Architecture

Architecture for Optimization

1. PHYSICAL SYSTEMS INTELLIGENCE

The calculated sensors we provide combine attributes and digital signal processing signals to model to predict failure and operational modes. Calculated sensors greatly increase the amount of information that can be gleamed from an asset’s sensor data. Written in Python and R, they give your experts complete flexibility.

2. ANALYTICS FOR DATA SCIENTISTS

Our analytics component allows data scientists to input their own classifiers and run them in real time, evaluating the digital signal processing features that identify states impacting physical equipment. Our native classifier library defines typical events impacting specific asset types. Data Scientists can add new classifiers written in Python or R to the library and deploy these classifiers across the entire enterprise.

3. ANALYTICS FOR ENGINEERS

Our Engineering Analytics provides engineers with an intuitive modeling environment to track operation modes within the sensors of any given asset. Our unique and interactive machine-learning cycle embeds high-level knowledge to make machine learning highly effective in a high-resolution, multi-sensor environment.

4. ESCALATION PLAYBOOK

A serious knowledge transfer issue exists in the Oil & Gas industry as a large number of experienced operators will retire in the next five years. OspreyData is bridging this gap by allowing experienced operators to embed knowledge and automate key decision processes regarding the operation of complex machines.

OspreyData is designed to work with traditional monitoring systems, process control systems and SCADA to deliver deep and predictive insights that lead to action. Contact us to learn how we can integrate with your system.