5 results about "Fuzzy vector" patented technology

The invention relates to the technical field of vehicle communication, and discloses a vehicle communication control method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting a current speed contradictory index, a current space overlapping degree and a current environment complexity, and carrying out the calculation of the current speed contradictory index, performing fuzzification processing on the current space overlapping degree and the current environment complexity respectively to obtain fuzzy vectors corresponding to the current moments respectively; according to all the fuzzy vectors and a preset emergency degree table, determining trigger intensity and sub-emergency degree values under each emergency condition; determining a current emergency degree value according to the trigger intensity and the sub-emergency degree value under each emergency condition; and determining a current communication strategy according to the current emergency degree value, and controlling vehicle communication according to the current communication strategy. According to the invention, the current communication strategy adapted to control the vehicle communication in the current scene can be determined, the communication redundancy can be avoided while the vehicle communication requirement is met, and the effect of flexibly adjusting the vehicle communication strategy is realized.

The invention provides a steam turbine fault symptom identification method based on fuzzy vector mapping and independent element space reconstruction, relates to the field of steam turbine fault diagnosis, and aims to solve the problems that normal working conditions and fault features are difficult to distinguish and the non-linear and non-stationary signal processing capacity is weak in a traditional vibration analysis method, an oil analysis method and an independent element analysis method. The method comprises the following steps: collecting multivariable sensor data of a steam turbine in a normal state for preprocessing; establishing an initial independent element analysis model; a fuzzy observation vector is constructed by using a Gaussian membership function, and the influence of large-amplitude normal fluctuation is weakened; performing dynamic reconstruction in an independent element space through the hybrid matrix, and calculating a residual vector; and constructing a square prediction error statistic based on the residual vector to carry out fault judgment. According to the method, the problem of order and amplitude uncertainty in independent component analysis is effectively solved, the recognition accuracy of the early weak fault of the steam turbine is remarkably improved, and reliable technical guarantee is provided for safe and stable operation of a power system.

The present invention discloses a vehicle formation driving control method for defending against eavesdropping attacks, belonging to the field of vehicle network security technology. During the wireless transmission process of the formation vehicles, a designed fuzzy vector is introduced to effectively protect the state privacy and complete the formation control task at the same time. The method comprises the following steps: determining the lead vehicle and the following vehicle, and then determining the network topology; the lead vehicle randomly generates a fuzzy vector that meets the conditions, and transmits the false state to the following vehicle according to the formation control communication protocol; the following vehicle designs a noise vector and receives the fuzzy vector transmitted by the lead vehicle, and when communicating with the front and rear adjacent vehicles, transmits its own false state according to the designed formation control communication protocol; constructs a second-order dynamic model of the lead vehicle and the following vehicle, designs the control input based on the formation control communication protocol, and completes the formation control. The present invention has the advantages of simple operation, low computational complexity, and strong real-time performance.

The application relates to the field of satellite navigation and timing technology, in particular to a Beidou and INS (inertial navigation system) fused real-time high-precision timing method, which comprises the following steps: generating pseudo-range residuals and code-minus-carrier based on Beidou satellite signals, and generating satellite channel fuzzy vectors by applying fuzzy reasoning; performing spatial clustering based on the multi-dimensional features of satellite signals, and configuring parallel sub-filters for satellite clusters; the sub-filters utilize satellite channel fuzzy vectors and carrier dynamic information to output error correction amounts and uncertainty variances; the satellite observations are corrected by using the error correction amounts, and a composite noise covariance matrix is constructed based on the uncertainty variances; the corrected observations and the composite noise covariance matrix are input into a navigation solver to extract high-precision time information. The application significantly improves the positioning and timing precision of a radio navigation system in a complex dynamic environment by hierarchically and cooperatively estimating and compensating the propagation errors of satellite signals.