Supporting real-time maintenance management and visualization of equipment
With the widespread use of devices and applications via networks, the amount of data transmitted and received among offices and plants has been increasing. It has become a matter of concern that network communication bands may become shorter due to an increase in the amount of data as a result of increased needs of activities for production innovation and productivity improvement using ICT and IoT. Conventionally, information about equipment maintenance and management has been processed through the transfer of information from users (from mechanical equipment) to the outside via the network, processing the information on the system installed in locations beyond the network, and transmitting the results to the users via the network on user machines/equipment. Now, instead of the above conventional system, edge computing environments have been introduced that are capable of performing data processing within a specific range without requiring the transfer of the information outside and transmitting the results to the user as feedback, by introducing devices for enabling data processing on user machines/equipment.
In addition to conventional predictive diagnostics on the server and cloud environments, simplified predictive diagnostics on gateways is enabled, improving real-time preventive maintenance measures in fields in which machines and equipment are installed. This system reduces the amount of data to be transferred, contributing to the optimization of your communication environment.
Communication between mechanical equipment and the predictive diagnosis system supports frequently used interfaces. With this configuration, adaptability to the system is increased due to the reduced need to change equipment at the introduction of the system and lowered introduction costs.
It is not necessary to carry user data outside in the data analysis processes and the simplified predictive diagnostics for the operation status in the edge computing environments installed in user mechanical equipment. In addition, HiPAMPS-Edge uses its remote management function protected by the strong security functions of the gateway to monitor the status of operations of the gateway and the predictive diagnostics system, updates the diagnosis engine function using its automatic update function, always providing an up-to-date system environment.
Click here for information about HiPAMPS-Edge introduction cases and proposals.
MQTT : Message Queueing Telemetry Transport
(A method in which the data to be transmitted from the transmission side are temporarily stored in a data area and the process proceeds with the next step before the process on the data receiving side is completed.)
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