Slope KESLA task 1.2
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This document summarizes work to define hardware and equipment needs based on user requirements. Questionnaires were distributed to forest owners, contractors, mills and others to understand needs. Key defined requirements included integrating an RFID reader into the harvester head to track each processed log in real time along with GPS and log marking systems. Combining this data in a single system would allow for analysis across the procurement chain. Potential hardware combinations are assessed for a scenario involving Norway Spruce harvesting, including a Kesla 25RHS-II head mounted on an excavator or rubber track base machine. Limitations for modifications to the harvester head include size, weight tolerance, and protection from environmental factors.
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- The iTruck hardware uses a Raspberry Pi connected to GPS, GPRS, and an RFID reader to automatically record tracking data as trucks are loaded and travel routes.
- Testing of the iTruck system occurred in forest areas in Spain in 2016, demonstrating its ability to optimize logistic planning and transportation of logs.
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Task 4.6 – Implementation of the log/biomass grading system (by CNR)
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Statistics
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Parameters
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This document describes a smart system for agriculture monitoring that uses sensors to track crop health data and soil conditions in real-time. The system uses an Arduino Yun microcontroller connected to sensors for soil temperature, rainfall, sound, and an IP camera. The sensors monitor and collect data on soil temperature, rainfall, sounds that could indicate pests, and visual crop status. This data is analyzed to detect any issues and provide alerts to farmers so they can take timely preventative actions to improve crop yields. The system aims to make farming more efficient through automated real-time monitoring and analysis of field conditions.
RFID: What & Why - Stefano Coluccini
The document provides an overview of RFID technology including:
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2nd Technical Meeting - WP3
This document summarizes the progress of various tasks under Work Package 3 of the Project SLOPE, which aims to integrate novel intelligent harvesting systems operating in mountain areas.
Task 3.1 on intelligent tree marking has tested RFID tags on trees and developed a roadmap for the tagging process. Equipment for tagging and reading tags is available but the GPS capacity may need improvement.
Task 3.2 on processor head selection has defined requirements, requested offers from manufacturers, and selected a model, but the processor head has not yet been purchased. Re-engineering work is planned.
Task 3.5 on intelligent transport trucks is adding RFID reading, GPS, and data transmission capabilities to trucks to track timber and optimize
C03 – Profinet for machine builders & oems - Xaver Schmidt, PI
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PROFINET is widely accepted and well proven in plant engineering.
This is because a lot of PROFINET functions were defined in close collaboration with customers and are used now in many applications. But also in the mechanical engineering the modular and adaptable architecture of PROFINET together with its comprehensive function set allows innovative and cost-saving machine automation.
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PROFINET offers built-in TCP/IP communication, which is independent from special HW- or SW- modules in the devices or controllers. So communication between the overlaid production line control and the devices is easily possible; or an adaptation of the machine by a new parameterization or controlling by vision systems.
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This document discusses progress on Task 2.1 of Project SLOPE. It outlines the participants in the task and their roles in collecting and analyzing forest information using remote sensing. Work completed so far includes acquiring satellite imagery of test sites, conducting trials combining aerial imagery and laser scanning in Ireland, and identifying additional test sites in Trento and Austria. The next steps are to get permission to fly in Italy, test equipment at new sites, finalize the methodology, and disseminate results.
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International Journal of Business and Management Invention (IJBMI)
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
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C03 – Profinet for machine builders & oems - Xaver Schmidt, PI
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Slope Final Review Meeting - WP8
The document summarizes the results of WP8 Task 8.1 on dissemination planning and publications. It describes the dissemination activities carried out, including developing dissemination materials, maintaining a project website and social media presence, organizing workshops and conferences, engaging with other related projects, publishing scientific papers and articles, and issuing press releases to promote the project results. The task was completed over the full 36-month project period and ensured visibility of the project activities and wide dissemination of the technical results.
Slope Final Review Meeting - Introduction
This document summarizes the agenda and objectives of a final review meeting for the SLOPE project. The SLOPE project aims to develop integrated processing and control systems to improve sustainability in mountain forest production. The meeting agenda covers reviewing progress on tasks in areas like requirements analysis, forest data collection, intelligent harvesting systems, quality control, and system integration. The objectives of the meeting are to evaluate fulfillment of deliverables, continued relevance of objectives, resource use, contributions of partners, and plans for impact and results dissemination. The review involves 10 partners across several European countries working for 36 months on developing and testing new forest monitoring and harvesting technologies.
Slope Final Review Meeting - WP7
WP7 tested the SLOPE harvesting system across two pilot sites in Italy and Austria. At the Italian site in Sover, RFID-tagged trees were felled and extracted using cable yarding. Some technical issues were encountered but valuable lessons were learned. The system was improved and demonstrated again at the Austrian site in Annaberg, where the whole supply chain was tested and productivity was higher. Comprehensive data was collected across operations and sites to validate system performance and identify areas for further improvement.
Slope Final Review Meeting - WP6
The document summarizes the work done in Project SLOPE for system integration (WP6). It discusses the three main integration tasks: 1) integrating forest inventory and harvesting systems, 2) integrating forest management systems, and 3) validating the integrated system. Each integration task involved defining components, timelines, and test scenarios. Functional and non-functional requirements were tested across nine software versions, with over 90% of tests passed. The work package developed an integrated SLOPE system ready for pilot demonstrations and field testing.
Slope Final Review Meeting - WP5
The document summarizes work from Project SLOPE's Work Package 5 on developing a forest information system. It discusses five tasks related to creating different modules for the system. The tasks focused on developing a database, real-time operations platform, online purchasing platform, and short and long-term optimization modules. All prototypes were completed and delivered by month 36. The system integrates forest data and provides tools to support planning, operations management, sales and optimization across timescales. It represents an innovative approach to developing a modern, integrated digital system for the forest sector.
Slope Final Review Meeting - WP4
The document describes work done in Task 4.4 to optimize acoustic measurement protocols and develop prediction models for characterizing wood quality using stress wave tests, with the goals of determining two quality indices: an index (SW#1) relating stress wave velocity to overall log quality, and an index (SW#2) relating free vibration frequency to external log quality. Sensors were integrated with a forest harvester to measure stress waves and vibrations, and algorithms were developed to compute the quality indices from the acoustic data.
Slope Final Review Meeting - WP3
The document summarizes the work done for Task 3.4 of the SLOPE project. An intelligent processor head was developed that can perform grading and marking of logs. Sensors were added to measure stress waves, cutting forces, near infrared spectra and hyperspectral images. The processor head can determine wood properties and mark each log with an RFID tag containing collected information. All systems were designed, implemented and tested on the processor head prototype, fulfilling the objectives of the task.
Slope Final Review Meeting - WP2
This document summarizes the final meeting of the WP2 Slope Project in Brussels on February 1, 2017. It discusses the completion of deliverables, data collection from various partners, tree classification and detection methods, estimation of environmental parameters, combining data sets from different sources, logistics modeling, and analytics. The meeting highlights that the project has proven the concept of combining data from remote sensing, UAVs, and TLS to map up to 1,000 hectares in a single flight and provide useful data for both harvesting and long-term forest management - providing a solution beyond the state of the art.
Slope Final Review Meeting - WP1
WP 1 of the Project SLOPE was completed and focused on defining requirements for the system. It identified user needs through questionnaires, defined the necessary hardware, equipment and sensors, specified the user interface guidelines for desktop, mobile and in-vehicle access, developed a data and metadata model for storing forest information, and designed a scalable system architecture based on service-oriented principles. All deliverables were finalized and submitted on schedule, though some partners left the project early on. The work specified what was needed to develop the SLOPE Forest Information System.
SLOPE 2nd workshop - presentation 3
1) Researchers evaluated RFID UHF tags for electronically marking standing trees by testing different tag models attached using screws, staples, or other methods. Tags attached using staples on the underside of bark performed best, with all tags still functioning after one year.
2) The study examined how factors like tag and reader position, moisture content, and dynamic reading influence RFID readability. Distance between tag and reader, moisture content, and angle had significant effects on readability, while tag position on or within the tree also impacted performance.
3) Preliminary results found that moisture content reduction to 40% improved readability by 20%, and tag readability decreased with increasing distance between tag and reader, but
SLOPE 2nd workshop - presentation 4
Researchers tested the durability of RFID UHF tags during timber harvesting operations. They applied two types of tags - Wintag Flexytag and Smartrac Shortdipole - using single or double stapling. The tags were applied to trees and logs in three sites undergoing cable yarding and tractor transport. They found an overall 97% survival rate for tags, with 91% surviving in the site with the steepest terrain. Tag survival was slightly lower for shortdipole tags stapled singly compared to tags stapled doubly or Wintag tags. The researchers concluded RFID tags can successfully endure forest operations and provide traceability, though visibility may decrease over longer transport distances.
SLOPE Final Conference - innovative cable yarder
This document discusses innovations in cable yarding machinery developed through the SLOPE project, which received EU funding. It describes new automated machines like the TECNO self-propelled carriage, which can transport loads of up to 3.2 tons at 4.5 meters/second and automatically unload. An automatic chocker system and rope launcher are also presented, which aim to increase efficiency and safety in cable logging operations. The overall goal of these new technologies is to automate processes and facilitate communication within the logging workflow.
SLOPE Final Conference - sensors for timber grading in forest
The document discusses a project that aims to develop an automated timber grading system using multiple sensors. The goals are to optimize log segregation, improve supply chain efficiency, and provide data to refine growth models. Sensors will assess quality indexes for properties like density, knots, and decay. Models will predict grade based on sensor data. A combined quality index will determine suitability for different end uses, integrating indexes from different sensors. The system will help match logs to their best uses and increase value recovered from forests.
SLOPE Final Conference - remote sensing systems
This document discusses Coastway's involvement in the SLOPE project, which tested the use of unmanned aerial vehicles (UAVs) and remote sensing to support forest inventory work. As part of Work Package 2, Coastway captured aerial imagery using fixed-wing drones across several test sites in Ireland. The drones tested different camera payloads, including RGB, multispectral, and near-infrared cameras. The goal was to create digital terrain models, digital elevation models, and digital canopy models, and to combine the UAV data with terrestrial laser scans and satellite imagery. The document describes the flight planning, site preparation, and data processing methods used to generate orthomosaics, point clouds, and models of the
SLOPE 3rd workshop - presentation 3
This document discusses using near infrared (NIR) spectroscopy to characterize bio-materials. It outlines how NIR can be used to determine the chemical composition, physical properties, and anatomical features of materials like wood and paper. Specific applications mentioned include identifying wood species and origin, assessing virgin wood, characterizing particleboards, selecting biomass for conversion processes, and developing calibration models to predict the chemical composition of willows. The document highlights the benefits of NIR including its non-destructive nature, speed, and ability to determine multiple components simultaneously.
SLOPE 3rd workshop - presentation 4
Bio-materials for building envelope-expected performance, life cycle costing & controlled degradation
SLOPE 3rd workshop - presentation 1
The document provides an overview of near infrared (NIR) spectroscopy and its applications for wood science and technology. It discusses the history and principles of NIR spectroscopy. Specific topics covered include the electromagnetic spectrum, molecular vibrations, instrumentation, sample presentation, calibration and validation strategies, and applications for measuring various wood characteristics. The document serves to introduce NIR technology and its use for analyzing wood.
SLOPE Final Conference - intelligent machines
This document discusses the design and development of sensor systems to be installed on a harvester head as part of the SLOPE project. It describes taking measurements of an existing harvester head using scanning and 3D modeling techniques. The document outlines plans to design new subsystems that include a scanning bar for cameras, sensors to measure cutting and debarking forces, systems for evaluating stress waves in wood using lasers and accelerometers, and an RFID tagging system. The goal is to integrate these new sensor systems and hardware into the harvester head to enable machine control and data collection for research.
SLOPE 4th workshop - presentation 5
SLOPE Viewer und SLOPE Woodlandmanager
Software für Ernteplanung und Optimierung
SLOPE 4th workshop - presentation 4
The document discusses processor heads for logging machines and quality assessment of logs. Processor heads are used for felling, delimbing, and crosscutting trees. Sensors can measure diameter, length, and position. Marking and sorting by volume, length, and assortment allows for simplified logistics. Quality is assessed visually in the forest and with sensors in sawmills. A concept for an intelligent processor head includes sensors like NIR, hyperspectral imaging, RFID, and stress waves to interact with databases, measure loads and volumes, and provide full traceability and quality assessment of individual logs. RFID marking associates quality indexes to logs for full traceability of timber products.
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Slope KESLA task 1.2
- 1. Task 1.2 Hardware and equipment definition The existing and possible new technical solutions are so many that we have to work from the end user upwards. This is the reason why the complete definition of T.1.2. Hardware and equipment definition (KESLA) is mainly based on the results of WP1- T.1.1.: Users and System requirements (ITENE). Questionnaire directed to: • • • • • • Forest owners Harvesting contractors Transport companies Mill companies Biomass processing companies Others… Kick-off Meeting 8-9/jan/2014
- 2. Task 1.2Hardware and equipment definition Definition of requirements … • • • • • A fixed RFID reader integrated in the Harvester Head. Each processed log will be measured and recorder on real time. GPS in the base machine. Marking system log by log. Base machine logs. Kick-off Meeting 8-9/jan/2014
- 3. Task 1.2Hardware and equipment definition …and system analysis: The integration of all information described above will allow for the analysis. The integration of all data in one single system is the key to analyse and provide with valuable information along the procurement chain. The combination on the described data will provide more information and that information we will have to decide how and which information is transferred (Bluetooth, wireless, by colour marking, print, USB, other…) MHG expertise is very important here. Systems to be combined: 1. 2. 3. 4. 5. A fixed RFID reader integrated in the Harvester Head. Each processed log measured. *1 GPS in the base machine. Marking system log by log. Base machine logs. *1 - Kesla Control unit interface Linux based: StanForD Standard ( StanForD: Standar For Data). Link with more info about the communication protocol: http://www.skogforsk.se/en/About-skogforsk/Collaboration-groups/StanForD/StanForD-2010/ Kick-off Meeting 8-9/jan/2014
- 4. Task 1.2Hardware and equipment definition Questionnaire T1.1. Market needs Hardware definition T1.2. Machine Interface (HMI) T1.3 % Covered Needs Hardware and Software meets all needs? Software definition Intelligent processor head T 3.4 Kick-off Meeting 8-9/jan/2014
- 5. Task 1.2Hardware and equipment definition Working assumptions on the following Information: • • • • • • • • Inventory by laser scan. RFID tag on each tree. Tree cut by chainsaw. Whole length transport by cable to a landing zone. Landing zone with Excavator + Kesla Harvester Head Tree by tree traceability must be kept and integrated into the platform. Harvester information updated on real time. Tree species is Norway spruce. Kick-off Meeting 8-9/jan/2014
- 6. Task 1.2Hardware and equipment definition Scenario A: Norway Spruce with a normal diameter distribution where 85% of the trees have a diameter under 55CM Upper limit 670mm diameter. For that Scenario the possible combinations Kesla Harvester Head + Base machine are: A.1. Kesla 25RHS-II + Excavator A.2 Kesla 25RH-II + Rubber wheel machine Kick-off Meeting 8-9/jan/2014
- 7. Task 1.2Hardware and equipment definition A.1. Kesla 25RHS-II + Excavator Excavator requirements: Weight from 14 to 17 Tones Oil Pressure: 210-240 bar (3045-3480 PSI) Oil flow: 170-210 l/min (45-55 gpm US) Engine power: 60-85 kW (80 – 115 hp) Kick-off Meeting 8-9/jan/2014
- 8. Task 1.2Hardware and equipment definition A.1. Kesla 25RHS-II + Rubber wheel Requirements: Weight from 13 to 20 Tones Oil Pressure: 210-240 bar (3045-3480 PSI) Oil flow: 200-250 l/min (53-66 gpm US) Engine power: 75-100 kW (100 – 135 hp) Kick-off Meeting 8-9/jan/2014
- 9. Task 1.2Hardware and equipment definition Equipment Limitations for modifications introduced in the Harvester head: • • • • • • • Size Weight Protected against Shock Protected against Dirt Protected against Moist Protected against High temperatures Protected against Vibrations Kick-off Meeting 8-9/jan/2014