92results about How to "Strong consistency" patented technology

The invention provides a three-dimensional point cloud data segmentation method and system based on multi-scale point features, and relates to the technical field of point cloud processing, and the method comprises the steps: obtaining original point cloud data, constructing a three-dimensional Hash index table, carrying out the self-adaptive hierarchical division through a local maximum value of a density distribution curve, and obtaining a local maximum value of a density distribution curve; noise point elimination is carried out based on a region density count value and a geometric distribution coefficient, an enhanced feature vector containing a main feature direction, a main curvature value and the like is constructed for non-eliminated points, a local geometric descriptor is constructed by adopting four spherical search regions with increasing radiuses, a three-branch space attention network is input to extract spatial features, and the spatial features are extracted; and fused feature data are obtained through a multi-level geometric feature extraction network and a bidirectional feature propagation network. And obtaining a final segmentation result through segmentation energy function optimization and a region merging strategy.

The invention discloses a monocular video face reconstruction and driving method based on Gaussian splashing and a 3DMM model. The monocular video face reconstruction and driving method comprises the following steps: S1, converting each frame of a face RGB video into an explicit expression face grid based on the 3DMM model; s2, constructing a geometric enhancement module, and carrying out geometric alignment on eye and tooth regions by adopting an improved iterative nearest point algorithm; s3, initializing a 3D Gaussian ball, and driving the dynamic change of the 3D Gaussian ball according to the point change of the face grid under different expressions; s4, based on the characteristics of different face areas, adaptive optimization learning strategy coefficients are distributed; and S5, increasing confidence information for each 3D Gaussian ball, generating a confidence image through rendering, multiplying the confidence image by a rendered image, calculating high-dimensional feature similarity with the input image, and optimizing attribute parameters and rendering effects of the 3D Gaussian balls. According to the method, Gaussian splashing and a 3DMM model are combined, and high-precision reconstruction and driving of a monocular video face are realized.

The invention relates to a tree painting projection data collection and analysis system and method, and the system comprises a data collection module, a data preprocessing module, a feature extraction module, a quantitative analysis module, a classification and prediction module, and a result evaluation module. The modules cooperate with each other to realize standardized processing, feature extraction, quantitative analysis, intelligent classification and prediction and result evaluation of data. According to the method, the holographic theory and the Ama pothole theory are combined, the drawing features are finely analyzed through the cross-modal comparative learning and graph neural architecture search combined algorithm, a scientific and objective psychological data acquisition and analysis method is provided, the diagnosis sensitivity and specificity are improved, a powerful tool is provided for clinical psychological assessment, and the method is suitable for clinical psychological assessment. The method has important clinical and research values, and has wide application prospects in the fields of psychological problem screening, social psychological services, judicial, public security, marriage matching, talent selection and the like.

The invention relates to the technical field of generated image editing, and provides a text-guided generated image editing method, which comprises the following steps of: firstly, performing multiple reasoning on an image generated by a given stable diffusion model by utilizing a multi-modal pre-training model BLIP model to generate a plurality of corresponding detailed text descriptions; then, performing intelligent text editing on a description text needing to be edited by using ChatGPT, and modifying a specific visual concept so as to meet a specific editing task for guiding an image; then, a CLIP model is used for calculating text embedding vectors before and after editing, so that the average direction of text editing is obtained; then, the average direction of text editing is added to an original description text embedding vector, the corresponding relation between the text and the image is controlled based on a cross attention mechanism of a stable diffusion model so as to accurately control the text guiding editing process of the image, and based on the average semantic direction of multiple sentences, robustness is achieved, and high isolation is achieved.

The invention discloses a foaming test device and system. According to the foaming test device, left / right atrial angiography tests can be taken into consideration at the same time, and when the foaming test device is switched into the left atrial angiography working mode, normal saline and a contrast agent can be automatically mixed to form a left atrial angiography mixed solution, and a left atrial angiography foaming solution is further formed; when the foaming test device is switched into a right atrial angiography working mode, normal saline, air and blood can be automatically mixed to form a right atrial angiography mixed solution, and a right atrial angiography foaming solution is further formed; the first injector and the second injector are matched with each other to perform reciprocating injection, so that the foaming efficiency of the left / right atrial angiography mixed liquid can be effectively improved, the time for forming the bubble liquid is shortened, automatic preparation of the left / right atrial angiography bubble liquid is quickly realized, meanwhile, the quality, preparation efficiency and consistency of the bubble liquid can be improved, and the production cost is reduced. And the accuracy of auxiliary screening is improved.

The invention belongs to the technical field of waste heat recovery control, and provides a natural gas cold and heat cogeneration control method, which comprises the following steps: setting a monitoring period, monitoring two ends of each natural gas conveying pipeline to obtain natural gas temperature data, analyzing and processing the natural gas temperature data to obtain an ideal heat recovery value, and controlling the heat recovery value. Analyzing and processing the natural gas temperature data again to obtain an actual heat recovery value, acquiring a gas flow in each natural gas conveying pipeline in a monitoring time period, obtaining a gas flow mean value, processing the actual heat recovery value and a theoretical heat recovery value, outputting to obtain a heat recovery efficiency value, and comparing the heat recovery efficiency value with a threshold value; if the heat recovery efficiency value is smaller than the heat recovery efficiency threshold value, it is indicated that the heat recovery efficiency of the heat recovery system in actual operation is low, and a low recovery efficiency signal is generated, so that comprehensive evaluation on the heat recovery efficiency of the heat recovery system is completed by setting a monitoring period.

The utility model discloses an integrated sound box with a holographic image function, which comprises a sound box main body and a holographic image component arranged in the sound box main body, the sound box main body comprises a loudspeaking area and a display area arranged on one side of the loudspeaking area, the display area is a cavity formed by a light-transmitting cover, the holographic image component is arranged in the cavity, and the holographic image component is arranged in the cavity. The holographic image assembly comprises a rotating shaft and LED panels arranged around the rotating shaft, the rotating shaft is driven by a motor to drive the LED panels to rotate, and images generated when the LED panels rotate are transmitted out through a light-transmitting cover. According to the utility model, the problems that a sound box with a display function in the prior art is single in display effect and does not have the characteristics of strong stereoscopic impression, multi-angle watching and the like, and a display function structure and a sound box main body structure are not unified are solved.

The invention discloses a wireless network resource scheduling method and a wireless network resource scheduling system, relates to the technical field of wireless network scheduling, and aims to identify an area with abnormal and prominent resource requirements by performing standardization processing on the resource requirements so as to provide a clear quantitative basis for subsequent strategy adjustment. Compared with the existing empirical or fixed threshold scheduling mechanism, the method has dynamic adaptability and cross-regional comparability, and is convenient to realize a partition and hierarchical scheduling strategy. Through construction of scheduling strategy adjustment amount, three key control dimensions in scheduling logic, namely bandwidth channel priority, transmission time slot allocation and cache scheduling sequence, are broken through, so that each control module can perform linkage adjustment based on a unified scheduling urgency degree signal. And common problems of unbalanced resource configuration and the like are avoided. Through a standardized scheduling gradient calculation mechanism, the resource urgency degrees of different regions are quantitatively compared, and the problem of wrong resource investment caused by inflexible threshold setting and incomparable regions in a traditional scheduling system is solved.

This invention discloses an individual motion behavior analysis system based on dynamic modal configuration and rule-guided fusion, belonging to the fields of intelligent perception, sports science, and human-computer interaction. It includes a data input module, a dynamic modal organization and configuration module, a multimodal feature modeling and fusion module, an indicator-level evaluation and behavior state prediction module, a statistical rule-guided analysis and result correction module, and a structured result generation and output module. These modules work together to form a complete closed loop for motion behavior analysis technology. This invention aims to address the problems in existing motion behavior analysis technologies, such as limited dimensionality of single-modal information, rigid multimodal fusion methods, insufficient stability and interpretability of analysis results, and strong dependence on large-scale manually labeled data.

The utility model belongs to the technical field of machining, and particularly relates to a multi-view visual inspection device. Comprising a rack, and a rotating assembly, a code scanning assembly and a shooting assembly which are mounted on the rack, and the rotating assembly, the code scanning assembly and the shooting assembly are electrically connected with a control assembly respectively; a fixing seat for fixing a product is mounted on the rotating assembly, and the fixing seat can drive the product to rotate under the driving of the rotating assembly; the code scanning assembly and the shooting assembly are arranged corresponding to the fixed seat; wherein the code scanning assembly is suitable for obtaining a code of the product, the shooting assembly is suitable for shooting a multi-angle picture of the product and obtaining an inspection result, and the control assembly is used for binding the code with the inspection result. Compared with manual visual inspection, the inspection device provided by the utility model has the advantages that the time for single inspection can be saved by 10 seconds, so that the inspection efficiency is improved, the yield of products can reach 99.9%, the quality guarantee is high, and the batch inspection effect of the products is extremely good.

The application discloses an infrared multi-source information fusion method and system based on hierarchical cross-modal attention, and belongs to the technical field of multi-modal information fusion and artificial intelligence. The method receives an infrared image feature sequence and a text feature sequence, first takes the image spatial position features as queries at the local level, and performs fine-grained cross-modal attention interaction with the text features to obtain local semantic enhanced features; then, at the global level, the local features are spatially aggregated, and the aggregated global visual features are taken as queries to perform scene-level attention interaction with the text features to generate a unified multi-modal fusion feature vector. Through the hierarchical attention mechanism from the local to the global, the application realizes adaptive deep fusion of infrared images, texts and structured data, can dynamically evaluate the importance of different modal and regional information, effectively suppresses noise, and provides robust and high-quality feature representation for high-level semantic understanding and decision-making tasks.

The invention discloses an integrated control system for electric modification of an electric tractor, and belongs to the technical field of agricultural machinery. The system comprises a signal processing module, a health state evaluation module, a control decision module, an execution module and an optimization module, all the modules realize data interaction through the Ethernet, and the system is adaptive to heterogeneous hardware integration requirements after electric modification of a traditional fuel tractor. According to the invention, the health state evaluation module and the prediction model realize quick response and graded protection of high-voltage insulation, battery overheating and actuator fault scenes through clear quantification, and realize quantitative scoring of the health degree in the limitation of temperature, load and attitude coupling complex scenes; meanwhile, the time domain and frequency domain characteristics of the signals are extracted to provide a quantitative basis for evaluation, different actions of power reduction, speed limiting and emergency shutdown are triggered according to the health degree state, the situation that operation efficiency is affected by excessive protection is avoided, early warning can be conducted in the early stage of a fault, rapid protection can be conducted when the fault occurs, and the running safety and reliability of the tractor are improved.

The invention relates to a radiation meter dense feed source array directional diagram optimization method based on a generative adversarial network. The method comprises the following steps: constructing a training data set, a condition vector containing a target directional diagram performance index and a corresponding optimal amplitude-phase weight vector; designing a conditional generative adversarial network model; constructing a physical constraint loss function by embedding a differentiable electromagnetic calculation module; loading the constructed training data set, and training a complete generative adversarial network model based on a loss function embedded with a differentiable electromagnetic calculation module; and when the system antenna pattern obtained according to the amplitude-phase adjustment parameters output by the generative adversarial network model meets the antenna pattern evaluation index, completing dense feed source array antenna pattern optimization. According to the method, the target weight is dynamically adjusted and optimized on orbit, so that a single model can adapt to beam forming requirements in different observation scenes, and flexible switching of multiple task modes such as high-resolution detection and wide-range general survey is realized.

The utility model discloses a linear pressurizing solenoid valve for an automobile braking system, which comprises a shell seat, a shell is welded on the outer wall of the top of the shell seat, a cavity is arranged on the outer wall of the top of the shell seat, a movable valve core is arranged in the shell, a push rod is fixed at the center of the bottom of the movable valve core, the push rod is inserted into the inner wall of the cavity, and the movable valve core is arranged in the cavity. A liquid inlet is formed in the center of the bottom of the cavity in a penetrating mode, and a cylindrical inserting groove is formed in the outer wall of the bottom of the shell base. According to the utility model, the spring is additionally arranged in the shell seat for supporting, so that the spring is arranged on the shell seat, the push rod and the spring are in linear opening in the back-and-forth movement process, the stability is higher, and the insertion depth of the push rod can be controlled by changing the current intensity of the external coil and utilizing the elastic potential energy of the spring for matching; therefore, the flow of liquid in the liquid inlet channel can be changed, the function that the inlet and outlet pressure difference can be adjusted is achieved, the structure is simple, reliability is high, and consistency is high.

The invention discloses a line loss segmentation monitoring method and system for a power distribution master station and a fusion switch, and particularly relates to the technical field of power distribution network line loss, and the system comprises a line segmentation module, a segmentation interval data collection module, a segmentation interval line loss calculation module, a segmentation interval line loss correction module, and a segmentation interval abnormity processing module. Fusion switches are installed on a line according to a certain distance, measurement data of the fusion switches at the two ends of a line segment are collected through a main station, the basic line loss value and the line loss rate of the line segment are calculated, for a section containing a distributed power supply, the line loss influence coefficient and multi-scene compensation of the distributed power supply to the line segment are introduced, and the line loss value is calculated and corrected in real time. Based on the real-time corrected line loss value, in combination with the preset floating value, the threshold interval is constructed, the line loss abnormity of each line segment on the target to-be-monitored line is judged, the abnormal line segment is positioned, the line segmentation electric quantity metering is realized, the calculation precision under all working conditions is improved, the abnormity management is realized, and the operation and maintenance management complexity is reduced.

The present application relates to the technical field of electric digital data processing, and discloses a multi-entry intention collaborative control method, device, equipment and storage medium, which are used for the accuracy of multi-entry collaborative control.The multi-entry intention collaborative control method comprises the following steps: obtaining intention instructions from multiple control entries, and constructing an intention dependency graph; based on a preset unified state machine model, simulating execution according to the intention instructions and the intention dependency graph, so as to detect and identify conflict intentions, and obtain a conflict intention set; arbitrating the conflict intention set based on a reinforcement learning dynamic arbitration strategy, so as to obtain a winning intention instruction sequence; updating the global state of the unified state machine model according to the winning intention instruction sequence, and generating a global state snapshot; and publishing the global state snapshot to all control entries through an edge collaborative network, so as to realize state synchronization.

The utility model discloses a computer flat cable automatic detection device, and relates to the technical field of computer detection equipment. The utility model discloses an automatic detection device for a computer flat cable, and the device comprises a detection platform which is used for installing a to-be-detected computer; the number of the supporting columns is four, the four supporting columns are distributed on the outer edge of the detection table in a rectangular array mode, and a mounting table is arranged at the free ends of the supporting columns; the detection assembly is installed on the installation table, the detection assembly is right opposite to the table top of the detection table, and the detection assembly is used for detecting a to-be-detected computer; wherein a detection channel is arranged between every two adjacent supporting columns.

This invention discloses a dynamic compression-type distributed data storage method, storage system, and apparatus, comprising: setting up a distributed storage node plugin, starting a private distributed storage node, and triggering a content addressing identifier smart contract based on a storage request from an external system; generating a corresponding key pair for the distributed storage node, wherein the content addressing identifier smart contract specifies a blockchain node address; enabling the distributed storage node to adapt to a dynamic distributed network based on the content addressing identifier smart contract; the blockchain node selecting a weighting factor for the stored data and calculating the data value of the stored data; the distributed storage node setting stored data attributes, allocating the entire storage area, reserving storage space for the stored data according to the data value, and determining a default storage period; compressing the stored data according to the data value, data attributes, reserved storage space, and storage period, and storing the compressed data in a database.

The invention discloses a transform-based short episode generation method. The method comprises the following steps: step 1, obtaining a text prompt for describing a short episode; generating a Transform model, training the Transform model, and processing the text prompt by using the trained Transform model to obtain a plurality of candidate events; and step 2, sorting the plurality of candidate events to obtain a short drama script. The method can automatically generate a short drama script according with logic and semantics, has strong innovativeness and application prospect, and can be applied to the fields of film and television, education, advertisement, game industry and artificial intelligence.

The invention provides a method and device for realizing EVPN distributed aggregation encryption, and the method comprises the steps: clearly dividing the master and slave roles of two devices in an M-LAG under an M-LAG distributed aggregation architecture, enabling a master device to uniformly undertake the key negotiation responsibility with a remote target device, synchronizing a first key generated through negotiation to a slave device, and enabling the slave device to carry out the key negotiation with the remote target device; according to the invention, the strong consistency of the keys in the M-LAG group is realized, and the key is distributed to the target device by the master device, so that the target device carries out unified encryption on all VXLAN messages sent to the M-LAG group based on the key, and therefore, on the premise of not changing the existing VXLAN / EVPN protocol stack, the whole M-LAG presents a single and consistent encryption key to the outside, and the encryption efficiency is improved. The problem that an existing EVPN Cloud Sec scheme cannot be adapted to an M-LAG framework is solved.

The invention discloses a tunnel surrounding rock breaking degree intelligent identification method, and relates to the technical field of geological engineering and image processing, and the method comprises the steps: image preprocessing, including noise removal and image enhancement; feature extraction, including edge detection; the image segmentation comprises threshold segmentation; feature analysis, including crack analysis, contrast analysis and homogeneity analysis; the method has the beneficial effects that the identification efficiency and accuracy can be effectively improved, and an important guarantee is provided for safe construction of tunnel engineering.

The invention belongs to the technical field of underwater detection, and discloses an underwater vehicle metal detection device based on a multiplexing wireless charging receiving coil, and the device is characterized in that a current detection module detects the output current of an energy storage device in real time; the alternating current-direct current converter converts direct current provided by the energy storage device into high-frequency alternating current; the receiving side resonance network is used for eliminating reactive power loss caused by independently using the wireless charging receiving coil and driving the wireless charging receiving coil to radiate a high-strength alternating magnetic field to surrounding seawater; when a metal object appears in the detection range, the wireless charging receiving coil is also used for sensing a reverse magnetic field generated by the metal object and generating a reverse induction current; and the current detection module judges the metal target in the detection range by detecting the rising condition of the discharge current of the energy storage device at the moment. The existing wireless charging receiving coil is directly reused, special hardware does not need to be additionally arranged, the structure is simple, and the universality is high.

The application discloses a kind of double host electronic glasses and its image acquisition, processing and display method, belong to image processing technical field, a kind of double host electronic glasses, including: glasses frame, monocular vst perspective unit and the power supply unit compatible with monocular vst perspective unit, the monocular vst perspective unit is equipped with two groups, and two groups monocular vst perspective unit respectively independently handles the image of left and right eyes, the monocular vst perspective unit includes, display component, the display component includes optical module and micro display screen;Sampling component, the sampling component includes corresponding camera module with display component;Soc host unit, the Soc host unit undertakes corresponding monocular image processing task;Realize the frame level synchronous display and the relatively synchronous display of degradable under the premise of not forwarding image data of double eyes, to ensure that electronic glasses can still maintain at least single eye real-time picture output under abnormal condition, high-speed data link is equipped between the Soc host unit.

The invention relates to the technical field of data consistency, and particularly discloses a main and auxiliary node replica data consistency guarantee system and method.The system comprises a node state mapping module, a node emergency disposal module and an operation switch module; the node state mapping module is used for mapping the states of the main and auxiliary nodes, the network environment condition and the duplicate data summary state; and judging whether the main and auxiliary nodes have an abnormal state or do not have a synchronization condition based on the mapping data, if the main and auxiliary nodes have the abnormal state or do not have the synchronization condition, sending a data synchronization closing operation request to the operation switch module, and sending an emergency processing instruction to the node emergency processing module, the node emergency disposal module carries out emergency disposal on the abnormal main and auxiliary nodes based on the emergency disposal instruction; and if the main and auxiliary nodes have no abnormal state and have operation response conditions, a data synchronization operation starting request is sent to the operation switch module. And monitoring, processing and mapping are carried out on reasons causing inconsistency of copy data between the main node and the auxiliary node.

The application discloses a kind of defect detection systems, including detection device and image processing module, wherein the detection device, including object table, telecentric light source, horizontal light source, coaxial light source, camera, the object table is used to load workpiece, and the workpiece includes through-hole workpiece and non-through-hole workpiece;When the telecentric light source is opened, the camera obtains the projection image of the workpiece.The application is replaced by machine, that is, through automatic non-contact optical detection system, appearance detection and size measurement are detected to flange, and unqualified products are removed.Optical image detection replaces human eye, without visual requirements, with guaranteed definition, and also avoids the problems of personal injury and reduced efficiency caused by long-term labor of artificial;And through machine determination, consistency is strong, avoids randomness, and guarantees the overall quality of flange.

The embodiment of the invention discloses a long-term future transaction risk assessment system based on a hybrid model, and the system guarantees that a prediction process is only executed before an effective transaction day through a dynamically updated transaction day detection and screening mechanism. Performing preprocessing and feature engineering on the original data, constructing multi-scale features and performing intelligent screening; then, a point location of a future price and upper and lower limits of a fluctuation interval are respectively predicted by adopting a triple LSTM network, and a prediction result is subjected to rationality constraint; and finally, performing weighted fusion on the LSTM output and the sequence of the short-term prediction model through a consistency correction algorithm to generate a final prediction result, and generating risk assessment data according to the prediction result. According to the method, time sequence modeling, feature engineering and result correction strategies are fused, and the technical problems of model learning distortion and multi-task output logic conflicts caused by neglecting the market calendar effect and depending on a single model in a traditional method are effectively solved, so that a prediction sequence which is high in stability and high in consistency and meets a predefined constraint relation is generated.

This invention relates to the field of battery trays, and more particularly to a battery tray lifting lug connection structure and its connection method. Specifically, it discloses a battery tray lifting lug connection structure, comprising: a tray frame and a lifting lug sleeve. A through mounting groove is formed on one end face of the tray frame, and the lifting lug sleeve is interference-fitted into the mounting groove. An adhesive layer is filled between the contact surfaces of the lifting lug sleeve and the tray frame. Unlike welding in the prior art, this application uses an interference fit for fixing, followed by adhesive bonding for reinforcement. This eliminates the need for welding during processing, avoiding defects associated with welding and facilitating application in industrial production lines. The assembly process design does not require consideration of the impact of material parameters on welding, improving production efficiency and resulting in a smoother and more aesthetically pleasing product surface.

The invention discloses a U-Net-based geoelectric high-resistance organic pollution identification method, system and equipment. The method aims at solving the problems that in the prior art, identification of a high-resistance organic pollution area with weak signals and fuzzy boundaries in geoelectric data is low in efficiency and poor in precision and depends on manual interpretation. According to the technical scheme, the method mainly comprises the steps that two-dimensional geoelectric profile data of a target area are collected and preprocessed; constructing an improved U-Net segmentation network fused with an attention gate module so as to enhance the focusing capability of the model on weak pollution characteristics; training the network by adopting a progressive strategy; and finally, inputting to-be-identified data into the trained model, and automatically outputting a high-precision high-resistance organic pollution region segmentation map. The method realizes full-process automation of pollution identification, has the advantages of high identification precision, fast processing speed and strong anti-interference capability, and can be widely applied to pollution site investigation, environment monitoring and restoration engineering.

The invention provides a parameter calibration method, computer equipment and a storage medium, and the parameter calibration method comprises the steps: obtaining a plurality of image sets under the same target color temperature, the plurality of image sets being image sets corresponding to a plurality of illumination intensities; determining a first parameter pair corresponding to each image in each image set to obtain a plurality of first sets; determining a second parameter pair in each first set in the plurality of first sets to obtain a plurality of second parameter pairs; the second parameter pair is the first parameter pair with the minimum chromatic aberration in the first set; and screening out a target parameter pair corresponding to a target color temperature from the plurality of second parameter pairs, and calibrating camera parameters under the target color temperature based on the target parameter pair. According to the scheme, the multi-illumination-intensity image set is combined under the same target color temperature, white balance and color correction parameter selection are optimized, and the color consistency and precision of an image processing link are improved.