基於机器学习的公用事业智能行为分析平台 (ART/242CP)

基於机器学习的公用事业智能行为分析平台 (ART/242CP)

  • 基於机器学习的公用事业智能行为分析平台 (ART/242CP)
    ART/242CP
    平台
    11 / 10 / 2017 - 31 / 03 / 2019
    6,000

    吳康恆博士

    1. Platform requirement and system architecture documents 2. Smart behaviour analytics key technical document 3. Smart behaviour analytics platform system a. Cloud-based system platform (Stream processing capacity >= 1M messages / second) b. Online machine learning (stream learning algorithms and supervised learning based on utility application data) c. Anomaly detection engine (trimming of error-prone data with pattern analysis algorithms (learning module on top of SBA)) d. Real-time Monitoring and reporting (node number >= 10K) e. High-frequent data analytics devices (sample rate >= 50/second) f. Extensible API for supporting outside applications 4. Tools and modules for smart utilities applications 5. CS from Nebula Technology Ltd a. Behavior Analytics System for IoT (SBA cloud platform for outdoor sensor/devices health status monitoring and data analysis) b. Extensible API and document to support IoT devices (software module to support data analysis of different formats from multiple devices and sensors) 6. Technical report a. Data analytics and modeling report for smart water applications (e.g. WSD) b. Behavior analytics algorithm research for utilities applications (e.g. HKU) c. The target production_loss_rate will be below 20% after the new system is in place in the deployment area (e.g., the metallurgical plant area, Hengyang City, Hunan Province. Its production_loss_rate is 40% currently. The SBA platform contribution should be at least 5% in the reducing overall-target production_loss_rate (20% = 40% - 20%)).

    云熠信息科技有限公司
    株洲南方阀门股份有限公司


    在公用事业的应用领域,隨著数据存储、计算硬件和网络通信的性能提高,许多高级的数据密集型系统得以应用。这些应用程序聚集了大量的时序数据,这些时序数据可用於逐步实现在线预警、实时监控和故障快速定位。该项目旨在建立一个基於机器学习的智能行为分析平台,该平台具有用於实时处理、发现、理解和分析来自公用事业系统的设备连续行为数据。將实时智能应用到数据分析中,使用户能够容易地使用智能行为分析中的尖端技术。它提供了在线机器学习、异常检测、深度学习、实时监控和高频数据分析设备。该平台使合作伙伴能够在一个统一的高效益平台上建立、开发和商业化公用事业新產品和应用系统。