32results about How to "Solving Lag Problems" patented technology

An image pickup apparatus having function for synthesizing image signals corresponding to a plurality of frames of different exposure amounts to generate wide dynamic range, synthesized image is provided with: at least two control means among a taking control means based on a normal taking mode, a taking control means based on a forced wide dynamic range taking mode, and a taking control means based on an automatic wide dynamic range taking mode for selectively generating wide dynamic range, synthesized image automatically on the basis of object information or information set for the image taking; and means for selectively setting one image taking mode out of the taking modes respectively corresponding to the two control means. It is thereby possible to take image by selecting one image taking mode from at least two taking modes among the normal taking mode, the forced wide dynamic range taking mode, and the automatic wide dynamic range taking mode.

The invention discloses a tunnel event detection method based on integrated learning time sequence prediction, which mainly solves the problem that similar methods fail to accurately predict values of a sensor and cannot effectively control tunnel ventilation. The method comprises the detection steps of: pre-processing acquired highway tunnel data to form a training data set; training a plurality of basic predictors according to the training data set, and forming a strong predictor by the weighted combination of the basic predictors; utilizing the strong predictor to calculate a predictive value of smoke concentration of a tunnel at t+1 time according to a value of a tunnel sensor at the current t time, and dynamically adjusting the basic predictors which take part in the integration according to prediction error; comparing the predictive value of the smoke concentration of the tunnel at t+1 time with a smoke concentration threshold, and judging whether the smoke concentration is an over-standard event; and for the over-standard event, calculating control parameters of a ventilation controller, and reducing the smoke concentration. The method has the advantages of strong prediction function and high control accuracy of the ventilation controller, and is used for operation monitoring, energy conservation and emission reduction of highway tunnels.

The invention discloses pantoprazole and the sodium salt enteric sustained-release micropill preparation thereof. The preparation comprises pantoprazole-containing micropills, an isolation layer, a sustained-release layer, another isolation layer and an enteric layer from inside to outside in sequence; the weight of the first isolation layer is 0.5% to 40% of that of the pantoprazole-containing micropills, the weight of the sustained-release layer is 5% to 100% of that of the pantoprazole-containing micropills, the weight of the second isolation layer is 0.5% to 40% of that of the pantoprazole-containing micropills, and the weight of the enteric layer is 20% to 200% of that of the pantoprazole-containing micropills. The pantoprazole enteric sustained-release micropills can stably release the drug.

The invention discloses an active noise control method and system based on a fuzzy neural network and an armored vehicle driver's helmet. The method includes collecting a reference noise signal in a reference area by a reference microphone, and outputting it to a fuzzy controller as a reference signal; the error microphone collects noise The residual noise signal in the control area is used as an error signal, and is output to a fuzzy controller; and the fuzzy controller is based on an adaptive FX-RBF network training algorithm of a fuzzy neural network, and analyzes the reference signal and the error signal , and output the anti-phase target sound signal to the speaker. The active noise control based on the fuzzy neural network of the present invention has obvious noise reduction effect on noise below 2000 Hz, and the noise reduction effect on low frequency noise below 1000 Hz is particularly significant.

The invention discloses an active noise control method and system based on a fuzzy neural network, and a tank helmet. The method includes collecting a reference noise signal in a reference area by a reference microphone as a reference signal, and outputting it to a fuzzy controller; the error microphone collects a noise control area The residual noise signal, as error signal, and output to fuzzy controller; And described fuzzy controller is based on the self-adaptive FX-RBF net training algorithm of fuzzy neural network, described reference signal and described error signal are analyzed, and Outputting the target sound signal in reverse phase to the loudspeaker, the active noise control based on the fuzzy neural network of the present invention has obvious noise reduction effect on noise below 2000 Hz, especially the noise reduction effect on low frequency noise below 1000 Hz.

The invention discloses a method and system for actively controlling noise in a tank cab. The method includes collecting a plurality of main noise source noises by a reference microphone and inputting them as reference signals; collecting residual noise after noise control by an error microphone and inputting them as error signals; fuzzy control The receiver receives the reference input signal and the error input signal. The adaptive FX-RBF network training algorithm based on the fuzzy neural network analyzes the reference signal and the error signal, and outputs the inverted target sound signal y[n] to the speaker and the main noise source noise. x[n] are superimposed. The active noise control based on the fuzzy neural network of the present invention has an obvious noise reduction effect on noise below 2000 Hz, and the noise reduction effect on low frequency noise below 1000 Hz is particularly remarkable.

The invention provides a poisonous gas alarm. The alarm includes a sensor sensing content of poisonous gas, a timing module for timing, a microprocessor having least square method predication function, and a vision alarm module and an auditory alarm module sending alarm to operators according to indexes such as poisonous gas content change values, out-of-limit time points and the like. The invention solves a problem of time lag of a prior alarm. The alarm response speed and risk vigilance of people can be improved substantially. Human health damage is also reduced greatly by the early alarm function. Besides, due to the application of the least square method, error alarm possibility is reduced since the alarm has the predication function, so that the predication accuracy of the alarm is improved greatly.

The invention provides an automobile active suspension H-infinity switching control method based on a T-S fuzzy model. The control method comprises the following steps of 1, establishing an active suspension T-S fuzzy model; 2, proposing an active suspension H-infinity control law based on the T-S fuzzy model; and 3, designing a control switcher. When the state is measurable, the switcher is controlled to be switched to the state feedback H-infinity controller; and when the state is unmeasurable, the controller is switched to an output feedback H-infinity controller. The method has the advantages that the T-S fuzzy model is used for describing the active suspension, local linear conversion is conducted on a nonlinear suspension system, meanwhile, the H-infinity controller is combined with the T-S fuzzy model, a state feedback and output feedback control switching mechanism is designed, and the comfort and safety of the active suspension under the complex road condition are effectively improved.

The invention relates to the technical field of a temperature control technology and water cooling equipment for a linear accelerator, in particular to a water cooling system for the linear accelerator. The water cooling system for the linear accelerator is characterized by comprising a main flow loop and a water mixing loop, wherein the main flow loop comprises a refrigerating machine; output cooling water of the refrigerating machine sequentially passes through a water inlet main pipe, a first flow meter and a water-mixing tee joint to be connected with a water separator; the water separator is connected with the linear accelerator through a first water pipe group; the linear accelerator is connected with a water collector through a second water pipe group; and the water collector sequentially passes through a first tee joint, a first water return main pipe, a second tee joint and a second water return main pipe to be connected with the refrigerating machine. By adopting a method for mixing one part of high-temperature return water flowing out from an outlet of a heat exchange runner of the accelerator into the cooling water, the problem of hysteresis in the dynamic adjustment process of the refrigerating machine can be solved and accurate temperature control on the linear accelerator is achieved.

The invention discloses a high-real-time motion control system and method. The system comprises an ARM module, an FPGA module and a high-performance synchronous receiving module, wherein the FPGA module serves as a peripheral of the ARM module and is connected to an FMC high-speed bus; the high-performance synchronous receiving module is used for providing accurate second pulse synchronizing signals, the second pulse synchronizing signals are connected with an external interruption port of the ARM module, the ARM module receives the second pulse synchronizing signals, high-precision time is obtained through a software implementation method, and control system time is fed back to an upper computer. The upper computer compares the feedback time with the reference time of the upper computer until the synchronization is completed. The method effectively solves the time delay problem of an existing control system, and compared with the prior art, the complexity of the system is simplified, the cost of the control system is reduced, the tracking precision of control is improved, and the method is simple to operate and easy to implement.

The invention discloses an improved self-adaptive generalized predictive control method for a data-driven time delay system, which comprises the following steps of: firstly, determining a controlled variable and a controlled variable, acquiring input and output data of a time-delay system to construct a historical database, processing abnormal data, and adopting a time-varying forgetting factor recursive least square method to establish an autoregressive integral moving average model with controlled quantity of the time delay system; designing a reference trajectory according to the expected value, solving a Diophantine equation, designing a GPC control law, and constructing an optimization performance index; and calculating and implementing the optimal control quantity, collecting input and output data, and updating a historical database. According to the invention, the time lag problem of the system can be effectively solved, the utilization rate of offline and online input and output measurement data is improved, the influence of input and output interference and abnormal data on control is effectively inhibited, and the stability and good robustness of the system are ensured.

The invention discloses a hotspot research discovery method based on social media academic conference information. The method comprises the following steps: acquiring original state data of a social media academic conference based on topic tags; cleaning and analyzing the original state data, and extracting key information; inputting the key information into a pre-established and trained conference information classifier to obtain a corresponding information category; respectively obtaining corresponding research hotspots from three aspects of keyword analysis, user posted text analysis and information spreading network analysis based on information categories; and endowing the obtained research hotspots with weights, and performing weighted summation on all the research hotspots to obtain a final research hotspot sequence. The conference information classifier realizes classification of information categories based on a social media academic conference information organization model. The method provided by the invention can solve the time delay problem of a traditional literature metrology method, and research hotspots in related fields can be found more timely.

The invention provides a target air inlet density control method, device and equipment and a readable storage medium. The target air inlet density control method comprises the steps that the initial target air inlet density is obtained; based on a PI control method, the target air inlet density of the P item is obtained through calculation; the target air inlet density of the I item is determined; summation calculation is conducted on the target air inlet density of the P item and the target air inlet density of the I item, and the optimized target air inlet density is obtained; the optimized target air inlet density is limited, and the final target air inlet density is obtained; and the final target air inlet density is used for controlling the opening degree of a throttle valve. According to the method, the final target air inlet density is used for controlling the opening degree of the throttle valve, due to the fact that the throttle valve is high in control precision and free of response delay, the target air inlet density can be efficiently achieved through the throttle valve, and dynamic closed-loop control adjustment is formed between the target air inlet density and the actual air inlet density; and the time lag problem of the air inlet system of the engine is well solved.