Bring your data to life
For remote fault diagnosis real-time data of affected machines is of high interest. Therefore oculavis SHARE offers the possibility of connecting your equipment and machinery in the field.
When predictive maintenance is used to predict malfunctions or failures of machines and systems, the actual work begins. A technician must leave at the right time - often spontaneously - to carry out maintenance work. Planning conflicts can make it necessary to call in experts from a distance. This is precisely the starting point for linking data from predictive maintenance applications with oculavis SHARE.
In the event of acute faults in machines and systems, a remote expert is given access to real-time and past data from the machine in question so that this information can be used for fault diagnosis. In the ideal case, the causes of faults can thus be found more easily and eliminated more quickly by using oculavis SHARE.
The ongoing combination of expert knowledge in conducting remote service sessions with machine data creates valuable knowledge about machines and equipment in the field in a systematic manner. Context-based analyses in oculavis SHARE make this knowledge systematically accessible, searchable and re-detectable.
MQTTMQTT is a machine-to-machine connectivity protocol that is designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required or network bandwidth is at a premium.
OPC UAOPC UA is used for communication and data exchange in the field of industrial automation. The standard defines both the transport and semantics of IoT data and interfaces to machine-to-machine communication. The entire architecture is service-oriented.
MTConnectThe MTConnect standard offers a semantic vocabulary for manufacturing equipment to provide structured, contextualized data with no proprietary format. It is based on XML and HTTP Internet technology for real-time data sharing.
Benefit from your data in remote support now