Electronic technologies are helping reduce energy costs by tracking energy thieves. Moscow Incotex Co. Ltd. is implementing automated meter management systems throughout Russia and the Ukraine, collecting information from consumer energy meters over power lines. A key goal is to prevent theft and pinpoint the location of energy losses. Incotex’s Mercury PLC AMR sends signals between the utility and meter over power lines. Modules transmit data at up to 100 different frequencies in two directions, ensuring reliable transmission over noisy lines that were not built to handle communications traffic. Texas Instrument’s MSP430 microcontroller and TMS320C2000 digital signal controller are used to handle data and maintain signal reliability.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.