Run the IoT Edge Module and connect up to 20 Siemens S7-300/400 or S7-1200/1500 PLCs. Acts as OPC UA server on Azure IoT Edge, for example as data source for OPC Publisher by Microsoft.
Softing dataFEED edgeConnector Siemens is a containerized SIMATIC S7 connectivity module adding OPC UA Server functionality. After the deployment, it is possible to configure Southbound and Northbound communication via local GUI or REST interface.
For southbound communication it is possible to connect up to 20 Siemens S7-300/400 or S7-1200/1500 PLCs including optimized data blocks. The Namespace configuration is done by importing the STEP7/TIA Projects or simply browsing the variables of the PLC.
The northbound communication runs with standardized OPC UA communication for data integration into management systems like ERP, MES or SCADA or for data exchange with other docker containers like Microsoft OPC Publisher for cloud scenarios. In addition MQTT is available as protocol to connect MQTT Broker in local or cloud environments.
The application supports security standards like SSL/TLS, X.509 certificates, authentication and data encryption. The container runs for 72h in demo mode. Fully activate the application via BYOL from Softing. This also requires the installation of the Softing floating license server.
Supported Controllers: Siemens SIMATIC S7-300/400, and S7-1200/1500 (including optimized block access)
Supported Protocols: SIMATIC S7, RFC1006, OPC UA, MQTT
Supported OPC Specifications: OPC Unified Architecture V1.03
OPC UA Roles: OPC UA Server
OPC UA Profiles: Data Access
OPC UA Security methods -> Aes256Sha256-RsaPss, Aes128SHA256-RsaOaep, Basic256Sha256, Basic256, Basic128Rsa15, None OPC UA Authentication: Anonymous, Username and password, Certificate
Logging Diagnostics: Built-in trace and audit logging facilities, configurable and accessible through the web interface, Docker integrated trace logging
Operating Systems: Linux or Windows 10 (Host with Docker environment)
Supported Architectures: amd64
Configuration: via local GUI or REST API
Minimum Hardware Requirements: 250MB free disk space, 2GB RAM