Abstract: A keyless control device is provided, wherein the first infrared sensor module generates an infrared trigger signal when the earphone is in a wearing state; the Bluetooth controller generates enable signals according to the infrared trigger signal, and the left-ear infrared sensor module generates a first detection signal according to a first enable signal; the right-ear infrared sensor module generates a second detection signal according to the second enable signal; the left-ear acceleration sensor module generates a third detection signal according to the third enable signal when detecting that the left-ear component is knocked; the right-ear acceleration sensor module generates a fourth detection signal according to the fourth enable signal when detecting that the right-ear component is knocked; and finally, the Bluetooth controller performs the functions according to the detection signals.

Abstract: A pilot protection method includes: obtaining time-domain signals data of target element at a preset sampling frequency; fusing time-domain signals data of multiple first sampling periods to obtain first time-domain signals combination data; based on a machine learning model, determining whether a fault occurs in target element according to the first time-domain signals combination data; when it is determined that a fault occurs in target element according to the first time-domain signals combination data, based on the machine learning model, determining whether a fault occurs in target element in the second sampling period according to the second time-domain signals combination data. The second sampling period is the sampling period after determining a fault occurs; when it is determined that the same type of fault occurs in target element in multiple consecutive second sampling periods, the pilot protection system is controlled to perform the protection action on the target element.

Abstract: A pilot protection method includes: obtaining time-domain signals data of target element at a preset sampling frequency; fusing time-domain signals data of multiple first sampling periods to obtain first time-domain signals combination data; based on a machine learning model, determining whether a fault occurs in target element according to the first time-domain signals combination data; when it is determined that a fault occurs in target element according to the first time-domain signals combination data, based on the machine learning model, determining whether a fault occurs in target element in the second sampling period according to the second time-domain signals combination data. The second sampling period is the sampling period after determining a fault occurs; when it is determined that the same type of fault occurs in target element in multiple consecutive second sampling periods, the pilot protection system is controlled to perform the protection action on the target element.

Abstract: Disclosed is a simulation design method for bay layer devices of a smart substation. Application layer modules of two network structures store identity tags of each other's application layer modules respectively, so that a simulation model of the bay layer devices has ports of both network structures and can realize data sharing. The simulation model of the bay layer devices can process SV messages, GOOSE messages and MMS messages simultaneously. An interface layer is additionally configured between an application layer and a data link layer to allow data to be directly mapped to the data link layer from the application layer, so that received or transmitted messages contain actual electrical quantity information. The invention provides model establishment methods of two network structures, thus not only suitable for simulation of the bay layer devices, but also suitable for simulation of station control layer devices and process layer devices.

Abstract: Disclosed is a simulation design method for bay layer devices of a smart substation. Application layer modules of two network structures store identity tags of each other's application layer modules respectively, so that a simulation model of the bay layer devices has ports of both network structures and can realize data sharing. The simulation model of the bay layer devices can process SV messages, GOOSE messages and MMS messages simultaneously. An interface layer is additionally configured between an application layer and a data link layer to allow data to be directly mapped to the data link layer from the application layer, so that received or transmitted messages contain actual electrical quantity information. The invention provides model establishment methods of two network structures, thus not only suitable for simulation of the bay layer devices, but also suitable for simulation of station control layer devices and process layer devices.

Abstract: The disclosure provides a method and device for reliability assessment of a wide area protection system, solving the technical problem that a reliability research result of a current wide area protection system is only limited to reliability research of a communication network thereof, but a reliability analysis model for an overall system does not exist. The method provided by the disclosure includes: S1, acquiring an information acceptance rate d of a wide area monitoring center of a wide area protection system; S2, obtaining the accuracy psf(d) of wide area protection initiation, the accuracy pfz(d) of fault area positioning and the accuracy pfc(d) of fault element recognition according to the information acceptance rate d; and S3, multiplying the accuracy psf(d) of wide area protection initiation, the accuracy pfz(d) of fault area positioning and the accuracy pfc(d) of fault element recognition to obtain the decision accuracy Pdmp of the wide area protection system.

Abstract: The disclosure provides a method and device for reliability assessment of a wide area protection system, solving the technical problem that a reliability research result of a current wide area protection system is only limited to reliability research of a communication network thereof, but a reliability analysis model for an overall system does not exist. The method provided by the disclosure includes: S1, acquiring an information acceptance rate d of a wide area monitoring center of a wide area protection system; S2, obtaining the accuracy psf(d) of wide area protection initiation, the accuracy pfz(d) of fault area positioning and the accuracy pfc(d) of fault element recognition according to the information acceptance rate d; and S3, multiplying the accuracy psf(d) of wide area protection initiation, the accuracy pfz(d) of fault area positioning and the accuracy pfc(d) of fault element recognition to obtain the decision accuracy Pdmp of the wide area protection system.