IBM Watson IoT Platform: Thinking about the Internet of Things with a cognitive learning "brain"
As a giant in information technology and solutions, IBM announced the establishment of IBM Watson IoT in the Internet of Things business in 2015 and said it will invest $3 billion in this area in the next four years. In order to explore how IBM can help Chinese companies in various industries build IoT solutions and achieve product and service innovation, "Smart Product Circle" interviewed Xie Tao, senior technical sales manager of IBM Watson IoT Greater China, to explore the platform of Watson IoT Platform. Capabilities, as well as the value of new services that data analytics and cognitive capabilities bring to the Internet of Things.
l High service value: IBM's IoT solution case abroad
IBM Watson IoT has been widely used in different industries such as healthcare, smart cities, energy/electricity, automotive, electronics, etc., and there are proven success stories in these areas. We selected two cases to see how the analysis of IoT data can support high-value services.
Smart city in Nairobi, Africa: Nairobi is one of the fastest growing cities in the world, and it has also led to increasing pressure on the system and infrastructure. Experts estimate that Nairobi’s daily losses due to traffic jams, fuel consumption, traffic accidents, air quality and many other problems are as high as $1 million. The city needs effective fleet management, traffic assessment and road maintenance without the implementation of costly monitoring techniques. IBM Africa Research Lab leverages its IoT solutions (including StreetSense, IBM IoTPlatform, IBM Cloudant, IBM Bluemix, etc.) to feed back data (traffic dynamics, road conditions, and driver behavior data) on smartphones installed on vehicles Etc.) Analyze and create digital maps of road conditions, driver behavior and traffic flow, alleviating traffic congestion and improving road safety.
US Pratt & Whitney Engine Alert: IBM leverages Watson IoT data analysis and optimization capabilities to help US Pratt & Whitney Engines implement predictive maintenance technology to prevent aircraft downtime due to engine failure. IBM's PMQ (PredicTIve Maintenance and Quality) big data analytics forecasting solution is based on real-time analysis of device performance and usage, reducing unplanned costs and extending equipment life, improving product quality and revenue. Previously, Pratt & Whitney Engines was able to collect a large amount of data about its engine operation, but lacked the ability to integrate and analyze data, and could not predict the potential hazards of its engines in advance. Through PMQ's predictive model and data integration module, IBM conducts 360-degree health and risk analysis of engine operating conditions and other data, and timely reports these results to HP. 97% of the airborne early warning accuracy can effectively avoid Aircraft accidents caused by engine failures ensure flight safety.
Easily avoid millions of dollars in losses, up to 97% of early warning accuracy... With such powerful data analysis and computing power, how can IBM Watson IoT be implemented with a holistic layout and specific technical tools?
l Four-tier business layout: building IBM Watson IoT cognitive Internet of Things
Through the introduction of Xie Tao, IBM's entire IoT layout far exceeds the concept of the platform, covering the sensing and connection of software and hardware, data analysis services, and solutions. It can start from the source and close the service of the product. . These four services include Device & Network, Platform (Watson IoT Platform), Application Layer (ApplicaTIon), and Industry Solution Layer (SoluTIon).
Figure: IBM Watson IoT four-tier business layout
At the device connection layer, IBM jointly built sensors, processors, transmission chips, and IP technology vendors, including ARM, TI, and NI. IBM and ARM can quickly connect all the built-in mBed OS devices to the Watson IoT Platform in the IBM cloud.
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