MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202514103724 A) filed by Abb Schweiz AG on October 28, 2025, for Auto-Generation Of Textual Time Series Descriptions.
Inventors include Nika Strem; Sylvia Maczey; Ruben Huehnerbein; Yanqing Zhang; Emmanuel Brorsson; Dawid Ziobro; Gianluca Manca; Fabian Buelow; Marcel Dix; Arzam Muzaffar Kotriwala; and Nilavra Bhattacharya.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: The invention relates to a method (100) for automatically generating a textual description of time series for monitoring or forecasting a process variable, comprising the steps of training (110) a deep learning model on a cross-modal autoencoding module (10) having an architecture consisting of a time series encoder (11), a text decoder (12) and a time series decoder (13), obtaining (120) time series data by invoking a display of readings of the temporal process variable, encoding (130), by means of the time series encoder (11) and based on the deep learning model, the time series data and generating an embedding as input for the text decoder (12), transferring (140) the generated embedding from the time series encoder (11) to the text decoder (12), and generating (150), by means of the text decoder (12) and based on the deep learning model, the textual description of time series based on the embedding of the encoded time series data from the time series encoder (11). Fig. 1
Disclaimer: Curated by HT Syndication.
