Time4Sys for system architects

 

Company info:

Name: ARTAL Technologies
Date founded: 1998
Number of employees: 110
Location: Toulouse, France
1 rue Ariane 31520 Ramonvile St Agne

www.artal.fr

Partners:

Time4Sys for system architects

Challenge

Bringing the power of timing analysis techniques directly into the system architect environment in order to help them to validate the design of their real time systems in early phase of development.

Solution

The solution extends the Capella system architecture environment and allows to define real time properties and constraints on the system in the early steps of design. Based on this information, the system architect can then launch analysis and simulations that validate the design and prove that the performance requirements will be met. If the design is invalid, the system architect will be guided to the specific parts that lead to invalid behaviours and need to be amended. The solution can be used in a generic engineering framework but also provides additional features for specific domains where timing is critical and where the complexity is such that it cannot be grasped by the human mind; an Arinc 653 customization supports this whole approach in the domain of integrated modular avionics so that a A653-based system architect could get timing analysis in a few clicks.

FED4SAE Support

The FED4SAE partners provide real use cases where the approach is useful and real feedback from the trenches with value assessment (cost, planning, quality).

Since we believe the solution is relevant in many industrial fields, FED4SAE will support Artal in the definition and packaging of solutions for specific domains out of our existing scope of clients.

Impact

Developing a bridge between Capella and Time4Sys is a key factor for the adoption of Time4Sys in the industry. Since it is more and more adopted by aeronautics and space industry, and start to be used for teaching, for smart cities, smart health, smart building, smart transport and others. The resulting tooling from this experiment aims at improving the design of these systems, by giving confidence – and potentially proves – on the ability of the system to match the expected behavior; a power that was previously restricted to few specialists, late in the process, in the best case…

For critical systems, it will reduce the risk and associated costs of finding critical issue during the late stages of development and improve confidence on the system design. This will also support the optimization of the real time systems by reducing the security margins usually set to cope with the unforeseen chain of events leading to a failure.

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HYPEMLIFE

Company info:

Name: GENPORT srl
Date founded: 2009
Location: Vimercate (IT), Commerce (US)

Genport srl makes advanced hybrid power sources for extreme environments suitable in residential, emergency, telecommunication, agriculture, electro-medical, industrial applications.

www.genport.it

Partners:

Predictive Control System to Maximize Lifetime of Hybrid Fuel Cells

Challenge

The vast majorities of today’s Battery Management Systems (BMS) for commercial lithium ion battery modules are based on empirical models of the lithium ion cell. Their prediction capabilities are limited and they cannot be used to estimate the State of Health (SOH), the Remaining Useful Life (RUL) and the Aging of the cells.

The main challenge to reduce the total cost of ownership concerns an optimized management of electrochemical power sources through adaptive control strategies and prognostic capabilities.

Solution

Genport designs and realizes hybrid fuel cells (HFC) combining smart energy storage systems based on Li-ion batteries with Proton Exchange Membrane (PEM) fuel cells. In order to improve reliability and lifetime, Genport has developed an algorithm capable to predict internal states (SOH, RUL) of lithium ion batteries based on their electro-chemical model (ECM).

Within HYPEMLIFE, Genport will embed a reduced order version of the original ECM into the STM32 high-end board.

The STM32 will communicate with the Li-ion battery and PEM fuel cell and will read actual voltage, current and temperature values for the battery; from those variables, HIPEMLIFE algorithm will continuously detect the internal states of the hybrid power source.

FED4SAE Support

HYPEMLIFE will be implemented on the ST Microelectronics processor STM32 family and it will be validated on Genport’s 7kW HFC system at the Energy Electronic Testbed of Fraunhofer IISB.

Impact

HYPEMLIFE prognostics capabilities will minimize the overall cost of energy and improve the power quality of hybrid power sources while matching uncertainty of renewable energy sources with variability of load profile.

Integrated inside a BMS the prognostic tool will provide high precision real time estimations of important internal states of the battery. It will also add diagnostic capabilities embedded inside a battery tester by identifying latent faults in the cells.

The collaboration with ST Microelectronics and Fraunhofer Institute will move Genport to the forefront in the design of advanced electronic & control solutions to provide better power solutions to the cleantech industry.

HyperCook

 

Company info:

Name: GreenTropism
Date founded: 2014
Number of employees: 12
Location: Paris, France

Greentropism provides application-driven tools and expertise for deployment of smart spectroscopy for industrials and/or consumers.

http://www.greentropism.com/

Platforms & testbeds:

ComputeCard
Hyper Vision

Partners:

HyperCook: AI multispectral imaging for smart online monitoring of baking process

Challenge & Solution

In food industry cooking and baking need to be closely watched as wrong cooking or baking may cause a product nonconformity. In extension, this leads to product loss, food waste and energy overconsumption. In order to prevent those expenses, with Hypercook, Greentropism’s target is to offer a smart solution for real time browning monitoring.

By combining multispectral imaging with relevant and robust algorithms, Hypercook will be able to monitor the biscuit baking process in a static or moving scene configuration. The solution may be later fully integrated and offer communication with the oven assuring a complete autonomous functioning.

A main challenge to address is the products variability, even within one type as biscuits (relief, shape, impact of the recipe, marking, etc), and also user-experience driven quality expected. Well adapted data treatment and right machine learning tool developed by GreenTropism will be key to solve this question and provide a decision-making information.

FED4SAE Support

Greentropism is specialised in spectroscopy data analysis and machine learning. FED4SAE allows GreenTropism to access CSEM capacities and expertise in multispectral imaging and product integration. Additionally, the insight in innovation management will be important for product development as well as to consider the right business models and market approaches.

Impact

Machine learning applied to multispectral camera offers a wide range of potential applications in food & beverage as well as in health, cosmetics, agriculture,… For example, after developing its expertise on biscuit baking levels, Greentropism will be able to extend applications to pastry, rotisserie, precooked frozen food processing,… Developing those CPS is beneficial to the market as it allows a more dynamic, cost reducing and homogeneous production. Hypercook is a step toward a greener industry with reduced waste and energy consumption.

SpectroX

 

Company info:

Althexis Solutions Ltd.
Name: Althexis Solutions Ltd.
Date founded: 2016
Location: Nicosia, Cyprus

www.althexis.com

Platforms & testbeds:

Hyper Vision

Partners:

The Next Generation Hyperspectral Dermoscopy System

Challenge

Skin cancer is responsible for 1 death per hour which accounts for more than 50% of all cancers combined. The most aggressive and hazardous skin cancer type is Melanoma, which represents 4% of all skin cancer lesions. Melanoma diagnosis rates are continuously increasing while the number of Dermatologists is decreasing relative to the population. This means that Dermatologists do not have the capacity to regularly examine the general population using conventional techniques. At present, multiple repetitive examinations are required in order to safely determine skin abnormalities. Most systems that are currently available to doctors are optical or digital dermoscopes, operating in the visible spectrum. Such devices have limited diagnostic and predictive accuracy.

Solution

SpectroX project will exploit a multispectral camera which will able to reveal and capture information rich images, both in and under the skin, beyond the capability of the human eye. With the additional aid of Artificial Intelligence (AI) and deep learning technology, this will allow for an instant and automatic evaluation of the underlying skin conditions. SpectroX will be a highly accurate, easy to use and early diagnostic system that will revolutionize the way in which skin conditions are detected. AI has rapidly evolved and matured during the last two decades and is currently used in a variety of medical devices providing outstanding performance. Spectral Imaging cameras enable precise and consistent image acquisitions, as the capture procedure is properly calibrated and represents an actual physical measurement. Althexis combines these technologies and brings a next generation dermoscope, with a special emphasis on the early detection of melanoma: “SpectroX”.

SpectroX as an examination device which will be a handheld system accompanied with an AI enabled software, capable of capturing and making predictions, automatically for 8 skin conditions. Althexis has established collaborations with doctors and clinics for them to characterize and annotate the spectral data needed for the AI training procedure. All data are uploaded to the Althexis Secure Cloud, enabling AI models to be continuously verified and improved. This process will provide single-shot predictions of unprecedented accuracy, compared to the conventional procedures.

FED4SAE Support

FED4SAE project will significantly benefit and accelerate the efforts of the company to commercialize and reach the market earlier. The collaborative network within the FED4SAE apart from the technological support of CSEM and Intel also provides Althexis with the business support from Blue Morpho. This gives the opportunity for the the company, during the development of the proposed system, to continuously improve company commercialization and marketing strategy.

Impact

Early detection of melanoma or certain skin conditions can significantly increase survival rates. The provided features of SpectroX system satisfy early and accurate detection of dangerous skin conditions, that could lead to reduced skin cancer rates and eliminate the elevated risk of metastases. SpectroX will also have a significant impact on the attitude towards skin screening from the general public and allow for a larger portion of the population to be tested.

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SpecifiCity

 

Company info:

Name: HOP UBIQUITOUS S.L.
Date founded: 2013
Number of employees: 26
Location: Ceutí, Murcia, Spain

Spanish SME focused on research and development of Smart Cities solutions with a strong background on remote management, standards, security bootstrapping, and scalability for large scale deployments.

www.hopu.eu

Platforms & testbeds:

Gas Sensors
Corrosive Gases

Partners:

https://fed4sae.eu

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 761708

SpecifiCity: Enhancing calibration process in gas sensors for Air Quality Smart application in Smart Cities

Challenge

Smart Cities need a complementary and reliable solution to extend current network of weather stations with a fine grain monitoring based on cost-effective, reliable and trustable air quality stations. Current solutions are very expensive and not offering a suitable data quality due to cross-sensitivity, fatigue and lack of extended calibration processes. For that reason Specificity will offer a high accuracy to measure in a precise way and in real time the air quality in the different points of the city innovating in new advanced processing capabilities for analogue signals with STM and innovations in calibration processes for gases with Fraunhofer. Thereby, cities will be able to obtain reliable air quality data to carry out informed decision-making for promoting a better quality of life, mobility plans, and vision for the city sustainability.

Solution

This project pretends to carry out a system integration-type application experiment that aims a disruptive evolution of Air Quality monitoring. Nowadays, electrochemical-type gas sensors are commonly used to detect the presence of pollutants/acids in the air. These sensors present a complex calibration process, high maintenance cost and low data accuracy. HOPU aims to develop and validate algorithms for calibration of gas sensors, anomalies detection, cross-sensitivity mitigation and fatigue compensation based on embedded data processing.

FED4SAE Support

The corrosive Gases and Gas Sensor Testbeds from Fraunhofer IISB will provide all the necessary equipment to expose the sensors to different concentrations of gas, temperature and humidity, which would allow us to generate the necessary datasets to train and validate the algorithms and additionally to contrast and validate the experiments carried out in our laboratory and as well as the accuracy of the calibration process for our air quality solution.

STM32 industrial platform will provide us all the necessary support in order to apply the algorithms and thus obtain the concentration of gas sensors in streaming (real-time). Regarding the device, it will carry out the gases concentration calculation and will collect the rest of parameters that will be calculated by through the specifically defined algorithms. In conclusion, STM32 platform is crucial to enable the necessary processing capabilities.

Impact

Towards a leader position at worldwide level in industrial sector on the development and manufacture of gas monitoring devices, the differentiation of HOPU solution will be based on quality and unique added value, raising its competitiveness. HOPU will gain clear market advantage in terms of the enhancement of the accuracy in a cost affordable way and high compatibility of calibrated sensors with platforms and IoT/Smart Cities ecosystems.

The final product as outcome of the project will manage to unify the physical world (device) with the virtual world (platform) as a Cyber Physical System (CPS). The results will be integrated in the Smart Spot product, adding the intelligence and algorithms to enable a new standards of data quality, reliability, trustability and specificity capabilities from gas sensors.

SpecifiCity will boost the competitiveness of HOPU thanks to the innovative solution which will add value and impact over smart cities market. In addition, the project will have also a positive impact over environment and health/society, since the opportunity to rise awareness and promote sustainability informed decision making for our cities built on top of trustable and reliable data sources.

Videos

PRESLEEP

Company info:

Name: Sleep Advice Technologies S.r.l.
Date founded: 2018
Number of employees: 4
Location: Corso Vinzaglio 12 bis
10121 Torino (TO) Italy

Platforms & testbeds:

IODP

Partners:

PRESLEEP “A wearable CPS for the automatic detection and prediction of the awake, drowsiness and sleeping stages”

Challenge

Sleep medicine is a medical specialty focused on the analysis, diagnosis and therapy of sleep disturbances and disorders and, more generally, about awake-drowsiness-sleep functioning. A very innovative approach focused on the early detection of drowsiness and, more generally, about fatigue and tiredness, has been developed by Sleep Advice Technologies (SAT).

Solution

The methodology is based on the non-invasive real-time measurement of a reduced set of physiological parameters, thus supporting the automatic detection and prediction of awake, drowsiness and sleeping stages through modern Artificial Intelligence techniques. The real time detection and prediction algorithm will be implemented into a wearable CPS prototype featuring a rich set of communication channels as well as GPS functionality. A very important aspect of the project is related to the capability of the proposed methodology/technology to detect additional high level emotional stages of the drivers (e.g. stress, anxiety, etc..) which can support the development of advanced control strategies for automated vehicle at AVL.

FED4SAE Support

The proposed system integration Application Experiment, run in tight cooperation with AVL, will accelerate the development process toward the most effective technological transfer into a successful mass market product.

The “System integration Application Experiment” will cover HW/SW integration and access enablement to both the Integrated and Open Development Platform (AVL) and the complementary skills from the competence centre (AVL).

The outcome of such an AE will be an integrated CPS prototype demonstrator verified and validated in realistic conditions at AVL.

Impact

The project aims at bridging health and transportation domains by fully developing the exclusive methodology and the related CPS technology which can be successfully applied in a wide range of applications in the respective domains. More specifically, this system integration AE is focused on the fine assessment and validation of the proposed methodology/technology in a realistic automotive environment through the support of AVL.

The wearable CPS will be based on a flexible and modular architecture in order to meet the target (i.e. cost, performance) of different applications.

The societal impact is very relevant (see also next paragraph for additional details) since it can drastically improve the quality of life by reducing the amount of risky situations due to loss of control of the subject while performing an action.

OPTILIGHT

Company info:

Name: ALITEC SRL
Date founded: 2006
Number of employees: 10
Location: Pisa, Italy

R&D company devoted to the development of environmental technologies and solutions.

http://www.alitec.eu

Platforms & testbeds:

STM32
Reliability

Partners:

Real-time, automated light type monitoring and optimal control in horticulture

Challenge

Despite the scientifically proven relevance of diffuse sunlight for crop production improvement, commercial light sensing technologies do not allow to effectively and affordably implement an automated control of shadings systems in horticultural practices. For this reason, the shading process is not optimized, and so is the production.

Solution

To fill this gap, we will integrate a cyber-physical system gathering real-time information about the type of sunlight available in greenhouses under continuously changing irradiation conditions, and providing input for controlling shading screens so as to optimize crop growth.

The system represents an innovation for it makes available, affordable, and easy to implement in commercial precision horticulture the real-time monitoring of sunlight type available to crops. Such a step-forward in the proposed application domain is enabled by a key component of the OptilLight system: the CIS sensor , a dramatically innovative device capable of performing a full irradiation assessment broken into all components (direct and diffuse) of sunlight.

FED4SAE Support

The OptilLight system will feature the STM32 microcontrollers’ technology, and will be tested by the BME team in its VRT facilities.

The financial backing, enabling technologies, and innovation management support ensured by the Fed4SAE consortium will help integrate, test and validate the system in real environment, thus paving the way to the commercial exploitation of advanced light control in the target market sector.

Impact

The successful implementation of the OptilLight project will allow to accelerate the launch to market of an affordable solution enabling the automated light type control, thus responding to the challenge of highly efficient horticultural management practices.

At innovation level it will increase the CIS sensor’s TRL with respect to its application in the precision horticultural domain, while widening Alitec’s technology portfolio with a ready-to-integrate solution demonstrated in operational environment.

WeaRTLS

Company info:

Name: OMTLAB Ltd.
Date founded: 2014
Number of employees: 10
Location: Budapest, Hungary

Real-time indoor positioning platform for industry4.0 applications and advanced analytics

www.sunstone-rtls.com

Platforms & testbeds:

WeSu
STM32
Reliability

Partners:

Integration of wearable sensors and a real-time localization system for Industry4.0 applications

Challenge

We at OMTLAB have developed our unique indoor positioning platform, the SUNSTONE RTLS. We focus on the manufacturing and logistics industry. Based on the feedback of our customers we foresee a huge market potential in wearable sensors combined with a high accuracy indoor positioning system. Though personnel tracking is not welcome in general, in case of safety and security oriented applications it has a great potential. These use cases range from work in hazardous environments to disabled operators in logistics or manufacturing and human-machine cooperation.

Solution

In the frame of this proposed experiment we intend to develop our RTLS-enabled wearable devices based on the WeSu platform. We will incorporate the platform’s kinetic sensors to enhance tracking accuracy and to provide fall detection. We will integrate customized environmental sensors (e.g. gas, temperature and radiation) to the WeSu platform so that we can provide safety wearable sensors in the chemical and pharmaceutical industry.

FED4SAE Support

We heard about FED4SAE from BME, the Hungarian advanced technology and networking partner. We have been consulting with them during the preparation of the proposal. We think that the support is a big opportunity for our company to cooperate with ST in order to extend our sensor solutions. We are looking forward to technical support from them in order to optimize our wearable product.

Impact

Human tracking will be used only for safety and security applications, for example in case of collision avoidance, panic signaling, work in hazardous environment or the support of disabled operators.
Target customers are factories, warehouses and logistics centers carrying a wide range of applications under one roof from small automated trolley carts to heavy duty forklifts. Their business model focuses on resource and time efficient and reliable manufacturing and warehousing processes. These companies can benefit from:

  • Production efficiency: precise and reliable position tracking of personnel and machines is the basis of collision avoidance that enhance human-machine cooperation on the shop floor and in warehouses
  • Safety issues:
    • human-machine coexistence
    • fall detection, panic button and other alerts based on wearable kinetic sensors
    • improved response time to emergencies
    • automated keep-out zone detection and alarm signaling for operators
    • improved control of mass site evacuation

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