33results about How to "Method algorithm is simple" patented technology

The invention discloses a method for identifying pushing action based on a two-dimensional planar camera and a system. The method includes acquiring video images containing persons, and dividing hand detecting areas; realizing binarization processing for divided hands, and acquiring corresponding contours of the hands; comparing the contours of a divided current hand with a standard hand contour set in advance, and judging whether push action of the hand is performed; determining that the pushing action of the hand is performed when contour similarity is larger than a set threshold value T, extracting the hand area of the hand performing the pushing action, extracting the center of the minimum rectangle surrounding the contour of the hand, and creating a historical movement graph; and identifying the pushing action of the hand for the built historical movement graph by the aid of orientation gradient vectors. The method is simple in algorithm and high in action identification rate, and simultaneously burden on users in terms of memory is reduced.

The invention discloses a power grid voltage and current harmonic analysis method and system. An AD converter samples an input voltage signal; a secondary virtual sampling unit is used for carrying out secondary sampling on first sampling data in a virtual sampling period s; a spectrum analysis unit analyzes the data by using an FFT algorithm to obtain the spectrum of the voltage signal; a spectrum leakage estimation unit scans and accumulates all spectral lines except the power frequency signals and harmonic waves thereof in the spectrum to obtain total energy leakage d of the spectrum; and avirtual sampling period adjustment unit adjusts the virtual sampling period s according to the spectrum leakage. According to the invention, a simple fixed hardware circuit is utilized to realize self adaption to frequency drift of the power frequency signals, so that the minimum spectrum leakage of an analysis result is ensured.

A method for designing a nonlinear networked system filter under a multipath fading channel comprises steps of establishing a discrete T-S fuzzy nonlinear model based on the analysis of a nonlinear networked system; establishing an L-order Rice fading model to describe the multipath fading phenomenon of a wireless communication channel; and constructing a non-fragile H[infinite] filter.

The invention relates to an automobile overspeed monitoring technology, in particular to a method for monitoring automobile overspeed based on distributed optical fibers. The method for monitoring the automobile overspeed based on the distributed optical fibers comprises the steps of determining the automobile frequency characteristics through experiments and monitoring the automobile speed on site. The method has the advantages that distributed optical fiber equipment in an existing road section is fully utilized, overspeed detection of passing vehicles is achieved under the condition that cost is not increased, the whole method is simple in algorithm and small in calculation amount, and the application field of distributed optical fibers is expanded.

The invention relates to a three-level active electric filter compensation current calculation method based on non-harmonic detection control. An IGBT start pulse signal, a DC side capacitor voltage and a power source voltage are utilized to calculate an inductor voltage, and a compensation current outputted by a three-level active electric filter is further acquired. A cascade signal delay cancellation (CDSC) module is utilized in a calculation process to acquire a compensation current error signal, and calculation accuracy is improved. The whole calculation process is simple and reliable, advantages of non-harmonic detection control are integrated, and the method is suitable for all NPC type and T type topological three-level active electric filters based on non-harmonic detection control.

The present invention discloses a method for watermarking robust audios with invariable time scale based on zero-crossing rates, which comprises the following steps: firstly, dividing an original audio signal A into a plurality of nonoverlapping audio frames; secondly, calculating the zero-crossing rate of each audio frame, and selecting M1 audio frames with larger zero-crossing rates for embedding watermarks according to a preset threshold value T; thirdly, dividing each one of the M1 audio frames into a plurality of nonoverlapping audio segments of which the number is accordant with the total bit number of the watermarks to be embedded, quantizing the average value of nonoverlapping audio segment samples so as to embed watermark bits, and modifying sample values which correspond to each audio segment of the watermarks to be embedded, quantizing the average value of nonoverlapping audio segment samples so as to embed watermark bits; and finally, interconnecting the audio segments containing the watermarks to obtain audio frames containing the watermarks so as to form the final audios with the watermarks. The method has a simple algorithm, is applicable to all types of audio signals, and not only can effectively resist attacks of conventional signal processing, but also has strong robustness for time scale modifications in a resampling form., but also has strong robustness for time scale modifications in a resampling form.

The invention discloses a method for prolonging the shooting time of a high-speed camera, comprising the following steps: firstly, compressing a high-resolution image collected by a CCD or a CMOS at the high-speed camera end, and storing the obtained compressed image data in a memory of the high-speed camera; Secondly, the compressed image data in the high-speed camera memory is imported into the computer through the high-speed camera data interface or network, and the desired image is restored on the computer side through the compressed image reconstruction algorithm. The algorithm of the method of the present invention is simple and easy to realize by hardware. Only the pixel discarding operation needs to be performed on the high-speed camera side, and the shooting duration of the high-speed camera can be extended in the existing high-speed camera through minor hardware or software changes.

The invention discloses a method for identifying pushing action based on a two-dimensional planar camera and a system. The method includes acquiring video images containing persons, and dividing hand detecting areas; realizing binarization processing for divided hands, and acquiring corresponding contours of the hands; comparing the contours of a divided current hand with a standard hand contour set in advance, and judging whether push action of the hand is performed; determining that the pushing action of the hand is performed when contour similarity is larger than a set threshold value T, extracting the hand area of the hand performing the pushing action, extracting the center of the minimum rectangle surrounding the contour of the hand, and creating a historical movement graph; and identifying the pushing action of the hand for the built historical movement graph by the aid of orientation gradient vectors. The method is simple in algorithm and high in action identification rate, and simultaneously burden on users in terms of memory is reduced.

The invention belongs to the technical field of a generating set, and specifically relates to a transient parameter automatic calculating method of a generating set waveform recorder. The transient parameter automatic calculating method of a generating set waveform recorder includes the steps: calculating the transient regulate rate and stabilization time, and the transient voltage change rate and stabilization time of a generating set; combining with rated parameters of the generating set, according to the alternating-current voltage transient waveform curve acquired by a generating set waveform recorder, automatically and accurately drawing the peak value envelope curve of the alternating-current voltage signal; according to the drawn peak value envelope curve or the rotating speed transient waveform curve, accurately capturing the transient value and the corresponding time when the transient change occurs in the waveform, and when the transient change occurs in extremum and when stable operation is recovered; and combining with the rated parameters of the generating set, automatically calculating the transient parameters of the generating set, such as the transient regulate rate and stabilization time, and the transient voltage change rate and stabilization time. When a test person performs a generating set transient parameter test, only the rated parameters of the generating set are given, thus greatly reducing the work load of the test person.

The present invention discloses a community micro-grid energy storage capacity optimization and configuration method considering a temperature control device. The method comprises a first step of collecting statistics about an annual load of a community level micro-grid, air speed data, environment and temperature data and parameters of all micro power supplies, and calculating an output power of a wind turbine; a second step of making a running policy of a community level single micro-grid to increase new energy consumption; a third step of establishing, based on the running policy, a community level micro-grid energy storage capacity optimization and configuration model including the temperature control device; and a fourth step of according to the data of the first step, using a genetic algorithm to resolve the optimization and configuration model. The method has the beneficial effects that the established model is more comprehensive, the considered factors are more consistent with demands of the actual micro-grid plane including the temperature control device, the algorithm is simple and can be learned and used by engineering staff easily, and the method is universal and can be widely used in temperature control device included micro-grid energy storage device capacity plane and analysis.

The embodiment of the invention discloses a face anti-counterfeiting method and device, which are used to simplify the face anti-counterfeiting method. The method in the embodiment of the present invention includes: acquiring a first human face image through a first camera and acquiring a second human face image through a second camera, wherein the first human face image and the second human face image are images belonging to the same human face; Find the first distance value of the first face image according to the preset distance rule; find the second distance value of the second face image according to the preset distance rule; judge the first face according to the first distance value and the second distance value Whether the image and the second face image are obtained by ingesting a living human face; the preset distance rule is to extract the key points of the face image, and obtain the distance value according to the distance between the key points, and the key points are used to represent the facial features. Whether it is a living human face can be judged by analyzing different face images. Compared with methods such as 3D modeling, this method has a simple algorithm, is easy to implement, and reduces costs.

The invention discloses a method for estimating the capacity of a battery module. The method comprises the following steps: acquiring a charging cut-off temperature of each single battery in a battery module at a respective charging cut-off moment; obtaining a theoretical capacity value and an actual SOC value of each single battery at the respective charging cut-off temperature; and calculating the chargeable electric quantity and dischargeable electric quantity of each single battery according to the theoretical capacity value and the actual SOC value of each single battery at the respective charging cut-off time temperature so as to obtain the capacity of the battery module. According to the method provided by the invention, the discharge capacity of the module can be estimated according to the voltage of each single battery and the capacity of the single batteries forming the module when the battery module is assembled without charging and discharging the module, so that the time for obtaining the capacity of the module is greatly shortened, the efficiency is improved, the purchase cost of charging and discharging equipment of a production line is saved, additional hardware setting is not needed, and the cost is reduced. The cost is low.

The invention relates to an automobile overspeed monitoring technology, in particular to a method for monitoring automobile overspeed based on distributed optical fibers. The method for monitoring vehicle overspeed based on distributed optical fibers of the present invention includes experimentally determining the frequency characteristics of the vehicle and monitoring the vehicle speed on the spot. Advantages: Make full use of the distributed optical fiber equipment in the existing road section, and realize the speeding detection of passing vehicles without increasing the cost. The whole method has simple algorithm and small calculation amount, and expands the application field of distributed optical fiber.

The invention discloses a robust fixed-frequency model predictive control method for an active front-end rectifier. The main points of the technical solution of the present invention are: a robust fixed-frequency model predictive control method for an active front-end rectifier. When the model parameters of the control object do not match the actual parameters, the method calculates the difference between the actual current and the predicted current and real-time The prediction model is compensated to improve the prediction accuracy of the model and obtain the accurate action time of each vector. The vector action time is passed through the modulator to obtain the switching signal for controlling the power device. The robust fixed-frequency model predictive control method of the active front-end rectifier of the present invention can eliminate the influence of model parameter mismatch on the control system, enhance the robustness of the model predictive control system, and realize it when there is a large error in the predictive model The stable operation of the active front-end rectifier is ensured.

The invention provides a method for suppressing multiple access interference of a spread spectrum receiver based on spectrum detection. On the basis of the traditional partial correlation FFT spread spectrum signal acquisition algorithm, the method utilizes the autocorrelation spectrum characteristics of the spread spectrum code and the relationship between the codes of the same family. The cross-correlation spectrum characteristics between them, double detection of useful signal and multiple access interference on the received signal superimposed with multiple access interference, can suppress multiple access interference in the stage of spread spectrum signal pseudo-code and carrier acquisition, this method in spread spectrum The application in the receiver solves the problem of false code or carrier error capture caused by the existence of multiple access interference. The method has the characteristics of simple implementation and obvious effect of anti-multiple access interference.

The invention provides a Capon beamforming-based positioning method and device. According to the Capon beamforming-based positioning method and device, K receiving antennas are set to form a signal receiving array, and M signal transmitting points are set; a covariance matrix Rxx is calculated by using a signal matrix outputted by the signal receiving array; the constraint optimization problem of the linearly constraint minimum variance criterion is solved, so that a spectral function can be constructed; M maximum spectral peaks are searched; and a direction of arrival is calculated. According to the method, beacon points deployed in a monitoring area are adopted to be networked with a wireless gateway so as to communicate with the wireless gateway; data are transmitted to a cloud end through a wireless communication module; cooperative sensing is performed, and the information of signal transmitting points in a network coverage area is acquired and positioned; the monitoring data of the cloud end are matched with a map and the like, so that intelligent parking can be realized. With the method adopted, the number of vehicles does not need to be known in advance or estimated, and therefore sampling data length can be decreased; desired signals are enhanced, interference is suppressed, and therefore, the signal to interference plus noise ratio of the output of a system can be improved; and a robust Capon algorithm is modified to improve the deviation of a direction vector from an actual environment, and therefore, positioning performance can be improved.

The invention belongs to the field of image processing, and particularly relates to a method for monitoring the position and the movement path of a field robot. The method mainly comprises the following steps: 1) identifying the number identity of each field robot; 2) calibrating a shooting height and a shooting posture of a shooting device; 3) identifying an image shot by the shooting device andcarrying out distortion correction; and 4) selecting an original point to establish a coordinate system, identifying the position of the field robot according to the number identity of each field robot, and identifying the movement path of the field robot in combination with the time relationship of the key frames. The field robot is identified by using the colors of the fixed spherical marker,s and compared with identifying the robot by using contour features, the huge calculation workload can be avoided, so that the calculation speed and the monitoring efficiency can be improved; The image distortion correction method provided by the invention is simple in algorithm, and is beneficial to controlling the processing scale of the position image data of the field robot, thereby improving theprocessing speed.

The invention provides a method for determining satellite attitude based on a visible light earth sensor. The method employs the visible light earth sensor to determine the two-axis attitude of a satellite relative to the earth and comprises the following steps: processing an earth image produced by a CMOS imaging device so as to extract the effective boundary of the earth image; then extracting the center of the effective boundary by using least squares fitting; and on the hypothesis that the attitude angle of the satellite relative to the earth is a small angle, approximately calculating the roll angle and pitch angle of the satellite relative to the earth so as to eventually determine the two-axis attitude of the satellite relative to the earth. Compared with a traditional method using an infrared earth sensor for determination of the rolling and pitching two-axis attitude of satellites relative to the earth, the method provided by the invention has the advantages that the method improves the measurement precision of the two-axis attitude of the satellite relative to the earth, is applicable to measurement of the attitude miniature micro-satellites and conforms to the current development trend of micro-satellites.