Input type: DC input, negative public end.
Input points: 32 points.
Enter the response time: 1.5ms the following.
Rated input voltage / current: DC24V/5mA.
External connection: 3 wire.
Sensor connector type (E-CON type).
Using industry standard E-CON type.
Simple wiring through sensor connector.
When installing the module can choose to use the DIN guide rail or screw mounting.
3 wire sensor input. 3 slots
FX2NC-1HC
The main substrate needs to be equipped with CPU and power supply.
Ultra thin main substrate.
Requires 1 power modules.
Used to install Q series modules.
Optimal network matching for application purposes and applications,
Seamless communication between different hierarchical systems.
Enhancing the ability of information communication through network.
This is also a major task in the field of automation.
Network environment provided by Q series
Is truly open & seamless.
Including based on universal ethernet,
Achieve easy management of the environment "IE Control CC-Link" controller network,
As well as in its management to achieve a high-speed, high-capacity transmission of the "IE Field CC-Link" field network.
Also including Japan''s first, to achieve the world standard,
And get the SEMI certification of the field network "CC-Link",
And inherited the design concept of the provincial distribution network CC-Link/LT".
And support sensor networks "AnyWire",
To enrich the lineup flexibility to integrate the various layers of automation network.
A variety of modules with excellent performance,
Meet the needs of various control from analog to location.
Q series module products include a variety of types of I/O, analog and positioning function module.
Can fully meet the switch, sensor, such as the input and output, temperature, weight, flow and motor, drive control,
As well as the requirements of high-precision control of the positioning of the industry, the control needs of various fields.
Can also be used in combination with the CPU module to achieve appropriate control.
FX2NC-1HC Operation manual/Instructions/Model selection sample download link:
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