DIH aims at giving the local innovation ecosystem a boost, involving manufacturers, academia, entrepreneurs, associations, and public sector in the process.
Our hub aims at creating real business impact for the regional innovation ecosystem involving corporations, academia, entrepreneurs, associations and further relevant stakeholders, activating the process of digital innovation development and adoption by local manufacturers while establishing a new source of technology for the European SMEs
DIH aims to use public grants, including both national and international programmes. The need for additional funding to facilitate growth and development of the DIH can be financed by private and public investment. Even though we do not expect to attract funding from Ukraine during the first stages, in 3-5 years, after several successful cases, the hub may start to receive money from both sources. In the meanwhile, HULIT will seek to attract funding through available grants schemes.
Based on the developed business plan the DIH has a formed partnership, environment to work with and a vector where to move
Консорціум у складі ГО Агенція Європейських Інновацій, Національний університет Львівська Політехніка, компанія Сівітта Україна та Асоціація підприємств промислової автоматизації України створили цифровий інноваційний хаб DIH I4MS Ukraine, який отримав підтримку у рамках конкурсу європейської ініціативи I4MS (http://i4ms.eu/).
Початкова спеціалізація хабу була у сфері Iнтернету Речей, але на даний момент Хаб готовий співапрацювати по всьому спектру пріоритетів Індустрії 4.0.
Хаб DIH I4MS Ukraine є платформою для співпраці між виробничими підприємствами, розробниками інноваційних рішень та наукою.
Модель діяльності Хабу передбачає співпрацю з всіма ключовими організаціями України та з входження у мережу європейських цифрових Хабів (http://s3platform.jrc.ec.europa.eu/digital-innovation-hubs-tool/-/dih/1331/view_hubid) з відповідними можливостями доступу до європейських інструментів підтримки нових технологічних рішень у сфері цифризації економіки і суспільного життя.
Link to national or regional initiatives for digitising industry
Part of the I4MS innitiative (ICT Innovation for Manufacturing SMEs) is the initiative promoted by the EC to support the European leadership in manufacturing through the adoption of ICT technologies.
Part of the national iniiative Industry 4.0 (https://industry4-0-ukraine.com.ua/)
On January 17, 2018, the Government of Ukraine adopted the Decree No. 67-р on the approval of the Concept for the Development of the Digital Economy and Society of Ukraine for 2018-2020 and approval of the plan of measures for its implementation. (https://www.kmu.gov.ua/ua/npas/pro-shvalennya-koncepciyi-rozvitku-cifrovoyi-ekonomiki-ta-suspilstva-ukrayini-na-20182020-roki-ta-zatverdzhennya-planu-zahodiv-shodo-yiyi-realizaciyi)
This Concept and plan among other purposes also foresee the transformation of domestic industries into competitive and efficient ones due to their "digitalization".
Digitalization of industry became the priority of state industrial policy.
The state policy of stimulating the development of Industry 4.0 has three directions:
- creation of Industry 4.0 infrastructure - industrial parks, digital hubs, branch technology centers, etc.;
- access to capital for the creation of new innovative industries;
- development of digital skills to prepare staff capable of working with Industry 4.0 technologies.
DIH Ukraine together with Association of Industrial Automation Enterprises of Ukraine act as the initiators of the creation of a national technology platform for the coordination of work in "Industry 4.0". in Ukraine.
Regarding the RIS3 strategies, Ukraine is at the initial stage of the RIS3 creation process.
JRC has engaged in the supporting the development of a research and innovation policy framework for S3 in Ukraine as one of the pilot projects within a two-year JRC-financed pilot project (http://s3platform.jrc.ec.europa.eu/ukraine) .
This pilot project has started early 2017 and is currently at the early stage where a targeted support in mapping of a country's economic and research fabric is needed while at the same time the country undergoes internally organising coherent approach, and mobilising and coordinating relevant stakeholders through an 'entrepreneurial discovery process'.
The development of the RIS3 strategies for individual regions of Ukraine is scheduled to begin in 2019. Our DIH Ukraine is one of the initiators of developing such strategies in Ukraine, and we have already identified the regions with the greatest potential in Industry 4.0 and Internet of Things.
According to our proposal, the project "Development of the activity of digital innovative Hub for the promotion of Industry 4.0 technologies among industrial enterprises of the region" was included into the operational plan of implementation of the Lviv region strategy for 2019-2020.
DIH Ukraine is a network organization, which currently consists of 4 partner organizations. All these partners have experience in implementing international projects.
At the moment, AEI is a partner in two H2020 projects (COMPACT and Idealist 2020). AEI also participated in FP7 projects (PICTURE and EECA2HORIZON).
Lviv Polytechnic National University (LPNU) has implemented several projects in FP7 (http://www.lp.edu.ua/en/ncpmka/experience-lviv-polytechnic-national-university-within-eu-framework-programmes), and now LPNU coordinates the IMAGE project under the RISE call of MSCA.
The Association of Industrial Automation in Ukraine (APPAU) together with the "IoT cluster" of Poland and the Lublin Science and Technology Park Polish-Ukrainian implement a project "The development of IoT clusters". The project is supported by the EU's EaP Plus project and has as its main objective to start intensive exchanges in the development of IoT clusters. (https://industry4-0-ukraine.com.ua/conference/)
Implementation of Internet of Things paradigm for SMEs
Client: Spheros-Electron JV (http://spheros.electron.ua/)
Spheros-Electron JV encompasses the sophisticated practice of generating and applying data-driven Manufacturing Intelligence throughout the lifecycle of design, engineering, planning and production.
The integrated system implementation could deploy foundational infrastructure for vertically and horizontally oriented manufacturing intelligence to collectively strengthen capability.
In this process we propose to provide the full range of IoT hardware platforms and complex (integrated) database creation.
The company suggests the implementation of such aspects as:
- Constructing of smart connected Things.
- Using of Cloud side with machine learning.
- Development of User Interface for human's control through web and/or mobile access allow to increase the quality of production and reduce the manual operations.
Description of Service
As a first step, we can offer improvement for existing output management and industrial infrastructure using IoT approach. At mechanical stamping stations, there is the number of counters blows information, which is used only in part. This information is gathering manually, that is why the company hasn’t exact information about count of produced details and stamp’s frequency using. Each of stamp has own life cycle (count of times used). When this count is bigger than planned, stamp creates detail with defect. The management of this company cannot predict the period of stamp using and organize resource planning.
Each department of this company has own database. The users collect information and create reports, but top management analyses only information from papers reports. That is why we propose to create an integrated database for this company.
Very important feature of this company is control of production quality, but this control is organized not automatically. The company uses the Ukrainian sensors’ system Peremon, which gather information from sensors and save to xls-files. We propose automatically loading of collected information to integrated database. This allows Big data techniques implementation.
The condition in productions rooms is not suitable for human. Now the company uses analogue devices and collect information from these devices manually. The next proposal is to use sensors for CO2 and temperature measuring.
The suggestion is to create a system of accounting release-forged parts for all 9 pieces of equipment using IoT. The system will record progress in real time and can monitor resource planning their stamps for future maintenance or repair
Making equipment smart
7, Bilopilskyi Schliach Sumy, Ukraine, 40000
Development, manufacturing, implementation and maintenance of automation systems for technological processes and production in the main industries:
- Oil and gas
- Power engineering
- Machine building
- Production of building materials
- Food Industry
The first machines set the task of controlling their technical condition to determine the rational terms and types of repair effects.
This task could be solved by controlling the temperature, monitoring the change in vibration and noise analysis mechanisms, etc.
With the introduction of planned preventive maintenance (PPM), this experience has been used to compile the rules of technical operation. Such replication has affected the quality of operations monitoring the technical condition.
The PPM system was guided by repair services in support of the trouble-free operation of the equipment by means of forced replacement of nodes in the average time. Often this did not lead to the desired results and increased the cost of maintaining equipment.
Investigations on the reliability of the equipment of the enterprises of the metallurgical industry showed a significant spread in terms of service of the same type of elements. It demanded the determination of the actual state of a specific node by seamless methods of technical diagnostics for the effective management of equipment reliability during the operation phase.
In fact, it turns out that at least 50% of regulatory repairs are performed without a special need. In some cases, the failure of the equipment after maintenance or repair is reduced, sometimes temporarily, until the end of the routing process, and sometimes permanently. The decrease of reliability indicators is conditioned by the appearance of missing defects in installation.
Carrying out unreasonable repairs can lead to failures due to possible mistakes in the collection of mechanisms. Disassembly of the proper mechanism should be considered as the main reason for the decline in the resource of mechanical equipment.
Our development relates to the technology of intelligent maintenance of machines and mechanisms that use as an electric motor drive.
Description of Service:
The main idea. the electric motor itself is an objective sensor of the state of the mechanism that it triggers. One of the parameters that is characterized by the relationship of the drive mechanism is the moment on the shaft of the electric motor. We assume that the analysis of the moment on the shaft of the drive motor will give us an opportunity to evaluate the current state of the mechanism itself.
Ltd. “Elius-M” has developed a calculation module and corresponding software for solving this problem for an asynchronous motor.
What to do next with this data? The obtained data are subject to research using known mathematical methods of signal analysis, such as digital filtering, spectral analysis, computing other metrics. The received set of parameters of the signal of the moment comes as the input data of the neural network, which after ""training"" should recognize the degree of deviation of the real state of the mechanism from the ideal. When exceeding a certain threshold ""not ideal"", the neural network will give notification of the need for technical inspection and the decision to carry out repair or prevention work.
Accumulation of data (Big Data) and analysis for typical mechanisms we can speak about more detailed diagnosis of the quality of work as well as individual nodes of the mechanism. This technology allows users to make both long-term forecasts, and operational analysis of the transient state of the mechanism.
Thus, we get a powerful tool for predictive diagnostics of industrial plants. We believe that the technology of engine moment analysis can be used both independently and in combination with other well-known techniques: vibration analysis, temperature analysis, which in any case raises the reliability of forecasts.
At the moment we have developed a device for asynchronous electric motor, ready for installation on industrial equipment. In this device, we implemented remote access that allows you to receive data over the Internet
Potential funding mechanisms:
- European H2020 со-financing for 70% of the total amount of financing.
- Direct funding