56results about How to "Strong consistency" patented technology

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 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 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 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 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.

This invention discloses a machine vision-based method for detecting intrusion targets on power transmission lines, belonging to the field of machine vision technology. The method includes: acquiring a sequence of monitoring images of the power transmission line; performing image enhancement processing on the sequence to form a standardized image sequence; determining the regional overlap ratio and distance relationship based on candidate target data and line hazard area data to form an intrusion determination result; and performing multi-frame consistency verification on the intrusion determination result to form an intrusion target detection result. By extracting conductor edges and determining the conductor centerline, a primary warning area and a secondary hazard area are further constructed. Intrusion determination is then performed by combining the regional overlap ratio of candidate targets, the minimum distance from the top point of the target to the boundary of the secondary hazard area, and the approximation trend in consecutive image frames. This method elevates the machine vision's recognition of targets around power transmission lines from simple target detection to a spatially driven, structured discrimination result.

This invention discloses an automated PVB film precision cutting and lamination production line, relating to the field of laminated glass production technology. It includes a first transport structure, a second transport structure, a third transport structure, and a fourth transport structure. The first transport structure is equipped with a detection mechanism, an automatic alignment structure, and a defective product pushing mechanism. A first servo module is used to transport the upper glass sheet, and a second servo module is used to transport the precision-cut PVB film. These components, along with a lifting assembly and a suction cup assembly, achieve alignment and lamination with the lower glass sheet. The second transport structure has a laser heating end and is equipped with a laser precision cutting robot to enable on-site cutting and use of the PVB film. This automated PVB film precision cutting and lamination production line operates within a cleanroom, automatically aligning and positioning the glass, performing clean online precision cutting, and automating the entire lamination process. It solves the problems of low manual efficiency, easy shrinkage and deformation of the film, and poor cutting accuracy, saving on cleanroom equipment costs. It features a high degree of automation, stable lamination quality, and is suitable for large-scale, efficient production of PVB laminated glass.

The invention is applied to the technical field of mechanical equipment state monitoring and intelligent fault diagnosis, and discloses a multi-modal feature fusion domain self-adaptive diagnosis method and system and a storage medium, through a feature correction module (FCM), a cross-modal guide mechanism is utilized to carry out bidirectional self-adaptive calibration on depth features of vibration and current signals, and the depth features of the vibration and current signals are corrected. Feature distribution is aligned, and modal specific noise is suppressed; then, the feature fusion module uses a cross attention mechanism to realize deep interaction and selective information enhancement based on the corrected features; finally, the generated high-quality fusion features are sent into a conditional domain adversarial network, domain invariant features are learned through class-aware adversarial training, and accurate diagnosis is achieved. According to the method, heterogeneity and noise interference among modals are effectively overcome, deep interaction and complementary information enhancement of multi-modal features are realized, and the fault diagnosis accuracy and robustness of the model on a cross-working-condition migration task with relatively large inter-domain difference are remarkably improved.

The utility model discloses an automatic antenna bending mechanism, which belongs to the technical field of antenna bending devices, and comprises a workbench, a rotating motor, an oscillating cylinder, a film folding plate and a film folding bottom plate, the film folding plate and the film folding bottom plate are both hinged on the workbench, the rotating axis of the film folding plate is parallel to the rotating axis of the film folding bottom plate, and the rotating axis of the rotating motor is parallel to the rotating axis of the film folding bottom plate. The rotating motor and the oscillating cylinder are both mounted on the workbench, the rotating motor is connected with and drives the film folding plate, and the oscillating cylinder is connected with and drives the film folding bottom plate; according to the utility model, the bending angle can be adjusted at will through the automatic bending mechanism, the antenna can be bent efficiently, the bending force and the bending position can be controlled more accurately, the consistency of produced products is stronger, the traceability of defective products is stronger, and the production efficiency is improved. And corresponding mechanisms can be rapidly and efficiently adjusted according to defective products.

The invention provides a data processing method, electronic equipment, a storage medium and a program product. The method comprises the following steps: in response to a data processing request, analyzing the data processing request to obtain account information and a request type; starting a database transaction based on the account information, and obtaining a hierarchical account book of the account information from a database; wherein the layered account book is obtained by layered summarization according to expiration time; determining target expired data in the layered account book according to the current time and the expired time; according to the request type and the target expired data, generating a transaction instruction for a hierarchical account book corresponding to account information in a database; and sending the transaction instruction to the database, so that the database performs data processing based on the transaction instruction.

The invention discloses a spiral rotor torsion extrusion machining device and method, and relates to the technical field of mechanical plastic forming. The spiral rotor torsion extrusion machining device comprises a workbench, a motor support is installed on one side of the upper surface of the workbench, a motor is installed on the upper surface of the motor support, and the working end of the motor is in transmission connection with an input shaft of a speed reducer; an output shaft of the speed reducer is in transmission connection with the clamping and feeding unit; a sliding rail is fixedly installed on the other side of the upper surface of the workbench, and a through groove is further formed in the other side of the upper surface of the workbench and located in the middle of the sliding rail. A mold extrusion unit is slidably mounted on the sliding rail; a driving unit is installed on the lower surface of the workbench, and the working end of the driving unit drives the die extrusion unit to slide along the sliding rail. The spiral rotor torsion extrusion machining device and method have the advantages of being high in efficiency, low in cost, high in material utilization rate, good in product mechanical performance, high in consistency and the like, and are suitable for batch manufacturing of spiral rotors.

This application provides an adaptive integrated land surface classification method and system based on multi-scale spatiotemporal partitioning, belonging to the field of remote sensing image processing technology. The method includes: acquiring multi-source remote sensing image data, digital elevation model (DEM) data, and historical land use data; partitioning the target area into spatial units based on the DEM data; identifying the phenological change process of each spatial unit using time-series data; determining spatiotemporal partitions based on the change process, historical land use data, and each spatial unit; constructing a feature set based on the spectral, textural, and index features of the topography and phenological characteristics of each spatiotemporal partition; selecting and applying a corresponding pre-trained land surface classification model based on the feature set and spatial units to obtain the classification result; and establishing a feedback update mechanism based on the classification result, multi-source remote sensing image data, and DEM data. This application improves classification efficiency and accuracy.

This invention discloses a device and method for creating a mouse model of chronic pancreatitis by impact, belonging to the technical field of animal experimental equipment. The device includes a vibration generator, a vibration rod, and a vibration head, and can also be equipped with an outer shell, levers, and a buffer sleeve. The vibration generator drives the vibration rod to generate high-frequency reciprocating vibrations in the vibration head. The vibration head is a miniature rigid structure with various end shapes such as spherical, spoon-shaped, and forceps-shaped. The outer shell enables tissue dissection, pancreatic clamping, and axial extension and retraction of the vibration head. The buffer sleeve blocks vibration transmission. The modeling method involves pre-setting the device parameters, exposing the pancreas through levers after abdominal incision, allowing the vibration head to contact the target area and initiate high-frequency vibration to complete the modeling. This device achieves precise targeted stimulation of the mouse pancreas, with controllable damage intensity, avoiding collateral damage to surrounding organs. It is simple to operate, has high model repeatability, and can construct mouse models of chronic pancreatitis of different degrees, making it suitable for basic research on pancreatic diseases.

This invention provides an additive for lead-acid battery positive electrode paste, the positive electrode paste, and a method for preparing the same. The preparation method of the additive includes the following steps: S1, mixing 100 parts by weight of lead powder, 11.5-12.5 parts by weight of water, 6-7 parts by weight of graphite, and 9.1-9.3 parts by weight of dilute sulfuric acid evenly to obtain a lead mixture; S2, spreading the lead mixture evenly in a sealed reaction vessel, controlling the temperature in the reaction vessel at 118-122℃ and the pressure at 5-6 kPa, maintaining a relative humidity of 100% for half an hour, then switching the relative humidity to 80%-85%, and then switching back to 100% after half an hour. This switching is repeated for a total of 8-10 hours, after which the lead mixture is dried and ground into powder. This invention uses high pressure and high humidity with cyclical switching to obtain a stable additive from the lead mixture, and ensures component consistency during the drying process through rapid drying.

The application discloses a hip joint posterior medial integrated dissection steel plate with a locking angle screw hole and a preparation method thereof, and belongs to the field of medical instruments. The dissection steel plate is a medical titanium alloy integrated forming structure, which comprises a steel plate main body running along the medial side of the posterior column of the acetabulum and a blocking support side extending to the quadrilateral body, and the overall form matches the dissection profile of the posterior column of the acetabulum and the quadrilateral body of Chinese people. The steel plate is provided with six groups of locking screw holes with preset fixed axial angles, the screw placement path is away from the acetabular articular surface, the posterior column fixation, the quadrilateral body surface blocking and the anterior column forward fixation can be realized synchronously, and the long circular press screw hole is arranged on the side support to adapt to the press of the fractured end. The preparation method is based on the CT three-dimensional reconstruction technology, and the dissection parameter quantitative measurement, three-dimensional simulation screw placement calibration, digital modeling and precision machining forming are adopted to support individual customization. The application can complete the fixation of complex acetabular fractures through a single posterior approach, the screw placement is safe and controllable, the mechanical property is stable, and the surgical trauma and the incidence of complications are effectively reduced.