82 results about "Parameter control" patented technology

This application discloses an optimization control method, apparatus, equipment, and medium for an iron and steel smelting system, relating to the technical field of iron and steel smelting systems. The method includes: determining target control parameters for each subsystem based on material parameters and target optimization parameters; adjusting the target control parameters based on the global energy parameters of the iron and steel smelting system and the weight information of each subsystem in the smelting process to generate actual control parameters for each subsystem; and controlling the operation of each subsystem based on the actual control parameters. This optimization control method can control the operation of each subsystem of the iron and steel smelting system from the perspective of global energy parameters and the importance of each subsystem, avoiding the impact of optimizing a single link on the overall optimization effect of the smelting process, and improving the overall optimization effect of the iron and steel smelting system operation.

This invention provides a method and system for controlling the polishing pressure of a thermos cup, relating to the field of cup polishing control technology. The method includes the following steps: determining whether the polishing wheel encounters a localized hard spot in the weld area based on torque data and material removal rate; when the polishing wheel encounters a localized hard spot, dynamically adjusting the processing parameters according to a preset parameter adjustment priority, and controlling the polishing tool to process the cup according to the adjusted processing parameters; and recalculating the material removal rate after each adjustment of the processing parameters until the material removal rate reaches a preset target value. This invention aims to solve the technical problems in existing thermos cup polishing technology, such as uneven polishing due to localized hard spots in the weld area, difficulty in controlling the material removal rate, and the risk of workpiece damage from directly increasing polishing pressure, significantly improving polishing quality and product yield.

This invention provides a boiler energy-saving operation method based on intelligent algorithms. Addressing the pain points of traditional boilers that rely on manual experience for adjustment and struggle to adapt to dynamic operating conditions, it constructs a collaborative mechanism encompassing data perception, intelligent prediction, multi-objective optimization, and closed-loop control. Boiler operating parameters are collected by multi-dimensional sensors, pre-processed, and input into an LSTM-GBDT hybrid model to achieve high-precision thermal efficiency prediction. The DDPG reinforcement learning algorithm is then used to solve for the globally optimal operating parameters under safety and process constraints. Finally, closed-loop dynamic adjustment is achieved through a DCS system. This method overcomes the limitations of manual experience, transforming from single-parameter control to full-process collaborative optimization. It can adapt to load fluctuations and fuel quality changes, effectively improving boiler thermal efficiency and reducing fuel consumption while ensuring safe operation, and simultaneously reducing manual maintenance intensity, demonstrating strong industrial application value.

This application discloses a method, device, electronic device, and storage medium for controlling the operating parameters of a refrigerator. It can be applied to refrigerators equipped with a parameter setting module, which includes a display module. The method includes: receiving a parameter setting operation for the parameter setting module; displaying at least one set of set operating parameters on the display module based on the parameter setting operation, the operating parameters including an operating parameter name and / or an operating parameter value corresponding to the operating parameter name; saving the set operating parameter name and the corresponding parameter value; and rewriting the operating program in the refrigerator's program module according to the operating parameter name for each set of operating parameters to obtain a target operating program containing the parameter value corresponding to the operating parameter name. This improves the convenience of determining the initial operating parameters of the refrigerator.

The application discloses a kind of high cycle degradable wiping cloth production parameter intelligent control method and system, it is related to wiping cloth production parameter control technical field, the present application is established control target data, cycle attenuation characteristic data and cycle keeps prediction model, realize the advance prediction of high cycle degradable wiping cloth after wet wiping, extrusion, cleaning and disinfection in multiple times, liquid holding capacity, wet state strength keeping ability, low drop stability and friction cleaning capacity, and parameter compensation data is generated according to deviation analysis result, raw material ratio, netting, compaction, surface layer forming and stabilization treatment are intelligently adjusted, to improve the cycle use stability and batch consistency in hospital, catering and hotel scene of product.

The application discloses a two-wheeled vehicle battery package delivery test system and method, and belongs to the technical field of battery manufacturing and testing, which comprises a control terminal, a communication interface module, a bar code identification module and a manufacturing execution system server; wherein the test management software is configured to perform the following: binding the product identification information with the current test task; calling the corresponding preset test parameters according to the product identification information or user selection; controlling the execution of the automatic test process of the battery package based on the preset test parameters; and generating a test record. Thus, the full-process automatic operation from battery package activation, parameter testing, function verification to data uploading can be realized, manual intervention is reduced, the test efficiency and accuracy are improved, and through the integration with the manufacturing execution system, the real-time uploading of test data and the full-life-cycle tracing are realized, so that the quality reliability and consistency of the delivered battery package are ensured.

This invention provides a method, apparatus, and equipment for controlling the spraying of irregularly shaped plastic parts, belonging to the field of spraying technology, and solving the problems of uneven spraying and dead corners on irregularly shaped bodies. The method includes: acquiring three-dimensional shape data, paint characteristic parameters, and environmental parameters of the irregularly shaped plastic part; preprocessing the three-dimensional shape data to obtain a standard point cloud dataset; performing feature recognition processing on the standard point cloud dataset to obtain multiple target area recognition results; determining multiple sets of spraying control parameters based on the multiple target area recognition results, paint characteristic parameters, and environmental parameters; controlling the spraying equipment to perform an initial spraying of the irregularly shaped plastic part according to the multiple sets of spraying control parameters; correcting the multiple sets of spraying control parameters to obtain optimized multiple sets of spraying control parameters; and controlling the spraying equipment to perform a second spraying of the irregularly shaped plastic part according to the optimized multiple sets of spraying control parameters. This solution achieves uniform spraying of workpieces of various shapes and effectively avoids spraying dead corners.

The application discloses an ultrasonic cleaning dynamic control method and system for fragile exuviae, relates to the technical field of ultrasonic cleaning control, and comprises the following steps: S1, periodically collecting exuviae cleaning monitoring data, and performing pretreatment on the exuviae cleaning monitoring data; S2, calculating a group disturbance quantity and a desorption dominant decision value, and outputting a continuous cleaning mark, a strength reduction intervention mark or an end candidate mark; S3, generating a candidate control parameter group, screening an effective candidate parameter group through a frozen verification window, selecting an effective candidate parameter group with the smallest parameter offset total amount as a target control parameter group, and outputting exuviae cleaning control instruction data; and S4, locking a recovery prohibition boundary parameter group, removing the parameter recovery restriction when the subsequent sampling period is continuously stable, and outputting exuviae cleaning boundary locking data. The application solves the problem that the desorption state and the disturbed state are difficult to accurately determine in the existing fragile exuviae ultrasonic cleaning process, leading to unstable cleaning parameter control and lacking effective constraints on fragmentation risks.

The present application relates to the technical field of sugar production, and particularly relates to a sugar juice color value online detection method and system and a process parameter control method and system. The method collects sugar juice color values and key process parameters in real time and constructs a digital feature vector; a dynamic coupling relationship model is trained using historical and real-time data, a baseline color value evolution trajectory is predicted, and a backup collaborative adjustment scheme library covering multiple process scenarios is generated in advance; real-time multi-step trend prediction is performed on the color value, when the prediction deviates from the optimal range, the scheme library is queried in real time according to the deviation characteristics, and a pre-adjustment scheme with the minimum comprehensive process cost is quickly calculated, the pre-adjustment scheme is analyzed and converted into feedforward collaborative adjustment instructions for the auxiliary material adding system and each process execution unit, active and accurate closed-loop control is realized, the lag problem of traditional offline detection and manual control is effectively solved, the predictability and collaboration of color value control are improved, and product quality stability and production efficiency are ensured.

This invention relates to the field of industrial process control technology, specifically disclosing a method for intelligent pressure compensation and adjustment of a multi-stage adjustable atomizing nozzle. First, nozzle inlet pressure and medium flow rate data are collected synchronously. Then, a state vector characterizing the fluid's dynamic properties is constructed and updated in real time based on sliding window covariance analysis and dynamic fusion. Next, an optimal valve control sequence is generated using a combination of pattern matching and rolling optimization. Smooth output of control commands is achieved by introducing a smoothing factor based on control trends through dynamic calculation. Finally, closed-loop correction of the state vector is completed using prediction deviation and adaptive correction strategies. This invention effectively solves the parameter mismatch problem of traditional fixed-parameter PID control when dealing with nonlinear and time-varying fluid characteristics, improving system stability and equipment lifespan while ensuring control accuracy.

The invention relates to the field of parameter control, in particular to a drilling parameter self-adaptive control method and system based on historical machining data, and the method comprises the steps: obtaining a global universal fingerprint curve, and determining a single machine correction factor of each machine tool according to a ratio of a single machine historical average load to a global average load; the main shaft current of the machine tool is collected in real time, a single machine correction factor is used for conducting normalization processing on a real-time signal, and a normalized material response value is obtained; obtaining normalized material response values reported by a plurality of machine tools in a preset sliding time window, and calculating a global hardness trend index by adopting a multi-source weighted voting mechanism; and according to the global hardness trend index and the single machine correction factor, dynamically reconstructing a self-adaptive proportionality coefficient of a PID control algorithm, and outputting a target feeding speed by using the PID control algorithm to realize self-adaptive control of the drilling parameters of the machine tool. According to the invention, self-adaptive control of machine tool parameters based on historical data is realized.

The application discloses a multivariate coupling environment parameter optimization method for a gumming developing machine, and relates to the field of semiconductor manufacturing automatic control, wherein the method comprises the following steps: defining the multi-source environment parameters of the gumming developing machine, and constructing original environment parameter time series data sets; extracting environment parameter change characteristics for gumming developing stage identification; constructing an environment parameter coupling relationship model, connecting a multi-scale sampling reconstruction module, and performing optimization in a preset sampling scale space according to a current process stage label to obtain a sampling scale solution; sampling to obtain at least two groups of environment parameter time series data sets, and sending the data sets to a gumming developing machine control terminal for fusion processing to generate an environment adjustment instruction. The application solves the problem that the multivariate environment parameter control of the existing gumming developing machine cannot simultaneously consider the dynamic influence relationship between parameters and the specific needs of process stages, and achieves the effect of adapting to the dynamic needs of different process stages while considering the coupling relationship between environment parameters.

This invention discloses a multi-dimensional monitoring and control system for the closure accuracy of a ring rolling mill, relating to the field of ring rolling mill quality monitoring technology. It includes: a data acquisition module, which arranges temperature, pressure, displacement, and laser ranging sensors on the contact surface of the ring rolls to form a fully covered monitoring network, and uniformly partitions the contact surface according to the rolls; a quality monitoring module, which obtains the thermo-stress coupling coefficient through a thermo-stress coupling calculation strategy; a closure prediction module, used to establish a closure state prediction model, equipped with a vibration-closure influence strategy, using the thermo-stress coupling coefficient and stress distribution as input data, and outputting a predicted closure accuracy value; and a dynamic parameter control module, used to extract the predicted closure accuracy value and automatically adjust the ring rolling mill control parameters. This invention solves the problem of difficulty in accurately capturing and quantitatively describing the impact of vibration on the accuracy of the prediction model and the closure accuracy during the ring forging process caused by equipment vibration.

According to the tire tread deviation correcting and guiding system based on the adjustable electronic center point, visual collection, intelligent analysis, decision making and executing mechanisms are integrated, closed-loop control is formed, and real-time, dynamic and accurate correction of tread position deviation is achieved. Besides, by constructing an intelligent deviation rectifying system with self-adaptive capability, multi-source real-time information including image quality, tread texture state, conveying speed, material characteristics and system performance can be comprehensively considered, and a deviation rectifying strategy and response intensity are intelligently decided and dynamically adjusted; therefore, the adaptability and the robustness to complex and changeable production working conditions are remarkably improved, the rigidity defect of a traditional fixed parameter control mode is effectively overcome, the stability and the reliability of the system are enhanced while high-precision deviation rectification is ensured, and an effective automatic solution is provided for improving the consistency and the overall quality of tire tread production.

A method and a system for controlling an industrial machine generate multiple outcomes by optimizing an acausal coactive acquisition function configured to maximize a joint gain in the utility of the generated outcomes according to the trained utility model and a preference of the generated outcomes according to the trained preference outcome model. In response to determining a desired outcome based on the generated outcomes, the system determines the operating parameters of the industrial machine corresponding to the desired outcome; and controls the industrial machine according to the mapped operating parameters.

The present application relates to a kind of steam turbine hot state start-up control method, rotation control method and system, comprising: using ATC system control unit speed by one-stage speed-up target speed Z1 Gradually speed up to the unit speed Z3 of no-load in the unit speed-up step, using parameter control system corrects unit speed-up rate and unit warm-up time, specifically, the parameter control system in the process of unit automatic rotation and speed-up, obtain several variable real-time values of the variable that influences unit rotation parameter, and calculate variable real-time value change rate, and then can in the process of unit rotation, using variable real-time value change rate, corrects unit rotation parameter, with flexible control unit operation, increase the accuracy and flexibility of unit rotation control advantage.

The present application relates to a kind of control wide thin gauge 304 stainless steel rolling bias method, belong to reversible cold rolling technical field, solve the problem of roll system bias in the reversible cold rolling process of wide thin gauge 304 stainless steel, the present application proposes the control method of wide thin gauge 304 stainless steel rolling bias problem, this method involves pass and deformation rate control, rolling tension parameter control, and three aspects of shape control, strong system and practicality.After using the control method provided by the present application, the bias incidence rate is reduced from previous 10% to 0.5% or less, significantly improve the stability of stainless steel wide thin gauge cold plate rolling.

This invention relates to the field of intelligent control technology, specifically to an intelligent closed-loop control system coupling oxygen and carbon content with process parameters. The system includes a multi-parameter acquisition module, a parameter coupling deviation correlation data module, a priority-based soft-loop control command module, a detection frequency adaptation scheme module, and an intelligent closed-loop control execution command module. This invention, by real-time acquisition of multiple types of parameters and their classification with standard thresholds to establish an index, determines parameter deviations to uncover the causal mapping relationship between oxygen and carbon concentration and other process parameters. Priority-based soft-loop control commands are generated according to the deviation's impact weight. Stability is assessed by evaluating the time-series curve characteristics of the oxygen and carbon concentration after control, matching the sampling strategy, and correcting the weight coefficients to feed back into the control commands. This improves the accuracy of parameter control, enhances control stability, optimizes detection adaptability, and ensures stable operation of the production process.

A control method and apparatus for a pipetting device, and a storage medium. The control method for a pipetting device comprises: receiving layout information and liquid type information input by a user, wherein the layout information represents the layout of an operating platform of a pipetting device, and the liquid type information represents liquid parameters of pipetting operations to be executed by the pipetting device; acquiring source plate information and destination plate information corresponding to all the pipetting operations, wherein the source plate information and the destination plate information are respectively used for determining liquid aspiration positions and liquid dispensing positions of pipetting operations to be executed by the pipetting device for a first liquid; on the basis of the layout information, the liquid type information, the source plate information and the destination plate information, determining operation parameters of the pipetting operations; and on the basis of the operation parameters, controlling the pipetting device to execute the pipetting operations.

The present application relates to the technical field of rubber product automatic manufacturing, and discloses a multi-stage incremental trimming control system and method for sealing rings based on separation rate feedback, which comprises a variable-frequency edge-removing execution mechanism, an air separator, a visual counting sensor, a shunt mechanism, a backflow channel and a dynamic parameter controller. The method acquires material images in real time through the visual counting sensor and calculates the proportion of non-separated products; the dynamic parameter controller compares the proportion of non-separated products with a preset separation threshold; when the proportion of non-separated products exceeds the threshold, the shunt mechanism intercepts the material into the backflow channel, the dynamic parameter controller increases the cycle number value and adjusts the current actual execution intensity parameter of the variable-frequency edge-removing execution mechanism, so that the physical output intensity of the variable-frequency edge-removing execution mechanism increases nonlinearly with the increase of the cycle number value. The present application reduces the mechanical damage rate of the sealing ring body while ensuring the removal rate of stubborn flash through multi-stage incremental parameter adjustment logic.

This invention relates to the field of control system technology and discloses an automatic positioning method and system for precision metal molds. The method includes: in the initial stage of positioning, after conditionally purifying the tracking error sequence, matching its shape with a pre-stored standard curve to calculate the fusion weight, and fusion of multiple control modes to generate an instruction. Finally, kinematic safety arbitration is performed on the instruction. This invention can quickly determine the real-time state of the controlled object at the beginning stage of the positioning task by using the initial shape of the tracking error as a direct reflection of the system's current dynamic characteristics, and immediately match or construct a control strategy that adapts to it, thereby solving the static compromise problem between response speed and robust stability in fixed-parameter controllers.

The application provides a control method of a solar thermochemical energy storage device, and belongs to the technical field of solar energy. The method determines a target residence time of particles, obtains a plurality of parameter groups containing a scraper angle, a feeding speed, a scraper spacing and a rotating disc rotating speed, calculates the residence time of the particles corresponding to each parameter group through a target numerical model established based on the parameters of the particles and the device, obtains an average value and a variance of the residence time of the particles in the device corresponding to each parameter group based on the residence time of a plurality of particles in the device corresponding to each parameter group, determines a plurality of first target parameter groups from the plurality of parameter groups, determines a second target parameter group from the plurality of first target parameter groups, and the second target parameter group is the first target parameter group with the minimum variance of the corresponding residence time in the plurality of first target parameter groups. The device is controlled based on the second target parameter, and the beneficial effect of accurately controlling the residence time of the particles is achieved.

The application provides an embodiment belonging to the household appliance technical field, and provides a direct-current refrigerator and a control method of the direct-current refrigerator. The direct-current refrigerator comprises: a cabinet body, which is configured with at least one storage room; and a controller, which is arranged in the cabinet body. The method comprises the following steps: in response to a setting operation of a user, acquiring set load voltage flexible adjustment information; in a voltage flexible adjustment mode, determining the operation parameter of the load based on the power supply voltage of the direct-current refrigerator and the flexible adjustment information; and controlling the operation of the load of the direct-current refrigerator by using the operation parameter. In this way, the user can set the flexible adjustment information, so that the controller can adaptively adjust based on the power supply voltage according to the flexible adjustment information set by the user during the operation of the direct-current refrigerator.

The application relates to the technical field of machine tool control, in particular to an adaptive control optimization method for dynamic compensation of a metal cutting process, which comprises the following steps: acquiring initial tool path parameters, initial cutting parameter, tool geometric angle and workpiece material characteristics corresponding to a target metal cutting task; controlling the machine tool to perform a cutting operation according to the initial tool path parameters and the initial cutting parameter, collecting real-time vibration displacement of a tool-workpiece contact area and real-time load torque of a machine tool spindle motor in the cutting process; determining a current vibration state grade of the tool according to the real-time vibration displacement, querying a preset historical machining database according to the vibration state grade, and obtaining a target compensation curve matched with the current workpiece material characteristics. The application can reduce the risk of excessive wear by compensating the elastic deformation of the tool in real time and optimizing the cutting parameter according to the wear data, thereby prolonging the service life of the tool and reducing the production cost.

The application relates to a control method of a tire pressure monitoring device and related products, and belongs to the technical field of tire pressure monitoring, wherein the method comprises the following steps: acquiring environmental noise information of an environment in which a tire pressure monitoring device is located; determining target emission parameters of the tire pressure monitoring device based on the environmental noise information; and controlling the tire pressure monitoring device to perform signal emission according to the target emission parameters. The method can solve the problems of signal reception reliability reduction and / or excessive emission end energy consumption caused by the fact that a fixed emission intensity cannot adapt to a dynamic interference environment.

This invention discloses an intelligent control and visualization operation platform for the entire blast furnace smelting process parameters. The invention relates to the field of metallurgical technology, comprising: a data acquisition module to acquire historical smelting operation data; a smelting parameter mapping modeling module to construct a mapping model between control demand data and smelting parameters; a control scheme generation module to preset three influencing parameter ratio modes and generate multiple sets of smelting parameter control candidate schemes; and a simulation and evaluation module to input the smelting parameter control candidate schemes into a blast furnace smelting simulation model for simulation and to obtain furnace condition evolution results. By constructing the smelting parameter mapping modeling module and the simulation and evaluation module, this invention transforms control demand data into multiple sets of smelting parameter control candidate schemes and performs forward-looking simulations on each candidate scheme. This effectively reduces the risk of relying on human experience, avoids control schemes with safety hazards, and improves the safety and controllability of blast furnace smelting control.

This invention relates to the field of forging technology, solving the problem of low processing efficiency and inability to form angled flange blanks in a single pass when forging presses. Specifically, it discloses a forging device and process for metal connectors, including a free forging press body, a forming die assembly, a die positioning and fixing module, a precision detection module, a demolding drive module, and a parameter control module. The process includes: Step 1, collecting the dimensional parameters, angle parameters, rated pressure, and slide stroke parameters of the flange blank to be forged; Step 2, completing the die installation and positioning; Step 3, starting the free forging press and controlling the slide to drive the upper die downwards; Step 4, inputting the collected displacement and pressure data into the discrimination model of the parameter control module and outputting control commands, etc. This invention is used for forging metal connectors such as flanges, improving forging efficiency and effectiveness.