of technical

devices



Thank you for your attention!


20 January 2015


2nd technical meeting - wp7

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