Machinery State
The Machinery State module paves the way for various use cases like Machine Monitoring and KPI Calculations. Machine availability can easily be determined, resulting in high added value – especially in production processes where machines from different industries are used.
The definition of states enables the basic status of the machine to be expressed in a uniform way across all the different domains in mechanical process engineering. Examples of those states are: currently executing an activity, waiting to start or resume an activity, or out of service.
Job Management
The Job Management information model defined in OPC UA for Machinery builds on the ISA 95 Job Control specification. In addition, all job parameters are aligned with the terminology from ISO 22400. Thus, it is a highly harmonized information model with a wide range of usable job parameters. These include the job name, a start time, an end time, a job result, and information about the current status of the job. With the help of the Job Management model, use cases such as traceability and quality assurance can be supported in addition to the obvious use cases such as monitoring and controlling of jobs.
Energy Management
Energy management in industrial environments is increasingly critical for optimizing operations and meeting sustainability goals. The OPC UA for Machinery Energy Management is based on the generic specification OPC 34100 – Energy Consumption Management, a collaborative development by ODVA, OPC Foundation, PI, and VDMA.
The OPC UA for Machinery Energy Management provides a standardized approach to accessing energy consumption data from machines and their components. By defining a consistent set of typical, market-relevant energy information, it enables seamless integration across diverse systems and vendors. The structured energy data made available through this specification supports a wide range of use cases. These include Load Management, Product Carbon Footprint and Predictive Maintenance – all of which benefit from transparent and interoperable energy metrics directly from the machine level.