44results about How to "Solve strong coupling" patented technology

The invention discloses a DPI (deep packet inspection) method and system. The DPI method comprises the followings steps: 1, information acquisition: a packet, input by a kernel of a network equipment operating system, in a to-be-processed session is received, and information of the packet is read; 2, DPI: the packet is inspected, and a subsequent packet is processed according to inspection results and the condition whether hardware acceleration configuration exists; 3, inspection data submission: the packet inspection results are counted and analyzed and submitted to a data platform for display of inspection and control results. According to the DPI method and system, compiling can be performed according to kernels of different sets of network equipment, the method and the system can adapt to various platforms quickly, the dependence degree on the equipment is reduced, and the problem of high coupling of a DPI module and the network equipment is solved; few resources are occupied, and application of the DPI technology on low-end network equipment is realized; the DPI method and system has the functions of application identification, terminal identification, acquisition of search keywords, URL (uniform resource locator) identification and classification, acquisition of specific information and the like, and wider coverage area and perfect functions are realized.

The invention discloses a prediction and control method for a separation process of a hypersonic aircraft under the action of a two-phase flow field. The prediction method is realized by the followingsteps: discretizing the flow field of a hypersonic aircraft by adopting an overlapping grid method, carrying out equivalent correction on kinetic energy and momentum of the fluid through thrust reverser rocket inner fluid equivalent to air, establishing an N-S equation of the flow field after equivalence, carrying out flow field CFD calculation according to the established N-S equation of the equivalent flow field to obtain the aerodynamic force and moment borne of the separated bodies in the separation process and solving separation motion under different working conditions by utilizing theobtained aerodynamic force and moment borne of the separated body to obtain centroid motion and attitude motion parameters of the separated body, wherein the separated body comprises a front body anda rear body.

The invention discloses a method of designing a high-frequency high-voltage transformer for electrostatic dust collection. The method comprises the steps of designing the high-frequency high-voltage high-power transformer, carrying out type selection on materials, applying a particle swarm optimization algorithm to an optimization design of the transformer, and optimizing the high-frequency high-voltage transformer by taking the efficiency as a goal. Compared with the prior art, the particle swarm optimization algorithm is introduced, the transformer can be optimized in characteristics of strong coupling property and dynamic property between the parameters of the transformer, and a method of randomly adjusting the inertia weight is introduced in the particle swarm optimization algorithm at the same time, so that the algorithm optimization efficiency is greatly improved.

The invention relates to a universal calibration device for protecting a vehicle electron control unit and relates to the control technology of vehicle electron. The calibration device which is designed by the invention and used as the middle layer of an upper computer calibration system and an electronic control unit is independent of the electric control unit, and comprises the calibration SCM and the double-interface RAM of an expanded CAN communication interface; the calibration SCM follows a CCP protocol and is communicated with the upper computer calibration system by the expanded CAN communication interface; calibration parameters and measuring parameters are stored in the double-interface RAM; the calibration SCM and the electric control unit share the parameters in the double-interface RAM. The calibration device has commonality which can be very conveniently integrated with the vehicle electron control unit and the upper computer calibration software (such as CANape, INCA), overcomes the defects of large developing working load and poor commonality of the prior art and improves the efficiency for the work of developing and calibration.

The invention discloses a pseudo-decoupling controller for a four-wheel-steering intelligent vehicle and a control method thereof. On the basis of intelligently sensing the external environment and observing internal parameters, the original model of the four-wheel-steering intelligent vehicle is first established, and then the right inverse model is established. Placed in series on the left side of the original model, the original model of the four-wheel steering smart car and the right inverse model together constitute a pseudo-decoupling system; then a finite-time stability model of the four-wheel steering smart car is established for the limited Observation of time stability, and then establish a finite time model mismatch degree model of four-wheel steering smart car, which is used to observe the degree of mismatch between the original model of four-wheel steering smart car and the right inverse model, and finally design the steering control decision-making module, according to the external environment perception And internal parameter observation, as well as the two characteristic parameters of finite-time stability and finite-time model mismatch degree, make a decision on whether to steer and control parameters, and improve the steering control performance and intelligence level of four-wheel steering intelligent vehicles.

The invention relates to a sewage treatment process soft measurement method based on a weighted probability slow feature model, which comprises the following steps: firstly, carrying out online sampling on a sewage treatment process to obtain a training sample set and a query sample at a next moment, establishing a weighted probability slow feature analysis model to extract slow features of the training sample, and estimating model parameters by adopting an EM algorithm; then establishing a local weighted regression model between the output variables and the slow features; and for a current query sample, extracting slow features and predicting the output of the query sample, then adding the query sample into a training sample set, waiting for an online sampling sample of a next sewage treatment process, and repeating the steps to predict the output so as to obtain an online prediction result of the effluent quality in the sewage treatment process. According to the method, the nonlinear dynamic modeling capability of the sewage treatment process and the prediction effect of the effluent quality are improved, and the sewage treatment process monitoring and control based on the method are more effective.

The invention provides a message processing method. The message processing method includes: analyzing a service message while the service message sent by a client is received so as to determine a service type of the service message; querying a corresponding service system according to the service type of the service message, and storing the service message in a message queue corresponding to the service system; and sending a message processing command to the service system so as to allow the service system to acquire a service message from the message queue according to the message processingcommand. The invention also provides a message processing device and equipment, and a computer readable storage medium. A message platform is deployed, and the client can be connected to the message platform, and can send a message to the message platform; the message platform can transfer the processed message to the service system, and the concurrence pressure of the service system can be effectively relieved.

The invention discloses a method for optimizing the design of a high-frequency high-voltage transformer based on a genetic algorithm. The invention establishes a mathematical model based on the minimum loss formula of the transformer, the insulation size of the transformer and the shape of the iron core, and takes the number of turns of the primary side and the number of layers of the secondary side as Optimize variables, efficiency is the optimization goal, and genetic algorithm is used to optimize the transformer to maximize the efficiency of the transformer and minimize the loss. Under the same conditions, it also means to minimize the temperature rise, and make full use of the leakage inductance and distributed capacitance of the transformer to participate in the power supply. In the work of the system, the LCC resonant circuit is formed to reduce the loss of the transformer, thereby reducing the temperature rise. Compared with the prior art, the present invention introduces a genetic algorithm, which has a fast and random search capability irrelevant to the problem. The search starts from the group and has the characteristics of parallelism. It can compare multiple individuals at the same time, which greatly speeds up the process. the speed of finding the optimal solution.

The invention discloses a broadband metamaterial unit and a broadband MIMO antenna, belonging to the technical field of microwave antennas. The resonant ring unit of the present invention includes a resonant ring, a dielectric substrate and a metal floor; the resonant ring includes a circular ring and a cross structure with gaps; the resonant ring unit is applied to an antenna, and two types of MIMO antennas are designed; The MIMO antenna described above has a relatively compact structure, a wider bandwidth and a smaller size.