6 results about "Time signal" patented technology

A first A/D converter converts an analog observed value, which corresponds to a power supply signal supplied to a power supply terminal of a DUT, into a digital observed value. By means of digital calculation processing, a digital signal processing circuit generates a control value that is adjusted such that the digital observed value matches a predetermined reference value. A first D/A converter supplies, via a power supply line to the power supply terminal of the DUT, an analog power supply signal obtained by performing digital/analog conversion of the control value. A load estimating unit applies a test signal containing a predetermined frequency component via the power supply line to a node via which the power supply terminal is to be connected, and generates a control parameter for the digital signal processing circuit according to the test signal and the observed signal.

The invention discloses a fire detection method, device and equipment based on a neural network, and a storage medium. The method comprises the following steps: obtaining incident light signals of a plurality of training light sources; performing signal processing and analysis on the incident light signal of each training light source to obtain a spectral signal parameter, a time signal parameterand a space signal parameter of each training light source; establishing a training data set according to the spectral signal parameters, the time signal parameters and the space signal parameters ofthe training light source, and constructing a neural network model for fire detection according to the training data set; determining output parameters of a light source of the to-be-detected site according to the neural network model, and determining whether a fire occurs in the to-be-detected site according to the output parameters. According to the fire detection method provided by the embodiment of the invention, the neural network model is optimized by training the characteristic parameters of the light source, and the neural network model is used for fire identification, so the identification algorithm is simple, the data processing amount is small, the fire detection response speed is high, and the accuracy is high.

The invention relates to the field of avionics system time synchronization methods, in particular to an avionics integrated test time synchronization system based on a satellite simulator and a synchronization method thereof.The system comprises a multi-system satellite navigation simulator, a satellite navigation antenna, an anti-interference processor, a comprehensive task processor and testing and excitation/simulation equipment; the method comprises the following specific steps: S1, a time frequency module of the multi-system satellite navigation simulator receives external clock input; s2, outputting a 1PPS (pulse per second) signal; s3, the anti-interference processor transmits the time signal to a comprehensive task processor in a second pulse signal or high-speed RS-422 data form; s4, the comprehensive task processor transmits the time signal to the airborne avionics equipment through the FC optical fiber bus and the GJB289A bus; time synchronization between avionics system products, between joint test environment devices and between products and devices is achieved, and timeliness of information interaction and software scheduling and synchronism of data recording are effectively guaranteed.

The invention discloses a device state monitoring terminal, system and method based on perception hash. The device state monitoring terminal receives a classifier trained by a cloud computing server by using a historical device state hash code; the device state monitoring terminal collects a real-time signal of the device state; the device state monitoring terminal converts the collected real-timesignal of the device state into a real-time device state hash code by using a perception hash algorithm; the device state monitoring terminal sends the real-time device state hash code to the cloud computing server, and the cloud computing server performs accumulative storage on the received real-time device state hash code and uses the real-time device state hash code as the historical device state hash code; and the device state monitoring terminal classifies the real-time device state hash code and outputs the device state. The dimension of data transmitted in the device state monitoringis reduced, the occupation of network bandwidth and server storage resources is reduced, the computing burden of the cloud computing server is reduced, and in-depth mining of device state informationis achieved.