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公开(公告)号：US12106615B2
公开(公告)日：2024-10-01
申请号：US18318292
申请日：2023-05-16
申请人： Snap-on Incorporated
发明人： Bradley R. Lewis , Patrick S. Merg , Roy S. Brozovich , Jacob G. Foreman , Joshua C. Covington , Brett A. Kelley , Steven E. Miskovic
IPC分类号： G07C5/08 , G06F16/955 , G07C5/00
CPC分类号： G07C5/0808 , G06F16/955 , G07C5/008 , G07C2205/02
摘要： 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.
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公开(公告)号：US20230282041A1
公开(公告)日：2023-09-07
申请号：US18318292
申请日：2023-05-16
申请人： Snap-on Incorporated
发明人： Bradley R. Lewis , Patrick S. Merg , Roy S. Brozovich , Jacob G. Foreman , Joshua C. Covington , Brett A. Kelley , Steven E. Miskovic
IPC分类号： G07C5/08 , G07C5/00 , G06F16/955
CPC分类号： G07C5/0808 , G06F16/955 , G07C5/008 , G07C2205/02
摘要： 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.
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3.发明申请公开(公告)号：US20230068169A1
公开(公告)日：2023-03-02
申请号：US18045336
申请日：2022-10-10
申请人： Snap-on Incorporated
摘要： 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.
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公开(公告)号：US11481737B2
公开(公告)日：2022-10-25
申请号：US17019170
申请日：2020-09-11
申请人： Snap-on Incorporated
IPC分类号： G06Q10/00
摘要： 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.
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公开(公告)号：US20210279155A1
公开(公告)日：2021-09-09
申请号：US17325184
申请日：2021-05-19
申请人： Snap-on Incorporated
摘要： Disclosed are methods and devices related to diagnosing a device-under-service (DUS) are disclosed. DUS-related data is received. The DUS-related data is determined to be aggregated into aggregated data based on a determined classification of the DUS-related data. An aggregated-data comparison of the DUS-related data and aggregated data is generated. The aggregated-data comparison can include a statistical analysis of the DUS-related data and/or a differential analysis of DUS-related data taken while the DUS is operating in two or more operating states. A DUS report is generated based on the aggregated-data comparison. The DUS report can include one or more sub-strategies. At least one of the one or more sub-strategies can include a sub-strategy-success estimate. The DUS report can be sent and a DUS-report display can be generated based on the DUS report.
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公开(公告)号：US10891597B2
公开(公告)日：2021-01-12
申请号：US16571889
申请日：2019-09-16
申请人： Snap-on Incorporated
IPC分类号： G06F17/27 , G06Q10/00 , G06F40/40 , G06F40/284
摘要： 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.
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公开(公告)号：US20200013022A1
公开(公告)日：2020-01-09
申请号：US16571889
申请日：2019-09-16
申请人： Snap-on Incorporated
摘要： 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.
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8.发明授权公开(公告)号：US10380557B2
公开(公告)日：2019-08-13
申请号：US14815407
申请日：2015-07-31
申请人： Snap-on Incorporated
摘要： Methods and systems may relate to clustering of repair orders based on alternative repair indicators. Accordingly, a processor may determine that a particular computer-readable vehicle repair order (RO) corresponds to an existing cluster of ROs due to the particular RO including data that refers to a particular vehicle symptom. This existing cluster may be arranged to contain ROs that correspond to the particular vehicle symptom. In response to determining that the particular RO correspond to the existing cluster, the processor may determine that the particular RO includes data indicating an alternative repair that defines a vehicle repair for resolving the particular vehicle symptom other than by replacement of a particular vehicle component. Responsively, the processor may add the particular RO to a different cluster of ROs. This different cluster may be arranged to contain ROs that correspond to the particular vehicle symptom and to the alternative repair.
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9.发明申请公开(公告)号：US20190050826A1
公开(公告)日：2019-02-14
申请号：US16160100
申请日：2018-10-15
申请人： Snap-on Incorporated
摘要： 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.
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10.发明授权公开(公告)号：US10134013B2
公开(公告)日：2018-11-20
申请号：US14933337
申请日：2015-11-05
申请人： Snap-on Incorporated
摘要： 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.
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