Toyota Motor had four patents in big data during Q1 2024. Toyota Motor Corp filed patents for a processing device for time-series data compression, a city management support method for forecasting service supply and demand, and an electric vehicle trip simulator for recommending charging station locations based on trip parameters and points of interest analysis. GlobalData’s report on Toyota Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Toyota Motor grant share with big data as a theme is 25% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Time-series data processing method and processing device (Patent ID: US20240104397A1)
The patent filed by Toyota Motor Corp. describes a processing device for time-series data that reduces the data amount by performing compression processing on quantized time-series data. The compression processing unit calculates a statistical index, excludes data based on an exclusion condition, compresses the original data, and stores the compressed data along with the statistical index in a storage unit. The method involves compression processing and restoration processing steps, where the restoration processing involves generating restored data, calculating a second statistical index, specifying an interpolation target part, and generating learning data based on the first and second statistical indexes.
The claims in the patent detail a time-series data processing method and device that reduce the data amount of continuously varying time-series data. The compression processing unit calculates a statistical index, excludes data based on specific conditions, compresses the data, and saves it in a storage unit. The restoration processing unit reads the saved data, generates restored data, calculates a second statistical index, specifies an interpolation target part, and generates learning data for machine learning applications. The method and device are particularly useful for data related to power storage devices in vehicles, where machine learning is used to estimate changes over time.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
