Securely ingests and organizes sensor data from many sources and powers our predictive analytics technology
Scalable and Fault Tolerant
Petasense Cloud, powered by Microsoft Azure, has been designed from ground up for high availability and fault tolerance. It is a flexible and scalable cloud-computing platform with enterprise-grade security. Petasense Cloud incorporates modern big data technologies to ingest and organize petabytes of sensor data from industrial machines and processes.
Machine Learning Algorithms
Two of the biggest limitations for today’s predictive maintenance programs are that they are manual and require highly skilled vibration analysts. Expertise in this field is becoming increasingly hard to find, retain and train. Petasense Cloud incorporates machine learning algorithms to help automate the vibration analysis process. These algorithms set specific baselines and alarm limits to each machine and derive real time machine health scores based on deviations from the baseline. For organizations with trained analysts and established programs, our machine learning software acts as a first line of defense in monitoring machines at the fleet level.
RESTful Web APIs
Petasense Cloud supports RESTFUL Web APIs to enable storing and retrieving of sensor data. The APIs have secure authentication to ensure that only authorized users or programs can access and update the data.
Traffic from the Petasense Mote to the cloud is secure and encrypted. From a security perspective, Petasense Motes connect to the cloud rather than vice-versa. The connection to the Petasense Cloud is over a TCP connection with TLS.
Historian and EAM Integration
Petasense Cloud integrates with leading Data Historians, like OSIsoft PI or eDNA, and EAM software from leading vendors like Maximo, SAP or Oracle. Trend vibration data alongside other process data, like pressure, temperature and current, to get insights into overall machine and process health.
Public or Private Cloud
Petasense Cloud currently operates on the public cloud infrastructure of Microsoft Azure. Private Cloud support is available by request.