An end-to-end real time IoT data analytics platform that collects, manages, analyzes and presents the data specially in manufacturing environment. It contains following modules: 1. Data ingestion module to receive IoT data from different places, such as RDBMS, File and etc; 2. Data storage and management module with high scalability to support rapidly increasing amount of data; 3. Programmable workflow engine to support flexible analytics flow orchestration; 4. Data access APIs to make modelled data available to customer for additional analysis; 5. Data visualization engine to display results in a form that enables both understanding and action; 6. Data analytics algorithms for industry manufacturing workflow monitoring and problem detection. 7. Integration, test and customer site deployment 8. Documentation (design, API, user manual) Contract service deliverables: 9 .a) Software for workflow monitoring and problem detection 9. b) Documentation (design, API, user manual)An end-to-end real time IoT data analytics platform that collects, manages, analyzes and presents the data specially in manufacturing environment. It contains following modules: 1. Data ingestion module to receive IoT data from different places, such as RDBMS, File and etc; 2. Data storage and management module with high scalability to support rapidly increasing amount of data; 3. Programmable workflow engine to support flexible analytics flow orchestration; 4. Data access APIs to make modelled data available to customer for additional analysis; 5. Data visualization engine to display results in a form that enables both understanding and action; 6. Data analytics algorithms for industry manufacturing workflow monitoring and problem detection. 7. Integration, test and customer site deployment 8. Documentation (design, API, user manual) Contract service deliverables: 9 .a) Software for workflow monitoring and problem detection 9. b) Documentation (design, API, user manual)
SAE Magnetics(Hong Kong) Limited
With the rapid growth of IoT in manufacturing, huge amount of data has been generated in real time. The project aims to deliver an end-to-end real time IoT data analytics platform, as well as several analytics algorithms, with focus on industry manufacturing to support industrial systems monitoring, problem detection and etc. The platform collects and delivers the right data, at the right velocity, and in the right quantities with various orchestrated analytics. The solution promotes the next generation of data-driven manufacturing to drive efficient and responsive production systems.
