SanChip is thrilled to participate in the EVOCATION project as part of the BI-REX consortium, contributing its advanced solutions for real-time lubricant monitoring. With our cutting-edge oil analysis sensors, SanChip plays a key role in collecting crucial data for predictive maintenance and smart manufacturing.
Our real-time sensors are designed to deliver precise and immediate analyses of oil conditions in industrial machinery, providing essential insights into equipment health and performance. Thanks to our proprietary technology, SanChip ensures accurate measurements, meeting the needs of every project partner.
In addition to providing innovative sensors, SanChip supports academic and industrial partners with initial raw data processing, simplifying information interpretation. This collaborative approach enables the development of advanced AI-based analytical methods, accelerating progress in predictive maintenance.
With our dedication and expertise, SanChip is proud to help revolutionize monitoring and efficiency in industrial operations.
The project’s mission is to expand current monitoring capabilities for industrial machinery, unlocking new scenarios in how manufacturing companies address maintenance and quality.
The EVOCATION project is funded by the European Union – Next Generation EU.
The EVOCATION Project
EVOCATION, a joint initiative promoted by BI-REX Consortium, focuses on leveraging cutting-edge technology to provide smarter and more detailed machinery monitoring. By integrating new smart sensors and advanced computational capabilities powered by AI, we aim to predict and prevent even rare failures.
Innovative Sensors and Collaborative Excellence
EVOCATION aims to introduce a cost-effective way to monitor diagnostic parameters and load conditions of machinery, by leveraging smart sensors and advanced data analytics.
In collaboration with four manufacturing industries and five more technical service providers we’re creating a synergy of hardware and software excellence to step up remote monitoring and smart maintenance for industrial machinery and plants.
Overcoming Complexities
Monitoring specialized machinery presents unique challenges. Some critical physical quantities are notoriously difficult to measure while machines are operating. Deformations, loading, and lubricant conditions serve as close predictors of failures, but obtaining precise near real-time data might require costly sensors, and in some cases no sensors are currently available at all.
Additionally, specific failure incidents occur rarely, making data scarce. Reproducing these incidents in controlled environments involves expensive processes. Furthermore, real-life systems defy complete top-down mathematical descriptions. Unpredictability is inherent, necessitating adaptive approaches for maintenance planning and repairs.
The Synergy of Hardware and Software
EVOCATION’s solution lies in the synergy of hardware and software. Advanced AI-driven real-time calculations complement direct measurements from innovative smart sensors.
Implementing our vision involves addressing several critical challenges. Smart sensors require a digital interface and embedded computational capabilities. Data needs to be collected stored and managed on an adequate software architecture. Data analytics, customized for specific indicators, must be meticulously constructed and optimized for each use case.
Artificial Intelligence is used to fill gaps where traditional top-down models fall short, providing fine-grained data predictions in a digital twin kind of approach. Hybrid methods, including Physics Informed Machine Learning, enhance AI’s capabilities. By combining black-box AI with the interpretability of mathematical modeling, we aim to create a comprehensive set of measurements. These measurements empower accurate predictions related to maintenance planning and machinery life expectancy.
A Vision for the Future
In the scenario envisioned by EVOCATION, the entire plant can be monitored with renewed detail, and decisions can be simulated using what-if scenarios, enabling proactive adjustments and informed choices.
Partners
EVOCATION’s greatest strength lies in the specialized competencies, domain knowledge, and extensive experience of our partner members.
Manufacturing partners, global leaders in their respective fields, provide tangible examples for solution development and real-life testing:
- Bonfiglioli: A leading producer of gear motors, drive systems, planetary gearboxes, inverters, and electric motors across Industrial, Automation, Mobile Machinery, and Wind Energy sectors.
- Poggipolini: Innovators in weight reduction, critical components, and structural fastening systems for Aerospace, Automotive, and Motorsports sectors.
- SACMI: Manufacturers of machinery and plants for Ceramics, Plastics, Food & Beverage, Metals, Packaging, and Advanced Materials sectors.
- Velan ABV: Experts in industrial steel valves for applications such as Power Generation, Chemicals, and Cryogenics services.
Technical partners, driven by innovation, contribute to designing advanced components and interactions for our envisioned solutions:
- E.S.T.E.: Specializing in hardware, firmware, and software design, including complex signal management. E.S.T.E. will contribute to the development of a smart sensor.
- Sanchip: Focused on predictive maintenance through advanced IoT devices for plants and machinery. Sanchip will contribute to the development of a smart sensor.
- Sens-In: A Poggipolini spin-off, specializing in smart fastening elements. Sens-In will provide hardware, setup, and data interpretation support.
- BitBang: A Data & AI consultancy with a tailored approach, specializing in Big Data, Data Analytics, and Data Science. BitBang will take care of the software architecture and data management.
- Selcom Group: Experts in customized electronic and electromechanical equipment and systems. Selcom Group will contribute to the development of a smart sensor.
- ISE: Providing maintenance and predictive maintenance services. ISE will contribute to the development of smart sensors, and to the acquisition and first analysis of raw data.
Academic partners contribute essential research, forming the bedrock of our project’s decisions:
- CIRI ICT: The University of Bologna’s Interdepartmental Industrial Research Center, focused digion ICT technologies. CIRI ICT will focus on developing AI-based and hybrid data analytics methods.
MechLav Laboratory: The Industrial Research Laboratory of Ferrara’s Technopole. MechLav Laboratory will focus on optimizing data extraction and interpretation from sensors.