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You may not be sure why your coffee pot should talk to your toaster, but precision technology powering an Internet of Things has the potential to reshape the planet. To help clarify, Timothy Chou has created Precision to introduce us to the basics of the Internet of Things (IoT) for the enterprise. This paperback version includes principles, practices and solutions.
The first part – Precision: Principles and Practices – introduces a vendor-neutral, acronym-free framework. Dr. Chou then discusses the framework’s fundamental principles and these principles put into practice.
The second part – Precision: Solutions – puts Dr. Chou’s IoT framework into practice highlighting 14 real world solutions for manufacturers who are building precision machines and companies utilizing these machines to receive precision enhanced business outcomes. Case studies discussed span a number of industries such as power, water, healthcare, transportation, oil & gas, construction, agriculture, gene sequencers and mining.
More books in the Precision series are in process. Stay tuned.
Part 1: Principles and Practices
|Introduction||There is a lot of hype around IOT. In this chapter we introduce a vendor-neutral, acronym-free framework consisting of five major components: Things, Connect, Collect, Learn, and Do. We’ll use the word Things, enterprise things and machines interchangeably.|
|IOT Framework||Whether you’re building, buying, selling or investing in technology to enable enterprise IoT applications, this chapter describes an IOT framework you can use to understand the various components or parts of the industry|
|Thing Principals||As a manufacturer of any modern machine, it’s now possible to put a lot of sensors to work. Even the cell phone in your hand can have 14 different sensors. Precision machines will also be software enabled, which requires you to make decisions about the computer architecture and the software environment, all of this will need to fit into packages which have cost and environmental constraints. And finally in the modern world you’ll need to think about security.|
|Things in Practice||This chapter shows cases of next generation Things in a variety of industries: consumer, construction, telecommunications, power, oil and gas, healthcare, biotech, transportation, agriculture, and manufacturing.|
|Connect Principles||Connecting things requires a diverse set of technologies based on the amount of data that needs to be transmitted, how far it needs to go, and how much power you have. Furthermore you have many choices at a higher level on how to manage the connection, as well as how the connection is protection and secured. In this chapter we’ll give you a brief tutorial on networking and some of the fundamental principles.|
|Connect in Practice||This chapter shows cases of the multiple ways Things can be connected across a variety of industries: consumer, construction, telecommunications, power, oil and gas, healthcare, biotech, transportation, agriculture, and manufacturing.|
|Collect Principles||Things aren’t people. One of the ways that’s true is the volume of data that can be generated by things will be orders of magnitude larger that applications of the Internet of People. In this chapter we’ll cover some fundamental ways Thing data might be collected and stored. This includes in-memory databases, noSQL, and time-series collection architectures.|
|Collect in Practice||This chapter shows cases of the multiple ways in which data can be collected across a variety of industries: consumer, construction, telecommunications, power, oil and gas, healthcare, biotech, transportation, agriculture, and manufacturing.|
|Learn Principles||In the last generation of enterprise software we first focused on transaction processing and workflow applications and then used BI and OLAP applications to learn from the data. This time let’s use technology to learn from data; we’ll cover visualization, statistics, regression, and machine learning.|
|Learn in Practice||In the last generation of enterprise software we first focused on transaction processing and workflow applications and then used BI and OLAP applications to learn from the data. This time let’s use technology to learn from data; we’ll cover visualization, statistics, regression, and machine learning.|
|Do Principles||Outcomes. What are the outcomes? What does all of this technology to connect, collect and learn do? In this chapter we’ll discuss three major business benefits to the producers of modern machines, and three major benefits to the consumers.|
|Do in Practice||We’ll cover cases across a variety of industries: consumer, construction, telecommunications, power, oil and gas, healthcare, biotech, transportation, agriculture, and manufacturing..|
|Summary||This chapter will wrap up the introduction and discuss how these technologies can transform businesses..|
Part 2: Solutions
|Introduction - Solutions||The first Cloudbook described the fundamental technologies required to build Internet of Things (IoT) applications. This Cloudbook takes the point of view of the manufacturer of precision machines and the services that use those machines to provide precision services. It is organized as a series of cases designed to be read by technologists and business people.|
|Precision Mailing||This case story will focus on Pitney Bowes' CIO Roger Pilc and his team’s work in enterprise business solutions, which offers equipment and services to enable large enterprises to create large-scale mailings including bills and statements.|
|Precision Trains||This case story introduces Greg Hrebek, the director of engineering at New York Air Brake (NYAB) and how NYAB has been increasingly using information from Things to improve operational efficiency.|
|Precision Mining||This case story describes how Joy Global, a leading producer of mining systems, equipment, parts and services for underground and surface mining of coal, copper, iron ore, oil sands, gold and other mineral resources, deploys IOT. This chapter focuses on Joy Global’s longwall systems, used in coal mining.|
|Precision Gene Sequencers||This case story describes how the market leader in gene sequencers Illumina utilizes IOT, with a focus on the Illumina MiniSeq DNA sequencing system.|
|Precision Agriculture Machines||This case story introduces Paul Blackmore, who has worked for AGCO for more than twenty years, and how the AGCO Corporation -- a multi-billion-dollar manufacturer of agricultural equipment -- utilizes IOT, with a focus on the Gleaner-brand combine.|
|Precision Buildings||This case story introduces Leroy Walden, Vice President of McKenney’s Inc. a mechanical contractor in the Southeast that offers a full range of services, including heating, ventilating and air conditioning (HVAC), process piping, plumbing, service and maintenance, and building automation and control systems, and how McKenney’s joined Gulf Power and Chevron Energy Solutions to implement a new energy management system at Eglin Air Force Base (Eglin).|
|Precision Construction||This case study introduces how a major construction equipment rental company, which offers thousands of classes of equipment to construction and industrial companies, manufacturers, utilities, municipalities, and even homeowners, deploys IOT with a focus on the SAE J1939 -- the business standard in the world of heavy equipment for communication and diagnostics among vehicle components.|
|Precision Healthcare||This case story discuses how the UC Irvine medical center under the leadership of Charles Boicey an informatics solution architect has piloted a new technology to frequently monitor and transmit patient vital signs.|
|Precision Oil and Gas||This case story focuses on the use of IOT on Oil and gas production platforms.|
|Precision Power||This case story discusses the use of a particular kind of Thing in the power industry by Duke Energy — a phasor measurement unit (PMU) — which is a device that measures the electrical waves on an electricity grid using a common time source for synchronization.|
|Precision Farming||This case story with Nick August at August Farms located in the Cotswolds area of England illustrates the complexity of using multiple machines from multiple generations of technology and multiple sensors to enable the delivery of precision farming products.|
|Precision Water||This case story follows Adam Setzler at McCrometer which designs, builds and sells robust and reliable mechanical flow meters. Here we’ll discuss a couple of sensors that McCrometer sells, including water-flow meters, weather stations and soil-moisture meters.|
|Precision Cooling Tower||This case story describes how standard cooling towers, which typically use toxic chemicals to treat the water used to facilitate cooling, present two fundamental challenges. First, a lot of water is wasted, as the resulting contaminated water must be expensively discharged to the sewer versus being reused for instance as landscape irrigation. And, second, if there is a malfunction in the cooling tower's system, there is significant risk of a resulting bacterial outbreak that can threaten human safety. In response, this story describes how Griswold Water Systems and Autodesk worked together to deploy IoT technology to make cooling towers both more efficient in water usage, as well as safer for the public.|
|Precision Race Car||This case story follows Sam Schmidt's story. Paralyzed from the neck down after a terrible crash at the Walt Disney World Speedway, it looked like Sam's race days were finished. However, Arrow Electronics and some its partners joined Sam to build a Precision Race Car utilizing IoT technologies to put Sam back on the racetrack.|
|Summary - Solutions||This summary will discuss some of the steps available to builders of enterprise Things to begin the digital transformation of their businesses.|
Timothy Chou has been lucky enough to have a career spanning academia, successful (and not so successful) startups and large corporations. He was one of only a few people to hold the President title at Oracle. As President of Oracle On Demand he grew the cloud business from it’s very beginning. Today that business is over $2B. He wrote about the move of applications to the cloud in 2004 in his first book, “The End of Software”. Today he serves on the board of Blackbaud, a nearly $700M vertical application cloud service company.
After earning his PhD in EE at the University of Illinois he went to work for Tandem Computers, one of the original Silicon Valley startups. Had he understood stock options he would have joined earlier. He’s invested in and been a contributor to a number of other startups, some you’ve heard of like Webex, and others you’ve never heard of but were sold to companies like Cisco and Oracle. Today he is focused on several new ventures in cloud computing, machine learning and the Internet of Things.
Finally, he was lucky enough to be able to start teaching at Stanford University in 1982. He taught introductory computer architecture for fifteen years and only stopped because one day he had to fly to Bali, do a sales kickoff and fly back in 24 hours to teach class. Since leaving Oracle he returned to Stanford to create first course on cloud computing, CS309A.stanford.edu. Not only has he lectured at many major universities, but also delivered keynote speeches on all six continents.
(Excerpt from Precision: Principles, Practices and Solutions for the Internet of Things)
It is no secret that technology brings change – fast. And it has been proven that the businesses that are able to embrace the change and use it to their advantage are the ones that survive and thrive. In the industrial space we are at a moment where technology is leading business strategy. That means that leaders need to rapidly embrace and understand how technology can and should affect their business. Timothy has had a front seat working with the leaders in the industry who are mastering the realizing of value from the merger of physical and digital.
For many, this merger is uncomfortable because when you start – you don’t always know where you will end up. You might end up on a path that leads you to make a change in a business model, a change in how your organization works or a change in how you view your competition. Sometimes it can even change the definition of who you compete with. At GE, we had to make some of these tough decisions as part of our own transformation. It wasn’t easy and we didn’t do it overnight. One key lesson is that one must always be learning to be successful on a digital journey.
Until now, most industrial business has been focused on making or owning the asset; essentially, everything that goes into designing, building, operating and maintaining an asset. Business leaders could focus on making improvements to things that were familiar or comfortable. Processes could be made leaner. People could be trained in Six Sigma to gain advantage. Now, thanks to technology, everywhere you look it is about how to get the best outcome from that asset. Those same assets can be monitored and operated in entirely new ways – driving improvements like never before. Better speeds, more information, better experience and more productivity – in short, better outcomes from every asset and industrial process. Industrial data coupled with the best analytics are becoming the center of competitive advantage.
The best companies of the future will be those that are able to master the emerging world of connected machines, capture new sources of information from sensors and build deep learning capabilities, all of which helps gain insights and get the most out of physical infrastructure. We are entering a world where we have a greater level of precision to our decision making than ever before. We will drive new levels of productivity that will become the driving force for the world’s economy.
Figuring out how to best capitalize on the Industrial Internet can be daunting and confusing. Here in Precision, Dr. Chou is helping to demystify the processes behind getting better outcomes from assets of any kind – machines, real estate, people, factories, etc.; from the initial setup of an organization’s IOT framework to defining the principles behind the operations and on to examples and best practices. With a proven case study approach, Timothy has gathered the right examples to help leaders grasp what they need to do and how to do it.
This book is approachable by any business or technical leader. It not only describes the promise, but more importantly makes the process of shifting your thinking and building your own strategy and plan easy to understand.
In the future every business will be a digital business. William Gibson’s quote “The future is here – it’s just not evenly distributed” is very apropos to the current state of affairs. It is important for businesses to begin their journey to being digital. This book provides both the crystal ball into the future as well as a roadmap to get started.
CEO, GE Digital and Chief Digital Officer, GE
April 2016, San Ramon, CA