Emerson Electric has patented a distributed industrial process monitoring system for process plants. The system includes embedded data engines (DDEs) that collect and store data from process controllers. DDEs are connected in clusters, performing analytics functions and streaming data to consumers, enhancing process control efficiency. GlobalData’s report on Emerson Electric gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Emerson Electric, Smart climate control systems was a key innovation area identified from patents. Emerson Electric's grant share as of January 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Distributed industrial process monitoring and analytics system

Source: United States Patent and Trademark Office (USPTO). Credit: Emerson Electric Co

A recently granted patent (Publication Number: US11886155B2) outlines a method for advertising the presence of a cluster consisting of distributed data engines (DDEs) within a data analytics network of a process control plant. The DDEs in the cluster are embedded within the plant and perform various analytics functions on received data, facilitating the generation and sharing of analytic outputs within the cluster. The method involves registering a data source that generates continuous data from controlling the process, receiving this data within the cluster, and streaming it to a data consumer. The data analytics network overlays all other process control communication networks utilized in the plant, ensuring seamless integration and communication.

Furthermore, the patent details the interaction between a centralized cluster and local clusters within the data analytics network. The centralized cluster advertises its presence to local clusters, which are configured to store and stream continuous data generated during process control. The centralized cluster registers and receives data from these local clusters, performs data analytics functions on the received data, and streams the output to data consumers. The method also involves storing data at the centralized cluster, historizing data, responding to queries from data consumers, and facilitating data exchange between clusters. Additionally, the patent mentions the possibility of hosting clusters in a cloud computing environment, providing location services, data dictionaries, and user interfaces for administrative purposes within the data analytics network.

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