Data Visualization

The Industrial Internet of Things (IIoT), also known as Industry 4.0, is a response to two core challenges: equipment downtime and industrial worker productivity. IIoT represents operational plant control technology securely networked together with information technology, sensors and machines to aggregate real time and time-series data. Big data analytics can provide actionable insights that improve manufacturing and process efficiency and predict high risk of downtime before it occurs, enabling preventative maintenance.

Cisco estimates that the impact of IIoT due to improved employee productivity alone is $2.5 trillion (NPV of net profit impact) worldwide over the period 2013-2022. Much of this is based on the vision of industrial workers using mobile devices to access data and analytics out in the plant or in the field, right where their work is to be done, rather than back in the central control room. However in order to realize this potential several challenges must be overcome.

Industrial workers often need to see IIoT data when they are operating, inspecting or maintaining equipment,

and their hands are occupied. Smart phones and tablets require the use of both hands

Existing smart glasses have a limited display resolution, so cannot display much
information at once

IIoT data for complex plant or equipment is often stored hierarchically, as there
may be thousands of individual data streams available. Navigating such data
can be unwieldy on mobile devices.

Oil and gas, chemical and mining industries require intrinsically safe devices
certified to be incapable of causing sparks or fires