工業物聯網實時大數據分析平台 (ART/228CP)

工業物聯網實時大數據分析平台 (ART/228CP)

  • 工業物聯網實時大數據分析平台 (ART/228CP)
    ART/228CP
    平台
    16 / 05 / 2017 - 15 / 05 / 2018
    6,400

    余濤博士

    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)

    新科實業有限公司


    隨著物聯網在製造業中的飛速發展,實時海量工業大數據得以大量湧現。為了更加方便快捷地分析此類實時海量數據,本項目的目標定位于建立一個端到端的實時工業大數據分析平台,同時提供多種用於分析的數據挖掘和機器學習算法以更好的支持工業製造系統中的實時監控,問題檢測等。 該平台能夠對不同維度,不同頻次,不同量級的數據進行分門別類的處理和分析並以友好易用的方式進行可視化。該套解決方案能夠更好的促進工業大數據的發展,為工業物聯網的全面實現奠定基石。