Kick-Off Meeting - WP3

Project SLOPE1

WP 3 – Integration of novel intelligent harvesting systems operating in mountain

areas (hardware development)

Task 3.1 – Intelligent tree marking

Kick-off Meeting 8-9/jan/2014

Tree marking in selective cuts

Key operation in forestry affecting cost of harvestoperations, environment, ecology, etc.

Forest inventory integration

An optimal organization of work implies treemarking after the definition of the haulingdirection (and the extraction system).

The forester should have access tofull information about the forestand the harvesting system

-> one of the goal of SLOPE

Marks must be easy to recognize

Different systems can be used (debarking, colours)

The new marking will couple with traditional system

Participants: - CNR- MHG- BOKU- GREIFEMBERG- TREMETRICS- ITENE

Interactions:- WP3. direct interactions tasks 3.2, 3.3, 3.4;- WP2. task 2.4 (3D modeling for harvesting planning) Virtual Forest Model which ideally will be implemented in the marking phase (M8-15);- WP5. task 5.1 (Database to support novel inventory data content) where a RFID code to single entry indexing is envisaged (M8-17).

Start M6, end M17 (May 2015)

Deliverables (both due in M17):D3.01 Portable RFID tag reader/programmerD3.02 RFID tag test

CNR, BOKU, GRE

high-precision GPS and rugged PC

• position of the planned cable-crane skyline• the plot’s boundaries • single trees already identified as candidates (WP2) • visualize the related information• potentially input new info in the database (species, diameter, defects, wildlife, etc.)

Deadline M17, by M12 a interim delivery report should be prepared

ITENE, MHG, TRE

RFID UHF tags, a programming/reading tool (possibly the former rugged PC) and an inserting device

• effectively marking trees• easy to place and to read• robust and long-lasting• definition of the most appropriate position in the standing tree• programmable blank tag or index association to database for unique identity tags • association of traditional marking (color, debarking) with IT marking

Deadline M17, by M12 a interim delivery report should be prepared

Many possible options

• nail shaped RFID tags• mixed UHF and color/barcode tags• others

Important is the interaction with the following steps of felling, hauling and processing (tasks 3.2-3.4)

Different solutions for different work stages?

• edge shaped RFID tag• butt position (only on felled trees or logs)• potentially bridging in task 3.4

Ergonomics in mountain forest is crucial

Devices must be light, compact, tough, waterproof and reliable

ChallengesThe chosen system will influence all the traceability performance

A cumbersome or heavy system would not be accepted by operators

The survival rate and reading success rate must be high and secured over a reasonable span of time

Interaction among tags and machines as well as tag readers and ERP is crucial

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

1 Definition of requirements and system analysis

1.1 Users and System requirements

1.2 Hardware and equipment definition

1.3 Human Machine Interface (HMI) definition

1.4 Mountainous Forest inventory data model definition

1.5 System architecture

2 Forest information collection

2.1 Remote sensing and multispectral analysis

2.2 UAV data acquisition and processing

2.3 On-field digital survey systems

2.4 3D Modelling for harvesting planning

2.5 Road and Logistic planning

3 Complex machine system

3.1 intelligent tree marking X X

3.2 intelligent tree felling/haulin

3.3 Intelligent Cable crane (improvement)

3.4 intelligent processor head

3.5 intelligent transport truck

3.6 data management back-up

4 Multi-Senror Model-based quality control of mountain

4.1 Data mining and model integration of stand quality indicators from

4.2 Evaluation of near infrared spectroscopy as a tool

4.3 Evaluation of hyperspectral imaging (HI) for the determination of

4.4 Data mining and model integration of log/biomass quality

4.5 Evaluation of cutting process (CP) for the determination of

4.6 Implementation of the log/biomass grading system

5 Forest information system development

5.1 Database to support novel inventory data content

5.2 Platform for near real time control of operations

5.3 Online purchasing/invoicing of industrial timber and biomass

5.4 Long term optimization; strategic planning

5.5 Mid-long term optimization; strategic and tactical planning

6 System Integration

6.1 Definition of the integration steps

6.2 First Integration – Forest inventory & harvesting systems

6.3 Second integration – Forest management

6.4 Third integration -System validation

7 Piloting the SLOPE demonstrator

7.1 Definition of evaluation methodology

7.2 Preparation and deployment of demonstrators

7.3 Trials Recommendations and validation cycle

7.4 Training

INTELLIGENT TREE FELLING AND HAULING

Task 3.2

Special professional garment

task 3.2 composed by GRE, CNR, KESLA, BOKU, ITENE, will develop professional garment fo forestry operatorsLight and resistent for easy movement and a a suitable distribution of weight with special pocket and communication devices.

According to safety and norms

And technological needs?

What kind of equipment and professional devices do we need for our new technological purposes?

We will study and share solutions which will be suitable for the operator

Professional features

GPS, TAGS reader and the duplication system should address to 3.1 task carried out by CNR

• Devices and equipment should fit with the pockets and the garment studied professionally.

Safety and strenght matter

• I would stress the importance of the professional feature of the equipment which is to be considered safe and strong for the use in the forest

Working in the forest

cuts, vibrations, dust, soil, noise, weather hazard may occur

I would suggest the use of an IP 67 level which can grant high protection against dust and water

Rising safety level

• The aim is to rise the safety level of the equipment which i think is not an easy tasks having seen that it is not always present in the field

• Our task will be to find solutions and alternatives in order to provide light and easy equipment able to grant safety and resistance at the same time in every environment

RFID UHF tags devices

The operator should be equipped with the necessary devices for tags reader and coupling tool being able to manage them according to needs

RFID UHF tags devices

In case of damage or malfunctioning the operator should be able to replace them by coupling or by turning them off from the plant

Other devices

• The operator should also be equipped with chainsaw, timber measuring tape. We will think about the chance of finding other types of reading measures devices.

Training matters

It is of utmost importance to convey the need and importance of training for new machinery and equipment and for the new working systemsCourses will be organized accordingly in advance

Evaluation and competence skillsForestry workers will be trained in working with automatic systems being able to evaluate and to interact for a safe and effective process outcome

INTELLIGENT CABLE CRANE

Task 3.3

Tecno carriagePLC data processing for controls and

functiong.some technical features:power 80 kW, max inclination 100%, supporting cable/skyline d=24mm, pulling up lifting power 3200kg, speed 4,7 m/sec

Tecno carriageAll weather rugged tablet pc with gps control and maps for the definition of the carriage position on the skyline

• Wi-fi interface with the carriage enabling its programming and managing

Measurement of load weight by mean of a tension sensor on the dropline drum

Tecno carriage• A fixed RFID reader integrated in the carriage

in a place that can get close (1-3 m) to the tags

• Real time recording of line data (inclination, tilt angle, lenght, numebr of intermediate supports, direction of hauling, fuel consumption, work cycle duration

Tecno carriage

• Plc integrated with data transmitter module GPRS/UMT/3G and internal hard disk for data storage with transmission to the black box

CHOCKERS

chockers

• Remote controlled and programmable chockers with automatic opening system

• Chockers will interact with the carriage• A built-in sensor will comunicate the opening

and closure of the chockers• .

chockers

• The opening command may prove ineffective for several reasons . The communication system built in in the carriage will thus allow a complete automation of the carriage working cycle in full security.

chockersWhen the unloading cycle occurs and when the built.in sensor will detect the absence of tension, it will stop the winch and will open the chockers

chockers

• The carriage leaves automatically the unloading point only when the chockers are open and zero load is registered on the dropline

chockers

• When the unoading area is being approached there will be a sensor with sound and light telling that the unloading manouvre is going to take place.

SYNTHETIC ROPE LAUNCHER

Synthetic rope launcher

• Skyline setting up system with synthetic rope launcher (compressed air propelled)

The system is composed by a trailer with two devices resembling fishing reels on board.

• These devices prepare the cable for the launch. The cable is measured according to lenght and launch data.

• The system will also include a winch for the winding and for the lay out of the supporting cable and a high pressure compressor(300 bar),

• The system includes also a launching tube and a motorized orienteering system working on GPS coordinates by tablet/PC

• With this system a single operator just needs to carry a light pulley and to insert the synthetic rope so taht to create the ring

• Then the winch winding up the synthetic rope will lay out the supporting cable setting up the skyline without fatigue and harzard.

•• We can say that we are talking about a

traction force of 1800 daN.

Synthetic rope launcher• Eventually with this system forestry workers

will be at ease with the difficult task in laying out cable during skyline setting.

A Slope type of company

Thank you for your attention

Task 3.4 Intelligent processor head

QuestionnaireT1.1.

Hardware and

Software meets all needs?

Market needsHardware definition

Software definition

Machine Interface (HMI)T1.3

Intelligent processor head T 3.4

% Covered Needs

The development of a prototype harvester head

INTEGRATION

A fixed RFID reader integrated in the Harvester Head.Each processed log measured.GPS in the base machine.Marking system log by log.Base machine logs.Others.

Hydraulic performance Computer controls Protections for Safety Link-up mods

Creating the prototype

• Controlling the pumps of the machine to give maximum oil flow to the harvester head Hoses and pipes designed for high oil flow *

• Oil cooler *

• Tuning of the engine for extra horsepower *

Hydraulic Performance

*Tasks performed by Excavator owner

Human Machine Interface

The integration of all data in one single system is the key to analyse and provide with valuable information along the procurement chain.

Operational real time online system

Intelligence starts with Safety • Safety frame around the cabin *

• Windscreen made of polycarbonatequalifies for the safety standards. No bars in front of the window thus excellent view from the cabin.

• Halogen or Xenon lights

• Extra protection for engine compartment, coolers, pumps, chassis… *

*Tasks performed by Excavator owner

Link-up and system integration Information Flow

Project SLOPE52

T 3.5 - Intelligent transport truck

Trento, January 08th, 2014

Index53

1. Scope2. Background3. Proposed Workplan4. Time Schedule5. Contact info

1. Scope54

• This task aims to:– Add intelligence to transport trucks– Technologies that will be implemented

• RFID• GPS positioning• BUS CAN connection to trucks• GPRS / UMTS

• To be developed from M12 to M24• Includes development of “D3.05 Intelligent Truck”• Partners involved:

– ITENE (leader), CNR, MHG, BOKU

2. Background55

• What is RFID

2. Background56

• What is GPS

2. Background57

• What is CANBUS

2. Background58

• What is GPRS

2. Background59

• Onfleet description

2. Background60

• Onfleet description– FMS developed by ITENE

• Localisation of vehicles• Historic of routes• status in real time - dashboard• Reports

2. Background61

• Onfleet hardware

2. Background62

• Onfleet software

3. Proposed Workplan63

• 1. Define trucks to use– Manufacturer– Model

• 2. Develop firmware for CAN DATA acquisition– Different depending on truck model

• 3. Develop RFID integration module• 4. Hardware installation in truck• 5. Check and analyse gathered data

4. Time Schedule64

• Deliverable: D3.05. Intelligent Truck

5. Contact info65

• Juan de Dios Díaz– juan.diaz@itene.com

• Emilio Gonzalez– egonzalez@itene.com

• Patricia Bellver– pbellver@itene.com

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