# US 2023/0054982 A1 · Asset inspection assistant > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0054982 A1 - Document ID: US20230054982A1 - Status: Published application - Kind: A1 - Application number: 17/894,048 - Filed: 2022-08-23 - Published: 2023-02-23 - Earliest claimed: 2021-08-23 - Assignees: Bridgestone Mobility Solutions B.V. - Applicants: Bridgestone Mobility Solutions B.V. - Inventors: Andrea Corda; Gianfranco Santoro - Web page: https://patentgrep.com/patent/US20230054982A1 ## CPC - G06Q 10/20: Administration of product repair or maintenance - G07C 5/006: {Indicating maintenance} - G07C 5/008: {communicating information to a remotely located station (transmission systems for measured values G08C)} - G07C 5/0808: {Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005)} - G07C 5/0825: {using optical means} - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G07C: TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE ## Abstract A system for identifying likely defects with an asset within a fleet of assets comprises sensors to detect asset sensor data, user input devices/ user output terminals associated with the plurality of assets, and a server device. The server device collects historical data comprising historical asset sensor data generated by the sensors and historical inspection report data from the user input devices. The server device further uses an algorithm to identify correlations in the historical data, obtains current asset sensor data generated by sensors on a given asset and/or obtains current inspection report data from a user input device associated with the given asset, calculates one or more likely defects with the asset based on the identified correlations, and based on the current asset sensor data and/or the current inspection report data, and sends the calculated likely defects to user output terminal associated with the given asset for display thereof. ## Claims ### Claim 1 A system for identifying likely defects with an asset within a fleet of assets, the system comprising: one or more sensors configured to detect asset sensor data of the fleet of assets; one or more user input devices associated with said fleet of assets configured to receive inspection report data of the fleet of assets; one or more user output terminals associated with said fleet of assets; and a server device, wherein the server device is configured to: collect historical data comprising: historical asset sensor data generated by the one or more sensors on the fleet of assets; and historical inspection report data from the one or more user input devices associated with the fleet of assets; use an algorithm to identify correlations in the historical data; obtain current asset sensor data from the one or more sensors on a given asset within the fleet of assets and/or obtain current inspection report data from a user input device associated with a given asset within the fleet of assets; calculate one or more likely defects which may be present on the given asset based on the identified correlations in the historical data, and based on the current asset sensor data and/or the current inspection report data; and send said one or more likely defects to a user output terminal associated with the given asset, wherein said user output terminal is configured to display an indication of said one or more likely defects. ### Claim 2 (depends on 1) The system of claim 1, wherein the user input device associated with the given asset comprises said user output terminal associated with the given asset. ### Claim 3 (depends on 1) The system of claim 1, wherein the server device is configured to: select a display template from a memory of the server device based on said one or more likely defects and send the display template to the user output terminal, wherein the display template prioritises the display of one or more checklist items in the inspection report data dependent on said one or more likely defects. ### Claim 4 (depends on 3) The system of claim 3, wherein the server device is configured to dynamically update the display template as new current inspection report data and/or current asset sensor data is received. ### Claim 5 (depends on 1) The system of claim 1, wherein the server device is configured to calculate a suggested action based on said one or more likely defects, and send the suggested action to the user output terminal, and wherein the user output terminal is configured to display the suggested action. ### Claim 6 (depends on 5) The system of claim 5, wherein the server device is further configured to calculate a priority list of suggested actions to be provided at the user output terminal based on said one or more likely defects. ### Claim 7 (depends on 5) The system of claim 5, wherein the suggested action is for the user to inspect one or more components on the asset and update the current inspection report data at the user input device. ### Claim 8 (depends on 1) The system of claim 1, wherein one or more of the sensors is a smart sensor, and the server device is configured to instruct a smart sensor associated with an asset component related to a likely defect to provide sensor data to the server device to verify the current condition of the asset component. ### Claim 9 (depends on 1) The system of claim 1, wherein the fleet of assets is a plurality of vehicles which are all of the same vehicle type. ### Claim 10 (depends on 1) The system of claim 1, wherein the asset sensor data comprises diagnostic trouble codes as specified by one or more asset manufacturers to identify asset defects. ### Claim 11 (depends on 1) The system of claim 1, wherein the server device is configured to group the asset sensor data according to an asset component to which the asset sensor data relates and group the inspection report data according to an asset component to which the inspection report data relates. ### Claim 12 (depends on 1) The system of claim 1, wherein the server device is configured to use the algorithm to identify correlations between historical asset sensor data and historical inspection report data. ### Claim 13 (depends on 1) The system of claim 1, wherein the server device is configured to use the algorithm to identify correlations within the historical inspection report data. ### Claim 14 A system for assisting asset inspection within a fleet of assets, the system comprising: one or more sensors configured to detect asset sensor data of the fleet of assets; one or more user input/output devices associated with said fleet of assets configured to receive inspection report data of the fleet of assets; and a server device, wherein the server device is configured to: collect historical data comprising: historical asset sensor data generated by the one or more sensors on the fleet of assets; and historical inspection report data from the one or more user input devices associated with the fleet of assets; use an algorithm to identify correlations in the historical data; obtain current asset sensor data from the one or more sensors on a given asset within the fleet of assets and/or obtain current inspection report data from a user input device associated with a given asset within the fleet of assets; calculate one or more likely defects which may be present on the given asset based on the identified correlations in the historical data, and based on the current asset sensor data and/or the current inspection report data; and select a display template from a memory of the server device based on said one or more likely defects and send the display template to the user input/output device associated with the given asset, wherein the display template prioritizes the display of one or more checklist items in the inspection report data dependent on said one or more likely defects. ### Claim 15 (depends on 14) The system according to claim 14, wherein the server device is configured to dynamically update the display template as new current inspection report data and/or current asset sensor data is received. ### Claim 16 (depends on 14) The system of claim 14, wherein the server device is configured to calculate a suggested action based on said one or more likely defects, and send the suggested action to the user input/output device, and wherein the user input/output device is configured to display the suggested action. ### Claim 17 (depends on 16) The system of claim 16, wherein the server device is further configured to calculate a priority list of suggested actions to be provided at the user input/output device based on said one or more likely defects. ### Claim 18 (depends on 16) The system of claim 16, wherein the suggested action is for the user to inspect one or more components on the asset and update the current inspection report data at the user input/output device. ### Claim 19 (depends on 14) The system of claim 14, wherein one or more of the sensors is a smart sensor, and the server device is configured to instruct a smart sensor associated with an asset component related to a likely defect to provide sensor data to the server device to verify the current condition of the asset component. ### Claim 20 A computer-implemented method for identifying likely defects with an asset within a fleet of assets, the method comprising: collecting, by a server device, historical data, the historical data comprising: historical asset sensor data from one or more sensors on the fleet of assets; and historical inspection report data from one or more user input devices associated with the fleet of assets; obtaining current asset sensor data using one or more sensors on a given asset within the fleet of assets and/or collecting current inspection report data using a user input device associated with a given asset within the fleet of assets; calculating, using an algorithm on the server device, one or more likely defects which may be present on the given asset based on correlations in the historical data, and based on the current asset sensor data and/or the current inspection report data; and providing an indication of said one or more likely defects at a user output terminal associated with the given asset.