44results about How to "Maintain accuracy" patented technology

The application provides a cross-domain data association mining method based on a knowledge graph, and through the design of a graph to enhance an association feature extraction unit and a cross-domain association strength evaluation unit, a relational graph convolution network and a multi-channel fusion scoring function are innovatively introduced, and in particular, through the design of a low-frequency relationship enhancement factor, the preference of the association mining for high-frequency relationships is effectively avoided, hidden and deep cross-domain association patterns can be found, and endogenous explainability is provided with the aid of a meta-path instance. In addition, the application constructs a feedback optimization closed loop from an association pattern explanation and visualization unit to other units, so that the association mining result can reversely affect the weight of semantic alignment and the parameter of the feature extraction network, and the system is endowed with the ability of continuous learning and self-adaptive evolution, so that when facing dynamic changing data distribution and business scenarios, the accuracy and robustness of the mining result can be long-term maintained.

The utility model discloses a naphthalene water reducer neutralization reaction device capable of automatically adding alkali, and belongs to the technical field of water reducer production equipment. The naphthalene water reducer neutralization reaction device with the automatic alkali adding function comprises a reaction tank, a tank cover is installed at the top end of the reaction tank, four supporting columns are installed on the outer side of the bottom end of the reaction tank, a cooling mechanism is installed on the outer side of the reaction tank, an alkali liquor tank is arranged on one side of the reaction tank, a ring pipe is installed on the inner side of the reaction tank, and a plurality of alkali liquor spray heads are installed at the bottom end of the ring pipe. The top end of the alkali liquor tank is provided with a liquor feeding mechanism for supplying liquor to the annular pipe, the top end of the annular pipe is provided with a cleaning mechanism for cleaning the alkali liquor spray head, the reaction tank is internally provided with a mixing mechanism, the bottom end of the reaction tank is provided with a liquor outlet pipe, and one end of the liquor outlet pipe is provided with a valve. The neutralization reaction efficiency is improved, and the practical value is relatively high.

The invention discloses a modeling platform for controllable intelligent photovoltaic management, and belongs to the technical field of photovoltaic energy. The platform comprises a storage layer, a calculation layer, a modeling integration layer and an interaction layer. The storage layer is used for being responsible for accessing and managing a plurality of data sources of the photovoltaic management platform; the computing layer is used for executing large-scale data processing tasks according to the data sources in the storage layer; the modeling integration layer is used for constructing and training a machine learning model according to the calculation layer and carrying out data analysis; and the interaction layer is used for performing user interaction and result display according to the analysis result of the modeling integration layer. According to the invention, big data processing, intelligent operation and maintenance, adaptive model optimization and deep learning capabilities are integrated, and the photovoltaic management level is comprehensively improved.

The utility model provides a kind of machining center contact type mechanical tool changing structure, it is related to mechanical tool changing structure technical field, including stand mechanism, the front of the stand mechanism is equipped with main shaft box, the front of the stand mechanism is close to top end place, and punch arm mechanism is installed in the inside of main shaft box, the stand mechanism includes stand main body, the top end of the stand main body is equipped with motor with output end towards bottom, the front of the stand main body is close to top end place and is equipped with punch block, the inside of main shaft box is close to the front place and is equipped with main shaft body, the top end of the main shaft box is close to left side place and is screw-connected with first fastening screw, the periphery of the first fastening screw is equipped with tension spring, the top end of the main shaft box is close to the front place and is screw-connected with second fastening screw, mechanical quick tool changing can be realized, additional transmission device is not needed, with the advantages, such as quick tool changing efficiency, small size, cost saving.

This invention provides a laser SLAM inspection vehicle and method suitable for complex underground infrastructure environments. A multi-line lidar system is equipped with multiple laser emission and reception channels to generate high-density, large-area 3D point cloud data. A high-precision inertial measurement unit (IMU) provides the system with high-frequency attitude, angular velocity, and acceleration information. A wheeled odometer collects wheel speed data to provide short-term pose increment information, effectively supplementing the lidar and IMU. An edge computing device performs real-time data processing using SLAM algorithms. An embedded motion control unit runs an operating system to precisely control the chassis motors and transmit data with various subsystems. The software framework is built on the operating system and includes distributed nodes, a publish / subscribe communication model, and an open-source toolkit ecosystem. This achieves lightweight 3D perception capabilities, strong anti-interference performance, and supports fully automatic online repositioning, making it suitable for use in underground infrastructure such as subway tunnels, urban utility tunnels, and large warehousing centers.

This invention provides a hydraulic integrated control system and method for an automatic weighing machine, relating to the field of hydraulic control technology. The system includes: a data receiving module for receiving raw weight signal streams, raw position signal streams, and raw vibration spectrum streams; a clutter filtering module for adaptive cooperative clutter filtering to obtain corrected weight signal streams and corrected position signal streams; a deviation calculation module for calculating real-time feeding lag deviations; a decision module for making feeding speed switching decisions and outputting a feeding gate control command sequence; a feedback module for performing handling task trajectory interpolation feedback to obtain multi-axis cooperative motion commands; and a timing control module. This invention solves the technical problem that existing automatic weighing machines, when performing multi-axis cooperative motions such as handling and conveying, often rely on single-axis control and lack efficient multi-axis cooperative control schemes, leading to reduced equipment accuracy and overall work efficiency.

The invention provides a vehicle data auditing method and device, equipment and a storage medium. The method comprises the following steps: analyzing a data security regulation text through a natural language processing technology, and extracting a data security entity and a constraint relationship thereof to construct a dynamic knowledge graph; determining a corresponding structured fact according to the vehicle multi-source data; mapping the structured facts to corresponding nodes of the knowledge graph to establish semantic associations; and performing reasoning verification based on the associated knowledge graph, judging whether the data processing activity meets compliance requirements or not, and generating an audit report. It can be understood that according to the scheme, intelligent and automatic auditing of the whole life cycle of the vehicle data is achieved, the method can dynamically adapt to regulation changes, and the auditing efficiency and accuracy are remarkably improved.

This invention discloses a method for an application server to obtain configuration data in a mission-critical service system. The method involves generating and updating initial configuration data, basic configuration data, and user configuration data through a configuration management system. The basic configuration data and the initial configuration data, which includes database system information and user configuration read identifiers, are sent to the application server. The application server establishes a connection with the database system based on the database system information. It determines whether to retrieve user configuration data based on the user configuration read-on-demand identifier. If the identifier is "yes," user configuration data is not retrieved, but the connection between the application server and the database system is maintained. If the identifier is "no," all user configuration data is retrieved from the database system at once, and the connection with the database system is no longer maintained. Each business sub-module is started using the basic configuration data. The database system is used for storing and accessing configuration data.

The utility model relates to the technical field of business management tools, and discloses a business management drawing ruler which comprises a main ruler, a first shaft body is arranged in one end of the main ruler, an auxiliary ruler is rotatably connected to the surface of the first shaft body and located above the main ruler, a dial is fixed to one end of the first shaft body, and a second shaft body is fixed to the other end of the first shaft body. A base is fixed to the top of the dial. According to the business administration drawing ruler, the dial and the angle pointer are arranged above the main ruler and the auxiliary ruler, the dial provides visual scales, the rotating degree can be more accurately controlled when the angle is adjusted, the angle pointer can indicate the current angle value, a user can conveniently check and confirm the angle value at any time, and the user experience is improved. Through the combined use of the dial and the angle pointer, errors generated when the angle is manually adjusted can be remarkably reduced, and the consistency and accuracy of drawing can be kept, especially in a scene where complex graphs are drawn or a high-precision requirement is needed.

The application discloses a renewable energy power generation uncertainty tracking method based on a recursive Gaussian mixture model, comprising the following steps: 1, obtaining a deterministic prediction curve of renewable energy power generation, forming a joint observation set containing predicted and actual power generation; 2, setting the cluster number as k, performing a k-means algorithm to obtain k clusters; 3, based on the k clusters, calculating initial parameters of each Gaussian component in the Gaussian mixture model; 4, updating the Gaussian mixture model parameters by using an expectation maximization algorithm to obtain starting optimal parameters; 5, constructing a recursive updating probability model, and based on newly-arrived samples, recursively updating the probability model; 6, using the updated Gaussian mixture model, calculating the conditional probability distribution of the actual power under the condition of the latest predicted power, so as to realize real-time quantification and tracking of the renewable energy power generation uncertainty.

The application discloses a kind of satellite navigation signal security isolation method and device.The isolation method includes satellite navigation receiving antenna simultaneously receiving multiple satellite navigation signals from different navigation satellites, by isolating device, these satellite navigation signals are respectively demodulated received, and using receiving information real-time recovery regenerates corresponding regenerative navigation signal, while detecting these satellite navigation signals, find any satellite navigation signal as spoofing signal, then block corresponding regenerative navigation signal output, while satellite navigation signal detected as real signal, corresponding regenerative navigation signal is combined and output to the satellite navigation receiving equipment protected.The method and device are not only beneficial to accurate isolation spoofing satellite navigation signal, but also beneficial to maintain the continuity and accuracy of real satellite navigation signal reception, realize the effective unity of satellite navigation signal detection, spoofing signal blocking isolation and uninterrupted reception of real signal.

The utility model discloses a detachable filter core combined type water purifying and drinking water machine, including water -drinking machine main part, the bottom of water -drinking machine main part left side is installed with the mounting block, the front side and the back of mounting block top all are seted up with the guide slot, the inner chamber sliding of guide slot is connected with the guide seat, the top of guide seat penetrates the top of guide slot, the top of guide seat is installed with the filter core frame, the inner chamber of filter core frame is provided with filter core assembly part, the top of filter core frame is provided with the access cover, the bottom of access cover is fixed with the top of filter core assembly part, the top and the bottom of access cover right side all are seted up with the sliding slot. The utility model discloses through the setting of water pan and filter screen, is used for collecting condensate or small water leakage, prevents these moisture overflow and gets wet desktop or ground, through mounting block, can firmly fixed filter core frame, ensures that filter core frame does not displace or sway in the operation process, and this helps to keep the stability and accuracy of filter core frame.

This invention discloses a data compliance dynamic detection method and system based on deep learning, belonging to the field of data security processing technology. It addresses the problem that existing methods, which focus primarily on text data processing when performing compliance detection based on extracted comprehensive semantic words, lack the ability to comprehensively process multimodal data and comprehensively evaluate complex compliance issues, leading to inaccurate compliance assessments. The method includes preprocessing the original data stream, extracting features from the preprocessed data stream based on data stream type, and using a compliance analysis model to identify and analyze multimodal feature sets based on a standard rule base. In this invention, preprocessing the original data stream filters and reduces noise in the multimodal data, ensuring the authenticity and validity of the data. Furthermore, the compliance analysis model's identification and analysis of multimodal feature sets ensures comprehensive processing capabilities for multimodal data and comprehensive evaluation capabilities for complex compliance issues.

This utility model discloses a precision parts sorting and packaging device, specifically relating to the field of parts sorting technology. It includes a support assembly, a movable assembly installed within the inner cavity of the support assembly, a limiting assembly installed near the center of the support assembly, a sorting assembly installed near the center of the limiting assembly, and a discharge assembly installed near the center of the support assembly. This precision parts sorting and packaging device, through its designed sorting and discharge assemblies, achieves rapid sorting, adapting to the needs of batch sorting of precision parts. It increases the number of sorting operations per unit time, ensuring overall process efficiency. Furthermore, the cylinder thrust can be precisely controlled by adjusting the air source pressure, allowing for the setting of appropriate thrust based on the part material and structural strength transmitted by sensors. This avoids deformation, breakage, or surface damage to parts due to excessive thrust, reducing the impact of impact vibration on precision parts.

The application discloses a contract compliance review method and system based on multi-agent cooperation, and relates to the technical field of intelligent review, comprising the following steps: collecting contract text and corresponding context information, establishing a continuous semantic trajectory in chronological order, which is used to provide a basic semantic reference for subsequent semantic analysis and compressed difference comparison; based on the continuous semantic trajectory, the change range of expression strength and responsibility expression is analyzed, semantic change points are extracted and a semantic difference anchor point list is generated, and the semantic change trend is recorded, which establishes a reference basis for semantic consistency detection of compressed content. Through multi-agent collaborative semantic analysis and dynamic compression adjustment, the application realizes semantic continuity and logical consistency of contract text in high-concurrent compressed transmission. Through semantic trajectory and anchor point tracking, the application avoids clause mismatch caused by compression aliasing, and realizes real-time semantic compensation by combining compressed deviation distribution and rhythmic compression, thereby guaranteeing stable, accurate and traceable review results.

The invention discloses a dynamic outdoor environment-oriented scene graph semantic navigation method, which comprises the following steps: S1, constructing a multi-level ownership graph which comprises a plurality of types of nodes associated through a hierarchical clustering relationship; s2, receiving a natural language instruction, performing hierarchical semantic retrieval and reasoning on the natural language instruction and the node description of the multi-level avatar, and determining a target node corresponding to the natural language instruction from the multi-level avatar; s3, acquiring a node of the current robot, and performing global path planning according to the target node and the node of the current robot; and S4, acquiring local real-time sensing data, performing local trajectory planning and safety control decision based on the planned global path and the local real-time sensing data, and generating a control instruction. According to the method, semantic navigation guided by natural language instructions can be realized in a large-scale dynamic outdoor environment.

The invention relates to the technical field of pipeline identification, in particular to a surface heavy oil steam injection pipe network extraction method and device based on a high-definition image, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-identified oil field remote sensing image, inputting the to-be-identified oil field remote sensing image into a feature segmentation model, and obtaining a feature segmentation image; and analyzing the feature segmentation image based on edge detection and Hough transform to obtain a surface heavy oil steam injection pipeline detection result in the feature segmentation image. The feature segmentation model is established by taking the convolutional neural network as a trunk network and fusing multiple network structures, the feature representation capability is improved, the accurate feature segmentation image can be extracted from the to-be-identified oil field remote sensing image, and then the feature segmentation image is analyzed based on edge detection and Hough transform, so that the recognition accuracy of the oil field remote sensing image is improved. The accurate detection result of the surface heavy oil steam injection pipe in the feature segmentation image is obtained, and reliable data support is provided for management of the surface heavy oil steam injection pipe.

This invention provides a flexible multi-gate single-channel OECT molecularly imprinted sensor and its fabrication method, belonging to the field of flexible chemical sensor technology. This sensor employs a unique multi-gate single-channel integrated structure with gates symmetrically arranged at equal intervals around the source and drain electrodes and synergistically controlled within the same channel. Combined with MIP and OECT technologies, it possesses both high-sensitivity amplification capability and highly specific recognition of three non-electroactive BCAAs (leucine, isoleucine, and valine), enabling the detection of multiple substances with a single device.

This utility model relates to the field of die casting technology, and provides a temperature control structure for die casting molds and a die casting mold. The die casting mold has a fixed mold frame, a moving mold frame, and a product cavity. The product cavity is located between the fixed mold frame and the moving mold frame. The temperature control structure includes: a heat insulation plate, which is placed between the fixed mold frame and the die casting machine to block the heat transfer from the die casting mold to the die casting machine; a core, one end of which extends into the product cavity to form a hole-like structure on the casting; a water channel is provided inside the core, and at least part of the inner wall of the water channel is provided with concave and convex structures distributed around the core axis. The cooling medium flows through the water channel to cool the core; the concave and convex structures form local reinforcing ribs or support points on the inner wall of the water channel, which improves the structural rigidity and deformation resistance of the core under high temperature and high pressure loads, making it possible to appropriately reduce the core wall thickness while ensuring the overall strength; the wall thickness reduction can effectively shorten the heat conduction path and improve the thermal response speed of the mold.

The secondary cable alignment device comprises a main control module, and a wiring module, a power supply module, a display module and a wireless communication module which are connected with the main control module, a first end of the main control module is connected with a first end of the power supply module, a second end of the power supply module is connected with a first end of the display module, and a second end of the display module is connected with a second end of the wireless communication module. The second end of the power supply module is connected with the first end of the wireless communication module, the second end of the main control module is connected with the second end of the display module, the third end of the main control module is connected with the second end of the wireless communication module, the third end of the main control module is connected with the first end of the wiring module, and the second end of the wiring module is connected with the first end of the secondary cable. And the second end of the secondary cable is connected with the other secondary cable alignment device. According to the secondary cable alignment device provided by the invention, simultaneous detection and checking of multiple loops can be realized, the efficiency and accuracy of the alignment process are improved, the possibility of human errors is reduced, and the reliability of cable connection is ensured.

The invention discloses a drug risk analysis method and system based on full-life-cycle data, and belongs to the technical field of drug quality and safety management.The method comprises the steps that a drug full-life-cycle causal network containing nodes and directed edges is constructed based on historical and real-time full-life-cycle data of drugs; calculating a node risk entropy of each node; performing risk conduction simulation to determine a risk accumulation condition; and predicting and outputting a risk outbreak path. The core of the method is that self-adaptive evolution is realized through a double closed-loop feedback mechanism: a first closed loop corrects the causal network according to a comparison result of a predicted risk outbreak path and an actual risk event, and a second closed loop analyzes and updates an ideal state baseline model according to a global risk state. The technical problem that an existing risk analysis model is static and poor in adaptability is solved, risk analysis capable of self-correction and evolution is achieved, and the long-term accuracy of risk prediction is remarkably improved.

The utility model relates to a gradienter for assisting wet etching of a solar cell. The gradienter comprises a U-shaped tube and a capillary tube, the left end and the right end of the U-shaped tube are connected with a left capillary tube and a right capillary tube respectively, and the left capillary tube and the right capillary tube are provided with scales. The U-shaped tube is filled with liquid, and the liquid also enters the left capillary tube and the right capillary tube; the left capillary tube and the right capillary tube are respectively fixed on the end surfaces of a rotating shaft corresponding to adjacent rollers in the chain type machine for wet etching, and the liquid level in the left capillary tube and the liquid level in the right capillary tube are positioned at the same scale position after the left capillary tube and the right capillary tube are fixed; if the liquid level of the left capillary tube and the liquid level of the right capillary tube are not at the same liquid level height, height deviation occurs between adjacent rollers in the chain type machine for surface wet etching. The device has the advantages of being easy to operate, convenient to maintain and high in measuring precision.

This invention provides a privacy-preserving method, system, and device for perturbation-based graph federation learning. Specifically, it includes the following steps: S0, acquiring original local graph data in the local environment of each federation participant, the original local graph data including graph node feature vectors and a first adjacency matrix; S1, calculating graph node embedding representation vectors based on the graph node feature vectors and the first adjacency matrix, simultaneously calculating the average degree of nodes, and then constructing a node similarity matrix; S2, selecting a potential edge for any node based on the node similarity matrix and average degree generated in S1, generating a potential edge set, and constructing a second adjacency matrix; S3, performing a secondary screening of the potential edges based on the potential edge set and the second adjacency matrix obtained in step S2, constructing a final adjacency matrix; S4, regenerating the graph node embedding representation vectors based on the final adjacency matrix obtained in S3, and uploading them to a central server.

The embodiment of the invention provides a coding and decoding method and device for a polygon mesh and a storage medium. The encoding method includes: receiving a polygon mesh, the polygon mesh including a plurality of vertices defining a plurality of faces; determining a mesh face type for at least a portion of the polygonal mesh; determining a first parameter corresponding to the surface mode according to the grid surface type; coding the first parameter according to the grid surface type; and generating a bitstream including the polygon mesh encoded according to the two-degree processing, the mesh face type, and the first parameter.

The invention discloses a space-time multi-factor fused elevator safety risk knowledge graph dynamic construction method and system. The method comprises the steps that space-time reference unification processing is conducted on multi-source heterogeneous space-time multi-factor data, attribute normalization reconstruction is completed, a standardized data set is generated, and data dimension alignment and integration are achieved. And elevator safety domain entities are extracted based on the standardized data set, space-time and domain attributes are extracted, space-time and domain association relationships among entities are constructed, and an entity-relationship system fusing space-time multiple factors is formed. Based on the system, a heterogeneous information network is built, an inference rule base is embedded, a knowledge graph ontology framework is built, concept hierarchies, attribute constraints and semantic association are defined, and building of a basic elevator safety risk knowledge graph is completed. And establishing a space-time dynamic updating mechanism based on the basic graph, and iteratively optimizing entity attributes, association relationships and inference rules according to real-time data to realize dynamic iterative construction of the knowledge graph.

This invention provides a method and system for dynamic control of urban traffic signals based on AI reinforcement learning. By using a pre-set learning model, this invention can generate instantaneous occupancy prediction coefficients and instantaneous dynamic threshold ranges corresponding to instantaneous detection information. It then determines the instantaneous occupancy level corresponding to the instantaneous detection information and finally selects a matching dynamic signal control strategy for signal control. This achieves adaptive adjustment of the dynamic threshold range based on real-time traffic conditions, replacing fixed threshold settings. This significantly improves the generalization ability and robustness of this method in complex traffic scenarios and avoids the dependence of static threshold methods on a single data distribution.

This invention discloses a CNC laser cutting machine tool for processing wind turbine parts, relating to the field of laser cutting equipment technology. It includes a machine body, a laser mounted outside the machine body via a drive assembly, and is characterized by further including a laser-following protection mechanism located at the bottom of the laser, and a traveling and unloading mechanism located inside the laser-following protection mechanism. The laser-following protection mechanism and the traveling and unloading mechanism enable a cylindrical block to move synchronously with the laser trajectory, ensuring that, during curved cutting, the anti-laser block inside the cylindrical block is always directly below the laser beam, thus providing protection. Simultaneously, the rollers in the traveling and unloading mechanism and the forward and reverse top blocks inside the top slide rail groove cause the moving plate and the scraper cutter to vibrate up and down, automatically scraping away and cleaning the hardened slag and molten metal residue that has cooled and solidified on both sides of the bottom of the sheet metal.

The invention relates to the technical field of talent management, and discloses a talent ability evaluation and post matching system based on a knowledge graph, and the system comprises a data processing module which collects individual information and target industry information, converts the individual information into an individual ability vector, and converts the target industry information into an industry demand vector; the graph construction module is used for constructing a cross-industry knowledge graph through multi-source knowledge fusion; the skill migration module is used for calculating skill migration complexity and a capability gap vector; the path planning module is used for generating a plurality of transformation paths and selecting an optimal transformation path based on a transformation path scoring function; according to the method, accurate matching of individual capabilities and post requirements is realized by constructing the cross-industry knowledge graph, and cross-industry skill migration paths can be identified, so that the system can discover potential matching opportunities which are difficult to identify by a traditional method, and the most suitable development paths are recommended for individuals.

The application discloses a high-resolution image repairing method and device and a storage medium, relates to the technical field of computer vision, and comprises the following steps: performing structural feature extraction on a damaged image to obtain a corresponding edge graph and a line frame graph; determining a multi-channel input tensor based on the damaged image, the edge graph, the line frame graph and a binary mask graph; inputting the multi-channel input tensor into a high-resolution structure repairing network to generate a high-resolution edge graph and a high-resolution line frame graph; performing fusion processing on the high-resolution edge graph, the high-resolution line frame graph, a mask image and the binary mask graph to obtain a structural visual fusion feature graph; inputting the structural visual fusion feature graph into a structure-enhanced texture repairing network to generate a high-resolution enhanced feature graph, and generating a high-resolution repaired image according to the high-resolution enhanced feature graph, so that the structural reconstruction capability of high-resolution repairing is improved, the texture repairing quality is enhanced, and a repaired result with reasonable structure and consistent texture semantics is generated.

This utility model discloses an integrated flow measurement and control gate, relating to the field of gate technology. The integrated flow measurement and control gate includes a water channel structure, with a control gate structure disposed inside the water channel structure. The control gate structure includes a mounting frame, and a drive device is disposed inside the mounting frame. A gate plate is movably connected to the bottom end of the drive device. A closing opening is provided inside the mounting frame, and the gate plate is located inside the closing opening. This integrated flow measurement and control gate, by setting up a control gate structure, utilizes a built-in motor in the drive device to drive a rotating shaft, which in turn drives a connecting rod at the bottom of the lifting plate to move up and down. This process allows the connecting rod to precisely adjust the height of the gate plate, thereby significantly improving the structure's ability to accurately control water flow. This design not only improves the structure's response speed but also precisely controls the position of the lifting plate.