Overview
The SIMATIC IOT2050 is the reliable, open platform designed for the acquisition, processing and transfer of data directly in the production environment.
It is ideally suited for use as a gateway between the cloud or company IT level and production.
The openness of the system in supporting numerous communication protocols and programming in high-level languages enables tailored solutions.
Openness for industrial IOT applications
- Wide range of options for programming in high-level languages
- Implementation of flexible communication solutions with different protocols, from Modbus RTU, OPC UA to cloud protocols such as MQTT/AMQP
- Use of open source application examples and libraries
- SIMATIC Industrial OS, via OSD + free “ISAR” Debian via download
Benefits
- Highly flexible connection options
- Variety of interfaces on-board for simple connection
- Simple and extremely flexible facilities with Arduino Shields and mPCIe cards
- High degree of ruggedness for continuous operation in industrial environments
- Designed for continuous operation at ambient temperatures up to 50 °C and tough environmental conditions
- Compact enclosure with diagnostics LEDs
- Standard rail mounting for easy installation in the control cabinet
- Deterministic response and performance for industrial applications
- Battery-backed real-time clock for assigning data to relevant time stamp
- TI ARM SoC, 64-bit processor including x86 deterministic response and security feature such as Secure Boot
Application
The combined utilisation of machine and production data opens up a wide range of possible applications – the SIMATIC IOT2050 as a freely-programmable data gateway can establish the interface between the field and the IT/cloud. It can harmonise communication between the various sources of data before analysing it and forwarding it to the appropriate recipients.
The SIMATIC IOT2050 can constitute an easy to retrofit, cost-efficient solution. This easy-to-implement solution facilitates the realisation of future-oriented production concepts on already existing systems.
Application examples:
- Connection of additional sensors, and data collection and transfer in existing systems in order to identify optimisation potential
- Acquisition of machine data, such as motor performance indicators, for analysis in order to derive preventive maintenance concepts
- Coherence and harmonisation of communication from and between different machines and automation components
Frequently Asked Questions (FAQs)
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