Faradai Platform brings your buildings, renewables and grid assets online with the cloud-based horizontally scalable engine behind. Column-oriented database and tailor cut analytical engine for stream processing is designed for cost-effective scale and operations — whether you have a handful of facilities or thousands of buildings and millions of connected devices. We achieved 40x reduction in disk storage, and up to 20x faster query times as compared to row-based relational databases. Faradai Platform can aggregate one billion rows under 30 seconds even on modest commodity Linux servers.
Faradai Platform’s cloud gateway can communicate seamlessly with hundreds of sensors/equipment/systems in the market. Based on proven industrial communications standards, the platform is fluent in most building management and industrial control system protocols including OPC, Modbus, Mbus, Pulse, ODBC, SNMP, IEC 62056 and has custom drivers for most building automation systems, sensors, energy analyzers, gateways, smart meters, etc. Besides data sharing in ftp and json formats, flexible plug-in connector structure enables fast integration to any external system via http post/push, ftp, SQL/NoSQL/MongoDB/Oracle database connection, OPC server, DDE and any other methods.
The data can be stored on the IoT Gateway. In addition critical analyses can be run on the gateway. This helps to take action as soon as possible by tools of the gateway such as auto-control (on/off), sending alerts to the assigned technicians. Constant and healthy data flow is provided by the Faradai IoT Gateway. Faradai IoT Gateway stands out with its zero data loss feature, which can talk with different protocols has a wide protocol network, can save data, and has GPRS and Ethernet options.
As a cloud-based as well as on-premise service, Faradai Platform fully supports robust, industry-leading cyber security protocols. The Platform's multi-layered cyber security approach employs technical, physical, and administrative safeguards. We put great importance on energy reliability and security, that is why whole IoT value chain, from sensor to gateway, is protected for your data privacy and cyber security.
In Faradai Platform, Predictive data science is not just “big data analytics” or “business intelligence” – it’s the next level of insights to be delivered by combining innovative data sources with state-of-the-art analytical methods for energy industry. Our predictive data science modules provide previously unavailable energy and operational insights combining the disciplines of statistics, engineering, operations research, computer science, and others, while utilizing the techniques of data mining, machine learning, and mathematical optimization.
Managing and tracking health of the monitored devices also a critical task to get the data continuously and healthy. Faradai Platform has tools to track the edge devices.
Using the existing infrastructure of Faradai Platform, you can built powerful industrial and commercial energy IoT applications. You can add the power of Our Platform’s engine to your own app or service. Whether you’re a hardware vendor, system integrator, service provider, or individual developer, with Faradai Energy Intelligence Platform API you can build tools that take advantage of the millions of data points processed by the platform every second.
Unlike simple dashboard modules that just draw simple charts or display summaries, our smart modules can generate complex visualizations and reports with minimal configuration. They were also designed to be used as reporting tools, removing the need for separate and often complex reporting screens. Faradai Platform can automatically generate scheduled reports from a single dashboard for hundreds of users filtered by the locations each user has access to and deliver the individual reports to the mailboxes.
Our Rule Engine allows even non-developers to define sophisticated alarm and remote-control scenarios involving many variables. The alarm and rule structure are extremely flexible, different rules can be easily combined, depending on the result of one rule, another rule can be triggered. In this way, it allows almost infinite number of rule scenarios and alarm setups to be designed. Rule Engine enables platform users to create various rule scenarios, to calculate baselines for comparison, to be informed when any abnormality detected, to automatically control and change the device set points, and to get summary reports related to the energy performance in the facility.