Why Global Warming Must Be IoT Focus for Everyone

Thanksgiving 2015I want to offer you six great reasons — five of them are seated with my wife and me in this photo — why we all should make global warming a primary focus of IoT projects for the foreseeable future.

There simply is no way to sugar-coat the grim news coming out of the Paris climate talks: even with the most dramatic limits that might be negotiated there, scientists warn we will fall short of the limits in temperature rises needed to avoid global devastation for my grandchildren — and yours.

Fortunately, the Internet of Things can and must be the centerpiece of the drastic changes that we will have to make collectively and individually to cope with this challenge:

“Perhaps one of the most ambitious projects that employ big data to study the environment is Microsoft’s Madingley, which is being developed with the intention of creating a simulation of all life on Earth. The project already provides a working simulation of the global carbon cycle, and it is hoped that, eventually, everything from deforestation to animal migration, pollution, and overfishing will be modeled in a real-time “virtual biosphere.” Just a few years ago, the idea of a simulation of the entire planet’s ecosphere would have seemed like ridiculous, pie-in-the-sky thinking. But today it’s something into which one of the world’s biggest companies is pouring serious money.”

Let me leave you with a laundry list of potential IoT uses to reduce global warming compiled by Cisco’s Dr. Rick Huijbregts:

  • Urban mobility “apps” predict how we can move from A to B in a city in the most environmental friendly manner. Real time data is collected from all modes of city transportation.
  • Using solar energy to power IT networks that in turn power heating, cooling and lighting. Consequently, reduce AC/DC conversions and avoid 70% electricity loss.
  • IP­based, and POE (Power of Ethernet) LED lighting in buildings reduced energy by 50% because of LED and another 50% because of control and automation.
  • Sensors (Internet of Things) record environmental highs and lows, as well as energy consumption. Data analytics allow us to respond in real­time and curtail consumption.
  • Real time insight in energy behaviour and consumption can turn into actionable reduction. 10% of energy reduction can be achieved by behavioural change triggered by simple awareness and education.
  • Working from home while being connected as if one were in the office (TelePresence, Cisco Spark, WebEx, just to name a few networked collaboration tools) takes cars off the road.
  • Grid modernization by adding communication networks to the electrical grid to allow for capacity and demand management.
  • Planning, optimizing, and redirecting transportation logistics based on algorithms, real­time weather and traffic data, and streamlined and JIT shipment and delivery schedules.

These are all great challenges and offer the potential for highly profitable IoT solutions.  For the sake of my six grandchildren, let’s get going!

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!