35results about How to "Accurate processing" patented technology

The application discloses a smart community police management system and method based on Internet of Things security, and belongs to the technical field of smart communities, and solves the problem that existing system data processing cannot utilize edge computing nodes for low-delay real-time analysis, and cannot meet timely early warning requirements, the method comprising preprocessing of multi-source heterogeneous community monitoring information, analysis and processing of the community monitoring information based on edge computing, and generation of a risk propagation path in combination with front-end analysis results and heterogeneity characteristics; in the application, analysis and processing of the community monitoring information based on edge computing avoids the delay of centralized processing, can quickly trigger early warning in the early stage of a risk event, thereby gaining golden disposal time for risk event disposal, and a risk analysis model realizes a leap from single-node anomaly detection to composite risk quantification through multi-dimensional feature fusion and dynamic space-time reasoning, and realizes multi-dimensional feature fusion and dynamic reasoning capability of the risk event.

The application provides a perception measurement data processing method and device and a storage medium. A first device determines a level of perception measurement data and sends the perception measurement data with the determined level to a second device, so that the second device can accurately process or apply the perception measurement data according to the level of the perception measurement data, thereby improving wireless communication capability.

This invention discloses a method for updating multi-source heterogeneous pipeline data, belonging to the field of data update technology. The method includes: creating a data download task, recording the download range and pipeline type information, and determining whether there is an associated data entry task; if so, waiting for the associated task to execute; creating a data entry task, determining whether there is an associated data download task, and waiting for the associated task to execute; reading multi-source pipeline data within a specified range through a download queue concurrency control mechanism, and assembling and downloading the data format; performing a quality check before data entry through an entry queue concurrency control mechanism, reading the data to be entered into the database and the data in the current database; performing repair and testing on the read data, and comparing the differences between additions, deletions, and modifications; updating the compared addition, deletion, and modification information to the current database, and synchronizing the deletion and modification information to the historical database.

The utility model provides a bank outlet delivery machine control system. The bank outlet delivery machine control system comprises a client, a delivery total device, a dispatching center and an outlet terminal. Data communication connection is established between the client and the delivery total device; and data communication connection is established between the delivery total device and the dispatching center and the network terminal. Wherein the delivery total device comprises a delivery middleware and a delivery transaction cloud, and the delivery middleware adopts an intelligent picking-up cabinet.

This utility model discloses a low-noise electric lawnmower, relating to the field of lawnmower technology. It includes a frame with a U-shaped structure and a drive assembly at the bottom. A motor is mounted inside the frame, moving vertically, and a mowing assembly is fixedly mounted on the motor's output shaft. The mowing assembly includes a fixed cover, an adjusting post, and mowing blades. The upper surface of the fixed cover is fixedly connected to the motor's output shaft, and the adjusting post is fixedly mounted at the bottom. Three mowing blades are slidably mounted on the bottom side of the adjusting post. This utility model utilizes a rotating shaft, worm gear, worm, and adjusting disc. Rotating the adjusting disc drives the rotating disc via the worm gear, causing the connecting rod to slide along the guide groove, simultaneously adjusting the spacing between the three sets of mowing blades. This allows for free adjustment of the mowing range, enabling efficient handling of large lawns while precisely trimming corner areas, reducing repetitive trimming, optimizing the work path, and achieving energy-efficient and intelligent lawn maintenance.

The utility model discloses a synchronous belt surface glue edge grinding machine, which relates to the technical field of synchronous belt production, and comprises a transverse rail, a rotating seat rotatably connected to the upper side of one end of the transverse rail, a plurality of synchronous wheels with different wheel diameters arranged on the front side of the rotating seat, a movable seat which slides left and right arranged on the upper side of the transverse rail, and a movable seat which slides left and right arranged on the movable seat. A vertical seat is fixedly installed on the upper side of the movable seat, a sliding seat sliding up and down is arranged on the vertical seat, and a plurality of synchronous wheels with different wheel diameters are correspondingly arranged on one side of the sliding seat. According to the synchronous belt tensioning device, a plurality of adjustable assemblies such as the moving seat, the sliding seat and the rotating seat can be adjusted according to synchronous belts of different specifications, the synchronous belt tensioning device adapts to the synchronous belts of different lengths and widths, the universality of the device is improved, the synchronous belts can be accurately tensioned through cooperation of the synchronous wheels, the clamping blocks and the sliding seat, and the production efficiency is improved. It is guaranteed that the synchronous belt is in an ideal tension state all the time in the edge grinding process, the uniform edge grinding effect is provided, synchronous belts of different specifications can be precisely processed, and various production requirements are met.

The application discloses a multi-agent dynamic real-time path planning method and device based on signal timing logic, and relates to the technical field of control methods. The method comprises the following steps: acquiring multi-robot path planning task information and a preset space-time constraint task demand; constructing a multi-robot task specification based on signal timing logic, and defining a corresponding robustness evaluation function; constructing a comprehensive path cost function based on the robustness evaluation function; introducing the path cost function into a path expansion and reconnection process based on a real-time rapid expansion random tree algorithm, updating a search tree structure, and generating a candidate path meeting environment constraints and timing constraints; planning paths for robots in sequence according to a preset multi-robot cooperative planning strategy, taking the path information of the robots that have been planned as dynamic obstacles and performing progressive cooperative obstacle avoidance, and outputting a conflict-free trajectory adaptive to a dynamic environment. The application can solve the path planning problem in a multi-agent scene.

Embodiments of the present application provide a micro-service division method and device, electronic equipment and readable medium, by obtaining the function log of the micro-service model, based on the micro-service model, the classification identifier of the function corresponding to the vertical function subclass is extracted from the function log, the domain keyword of the vertical function subclass is obtained based on the function log, the domain identifier of the vertical function subclass is determined from the function log based on the classification identifier, a plurality of domain phrases are extracted from the domain identifier, a phrase pair is selected from the plurality of domain phrases, the similarity between the phrase pair is calculated, the domain phrases in the phrase pair are distinguished based on the similarity, the domain phrase corresponding to the domain identifier and containing the domain keyword is determined as the domain bounded context of the vertical function subclass, the business domain corresponding to the micro-service in the micro-service model is determined through the domain bounded context, thereby determining the domain to which the function module of the micro-service of the micro-service model belongs, and determining each sub-domain bounded context in the domain.

The application discloses a game virtual role behavior decision-making method based on deep reinforcement learning, comprising the following steps: S1, obtaining the current environment state information of a game virtual role, and obtaining standardized environment state features after preprocessing the environment state information; S2, performing hierarchical reinforcement decision-making based on an intention-risk double-layer decoupling architecture, and generating a candidate behavior action set matching the current environment state; and S3, performing robustness screening on the candidate behavior action set through opponent counterfactual simulation, and the application relates to the technical field of game artificial intelligence. The game virtual role behavior decision-making method based on deep reinforcement learning performs robustness screening on the candidate behavior action through opponent counterfactual simulation, ensures that the selected behavior not only conforms to the current environment state, but also exhibits good stability and benefits under various possible opponent strategies, and greatly improves the ability of the game virtual role to cope with complex situations.

The utility model relates to charging device technical field especially is a kind of charging device of non-coal mine trackless vehicle, including door leaf, door leaf left end rotationally connected with charging control box subassembly, charging control box subassembly front end is fixedly connected with charging plug subassembly, charging control box subassembly inboard is installed with auxiliary assembly, charging control box subassembly includes control box ontology, control box ontology front end is fixedly connected with built-in cylinder shell, built-in cylinder shell inboard is equipped with the communication air hole, communication air hole inboard is fixedly connected with solenoid valve, built-in cylinder shell bottom end is fixedly connected with suction integrated air pump, built-in cylinder shell inboard is fixedly connected with air bag sealing ring, auxiliary assembly includes round plate, round plate outboard is fixedly connected with rubber sealing ring, in the utility model, device is accurately positioned and sealed to charging plug after charging, prevent moisture impurity invasion, reduce the short circuit, corrosion and other risks caused by moisture, ensure the long-term stable operation of charging equipment.

This invention discloses a multimodal model training method, a multimodal data processing method, apparatus, device, and medium. The method includes: acquiring multiple training samples; encoding the training samples using initial encoders corresponding to multiple modalities to determine multiple initial encoded outputs; compressing the initial encoded outputs using initial compression layers corresponding to multiple modalities to determine initial compressed outputs of the same size for each training sample; fusing each initial compressed output using an initial language model to determine initial text data; calculating a loss based on the text compressed output, non-text compressed output, and initial text data to determine a target loss function value; and determining a multimodal model based on the initial encoder, initial compression layer, and initial language model when the target loss function value satisfies a preset convergence condition. This method can obtain a multimodal model for processing textual and non-textual modal data with relatively low training cost.

The application discloses a profile error calculation method for a numerical control machining device, and relates to the technical field of numerical control machining.The method takes a time point corresponding to an expected position point as an initial value of a Newton iteration method, determines a potential time interval in which a time point corresponding to a minimum value of a profile error evaluation function is located by using a gradient descent method, and then dynamically switches the Newton iteration method and a dichotomy method to accurately solve a target time point in the potential time interval, so that the method quickly and reliably converges to a local optimal point closest to the expected position point.The method has the speed of the Newton iteration method and the stability of the dichotomy method, improves the reliability and robustness of a profile error calculation result, and provides an efficient and stable calculation basis for subsequent profile precision control and real-time compensation.

This invention discloses a heterogeneous dual-stream Chinese memory reasoning method based on dynamic adjustment of semantic confidence, relating to the fields of natural language processing and large model architecture optimization in artificial intelligence. This application employs a semantic mapping table and gating mechanism to dynamically adjust the weights of the glyph feature vector and the context semantic vector of each Chinese character to generate a fused representation of each Chinese character, thereby more effectively distinguishing similar-looking characters and more accurately processing abstract words. Cross-attention calculation is performed on the semantic subgraph to obtain a corrected vector representation for the target text. Since the number of nodes in the semantic subgraph is limited, this correction process significantly reduces computational consumption compared to the global attention calculation of Transformer models or static hybrid architectures such as Jamba in the same text processing scenario.

The application provides a large model fine-tuning method and device for a railway design intelligent agent tool call, the method comprising: constructing a supervised fine-tuning data set in the field of railway design; constructing a direct preference optimization data set based on the success and failure feedback of the large model intelligent agent call; using the constructed supervised fine-tuning data set and direct preference optimization data set to pre-train a large language model; using the supervised fine-tuning data set to perform single supervised fine-tuning on the pre-trained large language model to obtain a large language model after supervised fine-tuning; using the direct preference optimization data set to perform multi-round preference optimization fine-tuning with feedback on the large language model after supervised fine-tuning to obtain a large language model after optimization fine-tuning. By constructing high-quality data and fine-tuning the large language model, the application significantly reduces the risk of the large language model fabricating tools or misadjusting interfaces in complex design tasks, so that the intelligent agent has stable and controllable tool collaboration capability in the real railway design software environment.

The utility model relates to wafer processing technical field especially, relates to a wafer cutting machine. The utility model provides a wafer cutting machine, including square through frame, marble base, marble stand, marble crossbeam, laser light path, Z axle, mounting panel, cutting head, connecting block and connecting wire etc., be equipped with marble base on square through frame, marble base rear side symmetry is equipped with marble stand, marble stand top between being equipped with marble crossbeam, be equipped with laser light path on marble crossbeam, marble crossbeam front side is equipped with mounting panel, and the front side mounting of mounting panel has Z axle, and the output end of Z axle is connected with connecting block, and the middle part mounting of connecting block has cutting head, and connecting block and laser light path are connected through connecting wire, still include the right side of connecting block is equipped with visual system. Through the unique visual system that camera one, camera two and camera three constitute, effectively promoted the flexibility and adaptability of cutting machine in the cutting of residual piece.

The application discloses a kind of edge data real-time computing method and system based on go-streams, it is related to edge data processing technical field, it is based on streaming processing library go-streams, specific content includes: collecting edge real-time data, the collected data is decomposed, according to filter condition executes filtering, and the data target is screened out and integrated into target format, realizes data update release;Collecting edge real-time data and executing classification according to the same time requirement, then different partition processing operations are carried out according to parameter list by partition function, realize the timing release of data;By partition function, the data of update release is transmitted into specified partition and is handled to update release, the timing release logic is unchanged, and invalid data is handled.The application can analyze stream data in real time and accurately process massive high-concurrency data at one time, can quickly capture valuable information for users and distribute, realize the update release and real-time release of data.

This utility model relates to the field of stabilization mechanism technology, and in particular to a stabilization mechanism for silty soil. Its technical solution includes at least two sets of bases, with a set of guide rods fixedly disposed between the bases. A first cylinder is fixedly disposed on the upper surface of the base, and a sliding sleeve is fixedly disposed at the output end of the first cylinder, the sliding sleeve being movably sleeved with the guide rods. A first fixed seat is fixedly disposed on the upper surface of the sliding sleeve, and a connecting plate is rotatably disposed on the first fixed seat. A second fixed seat is fixedly disposed on the upper surface of the base, and a mounting plate is rotatably disposed on the second fixed seat. One end of the mounting plate is rotatably connected to the connecting plate, and a mixing component for stirring the silt is disposed on one side of the mounting plate. This utility model can flexibly adjust the stirring angle according to complex geological conditions, thus being applicable to different silty geological treatments, accurately treating silty soil at different depths and angles, ensuring thorough mixing of the solidifying agent and silt, and fully realizing the solidification effect.

This invention relates to the field of computer vision technology, specifically to a point cloud registration method, system, storage medium, and apparatus based on a diffusion model. The method includes: acquiring training samples, including source point clouds and target point clouds; using a point cloud feature extraction module to extract features from the source and target point clouds respectively, obtaining features 1 and 2; using a feature interaction module to fuse features 1 and 2, obtaining features F1 and F2; using a point cloud generation module to generate two aligned point clouds, Ag and Bg; using a transformation matrix prediction module to calculate the correspondence between the original point cloud and the generated point cloud Ag, and between the original point cloud and the generated point cloud Bg, obtaining the predicted transformation matrix and translation vector; calculating the model's loss function, adjusting the model parameters, and completing model training when the loss function converges. This invention, based on a diffusion model, transforms the registration problem into a generation problem, improving the accuracy of point cloud registration.

The utility model discloses a 3D detection device for height detection of mobile phone shell side, including base and install two longitudinal guide rails on the upside of base, the upside of two longitudinal guide rails all is provided with the stage to lift the product, the upside of base is provided with the transverse guide rail, the front side of transverse guide rail is provided with electric cylinder, the downside of electric cylinder is provided with line sweep head, the upside between two longitudinal guide rails is provided with the limit board, the downside of two limit boards and respectively close to left and right sides all are provided with the supporting plate, the upside of two supporting plates all is provided with triangular prism, the inside of two stages all is provided with the lift cylinder to lift the product and move up and down, through the rubber sleeve of triangular prism left and right sides, reduce the vibration amplitude of transmission to triangular prism, when the reflection of triangular prism to mobile phone shell, the picture reflected is more stable, clear.

The utility model discloses a kind of galvanization automatic feeding rotary table mechanism, to solve the problems such as low efficiency, poor accuracy of existing galvanization feeding link, the mechanism includes rotary table mechanism main body, its bottom is equipped with base, upper operating platform has, middle is supported through stand, tray is arranged in the rotary table of operating platform upper outer side, inside transmission motor drives rotary table rotation, jacking cylinder below right side can be driven by telescopic link to lift top tray, workpiece in tray is lifted, tray is positioned by the clamping table nesting of mounting seat and rotary table, discharging frame is equipped in operating platform right side, and the discharging roller in its boom is driven under servo motor, cooperate rubber wheel to drive workpiece from discharging chute discharging, the mechanism realizes the automation circulation operation of galvanization feeding, improves feeding efficiency and accuracy, reduces labor intensity, and guarantees the efficient and stable operation of galvanization production process.

The application discloses a large-flow mud circulating system and a deslagging method for super-large-section shaft construction, and belongs to the technical field of tunnels and underground engineering. The deslagging method comprises the following steps: collecting mud pressure, concentration, flow rate and excavation face muck profile data of each branch pipeline; fusing the collected multi-dimensional observation data to generate an excavation face muck deposition thermal diagram, identifying a high-risk muck accumulation area and calculating a target suction flow instruction value for optimizing flow distribution; adjusting the valves and pump groups of each branch pipeline based on the target suction flow instruction value, driving the jet nozzle to perform targeted flushing on the high-risk area and forming a local reinforced circulating flow; and continuously pumping the mud containing muck to the ground slurry treatment station through the annular main pipe, and the ground station performs solid-liquid separation on the muck-containing mud. The application dynamically adjusts the mud circulating operation in the super-large-section shaft construction in real time, accurately identifies and processes the muck accumulation area, and ensures efficient and sustainable cleaning operation.

A method for positioning and selecting LED chips includes: 101. Fabricating LED semiconductor dies using a photomask with a fixed spacing, and performing parameter point measurements on the fabricated LED semiconductor dies to obtain their point measurement data; 102. Determining the actual BIN segment interval to which each LED semiconductor die belongs based on the point measurement data; 103. Recording the grid layout of each LED semiconductor die to obtain layout data; 104. Sorting; the sorting device, based on the layout data, picks out LED semiconductor dies belonging to the same actual BIN segment interval from their original positions on the wafer and moves them to the corresponding blue film; wherein, the sorting device includes multiple individually controllable picking devices, and the spacing between each picking device is the same as the grid spacing, so that the sorting device can selectively pick up the corresponding LED semiconductor dies according to the layout data, which can improve the sorting efficiency of LED semiconductor dies in chip production, ensure chip quality, and help reduce production costs and improve automation level.

Provided in an embodiment of the present application are a flow control method, apparatus and device, and a storage medium, the method comprising: a network device receiving a plurality of data packets, the plurality of data packets comprising a first data packet and a second data packet, the first data packet carrying a first preset tag, the second data packet carrying a second preset tag, the first preset label indicates that the sender does not obtain the credit value allocated by the receiver, and the second preset label indicates that the sender has obtained the credit value allocated by the receiver; if the available length of the cache queue in the network equipment is greater than a first threshold value, writing the first data packet and the second data packet into the cache queue; and sending the data packet in the cache queue. According to the scheme, the network bandwidth can be fully utilized in an AI large model training scene, the flow completion time is shortened, and the training efficiency of the AI large model is improved.

The application discloses a kind of denture insertion connection structure generation method and device, wherein the method includes: based on denture and denture plate model generation bottomless denture model grid, and the edge of this denture model grid is optimized, and optimized denture model grid is obtained;The two-dimensional discrete boundary curve generated by the model grid is inward equidistant, and the bottom boundary curve is obtained;Based on the curve, the first connection structure bottom surface grid generated by the model grid is cut, and the second connection structure bottom surface grid is obtained;The equidistance and edge deformation of the bottom surface grid are carried out, and the third connection structure bottom surface grid is obtained;The boundary vertex of the bottom surface grid and the boundary vertex of the model grid are subjected to CDT processing, and the connection structure side surface grid is obtained;The side surface grid and its junction are subjected to smoothing processing, and the denture insertion connection structure is obtained.The method and device of the application can solve the problem that the connection structure may exist in the insertion direction.

The application provides a real-time service monitoring and accurate abnormality diagnosis system, relates to the technical field of data processing, and comprises a collection module, which collects images of interactive positions of a fixed marketing end to obtain interactive videos; an extraction module, which extracts first interactive features of a first interface of a service corresponding to a screen in the interactive videos; an identification module, which identifies attribute features of first interactive personnel to obtain first estimated attributes and identifies interactive features of the first interactive personnel to obtain second interactive features; and a diagnosis module, which performs combined verification diagnosis based on the first interactive features, the first estimated attributes and the second interactive features to obtain an abnormality diagnosis result of the fixed marketing end or the first interactive personnel, can monitor services in real time, jointly analyzes multidimensional data, and improves the accuracy of abnormality diagnosis.

This utility model provides a water system and a water purifier including the same. The water system includes a room temperature water tank and a hot water tank. The top of the hot water tank has a first connecting port located above a preset maximum water level. The top of the room temperature water tank has a second connecting port, which connects to the first connecting port. The top of the room temperature water tank has an overflow prevention drain located above a preset maximum water level and connected to an external drainage device. The water purifier includes the above-described water system. Through this configuration, the hot water tank and the room temperature water tank are connected. When the hot water tank overflows, water flows into the room temperature water tank through the first connecting port. The room temperature water tank cools the hot water tank. If the room temperature water tank overflows again due to the inflow of water from the hot water tank, it is discharged through the overflow prevention drain. This properly handles the overflow from the hot water tank, thereby reducing damage to the pipes caused by directly discharging hot water overflow.

This invention relates to the field of data processing, and more particularly to a human-computer interaction method for an intelligent simulated baby robot based on user behavior pattern recognition. The method includes: real-time acquisition and preprocessing of user behavior data; extraction of preliminary feature data from the preprocessed behavior data and dimensionality reduction processing to obtain dimensionality-reduced feature data; intelligent fusion processing of the dimensionality-reduced feature data using an adaptive spatiotemporal feedback embedded multidimensional data fusion algorithm to obtain comprehensive behavior data and identify the user's current needs; prediction of user behavior based on the comprehensive behavior data; merging the user's current needs with the predicted user behavior results to obtain a comprehensive demand result; and calculation of the optimal response delay time based on the comprehensive demand result to realize the interaction between the intelligent simulated baby robot and the user. This method solves the technical problem of inaccurate and incomplete processing of user behavior data by traditional robots, leading to poor adaptability and stability in interaction with the simulated baby robot.