Abstract:
A management system, a smart meter, a server, an operation method and a management method are provided. The management system includes a remote server and at least one smart meter. The smart meter is coupled to the remote server via a communication network. The smart meter measures electrical energy of at least one power line to obtain at least one batch of electricity data. The smart meter detects whether the loading event occurs. If the loading event occurs, the smart meter performs data compression on the electricity data obtained during an event period corresponding to the loading event to obtain compressed data, and uploads the compressed data to the remote server. The remote server performs data decompression on the compressed data to obtain decompressed data. The remote server performs load identification according to the decompressed data.
Abstract:
A method for identifying an electronic apparatus is provided. The method is adapted for a monitor apparatus in a power system, and includes the following steps of adaptively updating a power signature database related to at least one electronic apparatus; adaptively updating a line resistance database related to the monitor apparatus; detecting whether at least one power signature event occurs; calculating a system impedance of the at least one power signature event when the at least one power signature event occurs; and identifying at least one unknown electronic apparatus resulting the at least one power signature event according to the system impedance, the power signature database and the line resistance database.
Abstract:
A management system, a smart meter, a server, an operation method and a management method are provided. The management system includes a remote server and at least one smart meter. The smart meter is coupled to the remote server via a communication network. The smart meter measures electrical energy of at least one power line to obtain at least one batch of electricity data. The smart meter detects whether the loading event occurs. If the loading event occurs, the smart meter performs data compression on the electricity data obtained during an event period corresponding to the loading event to obtain compressed data, and uploads the compressed data to the remote server. The remote server performs data decompression on the compressed data to obtain decompressed data. The remote server performs load identification according to the decompressed data.
Abstract:
A multi-posture stride length calibration system for indoor positioning includes: at least an inertial measurement unit, configured to sense at least a signal; a signal preprocessing unit, connected to the inertial measurement unit to process sensed signal; a multi-posture determination unit, configured to determine at least a posture based on processed signal; a step-computing decision unit, configured to compute a number of steps and a step frequency based on processed signal; a map feature calibration unit, configured to receive the number of steps, step frequency and posture to determined a stride length and decide whether the stride length matching a criterion; a step-computing threshold adjustment unit, configured to adjust a step-computing threshold if stride length not matching the criterion; and a stride length regression unit, configured to update a stride length regression curve for posture based on step frequency and stride length if stride length matching the criterion.
Abstract:
A method for identifying an electric appliance and an apparatus and a system thereof are provided. The method includes the following steps: respectively collecting a first power event on a first phase power and a second power event on a second phase power; when the first power event and/or the second power event are collected, determining whether the first power event and the second power event substantially occur at the same time; if not, identifying an unknown electric appliance as a first type electric appliance; and if yes, determining whether the first power event and the second power event are substantially the same, wherein if yes, identifying the unknown electric appliance as a second type electric appliance, and if no, identifying the unknown electric appliance as the first type electric appliance.
Abstract:
A method for identifying an electronic apparatus is provided. The method is adapted for a monitor apparatus in a power system, and includes the following steps of adaptively updating a power signature database related to at least one electronic apparatus; adaptively updating a line resistance database related to the monitor apparatus; detecting whether at least one power signature event occurs; calculating a system impedance of the at least one power signature event when the at least one power signature event occurs; and identifying at least one unknown electronic apparatus resulting the at least one power signature event according to the system impedance, the power signature database and the line resistance database.
Abstract:
A method for identifying an electric appliance and an apparatus and a system thereof are provided. The method includes the following steps: respectively collecting a first power event on a first phase power and a second power event on a second phase power; when the first power event and/or the second power event are collected, determining whether the first power event and the second power event substantially occur at the same time; if not, identifying an unknown electric appliance as a first type electric appliance; and if yes, determining whether the first power event and the second power event are substantially the same, wherein if yes, identifying the unknown electric appliance as a second type electric appliance, and if no, identifying the unknown electric appliance as the first type electric appliance.