9results about How to "Improve time synchronization accuracy" patented technology

The invention belongs to the technical field of data center network and clock synchronization, and discloses a dynamic time synchronization path optimization method and system based on topology awareness. The invention provides a closed-loop framework of state awareness-path optimization-resource assurance-dynamic adjustment and optimization: in the first stage, network topology, link load and PTP message performance data are periodically acquired through an SDN controller, and a global state view is constructed; in the second stage, the optimal path is dynamically calculated for the PTP synchronous flow through a multi-constraint optimization algorithm with the purpose of minimizing transmission delay jitter, and deterministic transmission is achieved in combination with bandwidth reservation and a priority queue; and meanwhile, a seamless switching mechanism of building first and disassembling second is introduced to adapt to the network state change in real time. On the basis of multiplexing existing hardware, the time synchronization error is remarkably reduced, the transmission stability and the dynamic adaptability are improved, microsecond-level time synchronization can be efficiently achieved, and the method is suitable for high-precision service scenes.

The invention discloses an automobile cabin software control method and system based on multi-mode interaction, and relates to the field of multi-mode data, and the method comprises the steps: S1, multi-source signal synchronous collection and timestamp calibration; a user voice instruction, a gesture track and eye fixation point information are collected in real time through a distributed sensor array; according to sensor data, a three-level synchronization architecture is combined with a PTP precise time protocol to achieve microsecond-level clock synchronization, a unified time service timestamp is embedded in a data packet header, and the timestamp error is controlled within + / -0.5 ms; s2, dynamic environment interference compensation; the method comprises the following steps: constructing an environmental noise perception model; the construction of the environmental noise perception model comprises the following steps: starting a regional strong light suppression algorithm for a strong light scene with the illumination intensity greater than 10,000 lux; activating a motion compensation module for a bumpy scene with a vertical acceleration greater than 0.3 g, and outputting an environment compensation multi-modal data stream; s3, analyzing time-space association semantics; and S4, confidence decision and instruction execution.

The application provides a time synchronization system and method based on a TDMA system wireless network virtual-real joint simulation, which comprises a physical network and a virtual network simulation system, time synchronization between multiple physical nodes of the physical network is completed through radio frequency signals, and wireless communication of the TDMA system is adopted; one of the physical nodes is a gateway node, the gateway node is provided with a first interface and a second interface, the first interface is used for generating a time slot pulse signal, and the second interface is used for generating a time slot numerical signal; the virtual network simulation system communicates with the physical network, and the virtual physical network system is provided with a third interface for receiving the time slot pulse signal and a fourth interface for receiving the time slot numerical signal; wherein the time slot pulse signal carries synchronization interrupt information, the time slot numerical signal carries time slot time information, and the virtual network simulation system realizes time synchronization with the physical network through the time slot pulse signal and the time slot numerical signal. The application has high time synchronization precision and low resource consumption.

The invention provides a multi-sensor original data synchronous acquisition system and method, and the system comprises a configuration management module which is used for analyzing a sensor configuration file; the acquisition processing unit is used for dynamically instantiating the sensor according to the analyzed sensor configuration file; and the time synchronization module is used for generating a nanosecond timestamp and carrying out time synchronization on the collected original data of the sensor. According to the technical scheme, various protocol sensors are compatible, and meanwhile the fidelity of collected data and the time synchronization precision are improved.

The invention relates to the technical field of distribution network operation and maintenance management, and discloses a distribution network operation and maintenance management method and system based on multi-dimensional intelligent perception, and the method comprises the steps: constructing a distributed cooperative sampling perception architecture, collecting distribution network operation and maintenance data through multiple types of sensors, and carrying out the space-time alignment compensation of the distribution network operation and maintenance data through combining with a digital twin space-time coordinate system; establishing an electromagnetic interference self-adaptive filtering architecture to filter interference data, performing equipment characteristic decoupling of equipment type adaptation, performing decoding at a cloud side after encoding, and reconstructing an equipment core operation state; constructing a three-dimensional topological twin body of the distribution network, establishing a health assessment model to predict a degradation track, calculating a fault risk entropy, and substituting the fault risk entropy into a corrected life prediction result; constructing an operation and maintenance decision space in combination with the fault risk entropy and the distribution network three-dimensional topological twin state, and solving an optimal decision; and injecting the decision into the distribution network three-dimensional topology twinborn simulation verification security constraint, evaluating the fault risk entropy change, and feeding back and updating the health evaluation model and the decision engine.

This invention discloses an algorithm for improving time synchronization accuracy in a master-slave network topology. The algorithm comprises the following steps: S1, establishing a master-slave network topology; S2, exchanging messages to obtain four timestamps and calculating the master-slave clock offset and average link delay, sending an Optimize_Req message to the master clock; S3, selecting the optimal master-slave clock offset from multiple offsets and calculating the asymmetric link delay ratio for each synchronization; S4, if the current link delay is approximately symmetrical, the master-slave clock offset is used to update the slave clock; S5, if the current link delay is asymmetric, the clock offset estimate is obtained using the maximum likelihood estimation algorithm, and an Optimize_Resp message is sent to the slave clock to update it. This invention improves the PTP time synchronization protocol by using the above algorithm, adding two message transmissions. The master clock receives the synchronization results from multiple slave clocks, further performs filtering and optimization, and then sends the updated results to the slave clocks, allowing the slave clocks to adjust themselves.

The invention relates to a synchronous control system and method for a galvanometer and a linear array camera based on an FPGA (Field Programmable Gate Array). The method comprises the following steps of: 1, generating a unified clock for a galvanometer driving signal and a linear array camera triggering signal; 2, generating a galvanometer driving signal through a galvanometer scanning signal generation module; 3, corresponding data are generated through a camera trigger signal generation module, and linear array camera trigger signals are generated through a high-precision DAC module; 4, uniformly adjusting the pulse width, the period length and the relative phase of the galvanometer driving signal and the linear array camera triggering signal through the clock period count value; 5, compensating and correcting the output delay of the linear array camera trigger signal or the phase offset of the galvanometer drive signal; and step 6, outputting a galvanometer driving signal and a camera triggering signal at the same time through an FPGA output driving module, and realizing high-precision time sequence synchronization of galvanometer scanning and linear array camera acquisition. According to the invention, high-precision synchronization between galvanometer scanning and linear array camera acquisition is realized.

This invention discloses a method and apparatus for transformer fault detection based on sound signals. The method includes: acquiring a target sound signal and a leakage flux signal of the transformer; determining the phase deviation between the target sound signal and the leakage flux signal based on the fundamental frequency of the target sound signal and the fundamental frequency of the leakage flux signal; determining the frequency coupling relationship between the leakage flux signal and the target sound signal; extracting the time-frequency features of the target sound signal; and determining the transformer fault detection result based on the phase deviation, frequency coupling relationship, and time-frequency features. This invention solves the technical problem of inaccurate fault detection in related technologies when using sound signals to detect transformer faults.