191results about How to "Reduce data processing" patented technology

The invention discloses an industrial park net load prediction method and system based on a multilayer perceptron, and the method comprises the following steps: dividing historical industrial park operation data according to an audio frequency collection region, and obtaining region historical operation data corresponding to the audio frequency collection region; performing clustering analysis on the historical operation data of each region based on the audio frequency fluctuation, and obtaining audio frequency-aging correlation according to a clustering result; training by using historical industrial park operation data, historical distributed energy operation data and audio frequency-aging correlation to obtain an industrial park net load prediction model; and obtaining industrial park net load prediction data according to the current industrial park operation data, the current distributed energy operation data, the industrial park load net prediction model and the audio frequency-aging correlation. The method has the beneficial effects that an aging model does not need to be constructed for each industrial device, the overall model structure is simplified, and meanwhile, the prediction efficiency and prediction accuracy of the load of the industrial park are improved.

The invention discloses a chamfer defect detection method, device and equipment and a storage medium, and relates to the technical field of defect detection.The method comprises the steps that an obtained to-be-detected device image is preprocessed, and chamfer contour points and chamfer contour point pixel coordinates are determined in the preprocessed image; correcting the pixel coordinates of the chamfer contour points, and fitting a chamfer edge straight line by using the corrected pixel coordinates of the chamfer contour points; according to the chamfer edge straight line, screening the corrected chamfer contour point pixel coordinates, and determining a target chamfer end point; and calculating the actual chamfer length based on the target chamfer endpoint, and comparing the actual chamfer length with the preset chamfer length to judge whether the chamfer has defects or not. According to the method, the detection requirements of chamfers of different shapes and sizes can be met by preprocessing and correcting the images, fatigue and subjective judgment errors possibly existing in traditional manual detection are avoided through automatic image processing and data analysis processes, and the detection efficiency is improved.

The invention discloses a video coding method and a related product. The method comprises: inputting a to-be-coded video, n segmentation frame numbers, a reference code rate control parameter and (n + 1) to-be-coded deviations to a coder, the segmentation frame numbers being frame numbers of video frames in the to-be-coded video, the n segmentation frame numbers being used for determining (n + 1) to-be-coded video segments from the to-be-coded video, and the n being a positive integer; determining (n + 1) to-be-coded video segments determined by the n segmentation frame numbers from the to-be-coded video through an encoder; determining (n + 1) target code rate control parameters by the encoder based on the reference code rate control parameter and (n + 1) to-be-encoded deviations; and encoding the (n + 1) to-be-encoded video segments by the encoder based on the (n + 1) target code rate control parameters to obtain a video encoding result of the to-be-encoded video output by the encoder. Through the method, the video coding speed can be improved.

The invention belongs to the technical field of charging pile management, and discloses a charging pile intelligent management method and system. Comprising the following steps: carrying out data acquisition on a target area and charging piles needing to be managed in the target area to obtain corresponding charging pile data and area load data; uploading the data to a pre-constructed scheduling block chain; performing electric pile diagnosis on the corresponding charging pile based on the collected electric pile data to obtain a corresponding fault diagnosis result, judging whether the charging pile has a fault based on the fault diagnosis result, and if not, marking the corresponding charging pile as a healthy electric pile; if the fault exists, fault information is generated and fault early warning is carried out; performing power distribution load management on the corresponding healthy electric piles in combination with the collected regional load data; according to the invention, intelligent management of the charging pile is realized, the operation efficiency and safety of the charging pile are improved, and more efficient power distribution load management is realized in combination with the charging demand of a user.

The embodiment of the invention discloses a power equipment abnormity identification method and device, electronic equipment and a medium. A specific embodiment of the method comprises the following steps: for each piece of power equipment acquisition information in a power equipment acquisition information set, executing the following exception identification steps: performing feature extraction on each power equipment image in a power equipment image group included in the power equipment acquisition information to generate power equipment image features; inputting the electrical equipment image feature group into a pre-trained electrical equipment appearance anomaly detection model to obtain an electrical equipment appearance anomaly detection result; performing anomaly detection on a power equipment operation data set included in the power equipment acquisition information to generate an operation data anomaly detection result; and in response to determining that the appearance anomaly detection result of the power equipment meets the appearance anomaly alarm condition, sending equipment anomaly alarm information to an associated power equipment maintenance terminal. According to the embodiment, the efficiency and accuracy of detecting the operation data of the power equipment are improved.

The invention relates to a multi-scene safety production supervision method, system and device based on intelligent positioning. The method comprises the steps that operation and maintenance monitoring is carried out on an application corresponding to each production scene through an enterprise side safety production risk monitoring and early warning subsystem, and production related information is acquired. Different source data in the production related information are integrally processed, a standard data set is generated, a label is added to each piece of source data in the standard data set, and a labeled data set is obtained. And constructing a safety production monitoring model according to the danger attributes, and inputting the labeled data set as a sample data set into the safety production monitoring model for optimization training to obtain an optimized safety production monitoring model. And deploying the optimized safety production monitoring model to the edge computing device in a distributed manner, so that the operation and maintenance monitoring subsystem carries out supervision processing according to the position information transmitted by the personnel positioning system and the production process information. By adopting the method, the real-time performance and accuracy of production safety monitoring in the dangerous chemical environment can be improved.

The invention discloses a rail transit operation safety event monitoring system and method based on the Internet of Things, and relates to the technical field of rail transit operation safety event monitoring, and the system comprises a plurality of sensor units, a plurality of edge preliminary analysis modules, a plurality of ad hoc network modules, and a rail transit operation central safety analysis module. According to the invention, the side cloud is combined with a main framework to realize acquisition of sensors and visual data, a plurality of sensor units can realize real-time monitoring of different monitoring items, the visual monitor has a generalization monitoring capability, and visual identification of different abnormal features is realized based on a visual feature comparison algorithm; the edge preliminary analysis module is arranged, through preliminary screening of the edge preliminary analysis module, the data processing amount of the rail transit operation central safety analysis module can be greatly reduced, the computing power requirement and the hardware arrangement cost of a server are reduced, and finally the rail transit operation central safety analysis module only carries out safety evaluation on data with large risks. And the safety assessment efficiency is high.

The invention discloses a data classification and grading method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring application program interface (API) data to be processed; sampling and filtering the to-be-processed API data according to the user identification information and the interface identification information by taking a preset time period as a period to obtain sampled and filtered API data; and classifying and grading the sampled and filtered API data, and storing the classified and graded API data in a first data index database. In the whole data classification and grading process, before the API data is classified and graded, periodic sampling and filtering are performed on the to-be-processed API data according to the user identification information and the interface identification information, so that repeated interface calling data when the same user calls the same interface within the preset time period is effectively removed, and the data processing efficiency is improved. According to the method, the data processing amount when the system classifies and grades the API data is reduced, the classification and grading efficiency of the API data is improved, and then the security risk detection efficiency of the API data is improved.

The invention discloses a data processing method and device, a nonvolatile storage medium and electronic equipment. The method comprises the steps that input information is obtained, the input information comprises table data and user requirements, and the user requirements are used for indicating requirements met by texts generated according to the table data; the user demand is rewritten according to the table data, a target user demand is obtained, and the target user demand comprises a newly-added field generated according to the table data; performing multi-stage screening in the table fragments according to a target user demand to obtain a target table fragment; a target text is generated according to the target table fragment and the target user requirement, and the target text comprises data corresponding to the newly-added field. According to the method and the device, the technical problem that a result obtained by performing content recreation based on the table data is inaccurate due to small association degree between the input user demand and the table data when the table data is analyzed and the content is recreated in the related technology is solved.

The invention provides a low-code system for data analysis and data cleaning based on Internet of Vehicles data. The low-code system comprises a multi-protocol adapter, a user-defined analysis rule writing interface, a dragging type rule configuration interface, a data processing module, a forwarding mechanism unit, a monitoring and log tracking unit and a message labeling and fingerprint generation unit. Wherein the multi-protocol adapter is used for supporting log data acquisition of various network protocols; the user-defined analysis rule writing interface allows a user to write specific analysis logic according to a data format and a service requirement; meanwhile, for compatibility of various data codes and formats, rule templates and examples are provided to guide a user to compile analysis rules, and the user is helped to quickly position and correct problems in the analysis rules by integrating corresponding error detection and debugging tools; and a user carries out graphical operation combination input, output and analysis on rule nodes through the drag-and-drop rule configuration interface.

The invention discloses an algorithm for api authority control. The algorithm comprises the following steps: collecting user attributes in an API request; verifying the integrity and validity of the collected user attributes; matching the verified user attribute with a pre-stored access control policy to determine an applicable policy; based on the matched strategy, the access authority of the user to the requested API is evaluated, and a permission or rejection decision is generated; and executing the decision, and performing audit recording on the access attempt. Attribute-based access control is adopted to allow dynamic adjustment of access strategies according to wide conditions such as places and time, the method is more suitable for complex and dynamic environments, the algorithm provides clear strategy matching and authority evaluation processes, and a system administrator is helped to understand and manage access control rules more easily.

The invention discloses a contrast demodulation method based on synchronous scanning phase shift, and belongs to the technical field of digital measurement, and the method comprises the following steps: a, building a structured light illumination measurement system; b, longitudinal scanning is carried out through a structured light illumination measurement system; c, acquiring a longitudinal light intensity response curve, and longitudinally extracting a light intensity value of each scanning position to obtain a light intensity function; step d, performing local Fourier transform processing to obtain frequency spectrum information of the light intensity curve; e, filtering the frequency spectrum information of the light intensity curve to obtain filtered fundamental frequency information; and f, carrying out inverse Fourier transform on the filtered fundamental frequency information, and carrying out modulus operation to obtain a contrast function of a single pixel point changing along with the scanning position. According to the invention, through parallel operation of projection fringe phase shift and scanning image acquisition, rapid and high-precision demodulation of the contrast is realized by using local Fourier transform.

The invention provides a virtual object control method and device, electronic equipment and a readable storage medium, and the method comprises the steps: providing a game scene corresponding to a game match in response to a match start instruction, and the game scene comprises a first game role and a second game role which respectively play a first game identity; in response to the situation that the first game role in the game scene is corrupted by the second game role, the first game role is controlled to be converted into the second game identity from the first game identity, so that the first game role continues the current game with the second game identity. Therefore, the data processing amount of the server can be reduced, and the performance overhead of the game server can be reduced. Meanwhile, for the player controlling the first game role which is corrupted, the player cannot quit the current game immediately after being corrupted, the chance that the player continuously participates in the current game to corrupt the second game role to pick up falling materials can be obtained again, and the game experience of the player is further improved.

The invention belongs to the technical field of rock detection, and particularly discloses a nondestructive determination method for rock damage degree in an acidic water environment and a storage medium. The determination method comprises the following steps: collecting a plurality of target rock samples, screening qualified rock samples by adopting an ultrasonic speed meter, and marking; dehydrating and drying the qualified rock sample, and measuring and recording the dry density rho 0 of the dehydrated and dried rock sample; extracting at least three dehydrated and dried rock samples, carrying out a compression test, and calculating an elastic modulus average value E0 and a Poisson's ratio average value v0; standing and soaking the dehydrated and dried rock samples in an acid solution; after the rock sample is soaked for a preset time, taking out the rock sample, cleaning the acid solution on the surface, then dehydrating and drying the soaked rock sample, and measuring the dry density rho t after erosion; and establishing a rock mass damage rate eta model by combining data before and after erosion. According to the method, the damage degree is comprehensively reflected by measuring the physical and mechanical parameter change of the rock sample, the rock sample does not need to be damaged, uncertain factors in the test process are eliminated, and the data processing amount is small.

The application provides a code modification method and device based on semantic update fragment generation. The code modification method comprises the following steps: generating a semantic update fragment and a first reconstruction code according to original code and modification description information; performing code modification verification on the semantic update fragment according to the code difference between the original code and the first reconstruction code; when the code modification verification is passed, generating a second reconstruction code by modifying the original code according to the semantic update fragment, and determining whether the code modification of the second code modification model is correct according to the code comparison result between the second reconstruction code and the first reconstruction code; taking the original code, the semantic update fragment and the first reconstruction code corresponding to the second code modification model with code modification errors as model training data to perform model training to obtain a target code modification model; and modifying the to-be-modified code by using the target code modification model to obtain a complete code. The application can reduce inference delay and improve code modification efficiency.

The invention relates to an edge calculation method and system of an edge server. The method comprises the following steps: sending to-be-processed data generated by terminal equipment to a nearest edge server for data complexity calculation; when the complexity is not greater than a preset complexity threshold, sending the to-be-processed data to a matched edge server for processing, otherwise, performing data decomposition to obtain data blocks with different complexities; according to the data type and the corresponding complexity, different data blocks are transmitted to a matched edge server for processing and sent to the nearest edge server for fusion processing, and the fusion processing is returned to the terminal equipment; data prediction is carried out through the data prediction model, a prediction result is transmitted to the data decomposition module for pre-decomposition, and after decomposition is carried out according to a pre-decomposition scheme, the prediction result is sent to a matched edge server for data processing; and the matched edge server transmits the data processing result to the nearest edge server for data fusion and then returns the data processing result to the terminal equipment, so that processing of large-scale data and complex calculation tasks is realized.

The present invention proposes a radar condensation point quality assessment method and system. The method includes: using the attribute value of the point track to calculate the standard deviation of the attribute, and then calculating the discrete degree assessment score of the attribute according to the standard deviation of the attribute; then performing weighted summation on different attributes according to the attribute importance to obtain the attribute discrete degree score; calculating the azimuth distribution score according to the number of scattered point azimuth gaps and the total number of scattered points whose front position difference of the front and rear points is less than or equal to the radar rotation azimuth; taking the minimum number of scattered points and the maximum number of scattered points according to engineering experience, and then applying the method of the first step to calculate the point track quantity score; adding the attribute discrete degree score, azimuth distribution score and point track quantity score to obtain the point track quality total score. In the scheme proposed by the present invention, the condensation point quality score is the basis of track quality assessment, which is conducive to improving the accuracy of track quality assessment, reducing the false alarm rate, and increasing the life cycle of the target track.

The invention provides a dual-frequency phase-comparison underwater acoustic ranging method, which comprises the following steps that: step 1, a sonar transmitter transmits a dual-frequency continuous wave signal to a target, and a sonar receiver receives a target echo; 2, for one frame of data of the target echo, two line spectrum peak values with the maximum amplitude and the second maximum amplitude in a power spectrum are searched, and a frequency difference is obtained; according to the frequency difference range and the amplitude threshold, carrying out availability confirmation on the two line spectrum peak values; and 3, comparing phases corresponding to peak points of the peak values of the two line spectrums, and determining a target distance of the current frame through a phase difference. According to the method, the continuous wave system sonar is matched with the multi-frequency phase comparison technology for target distance measurement, the precision of phase measurement is higher than that of time delay measurement, and the sensitivity of the phase difference of double-frequency signals to random noise is low, so that the influence of a multi-path effect and noise can be effectively reduced, and the accuracy and reliability of distance measurement are remarkably improved.

The invention discloses a power distribution network loop closing and opening switching power supply comprehensive optimization regulation and control system and method, and a storage medium. Through a big data analysis and evaluation module, a power distribution network loop closing and opening switching information collection module, an engineer control module, and different power distribution network loop closing and opening switching parameter comparison lists on a to-be-optimized power grid loop closing and opening switching node, a power distribution network loop closing and opening switching node is optimized; on the basis of the benchmark reference speed, whether loop closing and opening power supply flow optimization regulation and control need to be carried out or not is determined; comparing the real-time speed visualization curve with a preset speed visualization curve to determine a to-be-optimized regulation and control loop switching power supply flow and an optimized regulation and control value; the data processing amount is reduced while the optimization regulation and control accuracy of the loop closing and opening power supply flow is ensured, so that the optimization regulation and control speed of the loop closing and opening power supply flow is improved; according to the method, the accuracy of optimization regulation and control of the loop closing and opening to power supply process is improved, so that the loop closing and opening conversion period of the power distribution network is more reasonable, and the safety of the power distribution network is ensured.

The disclosed embodiments disclose a voice processing method, device, storage medium and electronic device. The voice processing method is applied to a cloud server, including: receiving a vehicle identification and multiple groups of sound data containing interaction request instructions sent by a vehicle processor; calling the corresponding recorded voiceprint data in a voiceprint database based on the vehicle identification, and comparing the voiceprint data corresponding to the sound data with the recorded voiceprint data, wherein the voiceprint database pre-stores the recorded voiceprint data of multiple users; processing the sound data with successful voiceprint comparison to obtain a processing result; and sending the processing result to the vehicle processor. Through the above technical solution, the sound data is processed on the cloud server, which reduces the calculation amount of the vehicle processor, solves the problem of vehicle system jamming, and through voiceprint comparison, the sound data of non-recorded voiceprints can be filtered, thereby solving the problem of false triggering of the voice system.

The application provides a workpiece tightening defect classification method, system, controller and storage medium, wherein the classification method comprises: acquiring a first tightening defect curve and preprocessing the first tightening defect curve; cutting the preprocessed first tightening defect curve based on a preset rule to obtain a target tightening defect curve; extracting time domain features in the target tightening defect curve; and inputting the time domain features into a plurality of pre-trained defect recognition models respectively to obtain recognition results, wherein the recognition results comprise a target defect type corresponding to the first tightening defect curve or a defect type that the first tightening defect curve belongs to is not determined. The application solves the problem in the prior art that workpiece tightening defect classification cannot identify new defect types, resulting in defect classification errors.

The application relates to a plane circle center point-based SolidWorks standard part automatic installation method for a parameter-free model, and belongs to the field of computer-aided design and three-dimensional mechanical design automation. The method first selects any part plane and any assembly hole on the part plane through a point selection mode; a sketch is created based on the geometric boundary of the part plane, and the coordinates of the sketch are determined according to the geometric boundary position information of the part plane; all assembly holes with the same hole feature on the part plane are automatically identified according to the extracted selected assembly hole feature, and corresponding sketch coordinates are established; sketch points are established for all sketch coordinates under the part plane; and the sketch-driven part array function is called, after manually assembling a standard part at any sketch point, the standard part assembly is automatically executed at all sketch points. The application can automatically batch install standard parts by using the sketch-driven part array function of an assembly body.

An electrocardiogram monitoring device comprises: a lead, which contacts a user's body to detect and obtain an electrocardiogram signal, a wire, which is used to transmit the electrocardiogram signal obtained by the lead to a data processing end, and the data processing end obtains and processes the electrocardiogram signal into an electrocardiogram detection result. A collection unit is arranged at the proximal end of the wire communication connected to the lead in a manner of a parallel wire communication line, and the electrocardiogram signal is divided into a first electrocardiogram signal and a second electrocardiogram signal containing equal information in parallel. The collection unit converts the first electrocardiogram signal into a first processing signal according to an analog-to-digital conversion process based on a first sampling frequency, and the data processing end converts the second electrocardiogram signal into a second processing signal according to an analog-to-digital conversion process based on a second sampling frequency, wherein the first sampling frequency is configured to be less than the second sampling frequency, the first electrocardiogram signal and the second electrocardiogram signal are analog signals, and the first processing signal and the second processing signal are digital signals.

A data processing method and device for a centralized station terminal access line loss collection module, wherein the data processing module sends a command message to the line loss collection module according to a polling cycle; receives a serial port message sent by the line loss collection module according to the command message; parses and processes the serial port message to obtain real-time electricity data contained in the serial port message; writes the real-time electricity data into a shared memory and sends a message to notify other modules of the station terminal, the other modules including a main module and / or a communication module. Through the shared memory and message mechanism, the main module and the communication module can fetch data from the shared memory when needed, thereby reducing the data processing amount of the main module and solving the problem of data sharing and cooperation between modules when multiple software modules of the centralized DTU are running simultaneously.

The present invention provides a single-line communication output multiplexing driving circuit, display system and method, the driving circuit includes: a controller, at least one driver group; each driver group includes: a plurality of drivers that are sequentially connected from the first-level driver to the last-level driver; the controller includes: an output port and a readback port; the output port is connected to the first driver, and the readback port is connected to the last driver; the output port is used to send the communication signal and interrupt signal of the controller to the first driver, so that the communication signal and interrupt signal pass through each driver of the driver group in sequence; the last-level driver is used to generate readback data and interrupt information in response to the communication signal and interrupt signal, and transmit it back to the readback port. According to the technical solution of the present invention, the last-level driver can not only be a slave, but also a host, which reduces the data processing amount of the controller, thereby reducing the selection restrictions on the controller and reducing the cost.

The embodiment of the invention provides a symbol synchronization method, a symbol synchronization device, computer equipment and a computer storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a to-be-processed signal, and performing segmentation processing on the to-be-processed signal to obtain a plurality of to-be-processed sub-signals; for each target to-be-processed sub-signal in the plurality of to-be-processed sub-signals, performing conjugate product on the data difference of the adjacent sampling points corresponding to the current sampling point and the target data corresponding to the current sampling point to obtain a clock error corresponding to the target to-be-processed sub-signal; error correction is carried out on the clock error, and the sampling clock deviation of the target to-be-processed sub-signal is determined based on the corrected clock error value; and performing interpolation filtering operation on the target to-be-processed sub-signal based on the sampling clock deviation to obtain a target signal after symbol synchronization of each to-be-processed sub-signal. According to the method, the symbol synchronization performance can be improved while the algorithm complexity is reduced.

The present application relates to a rack beam detection method for a forklift, comprising: acquiring depth data collected by a depth camera, and converting the depth data into point clouds in a preset coordinate system; acquiring a mast lifting height of the forklift, and extracting target point clouds from the point clouds based on the mast lifting height; orthogonally projecting the target point clouds to a vertical plane along a forking direction to generate a two-dimensional occupancy grid image; counting the number of occupancy grids of each row in the height direction of the occupancy grid image to generate a one-dimensional height-density histogram; performing difference calculation on the height-density histogram, and traversing from bottom to top along the height direction, and determining the first position meeting a preset negative peak value condition as an upper edge height value of a to-be-detected rack beam; and outputting a detection value based on the upper edge height value of the to-be-detected rack beam. The present application also relates to a forklift, a computer storage medium and a computer program product.

The application relates to a high-speed small target extraction method using an infrared event stream, which obtains infrared event stream information by processing adjacent frames of images acquired by a high-frame-frequency infrared camera, and detects high-speed moving target information in the infrared event stream information by using the characteristic that the infrared event stream information is sensitive to moving targets. The original infrared images are subjected to frame extraction processing, the target position in the original image frame is located by using the detected moving target information, local target characteristics are extracted for processing, and the target is confirmed and recognized. The method avoids the problem that the calculation complexity is high when target detection is performed on the original high-frame-frequency infrared images, uses the obtained event frame image which only contains the moving target information of the coefficient, removes a large amount of redundant useless background and static information, reduces the calculation amount, improves the detection sensitivity of high-speed infrared moving small targets, simultaneously reduces the energy consumption of the system, and can be widely applied to infrared detection systems with limited processing resources.

The invention discloses a multi-source heterogeneous data acquisition method and system for a construction site, and belongs to the technical field of data processing. The method comprises the following steps: acquiring a data set; analyzing a reason influence coefficient; matching monitoring equipment; analyzing the to-be-sleep index; and controlling the working state of equipment. According to the invention, the reason influence coefficient corresponding to each fault potential reason is analyzed, the matching index between the fault potential factor and the monitoring equipment is obtained, and the to-be-sleep index of the to-be-adjusted monitoring equipment is combined with the reason influence coefficient and the matching index; and controlling the working state of the to-be-monitored monitoring equipment to be sleep or working according to the to-be-sleep index and the set threshold value, thereby improving the resource utilization efficiency, reducing the data processing amount of the monitoring equipment, and solving the problem that in the prior art, a dynamic adjustment mechanism aiming at the construction environment and the real-time requirement is lacked. And the resource utilization efficiency is low.

The present invention discloses a laser SLAM mapping method based on an adaptive filter and GNSS factors, including obtaining multi-frame three-dimensional laser radar point cloud data generated by a laser radar in a scanning area; dividing the data into a ground point set and a non-ground point set after ground segmentation; performing point cloud data preprocessing on the ground point set and the non-ground point set respectively; selecting a plane point set from the ground point set and a corner point set from the non-ground point set, recursively solving the pose between adjacent frames using the LOAM algorithm, and obtaining laser radar odometer data; integrating the laser radar odometer data and the map information data provided by GNSS to generate a factor graph, optimizing the factor graph using a graph optimization method, obtaining a final pose estimate, and generating a three-dimensional point cloud map of the scanning area based on the final pose estimate. The present invention solves the problem of insufficient positioning and mapping accuracy of existing laser SLAM technology in complex environments or dynamic scenes.