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1.发明公开公开(公告)号：US20240346458A1
公开(公告)日：2024-10-17
申请号：US18633049
申请日：2024-04-11
发明人： Julie J. Brown , Young M. Lee , Rajiv Ramanasankaran , Sastry KM Malladi , Michael Tenbrock , Levent Tinaz , Samuel A. Girard , David S. Elario , Juliet A. Pagliaro Herman , Miguel Galvez , Trent M. Swanson , John F. Kuchler , Deepak Budhiraja , Daniela M. Natali , Josip Lazarevski , Scott Deering , Gary W. Gavin , Kristen Sheppard-Guzelaydin , James Young , Prashanthi Sudhakar , Kaleb Luedtke , Karl F. Reichenberger , Wenwen Zhao , Adam R. Grabowski , Lauren C. Dern , Nicole A. Madison , Dana S. Petersen , Nevin L. Forry , Pedriant Pena , Ghassan R. Hamoudeh , Ryan G. Danielson
IPC分类号： G06Q10/20 , G06F40/103
CPC分类号： G06Q10/20 , G06F40/103
摘要： A method includes receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing building equipment. The unstructured service report may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include extracting, by the one or more processors, a set of standards from one or more technical documents associated with the building equipment. The method may include automatically generating, by the one or more processors using a generative AI model, a structured service report in the predetermined format for delivery to a customer associated with the building equipment. Generating the structured service report may include standardizing the structured service report to comply with the set of standards extracted from the one or more technical documents associated with the building equipment.
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公开(公告)号：US20240362544A1
公开(公告)日：2024-10-31
申请号：US18759267
申请日：2024-06-28
发明人： Julie J. Brown , Young M. Lee , Rajiv Ramanasankaran , Sastry KM Malladi , Michael Tenbrock , Levent Tinaz , Samuel A. Girard , David S. Elario , Juliet A. Pagliaro Herman , Miguel Galvez , Trent M. Swanson , John F. Kuchler , Deepak Budhiraja , Daniela M. Natali , Josip Lazarevski , Scott Deering , Gary W. Gavin , Kristen Sheppard-Guzelaydin , James Young , Prashanthi Sudhakar , Kaleb Luedtke , Karl F. Reichenberger , Wenwen Zhao , Adam R. Grabowski , Lauren C. Dern , Nicole A. Madison , Dana S. Petersen , Nevin L. Forry , Pedriant Pena , Ghassan R. Hamoudeh , Ryan G. Danielson
CPC分类号： G06N20/00 , G05B23/0243 , G05B23/0275 , G06N3/0475
摘要： A method including training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment. The generative AI model may be trained to predict root causes of a plurality of first problems corresponding to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request for servicing building equipment. The method may include predicting, by the one or more processors using the generative AI model, a root cause of a second problem corresponding to the second service request based on characteristics of the second service request and one or more patterns or trends identified from the plurality of first service requests using the generative AI model.
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公开(公告)号：US20240345560A1
公开(公告)日：2024-10-17
申请号：US18633068
申请日：2024-04-11
发明人： Julie J. Brown , Young M. Lee , Rajiv Ramanasankaran , Sastry KM Malladi , Michael Tenbrock , Levent Tinaz , Samuel A. Girard , David S. Elario , Juliet A. Pagliaro Herman , Miguel Galvez , Trent M. Swanson , John F. Kuchler , Deepak Budhiraja , Daniela M. Natali , Josip Lazarevski , Scott Deering , Gary W. Gavin , Kristen Sheppard-Guzelaydin , James Young , Prashanthi Sudhakar , Kaleb Luedtke , Karl F. Reichenberger , Wenwen Zhao , Adam R. Grabowski , Lauren C. Dern , Nicole A. Madison , Dana S. Petersen , Nevin L. Forry , Pedriant Pena , Ghassan R. Hamoudeh , Ryan G. Danielson
IPC分类号： G05B19/042
CPC分类号： G05B19/042 , G05B2219/2642
摘要： A method includes receiving, by one or more processors, unstructured service data corresponding to one or more service requests handled by technicians for servicing building equipment of a building. The method may include detecting, by the one or more processors, an identifier of the building equipment, a space of the building, or a customer associated with the building using the unstructured service data. The method may include retrieving, by the one or more processors based on the identifier of the building equipment, the space, or the customer, additional data associated with the building equipment, the space, or the customer from one or more additional data sources separate from the unstructured service data. The method may include training, by the one or more processors, a generative AI model using training data including the unstructured service data and the additional data.
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4.发明公开公开(公告)号：US20240346060A1
公开(公告)日：2024-10-17
申请号：US18633024
申请日：2024-04-11
发明人： Julie J. Brown , Young M. Lee , Rajiv Ramanasankaran , Sastry KM Malladi , Michael Tenbrock , Levent Tinaz , Samuel A. Girard , David S. Elario , Juliet A. Pagliaro Herman , Miguel Galvez , Trent M. Swanson , John F. Kuchler , Deepak Budhiraja , Daniela M. Natali , Josip Lazarevski , Scott Deering , Gary W. Gavin , Kristen Sheppard-Guzelaydin , James Young , Prashanthi Sudhakar , Kaleb Luedtke , Karl F. Reichenberger , Wenwen Zhao , Adam R. Grabowski , Lauren C. Dern , Nicole A. Madison , Dana S. Petersen , Nevin L. Forry , Pedriant Pena , Ghassan R. Hamoudeh , Ryan G. Danielson
IPC分类号： G06F16/383 , G06F16/34 , G06Q30/012
CPC分类号： G06F16/383 , G06F16/345 , G06Q30/012
摘要： A method includes receiving, by one or more processors, a plurality of first unstructured service reports corresponding to a plurality of first service requests handled by technicians for servicing building equipment. The plurality of first unstructured service reports may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include training, by the one or more processors, a generative AI model using the plurality of first unstructured service reports. The method may include performing, by the one or more processors using the trained generative AI model, one or more actions with respect a second service request subsequent to training the generative AI model.
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5.发明公开公开(公告)号：US20240346611A1
公开(公告)日：2024-10-17
申请号：US18633040
申请日：2024-04-11
发明人： Julie J. Brown , Young M. Lee , Rajiv Ramanasankaran , Sastry KM Malladi , Michael Tenbrock , Levent Tinaz , Samuel A. Girard , David S. Elario , Juliet A. Pagliaro Herman , Miguel Galvez , Trent M. Swanson , John F. Kuchler , Deepak Budhiraja , Daniela M. Natali , Josip Lazarevski , Scott Deering , Gary W. Gavin , Kristen Sheppard-Guzelaydin , James Young , Prashanthi Sudhakar , Kaleb Luedtke , Karl F. Reichenberger , Wenwen Zhao , Adam R. Grabowski , Lauren C. Dern , Nicole A. Madison , Dana S. Petersen , Nevin L. Forry , Pedriant Pena , Ghassan R. Hamoudeh , Ryan G. Danielson
IPC分类号： G06Q50/163
CPC分类号： G06Q50/163
摘要： A method includes receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing building equipment. The unstructured service report may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include automatically generating, by the one or more processors using a generative AI model, a structured service report in the predetermined format for delivery to a customer associated with the building equipment. The structured service report may include additional content generated by the generative AI model and not provided within the unstructured service report.
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6.发明公开公开(公告)号：US20240346459A1
公开(公告)日：2024-10-17
申请号：US18633086
申请日：2024-04-11
发明人： Julie J. Brown , Young M. Lee , Rajiv Ramanasankaran , Sastry KM Malladi , Michael Tenbrock , Levent Tinaz , Samuel A. Girard , David S. Elario , Juliet A. Pagliaro Herman , Miguel Galvez , Trent M. Swanson , John F. Kuchler , Deepak Budhiraja , Daniela M. Natali , Josip Lazarevski , Scott Deering , Gary W. Gavin , Kristen Sheppard-Guzelaydin , James Young , Prashanthi Sudhakar , Kaleb Luedtke , Karl F. Reichenberger , Wenwen Zhao , Adam R. Grabowski , Lauren C. Dern , Nicole A. Madison , Dana S. Petersen , Nevin L. Forry , Pedriant Pena , Ghassan R. Hamoudeh , Ryan G. Danielson
IPC分类号： G06Q10/20 , G06Q10/0631
CPC分类号： G06Q10/20 , G06Q10/0631
摘要： A method includes training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment and outcome data indicating outcomes of the plurality of first service requests. The generative AI model may be trained to identify one or more patterns or trends between characteristics of the plurality of first service requests and the outcomes of the plurality of first service requests. The method may include receiving a second service request for servicing building equipment. The method may include automatically determining, using the generative AI model, one or more responses to the second service request based on characteristics of the second service request and the one or more patterns or trends between the characteristics of the plurality of first service requests and the outcomes of the plurality of first service requests identified using the generative AI model.
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公开(公告)号：US20240346311A1
公开(公告)日：2024-10-17
申请号：US18633097
申请日：2024-04-11
发明人： Julie J. Brown , Young M. Lee , Rajiv Ramanasankaran , Sastry KM Malladi , Michael Tenbrock , Levent Tinaz , Samuel A. Girard , David S. Elario , Juliet A. Pagliaro Herman , Miguel Galvez , Trent M. Swanson , John F. Kuchler , Deepak Budhiraja , Daniela M. Natali , Josip Lazarevski , Scott Deering , Gary W. Gavin , Kristen Sheppard-Guzelaydin , James Young , Prashanthi Sudhakar , Kaleb Luedtke , Karl F. Reichenberger , Wenwen Zhao , Adam R. Grabowski , Lauren C. Dern , Nicole A. Madison , Dana S. Petersen , Nevin L. Forry , Pedriant Pena , Ghassan R. Hamoudeh , Ryan G. Danielson
IPC分类号： G06N3/08
CPC分类号： G06N3/08
摘要： A method includes training, by one or more processors, a generative AI model using training data including a plurality of first service requests indicating a plurality of first problems associated with building equipment and a plurality of first actions performed in response to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request indicating a second problem associated with building equipment. The method may include automatically determining, by the one or more processors using the generative AI model, one or more second actions to perform based on characteristics of the second service request. The method may include automatically initiating, by the one or more processors, the one or more second actions to address the second problem associated with the building equipment.
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