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Compact PLC Neuron S103
Raspberry PiDIN raildigital input

Compact PLC - Neuron S103 - UniPi.technology - Raspberry Pi / DIN rail / digital input
Compact PLC - Neuron S103 - UniPi.technology - Raspberry Pi / DIN rail / digital input
Compact PLC - Neuron S103 - UniPi.technology - Raspberry Pi / DIN rail / digital input - image - 2
Compact PLC - Neuron S103 - UniPi.technology - Raspberry Pi / DIN rail / digital input - image - 3
Compact PLC - Neuron S103 - UniPi.technology - Raspberry Pi / DIN rail / digital input - image - 4
Compact PLC - Neuron S103 - UniPi.technology - Raspberry Pi / DIN rail / digital input - image - 5
Compact PLC - Neuron S103 - UniPi.technology - Raspberry Pi / DIN rail / digital input - image - 6
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Characteristics

Type
compact, Raspberry Pi, DIN rail
Input/output
digital input, digital outputs, analog outputs
Network
RS485

Description

Unipi Neuron S103 is a programmable logic controller designed for automation, control, regulation and monitoring. The S103’s universal architecture includes digital and analog I/Os, making it suitable for simple installations. The controller also features a single RS485 serial interface and a 1-Wire interface for connecting digital humidity or temperature sensors. Features universal architecture integrated Raspberry Pi (based on selected variant) software openness (based on Linux OS) free Mervis software licence Inputs & outputs description Digital inputs (DI) are designed for reading states of two-state devices such as various digital sensors, switches and buttons, motion sensors etc. All digital inputs feature counter functionality by default. Digital outputs (DO) are applicable for switching two-state devices using direct current (DC) such as locks, external relays, contactors etc. DO’s can be also used for analog control thanks to the pulse-width modulation (PWM) function. Analog input (AI) is designed to measure voltage or current in order to read values from various analog sensors (pressure meters, tension gauges etc.). Analog output (AO) is used to control and regulate devices such as three-way valves, electric motors, inverter drives, heat exchangers etc. by direct current or voltage. Computing module The controller is powered by Raspberry Pi 3 Model B+ featuring quad-core 1.4 GHz CPU and 1GB RAM, or Raspberry Pi 4 Model B with quad-core 1.5 GHz and selectable RAM capacity (2, 4, or 8 GB). Giving it more than enough performance for various performance-demanding applications.

Catalogs

Unipi Neuron
Unipi Neuron
28 Pages
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.