88results about How to "Speed balance" patented technology

The invention discloses a traveling vehicle vision detection method combining laser point cloud data, belongs to the field of unmanned driving, and solves the problems in vehicle detection with a laser radar as a core in the prior art. The method comprises the following steps: firstly, completing combined calibration of a laser radar and a camera, and then performing time alignment; calculating anoptical flow grey-scale map between two adjacent frames in the calibrated video data, and performing motion segmentation based on the optical flow grey-scale map to obtain a motion region, namely a candidate region; searching point cloud data corresponding to the vehicle in a conical space corresponding to the candidate area based on the point cloud data after time alignment corresponding to eachframe of image to obtain a three-dimensional bounding box of the moving object; based on the candidate region, extracting a direction gradient histogram feature from each frame of image; extracting features of the point cloud data in the three-dimensional bounding box; and based on a genetic algorithm, carrying out feature level fusion on the obtained features, and classifying the motion areas after fusion to obtain a final driving vehicle detection result. The method is used for visual inspection of the driving vehicle.

The invention provides a video transmission method and a device with high fault tolerance and low latency which is applied to deep space communication, wherein, the method comprises a video coding step, a base-layer data transmission step, an enhancement-layer data transmission step and a video decoding step. In the video coding step, acquired video data is processed through scalable video coding, and a scalable video coding code stream includes a base-layer code stream and at least an enhancement-layer code stream; in the base-layer data transmission step, the base-layer code stream in the scalable video coding code stream is extracted and transmitted by using an automatic retransmission request method, and the network packet loss rate is calculated when the transmission of the base-layer code stream is finished; in the enhancement-layer data transmission step, the enhancement-layer code stream is extracted, the obtained parameter is calculated for channel coding and transmission according to the packet loss rate by combining the channel coding technology for Athlon code, and the received enhancement-layer code stream is processed through channel decoding; and in the video decoding step, the received base-layer code stream is processed through video decoding, and the enhancement-layer code stream which is processed through channel decoding is processed through video decoding by combining the received base-layer code stream.

The invention discloses a method for removing heat-stable salts in amine desulphurization, aiming at solving the problem that the prior art has difficulty in treating desulphurizer with high content of sulfate radical. The method is as follows: strong base type II anion exchange resin with particle size of 0.5-1.5mm is filled in an ion exchange resin tower with height-diameter ratio of 1:1-3:1, the desulphurized amine solution with PH value less than 5.4 passes through the ion exchange resin tower at the airspeed of 30h-50h to experience purifying treatment, when the PH value of the desulphurized amine solution at the exit of the resin tower is equal to that at the entrance of the resin tower, sodium hydroxide solution is used to carry out upflow regeneration on the ion exchange resin, and the regenerated ion exchange resin is recycled. The method can solve the problems of rapid cumulative rate and large total content of the sulfate radical in reproducible wet method flue gas desulphurization system.

The invention relates to a thread cartridge balanced valve which is applicable to a working condition with a mutative load and especially engineering machinery which requires load downlink controlling and makes an effect on balancing the load gravity and the load speed. The thread cartridge balanced valve comprises a valve body and a valve core, wherein the valve core is connected with the valve body through a spring set composed of a plurality of springs which are embedded with each other by screwing leftwards and rightwards respectively and have different rigidity to form a multi-load sensitive entirety. The valve core integrates the functions of the existing main valve core and the existing pilot valve core; the reaction speeds are completely consistent so that load is more stable during the descending process and no low-frequency shaking phenomenon occurs, thus guaranteeing the safe reliability of a system; and when a hose decompresses, the main valve core can automatically and rapidly close an oil channel between a main oil port B and a main oil port A, prevent the stall speed of the load from descending, and serve as a hydraulic lock.

The invention relates to the technical fields of medical image processing, three-dimensional visualization and communication, and discloses a method for processing and displaying image data in a PACS (Picture Archiving and Communication System) by a mobile terminal. The method comprises the following steps: taking an intermediate server as a proxy of the mobile terminal and acquiring an image list from a server of the PACS system; and acquiring the image data from the server of the PACS system by using the acquired image list and using the intermediate server as the proxy through the mobile terminal. According to the method disclosed by the invention, original image data in the PACS system are processed and displayed by the mobile terminal, and thus the effect of the image data in the PACS system can be browsed anytime and anywhere.

The invention discloses an intelligent detection and early warning method and system for an outer envelope in a prostate operation. The method comprises the following steps: 1) acquiring outer envelope image data in a prostate operation video; 2) carrying out gray processing and singular value decomposition on the outer envelope data, and extracting a principal component characteristic value of the image; 3) performing image enhancement on the outer coating image after the image preprocessing in the first step by adopting a deep bilateral learning method; 4) neural network training; 5) detection and early warning. According to the invention, the latest artificial intelligence image recognition technology is utilized to carry out target detection on the prostate envelope, so that an intelligent early warning function is provided for the operations. Different from the existing static medical image recognition technology, the method is characterized in that dynamic images of an operationsite video need to be recognized, early-warned and analyzed. By means of image preprocessing measures such as data expansion, principal component analysis and image enhancement, speed and precision are balanced, and the actual application requirements of prostate operation auxiliary early warning are met.

The invention provides a control method, a control system and a refrigerator. The control method is used for controlling the rotation speed of a draught fan of the refrigerator, and includes the steps that according to a received draught fan start request, whether current environment temperature is larger than or equal to a first preset temperature value is judged; a rotation speed threshold range of current compressor rotation speed of the refrigerator is determined according to a judgment result, and draught fan work voltage of the refrigerator is adjusted according to the rotation speed threshold range so as to determine the rotation speed of the draught fan. By means of the technical scheme, the rotation speed of the draught fan can be reasonably adjusted through cooperation of the environment temperature, the compressor rotation speed and refrigeration requirements of chambers in the refrigerator, so that start and stop time of a compressor is optimized and overall energy consumption of a refrigerator system is reduced while the cooling speed is guaranteed.

The invention discloses a user sentiment analysis-based travel recommendation method and system. The system comprises a preprocessing module and a recommendation module. The method comprises the steps of performing extraction to obtain travel place information shared by a target user and a corresponding sentiment factor during sharing of the travel place by the target user according to a user behavior of the target user in a social network; establishing a correlation between the corresponding sentiment factor during the sharing of the travel place by the target user and the travel place information shared by the target user to obtain correlated data of the target user; extracting the correlated data of the target user and performing similarity calculation; establishing a user list according to travel place information of similar users, and performing calculation to obtain interest values of the target user for all the travel place information shared by the users in the user list of the similar users; and obtaining a travel list and recommending the travel list to the target user. According to the method and the system, sentiment states of the user at different granularity levels and different time segments are extracted from the social network, thereby assisting the user to better explore and discover user preferences in travel scheme selection.

The invention discloses a parameter identification method of a synchronous generator excitation system, which is used for outputting an optimal solution of a parameter Theta of the synchronous generator excitation system. The parameter identification method comprises the following steps of building an excitation system simulation module M; determining an equivalent standard J; and carrying out disturbance test on the excitation system with a signal X, and acquiring each real response index Y<Ri>. The parameter identification method also comprises the following steps of determining weight W corresponding to the Y<Ri>, wherein Sigma W is equal to 1; selecting a value of the parameter Theta, substituting the value of the parameter Theta into the M, carrying out disturbance test on the M with the signal X, and acquiring each real response index Y<Ii>; calculating an error e between the Y<Ii> and the Y<Ri>, and calculating a weight value e<W> of the error e if the error e conforms to the equivalent standard J; and taking the value of the parameter Theta as the optimal solution to be output if the e<W> is the minimum e<Wmin>, wherein the numbers of the Y<Ri> and the Y<Ii> are both N, and i is equal to 1, 2 until N. By the parameter identification method, the optimal solution can be found out from a parameter solution cluster of the synchronous generator excitation system, and the identification speed is increased within an acceptable precision range to the great extent.

The invention provides a time sequence determining method and device of an integrated circuit chip. The time sequence determining method includes subjecting a top module and at least two submodules of an integrated circuit chip to be designed to synthesization, overall arrangement and clock network design generation; extracting a boundary time sequence model according to the clock network of the submodules and the top module; if the boundary time sequence model meets the first time sequence conditions, designing wiring of the submodules and the top module; extracting an electric parameter model according to the wired submodules and the top module; if the electric parameter model meets the second time sequence condition, splicing the submodules and the top module and extracting a transistor model; if the transistor model meets the third time sequence condition, determining the time sequence of the integrated circuit chip. By the time sequence determining method and device, different time sequence models are extracted for different stages of integrated circuit chip design, and balance between speed and accuracy of the time sequence analysis is realized.

The invention discloses a variable step size affine projection generalized harmonic current detection method based on time coherent average. The variable step size affine projection generalized harmonic current detection method based on time coherent average mainly comprises the following main steps that: a load current at the current time n and the previous (k-1) time is adopted as a column vector; the column vector subtracts the output of the time corresponding to an affine projection filter so as to obtain an error (generalized harmonic current); the step size is updated by utilizing the moving time average value of the ratio occupied in a to-be-detected signal by the error so as to eliminate the interference to the step size update by the harmonic current. The method is high in convergence rate, is high in convergence accuracy in a steady state, is high in tracking capability in jumping, and is good in timeliness.

The invention discloses fuel cell stack turnover equipment and a working method thereof. The turnover equipment includes a portal frame and a supporting pedestal; the portal frame vertically installedon the position of the two sides on the upper surface of the supporting pedestal; a lifting arm is installed on the vertical side of the portal frame through slide rails; the slide rails are respectively installed on the two sides of supports of the portal frame; the lifting arm is horizontally installed on the portal frame; the other side that the lifting arm is installed on the portal frame isspaced with the first support and the second support; and the first support is movably installed on the lifting arm through a movable disc. Through the turnover equipment installed in the middle position of an electric pile assembly line, an electric pile box can be smoothly clamped and finishes a turnover motion of 180 degrees, so that low efficiency of manual turnover can be avoided, and the speed of turnover can be accelerated; and the external structure of an electric pile box body can be accurately aligned with a pallet, so that demands of industrial mass production can be realized.

The invention discloses an adaptive cuckoo and fireworks hybrid algorithm-based pressure container optimization design method, and belongs to the field of improvement and application of intelligent optimization algorithms. On one hand, the search step length of cuckoo can be adjusted according to a gap between current and optimal environmental adaptation values of a bird nest, and a discovery probability of bird eggs is calculated according to a standard deviation of adaptation values of individuals, so that the search efficiency of a population is improved; and on the other hand, a ''segmented value-taking'' method is adopted for the explosion radius in a fireworks algorithm, the number of sparks is determined according to a search range of an explosion point, and the individuals can perceive a gap between the current explosion point and the optimal value, so that the fireworks algorithm can perform a jumping cross-regional search. Two sub-populations that evolve independently are fused with each other through a fixed number of generations, so that information communication among different individuals can be enhanced. The method combines the advantages of two intelligent algorithms and has a good optimization effect in pressure container optimization design.

The present invention makes public a type of car vibration damping products using high damping rubber compound materials, involving the rubber technical field, whose features are the following ones: chloride butyl, 100; carbon black N220, 10-40; carbon black N330, 20-50; naphthenic oil H-3107, 20-40; age resister RD, 1-3; age resister 4010NA, 1-3; homogenizing agent 40MSF, 3-6; indirect zinc oxide, 5-10; magnesium oxide, 0.1-0.5; accelerating agent BZ, 1-5.By means of the above deployed car vibration damping products which use high dumping rubber, you get excellent heat and age resisting properties, and also high dumping properties.

The invention discloses a real-time attendance system based on face recognition, comprising: receiving video information collected by a camera, and decomposing the video information into picture information; cropping the picture information, calculating coordinates of a human face in a human face part image, and calculating a coordinate coincidence degree; judging whether an image frame of the picture information corresponding to the human face part image is an effective frame according to the coordinate coincidence degree; if so, extracting a feature code of the human face part image; selecting human face identity information corresponding to human face information that is successfully matched with the feature code to serve as real identity information of the human face part image corresponding to the feature code; and marking an attendance state of a person corresponding to the real identity information as a checked state. The real-time attendance system based on face recognition disclosed by the invention can effectively solve the problem of low face recognition attendance efficiency of the prior art. The embodiment of the invention further discloses a real-time attendance system based on face recognition, and a storage medium.

The invention provides a method and a device for obtaining thumbnails of images. The method comprises the following steps: under the conditions that a source image belongs to the GDI+ (enhanced graphics device interface)-decoding image format, and the resolution of the source image is less than the set value, using GDI+ (enhanced graphics device interface) to decode the source image; under the conditions that the source image does not belong to the GDI+-decoding image format, and / or the resolution of the source image is not less than the set value, judging whether the source image is more than the JPG (joint picture group) file with the set bit; if yes, using the GDI+ to partly decode the source image; and if no, using Freeimage to decode the source image. The method integrates the methods for generating thumbnails, combines the advantages of the methods, and provides a complete solution; and various factors such as type and compatibility of the supported image formats, the thumbnail-generating speed and the thumbnail-generating quality are effectively balanced.

The invention discloses a high dynamic range reading circuit based on a backside illuminated image sensor, which comprises an analog correlation sampling and programmable gain amplifier, and is characterized in that a voltage signal read from a pixel is amplified and then transmitted to a lower-level analog-to-digital converter through a switch switching strategy of multiple times of sampling andholding and adjustment to a set gain; the folding circulating analog-to-digital converter is used for quantizing the signals subjected to preceding-stage preventive large sampling; the digital correlation sampling merging logic circuit is used for obtaining a real digital quantized signal; the time sequence control circuit is used for controlling the analog-to-digital converters in each column line by line; an input signal sequentially passes through the analog correlation sampling and programmable gain amplifier, the folding circulation type analog-to-digital converter and the digital correlation sampling merging logic circuit and then outputs a quantized signal, and a clock signal passes through the sequential control circuit and then is input into the folding circulation type analog-to-digital converter and the digital correlation sampling merging logic circuit. Quantization errors are reduced, the dynamic range is enlarged, and the overall power consumption and area of the readingcircuit are reduced.

The invention discloses a rolling bearing fault diagnosis method fusing an attention mechanism and a twin network structure. The method comprises the following steps: 1) obtaining an original vibration signal and carrying out standardization processing on data to construct a training and test sample; 2) constructing a fusion attention module and twin network fault diagnosis model, taking a twin network as a framework, taking a feature extraction part as a composite dynamic convolutional network fused with a long-short term memory structure, and performing training by using a training sample; and 3) inputting to-be-diagnosed test data into the trained fault diagnosis model to obtain a fault type result. According to the method, a composite dynamic convolutional network fused with a long-short-term memory structure is arranged in a twin network framework, the dynamic convolutional network preliminarily extracts related features of a time-frequency diagram, and the long-short-term memory network further extracts bearing fault degree features in a complex scene; therefore, a rolling bearing fault diagnosis function under a limited data set condition can be realized.

Based on the binocular stereoscopic vision principle, the three-dimensional reconstruction method and device based on speckle and stripe hybrid modulation are researched, the device collects N frames of speckles and M frames of phase shift stripe images (N > = 1, M > = 3), and then high-precision three-dimensional face reconstruction can be achieved. The method comprises the following steps: firstly, carrying out stereo matching by using a speckle image to obtain a coarse disparity map, then obtaining two groups of truncated phases through a phase shift fringe image, and carrying out single linear interpolation on coarse disparity by adopting an interleaving modulation method to obtain a fine disparity map so as to finish three-dimensional reconstruction. Compared with a traditional method, the method has the advantages that the problem of wrong matching caused by the fact that a matching point appears near a truncation phase period boundary is solved by the aid of a staggered modulation method, sensitivity of a dynamic scene is low, and an effective solution is provided for real-time high-precision three-dimensional face measurement.

The invention discloses a multi-stage semantic Web service finding method. The invention utilizes correlative theories and technologies in semantic Web to construct a Web service description document containing semantic information. On the basis, correlative reasoning tools and methods are also utilized to search a Web service satisfying a service request. In summary, Web service finding comprises two paths with respective advantages and defects, namely a similarity-measuring function-based method with a good service finding speed and a constraint matching-based method with high service finding precision. The invention provides the multi-phase semantic Web service finding method integrating the two service finding paths and sequentially comprises the three matching stages: data type matching, body concept matching and constraint matching as well as relative matching algorithms.

The invention provides a double-wire welding control method. In the double-wire welding control method, electric arc interrupt due to generation of electric arc deflection is restrained. The double-wire welding control method includes: repeatedly applying a peak voltage and applying a base voltage taken as a cycle between the consumption electrode and the mother plate, applying a welding current to generate electric arc to form a melting bath, and conveying the filler wire to the melting bath for welding, wherein when the electric arc deflexion generation (time t42) in electric arc is determined based on the ascending of the base voltage the ascend, a current is applied in the same direction to the welding current in the filler wire, to eliminate the electric arc deflexion (time t43). In order to apply the current in the same direction in the welding wire and the filler wire, a binding force is acted to the electric arc deflection due to electric arc deflexion, so as to normalize the electric arc deflection.

The invention provides an embedded platform-oriented dual-mode target detection method and system, and the method comprises the steps: carrying out the segmentation processing on a to-be-recognized image according to a preset segmentation algorithm, and obtaining at least one image box; performing feature extraction on the image box through depth separable convolution in the improved YOLOv4-Tiny network to obtain image features corresponding to the image box; determining an infrared image and a visible light image according to the image features, respectively inputting the same a predefined visible light target detection model and an infrared target detection model after registration, and outputting detection results of the visible light target detection model and the infrared target detection model; and performing decision-level image fusion on the detection results through a pre-established decision-level fusion detection model, so that infrared and visible-light multi-band information complementation is realized, and a dual-mode target detection result is obtained. According to the scheme, real-time detection of an embedded platform for a multi-source image is realized, and the method has more obvious advantages in detection precision compared with a single-band target detection model while the requirements of real-time performance and effectiveness are met.

The invention provides an FFT reuse method. The method comprises the steps that 1, D-fold extraction is performed according to externally input high-speed sampling data, and digital filtering is performed on each piece of extracted data; 2, in K / D continuous clock cycles, e<-2(pi)k / K> frequency shift processing is performed on filtered output data; 3, in the K / D continuous clock cycles, serial-to-parallel conversion is performed on the obtained data, and the data is updated once in each K / D clock cycle; 4, D-point parallel FFT processing is performed on D-point data, and reuse processing is performed on an FFT result in each of the K / D clock cycles; and 5, K-point FFT results jointly composed of the D-point FFT results obtained in each cycle are rearranged and sequentially output accordingto an engineering demand.

The invention discloses a vacuum desorption system and method for adsorption and recovery of an organic solvent, and relates to an organic solvent adsorption and recovery system applied in industries such as medicines, petrochemical engineering and novel materials. The vacuum desorption system comprises an adsorption bed of the organic solvent, a nitrogen purging apparatus for the adsorption bed, a vacuum desorption apparatus for desorbing the adsorption bed, and a condensation and recovery apparatus for recovering the desorbed organic solvent. The vacuum desorption system is formed by connecting multi-stage vacuum pumps in series. The multi-stage vacuum pumps are arranged in an order of descending proportions of flow rate. By connecting the multi-stage vacuum pumps arranged in the order of descending proportions of the flow rate in series, the flow rate and the desorption speed of the vacuum desorption system can be greatly increased, thereby realizing the balance between the desorption speed and the adsorption speed.

The invention discloses a dispute focus category and similarity judgment method, system and device and a recommendation method, and belongs to the field of natural language processing. The dispute focus category and similarity judgment method comprises data set construction, model construction and training. According to the invention, a recall model and a refined arrangement model are used in the whole architecture; the recall model directly classifies dispute focuses, the accuracy is limited, but the speed is high, so the overall efficiency is guaranteed; the refined model makes full use of a Self-attention mechanism of bert to perform semantic interaction on dispute focuses, and although the speed is slightly slow, the accuracy is high; therefore, the speed and the accuracy are effectively balanced by the recall-refined dual model.

The invention discloses an industrial robot operation four-segment method collaborative planning method. The method includes the following steps that firstly, the action of industrial robots is sequentially divided into four segments; secondly, the distances S between discharging and feeding waiting points and a machine tool are calculated; thirdly, the shortest operation time T_LO of a discharging operation segment and the shortest operation time T_UO for entering a next machine tool to conduct feeding operation are calculated; fourthly, the cycle T_all of the slowest processing unit is calculated; fifthly, the discharging starting moment of the discharging industrial robot of the slowest processing unit and the starting moment of the feeding industrial robot of the slowest processing unit are calculated out, on the premise that the whole line beat is not affected, the waiting time of the feeding industrial robot and the discharging industrial robot is eliminated, the operation speed of the discharging robot carrying a workpiece machined by the last machine tool to walk to the next machine tool (WU) is reduced and the operation speed of the feeding industrial robot finishing the feeding operation and then walking to the last machine tool to prepare discharging in a no-load mode are reduced, and the speed of the four segments of the industrial robots is balanced.

The invention discloses a data processing method and device and a computer readable storage medium. The method comprises the following steps of setting a plurality of specific intervals for the specific function, and presetting a group of fitting parameters for each specific interval; preprocessing the input data falling out of the specific interval to obtain compensation information and effectivedata falling into the specific interval, determining corresponding fitting parameters according to the specific interval into which the effective data falls, and performing fitting operation according to the sum of the effective data to obtain an approximate fitting result; performing post-processing operation according to the approximate fitting result and the compensation information to obtaina final result corresponding to the input data. According to the invention, the occupation of a storage space in a function fitting operation process can be reduced, the fitting operation efficiency is improved, and the fitting operation time is reduced.

The invention relates to the field of garbage incineration, and in particular, discloses an alternating motion type fire grate garbage incineration furnace. The incineration furnace adopts an alternating motion type fire grate scheme; two adjacent rows of fire grate pieces are in an alternate reciprocating motion, so that loose, uniform and continuous rolling of garbage on the fire grates is guaranteed, and the garbage combustion speed is accelerated; the fire grate pieces are arranged in exhaust ports of different combustion areas to form different angles with a horizontal plane, so that theexhaust flowing speeds and directions in different combustion areas are different, and continuous and efficient combustion, burnout and discharge of the garbage and ash are guaranteed; and a furnace arch is provided for guaranteeing a drying effect of high-temperature smoke on garbage just fed in the furnace, so that the stop time of the high-temperature smoke in a hearth is prolonged, and the effects of drying the garbage in the inlets, burning all garbage residues and balancing the hearth smoke speed and a temperature flowing field are achieved.

The invention provides a between-cylinder balance control method and system for a dual-fuel engine and an automobile. The method includes the following steps that an accelerator pedal signal is obtained; the load state of the engine is judged according to the accelerator pedal signal; if the engine is in the first load state, the oil amount differences of oil amounts in multiple cylinders of the engine are calculated according to crankshaft rotating speed signals of the engine; and the oil amounts in the multiple cylinders are balanced according to the oil amount differences of the oil amounts in the multiple cylinders. By means of the control method, the oil amounts in all the cylinders can be regulated in real time according to the change situations of the rotating speed of a crankshaft so that the oil amounts can be balanced, and the situations of rotating speed fluctuation and torque instability which are caused by the unbalanced oil injection amounts of all the cylinders of the engine are eliminated.

The invention relates to a real-time segmentation system and method based on a hybrid expansion network, and belongs to the field of computer vision. The system comprises a backbone network MobileNetv2 and a lightweight hybrid hole convolution module. The lightweight hybrid hole convolution module realizes comprehensive balance in the aspects of accuracy and high efficiency through multi-scale information and an effective attention mechanism; the lightweight hybrid hole convolution module mainly comprises a depth separable attention module and a hybrid multi-scale module; the depth separableattention module is of a single-layer hybrid convolution design. In one aspect, the system may enhance the expression of information by increasing the depth of the network. On the other hand, the depth separable convolution performs convolution integral deconvolution on each channel, thereby reducing the parameter size and the calculation cost.