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公开(公告)号：US20230202495A1
公开(公告)日：2023-06-29
申请号：US17564063
申请日：2021-12-28
Applicant: Blue River Technology Inc.
Inventor： John William Peake , James Patrick Ostrowski , Erik Ehn , Kent Michael Anderson , Benjamin Ray Chostner
IPC: B60W50/035 , G06T7/00 , B60W50/02 , G07C5/08
CPC classification number: B60W50/035 , G06T7/0004 , B60W50/0205 , G07C5/085 , G06T2207/30164 , B60W2420/42 , B60W2300/15
Abstract: As a farming machine travels through a field of plants, the farming machine operates in a normal operational state to perform one or more farming operations. The farming machine detects an operational failure of a component of the farming machine using measurements obtained from one or more sensors coupled to and monitoring the farming machine. The operational failure of the component impacts performance of a first farming operation of the farming operations. The farming machine configures the farming machine to operate in a remedial operational state. In the remedial operational state, the farming machine diagnoses the operational failure of the component using the obtained measurements. In the remedial operational state, the farming machine selects a solution operation to address the operational failure of the component based on the diagnosis. The farming machine performs the determined solution operation.
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公开(公告)号：US11926333B2
公开(公告)日：2024-03-12
申请号：US17564063
申请日：2021-12-28
Applicant: Blue River Technology Inc.
Inventor： John William Peake , James Patrick Ostrowski , Erik Ehn , Kent Michael Anderson , Benjamin Ray Chostner
IPC: B60W50/035 , B60W50/02 , G06T7/00 , G07C5/08
CPC classification number: B60W50/035 , B60W50/0205 , G06T7/0004 , G07C5/085 , B60W2300/15 , B60W2420/42 , G06T2207/30164
Abstract: As a farming machine travels through a field of plants, the farming machine operates in a normal operational state to perform one or more farming operations. The farming machine detects an operational failure of a component of the farming machine using measurements obtained from one or more sensors coupled to and monitoring the farming machine. The operational failure of the component impacts performance of a first farming operation of the farming operations. The farming machine configures the farming machine to operate in a remedial operational state. In the remedial operational state, the farming machine diagnoses the operational failure of the component using the obtained measurements. In the remedial operational state, the farming machine selects a solution operation to address the operational failure of the component based on the diagnosis. The farming machine performs the determined solution operation.
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Patent Agency Ranking
公开(公告)号：US20230200286A1
公开(公告)日：2023-06-29
申请号：US17564068
申请日：2021-12-28
Applicant: Blue River Technology Inc.
Inventor： John William Peake , James Patrick Ostrowski , Erik Ehn , Kent Michael Anderson , Benjamin Ray Chostner
IPC: A01B79/00
CPC classification number: A01B79/005
Abstract: As a farming machine travels through a field of plants, the farming machine operates in a normal operational state to perform one or more farming operations. The farming machine detects an operational failure of a component of the farming machine using measurements obtained from one or more sensors coupled to and monitoring the farming machine. The operational failure of the component impacts performance of a first farming operation of the farming operations. The farming machine configures the farming machine to operate in a remedial operational state. In the remedial operational state, the farming machine diagnoses the operational failure of the component using the obtained measurements. In the remedial operational state, the farming machine selects a solution operation to address the operational failure of the component based on the diagnosis. The farming machine performs the determined solution operation.
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公开(公告)号：US20230403988A1
公开(公告)日：2023-12-21
申请号：US17840856
申请日：2022-06-15
Applicant: Blue River Technology Inc.
Inventor： James Patrick Ostrowski , Benjamin Ray Chostner , Kent Michael Anderson , Erik Ehn , William Louis Patzoldt
CPC classification number: A01G7/06 , A01M7/0089 , A01C21/005
Abstract: A farming machine is configured to autonomously operate in a field to accomplish a farming objective. While doing so the farming machine can dynamically modify treatment plans and/or generate experimental treatment plans. Dynamically modifying treatment plans includes modifying, delaying, accelerating, adding, and/or removing farming actions in a treatment plan. Generating an experimental treatment plan includes intentionally modifying a treatment plan to induce a variance in a result, measuring the result, and determining whether the result from the experimental treatment plan is better than the unmodified treatment plan. The farming machine is also configured to generate user interactable feedback, and receive user generated instruction, to dynamically modify treatment plans and/or generate experimental treatment plans.
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公开(公告)号：US20230205195A1
公开(公告)日：2023-06-29
申请号：US17564076
申请日：2021-12-28
Applicant: Blue River Technology Inc.
Inventor： John William Peake , James Patrick Ostrowski , Erik Ehn , Kent Michael Anderson , Benjamin Ray Chostner
IPC: G05B23/02
CPC classification number: G05B23/0283 , G05B23/024 , G05B23/0235 , G05B2223/04
Abstract: As a farming machine travels through a field of plants, the farming machine operates in a normal operational state to perform one or more farming operations. The farming machine detects an operational failure of a component of the farming machine using measurements obtained from one or more sensors coupled to and monitoring the farming machine. The operational failure of the component impacts performance of a first farming operation of the farming operations. The farming machine configures the farming machine to operate in a remedial operational state. In the remedial operational state, the farming machine diagnoses the operational failure of the component using the obtained measurements. In the remedial operational state, the farming machine selects a solution operation to address the operational failure of the component based on the diagnosis. The farming machine performs the determined solution operation.
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公开(公告)号：US11510404B2
公开(公告)日：2022-11-29
申请号：US16420169
申请日：2019-05-23
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Erik Ehn , James Michael Fleming
Abstract: A boom sprayer includes any number of components to treat plants as the boom sprayer travels through a plant field. The components take actions to treat plants or facilitate treating plants. The boom sprayer includes any number of sensors to measure the state of the boom sprayer as the boom sprayer treats plants. The boom sprayer includes a control system to generate actions for the components to treat plants in the field. The control system includes an agent executing a model that functions to improve the performance of the boom sprayer treating plants. Performance improvement can be measured by the sensors of the boom sprayer. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.
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公开(公告)号：US20180271015A1
公开(公告)日：2018-09-27
申请号：US15927980
申请日：2018-03-21
Applicant: Blue River Technology Inc.
Inventor： Lee Kamp Redden , Wentao Yu , Erik Ehn , James Michael Fleming
IPC: A01D41/127 , G05B13/02
CPC classification number: A01D41/127 , A01D45/02 , A01D45/04 , A01D45/30 , G05B13/027 , G06N3/006 , G06N3/0454 , G06N3/08 , G06N7/005
Abstract: A combine harvester (combine) includes any number of components to harvest plants as the combine travels through a plant field. The components take actions to harvest plants or facilitate harvesting plants. The combine includes any number of sensors to measure the state of the combine as the combine harvests plants. The combine includes a control system to generate actions for the components to harvest plants in the field. The control system includes an agent executing a model that functions to improve the performance of the combine harvesting plants. Performance improvement can be measured by the sensors of the combine. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.
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