Amazon delivers AWS IoT development platform
By Bill Lydon, Editor
Internet of Things (IoT) developments are gaining momentum as illustrated by a new offering from Amazon. In October 2015, Amazon Web Services, Inc. (AWS) introduced AWS IoT along with an ecosystem of partners. The AWS IoT is service-oriented platform that leverages a plug-n-play Internet and cloud infrastructure to monitor and control devices while using big data to optimize. AWS allows users to begin their IoT journeys without making a capital investment and incur associated ongoing lifecycle investment costs. The AWS IoT infrastructure easily scales to support a high volume of simultaneous connections between cloud services, mobile apps, and an array of devices which may connect only intermittently and have limited compute, storage, or battery life. Developments like this are part of the shift in technology that is likely to change industrial automation systems by adding more value at lower cost.
Edge to Cloud
AWS IoT provides secure, bi-directional communication between Internet-connected things (such as sensors, actuators, embedded devices, or smart appliances) and the AWS cloud. This enables the collection of data from multiple devices for storage and analysis for a wide range of functions including alarm monitoring, historic data logging, control, optimization, and predictive maintenance. Applications also can enable users to control these devices from phones or tablets. The outcomes of cloud logic, analytics, and decision analysis are securely communicated to command real-time control for edge devices. The architecture builds on industry standards for communications including HTTP and Message Queue Telemetry Transport (MQTT), an industry-standard, lightweight communication protocol designed for sensors and mobile devices, making them interoperable independent of protocols. AWS IoT customers is a pay-as-you-go service and scales to connect any number of disparate devices. Devices can securely interact with each other, cloud services, and applications while keeping them up-to-date, and collecting, analyzing, and taking action on the continuous streams of data they generate. The overall architecture is illustrated at: https://aws.amazon.com/iot/how-it-works/
Video: Introducing AWS IoT
AWS IoT provides mutual authentication so that data is never exchanged between devices and AWS IoT without proven identity, and encrypts all data coming into and out of connected devices. AWS IoT is fully integrated with AWS Identity and Access Management (IAM), making it easy to set granular permissions for individual devices, or fleets of devices, and manage them throughout the lifecycle of the device. Users can generate and embed security credentials in their existing connected devices, or AWS IoT can generate new ones when devices are first activated.
The AWS IoT Rules Engine makes it possible to build IoT applications that gather, process, analyze and act on data generated by connected devices at global scale without having to manage any infrastructure. The Rules Engine evaluates inbound messages published into AWS IoT and transforms and delivers them to another device or a cloud service, based on business rules you define. A rule can apply to data from one or many devices, and it can take one or many actions in parallel. Rules can be authored to behave differently depending upon the content of the message. For example, if a temperature reading exceeds a certain threshold it could trigger a rule to transmit data to adjust a setpoint. Rules can also be authored to take into account other data in the cloud, such as data from other devices. For example, you could say take an action if this temperature is more than 15% higher than the average of 5 other devices and send alarm messages to appropriate personnel. The Rules Engine provides a wide range of available functions that can be used to transform data and trigger the execution of other functions.
Amazon Machine Learning
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide users through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Amazon Machine Learning is based on the same proven, highly scalable, ML technology used for years by Amazon’s internal data scientist community. The service uses powerful algorithms to create ML models by finding patterns in your existing data. Then, Amazon Machine Learning uses these models to process new data and generate predictions for your application. There is no upfront hardware or software investment since it is a pay as you go model.
Edge devices such as sensors, detectors, and controllers need AWS IoT gateway software to communicate securely and function with AWS IoT.
The AWS IoT Hardware Program helps AWS customers get started with their connected hardware project with bundled hardware, software that is compiled and optimized incorporating the AWS IoT SDK. AWS IoT Hardware partners offer IoT starter kits powered by AWS that include the AWS IoT SDK and hardware components that are validated and ready to connect to AWS IoT services. Current AWS Hardware Partners include Arrow, Broadcom, Intel, Marvell, Mediatek, Microchip, Qualcomm, Renasas, SeedStudio, and Texas Instruments. Available for purchase on www.amazon.com, these kits offer a wide range of microcontroller, sensor, and development boards that developers and manufacturers can use to rapidly prototype AWS IoT-enabled connected devices.
Thoughts & Observations
The IoT (Internet of Things) technologies will be deployed in a wide range of applications. Proliferation of these technologies will create low-cost sensing, communications, and software that can be leveraged for industrial automation applications to deliver more value at lower cost.
- Posted in:
- Related Portals:
- Advancing Automation using IIoT and Industry 4.0 Concepts
Why the Transition to IIoT will be an Evolution, Not a Revolution
By Jason Andersen, Stratus Technologies
The vision of an intelligent, connected automation infrastructure has the potential to dramatically...
Will B&R acquisition give ABB a boost in industrial automation?
By Alex West, IHS Markit
Early this month ABB; a supplier of robotics, process automation, and electrification components, acquired B&R...
24/7 Stable Performance as Tough Challenge in IoT Generation
The demand for small form factors for space-constrained embedded application is increasing rapidly. In response to this requirement, DFI gladly...
DFI's Factory Tour For Deaf Students from University of Tsukuba in Japan
DFI held a factory tour to introduce the manufacturing process of industrial motherboards and embedded system for the Japanese students from...
This is what’s truly essential for embedded solutions - DFI Fanless and Small Box PC
As more and more balance is required among high performance, small size, and ability to be fanless in the embedded markets, DFI is glad to...
ISA Society Goes to Washington: Building America's Engineering Vision
By Paul Gruhn, ISA Society Leader
Pat Gouhin (ISA CEO and Executive Director), Robert Lindeman (AAES Board member and former ISA Society...
Rockwell to share digital automation solutions at Offshore Technology Conference
Visitors to the Rockwell Automation booth (NRG Center, Booth 847) will also learn about the latest control and safety solutions for subsea and...
Telit partners with Freudenberg IT to support IIoT device management
The cooperation between FIT and Telit will focus on transforming the business service and offerings of manufacturers, enabling them to capitalize...
Opto 22 announces joining of The Linux Foundation
In joining The Linux Foundation, Opto 22 hopes to spearhead the adoption of open-source technology in the industrial automation and process control...
IHS Markit teams with Impact Energy and Swiss government to improve energy efficiency requirements
The goal of the project is to minimize adverse effects and make sure associated industry players are represented as the Swiss government makes...