905results about How to "Improve controllability" patented technology

The invention discloses a data analysis method and system based on a large model. The method comprises the steps that natural language query of a user is received; performing semantic coding and intention analysis on the natural language query based on a pre-trained large language model; based on metadata retrieval of vector similarity, obtaining metadata related to natural language query semantics from a vector database; generating corresponding structured query parameters through the large language model in combination with the obtained metadata and the natural language query; according to the structured query parameter, generating an executable structured query language statement; and executing the structured query language statement to obtain a data query result. According to the method, the problems of insufficient semantic comprehension ability, low metadata retrieval precision and poor query generation controllability in the prior art are solved.

The invention discloses a permanent magnet synchronous motor sensorless control method based on a dynamic position error. A transition stage is provided, per-unit estimation position errors between a first position error signal obtained based on a high-frequency signal injection method and a second position error signal obtained based on a sliding mode observer are compared, an optimal switching speed point is dynamically determined, smooth fusion is carried out on the two position errors by using a nonlinear weighting function, and the optimal switching speed point is obtained. And finally, the estimated position and rotating speed are obtained through a phase-locked loop. And finally, position tracking is carried out by adopting different error signals according to the estimated rotating speed. According to the method, the problem of estimation value pulsation and jump caused by the fact that a traditional method depends on fixed experience switching points is solved, smooth and self-adaptive switching of the two estimation methods in the full-speed domain range is achieved, the control precision and operation stability of the system are remarkably improved, the structure is simple, and engineering implementation is easy.

The invention discloses an electric energy metering error evaluation method and system for a direct current charging pile, equipment and a medium, and the method comprises the steps: constructing an electric energy disturbance response function based on transient voltage and transient current, and effectively quantifying the transient metering deviation caused by measurement lag, voltage drop, current peak and other factors in the actual operation of the direct current charging pile. Error reconstruction modeling has higher dynamic adaptive capacity and physical rationality, the limitation that in the prior art, the influence of the high-variable-load working condition on metering cannot be reflected is broken through, and the accuracy and timeliness of direct-current charging pile error monitoring are greatly improved. Besides, a standard error is introduced to carry out fitting calibration on a reconstruction error and carry out energy conservation verification, thereby realizing verifiability on a physical level and controllability in engineering implementation, enhancing credibility and authority of an evaluation result, constructing a closed-loop analysis mechanism from error evaluation to metering correction and then to conservation verification, and improving reliability and reliability of the evaluation result. And the closeness and the adaptive capability of the overall error evaluation are improved.

The invention provides an infrared physiotherapy cabin system and method based on animal and environment cooperative regulation and control, and relates to the field of animal physiotherapy and intelligent monitoring control. Comprising an animal state and cabin environment monitoring module, an infrared physiotherapy and cabin environment regulation and control module, an animal health assessment and curative effect assessment module, a personalized treatment and intelligent decision module and a man-machine interaction and safety supervision module. A credibility result is formed through multi-modal data synchronous alignment and data quality evaluation, health state characterization is constructed under credibility gating, a risk level is output, and infrared physiotherapy control parameters and cabin environment regulation and control parameters are generated through cooperative control under the constraint of a stage control boundary and a treatment target and are issued and executed. Continuously adjustable parameters are subjected to online fine adjustment in the physiotherapy process, and rollback and interlocking protection is executed when the risk is increased or the credibility is reduced; after the period is finished, the curative effect is evaluated, data recording and tracing archiving are completed, and collaborative closed-loop infrared physiotherapy regulation and control of the animal state and the in-cabin environment are achieved.

The invention belongs to the technical field of industrial process control, and discloses an internet-of-vehicles cooperative vehicle fleet mixed triggering formation control method under network limitation, which comprises the following steps: constructing a longitudinal dynamic model and a formation topological structure of cooperative vehicles to describe a relative relationship between the vehicles, establishing an environment limitation model, and constructing a formation model; the nonlinear state of the cooperative vehicle is observed and estimated through the mixed trigger communication condition; a hybrid triggering mechanism is constructed by using a network quality of service QoS mapping function and a self-adaptive threshold value, so that the problem of complexity explosion caused by error derivation is avoided; and finally, constructing a consistency controller model of the collaborative vehicles, and realizing stable tracking and formation collaboration of the motorcade in a dynamic network environment. According to the invention, the vehicle can still keep efficient and smooth communication and control under the conditions of bandwidth limitation, delay change or data packet loss and the like, the network utilization rate is improved, and stable control of a motorcade is realized under various communication topologies.

The invention discloses an aero-engine vibration signal generation method under extreme imbalance, and belongs to the technical field of aero-engine fault signal generation. The method comprises the following steps: acquiring an original vibration signal at a target position of the aero-engine, and performing preprocessing operation; taking the preprocessed real vibration signal as a training sample, constructing a forward noise adding process, and training the improved one-dimensional diffusion generation network to learn a reverse denoising mapping relation; and inputting random Gaussian noise into the one-dimensional diffusion generation network after training convergence, and generating a target vibration signal matched with a real vibration signal feature through a reverse diffusion denoising process. Through targeted improvement of the diffusion generation network, the problem of data imbalance is effectively relieved, the model deployment cost is reduced, the signal generation capability of the model for minority types of faults is improved, and the method is suitable for fault signal generation scenes of aero-engines under complex working conditions.

The invention relates to a generative artificial intelligence context management technology, and discloses a knowledge tree-based structured memory system and method, a computer readable storage medium and electronic equipment. According to the system, structured memory with a father-son relationship is stored through a knowledge tree, a retrieval strategy is determined according to current input, related nodes or branches are recalled, and a memory context is generated for a model to call after deduplication, truncation, pruning, hierarchical summarization and priority retention processing are carried out under context budget constraint; and meanwhile, node addition, deletion, modification and combination, conflict marking, version management and cutting control are supported, so that the accuracy, consistency and long-term task stability of generated contents are improved. The knowledge tree construction module is used for acquiring external information and executing node generation, updating, deletion and branch maintenance, and can write back a knowledge tree after output; when conflicts exist, version management is executed, and cutting is carried out according to correlation, credibility, redundancy and the like.

The utility model discloses an impeller slope hole processing jig, which relates to the field of impeller processing, and comprises an impeller, a support seat, an impeller positioning shaft, a balance hole drill jig and an opening pressure plate, the impeller is sleeved at one end of the impeller positioning shaft through a hub, and the other end of the impeller positioning shaft is matched and positioned with the support seat; the balance hole drill jig is arranged on the hub in a sleeving mode and pressed through the open pressing plate, and then the open pressing plate and the supporting base are locked and fixed through the locking bolt. The lower surface of the balance hole drilling jig and a cover plate inclined face on the impeller rear cover plate are attached and positioned, a guide hole is formed in the balance hole drilling jig in the axial direction of the impeller in a penetrating mode, and a machining hole is drilled in the corresponding position of the cover plate inclined face through the guide hole. The mode that a balance hole in the inclined face of the impeller is drilled through manual visual positioning operation is omitted, and operation difficulty and labor intensity are reduced; the machining and positioning mode of the balance hole in the inclined face of the impeller is changed, and controllability and quality consistency of hole position precision of the balance hole are improved.

The invention discloses a large-scale wind turbine generator power load cooperative fault-tolerant control method. The method comprises the following steps: establishing a unit load and rotating speed control model considering a variable pitch actuator fault; according to the load and rotating speed control model, a fault-tolerant independent variable-pitch controller composed of a centralized variable-pitch ring, an independent variable-pitch ring and a fault-tolerant compensation ring is constructed for the three-blade variable-pitch actuator; and the fault-tolerant independent variable pitch controller inputs variable pitch given instructions corresponding to the blades to the corresponding variable pitch actuators, and the variable pitch actuators implement fault-tolerant variable pitch with the variable pitch given instructions as reference, so that power and load cooperative control under the fault working condition is achieved. According to the method, the optimization effect and the application capability boundary of pneumatic unbalanced load suppression of the wind wheel of the unit can be improved under the combined action condition of multi-source disturbance and variable-pitch actuator faults, meanwhile, the high stability of power output is guaranteed, and high-performance power-load cooperative control is achieved.

The invention discloses an adaptive control method for a large language model, and the method comprises the steps: carrying out the multi-modal feature extraction based on an input business dialogue, so as to obtain a multi-dimensional dialogue state feature; the multi-dimensional dialogue state features are input into a multi-layer perceptron, the multi-layer perceptron serves as a fusion network to output a control gain matrix, and the control gain matrix comprises a gain weight corresponding to each dimension dialogue state feature; based on the value of each gain weight element of the control gain matrix, strategy mapping is carried out through a hierarchical mapping table, and each gain weight element is mapped into a corresponding natural language control instruction; injecting a natural language control instruction into the structured cue word template, and constructing an enhanced cue word; and sending the enhanced cue word to the large language model, and outputting a reply to the business dialogue through the large language model. According to the method, quantitative adjustment and self-adaptive control of the large language model generation reply can be realized, and the accuracy, controllability and adaptability of dialogue response in a vertical business scene are improved.

The present application relates to the technical field of tool positioning, and discloses a tool positioning management and control system and early warning method based on RFID and video fusion, which comprises the following steps: establishing an association mapping of RFID tag unique code and tool unique identification and constructing a tool information file; configuring an electronic fence based on a management and control area space model, collecting RFID tag signals to perform area attribution inference, generating an RFID side position state and performing first stage state determination; obtaining a monitoring video stream that is spatially registered with the electronic fence space range, performing tool target detection, tool category confirmation and cross-frame target tracking on the video picture to obtain a video side tool existence state; and fusing the RFID side position state and the video side tool existence state to perform second stage determination, and starting a hierarchical early warning strategy to output alarm information according to the determination. The present application reduces the false judgment and missed judgment caused by single sensing.

This invention provides a copper flotation control method, apparatus, equipment, and medium based on the degree of foam mineralization. The method includes: acquiring target foam characteristic information for copper flotation; constructing a foam mineralization degree model based on the target foam characteristic information; calculating the degree of foam mineralization using the target foam characteristic information through the foam mineralization degree model; establishing a parameter database for the copper flotation process; determining the target operating state of the copper flotation process using the parameter database and the degree of foam mineralization through a prior probability method; determining the target control function for the copper flotation process based on the target operating state; determining the control target based on the target control function; determining the prior control decision for the copper flotation process based on the control target and the prior probability; and adjusting the prior control decision through a preset state feedback model to obtain the next control decision. This invention can realize intelligent monitoring of the flotation foam mineralization state and optimized control of production operations, improving the stability of concentrate grade and the comprehensive metal recovery rate.

The application relates to the technical field of active recommendation, and discloses an active recommendation method and system based on a large language model and multi-agent cooperation. The method comprises the following steps: analyzing user historical interaction records through an image analysis agent to generate and maintain a preference set of the user; generating a recommendation sub-target sequence based on the preference set of the user and a target item through a strategy planning agent; generating an ideal item abstract description according to a current recommendation sub-target through an item selection agent, searching a candidate item set by using a vector database, and selecting a recommended item set based on a large language model evaluation; and scheduling the image analysis agent, the strategy planning agent and the item selection agent in the form of a state machine through a process management agent to execute a cycle of recommendation-feedback-decision-reflection, so as to plan a migration path of user interest from a current state to the target item. The application has stronger adaptability because the recommendation sub-target and content are dynamically adjusted according to the preference of the user.

The utility model relates to the technical field of knotter, and disclose a fishing line knotter, including knotting pole, the knotting pole integrated moulding is composed of main rod and the side rod department of being formed in the both ends of main rod and being foldable, the end of side rod department has the end; The middle part of main rod is annular and has middle part wire slot; The end part wire slot is annular and set up on the end. This fishing line knotter, through setting up annular middle part wire slot in the middle part of main rod, and setting up annular end part wire slot in both ends end, make carbon line and PE line can be respectively in different position stable winding, and then facilitate to realize compact structure, the operation simple supplementary knotting function of easy operation.

A simulation method and related equipment for machining process training are disclosed. The method includes: acquiring engineering data and process data of the target workpiece; extracting features from the engineering data and combining them with the process data to construct a case resource library; performing semantic association analysis between the pre-set knowledge resource library and the machining cases in the case resource library to generate a process knowledge network; constructing a virtual training environment based on the process knowledge network; collecting interaction data of learners in the virtual training environment and evaluating the interaction data to obtain evaluation results; and generating guidance animations based on the evaluation results and the process knowledge network. This application can improve the learning efficiency of simulation training.

This invention relates to the field of data processing and discloses an intelligent cleaning method for multi-source heterogeneous big data. The method includes: collecting structured, semi-structured, and unstructured data from multiple source systems and parsing them to obtain raw data units; performing standard concept mapping on the raw data units and writing source identifiers, extraction method identifiers, collection time identifiers, upstream task identifiers, and derived link identifiers to generate data units with lineage identifiers; forming candidate association clusters based on stability identifiers, contextual features, and temporal adjacency relationships; constructing a conflict evidence graph within the candidate association clusters and determining edge weights by combining source credibility, time freshness, lineage propagation depth, and source drift coefficient; locating conflict-connected subgraphs and determining the minimum repair boundary by combining the data lineage graph; generating multiple candidate repair strategies and arbitrating them.

A method for preparing a capacitive deionization anode for phosphate adsorption and desorption, and its application, belong to the field of inorganic phosphorus wastewater adsorption and enrichment. This invention aims to solve the problems of existing adsorption materials, such as low phosphate adsorption capacity, difficulty in reusing the adsorbent, or poor conductivity. Method: 1. Preparation of a PEDOT / YMOF-NH2 composite material; 2. Preparation of a capacitive deionization anode. Application: It is used for the adsorption and desorption of phosphates in phosphate-containing water. This invention is used for the preparation of a capacitive deionization anode for phosphate adsorption and desorption.

The application discloses a kind of no-load tap changer switching device and control method thereof, including main controller, gear control module and gear verification module;Gear control module according to the instruction issued by receiving main controller, no-load tap changer is carried out gear shifting action, and feedback gear shifting execution state;Gear verification module according to the instruction issued by receiving main controller, complete the verification of electricity and discharge work before gear shifting operation;After gear shifting is completed, the gear state is verified;The application automatically completes the whole process operation of verification of electricity, discharge, gear shifting execution and gear shifting verification etc., and realizes no-load tap changer gear shifting operation automation.Compared with the traditional manual field gear shifting mode, operation process can be significantly simplified, power outage operation time is shortened, gear shifting controllability and reliability are improved, and manual operation and maintenance cost is reduced.

This invention relates to the field of zinc alloy surface modification technology, and particularly to a corrosion-resistant medical zinc alloy, its preparation method, and its applications. The preparation method includes the following steps: weighing raw materials according to the chemical composition of the zinc alloy; cleaning the surface of the raw materials; smelting, refining, and casting to obtain an ingot; subjecting the ingot to equal-channel angular extrusion deformation to obtain an extruded zinc alloy; performing high-energy ion implantation on the zinc alloy to obtain a nitrogen-ion-implanted zinc alloy; and preparing a coating on the surface of the nitrogen-ion-implanted zinc alloy to obtain the final product. This invention achieves a high-adhesion, dense, and uniform deposition effect on the alloy surface through the synergistic control of "equal-channel angular extrusion + high-energy nitrogen ion implantation + biomimetic coating deposition," solving the problem of severe galvanic corrosion at localized sites in existing zinc alloys under corrosive environments. Simultaneously, the dense deposition layer helps inhibit rapid dissolution of the zinc alloy surface, significantly reducing the corrosion rate of the zinc alloy in corrosive environments.

According to the variable-flow IGBT evaporative cooling system and the control method provided by the invention, dryness online calculation and closed-loop control based on pressure and density signals are introduced into the IGBT evaporative cooling system, so that accurate sensing and active regulation and control of a phase change state of a cooling medium are realized; therefore, it is ensured that the IGBT module is always in a gas-liquid mixing environment with the optimal heat exchange efficiency, the efficient heat dissipation capacity of phase change latent heat is fully utilized, local overheating or temperature fluctuation caused by excessive evaporation or insufficient liquid phase is avoided, the heat dissipation uniformity, stability and energy efficiency are fundamentally improved, and the heat dissipation efficiency is improved. The self-adaptive capacity of the system to different load working conditions is enhanced, and the guarantee is provided for long-term reliable operation and service life prolonging of the IGBT module through direct control over the key state quantity of dryness.

This utility model discloses a cement-aggregate mixture processing equipment, relating to the field of cement mixing. It includes a storage cart, a mixing tank mounted in the middle of the storage cart, a motor mounted on the upper end of the mixing tank, a stirring shaft mounted on the lower end of the motor, a water inlet at the upper end of the mixing tank, and a limiting rod hole in the middle of the mixing tank, with a top rod spring installed inside the limiting rod hole. This utility model, through the configuration of a storage cart, mixing tank, connecting shaft, guide sealing bottom plate, connecting plate control shaft, crank handle, and connecting cart base shaft plate, allows the crank handle to rotate on the connecting cart base shaft plate, rotating and displacing one end of the guide sealing bottom plate downwards via the connecting plate control shaft on the crank handle. This opens the bottom opening of the storage cart, and the guide sealing bottom plate carries and discharges the mixture for laying. The size of the opening of the guide sealing bottom plate on the connecting shaft is controlled by the rotation of the crank handle, improving the controllability of the material conveying speed.

The invention belongs to the technical field of solid electrolyte materials, and particularly relates to a garnet type solid electrolyte and a preparation method and application thereof. The D50 of the garnet type solid electrolyte is less than 300nm, and the specific surface area of the garnet type solid electrolyte is 2-30m < 2 > / g. The garnet type solid electrolyte has the beneficial effects that the garnet type solid electrolyte has irregular spherical morphology, good particle dispersity, uniform granularity and relatively small particle size, and has a wide application prospect, especially in the field of lithium ion solid-state battery manufacturing; the preparation method of the garnet type solid electrolyte is high in controllability, simple and convenient to operate and low in manufacturing cost, and the whole preparation reaction process is carried out under low-temperature and normal-pressure conditions, so that the preparation method is energy-saving and environment-friendly.

This invention discloses a data processing method and system for government services, relating to the field of data transmission technology. The method includes: obtaining jitter-related USB events from USB events of a government self-service terminal; obtaining jitter-related government business events from government business events of the government self-service terminal based on the jitter-related USB events; obtaining a disturbance chain based on the jitter-related USB events and the jitter-related government business events, and determining the identifier of the disturbance chain; defining a target disturbance chain based on the identifier of the disturbance chain, and obtaining a disturbance chain pointing label; classifying all government data units according to the disturbance chain pointing label to obtain disturbance-related government data units and secure government data units. This invention improves the reliability and controllability of the government data processing process.

The invention discloses a coronary intervention guide wire fixing patch and a using method thereof, and relates to the technical field of medical instruments.The coronary intervention guide wire fixing patch comprises a patch body, a bonding layer is arranged on the bottom face of the patch body, at least two clamping grooves used for clamping the tail end of a guide wire are formed in the top face of the patch body, and a plurality of protruding blocks are integrally formed on the top face of the patch body; each clamping groove is of a penetrating type groove structure formed in the top of the corresponding protruding block, the width of an opening of each clamping groove is smaller than the outer diameter of a guide wire, and the number of the protruding blocks is generally four and the protruding blocks are arranged at intervals in the length direction of the patch body. The patch body and the protruding blocks are made of medical plastic in an integrated mode, and the adhesive layer is further covered with a stripping protection layer. The device is simple in structure, small in size and capable of achieving rapid, single-hand and reliable fixing and releasing of the tail end of the guide wire on the premise that extra table top space is not occupied, so that the operation process is effectively simplified, and winding and disengaging of the guide wire are prevented.

The invention relates to the technical field of medical rehabilitation instruments, and discloses an exoskeleton robot for fracture auxiliary rehabilitation. The robot comprises a shear deformation sensing assembly, a shape memory alloy locking assembly and a joint driving module. The shear deformation sensing assembly comprises a fixed shell, a flexible liner arranged on the inner side of the shell and a sensing beam connected between the shell and the liner. The shape memory alloy locking assembly comprises a locking pin arranged in the connecting rod structure, a shape memory alloy driving piece in linkage with the locking pin and a locking part located on the connecting rod structure and corresponding to the locking pin in position. And the strain gauge is electrically connected with the shape memory alloy driving piece. Transverse micro-slippage representing shearing risks is directly sensed through a mechanical structure, rigid mechanical locking is triggered in a linkage mode, and therefore rapid and reliable physical protection is provided for a fracture part, and secondary injury in rehabilitation training is effectively prevented.

A method and device for evaluating the influence effect of an academic recommendation algorithm based on a social robot, the method comprising: collecting academic papers, citation relationships and author information through a data interface or a web crawler, and screening target personnel data according to a research field; constructing a virtual social robot and establishing a research interest vector of the virtual social robot based on historical literature and research theme information of the target personnel; presetting multiple literature acquisition strategies for the social robot to form differentiated experimental conditions; controlling the social robot to perform operations such as paper retrieval, access and click recommendation on an academic platform, and recording literature access paths, recommendation results and browsing sequence data in real time; calculating the research theme distribution of the social robot according to a literature set contacted in the experiment, and comparing the research theme distribution with the initial research interest, so as to obtain the change degree of the research direction; and comparing the change results of the research direction of the social robot under different strategies, and quantitatively evaluating the influence degree of the recommendation system on the research direction evolution of the scientific researchers.

This utility model discloses an adjustable speed pusher with fault detection function, including a speed regulator. One end of the speed regulator is provided with a sealing gasket, and the other side of the sealing gasket is provided with a junction box. A composite connector electrically connected to the speed regulator is installed at one end of the junction box. The other end of the speed regulator is electrically connected to a permanent magnet synchronous motor. This adjustable speed pusher with fault detection function utilizes a PWM variable frequency speed control box driven by a permanent magnet synchronous motor. It can adjust the pusher speed in real time according to external commands, offering high flexibility and good controllability to meet the different pusher speed requirements of various processes. It also provides better energy-saving effects. Furthermore, this utility model can monitor its own circuit and vibration frequency information in real time and feed it back to the operator's control terminal for timely fault detection and troubleshooting, ensuring smooth production.

The invention discloses a robot safety communication method and device and a storage medium. The method comprises the following steps: acquiring an equipment identity credential from a hardware security environment of a robot, and establishing a security channel with a cloud service based on the equipment identity credential; obtaining an access token with a validity period from the cloud service through the secure channel; under the condition that the secure channel receives the control instruction from the cloud service, the control instruction is set in a temporary storage state; an execution authorization request for the control instruction is initiated to the cloud service, and the execution authorization request carries the access token; receiving a response to the execution authorization request from the cloud service; and under the condition that the response is authorization, the control instruction in the temporary storage state is sent to an execution mechanism of the robot to be executed.

The application provides a cross-operator eSIM profile migration method and system, comprising: receiving a profile migration request sent by a user terminal; verifying the profile migration request based on a smart contract, and sending a release notification to a source operator node after verification; receiving release confirmation information and data addressing credentials returned by the source operator node; sending a download notification carrying the data addressing credentials to a target operator node, so that the target operator node downloads and decrypts encrypted configuration data based on the data addressing credentials; receiving reception confirmation information returned by the target operator node, and updating the ownership state of the target profile. The method can reduce the dependence on centralized servers by uniformly processing the profile migration process based on the smart contract by the migration management module, thereby improving the collaborative credibility and state update reliability of cross-operator migration, and further reducing the risk of single point failure, data tampering and difficult traceability of migration history.

The invention relates to a high-sensitivity MEMS flow sensor and a manufacturing method thereof.The high-sensitivity MEMS flow sensor comprises a sensor chip, a metal base and a measuring runner, the sensor chip comprises a substrate, and a porous silicon area is formed in the substrate; the first dielectric layer is formed on the substrate and the upper surface of the porous silicon region; the heating resistor array is formed on the upper surface of the first dielectric layer and is positioned right above the porous silicon region; the thermopile array is formed on the upper surface of the first dielectric layer and located over the porous silicon area, and the thermopile array and the heating resistor array are alternately arranged in the direction of the gas flow channel; the electric isolation layer covers the heating resistor array and the thermopile array; the metal interconnection structure is formed on the upper surface of the electric isolation layer and is connected with the thermopile array; the electrode is connected with the metal interconnection structure; and the second dielectric layer covers the electrical isolation layer and the metal interconnection structure. A multi-pair symmetrical distribution structure in which the thermopiles and the heaters are alternately arranged is adopted, so that the measurement sensitivity of the flowmeter is remarkably improved.