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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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.

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.

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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.