IoT Burger™ is a fog / edge computing technology for smart sensors and complex industrial IoT devices. The technology is based on the hardware and software core, ready-to-use universal functional modules library, set of standards for new IoT devices development.
Distinctive features of IoT Burger™
- Built-in signal processing analytics with maximum data processing in a device
- The ability to create devices with foggy calculations with extremely low power consumption
- In most applications programming is not required, flexible settings system
- Use of inexpensive but reliable components for industrial application
- Measurement and processing of "fast" processes, which can not be realized using cloud technologies
- The ability to deliver ready-made reports to user and interact with cloud platforms for long-term data storage and extended analytics
- Built-in system for ensuring data reliability (self-diagnosis, authorization, impact control)
Any device built on IoT Burger™ includes several measuring channels with pre-installed analytical processing and a controlled measurement accuracy.
Data can be transferred to a telematics server, to popular IoT platforms, SMS, E-mail, social network. 2G and 3G technologies are currently used for data transfer. Transmitted reports contain an instant and average values of parameters, also counters and events. Flexible report system allows user to choose the optimal ratio of data completeness to traffic.
Devices created with IoT Burger can be combined into a wired or wireless network.
Fog / edge computing of IoT Burger™ is implemented and tested in fuel flow meters, capacitive level sensors, telematics trackers, automotive j1939 I/O modules.
As for today, more than 10,000 devices with IoT Burger technology have been manufactured.
How does fog / edge computing works?
IoT devices and sensors generate a huge amount of data every day. Sensors themselves were developed as simple electronic devices without the possibility and resources for analytical calculations or tasks for determining events (emergency, interference, etc.). All what sensors could do was just to produce RAW data and to send them to a Cloud.
Yes, Clouds`ve got a computing power and the ability to solve calculating tasks. But Clouds is a technology of remote processing and as the number of sensors grows, the delay between the time of data sending and the time of receiving processed results by user increases. Shortly, time lag inevitable and it doesn`t contribute to progress.
In the architecture of fog computing, data processing takes place in a device itself, along with the receipt of data.
It is important that using of fog / edge computing does not replace complitely cloud platforms. Fog computing devices analyze and provide data in motion. While cloud computing is designed to process and analyze data over a long period of time.
Thus, fog / edge computing is a paradigm for the further development of IoT.
Practical implementation of the IoT Burger technology in smart sensors also offer manufacturing tools for calibration, accuracy check, interfaces and electronic modules testing. Specialized software package has also been developed for manufacturing purpose and quality control.
The complex of technological hardware and software can effectively help in serial manufacturing launch of highly reliable intelligent devices.