Industrial Internet of Things (IIoT) & Internet of Everything (IoE)

A buzz word until you don’t implement!

Overview

IIOT is a disruptive innovation in industrial arena and transforming manufacturing conventions. It works with factual data and logics to produce tangible outcomes in productivity, process and people management. It has no room for assumptions and human/manual errors as it does machine to machine communication(M2M) in real time. Real challenge is how to analyze and channelize big data for cognitive tasks and resource efficiency.

Machinery Intellectualization

Rigorous start

It should start with defining data outcomes from each and every assets with cognitive conditions, scenario to scenario and task to task. Then it requires machinery smartification (enhancement) which can be achieved by adding sensors and custom embedded chips to produce data. One point to be noted here — cost of sensors are very low as compared to stopping production or postponing adding sensors to machines. Process of smart implementation is fundamentally complex, but not impossible. There are various ways of doing maintenance and switching production in general.

By 2020, IT will grow 285% from 2015

Capturing and Communicating Data

Capturing

Automated data capturing in real time create visibility to understand production, process, risk, asset conditions and so forth. It also means that it reduces turnaround time, human efforts and assumption from manual/digitally filled data-sheet by human. Machine captures massive amount of data so it’s very important that we learn losing unnecessary data, grouping & categorizing of useful data and also have appropriate mechanism to capture meaningful data touch points. Forward data which is useful and help making decision faster.

Communication

Machine to machine communication (M2M) is so obvious benefit for cognitive automation and machine learning. Machine learning help you to understand patterns, errors, failures and capacity. This is the time where we need software to store, analyze and collaborate data.

Predictive Analytics

Combination of static data touch points and real time produced data becomes just “Big Data”. Smart and meaningful software can early predict impact, cause, consciences, safeguards and value proportionated recommendations. That’s changes analysis approach altogether from reactive to proactive and so forth by some minimum crosschecking and customization allows enterprise to take powerful call for upcoming cause. This makes enterprise super efficient and accurate to lead at profitability.

Human Empowerment

Knowing solution is just half way until it’s not implemented. Implementation is the most difficult part where human has to perform various tasks, and it is all about calculation of availability, ability, estimation and overall accountability. It is entry point to have “Internet of Everything (IoE)” where people, process, data and things are collaborating together. Not just to plan efficient operations, but to empowering human on the field for necessity helps in various medium/multimedia with operational history to futuristic advancement advices.

Security Challenges

It has two big changes where one is IT infrastructure & data-bank and second is physical assets/machinery & their controlling systems. In industries majority machines have been installed 10/20/30 years back so all security standards are not as advance as needed, but on other hand with new machineries are also not 100% safe from hacking attack. We can try our best to get protected from attack and to do so we have to continuously detect and set protocols for predictive threats.

Solution could be...

Start with long term vision even if you are no where near beginning and breakdown into achievable milestones. It allows you to think of maximum number of possibilities and create complete robotic/automated solution.

  1. Aim for building fewer but smarter interfaces that requires minimal or no human intervention.
  2. Present the most effective and opportunist data with minimalistic navigation system.
  3. Drive with notification, provide the best possible solution with further actionable items, to make it proactive, suggestive and reliable.
  4. Defining strong scenario/use-case to deal with current and futuristic technology/devices.
  5. Make it valuable and beneficial for user, organization, environment, government and safer even for those people who are not part of the business.

Samples:

Home Page: Start simple with priority. Empower user by providing data as per schedules. Think of intelligent & collaborative solution.
Make primary navigation to the point and the way human thinks.
FOCUSED HOME PAGE (Try to make it no brainer)
Detail Page: One hero action with all the needful details to help decision making, customization or quick/obvious verification.
Detail Page
Secondary Navigation: Make it scalable and guileful from user patterns and history.
Secondary Navigation
BE LIKE A WATER MY FRIEND! — Bruce Lee