Celonis has patented a method for providing process protocols for physical objects in production lines. Machine-readable data is assigned to objects, read at stations, and stored with timestamps to generate process protocols. The protocols are continuously generated and stored in volatile memory for real-time processing. GlobalData’s report on Celonis gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Celonis, AI for workflow management was a key innovation area identified from patents. Celonis's grant share as of April 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Process protocol generation for physical objects in production lines
A recently granted patent (Publication Number: US11914346B2) outlines a method for providing process protocols for physical objects moving through production or processing stations in a line. The method involves assigning machine-readable data to objects, reading this data at stations, and storing it in a structured manner with timestamps. The stored data is used to generate a process protocol detailing each step of the process, including unique identifications, process step sequences, and context-related data. The process protocol is continuously generated in volatile memory and can be analyzed using a process mining system for process analysis.
Furthermore, the patent details how the reading means at each station generates data sets for the process protocol based on the machine-readable data, station assignments, and timestamps. Context-related data can be added to the protocol from reading means, stations, third-party systems, or generated during protocol creation. The method also allows for the use of sensors to generate context-related data, the use of tags on objects for data storage, and processing of transmitted data before storage. Overall, the process protocol stored in volatile memory can be continuously updated and analyzed for process improvement using a process mining system, showcasing a comprehensive approach to monitoring and optimizing production or processing lines.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
