3results about How to "Eliminate delay errors" patented technology

This invention provides a high-precision synchronization and dynamic reconstruction control method and system for time synchronization signals, belonging to the field of time synchronization technology. The invention receives external time synchronization signals and performs level conversion and validity judgment. For valid / invalid scenarios, a weighted fusion algorithm / internal clock self-excitation is used to generate a master time base signal, improving synchronization reliability and accuracy. Based on the master time base signal, a precise timestamp is generated and periodically distributed via multicast messages. Combined with local clock closed-loop compensation and precise delay measurement on the service board, transmission delay is reduced, delay errors are eliminated, and the board and master time base are precisely aligned. The system monitors the time synchronization input source and VPX slot board status in real time, switching to a backup source and recalculating the fusion algorithm for failure scenarios, and dynamically loading time synchronization service logic for hot-swappable devices to achieve dynamic system reconstruction. Finally, a distributed output signal is generated after level conversion and distributed to the terminal, achieving high-precision synchronization and stable and reliable distribution of time synchronization signals under the VPX architecture.

The application belongs to the technical field of geophysical exploration, and particularly relates to a multi-sensor seismic source monitoring system and method, which comprises a central processing unit, which is used for receiving original data with time stamps synchronously collected by each sensor channel, calculating the signal-to-noise ratio of each sensor channel, and dynamically adjusting the gain, sampling rate and filtering parameters according to the signal-to-noise ratio; when the signal-to-noise ratio meets the requirements, the original data are fused into a joint feature vector; and the joint feature vector is output through a one-dimensional convolutional neural network deployed on the central processing unit to output the probability distribution of the seismic source output signal type and the regression estimated intensity value. The application can more comprehensively depict the seismic source characteristics by fusing multi-dimensional information, and improve the identification accuracy.

This invention relates to the field of satellite navigation and intelligent positioning technology, and discloses an indoor positioning method and system based on BeiDou dual-frequency signals. The method receives BeiDou B1I and B1C dual-frequency signals through adaptive signal enhancement and preprocessing, and uses dual-frequency differential carrier phase extraction technology to form ionospherically independent combined observations, eliminating ionospheric delay errors. Multipath interference is identified and suppressed through a statistical feature-based multipath suppression method, and multi-sensor information fusion positioning is achieved by fusing BeiDou dual-frequency observations and IMU inertial data using an extended Kalman filter algorithm. Soft constraints are established using building geometric features to optimize the positioning results, and a multi-dimensional accuracy evaluation model is established to predict positioning accuracy and adaptively output the results. This invention achieves sub-meter positioning accuracy and millisecond-level response time in complex indoor environments, providing an effective solution for indoor positioning technology.