4th Technical Meeting - WP5

transcript

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

Harvesting process

Introduction

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

Planning information

Tree data recording. Inventory data

3D trees visualization Single tree selection for harvesting

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.

Review Meeting 5/July/16

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

Harvesting Monitoring (trees)

Cable crane and processor head

To be completed in

task 6

Real Time integration

Tree data view

Create new timber storageAnd orders

Project SLOPE

Technical Meeting5 Jul 16

T.5.3 – Online purchasing/invoicing of industrial timber and biomass

Trento, July 5th, 2016

Overview

• 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

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)

Deliverable overview

Register new user

User estates from slope database

Forest data management

Add new deals for bidding

Active sales deal

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

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

Contact info

Veli-Matti Plosila veli-matti.plosila@mhgsystems.com

Seppo Huurinainen seppo.huurinainen@mhgsystems.com

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

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

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

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)

Flow charts of harvesting operations

• Evaluation for the current systemand the SLOPE system

• The work flow is displayed in flowcharts

Unexpected events during harvesting operations

• The influencing events weredisplayed in flow charts

• A list of suggestions for avoidance of these events

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

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

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

Optimization of logistics

• Optimization of transport distance

• Consideration of truck category

• It is possible to add customers, storages, harvesting plots

• Possibility of scenario analysis

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: martin.kuehmaier@boku.ac.at

Thank you for your attention

Project SLOPE

T.5.5 – Mid-long term optimization, strategic and tactical planning

Huurinainen Seppo, Rasinmäki Jussi, Plosila Veli-Matti

Contents of the presentation

1. Overview

2. Introduction

3. Iptim software as a Tool

4. Tasks to be completed

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

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).

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

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

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

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

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.)

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

Data Integration

JSON Data

SLOPE FISWeb Service

SLOPE FIS Database

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

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

Contact info

Seppo Huurinainen

Seppo.huurinainen@mhgsystems.com

Thank you for your attention.

4th Technical Meeting - WP5

Education