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

• Main Authors: SRISOOKSAI Tossaporn, NISHIDA Satoshi, NAMBU Shuji
• Format: Patent
• Language: English; French; German
• Published: 20.12.2023
• 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; TRANSPORTING; WIRELESS COMMUNICATIONS NETWORKS

A communication status inference apparatus (40) acquires a wireless signal as data indicating a radio wave environment of a wireless base station (10) installed along a railroad line when an onboard system (52) and the wireless base station (10) perform cognitive wireless communication, the wireless signal being received by a monitoring reception apparatus (20) in the vicinity of the wireless base station (10). The communication status inference apparatus (40) 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 (10) 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 of the wireless base station (10) as an input and with the frequency-specific communication status information based on the SNR at which the wireless base station (10) performed wireless communication under the radio wave environment as an output.