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公开(公告)号:US12009660B1
公开(公告)日:2024-06-11
申请号:US18350623
申请日:2023-07-11
申请人: T-Mobile USA, Inc.
发明人: Sean Seemann , John Coster
IPC分类号: H02J3/00
CPC分类号: H02J3/004 , H02J2203/20
摘要: Described herein is a capacity system that predicts capacity needs of a system. The capacity system captures outputs from meters coupled to subsystems within the system, where the outputs are not expressed in standard power units. For each subsystem, the capacity system determines values for a set of conversion factors related to the subsystem. The conversion factors describe the design and operation of the subsystem. The capacity system converts the outputs to standard power units based on the set of conversion factors and simulates behavior of the subsystems based on trends shown by the converted outputs. The capacity system forecasts an expected capacity of the system over a time period and uses the forecast to predict a date during the time period when the subsystem will experience a reduction in capacity.
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公开(公告)号:US11899516B1
公开(公告)日:2024-02-13
申请号:US18352053
申请日:2023-07-13
申请人: T-Mobile USA, Inc.
发明人: Sean Seemann
摘要: Introduced herein is a computer-implemented system for creating a digital twin of an electrical system using auto-discovery techniques. The system receives power data from meters in an electrical system. For each meter, the system captures a power profile related to a component connected to the meter and creates a set of delta data representing change in power over time. The system detects correlated changes by comparing the sets of delta data and generates a system dataset by combining the sets of delta data. The system detects echoes of power fluctuations of the electrical system from the system dataset. The system creates a digital twin of the electrical system, where the digital twin includes a one-line diagram representing connections between components in the electrical system.
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公开(公告)号:US12130683B1
公开(公告)日:2024-10-29
申请号:US18438062
申请日:2024-02-09
申请人: T-Mobile USA, Inc.
发明人: Sean Seemann , John Coster
摘要: Introduced herein is a computer-implemented system for creating a digital twin of an electrical system using auto-discovery techniques. The system receives power data from meters in an electrical system. For each meter, the system captures a power profile related to a component connected to the meter and creates a set of delta data representing change in power over time. The system detects correlated changes by comparing the sets of delta data and generates a system dataset by combining the sets of delta data. The system detects echoes of power fluctuations of the electrical system from the system dataset and creates a digital twin of the electrical system.
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公开(公告)号:US20230117824A1
公开(公告)日:2023-04-20
申请号:US17502601
申请日:2021-10-15
申请人: T-Mobile USA, Inc.
发明人: John Coster , Anand Kumar Subramaniam , Sean Seemann , Shalini Selvaraj , Burhan Nurdin , Mohammad Bari , Karthik Kandukoori
摘要: A simulator extracts sensor data from multiple systems. The sensor data includes measurements taken by sensors disposed at the multiple systems. The simulator standardizes the sensor data into a common format and classifies the sensor data according to a performance metric. A model of a target system for the performance metric is generated based on the standardized sensor data. The simulator can simulate the impact on the performance metric for a target system based on a simulated change to the multiple systems. The simulator can generate a network interface including a tool that enables end users to interact with the simulation and to determine procedures for mitigating the impact.
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