PLC SHIFT

DATA LOGGER
Collect Data from a PLC or sensors and automatically export to the cloud on change, interval or on demand.
DATA LOGGER is a universal PLC SHIFT application that collects valuable data from the PLC and automatically exports this data to Microsoft SQL, Azure, or MQTT on change or on interval. Our other applications produce their own valuable data, but there is usually additional data from the PLC that needs to be collected. Data Logger also provides outputs and a secure API to write values safely back into the process.
Traditionally this data was stranded or collected by SCADA systems, which prioritize data collection for operations. SCADA data is often collected at the wrong time or granularity to be useful for analytics.
Key Features
Logging Groups
4 data log groups each with;
24 Floating point tags
8 Digital tags
Configurable Log Interval
Configurable Trigger Tag with deadband
4 Output groups each with;
24 Floating point tags
8 Digital tags
Values writable from API (gPRC, REST)
Default values
Min/Max validation
Export Options - Report by Exception
MS SQL and Azure Table Storage for tabular data
MQTT SparkplugB for tag and tabular data*
On Change with 2 App level deadbands
On Interval with 4 App level Intervals
Excel or csv file with PLC SHIFT MANAGER
Metadata
App Level Tag Prefix for namespacing
Log Description - 128 Characters
Tag Description Field - 128 Characters
Tag Metadata Field - Custom Key/Value pairs, 128 Characters
PLC SHIFT Features
Integration with existing PLCs, RTUs and Flow Computers
Communicate directly to Compact/ControlLogix, Codesys, SCADAPack, or any Modbus capable device.
7 Day demo license
Apps will run fully featured for 7 days without a license for convenience and testing
Free configuration, management and operations tool
Modbus TCP Server
Read and write directly to the apps via the Modbus TCP server. Each app has a unique Modbus Unit ID to facilitate standardized HMI templates.
Web HMI
Automatically generated web HMI, served directly from the app for local and remote status and control
MS SQL, Azure and MQTT SparkplugB Export
Stream tag and historical data to MS SQL, Azure or an MQTT broker to enable real-time analytics and auditability.
Secure Connections
Modern security and encryption methods such as SSH and TLS for user access and data connectivity
App API
Read/write access to app tags via gRPC. Encrypted and authenticated role based access control with single sign-on.