95results about How to "Accurate processing" patented technology

The invention discloses a dynamic obstacle avoidance method and system for a substation inspection robot. The position of the robot is positioned based on laser point cloud data, and static and dynamic obstacle features are extracted at the same time. An environment association graph is constructed through perception information in the advancing process, and feature information of each node serves as an attribute of the environment association graph; calculating the distance, the relative speed and the relative angle between the edge weights of the nodes according to the nodes; on the basis of the environment association graph, aggregating all-graph obstacle node information to generate real-time feature representation for robot nodes, and correcting a calculation mode of attention weight according to edge weight between the nodes; and finally outputting a real-time feature vector of the robot node. And defining a reinforcement learning framework and executing path planning. According to the invention, through combination of GAT and dynamic planning, efficient obstacle avoidance and path planning of the robot in a substation environment are realized, and the decision and execution capability of the robot in a dynamic complex scene can be improved.

The invention discloses an interactive load prediction method based on fusion of prior knowledge and data driving, and the method comprises the steps: reconstructing a load sequence into a trend load sequence and a disturbance load sequence through modal decomposition, and constructing a prior knowledge base of tag-feature weight according to SHAP interpretability analysis; and through a prior knowledge base and feature contribution analysis, channel-level weight learning is carried out by using an automatic correlation determination module, and key input features are obtained. And inputting the reconstructed load sequence and the key input features into an improved Transform model, mapping a priori knowledge base into a priori knowledge matrix, embedding the priori knowledge matrix into the model, and generating a load prediction result. And carrying out interpretability analysis on a prediction result, and feeding back and updating an analysis result to a priori knowledge base to realize dynamic collaborative updating of prediction and the knowledge base. According to the invention, organic combination of expert knowledge and a data-driven model is realized, and the precision and stability of load prediction are improved.

The invention belongs to the technical field of communication, and particularly relates to a router system service exception self-healing method based on cloud AI, which comprises the following steps: deploying an exception detection module at a router end, collecting system logs and state data in real time and generating a standardized exception report; uploading the report to a cloud AI server through an encrypted MQTT protocol; the cloud calls a hybrid analysis model composed of a rule matching engine, a machine learning classifier and a reinforcement learning decision network to generate a self-healing strategy instruction packet; the router end receives and executes the strategy, completes service restart, configuration rollback or hotfix loading and other operations, and verifies the self-healing effect; when communication interruption exceeds a threshold value, an embedded loopback self-healing subsystem is automatically activated, and abnormity is independently handled based on a local strategy library. According to the technical scheme, millisecond-level abnormal response and high-success-rate autonomous recovery can be achieved, the network availability and the service continuity are remarkably improved, and the disaster recovery self-healing capacity is still achieved when the cloud end is disconnected.

The application relates to the chip technical field, in particular to a target timing path acquisition method, electronic equipment and medium, the method comprises the following steps: S1, generating an original label database and an original timing margin database based on original timing constraint information of chip design; S2, generating a search label database and a search timing margin database based on search timing path constraint information and the original label database; S3, determining a candidate search path endpoint based on the search label database, the search timing margin database and target user constraint information; S4, performing one or more operations of path pruning, deduction and filtering based on the search label database and the search timing margin database, and generating a candidate subgraph and a candidate original path by tracing back from the candidate search path endpoint; and S5, splicing the candidate original path and the corresponding candidate subgraph to generate a target timing path. The application improves the search efficiency and accuracy of the target timing path.

The present application belongs to the field of rockfill material gradation detection, and relates to a visual estimation method for three-dimensional size of rockfill material, comprising the following steps: 1) obtaining an image of mixed gradation rockfill material, and performing two-dimensional contour segmentation of rockfill material particles on the image of mixed gradation rockfill material; 2) extracting an estimated value of three-dimensional size of rockfill material particles based on the result obtained in step 1); and 3) estimating three-dimensional size of rockfill material based on the estimated value of three-dimensional size of rockfill material particles obtained in step 2). The present application provides a visual estimation method for three-dimensional size of rockfill material for gradation analysis, which has high identification accuracy and can effectively improve detection efficiency.

The invention provides an SSB time-frequency synchronization method and device, and relates to the technical field of mobile communication. The method comprises the following steps: receiving a synchronization signal block SSB signal sent by a base station; processing the SSB signal to obtain a target time domain sequence generated after processing, and performing sliding correlation on the target time domain sequence to obtain a time domain correlation value sequence; acquiring a peak value of the time domain correlation value sequence, and performing time synchronization of the SSB signal based on time offset corresponding to the peak value; after the time synchronization of the SSB signal is completed, obtaining a cyclic prefix (CP) removal sequence corresponding to the time domain sequence of the SSB signal, and obtaining a pre-frequency offset PSS time domain sequence generated after a primary synchronization signal PSS time domain sequence is subjected to multiple times of frequency offset adjustment; performing correlation calculation based on the CP-removed sequence and the pre-frequency offset PSS time domain sequence to determine a target estimated frequency offset; and completing frequency synchronization of the SSB signal based on the target estimation frequency offset. According to the invention, the PSS can be locked quickly and accurately to realize time-frequency synchronization.

The invention relates to the cross technical field of a computer information technology and a college management information system, and provides a college institution service intelligent response system fusing self-service questions and answers and task work orders. The system comprises a user interaction module, a self-service question and answer engine, a work order generation and distribution module, a background processing and feedback module and a service statistics and optimization module. According to the invention, an advanced natural language processing technology, knowledge graph construction and intelligent work order management are fused, so that a college institution service intelligent response system integrating self-service question answering and task work orders is constructed. The system not only realizes seamless access and efficient intelligent interaction of multiple channels and multiple terminals, but also ensures that various problems are timely and accurately processed through automatic classification, responsibility distribution and closed-loop management.

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.

A kind of aluminum electrolysis MES system real-time interface data exception feedback and dynamic re-push method, it is related to aluminum electrolysis production informatization management technical field, including steps S1, set interface data exception data rule, according to the abnormal data rule to the real-time monitoring and abnormal perception of multi-source interface data;Step S2, set exception data level, according to exception data level, MES system receives exception data and carries out hierarchical feedback;Step S3, according to the server state exception interface data dynamic re-push condition setting, MES system according to the server load state dynamically re-pushes exception data to external system etc..The present application makes up the problem that existing aluminum electrolysis MES system and external system exist in interface data interaction process in the production process, and exception feedback lag and re-push mechanism rigidification, ensure the accuracy and reliability of interface data.

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.

The invention relates to the field of microbiological examination laboratory equipment, and discloses a drying and disinfecting device and method for a specimen glass slide for microbiological examination. The device comprises a machine shell, a motor and a controller, the detachable rotating shaft is in transmission connection with the driving motor; the support frame is detachably arranged on the detachable rotating shaft and forms a plurality of mounting surfaces; the glass slide mounting plate is detachably mounted on the mounting surface, and a plurality of glass slide mounting stations are arranged on the glass slide mounting plate; the drying module comprises a drying lamp; the disinfection module comprises an ultraviolet disinfection lamp; and the control module is electrically connected with the driving motor, the drying module and the disinfection module and is used for executing a drying program and a disinfection program. The problems that in an existing glass slide processing method, the drying capacity and uniformity are difficult to consider at the same time, the drying process is uncontrollable, and low efficiency and safety risks are caused by separation of the drying process and the disinfection process are effectively solved.

The invention discloses a method and a device for generating a commodity pool based on a new machine recommendation algorithm of big data. The method comprises the following steps: constructing a basic view through a Spark framework; performing popularity quantitative evaluation through a commodity popularity scoring model, and respectively screening out hot-sell commodities and new commodities; performing data matching through an SQL linked table query operation, and generating an initial candidate commodity set and a quantity target value of each type of commodities; calculating to obtain a comprehensive score through a multi-objective optimization model; partition-level commodity filtering and optimization are carried out through a MapReduce programming model, and an optimized commodity candidate pool is obtained; performing commodity compliance verification according to items of the white list, and based on a forbidden list in the dimension list black list, adding just-needed categories according to scene requirements through reverse connection operation to obtain a final commodity candidate pool; and merging the commodity data in the final commodity candidate pool into a hive table for persistent storage. The problems that in the prior art, consumption behavior recognition is lacked, and the requirement of a special scene cannot be met are solved.

The utility model belongs to the technical field of grinding equipment, and particularly relates to a burr removing device for an injection molded part. Two groups of side polishing mechanisms are staggered up and down, are vertically distributed and form a three-dimensional polishing path channel together with a roller and a protective plate; and therefore, the device can conveniently and rapidly grind and polish burrs on the front side, the rear side, the left side and the right side of the injection molding part, the labor intensity of workers is reduced, and the product precision of the injection molding part is improved. Through the design of the concave-arc-shaped grinding wheel and the electric telescopic rod, the corner angle part of an injection molding part can be accurately treated, burrs and sharp edges can be removed, a product is smoother and safer, the electric telescopic rod can accurately control the position and height of the concave-arc-shaped grinding wheel, accurate control over the corner angle grinding process is achieved, and the automation degree is further improved.

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 invention relates to the technical field of cutting, detecting, hole separating and plate arranging, in particular to an automatic cutting, detecting, hole separating and plate arranging equipment system which comprises a discharging module, a mold hole number detecting module, a cutting module, a visual detecting module, a code printing module, a code scanning module, a plate arranging and sorting module and a control module. Wherein the discharging module is used for automatically feeding a material belt, the mold cavity number detection module is used for identifying a product mold cavity number, the cutting module is used for cutting a product PIN, the visual detection module is used for PIN quality detection and positioning, the code printing module is used for product marking, and the code scanning module is used for reading and identifying code information. The wobble plate sorting module is used for classifying and wobbling products according to mold cavity numbers; the control module is used for coordinating the working process of each module and integrating intelligent algorithms to optimize production parameters; full-process automation is achieved, manual intervention is greatly reduced, the production takt is improved, the method is suitable for large-scale continuous production, and the production efficiency and the automation level are improved.

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.

The invention provides an industrial park innovation atmosphere evaluation method and system, and the method comprises the steps: carrying out the data preprocessing of an obtained initial historical live-action image set, and obtaining a target historical live-action image set; a multi-level industrial park innovation atmosphere evaluation system comprising a target layer, a criterion layer and an index layer is constructed, the target layer is used for defining an overall target of industrial park innovation atmosphere evaluation, and the criterion layer is used for disassembling the defined overall target of the target layer into two types of intermediate dimensions, namely visual feeling and element characteristics; the index layer is used for determining specific indexes with pertinence for each dimension of the criterion layer; scoring the target historical live-action image set according to the multi-level industrial park innovation atmosphere evaluation system to determine an evaluation criterion, and determining a core MLLM evaluation model according to the evaluation criterion; and based on the core MLLM evaluation model, establishing an automatic innovation atmosphere evaluation framework according to organic fusion of core driving subject identity definition, evaluation view and corresponding priority evaluation indexes.

The utility model belongs to the technical field of tools or table-type equipment for fastening, connecting, detaching or clamping, and particularly relates to an overturning positioning clamp capable of limiting a rotating angle, which comprises a first support, a main shaft capable of rotating is arranged on the first support, a clamping surface is arranged on the main shaft, a positioning component is arranged on the clamping surface, and the positioning component is arranged on the first support. The positioning part fixes a clamped part on the clamping surface of the main shaft, the first support is provided with a limiting groove, the main shaft is provided with a limiting block, or the main shaft is provided with a movable matching part, the movable matching part is provided with a limiting block, the limiting block is arranged in the limiting groove, and the clamped part rotates along with the main shaft. The limiting groove and the limiting block are matched so that the clamped part can rotate at a specific angle, when the limiting block rotates to different positions, different machining faces are arranged upwards, the positioning precision and stability in the machining process are guaranteed, operation is easy and convenient, positioning is accurate, the requirement for batch production is met, and the machining efficiency and the machining quality are improved.

The embodiment of the invention discloses an erasure management method and device for FOTA upgrade, electronic equipment and a storage medium, and relates to the technical field of embedded system firmware upgrade.The method comprises the steps that an upgrade package is downloaded and analyzed, whether a specific command is written into a BCB of equipment to be upgraded or not is determined according to whether a powerwash flag bit exists or not, and if yes, the specific command is written into the BCB of the equipment to be upgraded; when the equipment enters the Recovery mode, a flag bit in the BCB is checked, if the flag bit exists in the BCB, a related flag in the misc partition is cleared, and a silent erasing mode is started, and if no specific flag exists in the BCB, whether a standard Recovery command exists or not is checked, so that whether a Recovery main interface is displayed or not is determined, or whether the erasing mode is selected according to the flag bit in the misc partition is determined. And inhibiting all related UI outputs in the silent erasure mode, and after the erasure operation is executed, clearing the mark in the BCB and restarting the equipment. If standard erasing is adopted, the erasing progress is displayed on the Recovery interface, and after erasing is completed, checking and writing in the misc partition flag bit are carried out to prohibit silent erasing. The problem of repeated erasing in the prior art is effectively solved.

The utility model relates to dressing change device technical field, specifically disclose a dressing change device for outpatient nursing, include: base, the upper surface fixed connection of base has the supporting plate, the inside of supporting plate has the storage cabinet, and the outer wall of supporting plate is equipped with clamping mechanism, and the top of base is equipped with the sterilization mechanism, through the clamping mechanism that sets up, can closely adhere to the concave-convex profile of the surface of the limbs, can automatically adjust the clamping position and the degree of force according to the actual shape of the limbs, fill the gap on the surface of the limbs. When the swollen ankle or the deformed finger is changed, can ensure that the limbs are firmly fixed, will not slide in the process of changing dressings, let medical staff can be more composed, accurate treatment of the wound, reduce the risk of secondary injury of the wound due to the movement of the limbs.

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 invention discloses a real-time data fault hour processing method based on an interpolation algorithm. The method comprises the following steps: step 1, pre-configuring an attribute set for each data acquisition point in a real-time database; 2, collecting real-time data of the data collection points in the step 1, and judging whether the current data is a fault time value or not based on a preset rule; step 3, selecting an interpolation algorithm for the fault time value based on a multi-level decision mechanism when the fault time value is judged to be the fault time value; step 4, according to the selected interpolation algorithm, calculating a correction value by using the effective historical data; step 5, carrying out rationality verification on the correction value calculated in the step 4, and updating and outputting the quality code after the verification is passed; 6, the original fault time value and the correction value are stored in an associated mode, according to the method, the data are classified carefully, an appropriate interpolation algorithm is selected according to different data types and data conditions before the fault, the fault time value can be processed more accurately, and the precision of the interpolation result is improved.

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 kind of nuclear power equipment value chain manufacturing risk assessment methods.The present application determines risk group and risk factor in nuclear power equipment manufacturing from risk database;Adopt hesitating fuzzy language term set method, define a set of risk grade evaluation language set, define semantic function as conversion standard;According to risk group, risk factor and risk grade evaluation language set, obtain the evaluation information of each nuclear power equipment value chain manufacturing risk factor from risk database;The evaluation information is converted into triangular fuzzy number and aggregated, the risk importance and risk grade of each risk factor and risk group are determined, and the overall risk importance and risk grade are determined.The present application effectively and accurately processes fuzzy information in risk assessment, comprehensively analyzes the risk importance of each risk factor and risk group, and provides a systematic method for developing nuclear power equipment value chain manufacturing risk assessment.

This utility model relates to the field of wastewater treatment technology and discloses an improved structure for a miniature integrated wastewater treatment device, including a submersible pump, a flexible joint, a check valve, a butterfly valve, an electric butterfly valve (first and second), an electromagnetic flowmeter, a stirring pipe, and a controller. This solution enables precise water volume control through an intelligent monitoring system. While ensuring the equipment meets the required treatment volume, it also makes the equipment size more closely match the design volume requirements, thereby effectively saving equipment costs. Through this improvement, the miniature integrated treatment device can achieve long-term stable operation, avoiding prolonged overload operation and reducing the impact on subsequent biological treatment systems. Furthermore, this improvement eliminates the need for a power stirring device, achieving significant energy savings.

This invention provides a novel light field AR-HUD device integrating dual-focal-plane and triple-focal-plane displays. In this invention, light from three different virtual image distances is emitted from the same image source. The light from the farthest focal plane passes through an adjustable optical path device and is transmitted together with the light from the intermediate focal plane to a small freeform surface mirror. The light from the closest focal plane is emitted by the PGU and transmitted to the small freeform surface mirror. Then, the light from all three focal planes is projected onto a large freeform surface mirror and reflected by the car windshield into the driver's eyes, allowing the driver to simultaneously see images from three different distances. This invention uses a single PGU and, through its optical structure, can achieve switching between dual-focal-plane and triple-focal-plane light field AR-HUD displays, meeting the needs of more driving scenarios, resulting in more layered images and superior display effects, while avoiding a significant increase in cost, providing a new solution for the development of HUD technology.

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.