267 results about "Control curve" patented technology

The invention discloses a pepper freezing temperature gradient dynamic adjusting method and system, particularly relates to the technical field of industrial freezing temperature control, and is used for solving the problem of temperature gradient misalignment caused by the fact that a static model does not sense dynamic changes of material thermodynamic parameters in real time in an existing freezing control method. Temperature distribution and gas flow rate data in the freezing process are collected in real time, a high-confidence-coefficient data subset of a low-flow-rate area is screened based on spatial correlation, the dynamic heat conduction coefficient of the material is identified online through a recursive algorithm, and the dynamic heat conduction coefficient of the material is identified through a double-threshold-value judgment mechanism of the energy release rate and the phase lag angle. Performing segmentation fitting to generate a stable parameter sequence; further dynamically adjusting a preset temperature gradient model through a nonlinear correction strategy to generate a self-adaptive gradient control curve, and finally driving heat exchange rate adjustment to realize closed-loop tracking of the actual temperature gradient on a target curve; the freezing uniformity and energy efficiency of the high-moisture material are remarkably improved, and the control precision caused by thermal response mismatch is improved.

The invention discloses a power distribution network voltage control method based on distributed photovoltaic active-reactive cooperation, and the method comprises the steps: analyzing the influence of reactive / active injection on voltage stability through building a sensitivity matrix, deducing a critical control gain constraint condition, and guaranteeing the static stability of the voltage of a power distribution network; a photovoltaic inverter active / reactive cooperative control general model suitable for different scenes is constructed based on an intra-day scheduling and real-time control two-stage framework, and control curve parameters of each node photovoltaic inverter are optimized by taking minimization of network loss cost, active reduction cost, inverter voltage regulation cost and voltage deviation as targets in the intra-day scheduling stage; in the real-time control stage, active power reduction and reactive power regulation are dynamically coordinated based on an optimal control curve, reactive power margin is preferentially utilized to suppress voltage rise, and power flow distribution is directly regulated through active power reduction when reactive power capacity is saturated. According to the method, the safety and economy of the power grid are considered, and theoretical support and a practical solution are provided for voltage control of the high-permeability photovoltaic power distribution network.

The invention discloses a processing control method and system for a carbon fiber composite transmission shaft, and relates to the technical field of intelligent transmission shaft manufacturing, and the method comprises the steps: dynamically adjusting the control current of a magneto-rheological damper through a PID controller based on a process control parameter set, and recording tension fluctuation and temperature gradient data; inputting tension fluctuation and temperature gradient data into an ANSYS coupling simulation engine, establishing a three-dimensional temperature field model, calculating a resin flow compensation coefficient, generating a temperature-pressure cooperative control curve through an NSGA-III multi-objective optimization algorithm based on the resin flow compensation coefficient, and calculating the resin flow compensation coefficient and the temperature-pressure cooperative control curve according to the resin flow compensation coefficient and the temperature-pressure cooperative control curve. And integrating through a time sequence control engine to generate a solidification control instruction. According to the invention, a multi-source data fusion algorithm is combined with the industrial Internet of Things edge computing gateway, so that accurate monitoring and synchronous processing of the process control parameter set are realized, and the dynamic behavior of the carbon fiber composite material in the processing process is comprehensively reflected.

The invention relates to the technical field of progress management, in particular to a whole-process project cost progress management method and system, equipment and a medium. According to the method, the engineering project is structurally decomposed, the mapping relation between the cost data and the progress data is established, and real-time monitoring of the cost execution deviation is achieved; the method comprises the following steps: firstly, obtaining divided item engineering data and dividing construction nodes, then calculating planned cost and actual cost of each node, further analyzing cost execution deviation through a mathematical model, and finally establishing a cost progress control curve based on deviation data and generating an adjustment scheme. The construction cost management and the progress management are organically combined, the limitation of a traditional independent management mode is broken through, the construction cost deviation can be found and corrected in time, and the management efficiency and the control precision of an engineering project are effectively improved.

The invention relates to the technical field of chip test engineering control, in particular to an active temperature control method and system for a chip aging tester, and the method comprises the steps: analyzing a test process according to test task parameters, and evaluating the expected thermal load change rate of a test chip, so as to dynamically generate a chip target junction temperature control curve; based on the chip target junction temperature control curve, the actual chip junction temperature and the current actual furnace temperature, the theoretical furnace temperature is obtained through a junction temperature closed-loop control algorithm, the furnace temperature compensation amount is calculated through a feedforward compensation algorithm in combination with the test state parameters, and the ideal furnace temperature is obtained according to the theoretical furnace temperature and the furnace temperature compensation amount; the actual temperature control quantity is obtained according to the basic temperature adjusting quantity and the temperature control compensation quantity, a preset chip target junction temperature control curve can be tracked more accurately, transient and steady state errors caused by test program switching and environment fluctuation can be more effectively restrained, and control over the chip junction temperature with higher precision and faster response is achieved.

The invention provides a dynamic power adaptive charging control system and method based on a W algorithm, and relates to the technical field of electric two-wheeled vehicle charging control. The system comprises a battery state sensing module, a charging power standard calculation module, a regulation and control model construction module, a model dynamic optimization module and a deviation early warning and regulation and control module. The battery state sensing module generates battery charging basic data; the charging power standard calculation module calculates a charging operation power standard value; the regulation and control model construction module generates an initial power regulation and control curve; the model dynamic optimization module calculates a self-adaptive charging power regulation and control curve; and the deviation early warning and regulation module realizes self-adaptive regulation of the charging power of the electric two-wheeled vehicle. According to the method, the power grid adaptability correction model is constructed and the regional differentiation parameters are introduced, so that power grid fluctuation is flexibly coped, wide-voltage stable operation is guaranteed, and the adaptability, the safety and the intelligent level of the electric two-wheeled vehicle charging system are comprehensively enhanced.

Disclosed in the present invention are a backup system, and a train control system and an application method thereof. The backup system comprises: a lineside electronic unit, which communicates with a TIS or a station computer-based interlocking device to obtain a signal state and turnout position information; and an active balise connected to the lineside electronic unit and an onboard device, respectively; wherein the lineside electronic unit determines sent movement authority information and line data information on the basis of the obtained signal state and turnout position information; when a train passes through the position where the active balise is located, the active balise sends the obtained movement authority information and line data information to the onboard device; and when entering an enhanced backup mode, the onboard device in the train control system calculates a speed-distance control curve on the basis of the movement authority information and the line data information obtained from the active balise, so as to perform train operation supervision and protection. According to the prevent invention, when train-ground wireless communication is interrupted and a train control system is degraded to a backup mode, a train is allowed to enter a station at a higher speed.

The invention relates to a mold injection molding speed control method, device and equipment, a medium and a program product. The method comprises the following steps: acquiring dynamic behavior information in a mold cavity of the injection mold and screw displacement data of injection molding equipment; carrying out fusion processing on the screw displacement data and the dynamic behavior information to obtain fusion data; inputting the fusion data into a pre-constructed melt front edge prediction model, and generating a target injection molding speed control curve by using preset target molding strategy parameters; wherein the target injection molding speed control curve is used for controlling the injection molding equipment to execute corresponding injection molding speeds in different injection molding stages; the target injection molding speed control curve comprises at least two speed change control sections so as to adapt to mold filling requirements of different stages; and the target injection molding speed control curve is input into an injection molding machine control system, so that the injection molding machine control system executes injection molding action according to the target injection molding speed control curve, and the melt is pushed along the mold cavity. By adopting the method, the accuracy of the forming speed can be improved.

The invention belongs to the technical field of high-temperature experimental equipment, and discloses an integrated intelligent program control and multiple safety protection experimental box-type resistance furnace which comprises a furnace body, a sensor suite and a controller, the controller runs an intelligent control program based on neural network model predictive control, namely NN-MPC, and the intelligent control program is connected with the sensor suite. The method is used for realizing accurate tracking of a complex temperature control curve and optimization of energy consumption. Meanwhile, the controller also runs an active health management program based on prediction and health management, namely PHM, and the program predicts the residual service life, namely RUL, by monitoring health indexes such as resistance of the heating element in real time, so that early warning and predictive maintenance of faults are realized; the health state information of the PHM module is fed back to the NN-MPC module in real time, so that the control system can adapt to aging of the equipment, and the control performance, the energy efficiency, the operation reliability and the overall safety of the equipment are remarkably improved.

The invention relates to the technical field of intelligent lighting control systems, in particular to an underground garage lighting control system and method based on artificial neural network PID and a storage medium. Comprising a brightness sensor, a traffic flow sensor, an illuminance sensor, a temperature and humidity sensor and a microwave speed measurement sensor which are arranged inside and outside a garage; the intelligent network connection lamp comprises an intelligent gateway unit, an LED dimming driving unit and an LED lamp, and the intelligent gateway unit is used for receiving the control instruction and communicating with the upper computer; and the upper computer is used for receiving the data of the detection unit, generating an optimal illumination control curve based on a garage comfort illumination model and a rendezvous zone fuzzy control model, and adjusting the illumination of lamps in each zone in real time through an RBF neural network PID (Proportion Integration Differentiation) algorithm. According to the method, self-learning optimization is achieved, PID parameters are adjusted online through the neural network RBF, the method adapts to long-term dynamic influences such as differences of different types of garages, seasonal changes and equipment aging, and optimal control is given.

The invention relates to the technical field of oil and gas development, and provides a fracturing pump injection optimization method, device and equipment and a storage medium, the method comprises the steps that initial pump injection control parameters and constraint conditions of all fracturing stages are obtained, and the fracturing stages comprise the prepad fluid stage, the sand-carrying fluid stage and the displacing fluid stage; the pump injection control parameters serve as input, a pump injection target function is optimized through a multi-target optimization algorithm, and an optimal pump injection control curve meeting the constraint conditions is generated; and pump injection control parameters of all the fracturing stages are adjusted according to the optimal pump injection control curve. According to the method, the optimization efficiency and the optimization precision of fracturing pump injection optimization can be improved, and finally, the fracturing efficiency and the fracturing precision of fracturing operation can be improved.

The present invention relates to the field of semiconductor manufacturing technology, and more specifically, to a temperature control system and method for a semiconductor chamber with two heating disks. The present invention provides a temperature control system for a semiconductor chamber with two heating disks, comprising: a first heating disk and a second heating disk, a temperature acquisition unit, which acquires the temperature of the first heating disk and the second heating disk; a control unit, which is arranged outside the cavity and adjusts the output power of an execution unit; an execution unit, which heats the first heating disk and the second heating disk; wherein the control unit is a PID controller, which selects multiple temperature regions for segmented PID adjustment, and performs PID adjustment on the execution unit. The present invention can respectively acquire and calibrate the temperatures of the two heating disks under different temperature environments, and combine the acquisition and improvement of PID control curves at different temperatures with temperature multi-segment PID adjustment to achieve precise temperature control of the two heating disks in a single cavity.

The invention relates to the field of mechanical transmission control, and discloses a self-adaptive torsion optimization method and system based on a stress model. The method mainly comprises the following steps: acquiring strain, temperature and vibration data of a transmission system in real time through a distributed sensor network; constructing a three-dimensional dynamic stress field model, and marking a high-risk area; dynamically adjusting a safety threshold based on material fatigue characteristics, and generating a torque control curve by adopting an optimization algorithm; and eliminating response delay through a pre-compensation mechanism. The system comprises an edge calculation unit, a millisecond-level actuator and a grading protection module. According to the method, the tooth root stress concentration is successfully inhibited by 35% in the wind power gear box, the impact load is reduced by 52% in the industrial robot joint, the equipment reliability is remarkably improved, and the service life is remarkably prolonged. The device is suitable for transmission systems of wind power, electric automobiles, industrial robots and the like.

The invention discloses an AC excitation system self-starting control method and system, and the method comprises the steps: obtaining a rotor current rotation frequency and an actual rotor rotation frequency, and generating a slip frequency; the slip frequency is compared with a preset dynamic threshold value, and the rotating speed given value is dynamically adjusted; inquiring a preset multi-stage sectional type current control curve according to the actual rotor rotation frequency, and outputting a d-axis current given value; pI adjustment is carried out based on the slip frequency to generate a q-axis current given value, and corresponding preset current threshold limit is applied according to the frequency band where the actual rotor rotation frequency is located; performing independent parameter configuration on the magnetic flux current control loop and the torque current control loop by adopting a non-coupling parameter setting algorithm; and in the unit starting process, under the condition that the stable starting constraint condition is met, an optimal starting parameter combination is generated. According to the invention, by dynamically adjusting the rotating speed given value and controlling the current in a segmented manner, the stable self-starting of the alternating current excitation system is realized, and the reliability and efficiency of the starting process are improved.

The invention discloses a special vehicle action method and a related device, which are used in the field of vehicle control and used for an electric actuation system.The method comprises the steps that firstly, an action instruction is received; the action instructions comprise an erecting instruction, a leveling instruction and a withdrawing instruction; then, responding to the action instruction, and executing an action program corresponding to the action instruction based on a pre-calculated control curve; the action program is determined by simulating a plurality of programs designed on the basis of a universal control tool through an electric action system model established on the basis of a universal integrated platform; and finally, based on inclination angle information fed back by the inclination angle sensor and a target inclination angle corresponding to the action instruction, determining an action completion state. Therefore, the electric actuating system is used for replacing a traditional hydraulic system in the operation of the special vehicle, the energy conversion steps can be obviously reduced, electric energy is directly converted into mechanical energy, the efficiency is improved, and the energy loss is reduced.

The invention discloses a high-speed train head type aerodynamic optimization design method, device and equipment and a storage medium. The optimization design method comprises the steps that a high-speed train aerodynamic simulation model is constructed; performing free-form surface fitting on the front end surface of the high-speed train aerodynamic simulation model to form a grid surface; according to the train head deformation requirement, key spline control molded lines are added to grid lines of the grid face, and grid points are selected from the key spline control molded lines to serve as control points; defining control point parameters and an optimization target; based on the control point parameters and the optimization target, an intelligent optimization algorithm is adopted to carry out optimization solution, and each control point parameter under the optimal target is obtained; and performing high-speed train head optimization design according to the parameters of each control point under the optimal target. According to the method, the free-form surface modeling technology is combined with high-precision computational fluid mechanics and an intelligent optimization algorithm, and the problems that a traditional method is low in design freedom degree, long in period and difficult in global optimization are solved.

The invention provides a control method and device for automatic leveling of an aerial work platform, the platform and a medium. The method comprises the steps that after the aerial work platform is started, the platform angle is obtained; within a first preset duration, determining a first automatic leveling current of the proportional valve according to the platform angle and the first automatic leveling control curve; within a second preset duration after the first preset duration, an angle change value is determined according to the current moment and the second preset duration, and a second automatic leveling current of the proportional valve is determined according to the platform angle, the angle change value and the first automatic leveling control curve; and after a second preset duration, according to the platform angle and a second automatic leveling control curve, a third automatic leveling current of the proportional valve is determined, automatic leveling of reference to zero offset is carried out, and the second automatic leveling control curve is obtained by moving the longitudinal axis of the first automatic leveling control curve leftwards / rightwards. According to the method, the leveling stability and the leveling effect of the aerial work platform are improved.

The invention discloses a high-precision die-casting action closed-loop control method and device and a medium. The method comprises the following steps of: in a rapid injection stage, adopting a smooth curve which is generated by adopting Lagrange interpolation and comprises a starting point, an end point, a middle point and two symmetrical points which are symmetrical along the middle point and are used for controlling the radian of the curve as a first opening control curve of the outlet servo valve; and in the mold unlocking and locking stage, an acceleration-constant speed-deceleration three-section motion curve is adopted as a target motion curve of the driving oil cylinder, and a second opening degree control curve of the proportional valve used for controlling the driving oil cylinder to act is constructed based on the target motion curve. The device and the medium are both used for implementing the method. The method has the beneficial effects that the opening signal of the outlet servo valve is planned through Lagrange interpolation, the opening curve can be smooth, and therefore high-speed overshoot suppression is achieved; and meanwhile, through the arrangement of the three-section type motion curve, the pressure step of the driving oil cylinder can be effectively relieved.

The invention relates to the field of electric pressure cooker control, and discloses a cooking pressure release optimization method and equipment based on user scene self-adaption, and the method comprises the steps: obtaining food material information and altitude information of an electric pressure cooker, and determining a pressure release control curve corresponding to the food material information according to the food material information and the altitude information; obtaining pressure release adjustment historical information of adjusting the electric pressure cooker by the user when the electric pressure cooker cooks through a pressure release control curve corresponding to the food material information; and determining an optimized pressure release control curve according to the food material information, the altitude information, the pressure release control curve corresponding to the food material information and the pressure release adjustment historical information through a cooking pressure adjustment model. When pressure release control is performed on the electric pressure cooker according to the altitude change, optimization can be performed in combination with the use habits of the user, and the use effect of the electric pressure cooker is improved.

The invention provides a range hood operation control method and device, a lifting type range hood and electronic equipment, and the method comprises the steps: obtaining a to-be-cooked food material and a user portrait in response to a cooking starting operation; generating a personalized menu based on the to-be-cooked food materials and the user portrait; and generating a control curve of the range hood based on the personalized menu, wherein the control curve comprises a range hood lifting curve and / or a range hood air volume curve. According to the method, the fine-grained user portrait is constructed by collecting the biological characteristics, the dietary habits and the cooking behavior characteristics of the user, and the control curve of the range hood adaptive to the individual preference is generated accordingly, so that the individual suitability and accuracy of the control curve of the range hood are remarkably improved.

The invention provides a thickness measuring device and method based on progressive control. The device comprises a U-shaped sensor supporting moving part and a contact type thickness measuring module. The contact type thickness measuring module comprises a driving controller, a first displacement sensor and a second displacement sensor, wherein the first displacement sensor and the second displacement sensor are arranged at the first end and the second end of the U-shaped sensor supporting moving part respectively, and a measured object is located between the first displacement sensor and the second displacement sensor. A detection head of the first displacement sensor is aligned with a detection head of the second displacement sensor, and the first displacement sensor and the second displacement sensor are both provided with driving sources; in the thickness measuring process, the driving controller controls the driving source to respectively drive the detection head of the first displacement sensor and the detection head of the second displacement sensor to gradually clamp a measured object according to a pre-calibrated step control curve and obtain a first thickness value of the measured object. The device can improve the accuracy of sheet thickness detection.

A power tool includes a trigger module, a motor unit, and a controller electrically connected to the trigger module and the motor unit. The controller stores parameter data that define a common control curve that represents a corresponding relationship between a reference pressed depth and a reference rotation speed. The controller obtains a pressing value from the trigger module, and outputs a control signal at least based on the common control curve and the pressing value to the motor unit. The common control curve has a low-speed curve segment and a high-speed curve segment. In a low speed mode, the controller outputs the control signal based on the low-speed curve segment. In a high speed mode, the controller outputs the control signal based on a high-speed control curve composed at least of the low-speed curve segment and the high-speed curve segment.

The invention relates to the technical field of elevator control, and discloses a variable frequency driving system for elevator control, the system comprises a dynamic speed regulation control end, a voltage frequency cooperation end, a harmonic suppression management end and a multi-stage voice alarm module, the dynamic speed regulation control end is arranged, and when elevator operation control is carried out, the voltage frequency cooperation end is matched with the harmonic suppression management end; a speed regulation and control curve is automatically generated based on the load state and the operation requirement, and the acceleration change process is optimized in the start-stop stage, so that the system can eliminate current impact during traditional power frequency start, stable start of a motor is ensured, load impact of mechanical transmission parts is reduced, and abnormal abrasion of equipment is avoided; voltage and frequency output characteristics are dynamically matched by adopting a closed-loop regulation technology, so that the system can automatically regulate power output according to actual load requirements, the defects of light-load energy consumption waste and insufficient heavy-load power of a traditional scheme are overcome, and efficient and stable operation under different load working conditions is ensured.

The invention discloses an extruder screw rotating speed intelligent matching and energy consumption compensation method based on deep learning, and relates to the technical field of monitoring analysis, and the method comprises the steps: collecting operation state parameters and material characteristic parameters corresponding to an extruder, constructing a material-equipment coupling data set, carrying out screw equivalent torque analysis based on the material-equipment coupling data set, and carrying out screw equivalent torque analysis based on the material-equipment coupling data set. Generating a screw load characteristic spectrum; temperature-pressure coupling field evolution simulation is carried out according to the screw load characteristic spectrum, melt phase change process parameters are obtained, and then an intelligent rotating speed control curve is generated; establishing an energy consumption compensation coefficient matrix, and performing phase difference compensation mapping on the energy consumption compensation coefficient matrix according to the electric parameter characteristics of the extruder driving motor winding to generate an energy consumption compensation instruction set; and constructing an energy consumption dynamic balance model, carrying out online optimization on the energy consumption dynamic balance model, generating a screw rotation speed-energy consumption cooperative controller, and deploying the screw rotation speed-energy consumption cooperative controller to an edge computing terminal.

The invention discloses a tunnel internal illumination control method based on multi-data analysis, and relates to the technical field of tunnel illumination control. According to the invention, the construction of the brightness control curve takes the Gaussian function as the core, the continuous attenuation of the brightness from the natural brightness of the hole to the reference brightness in the hole is realized through the brightness transition curve, and the Gaussian attenuation coefficient is solved in combination with the length of the transition section, so that the smoothness of the brightness along with the position change is ensured; the problem of visual discomfort caused by sudden brightness change in traditional stepped dimming is solved; in addition, by judging whether the intersection point exists in the brightness transition curves of the transition sections of the entrance and the exit, the curves are intercepted or recalculated, and the illumination control conflict caused by overlapping of the transition sections in the short tunnel is effectively solved. According to the technical scheme, the illumination in the tunnel is accurately controlled, so that the vision of a driver is always in a comfortable and adaptive state in the whole process of entering, driving out of the tunnel and passing through the short tunnel, the obstacle recognition distance is remarkably prolonged, and the risk of accidents such as rear-end collision and lane departure is reduced.

The invention discloses a reservoir drought limit water level staging ecological flow optimization method. The method comprises the following steps: S1, generating an ecological window set; s2, constructing a hydrological state set, and calculating a corresponding hydrological state transition probability matrix; s3, setting physical relationship constraints; s4, constructing an improved particle swarm optimization model; s5, finally constructing a complete improved particle swarm optimization model; s6, performing iterative search on the improved particle swarm optimization model, and outputting an optimal particle solution composed of a reservoir water level control curve corresponding to the ecological window set and an ecological flow discharge sequence; and S7, converting the optimal particle solution into an executable control signal of a gate opening sequence, a flow guide unit adjusting instruction and a real-time reservoir water level set value which can be identified by a reservoir monitoring data acquisition and monitoring system, and executing the control signal through the monitoring data acquisition and monitoring system to implement stage-by-stage reservoir scheduling. According to the invention, organic unification of intelligentization of reservoir multi-target stage scheduling and engineering applicability is realized.

The present invention discloses a method and system for voltage control of a distribution network with high photovoltaic penetration. The method includes: constructing a voltage control strategy for a distribution network with high photovoltaic penetration; constructing a dynamic degradation cost function of an energy storage system; constructing a calculation model for approximating the node voltage of the distribution network; constructing a CVaR function for evaluating the risk of voltage violation and the risk of inverter capacity violation; constructing a centralized optimization model for voltage control of a distribution network with high photovoltaic penetration considering photovoltaic uncertainty, calculating the weighted sum of the risk of node voltage exceeding the upper limit and the voltage control cost within a finite time domain, constructing an objective function with minimizing the weighted sum as the goal, and constructing a global optimal voltage control strategy; solving the centralized optimization model based on the distributed robust model predictive control algorithm to output a voltage-reactive power droop control curve; and adjusting the reactive power output of the photovoltaic inverter based on the voltage-reactive power droop control curve to achieve voltage control. The present invention can reduce voltage deviation in real time and lower the voltage control cost.

The present application discloses an energy consumption control method for an air conditioning device, an air conditioning device, and a storage medium. The energy consumption control method for an air conditioning device comprises: according to energy consumption control requirements, generating a power control curve; on the basis of the power control curve, determining a target control parameter satisfying a power of the current operation period; and controlling the air conditioning device to operate according to the target control parameter.

The application relates to an integrated vacuum pump testing method and testing device, and relates to the technical field of vacuum pumps, and comprises the following steps: controlling a water inlet pipe ball valve and a water return pipe ball valve to be opened, and collecting a water pipe flow value; when the water pipe flow value is consistent with a reference flow value, controlling a power supply start button to be opened, and controlling a curve data collection device to collect a limit vacuum degree of a buffer tank in an empty state; when the limit vacuum degree reaches a planned vacuum degree, installing a test orifice plate with an initial aperture at an air inlet position of the buffer tank, and adjusting the aperture of the test orifice plate in different ways, controlling the curve data collection device to collect a vacuum pumping speed and working basic parameters of the measured pump; based on the vacuum pumping speed, the curve data collection device generates a pumping speed change curve, based on the working basic parameters, the basic parameter change curve is generated, and the pumping speed change curve and the basic parameter change curve are output. The application has the effect of improving the testing efficiency of the vacuum pump.

The invention discloses a logarithmic attenuation curve-based winding tension control and implementation method and system for a reel material printing machine, and belongs to the technical field of reel material printing equipment control. The method comprises the following steps that the initial angular speed of a winding motor is set, working parameters of a winding unit are collected, and then a logarithmic attenuation tension control curve is constructed according to characteristic parameters of a winding base material; calculating a set tension value by combining the collected working parameters with a logarithmic attenuation tension control curve; determining a tension permissible fluctuation interval according to the calculated set tension value, and then judging whether the collected working parameters are in the permissible fluctuation interval or not; if yes, the angular speed of the winding motor is not adjusted, and if not, the angular speed of the winding motor is adjusted till the collected working parameters are within the allowable fluctuation interval. The method solves the technical problem that the tension of the base material in the existing winding unit is difficult to display and accurately control.