So now we have sensors monitoring and tracking all sorts of data we have cloud-based apps translating that data into useful intelligence and transmitting it to machines on the ground, enabling mobile, real-time responses. Traffic and street conditions will be communicated to drivers, rerouting them around areas that are congested, snowed-in, or tied up in construction. What can you achieve when a smart car and a smart city grid start talking to each other? We’re going to have traffic flow optimization, because instead of just having stoplights on fixed timers, we’ll have smart stoplights that can respond to changes in traffic flow. You might start to see the implications here. Sensors on the bridge connect to machines in the car: we turn information into action. This is just one of the ways that sensor-to-machine and machine-to-machine communication can take place.
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Once your car knows there’s a hazard ahead, it will instruct the driver to slow down, and if the driver doesn’t, then the car will slow down for him.
If there’s ice on the bridge, the same sensors in the concrete will detect it and communicate the information via the wireless internet to your car. And these technologies aren’t limited to the bridge’s structure. This is cement that alerts us to fix problems before they cause a catastrophe. When we rebuild bridges, we can use smart cement: cement equipped with sensors to monitor stresses, cracks, and warpages. In 2007, a bridge collapsed in Minnesota, killing many people, because of steel plates that were inadequate to handle the bridge’s load. The cloud is what enables the apps to go to work for you anytime, anywhere. The Internet of Things doesn’t function without cloud-based applications to interpret and transmit the data coming from all these sensors. All the information gathered by all the sensors in the world isn’t worth very much if there isn’t an infrastructure in place to analyze it in real time.Ĭloud-based applications are the key to using leveraged data. That is to say, the real value that the Internet of Things creates is at the intersection of gathering data and leveraging it. The Internet of Things really comes together with the connection of sensors and machines. It measures, it evaluates in short, it gathers data. It doesn’t do anything in the same sense that a machine does. We’re talking about sensors.Ī sensor is not a machine. When we talk about making machines “smart,” we’re not referring strictly to M2M. But a machine is an instrument, it’s a tool, it’s something that’s physically doing something. So much of the chatter has been focused on machine-to-machine communication (M2M): devices talking to like devices. What’s the buzz? The Internet of Things revolves around increased machine-to-machine communication it’s built on cloud computing and networks of data-gathering sensors it’s mobile, virtual, and instantaneous connection and they say it’s going to make everything in our lives from streetlights to seaports “smart.”īut here’s what I mean when I say people don’t think big enough. I’ve maintained that the future is always within sight, and you don’t need to imagine what’s already there.Ĭase in point: The buzz surrounding the Internet of Things. It’s not a lack of imagination it’s a lack of observation. When people talk about “the next big thing,” they’re never thinking big enough. Little sensors, big impact: CardioMEMs sensors are implanted using minimally invasive techniques.
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