PREMO enhances its receiver antennas
range with the new RCA-ROD series (radio clock antenna), an antenna for
synchronized clocks and ripple control (tariff switching, public lighting control, smart metering,
etc.), which consist into a parallel resonant tank.
The ferrite core
standard dimension is 10x40mm. Other antenna dimensions are available under
antenna can be set and tuned in different frequencies from 40 to 139kHz, for
clock applications (synchronization with atomic clock, 40 and 60kHz in Japan,
77.5 kHz in Germany, etc.) and power control and management applications
management), lighting controls, smart metering, etc.
There are several
clock signal and long wave transmitters for the power control (radio ripple
control): DCF77-77.5kHz(Germany), HBG-75kHz (Switzerland), MSF-60kHz (United
Kingdom), JJY-40&60kHz (Japan), WWVB-60kHz (USA), DCF49 (Germany): 129,1kHz
(Mainfligen transmitter, 100kW), y 139kHz (Burg transmitter, 50kW), 135,6kHz
(Laikhegy, Hungary, transmitter 100kW) to cover different zones.
These long wave
transmitters use FSK modulation with frequency precision of +/- 107 Hz and
signal speed of 200 Bd.
In a precision
receiver antenna design configured with a resonant tank is very important the
quality factor of the circuit, which is a combination of the "Q" of
the coil and "Q" of the capacitor.
The higher is the
quality factor, the more sensitivity will have the signal reception of the
antenna. (f.e.m will be increased in the tank), but on the contrary, the
bandwidth of the resonant circuit becomes narrower. So, small variations in the
inductance (L) or capacity (C) could cause a shift in the operating frequency
and therefore a significant loss of receiving signal; thus compromise is
established of quality factor "Q" to assure the proper operation of the
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.