公开(公告)号：US11200352B2

公开(公告)日：2021-12-14

申请号：US16328767

申请日：2017-07-31

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Jennifer F. Schumacher ,  Saber Taghvaeeyan ,  Ronald D. Jesme ,  Andrew P. Bonifas ,  Nicholas G. Amell ,  Brock A. Hable ,  Golshan Golnari

IPC: G06F30/13 ,  G06F30/18 ,  G06F16/901 ,  G06F113/14

Abstract: Systems and methods are provided for optimally determining sensor or infrastructure placement in a fluid network, for determining an anomaly of interest in the fluid network, and for determining sensor coverage in a fluid network, which are based on a model of the fluid network represented by a directed graph.

公开(公告)号：US20210267488A1

公开(公告)日：2021-09-02

申请号：US17252415

申请日：2019-07-01

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Saber Taghvaeeyan ,  Golshan Golnari ,  Mojtaba Kadkhodaie Elyaderani ,  Robert W. Shannon ,  Roger W. Barton ,  Deepti Pachauri

IPC: A61B5/113 ,  A61B5/00

Abstract: Systems and methods for detecting the quality of signals captured by a sensor device monitoring a biological function. Sensor data associated with the sensor device is received, the sensor data representing time-series measurement samples of one or more parameters associated with the biological function, the sensor data including usable and unusable samples of the time-series measurements. Data representing two or more features of samples of the time-series measurements is extracted and filtered to reduce outliers in the extracted data based on an expected outlier ratio. A machine learning algorithm is then trained to identify events based on the filtered extracted data.

公开(公告)号：US10997543B2

公开(公告)日：2021-05-04

申请号：US16400738

申请日：2019-05-01

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Nicholas A. Asendorf ,  Saber Taghvaeeyan ,  Ronald D. Jesme ,  Justin M. Johnson ,  Robert W. Shannon ,  Robert D. Lorentz ,  Andrew H. Tilstra ,  Eric C. Lobner ,  Steven T. Awiszus ,  Glenn E. Casner ,  Kiran S. Kanukurthy

IPC: G06Q10/06 ,  G06F1/16 ,  G06Q30/00 ,  G06Q50/26 ,  H04B1/3827

Abstract: In one example, a system includes one or more personal protective equipment (PPE) devices each configured to be worn by a worker, the PPE devices each including one or more sensors that generate activity data indicative of activities of workers operating within one or more work environments. The system also includes a computing device, the computing device configured to: identify, based at least on the activity data, a plurality of clusters of one or more entities, wherein each entity of the entities is associated with one or more of the workers; and output an indication of a difference between performance by a target entity with respect to safety events and performance by the cluster that includes the target entity with respect to safety events.

公开(公告)号：US12023149B2

公开(公告)日：2024-07-02

申请号：US17252415

申请日：2019-07-01

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Saber Taghvaeeyan ,  Golshan Golnari ,  Mojtaba Kadkhodaie Elyaderani ,  Robert W. Shannon ,  Roger W. Barton ,  Deepti Pachauri

IPC: A61B5/113 ,  A61B5/00

CPC classification number: A61B5/113 ,  A61B5/7225 ,  A61B5/7267 ,  A61B5/7282

Abstract: Systems and methods for detecting the quality of signals captured by a sensor device monitoring a biological function. Sensor data associated with the sensor device is received, the sensor data representing time-series measurement samples of one or more parameters associated with the biological function, the sensor data including usable and unusable samples of the time-series measurements. Data representing two or more features of samples of the time-series measurements is extracted and filtered to reduce outliers in the extracted data based on an expected outlier ratio. A machine learning algorithm is then trained to identify events based on the filtered extracted data.

公开(公告)号：US20210293434A1

公开(公告)日：2021-09-23

申请号：US17339372

申请日：2021-06-04

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Nitsan Ben-Gal Nguyen ,  Saber Taghvaeeyan

IPC: F24F11/39 ,  F24F11/61 ,  F24F11/38 ,  F24F11/63

Abstract: Systems and methods for estimating a replacement status of an air filter in an HVAC system, based on obtaining data correlated with the temperature of air outputted by the HVAC system as a function of time.

公开(公告)号：US20200256910A1

公开(公告)日：2020-08-13

申请号：US16647539

申请日：2018-10-31

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Golshan Golnari ,  Saber Taghvaeeyan ,  Jennifer F. Schumacher

IPC: G01R31/08

Abstract: The present subject matter enables early or real-time detection of anomalies in electric networks. In various applications, the system detects anomalies, such as electricity theft, electricity surge, etc. It solves the difficult-to-detect problems in an electrical network, where anomalies like electricity theft or electrical surge may not be found until it has raised numerous concerns or complaints, or has created a significant impact on infrastructure functionality, service quality, or cost. In addition, the present subject matter decreases the requirement for large number of sensors and provides more cost effective and scalable solutions. The present subject matter provides a method for determining where a detected anomaly is occurring within an electrical network. Variations of the present subject matter include anomaly identification systems for addressing anomalies in large networks. Various applications of the present subject matter provide guidance or effective placement of sensors in the electrical network.

公开(公告)号：US20240127078A1

公开(公告)日：2024-04-18

申请号：US17247518

申请日：2019-07-02

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Mojtaba Kadkhodaie Elyaderani ,  Golshan Golnari ,  Saber Taghvaeeyan ,  Robert W. Shannon ,  Roger W. Barton ,  Deepti Pachauri

IPC: G06N5/022 ,  G16H10/60 ,  G16H40/67 ,  G16H50/70

CPC classification number: G06N5/022 ,  G16H10/60 ,  G16H40/67 ,  G16H50/70

Abstract: Systems and methods for transferring learning in sensor devices. Historical time-series measurement samples of one or more parameters associated with a biological function being monitored by the sensor device are received and assigned to clusters. Feature data extracted from the historical time-series measurement samples are used to generate cluster-specific source-domain classifiers for each cluster. Unlabeled time-series measurement samples of the one or more parameters associated with the biological function are received. A cluster-identifier is assigned to each unlabeled target-domain sample, the cluster-identifier including information identifying a cluster-specific source-domain classifier associated with the unlabeled target-domain sample. Labeled time-series measurement samples of the one or more parameters associated with the biological function are received, feature data is extracted from the labeled samples and cluster-specific target-domain classifiers are generated for each cluster based on the source-domain classifiers and the feature data extracted from the labeled samples.

公开(公告)号：US20210216940A1

公开(公告)日：2021-07-15

申请号：US17301310

申请日：2021-03-31

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Nicholas A. Asendorf ,  Saber Taghvaeeyan ,  Ronald D. Jesme ,  Justin M. Johnson ,  Robert W. Shannon ,  Robert D. Lorentz ,  Andrew H. Tilstra ,  Eric C. Lobner ,  Steven T. Awiszus ,  Glenn E. Casner ,  Kiran S. Kanukurthy

IPC: G06Q10/06 ,  G06F1/16 ,  G06Q30/00 ,  G06Q50/26 ,  H04B1/3827

Abstract: In one example, a system includes one or more personal protective equipment (PPE) devices each configured to be worn by a worker, the PPE devices each including one or more sensors that generate activity data indicative of activities of workers operating within one or more work environments. The system also includes a computing device, the computing device configured to: identify, based at least on the activity data, a plurality of clusters of one or more entities, wherein each entity of the entities is associated with one or more of the workers; and output an indication of a difference between performance by a target entity with respect to safety events and performance by the cluster that includes the target entity with respect to safety events.

公开(公告)号：US11428427B2

公开(公告)日：2022-08-30

申请号：US17339372

申请日：2021-06-04

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Nitsan Ben-Gal Nguyen ,  Saber Taghvaeeyan

IPC: F24F11/39 ,  F24F11/61 ,  F24F11/38 ,  F24F11/63 ,  F24F120/10 ,  F24F11/64 ,  F24F110/10

Abstract: Systems and methods for estimating a replacement status of an air filter in an HVAC system, based on obtaining data correlated with the temperature of air outputted by the HVAC system as a function of time.

公开(公告)号：US20220243943A1

公开(公告)日：2022-08-04

申请号：US17605393

申请日：2020-04-22

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Saber Taghvaeeyan ,  Robert W. Shannon ,  Deepti Pachauri ,  Brian L. Linzie ,  Golshan Golnari ,  Mojtaba Kadkhodaie Elyaderani ,  Nicolas A. Echeverri

IPC: F24F11/39 ,  F24F11/58 ,  F24F11/63 ,  G05B19/042

Abstract: Systems and methods for monitoring the condition of an air filter installed in an HVAC system and for monitoring the condition of the HVAC system. The monitoring system includes a processing unit configured to receive data representative of at least a first temporal parameter of the HVAC system. The processing unit can process the data to obtain an indication of the condition of the air filter and can also process the data to obtain an indication of the condition of the HVAC system.