{"repo":"aws-samples/flink-industrial-anomaly-detector","free":true,"listed":false,"github":"https://github.com/aws-samples/flink-industrial-anomaly-detector","clone":"git clone https://github.com/aws-samples/flink-industrial-anomaly-detector.git","description":null,"language":"Java","stars":20,"topics":["analytics","streaming","aws","manufacturing","iot"],"license":"MIT-0","category":"analytics","readme_excerpt":"Flink anomaly detectors for industrial use cases ================================================ (1-6) refers to steps in Fig. 1 As a starting point for a realistic and data intensive measurement source we use an already existing (Tennessee Eastman Process - TEP) simulation framework written in C++ originally created from NIST and published as open source on GitHub [https://github.com/rcandell/tesim]. Our Blog repository on GitHub contains a small patch, which adds AWS connectivity with the SDKs and modifications to the command line arguments. The programs used here provided by this framework are (1) a simulation process starter with configurable starting conditions and timestep configs and (2) a real-time client which connects to the simulation and sends the simulation output data to the AWS cloud. TEP background A paper by Downs & Vogel from 1991 describes it this way: - “This chemical standard process consists of a reactor/separator/recycle arrangement involving two simultaneous gas-liquid exothermic reactions.” - “The process produces two liquid products from four reactants. Also present are an inert and a byproduct making a total of eight components. Two additional byproduct reactions also occur. The process has 12 valves available for manipulation and 41 measurements available for monitoring or control.“ The simulation framework used allows to control all of the 12 valve settings and produces 41 measurement variables with varying sampling frequency. Data ingestion Thos","default_branch":null,"files":null,"tree":[],"storefront":"/r/aws-samples","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aws-samples/flink-industrial-anomaly-detector/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}