工业物联网实时大数据分析平台 (ART/228CP)

工业物联网实时大数据分析平台 (ART/228CP)

  • 工业物联网实时大数据分析平台 (ART/228CP)
    ART/228CP
    平台
    16 / 05 / 2017 - 15 / 05 / 2018
    6,400

    余涛博士

    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)

    新科实业有限公司


    隨著物联网在製造业中的飞速发展,实时海量工业大数据得以大量涌现。为了更加方便快捷地分析此类实时海量数据,本项目的目標定位于建立一个端到端的实时工业大数据分析平台,同时提供多种用於分析的数据挖掘和机器学习算法以更好的支持工业製造系统中的实时监控,问题检测等。 该平台能够对不同维度,不同频次,不同量级的数据进行分门別类的处理和分析並以友好易用的方式进行可视化。该套解决方案能够更好的促进工业大数据的发展,为工业物联网的全面实现奠定基石。