17results about How to "Processing small amount of data" patented technology

The invention discloses a GIS partial discharge fault detection device and method based on D-S evidence multi-source information fusion, and relates to the technical field of power system control, and the device comprises a signal collection module which is used for collecting an electromagnetic wave signal, a mechanical vibration signal, an ultrasonic signal and a partial discharge optical radiation signal generated by the partial discharge in GIS equipment; the GIS partial discharge fault detection module is used for processing, storing and sending the signals acquired by the signal acquisition module; the coordinator is used for realizing data transmission between the GIS partial discharge fault detection module and the background terminal; and the background terminal is used for receiving the processing information of the GIS partial discharge fault detection module and judging the fault type of the GIS equipment. According to the GIS partial discharge fault diagnosis system, various signals generated by partial discharge in the GIS equipment are detected through the information acquisition module, and the relationship between the characteristic data and the GIS partial discharge fault is established, so that diagnosis of the GIS partial discharge fault is realized, and the fault judgment efficiency of the background terminal is improved.

The invention discloses a pavement disease inspection method based on a vehicle-mounted edge device, and relates to the technical field of pavement disease inspection, and the method comprises the steps: 1, obtaining image data, thermal imaging data and road geometric data of a pavement through an information obtaining module; 2, the information processing module processes the image data to obtain a disease area I; matching the image data with the thermal imaging data to obtain a disease area II; performing height change analysis on the geometric data of the road to obtain a disease area III; 3, the information processing module matches the disease area I, the disease area II and the disease area III with the position of the road surface, and when any position of the road surface is successfully matched with more than two disease areas I, disease areas II or disease areas III, the position of the road is marked as a disease part. According to the method, the multi-modal road surface data are adopted, and various light-weight means are adopted, so that the remarkable optimization effect is achieved in the aspects of performance, efficiency, resource utilization and the like.

The invention provides a digital human intelligent question-answering system and method for a water affair scene, and relates to the technical field of intelligent water affair, and the method comprises the steps: an inquiry receiving module obtains a user question through a digital human; the data updating module obtains real-time water affair data and updates the extended database; the question retrieval module is connected with the intelligent question and answer model and the water affair knowledge base, semantic matching retrieval is performed in the water affair knowledge base based on the user question through the intelligent question and answer model, and a matched question is obtained; an answer matching module queries a matching answer in an answer data set of the water affair knowledge base based on the matching question; the real-time data query module queries the associated real-time water affair data in the extended database based on the matching problem, and generates a real-time data query tag; and the interaction feedback module displays the matching answer and the real-time data query tag through a digital person. According to the invention, the technical problem of low water affair knowledge propagation efficiency caused by tedious water affair knowledge acquisition modes in the prior art is solved, and the water affair knowledge propagation efficiency and propagation effect are improved.

The invention relates to the field of text processing, in particular to a text splitting mark generation method and device, a medium and electronic equipment. Comprising the following steps: obtaining summary information of a sub-text corresponding to each sliding window in a to-be-processed text; generating a semantic change amplitude between any two adjacent summary information; and when any semantic change amplitude is greater than a change threshold, generating a splitting mark at the tail position of the sliding window corresponding to the front summary information in two adjacent summary information. According to the method, a complete text is split into a plurality of sub-texts, then the change size between scenes described by two adjacent sub-texts is reflected through the cosine distance between semantic vectors corresponding to the two adjacent sub-texts, and the change size is used as the basis of text splitting, so that the whole to-be-processed text is reasonably split and marked. Therefore, clearer plot arrangement structures of works can be provided for creators, follow-up modification is facilitated, and meanwhile creation efficiency and quality are improved.

The invention relates to the technical field of industrial information and data processing, and particularly provides a fuel nozzle oscillation frequency measurement method, system and device, a medium and a product, and the method comprises the steps: obtaining the measurement data of a laser for a fuel nozzle; wherein the measurement data comprises at least one of the following data: the current injection angle of the fuel nozzle, the throat width of the fuel nozzle and the distance between the laser and the fuel nozzle; determining a target injection angle of the fuel nozzle based on the measurement data; wherein the target injection angle is the injection angle of the fuel nozzle when the oscillation frequency of the fuel nozzle is measured; controlling the fuel nozzle to work at the target injection angle, and determining an interference signal between reflected laser and incident laser of the laser in the working process; and determining the oscillation frequency of the fuel nozzle based on the interference signal.

The present application proposes a material growth parameter adjustment system and method, including: a data acquisition module, used to obtain a first parameter value and in-situ characterization data corresponding to a growth parameter; a processing module, used to determine a target parameter acquisition model from a parameter acquisition model connected to the adjustment system through an expandable model interface according to the target type and target growth stage of the growing material; a model calling module, used to input at least one of the first parameter value and the in-situ characterization data into a target parameter prediction model through an expandable model interface to obtain an output result; a model data reprocessing module, used to determine a second parameter value corresponding to the growth parameter according to the output result; and a parameter adjustment module, used to adjust the parameter value corresponding to the growth parameter based on the second parameter value. The amount of data processed by the adjustment system is reduced, system freezes are avoided, data processing efficiency is improved, and the timeliness of growth parameter control is improved, and material growth quality and yield are improved.

The invention provides a video processing method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a to-be-processed video frame of a to-be-processed video and a reference frame corresponding to the to-be-processed video frame; the reference frame comprises a video frame in the video to be processed, wherein the number of interval frames between the video frame to be processed and the video frame to be processed does not exceed a preset threshold value; extracting a target single-channel feature of the reference frame, wherein the target single-channel feature can reflect the noise intensity degree of the reference frame; generating a de-noised video frame corresponding to the to-be-processed video frame based on the target single-channel features of the to-be-processed video frame and the reference frame; and generating a de-noised video based on the de-noised video frame. The to-be-processed video frame is subjected to noise reduction processing based on the target single-channel feature of the reference frame, so that rich time sequence information is provided to improve the accuracy of noise reduction processing and relieve inter-frame jitter, the processing data volume and the memory occupied space are reduced, and the computing resources required by noise reduction processing are reduced.

The present invention discloses a prescription picture recognition method, system, device and storage medium, the method comprising obtaining a prescription picture corresponding to a prescription to be recognized, performing text detection on the prescription picture to obtain a text area image; performing feature extraction, feature denoising and feature fusion on the text area image to obtain a target feature map corresponding to the prescription to be recognized; performing image distillation processing on the target feature map to obtain an initial text recognition result; performing named entity recognition and serialization on the initial text recognition result in turn to obtain a target text recognition result of the prescription to be recognized. The present invention realizes effective processing of noise in prescription pictures, not only improves the accuracy and robustness of recognition, but also enhances the understanding of text semantics and the recognition ability of named entities, and can better meet the needs of medical information management.

This application relates to a method, apparatus, and storage medium for determining the drivable area of ​​a residential parking area. The method includes: acquiring an obstacle occupancy grid map and a vehicle trajectory route for residential parking area mapping; generating reference key points on the vehicle trajectory route; searching along the perpendicular direction of the vehicle's heading from the reference key points to both sides of the vehicle trajectory route until a target point is found, where the target point is the obstacle point closest to the reference key point on a straight line along the search direction, determined by the obstacle occupancy grid map; and obtaining a drivable area outline in the residential parking area by sequentially connecting the target points on the same side of the vehicle trajectory route, and determining the drivable area in the residential parking area based on the drivable area outline. This method can reduce the amount of obstacle occupancy grid map data required for vehicle trajectory planning.

The present invention provides a device fault detection and analysis method based on an Internet of Things platform, comprising: obtaining Internet of Things devices that have a communication connection relationship with the Internet of Things platform, and capturing the device work log of the Internet of Things device; extracting the fault information in the device work log; performing cluster analysis on the fault information of all Internet of Things devices that have a communication connection relationship, and searching for the fault cause that matches the fault feature from the preset fault cause set; constructing a fault cause set of the corresponding Internet of Things device based on the fault cluster set to which the fault information contained in each Internet of Things device belongs, and analyzing the deviation degree of the fault cluster set to which each fault cause belongs and the device's own device attributes, calibrating the fault level of the matched corresponding fault cause, and obtaining the fault level of the corresponding Internet of Things device. The method can effectively reduce the amount of processed data, improve the platform's response speed to faults, and improve the efficiency of fault detection and analysis.

The invention relates to a large model training sample construction and student model training method and system for private data. The construction method comprises the steps that a client obtains an original sample; the client divides an original sample into a first sub-original sample and a second sub-original sample based on a division rule, and sends the first sub-original sample and the second sub-original sample to the first server and the second server; the first server and the second server respectively predict the first sub-original sample and the second sub-original sample based on a stored first sub-teacher model and a stored second sub-teacher model, and correspondingly generate and send a first prediction result and a second prediction result to a third server; the third server combines the first prediction result and the second prediction result based on a secret sharing protocol, and generates and sends a complete prediction result to the client; and the client obtains a pseudo label of the original sample according to the complete prediction result, and forms a training sample containing a label by the pseudo label and the original sample. According to the invention, the risk of data leakage is reduced, and the privacy of data is improved.

This invention discloses a lightweight traffic video processing and multimodal intelligent perception system and method, comprising: a streaming media preprocessing module for performing availability detection and parameter configuration on the accessed video stream and outputting a stable video stream; a video polling and frame extraction module for establishing a video polling queue, extracting key frames from the video stream, and splicing them into a lightweight video stream; a deep learning algorithm module for using a lightweight visual model to perform preliminary traffic event detection on the lightweight video stream; a multimodal large model service module for secondary confirmation of detected traffic events, extraction of key information, and generation of event reports; and a perception and analysis platform module for realizing the visualization, hierarchical dispatch, and closed-loop management of traffic events. Compared with existing technologies, this invention reduces the computational power requirements for video processing through video stream polling and key frame extraction mechanisms, enabling lightweight access and processing of large-scale road network videos.

The present disclosure relates to an image processing method and device, electronic equipment and storage medium, comprising: acquiring a plurality of images collected by a plurality of image acquisition modules in the electronic equipment; wherein the field of view of different image acquisition modules is different; in the image preview process, determining a first image from the plurality of images according to an editing operation acting on the display screen of the electronic equipment; cutting off the part of the first image that has no overlap with the content of the editing range acted on by the editing operation to obtain a first image region, and displaying the first image region; in the image storage process after the end of the image preview, determining a second image from the plurality of images according to the editing operation acting on the display screen of the electronic equipment; wherein the image acquisition module of the second image is different from the image acquisition module of the first image region; cutting off the part of the second image that has no overlap with the content of the editing range to obtain a second image region; and fusing the first image region and the second image region to obtain a cropped target image.

The present invention discloses a positioning photoelectric detector, a detection system, a touch screen, a detection method and an application. The touch screen includes a touch screen body and a positioning detection system for the touch screen body. The positioning detection system includes two groups of photoelectric detectors, and the photoelectric detector includes an optical imaging system for collecting touch surface image information, a light scanning mechanism that can emit light to scan the touch surface, a range positioning unit that can form a light spot, and an information processing module that receives information collected from the optical imaging system and controls the working state of the optical imaging system. The present invention reduces the installation error, thereby reducing the error between the actual installation position of the range positioning unit and the P1 of the touch screen itself, thereby improving the installation accuracy; and the present invention is not limited to the size of the touch screen, and is not affected by the assembly accuracy and processing accuracy, so that a touch positioning characteristic with higher positioning accuracy can be obtained.

The embodiment of the invention discloses a shop fence information dynamic adjustment method and device and a medium, and the method comprises the steps: obtaining a plurality of original user positions and a plurality of shop positions; correcting the distance between every two original user positions according to the distance between the original user positions and the co-occurrence frequency in the historical distribution behavior of the rider; clustering the plurality of original user positions according to each corrected distance, so that the original user positions with closer distances and / or more co-occurrence times are more easily clustered into one class; taking each clustering center as each clustering user position; operating an integer programming model by taking the maximization of the total order quantity of the plurality of shops as a target, and optimizing the distribution relationship between the positions of the clustering users and the positions of the shops; and generating fence information of each shop according to the optimized distribution relationship. According to the embodiment, the shop fence information can be automatically and dynamically adjusted.

The invention discloses a road hidden danger positioning method and device based on a camera and a radar, and the method comprises the steps: respectively obtaining the road image data collected by the camera and the laser point cloud data collected by the laser radar when an obstacle enters a monitored road region; performing spatial synchronization processing on the road image data and the laser point cloud data to respectively obtain synchronous image data and synchronous point cloud data; and after the synchronous image data and the synchronous point cloud data are fused, hidden danger positioning processing is carried out on the fused data by adopting a DBSCAN algorithm to obtain a road hidden danger position. According to the method, the road image data and the laser point cloud data can be respectively acquired through the camera and the laser radar, the two data are synchronized and then fused, and finally, the fused data are clustered to determine the hidden danger positioning position, so that the method is small in processing data volume, can improve the processing efficiency, and is suitable for popularization and application. And the two kinds of data can be integrated for positioning processing, so that the positioning precision is improved.

The present invention discloses a configurable channelization implementation method and system for intelligent signal identification, which belongs to the field of signal detection technology. The method includes: dividing an AD sampling signal into two parallel paths, delaying the first path signal and making the second path signal zero-delayed; performing extraction and multi-phase filtering based on a RAM architecture on each delayed signal to obtain a multi-phase signal, performing FFT transformation to obtain channelized original data; converting, combining in the time domain and sorting channels on the channelized original data to obtain ordered channelized baseband IQ data. Signal delay, extraction and multi-phase filtering are implemented based on RAM, without the need to use shift registers, and only a small number of multipliers are required for calculation. Since RAM is rich in resources in FPGA, it will not increase computing resources; and signal delay, extraction, multi-phase filtering, etc. are implemented by controlling the read and write addresses, with low processing data volume and computational complexity, and the implementation process is concise and efficient.