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公开(公告)号:US20240340217A1
公开(公告)日:2024-10-10
申请号:US18703563
申请日:2022-12-12
申请人: Elisa Oyj
发明人: Henri KARIKALLIO
IPC分类号: H04L41/0631 , G16Y40/20 , H04L41/0681 , H04L41/16 , H04L41/5074
CPC分类号: H04L41/0631 , H04L41/0681 , H04L41/16 , H04L41/5074 , G16Y40/20
摘要: A method for optimizing fault detection in an Internet of Things (IoT) network includes determining a fault activity associated with an IoT device in IoT network; identifying a location information of IoT device; determining whether fault activity is associated with a mobile network corresponding to the location information; performing one of an automation activity of generating a service ticket for fault correction of mobile network, when fault activity is associated with mobile network, or generating a field service ticket for fault correction of the IoT device, when fault activity is not associated with mobile network. Disclosed also is a system for optimizing fault detection in an IoT network, system comprising a processor configured to perform the steps of the aforementioned method.
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公开(公告)号:US12063274B2
公开(公告)日:2024-08-13
申请号:US17170615
申请日:2021-02-08
发明人: Erik S. Paulson , Ambuj Shatdal , ZhongYi Jin , Chenlu Zhang , Youngchoon Park
IPC分类号: H04L67/12 , G05B15/02 , G05B17/02 , G06F3/04815 , G06F16/21 , G06F16/28 , G06F16/901 , G06F16/9038 , G06F18/213 , G06F18/214 , G06F18/23 , G06F30/13 , G06N3/08 , G06N20/00 , G16Y30/00 , G16Y40/20 , G16Y40/35
CPC分类号: H04L67/12 , G05B15/02 , G05B17/02 , G06F3/04815 , G06F16/219 , G06F16/285 , G06F16/9024 , G06F16/9038 , G06F18/213 , G06F18/214 , G06F18/23 , G06F30/13 , G06N3/08 , G06N20/00 , G16Y30/00 , G16Y40/20 , G16Y40/35
摘要: A method for generating a graph data structure comprises receiving, by one or more processors, data associated with a building, generating one or more space nodes in the graph data structure corresponding to spaces within the building based on the data, generating one or more asset nodes in the graph data structure corresponding to assets within the building based on the data, associating sensor data with the one or more asset nodes based on the data, classifying the sensor data based on the data, and generating a relationship between at least two of the one or more space nodes, the one or more asset nodes, and the classified sensor data.
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公开(公告)号:US11941506B2
公开(公告)日:2024-03-26
申请号:US17166553
申请日:2021-02-03
申请人: Hubbell Incorporated
发明人: Paul Robert Langdon
摘要: A system and method for determining abnormal conditions based on signals received from smart devices. The method includes receiving, via a controller and transmitted via one or more devices, one or more first signals indicative of one or more first statuses of the one or more devices. The method includes determining, via the controller and based on the one or more first statuses, a base model. The method includes receiving, via the controller and transmitted via the one or more devices, one or more second signals indicative of one or more second statuses of the one or more devices. The method includes comparing, via the controller, the one or more statuses to the base model and determining, via the controller and based on the comparison, an occurrence of an abnormal condition.
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公开(公告)号:US20240048620A1
公开(公告)日:2024-02-08
申请号:US18362348
申请日:2023-07-31
发明人: Dominik Gothe
IPC分类号: H04L67/125 , H04L67/10 , G16Y40/20 , G16Y40/30
CPC分类号: H04L67/125 , H04L67/10 , G16Y40/20 , G16Y40/30
摘要: An asset management system includes an asset management network that connects various types of refrigeration appliances to an asset manager. At the device layer, IOT devices are connected to the refrigeration appliances and have edge compute capability, including a backup power management function, and a modem for network communication. IOT device ports directly integrate with sensors, switches, and/or serial data controllers of refrigeration appliances. Push notification alarms are initiated on the edge of the network by IOT devices. The network tags operating data by appliance serial, and the asset manager stores the data using serial numbers as primary keys. The asset manager streams data from numerous appliances and uses event driven processing to promptly respond to edge alarms. The operating data keyed by serial number is enriched with proprietary data organized by appliance type and is used to develop new predictive models by appliance type.
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公开(公告)号:US11870873B2
公开(公告)日:2024-01-09
申请号:US16973496
申请日:2019-06-21
发明人: William Robert Flynn, IV , Dale N. Seed , Catalina Mihaela Mladin , Quang Ly , Zhuo Chen , Lu Liu , Jiwan L. Ninglekhu , Michael F. Starsinic
摘要: Methods, systems, and apparatuses that enable a Service Layer (SL) to support analysis of internet of things (IoT) data and enable shared access to information generated by the analysis. An analytics management service may allow SL entities to configure analytics functions for many different IoT sources of data and organize the results in a customizable manner. The SL may support coordinating the analysis of IoT data from multiple independent sources and organizing the results of the analysis.
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公开(公告)号:US11792266B2
公开(公告)日:2023-10-17
申请号:US17487239
申请日:2021-09-28
发明人: Dae Seong Kim , David Hu , Sean Jones , Steven Bedell , Stephen Dotolo , Sundararaj Arunachalam
摘要: A computer-implemented method, system, and a computer program product for delivering a shoulder-tap to one or more battery-constrained devices are disclosed. The computer-implemented method includes receiving a shoulder-tap request; storing the shoulder-tap request in a database; retrieving last known network session information for the one or more battery-constrained devices; calculating shoulder-tap beacon frequency for each of the one or more battery-constrained devices; creating a shoulder-tap beacon for each of the one or more battery-constrained devices; and sending the shoulder-tap beacon to the destination IP address for each of the one or more battery-constrained devices in the calculated shoulder-tap beacon frequency.
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公开(公告)号:US20230300195A1
公开(公告)日:2023-09-21
申请号:US18125954
申请日:2023-03-24
发明人: Abhishek Sharma , Sastry KM Malladi
CPC分类号: H04L67/12 , G06N5/04 , G06N20/00 , H04L67/34 , G16Y40/20 , G06F18/251 , G06F18/2148
摘要: An edge computing platform with machine learning capability is provided between a local network with a plurality of sensors and a remote network. A machine learning model is created and trained in the remote network using aggregated sensor data and deployed to the edge platform. Before being deployed, the model is edge-converted (“edge-ified”) to run optimally with the constrained resources of the edge device and with the same or better level of accuracy. The “edge-ified” model is adapted to operate on continuous streams of sensor data in real-time and produce inferences. The inferences can be used to determine actions to take in the local network without communication to the remote network. A closed-loop arrangement between the edge platform and remote network provides for periodically evaluating and iteratively updating the edge-based model.
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公开(公告)号:US11726891B1
公开(公告)日:2023-08-15
申请号:US18050150
申请日:2022-10-27
申请人: Aimcast IP, LLC
发明人: Matan Arazi
CPC分类号: G06F11/3089 , G06F11/3065 , G06F11/321 , G06F11/324 , G06F18/295 , G16Y20/20 , G16Y40/20
摘要: The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.
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9.
公开(公告)号:US20230230018A1
公开(公告)日:2023-07-20
申请号:US18190161
申请日:2023-03-27
发明人: Zehua SHAO , Bin LIU , Guanghua HUANG , Lei ZHANG
摘要: The present disclosure provides methods and Internet of Things (IoT) systems for gas repair-reporting management based on a call center of smart gas. The method includes obtaining historical gas use data and historical gas repair-reporting data; generating, based on the historical gas use data and the historical gas repair-reporting data, first gas repair-reporting areas; generating, at least based on the historical gas use data and the historical gas repair-reporting data of the first gas repair-reporting areas, future gas repair-reporting data of the first gas repair-reporting areas; generating, based on the first gas repair-reporting areas and the future gas repair-reporting data of the first gas repair-reporting areas, second gas repair-reporting areas and future gas repair-reporting data corresponding to the second gas repair-reporting areas; and generating, based on the future gas repair-reporting data of the second gas repair-reporting areas, a maintenance personnel arrangement plan.
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公开(公告)号:US11662222B2
公开(公告)日:2023-05-30
申请号:US17740599
申请日:2022-05-10
申请人: Intel Corporation
发明人: Kshitij Arun Doshi , Tao Zhong , Gang Yi Deng , Zhongyan Lu
摘要: A system and method for managing sensors including determining health operation states of the sensors correlative with sensor accuracy, classifying the sensors by their respective health operation state, and teaming two sensors each having a health operation state that is intermediate to give a team having a health operation state that is healthy. The sampling frequency of the sensors to determine sensor accuracy may be dynamic.
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