LEARNING MODEL GENERATION METHOD, INFERENCE APPARATUS, AND WIRELESS TRAIN CONTROL SYSTEM

• Main Authors: SRISOOKSAI, Tossaporn, NISHIDA, Satoshi, NAMBU, Shuji
• Format: Patent
• Language: English
• Published: 18.08.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; ENSURING THE SAFETY OF RAILWAY TRAFFIC; GUIDING RAILWAY TRAFFIC; PERFORMING OPERATIONS; PHYSICS; RAILWAYS; TRANSMISSION; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION; TRANSPORTING; WIRELESS COMMUNICATIONS NETWORKS

A communication status inference apparatus acquires a wireless signal as data indicating a radio wave environment of a wireless base station installed along a railway line when an onboard system and the wireless base station perform cognitive wireless communication, the wireless signal being received by a monitoring reception apparatus in the vicinity of the wireless base station, and executes an inference process of inputting the acquired data indicating the radio wave environment to a communication status inference model and outputting frequency-specific communication status information based on a signal-to-noise ratio (SNR) at which the wireless base station performed wireless communication under the radio wave environment. The communication status inference model is a machine learning model that has undergone learning using training data with the data indicating the radio wave environment as an input and with the frequency-specific communication status information based on the SNR as an output.