HP has been granted a patent for a system that uses sensors to monitor the condition of parts and automatically initiate a re-order request based on the sensor data. The system includes a reader, extractor, and transmitter to streamline the manufacturing process. GlobalData’s report on HP 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 HP, Device power optimization was a key innovation area identified from patents. HP's grant share as of January 2024 was 58%. Grant share is based on the ratio of number of grants to total number of patents.

System for redesigning parts based on sensor output data

Source: United States Patent and Trademark Office (USPTO). Credit: HP Inc

A recently granted patent (Publication Number: US11887177B2) discloses a system and method for monitoring the condition of parts, particularly three-dimensional (3D) printed parts, over their predicted lifecycle. The system includes a camera to read an identifier associated with the part, an extractor to extract sensor output data from a sensor embedded in the part, and a transmitter to send a redesign order based on the sensor data, identifier, and a request for manufacturing action to redesign the part. Additionally, a failure predictor is incorporated to predict potential failures based on the sensor output data, allowing for proactive maintenance and redesign.

Furthermore, the system involves altering the redesign order based on the sensor data, including reordering a redesigned version of the part based on usage conditions or the sensor output data itself. The sensor output data covers various aspects such as manufacturing conditions, post-processing conditions, part design information, and usage conditions. The method also includes reading an identifier from a storage element in the part, extracting sensor output data, predicting failures, and transmitting a redesign order for manufacturing action. The system integrates a database of recorded failures for similar parts, enabling a more accurate prediction of potential failures and facilitating timely redesign actions. Additionally, user interfaces prompt for authorization to transmit redesign orders and provide notifications on updated versions, recommended versions, and predicted failures based on the sensor data, enhancing user engagement and decision-making processes.

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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.