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An intelligent data processing platform for smart manufacturing- an AIoT platform
Participants
Summary
The recent rapid development in new era of ‘Internet of things (IoT) plus artificial intelligence (AI)’, particularly the fusion of new AI technologies with new-generation sensor technologies, can enable the game-changing transformation of models, manufacturing approaches and its ecosystems in terms of their applications in smart manufacturing, farming, and health industry. Key challenges relate to performance, scalability, energy efficiency, cyber resilience and financial cost of deployment and subsequent monitoring and management. Designing such systems can provide for more efficient decision making that has a direct positive impact on business efficiency and customer satisfaction. Rolling such an approach across a range of industries can generate a significant impact on the productivity of the organisation, national economy, people’s livelihoods and potentially national security. The AIoT platform is thus the key technology to perform fundamental tasks to enable AI in the intelligent manufacturing industry. However, the development of AIoT applications is hard to popularize as it requires skills with specific background in both AI and IoT which may not be available in small and medium-sized companies. They have to invest extra labour costs to develop the skills set to build up an AIoT system to enhance their productivity. A highly integrated data decentralized AIoT platform is proposed to overcome the various challenges: with advantages of data fusion algorithms, sensor technology and architecture models, the new platform can offer improved efficiency of AIoT application development, flexibility, and adaptability in the intelligent manufacturing industry.