Periodic Reporting for period 1 - HUMAN (HUman MANufacturing)

Summary
"The digitalized factory is a foundational pillar of the European ""Factories of the Future"" strategy to compete globally. These advances are changing manufacturing work, often requiring higher and more specific skill and knowledge levels for workers to succeed. To increase...\n\n"The digitalized factory is a foundational pillar of the European ""Factories of the Future"" strategy to compete globally. These advances are changing manufacturing work, often requiring higher and more specific skill and knowledge levels for workers to succeed. To increase the competitiveness of European manufacturing companies while at the same time creating attractive workplaces, it is necessary to create an optimal environment for HUMAN automation integration and co-operation that harnesses and leverages the workers? capabilities to increase efficiency whilst improving employee?s well-being. Consequently, the overall objective for HUMAN is to digitally enhance the operator for them to realise their potential in their workplace environment by monitoring the operators and their environment to recognise the context and discern whether an incident that has taken place is considered an anomaly/deviation. Once an anomaly is detected, HUMAN then reasons on the context associated to the problem and decides on the best intervention to address the detected anomaly and support the operator in doing their work, namely:
? Physical support. The HUMAN solution intervenes with a physical adaptation to support the operator when they experienced physical stress or tiredness. The adopted enabling technology is a light-weight exoskeleton;
? Cognitive support. The HUMAN solution intervenes with a cognitive adaptation that supports the worker in performing their task. This intervention is triggered when the operator manifests cognitive stress, tiredness, distraction or cognitive overload. The adopted enabling technology is augmented reality;
? Knowledge Sharing. Highly skilled operators have gathered their knowledge through experience over time. The HUMAN solution augments the operator with additional knowledge and provides the means for workers to share their tacit knowledge. The adopted enabling technology is social networks supported by gamification for ensuring engagement of the operators;
? Making sense of data. With the advent of IoT, one has increased the data available for analysis, which makes it a challenge to extract value. HUMAN provides process mining methods and tools for the analysis of the stream of data and events generated by the operators using HUMAN;
? Workplace Redesign. The analysis of KPIs resulting from the HUMAN monitoring and assessment, complemented by reporting from the operators, triggers cases where there is a need to redesign the workplace to optimise the production. The key technologies to use are augmented reality and virtual reality;
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"\n\nUnderstanding user context
A driving motivation has been to ensure that the project creates value, increasing potential sustainability. The main work in the first nine months entailed understanding the user context adopting design-thinking principles to support a co-design approach towards the identification of user needs and capture of user requirements. The emphasis was on the involvement of the relevant stakeholders from each end-user organization, including the key beneficiary of the HUMAN solution ? the operator. Through the process, five different services were identified to support the users:
? The exo-skeleton service for physical adaption (short-term support)
? The Knowledge in time (KIT) service for cognitive adaption (short-term support)
? The Social Knowledge Network (SKN) for knowledge sharing (long term support)
? The Work Optimzation Service (WOS) for work place redesign (long term support)
? The Shopfloor Insight Intelligence (SII) for analysing processes (long term support)
Real factory and sensing layer
An architecture for the wearable sensory apparatus has been developed, based on a literature review and partner knowledge. The sensing layer is responsible for gathering and aggregating the data from devices (sensors) deployed in the shopfloor and on the worker. Detailed system requirements have been defined, which resulted in selection of devices for HUMAN. The chosen devices were selected according to a comprehensive set of criteria. As new and alternative technological solutions emerge, these will be evaluated and considered for adoption. The work has been done in close cooperation with end users, carrying out sets of field experiments and testing in the whole period.
Digital workplace representation
To support the reasoning, the HUMAN solution has the digital workplace representation consisting of a set of interconnected models capable of mirroring different aspects of the workplace, to synthesize these models into a unique holistic representation of the working environment. The work has progressed through a redefinition of HUMAN models, clarifying models typologies and purposes and elicitation of service requirements for the models. Based on this early shared data model has been created, also investigating which signals is of interest for deviation detection and strategies for stress detection. Early datasets have been created for test and development purposes, an initial model of a short-term reasoning engine has been developed.
The HUMAN Services
The five different services identified above (Exoskeleton service, Knowledge in time, Workflor Optimzation Service, Social Knowledge Service and Shopfloor Insight Intelligence, content described above) have been developed and tested in close collaboration with the end-user organizations. At the end of the first period first version of these exists, to be integrated, refined and improved in the next 18 months.\n\nProposed advances offered by HUMAN solutions will remove the barriers for:adaptability and flexibility of humans to continuously changing workplaces;alignment of new and complex tasks with human cognitive and physical skills; and synchronization of enterprise goals with human expectations. In order to achieve this impact results are communicated to the widest audience possible. The following dissemination tools have been created:
? Creation of project's website
? Social media channels
? Joint press release with cluster of H2020 related projects
? Presentations at events, partners and projects
? A total of six scientific articles
HUMAN has participated and presented in a total of 18 events, ranging from industrial events, workshops and conferences. The project has collaborated with the projects A4Blue, Factory2Fit, Inclusive and Manuwork in joint clustering activities. The creation of knowledge has been evidenced in the deliverables created, which has been yielded a total of 2 journal publications and 6 publications in peer-reviewed conferences. Existing patents by partners have been expanded upon. A new patent application is under evaluation for a major innovation in the exo-skeleton. This is the first upper limb exo-skeleton with remote assistance tuning, monitoring of body motion and connectivity. For the Knowledge in time system a system of contextual based recognition has been developed and is under evaluation for protection. In the first 18months of the project, the following business opportunity has been identified:
? One partner acquired part ownership of another, creating a direct and strong channel for exploitation of the work on the exo-skeletons
? New revenue streams for partner derived from products based on the exoskeleton research results
? Potential new company for assistive augmented reality based on the Knowledge-In-Time service involving three different partners.
More information
HUman MANufacturing
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