11results about How to "Eliminate time lag" patented technology

This invention relates to a frequency identification circuit for motor driver control, belonging to the field of motor drive control technology. The frequency identification circuit compares frequency signals with corresponding duty cycles of 1% and 99% using two comparators. The first comparator circuit amplifies the output signal of the frequency identification module and inputs it to the non-inverting terminal of the comparator. The second comparator circuit directly inputs the output signal of the frequency identification module to the inverting terminal of the comparator. When the duty cycle is less than 1% or greater than 99%, the corresponding comparator outputs a low level. The signal processing circuit uses the unidirectional conductivity of a diode to perform an OR operation on the two comparison signals. If either signal goes low, the driver enable terminal is pulled low, triggering a protection mode. This invention enables rapid identification and protection against PWM signal anomalies, effectively improving the reliability of protection for motor drivers and electric servos.

This application discloses a seat assembly, a smart cockpit, and a vehicle. The seat assembly includes a seat body with a backrest. The seat body is configured to rotate about a preset axis in response to a lateral force acting on it, thereby increasing the support force of the backrest for the occupant. This support force is used to at least partially counteract the lateral force acting on the occupant. This application eliminates the time delay problem in active control schemes, enabling the rotational movement of the seat body to remain synchronized with the real-time lateral movement of the vehicle, ensuring the effectiveness of the anti-motion sickness effect.

The application belongs to the technical field of underwater unmanned vehicles, and particularly relates to a self-filling UUV emergency self-rescue device, which comprises a fairing, an inflatable assembly, an inflation assembly, a valve, a trigger execution mechanism, an unlocking execution mechanism, a driving mechanism and a monitoring control system. The application synchronously starts the throwing-off of the fairing and the inflation expansion of the inflatable assembly under the same driving instruction, eliminates the time delay possibly caused by the sequential actions, ensures that the UUV can obtain a self-rescue response at the fastest speed in an emergency state, and shortens the time window from the fault occurrence to the starting of the floating action.

This invention relates to the field of data acquisition and monitoring control technology, and discloses a machine learning-based intelligent design and optimization system and method for coating formulations. The system includes: a high-frequency rheological characteristic acquisition module to obtain current and historical shear viscosity values ​​and transmit process status data packets; a formulation envelope mapping storage module to store standard target viscosity reference values; and a preemptive bus loop gating module located in the control interrupt bus to calculate the transient shear rheological fluctuation factor within the reactor. When the fluctuation factor is less than 0.08, the process status data packet is released; when it is greater than or equal to 0.08, the control interrupt bus is cut off and the general management message transmission queue is suspended. This invention coaxially connects the data stream and control stream, with feedforward offsetting action lag, eliminating product fineness degradation caused by storage lag and control delay, and achieving zero-lag abnormal blocking control.

The application provides an active vibration isolation system based on a phase conjugate elastic beam, which comprises a foundation base plate, a vibration isolation platform and four vibration isolation units arranged in a rectangular symmetry. Each vibration isolation unit comprises a lower connecting seat, a quasi-zero stiffness mechanism, a phase conjugate elastic beam assembly, an upper connecting seat, a piezoelectric-elastic fluid composite actuator and an analog controller. The quasi-zero stiffness mechanism adopts an air spring to provide positive stiffness and a permanent magnet and an electromagnet to provide real-time adjustable negative stiffness in an opposite pole state. The elastic beam is in a cosine curve shape, two ends of the elastic beam are connected with floating seats through flexible hinges, and strain gauges are pasted at symmetrical positions to realize time-lag-free speed prediction. In the piezoelectric-elastic fluid composite actuator, working liquid is continuously through, and high and low frequency control forces are naturally separated through fluid dynamics. The application keeps the phase flat in the full frequency band of 0.1Hz to 100Hz and can realize hybrid control without time lag.

The invention discloses a snapshot type automatic optical microscopic defect detection system and a detection method. The resolution ratio and accuracy of fine defect identification are improved through the microscopic imaging module, the high-speed coding spatial light modulation module is introduced to carry out spatial modulation on a light field carrying defect information, and a camera module can obtain a compressed measurement image through one-time exposure in cooperation with relative movement of a to-be-detected product and the microscopic imaging module. And a high-resolution defect image is recovered through a calculation reconstruction algorithm, the limitation of the frame rate of the camera is broken through, the mechanical scanning delay is eliminated, and high-speed snapshot type detection is realized. The method is particularly suitable for rapid and nondestructive online detection of defects such as internal bubbles and surface cracks of workpieces such as glass and silicon wafers on an industrial production line.

The present application provides a kind of biomass combustion self-adaptive fire control method and system based on vision and thermodynamics, system includes optical sensor, array thermocouple, high-energy electronic igniter, infrared flame detector, edge computing and main control module.Edge computing and main control module synchronously and independently process data from optical sensor and thermocouple, extract the area ratio of visual dark spot in ignition zone and temperature drop rate gradient, introduce image information entropy and dynamically correct visual dark spot critical threshold and temperature sharp drop critical threshold according to it, judge when "stove" risk occurs and execute fire program, realize high-precision, nonlinear adaptive smooth fire regulation and control using two-dimensional fuzzy adaptive PID controller.The present application overcomes the control lag and frequent misjudgment problem caused by single sensor in traditional fire supplement system, eliminates the thermal shock generated by on-off fire supplement to furnace flow field, improves the thermodynamic equilibrium stability and safety level in the process of biomass carbonization.

The invention relates to the technical field of meteorological ecological observation, biological safety detection, environment monitoring and the like, and discloses a biological aerosol automatic identification system and method based on ultraviolet fluorescence imaging, and the system comprises an environment control module, an aerosol sampling module, an adhesive tape transmission module, an ultraviolet microscopic imaging module and a control and data processing module. The environment control module is used for constructing a constant-temperature closed optical darkroom; the aerosol sampling module captures biological particles in the air on the surface of a carrier adhesive tape by utilizing an acceleration nozzle and an inertial impact principle; the adhesive tape transmission module realizes automatic transfer of a sample from a sampling position to a detection position through stepping control; the ultraviolet microscopic imaging module adopts a coaxial incident light path structure and is matched with a dichroic spectroscope and an optical filter to separate exciting light and fluorescence signals. According to the invention, full-process automatic in-situ monitoring of the biological aerosol is realized, the problem of background interference is effectively solved, and the real-time performance of detection and the recognition accuracy are improved.

The application discloses an open circuit laser road dust mobile evaluation method and system fusing AI video recognition and relates to the technical field of road dust measurement. The method comprises the following steps: installing an open light path laser dust monitoring device, an industrial camera and a positioning unit at the tail of a vehicle; determining a scene correction coefficient through system calibration; synchronously collecting tail plume scattering signals, digital images, vehicle speed and spatial coordinate data in the process of driving; pre-processing the tail plume images and extracting spot features, combining a calibration model to calculate dust concentration, and using a grid method to calculate the overall average concentration of the tail plume; using a Z-score standardization method to carry out dimensionless processing on the dust concentration and the vehicle speed, constructing a comprehensive evaluation index coupling the dust concentration and the vehicle speed, and generating a road dust spatial distribution evaluation result. The application does not need a sampling pipeline and a sampling pump, introduces a vehicle speed factor to make up for the deficiency of single index evaluation, and realizes the collaborative quantitative evaluation of the road dust pollution level and the traffic disturbance intensity.

The utility model relates to the technical field of incubation box, and disclose a kind of for traditional medicine molecule group polypeptide detection analysis incubation box, including base, the top of base is equipped with stepper motor, the top of stepper motor output shaft is fixedly connected with driving shaft, driving shaft's outer ring is equipped with driving gear, the top of base is also rotatably connected with driven shaft, the outer ring of driven shaft is equipped with driven gear, driven gear and driving gear are mutually engaged, the top of driven shaft is equipped with heating mechanism, heating mechanism is provided with multiple groups and is circumferentially arrayed distribution in the outer ring of driven shaft.The utility model can preheat specific heating area to target temperature, when the incubation box is put in, the required temperature environment can be obtained immediately by accurate rotation, the time delay of sample from room temperature to target temperature in traditional equipment is completely eliminated, and the antigen-antibody reaction can be fully carried out according to the theoretical time set in the reagent kit instruction.

The application discloses a kind of based on advanced geological prediction result's heading machine construction parameter intelligent prediction method and system.The method includes: constructing time-space alignment multidimensional geological feature input vector;Physical embedded neural network (PINN) prediction model is constructed, and construction parameter is output;"mileage-parameter" mapping relationship is stored in virtual geological instruction database;In the process of TBM excavation, real-time acquisition actual construction parameter and excavation efficiency data, PINN model is updated on line and weight fine tuning.The application embeds CSM theoretical model into neural network loss function, and introduces dynamic physical tolerance mechanism, realizes the construction parameter intelligent decision-making with physical explainability and data fitting accuracy, significantly improves the adaptability and prediction reliability of TBM under complex geological conditions.