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%)).
雲熠信息科技有限公司
株洲南方閥門股份有限公司
在公用事业的应用领域，隨著數據存儲、計算硬件和網絡通信的性能提高，許多高級的數據密集型系統得以應用。這些應用程序聚集了大量的时序數據，這些时序數據可用於逐步实现在线预警、实时监控和故障快速定位。該項目旨在建立一個基於機器學習的智能行為分析平台，該平台具有用於實時處理、發現、理解和分析來自公用事业系統的设备連續行為數據。將實時智能應用到數據分析中，使用戶能夠容易地使用智能行为分析中的尖端技術。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。該平台使合作夥伴能夠在一個統一的高效益平台上建立、開發和商業化公用事业新產品和應用系統。