Snap-on Inc.

Brett A Kelley

Patrick S Merg

Jacob G Foreman

Bradley R Lewis

Roy Steven Brozovich

Joshua C Covington

Steven E Miskovic

Joseph R Grammatico

Kahlil H Cacabelos

Joshua D Williamson

Ozzy Neri

Tilak B Kasturi

An example method involves receiving, at a computing system, vehicle diagnostic information from a vehicle. The vehicle diagnostic information may include one or more sets of parameters corresponding to parameter identifiers (PIDs). The method further involves identifying a first set of parameters corresponding to a PID representing a state of a particular system of the vehicle and determining, using the first set of parameters, a current value of the PID. The method may also involve performing a comparison between the current value and a predetermined value for the PID and determining a health of the particular system of the vehicle such that the health reflects a difference between the current value and the predetermined value for the PID. The method may also involve displaying, by the computing system at a graphical interface, a vehicle health record representing the health of the particular system of the vehicle.

Vehicle health record

In an embodiment, a method includes receiving, by a computing device, textual vehicle service content. The method further includes identifying, by the computing device, a vehicle scan tool function relevant to associated text at a location within the textual vehicle service content. The method additionally includes modifying, by the computing device, the textual vehicle service content to include a selectable link at the location of the associated text, wherein the selectable link is selectable to initialize a vehicle scan tool to perform the identified vehicle scan tool function on a vehicle. The method also includes providing, by the computing device, the modified textual vehicle service content including the selectable link.

Supplementing vehicle service content with scan tool initialization links

A method includes determining a test drive script (TDS) to perform while a tool monitors an electronic system in a mobile machine during a test drive of the mobile machine. The TDS includes an ordered sequence of drive cycle procedures (DCPs). The ordered sequence of DCPs begins with an initial DCP and ends with a final DCP. Each DCP is indicative of a respective mobile machine state. The TDS includes a first particular DCP associated with both a first particular mobile machine state and a first condition pertaining to the first particular mobile machine state. The method also includes outputting a representation of at least a portion of the TDS. Additionally, the method includes determining and outputting one or more of: status information corresponding to achieving the first particular mobile machine state or status information corresponding to achieving the first condition pertaining to the first particular mobile machine state.

Method and system for test driving mobile machine

An example method includes determining identifying information for a vehicle to be serviced. The method further includes receiving at least one symptom identifier for the vehicle. The method further includes sending a request over a communication network to a remote server for a PID filter list for the vehicle, the request comprising the identifying information for the vehicle and the at least one symptom identifier for the vehicle. The method additionally includes receiving a response to the request over the communication network from the remote server, the response comprising the PID filter list for the vehicle. The method further includes determining, based on the PID filter list for the vehicle, a symptom-based subset of PIDs for the vehicle from a set of available PIDs. The method additionally includes displaying, on a display interface, the symptom-based subset of PIDs for the vehicle.

Method and system for displaying PIDs based on a PID filter list

Methods and systems for using natural language processing and machine-learning algorithms to process vehicle-service data to generate metadata regarding the vehicle-service data are described herein. A processor can discover vehicle-service data that can be clustered together based on the vehicle-service data having common characteristics. The clustered vehicle-service data can be classified (e.g., categorized) into any one of a plurality of categories. One of the categories can be for clustered vehicle-service data that is tip-worthy (e.g., determined to include data worthy of generating vehicle-service content (e.g., a repair hint). Another category can track instances of vehicle-service data that are considered to be common to an instance of vehicle-service data classified into the tip-worthy category. The vehicle-service data can be collected from repair orders from a plurality of repair shops. The vehicle-service content generated by the systems can be provided to those or other repair shops.

Method and system for generating vehicle service content

In an embodiment, a method includes receiving, at a vehicle scan tool, a request for automated vehicle scan tool initialization, the request comprising a function identifier for a vehicle scan tool function and a vehicle identifier for a vehicle, where the vehicle scan tool is configured to display at least one navigable menu. The method additionally includes determining a current operating state of the vehicle scan tool. Based on the current operating state of the vehicle scan tool, the method further includes making a determination to initialize the vehicle scan tool according to the request for automated vehicle scan tool initialization. In response to making the determination, the method also includes using the function identifier and the vehicle identifier to initialize the vehicle scan tool to perform the vehicle scan tool function on the vehicle.

Vehicle scan tool configured to receive automated initialization requests

An example method for outputting a PID filter list (PFL) includes: receiving RO data from one or more ROs that indicate particular vehicle identifying information (PVII), at least one symptom identifier, and a particular vehicle component; determining, symptom-to-parameter-identifier (PID) mapping data (MD) based on the received RO data and component-to-PID MD; determining, based on the set of available PIDs for the SOV and the symptom-to-PID MD, a PFL, wherein the PFL is associated with the PVII and the at least one symptom identifier, and wherein the PFL indicates a symptom-based subset of PIDs from the set of available PIDs for the SOV; receiving, a request sent over a communication network from a display device, wherein the request comprises the PVII and the at least one symptom identifier; and transmitting, over the communication network to the display device, a response to the request, the response comprising the PFL.

Method and system for providing diagnostic filter lists

A processor may determine that a particular computer-readable vehicle repair order (RO) (e.g., including first and second RO portions) corresponds to an existing cluster of ROs due to the particular RO including RO data that refers to a particular vehicle symptom. The processor may determine that the first RO portion includes first data representative of a non-specific vehicle component and may then responsively also determine that the second RO portion includes second data that the at least one processor can use to determine a specific vehicle component associated with the particular RO. Responsively, the processor may determine the specific vehicle component based on the first and second data and may then add the particular RO to a different cluster of ROs that is arranged to contain ROs that correspond to the particular vehicle symptom and to the specific vehicle component.

Methods and systems for clustering of repair orders based on inferences gathered from repair orders

Methods and apparatus are provided that are related to generating repair orders, including vehicular repair orders. A computing device can receive repair-related information associated with a repair order. The repair-related information can include information about a first repair attribute of one or more repair attributes. The computing device can determine a first ontology related to the first repair attribute. The first ontology can be further related to a first template. The computing device can determine modified repair-related information by at least utilizing the first template to modify at least a first portion of the repair-related information that includes the information about the first repair attribute. The computing device can generate an output related to the repair order that includes the modified repair-related information.

Growing community of inventors

San Jose, CA, United States of America

Brett A Kelley