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Processing Asset Data at the Intelligent Edge: Implementation of an Industrial IoT Architecture to Drive Business Value


 An Industrial IoT architecture is presented which enables edge computing of data collected from rotating machinery in a model conducive to multiple use cases. The architecture is compared to traditional "IoT data to the cloud" models and on-premise point solutions, illustrating the effectiveness of computing at the edge with a generic IoT solution. Customer benefits from the solution are presented and discussed. The initial solution framework of asset condition monitoring and predictive maintenance is provided by on-premise data analytics software incorporating historical models of asset behavior. Computer hardware traditionally available only in data centers is available to provide powerful computing capabilities. A wireless communications mesh is implemented to provide secure connectivity between plant assets, computers and workers. A digital twin is constructed and augmented reality methods are implemented to extract information from the raw data. Inclusion of plant personnel from planning, to installation, to implementation has been critical to the acceptance and use of the technology in operations. Implementation of a generic IoT architecture rather than a point solution increases the value obtained from the initial investment as subsequent solution frameworks are added. An IoT platform operating at the "intelligent edge" can be more efficient and less costly than cloud-based solutions, reducing time from acquired data to corrective action. An architecture which accounts for role-based and location-aware data presentation further increases the value of the data to the individual worker. Just bringing sensor data to an IoT cloud platform does not create business value from the data. Ensuring interoperability, connectivity, adherence to industry standards and integration of security and manageability are all prerequisites to architecting a scalable Industrial IoT solution that delivers value to the customer. Additional important benefits to the customer are safety, management of change and personal growth of the employees using the technology.