Bestimmung eines Ähnlichen Verhaltensmusters zwischen von mehreren Sensoren Erhaltenen Zeitreihendaten sowie Clustering davon

Details

Veröffentlichungs-Nr.

EP4053738

Aktenzeichen

EP21182895

Anmeldetag

30. Juni 2021

Veröffentlichung

22. Oktober 2025

Erteilung

22. Oktober 2025

Rechtsraum

EP

IPC

G06F18/23G06N20/00G06N5/01G06F18/213

Abstract

Industries deploy a plethora of sensors that are attached to a system or human being, respectively. Under multi-sensor environment scenarios, there is a need to detect which sensors are behaving similarly within a time span. Sensor values often vary in range of values yet depict similar time series characteristic and sometimes have a phase difference in operation, thus making it impossible to detect such sensor similarity in a large system where the number of input parameters/ sensor observations. Systems and methods of the present disclosure determine similar behavioral pattern between time series data obtained from multiple sensors and cluster the sensors. The system implements a pattern recognition-based approach to find the similarity and then applies a Dynamic Programming-based approach to detect similarity in at least two time series data and cluster the sensors and corresponding time series data into specific cluster(s).

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete