26results about How to "Simple algorithm" patented technology

The invention belongs to the technical field of cutter wear monitoring, and discloses a titanium alloy aviation structural member rough machining cutter wear self-adaptive monitoring method, which comprises the following steps: step 1, determining a cutter wear monitoring threshold T0 according to a machine tool spindle load torque value; 2, within the fixed period T1, a numerical control machine tool spindle load torque value set A in the rough machining process of a tool is collected; 3, performing low-pass filtering on the data in the set A to obtain a data set B; 4, performing kurtosis value analysis and evaluation processing on the set B to obtain a data set X; 5, performing data classification on the data set X by using a support vector machine, and obtaining a data set T by taking a set with the maximum number after classification; step 6, calculating a torque average value # imgabs0 # of the data set T; and step 7, performing cutter wear self-adaptive monitoring on the torque average value # imgabs1 # of each period according to a threshold value T0.

The invention discloses an ultrasonic oil smoke detector which comprises a support, an ultrasonic transmitter, an ultrasonic receiver and a main board, wherein the ultrasonic transmitter, the ultrasonic receiver and the main board are installed on the support. The ultrasonic transmitter faces the ultrasonic receiver; the mainboard comprises a power interface, a main control chip connected with the power interface, and a clock circuit and an operational amplifier circuit which are electrically connected with the main control chip; the ultrasonic transmitter is electrically connected with the main control chip, the ultrasonic receiver is connected with the input end of the operational amplifier circuit, and the output end of the operational amplifier circuit is electrically connected with the main control chip. According to the invention, the use of devices such as a temperature sensor and a pressure sensor which are greatly influenced by conditions such as temperature and humidity can be avoided, and the accuracy and sensitivity of the gas detector are improved by directly utilizing the characteristic that ultrasonic waves are not influenced by temperature and humidity.

The invention discloses an active damping parameter design method and device for a grid-forming flexible DC converter station. The method comprises the following steps: obtaining negative sequence impedance according to voltage and current at a grid-connected point; according to the negative sequence impedance, obtaining active damping impedance in a plural form and converter station original impedance; according to the active damping impedance and the converter station original impedance, combining with a damping compensation controller to construct functions of an impedance real part about frequency change, and respectively obtaining a first function and a second function; the damping compensation controller sequentially comprises a band-pass filtering link, a gain resistance link and a compensation gain link; obtaining a negative sequence equivalent resistance expression of the AC side of the converter station according to the first function and the second function; obtaining a parameter range of a damping compensation controller according to the negative sequence equivalent resistance expression in combination with an integral area method; and selecting parameters of the damping compensation controller according to the parameter range.

This invention discloses an infrared positioning system, including an electronic tag, a camera base station, and a processor. The camera base station includes a first camera, a second camera, and a filtering device. The filtering device includes a switching component and a narrowband filter. The narrowband filter and the switching component are connected and can move under the action of the switching component. The electronic tag is used to periodically radiate infrared encoded information. The first camera is used to capture a first visible light image. The second camera is used to capture a second visible light image when the narrowband filter is located to one side of the second camera, and to capture an infrared image when the narrowband filter is in front of it, so as to capture a target carrying an electronic tag. The processor is used to obtain the mapping relationship between the pixel position coordinates of the infrared image and the first visible light image, and to process the infrared image to obtain the center pixel coordinates of the target and the number of the carried electronic tag, thereby obtaining the position of the target according to the mapping relationship and the center pixel coordinates of the target.

The invention discloses a bus current estimation method and device based on a GTM module. The problems that existing bus current calculation is high in hardware cost, large in workload, short in collection period, poor in calculation precision and complex in algorithm, and a motor control algorithm needs to be combined are solved. The method comprises the steps of collecting and obtaining a three-phase current sampling value of a motor, obtaining a three-phase upper bridge arm IGBT switch state signal, determining a three-phase current value according to the IGBT switch state of the three-phase upper bridge arm, obtaining a candidate bus current value according to summation of the three-phase current value, obtaining all sampled candidate bus current values in a filtering period, and carrying out average filtering to obtain a bus current value. Real-time three-phase current is calculated through operation of the GTM module, rack calibration is reduced, a bus current sensor is canceled, the algorithm is simple, logic operation can be operated in the GTM programmable module, and CPU resources of a main chip do not need to be independently used.

The present disclosure relates to an image registration method, device, terminal and storage medium, the method comprising: obtaining a reference image of a photographed object and multiple target images; wherein the target image and the reference image are images generated by a terminal photographing the same photographed object at the same photographing position, and the reference image includes depth information; and performing image registration on the multiple target images according to the depth information of the reference image. The algorithm of the method is simple, the amount of calculation is small, and it is applicable to a variety of extreme scenes (such as scenes with very dark light, scenes with many repeated features of the photographed object, scenes with unclear features of the photographed object, or scenes with large information differences of multiple images obtained by multiple camera modules, etc.), and can well complete the registration of multiple target images, facilitate the subsequent processing of multiple target images, and thus improve the shooting effect.

The application relates to an online self-diagnosis optimization method and device for a gyroscope with an arbitrary configuration. The method comprises the following steps: determining a plurality of gyroscope groups from a first number of gyros of a gyroscope sensor in a combined manner; traversing the gyroscope groups, and judging whether three gyros in each traversed gyroscope group are singular; if yes, the gyroscope group is not processed, and the next gyroscope group is traversed; if no, other gyros except the gyroscope group in the first number of gyros are traversed in turn, a balance equation of each traversed gyroscope and the three gyros in the gyroscope group is constructed, the three gyros in the gyroscope group and the gyroscope are scored based on the balance equation, and the score of each gyroscope is recorded and accumulated; after each gyroscope except the gyroscope group is traversed, the next gyroscope group is traversed; and gyros with a total score lower than a preset value are determined as to-be-diagnosed gyros. The application can perform online diagnosis on gyros with an arbitrary configuration, and has strong universality.

The invention discloses a permanent magnet synchronous motor harmonic suppression method based on an improved particle swarm algorithm, and relates to the technical field of PMSM harmonic suppression, and the method comprises the steps: S1, obtaining a harmonic current component through the electrical angle and three-phase current of a permanent magnet synchronous motor; s2, constructing an algorithm value function according to the harmonic current component; and S3, obtaining a harmonic suppression result of the permanent magnet synchronous motor based on an improved particle swarm algorithm according to the harmonic current component and the algorithm value function. According to the method, a current component under a rotating reference system is obtained by utilizing multiple synchronous rotating coordinate system transformation, and then a corresponding LPF is selected for filtering so as to extract current harmonics; according to the method, decoupling compensation of current harmonics is carried out by establishing a shift multi-reference system, and compared with other methods, the algorithm is simpler; according to the method, the amplitude and the phase of dead zone compensation by improving the particle swarm optimization are not affected by motor parameters, the iteration speed is high, and the method is not prone to falling into a local optimal solution.

This invention relates to a log access method, apparatus, and storage medium, belonging to the field of embedded software log management technology. Addressing the problems of existing embedded log access systems, such as complexity, high resource consumption, low access efficiency, and poor operability, this invention employs a fast access algorithm based on time-address mapping. It directly calculates the physical storage address of the log using time information, eliminating the need for a file system and mapping table, and requiring no additional data structures. This invention features a simple algorithm, high efficiency, and low resource consumption, enabling rapid log location and stable access. It is suitable for resource-constrained scenarios such as embedded devices, effectively balancing the reliability, timeliness, and operability of log access.

This invention relates to a single-stage fine-grained target detection method and apparatus based on remote sensing images. The method includes: acquiring image data and label data; cropping and flipping the image data to construct training and testing sets; constructing a feature extraction network using a convolutional neural network as the detection model; extracting features from the image data using the feature extraction network; and outputting the location and category information of fine-grained targets in the image. A positive and negative sample allocation algorithm is used to divide the location information boxes into positive and negative samples, and the convolutional neural network is used to learn the allocation of positive and negative samples. Based on the PyTorch deep learning framework, the network structure is written in Python, and the convolutional neural network is trained using the image and label data in the training set to obtain the target detection model. The image data to be detected is used as input to the target detection model to output the category and location information of the target objects in the image data to be detected.

The present invention provides an on-orbit calibration method for a space target posture measurement system that integrates vision and laser, which is used to solve the technical problems that the existing calibration methods based on special calibration objects such as chessboards have poor versatility in setting calibration objects for specific usage scenarios, or the existing calibration methods based on ordinary scenarios have large computational complexity and high requirements for computing resources. The on-orbit calibration method for a space target posture measurement system that integrates vision and laser provided by the present invention first establishes a joint calibration model of a visual sensor and a laser rangefinder, and on this basis, improves the traditional orthogonal iteration algorithm from two aspects: calculation of iterative initial values ​​and simplification of iterative algorithms, so as to solve and optimize the posture conversion relationship between the laser coordinate system and the visual coordinate system. It only uses a part of a non-cooperative target in space as a laser projection target, and can achieve on-orbit high-precision calibration of the joint posture measurement system of a visual sensor and a laser rangefinder.

The application discloses a network-constructing type flexible direct current station control method and device based on coupled virtual impedance, and the method comprises the following steps: obtaining three-phase currents and three-phase voltages of an alternating current side of a flexible direct current station; obtaining a control voltage of the flexible direct current station according to the three-phase voltages; filtering dq-axis fundamental frequency components of the three-phase currents according to a preselected filter to obtain dq-axis oscillation components; obtaining a dq-axis direct compensation voltage according to the dq-axis oscillation components and a first control coefficient; performing decoupling control on the dq-axis oscillation components, a second control coefficient and a third control coefficient, and then performing integral control to obtain a dq-axis decoupling compensation voltage; adding the dq-axis direct compensation voltage and the dq-axis decoupling compensation voltage to obtain a dq-axis damping remodeling compensation voltage; and superimposing the control voltage of the flexible direct current station and the dq-axis damping remodeling compensation voltage to perform modulation and control.

The invention relates to exposure equipment, which comprises a target light projection module, a to-be-exposed workpiece, a focusing light processing module and a focusing module, and is characterized in that the target light projection module is used for forming a target focusing light beam and a target exposure light beam on the to-be-exposed workpiece; the focusing module comprises a one-dimensional second linear image sensor for receiving the first target projection beam to form a first focusing pattern and for receiving the second target projection beam to form a second focusing pattern; the target projection light beam is obtained by processing a target focusing light beam reflected by the to-be-exposed workpiece based on the focusing module, and the focus position of the target focusing light beam on the to-be-exposed workpiece is determined based on the light and shade contrast of the first focusing pattern and the second focusing pattern. The to-be-exposed workpiece is subjected to exposure processing at the focus position based on the target exposure light beam. The one-dimensional linear image sensor only needs to process one-dimensional data, and the algorithm and the processing process are relatively simple, so that the overall focusing speed of the exposure equipment is improved.

The present invention relates to a novel X-ray foreign body detection system with dual light sources and four viewing angles, comprising a transmission device and a first detection module and a second detection module symmetrically arranged, wherein the first detection module comprises a first X-ray light source generator device, a first collimating spectrometer device, a first viewing angle X-ray receiver device and a second viewing angle X-ray receiver device, and X-rays emitted from two output ends of the first collimating spectrometer device are respectively received by the first viewing angle X-ray receiver device and the second viewing angle X-ray receiver device; compared with the prior art, the present invention can solve the problem of poor detection effect of canned products with a single viewing angle and more blind spots by arranging X-ray light source generator devices on both sides and performing spectrometry based on the collimating spectrometer device, while being different from the traditional one-plus-one combination mode of a multi-light source system, and can obtain images on both sides, thereby improving consistency while improving imaging quality and imaging information.

The invention relates to a platform type laser ranging angular position measuring system, and belongs to the technical field of laser ranging. The device for measuring the angular position is placed in the electronic cabin through the laser distance measuring device, the laser beam is emitted through the distance measuring device, the laser return time is measured, and the relative position of the movement mechanism of the optical cabin is determined. According to the laser ranging type angular position measuring system, heading and pitching potentiometers or rotary transformers are omitted in the optical cabin. Compared with an existing potentiometer position measuring system, the laser ranging type angular position measuring system is simple in structure, simple in algorithm and small in occupied space, meanwhile, a movement mechanism is simplified, and the reliability of a product is improved. The system calculates a corresponding motion position through a calculation process of the laser ranging system. The design scheme is simple and reliable, and has obvious advantages in miniaturized product design.

The application discloses an image color style adjustment method and device based on an ISP. A source image is acquired from a first imaging system, and first probability density cumulative distribution data of the source image is determined; second probability density cumulative distribution data of a target image is acquired in advance, or the target image is acquired from a second imaging system, and the second probability density cumulative distribution data of the target image is determined; a gray scale mapping table of each component channel of the source image and the target image is obtained according to the first and second probability density cumulative distribution data; a third gray scale value of each pixel after adjustment is determined according to a first gray scale value of each pixel of each component channel of the source image and a corresponding gray scale mapping table, and an output image after color style adjustment is obtained. The color difference of different devices can be eliminated, an image with consistent color style is obtained, and the method has strong universality.

The application discloses an aluminum-silicon coating plate integrated door ring lap joint double-beam laser tailor-welding process, and belongs to the technical field of the integrated door ring tailor-welding technology, and comprises the following steps: (1) obtaining each part of the sheet by laser cutting the aluminum-silicon coating plate; (2) sheet lap joint: the sheet lap joint position should be selected on one side of the patch plate, namely the weld seam side; the lap joint structure is two layers, when the two layers are lap jointed, the thinner sheet is placed on the upper layer, and the thickness ratio of the upper and lower layers is controlled to be 1; 1-3; (3) preparing a welding wire for the lap joint tailor-welding; the welding wire comprises a welding wire body and a composite layer on the surface; and (4) laser tailor-welding. The lap joint double-beam laser tailor-welding process solves the butt joint gap problem, can realize high tensile strength of the weld seam, standard penetration, no defects of the weld seam and a product yield of more than 99.5%.

The application discloses a cleaning method and a cleaning robot. The cleaning method is applied to the cleaning robot. The cleaning robot comprises a body, a swing arm mechanism and a skirting line cleaning module. The skirting line cleaning module is connected to the swing arm mechanism. The swing arm mechanism is movably connected to the body to move between a retracted position and a swing-out position. The method comprises the following steps: in response to a cleaning demand for a boundary of a working area, the cleaning robot is controlled to move to a boundary position; when the distance between the body and the boundary meets a predetermined requirement, the swing arm mechanism is controlled to move to an along-edge position to clean the boundary. The along-edge position is located between the retracted position and the swing-out position. The application controls the swing arm mechanism to be in the along-edge position to perform skirting line cleaning, which is beneficial to controlling the skirting line module and the boundary of the working area to keep a proper distance, and gives consideration to cleaning effect and working stability.

The application discloses a kind of network equipment failure dynamic monitoring methods, comprising the following steps: collection equipment state data and log data;Preset threshold rule and abnormality detection model, equipment state data and log data are analyzed, obtain fault message set;Get equipment historical state data;Equipment historical state data are aggregated and counted, obtain the failure mode and abnormal trend of equipment;Based on fault message set, and the failure mode and abnormal trend of equipment, generate fault diagnosis report;Based on fault diagnosis report, the discrete fault message of different equipment, different time period is associated, constructs fault propagation graph atlas;Based on fault propagation graph atlas, in combination with shortest path analysis, realize fault location.The application realizes efficient fault monitoring, intelligent diagnosis and fast positioning under the heterogeneous network environment, significantly improves the availability and stability of network, provides strong support for the operation and maintenance management of large-scale complex network.

The present disclosure relates to a vehicle body roll swing control method, a controller, a vehicle and a storage medium. The vehicle body roll swing control method comprises: obtaining an excitation frequency of a vehicle running road surface; determining a target preset frequency band corresponding to the excitation frequency, and a target preset corresponding relationship corresponding to the target preset frequency band, wherein the target preset corresponding relationship is a corresponding relationship between the excitation frequency of the road surface and the current of the shock absorber, different target preset frequency bands correspond to different target preset corresponding relationships; and adjusting the current of the shock absorber according to the excitation frequency and the target preset corresponding relationship to adjust the damping of the shock absorber. The technical solution provided by the present disclosure uses only the target preset corresponding relationship between the road surface excitation frequency and the current of the shock absorber to adjust the current of the shock absorber according to the road surface excitation frequency, realizes the control of the vehicle body swing and good vibration isolation performance, and the algorithm is simple and saves computing power.

The present invention provides a method and device for automatically determining the focus position of a fluorescent dark-field camera, the method comprising: obtaining immunofluorescence images of different focus positions of a slide; grayscale processing the immunofluorescence images to form a first information set of the immunofluorescence images; blurring and grayscale processing the immunofluorescence images to form a second information set of the immunofluorescence images; calculating the MSE value of the immunofluorescence images based on the first information set and the second information set, and the MSE value is used as the clarity value of the immunofluorescence images. The method for automatically determining the focus position of a fluorescent dark-field camera provided by the present invention can effectively and quickly determine the focus position of the fluorescent dark-field camera, has a fast focusing speed, high efficiency, and is easy to operate automatically.

The invention discloses a steering process collision avoidance method and system based on speed compensation, and the method comprises the steps: carrying out the filtering and compensation of collected environment information and vehicle information in the steering process of a vehicle; state judgment and scene screening are carried out on the environment information and the vehicle information after filtering and compensation processing, and system state information and potential collision risk scene information are output; and performing risk judgment according to the system state information and the potential collision risk scene information, generating a risk assessment result and judging whether an emergency braking action is triggered or not. According to the method, the problem of inaccurate speed of the target object in a large steering scene is solved, and the false triggering probability of emergency braking is reduced.

The invention relates to a battery car anti-collision early warning method and system based on an intelligent algorithm. The method comprises the steps that a dynamic image and a static image of an obstacle around a battery car and the distance between the battery car and the obstacle are obtained through image obtaining equipment and an ultrasonic sensor; and taking the environmental data as the input of the FusionNet multilayer perceptron model to call the FusionNet multilayer perceptron model to learn and analyze the environmental data so as to identify the obstacle and predict the moving path of the obstacle. And calling a dynamic risk assessment algorithm based on Bayesian statistics to calculate a risk assessment result of collision between the battery car and the obstacle according to the moving path of the obstacle, and adjusting a collision early warning level and obtaining an anti-collision measure according to the risk assessment result. And when the collision early warning level exceeds the preset level, an early warning signal is sent based on the anti-collision measures, and a reaction mechanism of the battery car is started, so that the battery car is prevented from colliding with the obstacle.

The invention discloses a sensor fault dynamic diagnosis method and system for fault tolerance of an engine control system, a medium and equipment, and the method comprises the steps: calculating a predicted value of a gas path parameter through an engine part-level model according to an input parameter; calculating a residual signal between the measured value of each gas path parameter sensor and the corresponding gas path parameter predicted value; filtering the gas path parameter residual signal; calculating a root-mean-square error between the predicted value of the low-pressure rotor speed of the engine and the measured value of the low-pressure rotating speed sensor, and recording the root-mean-square error as a predicted error of the low-pressure rotor speed; calculating corresponding dynamic thresholds for fault diagnosis of other gas path sensors by taking the prediction error of the rotating speed of the low-pressure rotor as a reference; setting a fault indicator, if a residual error between a sensor measurement value and a model prediction value is greater than a dynamic threshold value, increasing an indicator value, otherwise, decreasing the indicator value; when the fault indicator value is greater than a set counting boundary, a sensor fault is reported.

The invention belongs to the technical field of automobile thermal management systems, and particularly relates to a gear wear compensation method and related equipment. The gear wear compensation method comprises the steps that when a motor is subjected to reversing, the number of rotation turns of the motor is controlled to be an error correction value, and the error correction value is obtained through the following steps that S1, when an output shaft of a gearbox is stopped at two swing stop points, the number of operation turns of the motor is recorded, and the actual number of operation turns of the motor is obtained; and S2, solving the difference between the actual number of operation turns of the motor and the theoretical number of operation turns of the motor to obtain an actual error value, summing the theoretical number of operation turns of the motor and the actual error value to obtain a compensated error correction value, and updating the error correction value to a preset position. Compared with two existing technologies, the method and the device have the advantages that traditional compensation logic is separated, existing in-loop compensation is directly changed into out-loop compensation, the control complexity of multistage gear transmission is reduced, the technology implementation is more convenient, and the control method and the device are more stable.

The present application provides an image processing method, device, equipment, storage medium and computer program product, the image processing method comprises: obtaining an image to be processed and N reference images, the image to be processed and the reference images have first noise respectively, N is a positive integer greater than or equal to 2;According to the N reference images, a correction data map is obtained, the correction data map includes the first noise after smoothing processing;The image to be processed and the correction data map are weighted and averaged to obtain a mean value map removing the first noise.The present application can carry out the noise reduction processing to the image, improves the accuracy of target information identification in the image.