9results about How to "Simple algorithm" patented technology

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 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.

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 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 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 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.