1204 results about "Machine control" patented technology

The invention discloses a shield tunneling intelligent control method and system based on a ground-tunnel-machine-information-human adaptation level, and relates to the crossing field of underground engineering intelligent construction and information technology. Setting a first-level index and a second-level index; dividing the shield construction state into three levels of intelligent adaptation levels by combining the total score of the construction state with a dynamic threshold value; setting four targets of attitude intelligent control, settlement intelligent control, tunneling efficiency optimization and construction abnormity diagnosis; a machine learning prediction model is constructed, and the construction state parameters corresponding to the targets are predicted in real time; according to the shield intelligent adaptation level, the man-machine cooperation modes are divided into three classes of A level, B level and C level; and comparing actual data with a prediction result of the machine learning model, and dynamically correcting the control target parameters. Through real-time sensing of geological, mechanical and environmental multi-dimensional construction states and in combination with a dynamic weight distribution strategy, precise evaluation of the shield construction state is achieved, and meanwhile self-adaptive switching of the man-machine control right is achieved.

The embodiment of the invention provides a turning and milling combined machining deformation control method and system for a special-shaped part, and is used for the technical field of numerical control machining. The turning and milling combined machining deformation control method for the special-shaped part comprises the steps that structural feature analysis and process association marking are conducted on design data of the special-shaped part to generate a feature association data set, and clamping and process planning are conducted according to a machining constraint database and the feature association data set to generate initial turning and milling combined machining process data; cutting parameter multi-objective optimization solution is carried out on the initial turning-milling combined machining process data to obtain a turning-milling cutting parameter set, and multi-axis linkage analysis and instruction collaborative planning are carried out on the turning-milling cutting parameter set according to the equipment operation feature set to generate a combined machining control instruction set. According to the method, through part key feature recognition and risk marking, combined machining control instructions are generated after layered digital twinning verification in combination with process multi-objective optimization, and the one-time qualified rate of special-shaped part machining and turn-milling combined machining process stability are improved.

The invention discloses a machine control system and method based on large language model structured data output, and relates to the technical field of artificial intelligence and robot control. Voice information and image information are acquired through a multi-mode acquisition module, and based on a Gemma 3 large model, a text instruction and a coding image are combined, so that a multi-mode model is obtained; a decision output module generates a structured instruction conforming to predefined JSON Schema, the structured instruction is analyzed by an execution control module to drive a mechanical arm, a memory feedback module is utilized to store interaction data and execute feedback, dynamic switching between a dialogue mode and an action mode is supported, and the mechanical arm is controlled to operate. On the basis of large language model structured output and a multi-module cooperation mechanism, the ambiguity and unreliability of natural language control are effectively solved, and the man-machine interaction precision, the execution reliability and the complex scene adaptation intelligence level are improved.

The invention relates to the technical field of machine tool control, and provides a machine tool machining control method and system.The method comprises the steps that in the machine tool machining process, microenvironment parameters of a cutting area are obtained and monitored; obtaining a cutter type, a workpiece material attribute and a preset cutting parameter corresponding to the machine tool; based on the tool type, the workpiece material attributes and the preset cutting parameters, an initial judgment basis of the tool wear speed is established; according to the deviation between the microenvironment parameters and a preset standard value, the initial judgment basis is corrected, and the corrected tool wear speed is obtained; according to the actual tool abrasion loss, the rule for subsequently correcting the initial judgment basis is optimized; and based on the corrected tool wear speed, the tool remaining life is updated, and when tool wear reaches a preset threshold value, a compensation strategy of the cutting parameters or the tool path is decided and executed in combination with the value of the machined workpiece and the remaining machining task. The method has the effect of improving the prediction accuracy of the tool wear speed.

The invention relates to the technical field of machine control, and discloses a chemical safety inspection robot control system and method based on sensor fusion, and the system comprises a data fusion module, a strategy construction module, a strategy analysis module, a real-time monitoring module, an optimization instruction module, and an event determination module. Original data of the chemical environment is fused into standardized data, and structural features are analyzed to identify risk factors; constructing a security situation map, mapping the security situation map to the robot, and determining a control strategy; when the robot begins to inspect, analyzing the control strategy to control the movement adjustment path action and the path safety inspection action of the robot; coding the movement adjustment path action and the path safety inspection action into a safety control instruction; optimizing the safety control instruction to obtain an optimized control instruction; when the robot completes inspection, an environment safety abstract and an abnormal event record are obtained; the control accuracy of the chemical safety inspection robot can be improved.

The invention relates to the technical field of turning machining, and discloses an ultra-precision turning machining control method and system and a storage medium. The method comprises the steps that a laser contourgraph detects geometric parameters and abrasion data of a turning tool, and a tool health degree index is calculated; performing error compensation based on the health degree index to obtain a feeding control parameter; cutting force signals are collected, and technological parameters are optimized through a multi-target genetic algorithm; arranging a temperature sensor array, and adjusting cooling control according to process parameters; and generating a track control point and performing interpolation processing to obtain a motion control sequence. According to the method, the problem that the machining precision is unstable due to the fact that the cutter state cannot be quantitatively evaluated in real time in traditional turning is solved, and the precision control capability and machining quality consistency of ultra-precision turning are improved.

The invention provides a sueding machine control method and system based on tension self-adaptive adjustment, and relates to the technical field of sueding machine control, and the method comprises the steps: obtaining an actual tension value of a fabric in real time, comparing the actual tension value with a target tension value, obtaining a real-time tension deviation and a tension deviation change rate, and according to the real-time tension deviation and the tension deviation change rate, obtaining a real-time tension value of the fabric; generating a first control signal, collecting real-time rolling diameter signals of an unwinding roller and a winding roller of the sueding machine, generating a second control signal through a feedforward calculation model according to the rolling diameter signals and the current fabric linear speed, synthesizing the first control signal and the second control signal to obtain a total control signal, outputting the total control signal to a driving device, and adjusting the rotating speed of a motor. The technical problems that in the prior art, control over the sueding machine is limited in response speed, a control strategy is difficult to adjust in time, and normal operation and fabric quality of the sueding machine are affected are solved. The technical effects that the tension of the sueding machine is adjusted in a self-adaptive mode, and the operation stability of the sueding machine and the fabric quality are improved are achieved.

The invention discloses a high-precision face recognition method and system which are suitable for complex illumination and unconstrained position scenes. The method is realized through cooperation of a multi-modal acquisition guide strategy driven by a state machine and a self-adaptive fusion mechanism based on a physical multiplier array: the state machine controls logic to generate a position-attitude sequence instruction, and drives a user to synchronously provide RGB-NIR image pairs in upper, middle and lower screen areas and left and right side face attitudes; the double-flow convolutional neural network extracts an aligned bimodal feature map through shared weight constraint; the attention fusion module dynamically generates a space-channel joint attention weight based on a local signal-to-noise ratio difference through a multiplier array and a weight register realized by hardware, and performs pixel-by-pixel weighted fusion on the bimodal features. And a physical mapping relation between state machine position change and modal weight distribution is established through coupling training. According to the invention, through algorithm hardening and hardware cooperation, the accuracy and real-time performance of cross-illumination and cross-position unconstrained face recognition are significantly improved.

The invention discloses a numerical control machine tool autonomous tool setting method based on 3D visual guidance. The method comprises the following steps: firstly, acquiring three-dimensional point cloud data of a cutter and a workpiece by using a 3D visual sensor and preprocessing; then, segmenting the point clouds through a region growing algorithm, realizing the separation of the tool point clouds and the workpiece point clouds, and extracting the point clouds of each cylindrical section of the workpiece; thirdly, based on a cylinder fitting algorithm, cylinder model fitting is conducted on the segmented tool and workpiece point cloud, and geometric parameters such as the axis direction, the radius and the center coordinate are obtained; calculating a relative position relation between the tool and the workpiece according to the geometric parameters, generating a tool setting path and converting the tool setting path into an NC code; and finally, the NC code is transmitted to a grinding machine control system through a grinding machine communication module, and tool setting operation is completed. The automatic tool setting device has the advantages that the relative position relation between the workpiece and the tool can be automatically measured in the machining process, automatic and rapid tool setting is completed, and the machining quality and efficiency are guaranteed.

The invention relates to a wind power plant active wake flow control method and device based on machine-field cooperation. The method is characterized in that a field control layer and a machine control layer are cooperatively operated; calculating the real-time wind speed of each fan in the wind power plant based on a Gaussian rotation-energy conservation wake flow superposition model describing the asymmetric characteristics of the wake flow and the multi-wake flow interactive superposition of the whole wind power plant; in the field control layer control, the optimal yaw angle under different wind condition combinations is obtained by taking the maximization of the total output power of the wind power plant as a target; in the control of the machine control layer, yaw angle tracking errors and the fatigue load of a yaw bearing are considered, model prediction control is applied within a continuous time range, and the yaw angle of each fan is dynamically adjusted according to the optimal yaw angle provided by the field control layer. Compared with the prior art, the method has the advantages that the generating capacity is remarkably improved and the fatigue load is reduced in a randomly fluctuating wind field environment, and the method has remarkable applicability in a large offshore wind plant.

The invention relates to the technical field of vehicle safety, and provides a remote lane departure early warning method and system based on remote driving, and the method comprises the steps: guiding a fusion network to extract a lane line feature vector through employing a two-way decoder, and generating a vehicle state parameter set through combining with a dynamic modulation Kalman filter; a dual-mode risk quantification framework is applied, the early warning level is judged through a situation self-adaption decision, and an early warning information message is reported; performing time sequence alignment on the comprehensive control instruction set, the driver state data and the environment context data, and generating a control instruction message through optimization of an environment adaptive instruction intention filter; and the vehicle-mounted terminal calculates a man-machine control fusion weight based on the comprehensive risk and the driver state, a second comprehensive control instruction set and a safety deviation correction instruction are fused to generate a bottom layer control signal, and the remote cockpit executes graded early warning and generates a multi-mode feedback signal. According to the invention, prospective risk research and judgment and adaptive control optimization are cooperated, and a man-machine cooperative early warning and closed-loop control mechanism for remote driving is constructed.

The invention is suitable for the technical field of electric power line construction, and provides a tension machine control system based on tension feedback and a control method thereof, and the method comprises the following steps: obtaining lead parameters, working condition data and environment data of current stringing construction in real time; determining the comprehensive specific load of the wire according to the wire parameters and the environment data; updating a target tension value of the wire in real time according to the comprehensive specific load, the wire parameters, the working condition data and the environment data of the wire; according to the working condition data, the actual tension value of the current wire is determined, and the tension deviation is calculated based on the current target tension value; and based on a digital PID control algorithm, the tensioner is controlled in real time according to the tension deviation. According to the wire parameters, the working condition data and the environment data, the target tension value of the wire can be updated in real time, then the tension machine can be automatically controlled based on a digital PID control algorithm by sensing the actual tension value of the wire in real time, and high-precision control over tension is achieved.

The technology disclosed relates to using virtual attraction between hand or other control object in a three-dimensional (3D) sensory space and a virtual object in a virtual space. In particular, it relates to defining a virtual attraction zone of a hand or other control object that is tracked in a three-dimensional (3D) sensory space and generating one or more interaction forces between the control object and a virtual object in a virtual space that cause motion of the virtual object responsive to proximity of the control object to the virtual object and escalation with a virtual pinch or grasp action of the control object directed to a manipulation point of the virtual object.

The invention relates to the technical field of industrial robot control, and discloses a single-connecting-rod mechanical arm system fault-tolerant asynchronous control method based on double-variable decision, which comprises the following steps: establishing a semi-Markov jump system dynamic model for describing the operating characteristics of a single-connecting-rod mechanical arm; based on the dynamic model, designing a fault-tolerant asynchronous controller structure based on a double-variable decision and an experience-machine cooperative operation strategy; establishing sufficient conditions which enable the closed-loop system to be randomly stable and meet H infinity performance indexes; and the numerical value of the gain of the machine controller is obtained by solving the linear matrix inequality set, and a final control law is generated to conduct fault-tolerant asynchronous control on the single-connecting-rod mechanical arm. According to the fault-tolerant asynchronous control method for the mechanical arm, fault-tolerant asynchronous control of the mechanical arm is achieved through a double-variable decision and an experience-machine cooperation strategy in combination with modal transfer rate boundary processing, and the random stability and the H-infinity performance of the system are guaranteed under the modal mismatching and fault working conditions.

The invention relates to the technical field of PCIe (Peripheral Component Interconnect Express), in particular to a PCIe dynamic degradation type link resetting method and system. Comprising the following steps: S1, continuously reading the LTSSM state of a PCIe link, recording the duration of an abnormal state, and when the duration exceeds a preset threshold value, judging that timeout abnormity exists; s2, after the abnormal early warning is received, a dynamic degradation reset instruction for the NVMe controller is initiated; s3, the state machine control unit takes over the reset link initialization process and follows the physical layer priority gt; the link layer is preferentially gt; a priority strategy is simplified by a transaction layer, and a centralized resource guide link rapidly completes training and enters an L0 state. Compared with the prior art, the method has strict protocol compliance, the reset efficiency is improved, and the overall stability and performance of the system are optimized.

The invention provides a control method of fully-mechanized coal mining equipment and a coal mining machine, and relates to the technical field of coal mining machinery control. The control method of the fully-mechanized coal mining equipment is applied to a coal mining machine and comprises the following steps: acquiring running state information of the coal mining machine; according to the operation state information of the coal mining machine, a target hydraulic support to be cooperatively controlled is determined from multiple hydraulic supports, and the multiple hydraulic supports and the coal mining machine are located on the same working face; based on the transmission channel between the coal mining machine and the target hydraulic support, first information is sent to the target hydraulic support, and the first information is used for the target hydraulic support to determine cooperative action. According to the technical scheme, the cooperative efficiency between the coal mining machine and the hydraulic support can be improved, and then the mining efficiency is improved.

The invention provides a method and a system for suppressing low-frequency oscillation of a network-forming converter under a weak power grid, and the method comprises the steps: obtaining a power grid short-circuit ratio through employing a preset dual-mode identification strategy, adaptively adjusting the control parameters of the network-forming converter through a preset parameter mapping relation, carrying out the stability sufficiency verification of the adjusted control parameters, and obtaining the low-frequency oscillation of the network-forming converter under the weak power grid. After verification is passed, the adjusted control parameters are applied to a virtual synchronous machine control algorithm to execute grid-connected control, low-frequency oscillation characteristics are extracted from monitored grid-connected point frequency signals, and an enhanced suppression mechanism is triggered after the low-frequency oscillation characteristics exceed a threshold value; real-time sensing of power grid intensity, multi-parameter collaborative adaptive adjustment, active monitoring and rapid suppression of low-frequency oscillation and continuous self-learning optimization are realized, stability adequacy check is realized, and the problem of low-frequency oscillation of a grid-forming converter under a weak power grid is effectively solved.

The invention relates to the technical field of trajectory control, in particular to a multi-modal motion trajectory real-time tracking method and system for machine control, which performs weight redistribution through channel noise variance and amplitude difference, performs weighted stacking and continuous updating in combination with Kalman filtering, reduces state estimation variance and channel bias transfer, and improves the tracking accuracy of a multi-modal motion trajectory. Time consistency and amplitude consistency of fusion track state data are improved, an overshoot peak value is inhibited, a deviation attenuation process is shortened, abnormal samples in a deviation sequence are rejected through an isolated forest, interference of outliers on parameter updating is reduced, and speed difference and acceleration difference are compared for a correction control sequence, so that the accuracy of correction control is improved. The boundary detection rate and the determinacy of the stage number are improved, the energy change rate is screened through the speed difference and the curvature value of the adjacent stages, the transfer relation is determined, the time sequence coherence and the geometric continuity of stage switching are kept, and the time sequence stability and the stage connection coherence of the control instruction are kept in the multi-degree-of-freedom space.

The invention relates to the field of UHPC stirring machine control, in particular to a constant-power automatic speed regulation control system and method for UHPC stirring, the operation process of a UHPC stirring machine is divided into a plurality of process stages, each stage corresponds to different frequencies, rotating speeds and operation time, accurate control over the rotating speeds is achieved, and on the premise that the power is constant, the speed regulation speed of the UHPC stirring machine can be accurately controlled. The rotating speed is flexibly adjusted to meet the requirements of different stirring stages of UHPC, the mixing quality is guaranteed, efficient utilization of energy is achieved, a constant-speed stirring machine is changed into a variable-speed intelligent stirring machine through multi-section speed control of the frequency converter, energy is saved by 30% or above, and the quality and productivity of UHPC products are remarkably improved through process-level rotating speed matching.

A method of controlling a work machine is a method of controlling the work machine provided with a machine body that moves according to an operation device operation and that is capable of changing an operation pattern which is a correspondence between the operation device operation and the machine body movement. The control method has presenting the operation pattern information, which shows the current operation pattern, at the time of switching from a state in which the machine body fails to move according to the operation device operation to a state in which the machine body moves according to the operation device operation.

A work machine control system is provided with an acquisition process unit and a limit process unit. The acquisition process unit acquires a detection result of an object around a machine body of a work machine in a state incapable of operating the work machine. The limit process unit creates a limit state capable of limitedly operating the work machine, when the detection result meets a predetermined condition and then a gate lock lever is so operated as to create a state capable of operating the work machine.

The invention discloses an operation machine safe operation control method and device based on a three-dimensional electronic fence, and belongs to the technical field of operation machine control. The method comprises the steps of setting a three-dimensional electronic fence based on an actual working environment of a working area; acquiring a first dynamic parameter of the working machine, wherein the first dynamic parameter comprises first three-dimensional position data and first attitude data when the working machine works; calculating a key point coordinate on the operation machine according to the first dynamic parameter; calculating the minimum boundary distance between the key point and the three-dimensional electronic fence according to the coordinates of the key point; and determining and executing a safety control measure according to the minimum boundary distance. According to the method, the relative position relation between the key point of the operation machine and the three-dimensional electronic fence can be accurately determined when the position of the operation machine changes, manual recalibration and confirmation are not needed, dynamic position self-adaption of the operation machine is achieved, misoperation or collision accidents are avoided, and construction safety is remarkably improved.

A control system includes: a time master configured to periodically transmit synchronization signals for time synchronization via a network; and circuitry connected to the time master via the network, wherein the circuitry includes a local clock and is configured to: periodically determine, for every two or more receptions of the synchronization signal via the network, a communication timing so that a frequency of the communication timing is reduced from a transmission frequency of the synchronization signal; periodically perform, in accordance with the communication timing periodically determined with the reduced frequency, data exchange with the time master including transmission of a response signal to the synchronization signal; acquire an offset of the local clock with respect to the time master based on a result of the data exchange; correct the local clock in accordance with the offset; and control a machine based on the corrected local clock.

The invention discloses a tire pattern block double-process precision machining device in the technical field of machine vision. The tire pattern block double-process precision machining device comprises a robot. The visual control system comprises an industrial personal computer and visual upper computer software; the binocular camera is mounted on the fixed bracket and is used for realizing high-precision reconstruction of the curved surface of the pattern block and high-precision positioning of a back hole; the light source assembly comprises a customized arc-shaped light source, a customized support and a light source controller, and the light source assembly comprises a customized arc-shaped curved surface light source which is installed at the top of the support and used for lighting and installed on the side face of the support and used for supplementing light; the rotary workbench comprises a circular rotary platform driven by a motor and a pattern block clamping mechanism; the rotary workbench is used for rotating the tire pattern blocks placed at the designated positions; the machining device comprises an electric spindle and a controller of the electric spindle. The operation table comprises a customized electric cabinet and a touch screen mounted on the surface of the electric cabinet; the tool setting device is mounted on the outer side of the rotary table and used for compensating tool changing errors; according to the method, the limitation on the precision machining effect caused by insufficient consistency of binocular vision in depth estimation is overcome, the pattern block chamfering and milling groove machining task with the precision requirement being 0.2 mm or above is finally completed, and meanwhile, the consistency of the machining quality of the tire pattern block back hole is guaranteed.

The invention relates to the technical field of process control, in particular to an injection molding process optimization method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining stress signals of four tie bars of an injection molding machine, calculating a total mold locking force, and preprocessing the stress signals through temperature compensation and moving average filtering; real-time mold cavity pressure is calculated based on a mold filling stage linear model, a pressure maintaining stage quadratic function model and a cooling stage exponential attenuation model triggered by an injection molding machine control signal; generating a standard curve template with a confidence interval according to the characteristic parameters of the qualified sample, and dynamically updating the standard curve template; and comparing the current pressure curve with a standard template output quality judgment result in real time, and triggering automatic parameter adjustment to form closed-loop control. The device and the method have the effect of solving the problems of high cost, poor compatibility and difficulty in maintenance when the pressure of the die cavity is directly measured.

The invention relates to the technical field of tobacco processing, and particularly discloses a control system and a control method for a turnover feeding machine. The system comprises a conveyor, a feeding machine and a box turning machine, the conveyor is used for driving the smoke box to move to or out of the material taking position; the feeding machine is provided with a bottom belt which selectively drives materials to move in the working direction, the materials are made to move from the input end of the feeding machine to the output end of the feeding machine, and three feeding bin detection units are arranged on the feeding machine and are defined as a cabinet head grating detection piece, a cabinet middle grating detection piece and a cabinet tail grating detection piece which are used for monitoring the input end, the middle and the output end of the feeding machine respectively. The feeding bin detection unit comprises a correlation type grating, wherein the plane where the correlation type grating is located is perpendicular to the working direction. The box turning machine is used for moving materials from the interior of the smoke box to the input end of the feeding machine, the box turning machine can rotate relative to the feeding machine and pass through the turning-back position, and the box turning machine located at the turning-back position selectively fixes the smoke box. According to the system, the specific structure is optimally designed, so that the detection efficiency and accuracy of the feeding machine are improved.

To suppress deterioration of workability of a working machine.SOLUTION: The control system of the work machine includes a computer. The computer acquires a pre-correction command, corrects the pre-correction command such that a constraint condition for maintaining stability of the work machine is satisfied and a deviation from the pre-correction command is reduced, and outputs a post-correction command for operating the work machine.SELECTED DRAWING: Figure 4

The invention discloses an end face tool sharpener control system, and relates to the technical field of numerical control systems. The end face tool sharpener control system comprises a data preparation and recording module, a tool type parameter dynamic modeling module, a multi-axis linkage control module, a grinding wheel pressure self-adaption control module, a grinding wheel abrasion compensation module and a technological parameter optimization module. By comprehensively collecting multi-dimensional historical processing data and constructing a set framework, automatic classified storage of parameters is realized; the NURBS curve interpolation algorithm is adopted, and the machining precision and smoothness of the complex shape are guaranteed; instructions are synchronized in real time, errors are compensated, vibration is monitored in combination with an acoustic emission sensor, and machining stability is improved; a fuzzy PID model and machine learning are utilized to dynamically adjust parameters and optimize the parameters in advance; through machine vision and digital twinning, abrasion is accurately recognized, and the finishing period is predicted. And based on the hybrid model and reinforcement learning, predicting a processing result, dynamically adjusting parameters, and performing error compensation and sensitivity analysis.

A plurality of detection points is identified from a collection of subterranean scan data collected using a sensor on a mobile work machine. A predicted utility segment is generated based on a pattern reflected from the plurality of detection points. The predicted utility segment is incorporated into a subterranean feature model. A component of the mobile work machine is controlled, using the subterranean feature model, to perform an operation.

The invention provides a virtual synchronization mechanism network type control method, system and device based on flux linkage synchronization control and a medium, and the method comprises the steps: obtaining a three-phase AC voltage reference value based on the grid-connected point output data of a network type inverter through employing a virtual synchronization machine control strategy; based on the three-phase alternating current flux linkage measurement value, synchronous feedback correction is carried out on the three-phase alternating current voltage reference value, a PWM modulation input signal is obtained, and a trigger pulse is generated to carry out synchronous control on the network-forming inverter; according to the method, a virtual synchronous machine control strategy is combined with flux linkage synchronous control, and a three-phase alternating-current voltage reference value is subjected to synchronous feedback correction by utilizing a three-phase alternating-current flux linkage measurement value before PWM (Pulse-Width Modulation) modulation, so that synchronous control is performed on the grid-forming type inverter, the deceleration area of a transient power angle curve of the grid-forming type inverter can be increased, and the stability of the grid-forming type inverter is improved. Therefore, the limit clearing time of the grid-forming inverter is prolonged, and the transient stability and the large disturbance fault resistance of the grid-type inverter of the virtual synchronization mechanism are improved.