39results about How to "Computational Efficiency" patented technology

The invention relates to a flight icing numerical value simulation method of a helicopter rotor wing. The flight icing numerical value simulation method is mainly characterized by comprising the following steps that: a vorticity compensation force algorithm is added into a momentum equation and an energy equation in a single fluid model used for vortex movement used for simulating air-super cold water drop two-phase flows under a rotating coordinate system in rotor wing trail traces, and a centrifugal force and geostrophic force algorithm is added into a super cold water drop sliding velocity equation; a water film movement and icing model of the centrifugal force and the geostrophic force is considered; and the algorithms and the models are used for carrying out the flight icing numerical value simulation flow process of the helicopter rotor wing, wherein the model of single fluid two-phase flowing used for simulating the simulating air-super cold water drop movement is realized by a partial differential equation group for describing the movement of air and air-super cold water drop binary mixtures in a rotor wing tail trace flow field, and a two-phase flow slipping speed model. The condition that the quality and energy changes are generated in water films and ice layers because of the rotary movement of the rotor wing is considered in the model of the water film movement and icing process on the rotor wing surface, and the icing shape of the rotor wing surface is obtained.

The invention provides an azimuth imaging method based on a MIMO rectangular plane array. The method includes a step A of performing backward projection operation on each of four groups of target scattered signals obtained by a receiving antenna when four transmitting antennas are in a time-share transmission condition, obtaining four preliminary radar images and performing modification; a step Bof performing Fourier transform on the modified radar images to a spectral domain, performing truncation and mergence on spectral domain data of the four radar images in the spectral domain and performing Fourier inversion on a comprehensive spectral domain result obtained through mergence and obtaining a final imaging result. The invention effectively solves a problem of the relationship among MIMO array length, array element number and azimuth resolution under the topological structure of the specific sparse rectangular plane MIMO array, and simultaneously gives attention to the operation efficiency. Truncation and mergence are performed on image data in the spectral domain, so that frequency spectrum information of a target is improved and imaging quality is improved. Besides, the computational efficiency is improved and the algorithm real-time performance is ensured by using Fourier transform.

The invention provides an architecture for carrying out multiply-add operation on floating-point numbers or fixed-point numbers. The architecture is characterized by comprising a buffer memory used for carrying out buffer storage on a plurality of input floating-point numbers or fixed-point numbers, the floating-point numbers comprising floating-point indexes and floating-point mantissas; a computing unit array, comprising a plurality of multiplication unit columns at least comprising one multiplication unit, and each multiplication unit column being connected to one addition unit; a floatingpoint control and arithmetic unit module, at least comprising an exponential arithmetic unit, a mantissa shift summator and a shift corrector; and an external input/output interface, used for inputting the floating-point number into the buffer memory or outputting a floating-point multiply-add result. The architecture can be expanded to any precision, and both the calculation efficiency and the calculation precision are considered. Meanwhile, the method is compatible with various memory structures and has extremely high adaptability. The architecture can be changed into any precision fixed-point number operation in the memory through proper modification.

The invention discloses a rail transit vehicle parking control method and system. The method comprises the steps of adjusting the operation electric braking force of a vehicle in real time at each braking time point according to the deviation value of the actual speed of the vehicle and a reference speed, and when the actual speed of the vehicle is reduced to Vt, unloading the electric braking force, and using air braking for reaching a parking point. Parking control is divided into two stages, a virtual calibration point is set in the first stage, and the braking force is adjusted in real time according to the deviation value of the position speed of the virtual calibration point and the reference speed. In the second stage, a sliding section at the front end of the parking point is set,after the vehicle reaches the calibrationalignment point, the vehicle travels in a force unloading mode, and finally air braking is used for accurate parking. According to the method, the control precision of electric braking and air braking can be greatly improved, the phenomena of over-calibration and under-calibration are prevented, and the vehicle running efficiency is improved.

Two-dimensional or three-dimensional images of the distribution of a property of an object are formed by passing rays of radiation through the object and detecting how much each ray is attenuated. The Fourier transform is taken of each individual ray but only the zeroth term of the transform along the path of the ray is retained. Each of these transforms is added into a two or thee-dimensional array. If the three-dimensional distribution is being imaged, the transform is a plane of numbers, which is added into the three-dimensional array at right angles to the path of the ray. The numbers in the array are corrected for the non-uniform density of data. After enough such rays in enough different directions are applied, the distribution of the property is obtained by taking the inverse Fourier transform of the data in the array.

The invention discloses an overcurrent protection and current detection control method and device for a power amplification element. The overcurrent protection and current detection control method and device are used for shortening the time delay between the time of outputting a sampling control signal to the time of controlling the power amplification element to be closed when overcurrent occurs to the power amplification element so that the power amplification element can be closed in time when overcurrent occurs to the power amplification element, and the power amplification element is effectively protected. The overcurrent protection method for the power amplification element comprises the steps that an erasable EPLD receives work pattern configuration information sent by a processor; when the EPLD confirms that the EPLD is in a first work pattern according to the work pattern configuration information, the EPLD sends the sampling control signal to a detector to indicate a detector to detect the current value of the power amplification element; after the EPLD receives a detection completion signal sent by the detector, the EPLD reads the current value detected by the detector, compares the current value and a preset threshold value and closes the power amplification element when the current value is larger than the preset threshold value.

The invention belongs to the technical field of air conditioner defrosting, and particularly relates to a defrosting control method used for an air conditioning unit. The invention aims to solve the problem of a current defrosting control method that an optimum starting timing for a defrosting mode is difficult to determine. Therefore, the defrosting control method comprises the steps that outdoordry-bulb temperature, outdoor wet-bulb temperature and outdoor coil temperature, evaporation pressure and current operation time of the air conditioning unit are obtained; current air outlet volume of an outdoor unit is determined according to the outdoor dry-bulb temperature, the outdoor wet-bulb temperature, the outdoor coil temperature, the evaporation pressure and the current operation time;and the air conditioning unit is controlled to enter the outdoor unit defrosting mode selectively according to the current air outlet volume of the outdoor unit. According to the defrosting control method, no other elements need to be additionally arranged when the air outlet volume of the outdoor unit is determined; the air outlet volume is not affected by other irrelevant factors; and the optimum starting timing for the defrosting mode can be accurately determined, and thus a long-time high-efficient operation state of the air conditioning unit is effectively ensured.

The invention provides a local mean decomposition (LMD) improving method for speech fundamental frequency extraction. Firstly, an upper envelope and a lower envelope of a speech signal are calculated through an iterative envelope method of a cubic spline interpolation, and the local mean function and the envelope estimation function of the speech signal are calculated; after screening is completed once, in the subsequence screening process, an iterative envelope method of a piecewise cubic hermite interpolating polynomial is used for calculating the upper envelope and the lower envelope of the speech signal so as to obtain the new local mean function and envelope estimation function; after LMD is completed, the component with maximum energy is selected to calculate the frequency spectrum of the envelope function of the speech signal; and finally, the fundamental frequency of the speech signal is obtained. The iterative envelope methods with an under-envelope elimination function are introduced into an LMD method, a high-order interpolation curve and a low-order interpolation curve are combined to slow down over-envelopes, thus the local mean function and the envelope estimation function of the signal are built, and the calculating efficiency and convergence stability of the LMD method in the fundamental frequency extraction process of the speech signal are improved remarkably.

The present invention relates to an intelligent micro-grid electric energy quality distributed-type control device. The device comprises a controller, a zero-crossing switching switch, a reactor, a wave-filtering power capacitor, a signal terminal post and an installation box body. The signal terminal post comprises a bus signal terminal post and a micro-grid signal terminal post, the bus signal terminal post is used for electrically connecting with an acquisition point A of a photovoltaic power generation system, the micro-grid signal terminal post is used for electrically connecting with anacquisition point B of a bus transformer, and the bus signal terminal post and the micro-grid signal terminal post are both electrically connected with the signal input end of the controller. The control end of the zero-crossing switching switch is electrically connected with the controller, the output end of the zero-crossing switching switch is electrically connected with the input end of the reactor, and the output end of the reactor is electrically connected with the wave-filtering power capacitor. According to the device, dual-channel sampling is realized, the device provides hardware support for dual-channel sampling accurate calculation, the power factor of a power grid is improved, and the loss of power supply transformer(s) and transmission line(s) is reduced.

A method and apparatus for capturing signals are disclosed. The method includes the steps of obtaining first signal segments, of which the length is integer multiple of the preset length, from a data sequence obtained by frequency mixing and related processing of intermediate frequency signals; dividing each second signal segments with preset length in the first signal segments into a third signal segment and a fourth signal segment; determining the position of the phase jump of each second signal segment for the m time according to the (2m+1) signal segment and the (2m+2) signal segment; determining whether each preset condition is satisfied; if all the preset conditions are not satisfied, determining m signal segment to be divided according to the position of the phase jump determined by the m time; dividing the determined m signal segment to be divided into the (2m+3) signal segment and the (2m+4) signal segment, wherein m is an integer greater than or equal to 1; if any one preset condition is satisfied, determining the coherent integration interval according to the position of the phase jump; and conducting coherent integration for the signal segments corresponding to the coherent integration interval.

The embodiment of the invention discloses an AI calculation configuration method and device, equipment and a storage medium. The method comprises the steps: acquiring a computing graph based on data flow architecture, and enabling the calculation graph to comprise a plurality of calculation nodes; determining a node type of the computing node; determining corresponding executable equipment according to the node type; and allocating the computing node to an executable device for execution. According to the embodiment of the invention, the executable device of the computing node is allocated according to the node type; the number of the computing nodes in the calculation graph does not influence the separation work; automatic separation of the calculation graph of the deep learning model based on the data flow architecture is realized, the efficiency of AI calculation configuration operation is improved, and the executable device with faster calculation is further selected according to the execution time of the executable device, so that the calculation speed and efficiency are both considered on the premise of realizing AI calculation configuration, and the performance of the computing graph is improved.

The embodiments of the invention provide an automatic pacifying control method and device for a crib, a storage medium and the crib, and relate to the field of crib control. The method comprises the following steps of acquiring vibration data of the crib; acquiring sound data of a target person; preliminarily judging whether the target person needs to be pacified or not according to the vibrationdata and the sound data; if the target person needs to be pacified, acquiring image data of the target person; further judging whether the target person needs to be pacified or not according to the image data; and if the target person needs to be pacified, controlling the crib to execute a pacifying instruction, wherein the pacifying instruction is used for controlling the crib to shake, play sound and/or flash lights. According to the automatic pacifying control method and device for the crib, the storage medium and the crib, the crib can perform pacifying according to the actual state of thetarget person, so that the crying of the target person is effectively avoided, and the user experience is improved.

A rotating equipment state monitoring index extraction method based on vibration energy gradient decomposition comprises the following steps: firstly, collecting a plurality of groups of vibration monitoring data in a stable operation period of rotating equipment, and decomposing the detection data into a plurality of levels of sub-signals based on different energy gradients; calculating a corresponding energy scaling coefficient according to a ratio before and after normalization of each level of sub-signal characteristic energy sequence; then collecting real-time vibration monitoring data of the rotating equipment, decomposing the monitoring data into a plurality of levels of sub-signals based on different energy gradients, and scaling the characteristic energy of a sub-signal component according to an energy scaling coefficient corresponding to each level of sub-signal; and finally, taking the correlation kurtosis ratio of the characteristic frequency of each stage of sub-signal component as a weight, carrying out weighted fusion on the sub-signals corresponding to the same group of real-time vibration monitoring data, and taking the fused characteristic energy as a rotating equipment operation state monitoring index. The method gives consideration to calculation efficiency and reliability, and achieves the operation state monitoring of the rotating equipment.

The invention discloses a time-adaptive air system flow-heat coupling method, in flow-heat coupling calculation, heat conduction of a solid domain and flow of a fluid domain are both regarded as unsteady states, fluid domain parameters of a disc cavity system are calculated by using a one-dimensional transient network method, and heat conduction calculation of a two-dimensional solid domain is regarded as an unsteady state. On the basis of a traditional serial interleaving method, fluid-solid information interaction in a single coupling time step length is achieved, and the coupling time step length is automatically adjusted along with the number of iterations by using a proportional integral differential controller. The advantages of a traditional loose coupling calculation method and a traditional tight coupling calculation method are fused, and the calculation efficiency and the calculation precision are remarkably balanced.