21results about How to "Achieve differentiation" patented technology

The embodiment of the invention provides a data deduplication method, device and equipment. The method comprises the steps that a data storage request is received, the data storage request is used for requesting to store target data in a storage area of a server, and the data storage request comprises the data type and attribute information of the target data; determining a data state of the target data according to the data type; the data state is a deduplication state or a non-deduplication state; under the condition that the data state is a deduplication state, determining a target deduplication queue of the target data according to the attribute information; and performing data deduplication processing on the target data according to the priority of the target deduplication queue to obtain deduplication data corresponding to the target data. According to the data deduplication method provided by the invention, the data deduplication processing effect on the target data is improved.

The invention discloses a wheel forging and rolling composite forming process based on deformation distribution and a structure regulation and control method, and belongs to the technical field of wheel manufacturing. The method comprises the steps that a composite forming path of pre-forging, finish forging and finish rolling is adopted, the deformation amount of each procedure is scientifically distributed, pre-forging accounts for 70%-80%, finish forging accounts for 15%-20%, and finish rolling accounts for 5%-10%, so that forming precision and microstructure control is achieved. Meanwhile, quantitative prediction is carried out on microstructure evolution in the whole forming process by constructing a multi-scale digital simulation platform integrating a material constitutive model, a microstructure evolution model and a cellular automaton. And based on a prediction result, active and accurate regulation and control of microstructures of different parts of the wheel are realized through virtual iteration optimization of key process parameters such as temperature, deformation and strain rate, and finally, the complex-structure wheel with high dimensional precision, uniform and fine structure and excellent comprehensive performance is obtained. According to the wheel shape-character collaborative manufacturing method, shape-character collaborative manufacturing of the wheel is achieved, and the scientificity and efficiency of process design are improved.

This invention relates to the field of chip inspection technology, and more particularly to a chip non-destructive testing system based on embedded current scanning. The system includes a current scanning module, an information acquisition module, a data analysis module, an abnormal scanning region generation module, and a scanning path generation module. Instead of simply performing a higher-density secondary scan of the entire chip, this invention intelligently filters out abnormal scanning regions requiring special attention based on the initial scan results and calculates their scanning priority. This allows valuable inspection time and computing resources to be concentrated on the most suspicious and severe areas, avoiding unnecessary repeated scanning in normal areas. The system dynamically selects the optimal scanning path based on the regularity of the region shape; for example, parallel lines are used for regular regions, and radial lines are used for irregular regions. This makes the scanning path more closely match the geometric features of the defect, obtaining a more complete region characterization with fewer scanning points, resulting in higher path planning efficiency.

The present application relates to a kind of electromagnetic ultrasonic-based underwater steel structure damage detection and distinguishing method, using electromagnetic ultrasonic detection equipment to detect underwater steel structure with non-conductive covering layer on surface.The method comprises: electromagnetic acoustic transducer (EMAT) probe is arranged above the surface of underwater steel structure;According to lift-off distance, configure excitation parameter;Apply excitation pulse to emit ultrasonic wave;Receive echo signal and extract transit time feature, echo amplitude feature and initial wave amplitude feature;At least one change based on the above features distinguishes abnormal type, the abnormal type includes at least one of corrosion thinning, surface opening crack and simple lift-off increase.By the above design, the present application realizes the accurate detection and reliable distinction of underwater steel structure damage state under the condition of non-conductive covering layer.

According to the composite component, the vehicle body frame and the vehicle, the composite component comprises a first component body, a second component body and a third component body which are sequentially arranged in a stacked mode from outside to inside, the first component body, the second component body and the third component body are independently arranged, and the second component body is connected with the first component body and the third component body; wherein the first component, the second component and the third component are all configured to be made of honeycomb materials, the density of the first component is set to be rho1, the yield strength of the first component is set to be Rp1, the density of the second component is set to be rho2, the yield strength of the second component is set to be Rp2, the density of the third component is set to be rho3, the yield strength of the third component is set to be Rp3, rho1, rho2 and rho3 meet rho1 < rho2 < rho3, and Rp1, Rp2 and Rp3 meet Rp1 < Rp2 < Rp3. In this way, differentiation and self-adaptive protection of low-speed, medium-speed and high-speed full-scene collision are achieved, overall light weight can be achieved due to the adoption of the variable design, and therefore the design requirement for light weight of the vehicle body frame is met while safety is guaranteed.

This utility model belongs to the technical field of neon light assembly equipment, specifically relating to a neon light assembly table with pre-packaged materials. It includes an assembly table body, with multiple synchronously moving and converging material boxes on the top of the body. Each material box has a sealing cover on its top that automatically opens when it approaches the end face of the assembly table body. The top of the assembly table body has multiple radially equidistantly arranged sliding grooves, with connecting rods connected to the bottom of the material boxes inside the grooves. A push plate is slidably mounted on the assembly table body, with limiting grooves on its outer wall corresponding to the connecting rods, and these limiting grooves are slidably connected to the connecting rods. A hydraulic cylinder connected to the push plate is located at the bottom of the assembly table body. This design enables automatic opening of the sealing cover, allowing workers to quickly retrieve materials without manual opening, further improving operational convenience and saving time.

This disclosure provides a video playback method, apparatus, and electronic device thereof, relating to the field of computer technology, and particularly to the fields of image processing and video generation technology. The specific implementation scheme is as follows: in response to receiving a dynamic effect interaction command for a video, the positional information of a target object within the video frame is determined, the target object including a face and / or a human body; dynamic effect information associated with the video is determined; dynamic effect rendering is performed based on the dynamic effect information and the positional information to obtain the target video frame; and the target video frame is played on the screen. This disclosure can increase the interactivity and flexibility of video playback, improve the two-way participation experience of video viewing and interaction, and enhance the visual effects and entertainment value of the video.

This invention relates to a multi-field-of-view coding method and system based on intermediate image plane polarization mask modulation, belonging to the field of space optics technology. It addresses the technical problems in existing technologies where feature aliasing and mutual interference easily occur when multi-field-of-view signals are superimposed, and where encoded features are easily distorted in the presence of optical errors or system deviations. The coding method includes the following steps: multi-field-of-view division; polarization coding parameter allocation; polarization modulation implementation; optical folding and signal superposition; and coding result output. The multi-field-of-view coding method and system based on intermediate image plane polarization mask modulation of this invention, by introducing polarization modulation in the imaging stage, maps multi-field-of-view spatial information to the polarization dimension, realizing an extension from traditional "scalar intensity coding" to "vector polarization coding."

This invention discloses an artificial intelligence-based method and system for controlling the amount of liquid fertilizer drip irrigation in agricultural planting. The method involves collecting multi-source datasets through a multimodal sensing network; fusing the multi-source datasets using a STAFN spatiotemporal attention fusion network to obtain a fused dataset; establishing a dual-channel demand prediction model, inputting the fused dataset into the model, and outputting prediction results; calculating the fertilizer concentrate mixing ratio based on the prediction results; adjusting the fertilizer absorption rate of the Venturi fertilizer applicator according to the fertilizer concentrate mixing ratio using a fuzzy PID control algorithm; dividing the planting area into several intelligent irrigation zones; and implementing differentiated fertilization for each zone using a pulse drip irrigation strategy. This method adapts to the differences in soil and crops in different regions, improving drip irrigation efficiency and accuracy.

The application discloses a three-network integration residential network fault intelligent diagnosis and self-recovery system and relates to the technical field of communication networks.The system comprises a service identification module, a fault detection module, an isolation control module, a self-recovery strategy module and a resource scheduling module.The application realizes accurate tracking and distinguishing of three types of service flows, namely voice, broadband and IPTV, through a service characteristic fingerprint library, accurately locates service-level faults in combination with multi-dimensional fault detection, realizes logical isolation of faulty services through an SDN flow table, avoids affecting other services of the same user, designs differentiated self-recovery strategies according to different service characteristics, reserves and dynamically adjusts bandwidth resources to guarantee key service requirements, automatically cancels isolation after fault recovery and completely records information, provides data support for network optimization and comprehensively improves the reliability and operation and maintenance efficiency of the three-network integration residential network.

The invention provides a coal mine behavior detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining multi-modal original data of a coal mine operation area, carrying out the feature extraction of the multi-modal original data, obtaining a multi-modal feature, and carrying out the detection of the multi-modal feature. The multi-modal features at least comprise image features corresponding to the image data, radar features corresponding to the radar point cloud and sound features corresponding to the sound data, carrying out feature fusion on the multi-modal features based on an attention mechanism to obtain a fusion feature vector, and inputting the fusion feature vector into a preset behavior recognition model, the behavior classification result of the fusion feature vector is obtained, risk level judgment is carried out based on the behavior classification result, behavior detection and alarm are carried out on the coal mine operation area according to the risk level, and the technical problem that the safety detection accuracy is low in related technologies is solved through the method.

A kind of soil detection distinguishing device, first detection instrument, second detection instrument and third detection instrument arranged along the conveying direction of first conveying belt can respectively obtain the moisture content in the soil to be measured, cross-sectional area and mass parameter, the dry density in the soil to be measured is obtained by calculation, and then compared with the moisture content threshold value, cross-sectional area threshold value and dry density threshold value in control system, according to the comparison result, control system controls the screening body to be communicated with first discharge port or second discharge port at inlet end, so as to distribute the soil to be measured to clay or sandy soil collection area, realize the automatic detection and distinction of soil, eliminate manual sorting, improve work efficiency.

This invention relates to the field of intelligent management technology, specifically to a method and system for intelligent management of flight attendants based on multimodal data fusion. The method first collects multimodal time-series data of flight attendants, including physiological signals, operational behaviors, computer vision, and environmental data, through a sensor network deployed in the flight attendant environment. Next, it uses a deep learning model that integrates a time-series model, convolutional networks, and attention mechanisms to comprehensively analyze the data and dynamically predict health risk indices and operational behavior compliance scores. Then, based on the prediction results, it triggers tiered health risk warnings and real-time operational behavior guidance. Finally, combining the prediction results with operational needs, it uses a reinforcement learning model for adaptive and optimized shift scheduling. This invention achieves continuous and accurate perception of flight attendant status, proactive risk warnings, real-time behavioral correction, and dynamic optimization of human resources, forming an intelligent closed-loop management system that significantly improves safety management and operational scheduling efficiency.

The application discloses a route planning method and device and a storage medium, relates to the technical field of data processing, and discloses a route planning method, which comprises the following steps: determining the geometric characteristics of a fan blade; dividing the fan blade into different partitions based on the geometric characteristics, wherein each partition corresponds to a different part of the fan blade; determining a route planning strategy suitable for each partition, and performing route planning on the corresponding partition based on the route planning strategy to obtain a route corresponding to each partition; and splicing the routes corresponding to each partition to obtain a target route of a UAV, wherein the target route is a flight path of the UAV when the UAV inspects the fan blade. According to the technical scheme, the fan blade can be divided into different partitions according to the geometric characteristics of different parts of the fan blade, and the route corresponding to each partition can be determined accordingly, so that the accuracy of the target route of the UAV is improved.

The invention discloses a noise reduction method and system for an element distribution diagram and a related device, and relates to the field of image processing, and the method comprises the steps: carrying out the surface scanning of a to-be-detected sample through an X-ray energy dispersive spectrometer, obtaining the image data of the element distribution diagram of the to-be-detected sample, and obtaining the image data of the element distribution diagram of the to-be-detected sample, including the X-ray energy spectrum of each pixel point; the similarity between the pixel points is determined based on the X-ray energy spectrum of each pixel point and a preset component number, each pixel point in the image data is classified according to the similarity, a plurality of component distribution diagrams are obtained, and each component corresponds to one category of the pixel point; and in response to a selection operation of a user, determining at least one active ingredient distribution diagram from the plurality of ingredient distribution diagrams, and regenerating the element distribution diagram based on the at least one active ingredient distribution diagram. According to the invention, decomposition and price reduction are carried out on the element distribution diagram, distinguishing and screening of effective components and noise components in the element distribution diagram are realized, and the element distribution diagram is regenerated to realize noise reduction of the element distribution diagram.

This invention relates to the field of population spatiotemporal distribution modeling technology, and proposes a population model generation method based on crowdsourced data, comprising the following steps: Step 1, collecting socioeconomic and natural environment data to obtain standardized multi-source raster data; Step 2, based on the standardized data, constructing a daytime population weight layer by training a heterogeneous basic regression model with five-fold cross-validation and building an adaptive spatial weighted support vector regression meta-learner; Step 3, extracting building volume and nighttime light intensity raster layers from the standardized data to construct a nighttime population weight layer; Step 4, constructing a non-working day population weight layer by weighted fusion based on the day and night weight layers; Step 5, constructing basic spatial mapping units to complete high-scale downscaling reconstruction of population space, obtaining initial high-resolution population distribution results; Step 6, introducing a time smoothing model to correct the temporal inconsistency problem of the initial results, generating the final population distribution model. This invention effectively solves the problems of insufficient spatiotemporal resolution, poor time-segment adaptability, and unreasonable assignment of missing data areas in traditional population distribution models, providing accurate, comprehensive, and highly usable population distribution data support for scenarios such as urban planning, resource allocation, and emergency management.

The application relates to a material distributing device and a material feeding equipment. The material distributing device comprises a mounting frame, a material distributing assembly installed on the mounting frame, the material distributing assembly being rotatable around a rotating shaft extending in a first direction to switch among a first state, a second state and a third state, and a material falling bin located below the material distributing assembly and provided with a material falling opening facing the material distributing assembly. When the material distributing assembly is in the first state, the material distributing assembly blocks one side of the material falling opening in the first direction; when the material distributing assembly is in the third state, the material distributing assembly blocks the other side of the material falling opening in a second direction; and when the material distributing assembly is in the second state, the material distributing assembly blocks the material falling opening. The material distributing device realizes material distinguishing and kicking waste through rotation of the material distributing assembly, has high distinguishing efficiency and distinguishing accuracy, and improves the material distributing efficiency of the material feeding equipment.

The invention discloses a privacy protection method, electronic equipment and a computer readable storage medium, and the privacy protection method comprises the steps: carrying out the real-time detection of multi-mode perception data collected by a terminal, and obtaining a detection result; wherein the multi-modal perception data comprises at least one of facial expression data, eye movement data and environment image data of the target user; in response to the detection result that at least one privacy risk event is detected, dynamically executing privacy protection operation of a corresponding level according to the type of an application currently operated by the terminal; wherein the privacy protection operation comprises a plurality of levels so as to correspondingly protect various types of applications. According to the method and the device, the multi-modal sensing data is detected in real time, and the privacy protection operation is automatically executed when the privacy risk event is detected, so that active protection can be realized under the condition that a user does not need to carry out additional manual operation, the privacy safety and the user experience are effectively considered, and the user experience is improved. And thus, the privacy protection requirement of the user on the intelligent terminal can be well met.

The invention discloses an intelligent monitoring video privacy processing method and device and electronic equipment, and relates to the technical field of smart home, and the method comprises the steps: collecting an original video stream, and carrying out the real-time semantic recognition of the original video stream, and obtaining a semantic recognition result; the semantic recognition result comprises object areas of at least one privacy related category; determining a processing decision for the object region based on a preset rule set and the semantic recognition result; according to the processing decision, generating differential shielding metadata corresponding to the original video stream; and the original video stream and the differential shielding metadata are encrypted and stored in an associated manner. According to the method, the problems that in the prior art, a static masking scheme cannot dynamically adapt to scene changes and lacks refined privacy management capability are solved, and reversible privacy protection of self-adaptive privacy area recognition based on real-time semantic understanding, strategic masking decision and separated storage of an original video and a masking instruction is realized.

The invention discloses an air-ground cooperative sensing global avoidance scheduling method and system based on machine learning. The method comprises the following steps: S1, generating a global dynamic sensing data set; s2, establishing an airspace dynamic conflict graph based on the global dynamic perception data set; s3, outputting a conflict graph embedding feature set; s4, outputting a cost index vector corresponding to each candidate avoidance strategy; s5, generating an optimal avoidance rule combination matched with the current airspace scene; s6, generating a scheduling route candidate set satisfying the rule constraint and the security interval constraint, and performing resource occupation conflict detection; s7, forming an operation scheduling instruction, and performing air-ground collaborative global scheduling closed-loop operation; and S8, according to the newest conflict graph embedded feature set output by the graph neural network embedded model, generating an emergency avoidance route, and completing generation and issuing of an emergency avoidance instruction within 200ms. The method can adapt to any complex airspace topology and dynamic scene change.

This application discloses a test case generation system and method for recruitment platforms. The system includes a format conversion agent, a test point generation agent, a test case generation agent, and a historical regression test case recommendation agent. During system operation, test requirement data from the recruitment platform is acquired and preprocessed by the format conversion agent to output test requirement text. The test point generation agent performs multimodal parsing on the requirement text, constructing a three-dimensional feature vector containing business entities, interaction logic, and constraints. This feature vector is then combined with recruitment business prompts to complete scenario recognition and business rule injection, forming a scenario-based three-dimensional feature vector. Based on this vector, a set of test points for recruitment scenarios is generated. The test case generation agent matches corresponding generation strategies from a strategy library and generates recruitment platform test cases by combining the multi-dimensional feature vector. The historical regression test case recommendation agent retrieves matching regression test cases. This application improves the quality and efficiency of generating test cases for recruitment platforms.