Projects
The project consists of 17 universities: 5 from program countries FR, DE, LV, EST, BET; 4 from KZ, 4 from RU and 3 from BY; two stakeholders of related field: 2-from KZ, 1- from RU and 1-from BY and P1 spin-off company- P6 from DE.
The overall objectives of the proposal are: to support the modernisation of the higher education (HE) in space exploration and intilligent robotic system in the targeted Universities in BY, KZ, RU through innovation of two cycles curricula in line with the new development in the area, the labour market demand and according to the Bologna Process and best practice.
In relation to the output/outcomes: review/analysis of the current programmes /curricula (BA, MA) in space technologies and robotic; to upgrade current programmes/curricula inclusive ECTS; to develop a set of 14 new core curricula and 7 transferable modules; adopt on institutional/accredit on national level; to develop, publish, purchase the new tutorials, handbooks, syllabi; to develop WEB based platform; to prepare a set of documentation for ROBOLAB purchase/install the equipment; to retrain academic/non-academic teachers in new curricula and methodology; Master Classes in new curricula held in ROBOLAB; pilot teaching students in new curricula using ROBOLAB establishment of TETRO; developing a set of documentation /purchasing/ installing equipment; staff training/pilot operation/networking of TETRO; to address the envisaged impact: promotion of closer exchange between HEI community and labour market to meet the needs of labour market to improve training in space technologies and robotic to foster employability of educated youth and to enable networking between various stakeholders on this issue. Academic content: 16 curricula and module inclusive ECTS using updated teaching techniques and modern learning environment.
For more information please contact Tiia Rüütmann.
The page is being updated.
The page is being updated.
COST Estonian coordinator
Ülle Must
Eesti Teadusagentuur
Ulle.Must@etag.ee
+37 27 300 330
Project IOT-OPEN.EU is designated to provide high quality education materials for those, willing to start, develop and enhance their knowledge on IoT on basic level as well as on the professional one.
The project introduces following results:
Classic Courses
IOT-OPEN.EU project provides free materials for Bachelor, Graduate and Post-Graduate students as well as Professionals and VETs willing to upgrade their knowledge on IoT field up to the latest State of the Art. Partner universities are introducing full time modules into their curriculum.
e-Learning
Those that are willing to study IoT remote will be offered a distant learning tools in MOOC model. This offer is provided for all those Students, VETs, Technology Fans and even General Audience that is unable to join our courses and our student community physically. This offer is also provided for people with disabilities and those from distant regions that are not unable to join us due to the long distance travels.
Remote and distant labs
IOT-OPEN.EU project is preparing a set of distant and remote access labs that users may interact remotely with real devices and systems of IoT. Consortium is preparing to run a network of labs with various devices.
IOT-OPEN.EU project is funded by European Community under Erasmus+ programme KA2 (Strategic Partnership for Higher Education). Consortium is lead by Silesian University of Technology and is composed of:
- SUT (Poland, Gliwice) - Silesian University of Technology (Politechnika Śląska),
- ITMO (Russia, Sankt Petersburg) - National Research University of Information Technologies Mechanics and Optics,
- ITT (Estonia, Tallinn) - ITT Group,
- RTU (Latvia, Riga) - Riga Technical University (Rigas Tehniska Universitate),
- UME (Italia, Sicilia, Messina) - University of Messina (Universita Degli Studi Di Messina),
- TalTech (Estonia, Tallinn) - Tallinn University of Technology (Tallinna Tehnikaülikool).
Project implementation started in 1 December 2016 and lasts till 31 May 2019.
For more info contact Raivo Sell or visit project web page http://iot-open.eu/
Project Innovation Framework for Challenge Oriented Intelligent Manufacturing – InforM - aims at creating a cross-sectorial integrated Innovation Support Digital Framework for the mechatronics and mechanical engineering SMEs with the objective to support companies in the digital transformation process.
Framework is smart, knowledge intensive and flexible innovation support structure, where the nodes (different institutions) have been determined and mapped to answer to the needs of manufacturing. The Framework develops and implements customised smart engineering and educational solutions responding to the actual needs of the SMEs in BSR.
Duration: January 2019-June 2021
Total budget: 1,964,050 EUR
European Regional Development Fund: 1,600,887.50 EUR
Parnership
Partnership consists of 9 institutions from 6 countries representing wide circle of end users (mechatronics industry) and R&D.
- Tallinn University of Technology (EE)
- Innovative Manufacturing Engineering Systems Competence Centre (EE)
- Machine Technology Center Turku Ltd. (FI)
- Lappeenranta University of Technology (FI)
- Odense Robotics (DK)
- Vocational education and training center "Liepajas State Technical school" (LV)
- Lithuanian Innovation Centre (LT)
- Klaipeda Science and Technology Park (LT)
- Torun Technology Park (PL)
Main activities:
- mapping the target SMEs digital readiness and challenges in partner regions,
- defining partner regions´ specific competences and existing best collaboration practices,
- modelling a transregional collaboration model for Innovation Support Digital Framework with the functionalities for accumulating, analysing and generating new knowledge, solutions and case studies, as well as offering engineering, educational and consultancy support to SME`s,
- developing a Smart Solutions Virtual Environment as a collaboration platform,
- piloting the Innovation Support Framework by selecting, developing and putting in practice nine real support measures to the SME`s via Smart Solutions Virtual Environment.
Use cases
Collecting and analyzing camera data to be installed on a machine tool
Name:
Collecting and analyzing camera data to be installed on a machine tool
Company:
Lappeenranta-Lahti University of Technology
Description:
In this project, a workpiece is measured by the means of an optical sensor, typically a laser triangulating sensor which sends a laser beam on a known trajectory, and an offset camera detects the point the beam impacts the workpiece and thus is able to calculate distance. By measuring several points, it is possible to compute the shape of the workpiece object. The objective of the project is to apply a commercially available sensor to measure weld bead shape and object shape (distortion). This data can be used to calculate stress in the joint and potentially detect the more major cracks. The ability to estimate fatigue life (a function of the stress) and detect cracks is critical for quality management and structural safety. Instructions and best practices on how to integrate a new device into a production processes are developed in this project. Using a fully or partially automatic non-contact method does greatly simplify the measurements. In addition, it is possible to capture 3D features and associate and compare these with Welding Procedure Specification (WPS) and other requirements. Manual measurements of some features (some types of cracks, bead height, etc.) may strongly depend on the experience of the human worker. Automating these will decrease reliability on subjective performance. Modern optical methods are highly accurate and tolerate worse (noisier/higher interference) measurement conditions than before. Ideally, the measurement gives the results in real time or nearly real-time, reducing the cycle time in inspecting workpieces. Combining the three previous should bring considerable cost savings in an industry which requires a lot of inspections. The method is probably not sufficient to pass customer requirements and standards yet but reducing the number of faults detected in the “final” inspection reduces costs (especially if or rather when an external audit is required) and the earlier faults are detected, the less work is wasted.
Digitalization Concept for the Company
Name:
Digitalization Concept for the Company
Company:
Description:
Today's inevitability is that business is moving strongly towards digitalization and automation. It is important for the company to understand the goals, needs and expected results. The aim of this solution is to determine the need, scope and implementation possibilities of developments based on the company's results and goals. The realization of needs is fixed in the digitalization (development) roadmap, which specifies the activities in time and space and thus helps to increase the sustainability and efficiency of the company.
MES applications for monitoring and planning
Name:
MES applications for monitoring and planning
Company:
Description:
The model based real-time production monitoring and prediction system is with optimal functionality (custom based reconfiguration possibilities), low investment cost and implementation time (production process analyse model will help to fasten the implementation time, with specification of KPI’s and system implementation procedures) for different types of SME’s in the field of machinery, wood and furniture industry. The advanced Production Monitoring and Prediction System is detecting, measuring and monitoring the variables, events and situations, which affect the performance and reliability of manufacturing systems and processes. Efficient, real-time feed of information for production control and monitoring includes data acquisition about state of equipment, production orders, flow of materials, quality of products, process data and other necessary data which are used for making the proper and optimized decisions, regarding manufacturing planning, improved use of available resources, planning of equipment maintenance etc.
Concept development for digitalisation of confectionary company: connecting processes
Name:
Concept development for digitalisation of confectionary company: connecting processes
Company:
Description:
The objective of this use case is to develop a concept for the downstream process optimisation, process data acquisition, measurement (relevant KPIs) and analysis, and a concept for the transformation of the warehouse hardware and process. The concept development is the first stage of a staged process of process innovation, product innovation (it could include other vectors of innovation – distribution and customer relationship), the other two stages being project development and implementation/integration of the project results. The end of the stage of this project is delivering the Business Case needed for further investment into IT system. Challenge to be addressed: A midsize confectionary company factory makes more than 300 different brands of sweets: chocolates with various fillings, truffles, dragée, etc. with different flavourings and condiments. It has its own sales points, as well as shales channels through retail shops. It has small export The company sees the challenge in increasing the efficiency of downstream processes – marketing & sales and outbound logistics. It has two aspects. First, the sales process is not followed systematically, information is scattered – partly it is in the accounting system (client list and sales, invoices), part of it is documented by the sales personnel (leads, after sales follow-up, customer satisfaction). Thus, the sales process data is not readily available for measurement, analysis, forecast, and learning. The second aspect is related to the warehouse, both equipment and process. Currently there are 20 -120 shipments daily, the warehouse workers have to collect from different places. They have to know where each item is located, this knowledge is gained only with experience. The warehouse seems to be small for current operations, its expansion is problematic. It’s equipment seems to be outdated, the process of collection of shipments is not optimal, it is time consuming, there are many mistakes. All this results in shipments being rejected by the customers and sent back with the consequences for the profitability and reputation. Activities to be implemented: A. 1. Marketing & Sales process analysis with the client, data needs definition, information flow, responsibilities as is, and to be after transformation. Visualisation. 2. Selection of existing/ search for solutions for adaptation to the company requirements. 3. IT solution implementation. B. 4. Warehouse process analysis. 5. Optimal solution development (layout, rack systems, equipment, IT support, alternatives, suppliers) 6. Business Case definition (including cost and benefits)
COBOT for assembly and material processing applied in high mix/low volume production companies
Name:
COBOT for assembly and material processing applied in high mix/low volume production companies
Company:
Torun Regional Development Agency S.A.
Description:
To develop cobotic solution based on flexible and mobile COBOT (Most probably one of Universal Robots model) to be implemented in small or medium manufacturing company with high mix/ low volume production specification. Solution would be handling interchangeable processes like grinding, welding, quality control, simple assembly or production preparation operations. Main advantage of implementation would be flexible interchangeability of application’s within one company. This will allow the company to utilize the solution according to current production demands or challenges regarding to workforce. In assumption cobot will be placed on movable platform and equipped with set of adapters for certain purposes for example grippers, driller, screwdriver unit, riveting unit, grinding unit, welding or soldering unit. It would be considered also to equip the cobot with computer vision to advance its autonomy and automate selected processes. This solution will be reasonable to implement in SME only if it will be highly flexible (will cover few processes), mobile (can be moved from one work cell to another easily), user friendly (easy programable, SMED ready) so it will support human operations as much as possible which will generate high ROI rate.
Collection of Production Data
Name:
Collection of Production Data
Company:
Machine Technology Center Turku Ltd.
Description:
Use cases with the aim of presenting the uses of the data collected from production and how it is technically possible to implement it. This approach focuses in particular on the production environment of SMEs and assesses the economic viability of investments. The review is done from the perspective of production control, business and technical implementations.
ERP selection process for SMEs in the metalworking industry
Name:
ERP selection process for SMEs in the metalworking industry
Company:
PIKC "Liepājas Valsts tehnikums"
Description:
Creating a framework for companies for ERP comparison and selection (technology used, licensing model, 5-year total cost, integration effort estimation, implementation effort estimation, associated risk models, etc.) Creating an industry-specific ERP comparison framework (CAD integration capabilities, MES integration capabilities, production scheduling, and monitoring capabilities, etc.) Researching the global market for available ERP solutions and mapping them according to the framework Auditing companies that already have deployed popular ERP solutions and compiling the report - advantages, disadvantages of the systems, etc. Selecting 3 companies in need of ERP solution, analyzing their requirements and guiding them through the ERP selection process according to the framework
Robots on-line and off-line programming
Name:
Robots on-line and off-line programming
Company:
Description:
Industrial robots are executing certain engineering task in the company. There is necessary to understand the industrial task and determine how the robot match the task. In this case very important is to understand the robot construction. The basic components are joints and links. These are forming the coordinate system of the robot. Drives and sensor are very important physical parts of each industrial robot. For fulfilling the certain task different end-effectors are used. For programming the robot, it is important to understand the robot technical capabilities and the robot control system functions. On-line and off-line programming possibilities are both important. The last option allows to save down time of the industrial robot system, when making a new program for it. Objective After the training the trainee knows what are the main parts of a robot system, how to operate (jog the robot in manual mode and run programs in auto mode) a robot safely, and to create robot programs in Off-line/On-line mode.
This project seeks the possibilities to fabricate nanocellulose from the industrial waste what is left after extraction of gelling agent furcellaran from red alga Furcellaria lumbricalis. In this process easily recycled environmentally friendly chemicals were used.
Application of innovative technology allows to use unique raw materials for Estonia without loss. Produced red algal nanocellulose opens new opportunities for the local business to use it in various innovative applications like water holding and absorbing materials, anticeptical materials, or semiconductive devices in the form of hydro- or aerogels.
The produced nanocellulose product containing micro- and nanofibers is harmless for the human digestion system (proved by the toxicological studies performed elsewhere) and could be used for pharmaceutical applications as it maintains the natural form of cellulose crystal structure (cellulose Iα).
Project total funding 193798,38 eur, of which 174418,40 eur is external funding.
Funding by KIK (Environmental Investment Centre) and The Marine Environment Programme (Keskkonnaprogramm: Merekeskkond)
Project Name: Smart Industry Centre (SmartIC)
Project Number: 2014-2020.4.01.16-0183
Measure: Estonian Research Infrastructures Roadmap
The total project budget: 1,977,511.00 EUR (including non-eligible VAT)
The eligible project budget: 1,679,129.48 EUR (without VAT)
Support: 1,595,173.00 EUR.
Applicant: Tallinn University of Technology (TalTech)
Partner: Estonian University of Life Sciences (EMÜ)
Project period: 01.01.2017-31.12.2018
Page is being updated.
Tallinn University of Technology (TalTech) in cooperation with IMECC Ltd organised a work-shop „SmartIC Robotics - a new Digital Innovation Hub in Estonia“ to discuss the level of robotization among Estonian manufacturing SMEs, their development needs and possible future cooperation with partners.
Work-shop took place at the 21st of February 2017 in frame of the I4MS (ICT Innovation for Manufacturing SMEs) network mentored by the H2020 ReconCell project representative Prof. Florentin Wörgötter from Göttingen University.
The work-shop was opened by the pro-rector Prof. Renno Veinthal, then Prof. Tauno Otto introduced the SmartIC (Smart Industry Centre) of TalTech, Prof. Wörgötter talked about the ReconCell project, Tavo Kangru (PhD student) gave an overview of the company survey on robotization and three Estonian practical use-cases were introduced: Norcar Ltd (Martinš Sarkans), IPTE Automation Ltd (Jaan Jeeberg) and ITT Group Ltd (Raivo Sell).
At the end of the work-shop discussions and networking continued along with the excursion to the laboratories of TalTech.
Tallinn University of Technology in cooperation with IMECC Ltd is preparing a feasibility study to establish a new hub – the SmartIC Robotics which objective is to increase the level of robotization in Estonian manufacturing SMEs.
Strategic development areas 1 (SDA1): Integrated Systems and Smart Manufacturing Technologies The general objective of the SDA1 is to develop and implement smart manufacturing technologies (advanced monitoring, manufacturing capability enhancement through raising process intelligence, virtual environment for simulation of customer order management in networked manufacturing, and manufacturing execution environment for smart factories) for integrated manufacturing in the field of mechanical engineering, mechatronics, transport, electronics, furniture, and food industries. These technologies will help to increase overall productivity, production efficiency and quality with developing and implementing web-based real time optimal control functions for making informed business decisions for manufacturing systems and customized products, using continuous monitoring, simulation and analysis of machine and process performance data.
Strategic development areas 2: Intelligent Reconfigurable Manufacturing Based on Robot-cells The modern industrial robots and their technical solutions (software, programming flexibility, measuring ability) enable to create production programs rapidly (using 3D virtual environment) and to implement them quickly into production. Through monitoring the environment and using intelligent decision making there is possible to decrease the cycle times due to eliminating the non-value adding activities. The production processes where the robots have the great impact are following: finishing (grinding, polishing, deburring, painting), assembling (compose sub-assemblies, tack welding, gluing) and welding (MIG/MAG process, TIG welding). Intelligent robot cells development is important part of this SDA.
Strategic development areas 3: Design Optimization of Multifunctional Engineering Structures An aim of the activities of SDA3 is to develop novel multifunctional structures according to the current needs and future vision of the industry partners and IMECC. The main types of multifunctional structures is structures with structural health monitoring capabilities and laminated glass structures with improved mechanical and sound attenuation properties. Due to multidisciplinary character of the research topic (mechanics, optimization, ICT, electronics, material science) cooperation with Competence Centre ELIKO and four Institutes of TUT has been foreseen. The activities of the research group are focused on mechanical engineering (structural analysis and design optimization), ICT (numerical algorithms and procedures) and numerical methods (discretization of governing equations of the structure).
Applied research: Production analyse and optimization with smart manufacturing technologies (sub-project PR1.2)
Period of the sub-project: 01.09.15.-31.12.17.
Amount of support: 148575 EUR
Description of the sub-project
In this sub-project, a company analysis system to find and map the company’s equipment and key performance indicators (KPIs). Monitoring of the key performance indicators of the company is carried out by using a real-time production monitoring and optimization system. The system brings out the working hours, work stoppage and productivity of the machine tool at a selected time, and helps to find production bottlenecks, which helps to increase the company's productivity and reduce production costs.
The objective and result of the sub-project
The main objective of the sub-project is to develop a production monitoring and optimization system of a company with fast implementation.
The result of the sub-project is a system for a company analysis and real-time production monitoring.
Supporting fund: EU Regional Development Fund
The project is supported by the Competence Center action and is carried out in cooperation with IMECC OÜ.
Applied research: Smart reconfigurable manufacturing model (sub-project PR2.1)
Period of the sub-project: 01.09.15.-31.12.17.
Amount of support: 12500 EUR
Description of the sub-project
The core of the sub-project is the creation of a smart reconfigurable manufacturing model that enables the competence center to deliver services and solutions, create a portfolio of services for companies and develop web-based software that helps analyse the feasibility of deploying new robot-based systems.
The objective and result of the sub-project
The main objective of the sub-project is to develop the new smart reconfigurable manufacturing model with the robot-based solutions implementation platform for SMEs and network of actors (solution users, solutions providers, teaching institutions) that gives fast and cost-effective support for various issues occurring during the planning and usage phase, possibility to remote monitoring and analysis of the robotised production facilities for optimizing work, for preventive actions, as well as possibility to ensure cooperation with various institutions for achieving the reconfigurable, adaptive manufacturing. The sub-project results in a smart reconfigurable manufacturing model for network manufacturing with deployment methodology and a web-based integrated solution that helps to analyse the feasibility of deploying new robot-based systems.
Supporting fund: EU Regional Development Fund
The project is supported by the Competence Center action and is carried out in cooperation with IMECC OÜ.
Applied research: Modular multifunctional robot-cell design (sub-project PR2.2.1)
Period of the sub-project: 01.07.16.-31.12.19.
Amount of support: 27000 EUR
Description of the sub-project
A reconfigurable robot-based manufacturing is designed for rapid change its structure and modifying the functionality in order to quick respond to the changes in production capacity and sudden market changes. The core of the sub-project is development of the integrated modular multifunctional robot-cell that includes development of the models and their functionality for robot cell optimal design, development of the cost-effective robot-cell solutions and development of new challenge for robot-based manufacturing increasing the flexibility and productivity of production and simplifying the usage of robot-based solutions in SMEs.
The objective and result of the sub-project
The main objective of the sub-project is to develop the integrated modular for smart robot-cells and these effective implementation in different manufacturing process of SME-s. The results of the sub-project:
- Methodology and analysis of the smart robot-cell suitability for SMEs;
- Description of functionalities and operational rules for integrated utilisation of robot-based workplace in reconfigurable manufacturing;
- Methodology for development of the conceptual solution of the robot-cell platform.
Supporting fund: EU Regional Development Fund
The project is supported by the Competence Center action and is carried out in cooperation with IMECC OÜ.
Applied research: Design of laminated glass composite panel (sub-project PR 3.2)
Period of the sub-project: 01.09.15.-30.06.19.
Amount of support: 332400 EUR
Description of the subproject
The sub-project is focused on the design of multi-functional laminated glass composite panels with advanced sound attenuation and stiffness/strength properties according to EU standards. Study include structural analysis and design optimization, also acoustic analysis.
The objective and result of the sub-project
Design of glass laminate with predefined stiffness/strength, transparency characteristics and sound attenuation properties.
The results:
- Acoustic testing facility (in the premises of scientific partner TTÜ) and corresponding know-how;
- Methodology for design of multifunctional laminated glass composite panel;
- Destructive and non-desctructive test procedures and corresponding know-how for characterization of laminated glass composite panels and its components.
Supporting fund: EU Regional Development Fund
The project is supported by the Competence Center action and is carried out in cooperation with IMECC OÜ.
Educate and Train emerging Challenges: Internet of Things
Taking the education of IoT to VET, C-VET and universities.
The project is addressing the EU objective VET: Enhancing access to training and qualifications for all through the C-VET and horizontal objective Open and innovative education, training and youth work, embedded in the digital era. The project idea is to offer an innovative Internet of Things (IoT) teaching and learning package for vocational education incorporated with teacher training modules and an open broker platform.
Overall objectives of the project are as followings:
- Provide easy-to-use and easy-to-teach modular IoT kits for VET schools scaling also higher educational institutions
- Offering an open IoT broker platform that can be hosted on premise. To this platform IoT components and web based services can be registered too, offering simple chains of conditional statements controlling other registered components / services
- Increasing the involvement of VET schools in emerging technologies by providing teachers training (blended learning through MooCs and presence) in IoT
- Providing open learning material for IoT education in class
Project consortium is carefully built up based on existing successful cooperation and to meet project objectives by covering all major areas of strategic partnership between different organizations. The partners and their main responsibilities are:
Bochum UAS: Coordination, IoT MOOC, IoT broker system
- it:matters: Coordination and IoT broker development, open education
- ITT Group: IoT hardware development and interfacing
- Tallinn University of Technology: VET training curriculum module,
- Web Application Development: IoT broker system
- Consorzio Istituti Professionali: Pilot the IoT teaching package and providing feedback
- Glocal Factory: Dissemination and network building
For more info contact Raivo Sell or visit project web page https://train-iot.erasmus.plus/