I’ll speak on human communication aspect of IoT on 18th

Chris Rezendes of INEX Advisors continues to push me to create some thought capital around the issue of human communication and the Internet of Things.

He’s asked me to speak at the next  IoT Boston/New England Meetup, on June 18th, when we’ll move south to Providence (at the offices of Betaspring, 95 Chestnut Street, 3rd floor).

I’ll talk about a number of communication issues that I think will have a major impact on whether we really take full advantage of the IoT:

  • my 1st “Essential Truth,” that we must begin to ask “who else could use this data.” 
  • let’s not use the IoT as an excuse to fully-automate processes and procedures (the subject of my next blog post): instead, let’s use it as the means to fine-tuning and customizing.
  • turning monologues into dialogues: I think that’s going to be particularly vital in medicine, where the potential for two-way communication on a real-time basis between doctor and patient should empower the patient.
  • improving discussions of operations and strategy by basing them on what Chris Rezendes calls “ground truth.”
  • the need for a whole new management style that’s based on empowering every employee, every supplier, every distributor and every customer.

The later point harkens back to a long piece I wrote in 1995 for Network World (sorry, it’s no longer available online. When I get a chance I’ll add abuckyball-1-small section to this blog that will include access to my speeches and articles going back to 1990…) that I think is even more relevant today: that we need to scrap hierarchical, linear management styles and instead substitute what I call “Buckyball Management,” in which conventional organizational charts are replaced by spherical ones in which every person is an important node in the organization and there is no longer any up or down: anyone can reach out to anyone else. THAT, my friends, will be a real revolution!

Hope you can make it to The State of Rhode Island and Providence Plantations (The longest official state name is a great trivia question … ) on the 18th!

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MQTT: important Internet of Things facilitator?

Posted on 9th May 2013 in automotive, Internet of Things, M2M, manufacturing

As I mentioned at the time, part of the news when IBM announced its new heavy-duty MessageSight appliance to handle the vast quantity of real-time data sharing between sensors on the Internet of Things was that MessageSight would use the MQTT protocol to communicate the data.

MQTT, or Message Queue Telemetry Transport (whew!), is an existing protocol for sharing telemetry-style data which OASIS recently proposed as a standard for M2M data sharing. According to IBM, its primary virtues are “low power consumption, high performance and reliability (which) allow real time updates that can be acted upon immediately,” — important because of the need to reduce sensors’ drain on their batteries. Other types of pervasive devices that might use the protocol include “mobile phones, embedded systems on vehicles, or laptops and full scale computers.”

According to GigaOm, “..it’s already in use for satellite transmissions and in medical and industrial settings where low-bandwidth communications are essential. ” In addition to IBM, it’s already supported by Kaazing, Red Hat, TIBCO, and Cisco.

According to The New York Times, MQTT advocates say it could be the M2M equivalent of the Web’s HTTP protocol.  Co-inventor Andy Stanford-Clark of IBM is one of my fav IoT experimenters (you’ve got to see his TedX talk about how he’s automated his home on the Isle of Wight — and didn’t stop there, making the whole island a laboratory for the IoT!). He and co-inventor Arlen Nipper wrote the first version of MQTT in 1998 for oil platform sensors.

As in several of my recent posts, the automotive industry was singled out by the NYT as one field where MQTT might be applied:

“Vijay Sankaran, director of application development for Ford, said improved message-handling technology will be vital to the company’s plans for automated diagnostics and new consumer services.

“Mr. Sankaran pointed to two examples. In the Focus Electric car, he said, Ford wants to get continual, detailed sensor data on the state and performance of the vehicle’s electric battery, then feed that information into product development.

“And drivers, Mr. Sankaran said, seek to do more things while in their cars. A stock trader, for example, might want to continue trading from the road. If the trader sent in an order to sell 30,000 shares of Apple, he said, that transaction must be reliably and securely communicated.

“’You need an advanced messaging engine for these kinds of services,’ Mr. Sankaran said.”

The Times article points out that for MQTT to achieve its full potential it must be adopted not only by IT companies such as IBM and Cisco, but also by “…industrial technology heavyweights including General Electric, Honeywell, Siemens and United Technologies.

These companies make many of the sensor-equipped big things in the so-called Internet of Things — like jet engines, power turbines and oil field equipment.”

MQTT looks like it will play a major role in allowing harvesting of data from sensor networks, but we’ll have to see how much of an IoT lingua franca it really becomes!

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O’Reilly free e-book gives overview of “industrial internet”

Posted on 18th April 2013 in energy, Internet of Things, manufacturing, transportation

O’Reilly has published a free e-book,  “Industrial Internet,” (underwritten by GE, which, not so coincidentally, uses the industrial internet as the advertising slogan for its own involvement in the field…) about the “coming together to software and big machines.” It’s a great introduction to this crucial portion of the Internet of Things.

The message of the book? “With a network connection and an open interface that masks its underlying complexity, a machine becomes a Web service, ready to be coupled to software intelligence that can ingest broad context and optimize entire systems of machines.

“The industrial internet is this union of software and big machines… It promises to bring the key characteristics of the Web — modularity, abstraction, software above the level of a single device — to demanding physical settings, letting innovators break down big problems, solve them in small pieces, and then stitch together their solutions.”

Author Jon Bruner emphasizes that industrial internet devices don’t necessarily have to be connected to the public Internet: “…rather, it refers to machines becoming nodes on pervasive networks that use open protocols.”

Machines are reconceptualized as services, “…accessible to any authorized application that’s on the network. Those applications make it possible to simplify optimization of the physical devices without requiring as much knowledge. Most importantly, “…the industrial internet makes the physical world accessible to anyone who can recast its problems in terms that software can handle: learning, analysis, system-wide optimization. (my emphasis)”

Bruner points out that the bigger the network (think the entire US air traffic control system) the more optimized it can become. As Big Data takes over software intelligence “will become smarter and more granular.”

Hallmarks of the industrial internet will include:

  • fewer, smarter machines
  • less labor required to operate them
  • “Any machine that registers state data can become a valuable sensor when it’s connected to a network.”

One point that really struck me was that physical products will be able to be improved on the fly, rather than just when a new model is introduced — think of what that means, in particular, for cars, which can often last up to 15 years: it will become possible to change engine settings simply by a software upgrade transmitter via a smartphone app!

“A software update might include a better algorithm for setting fuel-air mixtures that would improve fuel economy. Initiatives like OpenXC8, a Ford program that gives Android developers access to drivetrain data, portend the coming of ‘plug and play intelligence,’ in which a driver not only stocks his car with music and maps through his phone, but also provides his own software and computational power for the car’s drivetrain, updated as often as his phone. One driver might run software that adjusts the car’s driving characteristics for better fuel economy, another for sportier performance. That sort of customization might bring about a wide consumer market in machine controls.

“This could lead to the separation of markets in machines and in controls: buy a car from General Motors and buy the intelligent software to optimize it from Google. Manufacturers and software developers will need to think in terms of broad platforms to maximize the value of both their offerings.”

WOW!

The e-book includes a chapter on the crucial issue of security, arguing that, paradoxically, it may be easier to provide security on an Internet-based network — on the premise that the Internet is constantly challenged by hackers and constantly adapts — than on a more limited network. It mentions Shodan (I’ve been seeing a lot about that one recently!) and Basecamp2 as magnets that attract those who might want to hack the Internet of Things.

There’s also a chapter full of helpful case studies from pioneering industrial internet companies in fields including utilities, HVAC/building controls, automotive (I found that one particularly interesting), aviation, railroads (paradoxically, one of our oldest industries is among the most advanced in its use of sensors and other industrial internet technology, as I’ve reported previously), health care, and manufacturing. Any smart manager should get ideas for his or her company by reading them!

“Industrial Internet” is a must read! Download it today.

 

 

 

 

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