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Project SLOPE
WP 5 – Forest information system development
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Introduction
TASK 5.2System for near real time control of operations (MHG) achieved by the
implementation of a series of different interfaces to access the FIS and allow a number of different operations.
COMPLETEDDeliverable 5.2 - Submitted
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Harvesting process
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Introduction
MHG
3. PROCESSING HEAD SOFTWARE (CNR)
-Real timber products data- Timber products summary- Quality indexes
4. HARVESTING MONITORING - TRE- Field app- Real time tree show- Harvesting report
1. FIS (GRA)-Display single trees and attributes -Select points to set the cable line-Display cutting simulation results -Select single trees to be harvested-Display harvesting status
GPS COM
2. – LOGISTIC AND SUPPLY CHAIN (MHG/ITENE)- Storage areas - Transport tacking
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Planning information
Tree data recording. Inventory data
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Planning information
3D trees visualization Single tree selection for harvesting
Technical Meeting 5 Jul 16
Field Application (TM) -harvesting plan-:•2D terrain image (UAV available offline)• RFID tagging for trees to be cut• Add additional trees from field at the marking stage •Trees marked with different colours: Selected (to cut), Tagged (with RFID) and others.
T5.2- Platform for near real time control of operations
Planning information
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Planning information
Review Meeting 5/July/16
T5.2- Platform for near real time control of operations
Harvesting Monitoring (trees)
Cutting monitoring (TM app):• Single tree view showing the position on the map of all harvested trees.• Change tree status
Issues and limitations:-The trees cut have not been previously selected
- Solution: View and change status of trees not selected for cutting
-The trees cut are not in the DB- Solution: Add new trees to be cut
Review Meeting 5/July/16
T5.2- Platform for near real time control of operations
Harvesting Monitoring (trees)
Cable crane and processor head
To be completed in
task 6
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Real Time integration
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Real Time integration
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Tree data view
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Real Time integration
Technical Meeting 5 Jul 16
T5.2- Platform for near real time control of operations
Real Time integration
Create new timber storageAnd orders
Technical Meeting 5 Jul 16
Project SLOPE
Technical Meeting5 Jul 16
T.5.3 – Online purchasing/invoicing of industrial timber and biomass
Trento, July 5th, 2016
Overview
Technical Meeting 5 Jul 16
• Status: 90% ready• Length: 20 Months (From M9 to M28)• Involved Partners
• Leader: MHG• Participants: GRAPHITECH, CNR, TRE, ITENE
• Aim: Design, develop and implement an online purchasing/invoicing platform for industrial timber and biomass as a part of FIS
• Output: D.5.03 Platform for purchasing/invoicing
Objectives
• Specify and implement sales platform for Slope project• Create communication platform where sellers and buyers
can connect• Integrate market prices to the platform• Implement bidding and group sales functionality• Integrate forest data from the slope central database• Implement management features for the forest data• Deploy sales platform prototype to live server
Technical Meeting 5 Jul 16
Work done
• We made some research work about different sales platforms
• First prototype of the sales platform completed• Import forest data from the Slope FIS database and
manage it• Create deals• Group sales functionality • Bidding system• Communication between seller and buyer (via email)
• Sales platform is integrated to Slope user interface (T6.3)
Technical Meeting 5 Jul 16
Deliverable overview
Technical Meeting 5 Jul 16
Register new user
Technical Meeting 5 Jul 16
User estates from slope database
Technical Meeting 5 Jul 16
Forest data management
Technical Meeting 5 Jul 16
Add new deals for bidding
Technical Meeting 5 Jul 16
Active sales deal
Technical Meeting 5 Jul 16
Next steps – Final version
• Integrate Italian and Austrian wood market prices• Implement invoicing feature• Small fixes to the deal feature• Automate data transfer from the slope fis web service• User interface fixes• Publish the deliverable prototype
Technical Meeting 5 Jul 16
Summary
• First version of prototype is ready• MHG technology stack change affected to the timetable• We start second iteration of development to finalize this deliverable• Italian and Austrian prices need to be converted form that platform
supports• Goal is to finalize this task on September 2016
Technical Meeting 5 Jul 16
Technical Meeting 5 Jul 16
Contact info
Veli-Matti Plosila [email protected]
Seppo Huurinainen [email protected]
Thank you for your attention
Forest Information System Development
Technical Meeting 4/July/16
T.5.4 – Short-term optimization: operational, ongoing and contingency planning
Trento, July 5th, 2016
Kühmaier Martin, Pichler Gerhard, Kastner Maximilian Institute of Forest EngineeringUniversity of Natural Resources and Life Sciences, Vienna
Contents of the presentation
1. Overview
2. Introduction
3. Unexpected events during harvesting operations
4. Working safety risks in the timber supply chain
5. Variables, which are influencing or limiting harvesting operations
Technical Meeting 5/July/16
Overview
• Status: ongoing (70%)• Length: 20 Months (From M8 to M27)• Involved Partners
• Leader: BOKU• Participants: CNR, ITENE, MHG, TRE, GT
• Aim: - Daily planning for timber harvesting- Optimization in the supply chain management- Risk management during emergency- Guidelines for short term planning optimization
• Output: D.5.04 (M27)Short-term optimization module of the FIS
Technical Meeting 5/July/16
Introduction
• The aim of task 5.4 was to develop a tool for short-term optimization foroperational, ongoing and contingency planning
The FIS module should include following parts:
• Optimization of a short-term harvest schedule (MHG)• Daily planning for harvesting operations (BOKU)• Logistics Optimization concerning the product flow (ITENE, MHG)• Support for ongoing management activities(TRE)• Modelling of contingency plans including risk management (BOKU, MHG)
Development of guidelines and indications for short-term optimization for the daily planning (CNR, BOKU)
Technical Meeting 5/July/16
Technical Meeting 5/July/16
Flow charts of harvesting operations
• Evaluation for the current systemand the SLOPE system
• The work flow is displayed in flowcharts
Technical Meeting 5/July/16
Unexpected events during harvesting operations
• The influencing events weredisplayed in flow charts
• A list of suggestions for avoidance of these events
Technical Meeting 5/July/16
Examples of unexpected events
Unexpected events Avoidance
1 Cable yarder must wait until tree is felled
Better coordination of workflows, training, work experience, shift of workforce
2 Forest worker must wait for carriage
Better coordination of workflows, training, work experience
3 Processor operator must wait for carriage
Better coordination of workflows, training, work experience
4 New software doesn’t work (RFID tags, RFID reader, intelligent carriage, intelligent harvester head, intelligent truck…)
Checking software
5 traceability of the RFID tags after logging is not possible
Subsequent marking with new tags
6 Lost RFID tags during harvesting operations
Subsequent marking with new tags
Technical Meeting 5/July/16
Working safety risks in the timber supply chain
Manual fellingFalling objects
Log extractionMachinery hitting
Log landingChain shot
Loading, transport and unloadingLog moving in risk zone
Maintenance of access roadsAccessability
General hazardWeather conditions
Source: Safe Work Australia, 2014 Stampfer, 2015
Technical Meeting 5/July/16
Variables, which are influencing or limiting harvesting operations
• Identification of important variables
• Description of variables
• Effect of increase or decrease
• Examples of influence for productivitymodels
Technical Meeting 5/July/16
Optimization of logistics
• Optimization of transport distance
• Consideration of truck category
• It is possible to add customers, storages, harvesting plots
• Possibility of scenario analysis
Technical Meeting 5/July/16
Outlook• Implementation into SLOPE FIS
• Decision which components to be implemented• Contingency plans• Productivity models• Optimization model
• Cooperation/Solutions from sister project FOCUS• Interface between Woodlandmanager and IPTIM
• Finalization of the deliverable D5.04: September 2016
Contact info
Martin Kühmaier: [email protected]
Thank you for your attention
Technical Meeting 5/July/16
Project SLOPE
T.5.5 – Mid-long term optimization, strategic and tactical planning
Trento, July 5th, 2016
Huurinainen Seppo, Rasinmäki Jussi, Plosila Veli-Matti
Technical Meeting 5/July/16
Contents of the presentation
1. Overview
2. Introduction
3. Iptim software as a Tool
4. Tasks to be completed
Technical Meeting 5/July/16
Overview
• Status: 65%• Length: 20 Months (From M8 to M27)• Involved Partners
• Leader: MHG• Participants: GRAPHITECH, CNR, TRE, ITENE
Aim: In the task a module will be developed for the FIS that will support the planning task of optimally allocating harvests to theforest area in 1-10 years timeframe to meet the targets for harvested volume Output: D.5.05 (M28)
- Mid/Long-term optimization module of the FISDelay due to Simosol has been focusing on FOCUS project
Technical Meeting 5/July/16
Introduction 1/2
This FIS module should include following parts:
• produce harvesting and sales plans that are realistic and achievable. This is done by supporting easy updating of growth models to track developments in the research in the area, and by simulating at stand level different alternatives for the type, intensity and timing of the management actions that are all viable options for the management of the stand considering the operational constraint in the mountain forests (BOKU).• produce harvesting and sales plans that are optimal within the parameters set by the previous item. Goals can be set to minimize harvesting cost or maximize the net present value of the cash flow generated over the planning horizon; the optimization process will include spatial and temporal clustering functionality, in order toproduce optimal starting point for short-term operational planning; i.e. in order to make utilization of harvesting machinery and workforce as efficient as possible (Task 5.4) these aspects are already taken into account when producing long-term harvest scheduling plans (TRE, CNR).
Technical Meeting 5/July/16
Introduction 1/2
This FIS module should include following parts:
• support for monitoring the quality of management plans, based on the accumulated historical time series, by maintaining a data repository over time of the information gathered with sensors during the inventory and harvest operations (GRAPHITECH, FLY, TRE)- IPTIM• support the adaptation of the plans, and re-planning, based on the accumulated supply chain information in the FIS; i.e. for the long-term plans a continuous and adaptive planning approach will be supported (BOKU, CNR).- IPTIM
Technical Meeting 5/July/16
IPTIM as a TOOL
Further develop and implement procedures/algorithms developed in the sister project, FOCUS(biomass and industrial timber supply chains – Finland & Belgium pilots)
www.iptim.com
Technical Meeting 5/July/16
Modeling – growth & yield‣ A set of model systems for both yield prediction at stand level
and growth predictions at tree level available
‣ Inventory data used to calibrate the model systems
Technical Meeting 5/July/16
Produce harvesting and sales plans that are realistic and
achievable (BOKU)
• Topic: produce harvesting and sales plans that are realistic and achievable. This is done by supporting easy updating of growth models to track developments in the research in the area, and by simulating at stand level different alternatives for the type, intensity and timing of the management actions that are all viable options for the management of the stand considering the operational constraint in the mountain forests.
• IPTIM; group of mathematic equations
Technical Meeting 5/July/16
Produce harvesting and sales plans that are optimal within
parameters (TRE, CNR)
Topic: produce harvesting and sales plans that are optimal within the parameters set by the previous item. Goals can be set to minimize harvesting cost or maximize the net present value of the cash flow generated over the planning horizon; the optimization process will include spatial and temporal clustering functionality, in order toproduce optimal starting point for short-term operational planning; i.e. in order to make utilization of harvesting machinery and workforce as efficient as possible (Task 5.4) these aspects are already taken into account when producing long-term harvest scheduling plans.- Average prices to be used (Italy, Bolzon etc.)
Technical Meeting 5/July/16
Support the adaptation of the plans, and re-planning
(BOKU, CNR)
Topic: support the adaptation of the plans, and re-planning, based on the accumulated supply chain information in the FIS; i.e. for the long-term plans a continuous and adaptive planning approach will be supported- Woodlandmanager + IPTIM- Mobile app for real-time storage management developed and integrated with the FIS
Technical Meeting 5/July/16
Data Integration
JSON Data
SLOPE FISWeb Service
SLOPE FIS Database
IPTIM
Woodlandmanager
• Extend SLOPE FIS Web Service when needed
Interface to be completed in September resulting in commercial add-value services for forest owners using WM in Finland
Technical Meeting 5/July/16
Results
• Models for mid-long-term harvesting planning (demo site)• Process models
• Indicators for mid-long term planning• Profits• Costs
• Guidelines to optimize planning• Contingency plans
Technical Meeting 5/July/16
Contact info
Seppo Huurinainen
Thank you for your attention.
Technical Meeting 5/July/16