# US 12,110,047 B2 · Information processing apparatus and method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,110,047 B2 - Document ID: US12110047B2 - Status: Granted - Kind: B2 - Application number: 17/016,791 - Filed: 2020-09-10 - Published: 2021-09-16 - Granted: 2024-10-08 - Earliest claimed: 2020-03-16 - Assignees: Kabushiki Kaisha Toshiba - Applicants: Kabushiki Kaisha Toshiba - Inventors: Sayaka Akiyama; Toru Yano - Web page: https://patentgrep.com/patent/US12110047B2 ## CPC - B61L 15/0081: {On-board diagnosis or maintenance} - B61L 15/0072: {On-board train data handling} - B61L 15/009: {On-board display devices} - B61L 27/60: Testing or simulation - G06F 3/14: Digital output to display device {; Cooperation and interconnection of the display device with other functional units} - G06F 3/147: using display panels - B60W 2050/146: {Display means} - B61L: GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC (brakes or auxiliary equipment B61H, B61K; point or crossing construction E01B) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - B60W: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT ## Abstract According to one embodiment, an information processing apparatus includes a processor. The processor is configured to detect a state of a device by applying device information on the device to a state detection model generated based on past device information on the device and characteristic information indicating characteristics of a moving body equipped with the device. ## Claims ### Claim 1 An information processing apparatus, comprising: processing circuitry configured to detect a state of a device by applying device information on the device to a state detection model generated based on past device information on the device and characteristic information indicating characteristics of a moving body equipped with the device, wherein the processing circuitry is further configured to select the state detection model from a plurality of state detection models, based on a calculated reliability of each of the plurality of state detection models, the reliability being calculated, for each model of the plurality of state detection models, by (1) determining a first value indicating a number of times for which the model output a value indicating a failure of the device that occurred during a predetermined past time period, (2) determining a second value indicating a number of actual failures that occurred for the device in the predetermined past time period, (3) determining an accuracy by multiplying a state change amount by the determined first value and dividing by the determined second value, (4) determining a learning validity value, which is zero when a failure case occurred during a training period of the model and is one when the failure case did not occur during the training period, and (5) determining the reliability by multiplying the determined accuracy by the determined learning validity value. ### Claim 2 (depends on 1) The information processing apparatus according to claim 1, wherein the processing circuitry is further configured to receive the device information. ### Claim 3 (depends on 1) The information processing apparatus according to claim 1, wherein the processing circuitry is further configured to display one of the detection results. ### Claim 4 (depends on 3) The information processing apparatus according to claim 3, wherein the processing circuitry is further configured to: detect a corresponding state of each of a plurality of devices; assign a corresponding priority to each of the plurality of devices based on the detected states; and display the assigned priorities assigned to the plurality of devices. ### Claim 5 (depends on 4) The information processing apparatus according to claim 4, wherein a plurality of target devices is mounted on a plurality of car bodies constituting the moving body. ### Claim 6 (depends on 5) The information processing apparatus according to claim 5, wherein the device information comprises boarding rates of the plurality of car bodies, control values for the plurality of devices, and actual values related to operations of the plurality of devices based on the control values. ### Claim 7 (depends on 1) The information processing apparatus according to claim 1, wherein the characteristic information comprises information including a design value of the moving body or information on a route on which the moving body moves. ### Claim 8 An information processing apparatus, comprising: processing circuitry configured to input first and second periods designated by a user; and display a state of a device detected by applying device information on the device during the first period to a state detection model generated based on device information on the device during the second period, wherein the processing circuitry is further configured to select the state detection model from a plurality of state detection models, based on a calculated reliability of each of the plurality of state detection models, the reliability being calculated, for each model of the plurality of state detection models, by (1) determining a first value indicating a number of times for which the model output a value indicating a failure of the device that occurred during a predetermined past time period, (2) determining a second value indicating a number of actual failures that occurred for the device in the predetermined past time period, (3) determining an accuracy by multiplying a state change amount by the determined first value and dividing by the determined second value, (4) determining a learning validity value, which is zero when a failure case occurred during a training period of the model and is one when the failure case did not occur during the training period, and (5) determining the reliability by multiplying the determined accuracy by the determined learning validity value. ### Claim 9 A method, comprising: detecting, by processing circuitry, a state of a device by applying device information on the device to a state detection model generated based on past device information on the device and characteristic information indicating characteristics of a moving body equipped with the device, wherein the method further comprises selecting, by the processing circuitry, the state detection model from a plurality of state detection models, based on a calculated reliability of each of the plurality of state detection models, the reliability being calculated, for each model of the plurality of state detection models, by (1) determining a first value indicating a number of times for which the model output a value indicating a failure of the device that occurred during a predetermined past time period, (2) determining a second value indicating a number of actual failures that occurred for the device in the predetermined past time period, (3) determining an accuracy by multiplying a state change amount by the determined first value and dividing by the determined second value, (4) determining a learning validity value, which is zero when a failure case occurred during a training period of the model and is one when the failure case did not occur during the training period, and (5) determining the reliability by multiplying the determined accuracy by the determined learning validity value.