314 results about "Lower limit" patented technology

Provided is an image forming apparatus including: an image forming unit configured to form an image on a recording material; an exhaust fan configured to exhaust air inside the image forming apparatus; a CPU configured to control rotation of the exhaust fan; and a memory configured to store in advance a first control setting value for rotating the exhaust fan at a first target rotation speed. The CPU rotates the exhaust fan based on the first control setting value, and permits the image forming unit to form an image when a rotation speed of the exhaust fan becomes equal to or faster than a lower limit rotation speed for suppressing a discharge amount of UFPs. When a predetermined time period has elapsed, the CPU performs feedback control for the exhaust fan such that the exhaust fan is rotated faster than the first target rotation speed.

The invention provides a data exception early warning method and device based on a dynamic threshold model. The method comprises the following steps: firstly, constructing an index time sequence library and an event library for storing index and event information; fusing the historical same-period base line, the trend term and the event influence value and generating a base line through a dynamic weight formula; calculating upper and lower limits of a dynamic threshold by combining the fluctuation acceleration and a basic fluctuation coefficient; and finally, comparing the real-time index value with a threshold range to judge whether to give an alarm, and optimizing the model or updating the event library according to a manual labeling result. According to the method, dynamic and accurate early warning of data exception can be realized, service scene changes can be adapted, the early warning accuracy is continuously improved through feedback optimization, and powerful support is provided for stable service operation and efficient exception disposal.

The invention discloses a motor control device and an air conditioner. The motor control device comprises an injection signal controller; the high-frequency pulse injection observer receives the high-frequency current and outputs a first observation angle; the IF and pulse injection switching controller is configured to receive a signal output by the rotating speed control part; when the acceleration of the motor reaches a lower limit value of a preset threshold value, switching an IF control mode and outputting a q-axis target current, when the current value of the motor reaches an upper limit value of a preset current value, reducing the q-axis target current, and when the acceleration reaches an upper limit value of the preset threshold value, keeping applying a pulse high-frequency voltage signal and enabling a rotating speed control part to output the q-axis target current; and the angle switching controller is configured to control and output a required observation angle according to the real-time rotating speed of the motor, a first observation angle observed by the high-frequency pulse injection observer and a second observation angle observed by the sliding-mode observer in the FOC speed current double-closed-loop architecture. Reliable starting and operation of the motor can be ensured.

The invention discloses an intelligent online monitoring method and system for a transformer, and the method comprises the steps: dividing historical data into a plurality of working condition intervals according to the historical working condition data, and enabling each working condition interval to have a numerical range corresponding to a working condition parameter; based on all historical operation data in the working condition interval, a dynamic reference range corresponding to the working condition interval is determined, and the dynamic reference range is a numerical value interval with an upper limit value and a lower limit value; obtaining a current operation parameter value and a corresponding current working condition parameter value of the target transformer in real time; determining a target working condition interval from the plurality of working condition intervals according to the current working condition parameter value; obtaining a target dynamic reference range corresponding to the target working condition interval; and when it is determined that the current operation parameter value is not located in the target dynamic reference range, it is determined that the transformer is abnormal, and an early warning signal is generated. The method is used for improving the early warning accuracy and reliability of transformer monitoring.

The invention relates to the technical field of FPC (Flexible Printed Circuit) laminated structure optimization, in particular to a module FPC laminated structure optimization system based on signal integrity, which comprises a laminated parameter sensitivity extraction module used for defining the thickness of a dielectric layer, the thickness of a copper foil and a dielectric constant as closed interval values with upper and lower boundaries according to FPC design specifications. According to the method, the accumulated deviation area and the normalized confidence score are obtained in combination with integral operation, conversion from a frequency domain to a time domain and from qualitative analysis to quantitative evaluation is achieved, tiny flaws of impedance continuity are captured, inferior paths are screened based on the confidence score, and a physical junction area is positioned. The geometric gravity center of the deviation area is calculated to be matched with the slope and the length of the gradient line, a smoothly-transited geometric figure is constructed, structural compensation can be achieved in areas where impedance is prone to sudden change such as a reinforcing plate junction and covering film pressing, and signal reflection caused by physical sudden change of a stacked structure is eliminated.

The invention discloses a reaction steam turbine through-flow method and system based on variable reaction degree optimization, and belongs to the technical field of steam turbine through-flow design. The method comprises the steps that an initial geometric model of a steam turbine through-flow part and thermal boundary conditions of all stages are obtained; inputting the initial geometric model and the thermal boundary conditions into a flow field solver, and solving a flow control equation to obtain an original flow field solution; constructing a functional taking through-flow efficiency as a target, and deducing an adjoint equation corresponding to the flow control equation; solving the adjoint equation to obtain gradient information of the target functional to each level of reaction degree; inputting the gradient information into a sequential quadratic programming optimizer, and iteratively updating the reactance of each stage by combining the maximum equivalent stress upper limit of the moving blade and the lower limit of the through-flow throat area to generate a variable reactance distribution scheme; and adjusting molded line geometric parameters of each stage of stationary blade and moving blade, and outputting optimized three-dimensional molded line data and a digital model file for numerical control machining. According to the method, the in-stage flow loss is reduced, and the design robustness is enhanced.

The invention discloses a big data real-time calculation abnormal value filtering method and a terminal. The method comprises the following steps: acquiring scene basic data, establishing a relevance rule of master data and slave data in the scene basic data, determining upper and lower limit parameters of the master data, the slave data and the scene basic data according to data attributes, and calculating a basic data value of the scene basic data; determining a preset range of the scene basic data by using machine learning in combination with upper and lower limit parameters of the master and slave data and the scene basic data; if the basic data value of the scene basic data is within the preset range, calculating the fluctuation range and the fluctuation value, and if the fluctuation value exceeds the fluctuation range, determining that the scene is abnormal; if the fluctuation value does not exceed the limit, the deviation proportion is calculated, and if the deviation proportion exceeds a preset abnormity judgment coefficient, abnormity is judged; if the deviation proportion does not exceed the limit, finally judging the deviation proportion through an abnormal rule in a preset decision tree; abnormal data are eliminated, filtered data and basic data values thereof are obtained, and the adaptability and reliability of abnormal value detection are improved.

The invention discloses a distributed current limiting method, device and system and a storage medium. The method comprises the following steps: periodically generating and broadcasting a concurrent suggestion interval based on a local operation state; concurrence suggestion intervals generated by the service instance and from other service instances are received, intersection operation is carried out, a global feasible interval is obtained, the upper limit is the minimum value of the upper limits of all the concurrence suggestion intervals, and the lower limit is the maximum value of the lower limits of all the concurrence suggestion intervals; and determining a local current limiting threshold based on the global feasible interval and the local dynamic weight. Each service instance receives the concurrence suggestion interval and then performs intersection operation to determine the global feasible interval, so that the upper limit is monotonically not increased and cannot be exceeded, the security invariant constraint chain is obtained, a central coordinator or a global synchronous clock is not needed, and the global concurrence quantity does not exceed the security upper limit under any network condition; and determining a local current-limiting threshold value based on the global feasible interval and the local dynamic weight, and realizing refined and adaptive current-limiting management.

The embodiment of the invention provides a rotor temperature prediction method and device and driving equipment, and belongs to the technical field of motor monitoring, and the method comprises the steps: inputting the obtained real-time working parameters of a motor into a pre-constructed temperature prediction model, and obtaining a temperature prediction result of a rotor; wherein the temperature prediction result comprises the real-time prediction temperature, the upper limit value of the real-time prediction temperature and the lower limit value of the real-time prediction temperature, and a temperature interval formed by the upper limit value of the real-time prediction temperature and the lower limit value of the real-time prediction temperature is used for representing the confidence coefficient of the real-time prediction temperature. According to the rotor temperature prediction method provided by the embodiment of the invention, the real-time predicted temperature of the rotor and the upper limit value and the lower limit value of the real-time predicted temperature are obtained by inputting the motor real-time working parameters of the rotor into the temperature prediction model, and the confidence coefficient of the real-time predicted temperature is represented through the upper limit value and the lower limit value of the real-time predicted temperature. Therefore, the accuracy of rotor temperature prediction is improved, and misjudgment caused by rotor temperature prediction errors is avoided.

A heater power configuration method based on dual-objective collaborative optimization belongs to a heating optimization technology, and is characterized by comprising the following steps: firstly, establishing a three-dimensional geometric model of a heater; then performing grid division on the three-dimensional model, defining material attributes of each part and setting reasonable boundary conditions; determining a target temperature and a temperature uniformity index; constructing an optimization model which takes the target temperature as an optimization target function and takes the temperature uniformity as a constraint condition; determining an initial value range of the power density of the heater by using a parameterized scanning function; calling a parameter optimization module in the multi-physics field coupling simulation software, and carrying out iterative optimization on the power density parameter; after optimization calculation is completed, whether temperature uniformity meets set requirements or not is judged, if not, the upper limit and the lower limit of the power density are adjusted in combination with a simulation result, optimization is conducted again, and finally the optimal power parameter is output. Accurate configuration of the power of the heater is achieved, and the uniformity of a temperature field and the energy efficiency of the system are remarkably improved.

The invention belongs to an SDTW-IPAM-based short-term power load prediction method and system, electronic equipment and a storage medium. The method comprises the steps of data preprocessing, clustering analysis, single-class prediction model construction and future load prediction. The clustering analysis comprises setting of upper and lower limits of a cluster number, construction of a distance matrix, calculation of a Gap value and a standard error, selection of an optimal cluster number, generation of an initial center, clustering processing and normalization processing; according to the method, a distance measurement method is introduced into load clustering, so that the dynamic time sequence characteristics of a load curve can be described more accurately, the local time deformation of the load curve can be effectively identified, and the distinguishing capability of similar load days under the influence of weather, events or potential new energy fluctuation is improved; a clustering algorithm is improved by using statistics and an initialization strategy, so that the stability and the accuracy of performing mode recognition on complex load data are improved, and the load can be effectively divided into typical modes with different dynamic characteristics.

The invention discloses a refrigeration control method based on inverter compressor control, which relates to the technical field of refrigeration equipment control, and comprises the following steps: acquiring operation data of a refrigeration system according to a preset period, and extracting a thermal response characteristic representing a cooling rate attenuation acceleration by performing differential processing on an indoor temperature; and calculating a thermal rebound sensitivity characteristic by combining the frequency change gradient. A thermal inertia potential energy index representing the heat storage load of the enclosure structure is generated through time domain accumulation processing, a nonlinear drift modulation model is constructed accordingly, and a virtual set temperature and a dynamic frequency lower limit value are generated. And finally calculating a basic adjusting frequency based on the virtual set temperature, and selecting the maximum value of the basic adjusting frequency and the lower limit value of the dynamic frequency as a target driving frequency. Through cooperation of algorithm soft traction and physical hard lifting, the problem of overshoot oscillation in a complex thermal environment is solved, and temperature control stability and energy saving performance are improved.

An error rate measurement apparatus includes a provisional confidence level calculation unit that calculates a provisional confidence level CLx by using the sum x, an upper and lower limit value update unit that substitutes the sum x for the variable min_x in a case where the provisional confidence level CLx is equal to or lower than a target confidence level CLs, and substitutes the sum x for the variable max_x in a case where the provisional confidence level CLx is higher than the target confidence level CLs, and a measurement time calculation unit that calculates, in a case where changes in a value of the sum x calculated by the average value calculation unit are converged in a predetermined range, a value obtained by dividing the converged sum x by a product of a data rate and a target error rate ERs, as the measurement time.

The application relates to the field of photoetching technology, and particularly relates to a method and device for rapidly screening overlay mark manufacturability and computer equipment, which comprises the following steps: inputting preset range of process window conditions, selecting upper limit value and lower limit value as extreme process window conditions; calculating initial process variation bandwidth value based on the extreme process window conditions, and performing first screening on the initial process variation bandwidth value based on a preset screening ratio; calculating to-be-processed process window values corresponding to the screened process variation bandwidth values; performing second screening on the to-be-processed process window values based on a preset standard range to obtain final process window values; and screening the overlay marks corresponding to the final process window values. The application further provides a device and computer equipment. The problems of time and labor consumption in screening overlay mark manufacturability are solved.

The application discloses a method for determining the quality proportion of each grade based on the maximum utilization rate of cement gobi material, and belongs to the technical field of cement stabilized base. Firstly, the aggregate with a particle size greater than the maximum screen hole of a target grading is removed from the original gobi material, and the passing rate is normalized. According to the particle size from small to large, when the normalized passing rate B a of the first determined screen hole p a is not within the range of the set upper limit and the set lower limit of the passing rate, the first grade is set. The passing rate of each screen hole is corrected. According to the particle size from small to large, when the once corrected passing rate B b of the first determined screen hole p b修正1 is not within the range of the set upper limit and the set lower limit of the passing rate, the second grade is set. The passing rate of each screen hole is corrected. The grading is continued or stopped. The quality proportion of each grade is determined. The application can quickly determine the grading screen hole size with the maximum utilization rate of gobi material and the quality proportion of each grade under the condition that the specification requirements of the mixture grading are met.

The embodiment of the invention discloses an electric leakage detection method, device and equipment, a medium and a program product. Comprising the steps of obtaining a to-be-processed signal in an electric leakage judgment period; according to the to-be-processed signal, waveform peak points in the electric leakage determination period and peak left edge points corresponding to the waveform peak points are determined; determining every two adjacent peak left edge points as a peak left edge point group, and counting the total sampling number and the trough sampling number corresponding to each peak left edge point group; according to each total sampling number, each trough sampling number, a preset correction wave period sampling number lower limit value, a preset correction wave period sampling number upper limit value and a preset trough sampling number threshold value, determining a leakage waveform from correction waveforms corresponding to each peak left edge point group; and determining an electric leakage detection result according to the distribution condition of each electric leakage waveform in the electric leakage judgment period. The complexity and the data operand of a circuit required by electric leakage detection are reduced, and the stability and the universality of electric leakage detection are improved.

The present application belongs to the field of cold-rolled strip steel, and particularly relates to a method for dynamically setting bending roll force in a cold-rolled strip passing process, which comprises the number N of racks, upper and lower limits of the bending roll force of the i-th rack, dividing the strip passing process into n sections according to time, collecting the strip passing speed v of the i-th rack in the j-th section ij , dividing the bending roll force of each rack into m sections according to an adjustable area, collecting the shape value L calculated by a virtual shape meter on site ijk , calculating a shape evaluation function and a shape target function, setting an optimal bending roll force value S i0 , collecting the shape distribution value l calculated by the virtual shape meter on site ijk , calculating a shape evaluation function and a shape target function, setting an optimal bending roll force value S 0ij , establishing a function corresponding to the optimal bending roll force S 0ij and the strip passing speed v ij , and solving function coefficients a i1 , a i2 . The method for dynamically setting the bending roll force in the cold-rolled strip passing process can accurately control the dynamic setting of the bending roll force of the cold-rolled strip steel in the strip passing process, improve the strip passing shape, and reduce the rolling fluctuation caused by the shape defects.

This invention provides a method, apparatus, and electronic device for generating a sub-Brønsted bar frequency control scheme, relating to the field of power system technology. The method for generating the sub-Brønsted bar frequency control scheme includes: processing the inverse cumulative distribution function in the uncertainty set and the first frequency security constraint using a Gaussian mixture model and Wasserstein distance to obtain the lower limit value of the first frequency security constraint; substituting the lower limit value of the first frequency security constraint into the first frequency security constraint to obtain the second frequency security constraint; and solving the objective function based on the dynamic equation of the target power grid frequency and the second frequency security constraint to obtain the target control measure quantity that minimizes the control measure cost of the target power grid. This invention can provide an efficient, accurate, and highly adaptable emergency frequency control scheme to perceive the power grid status in real time, quickly respond to various disturbances and faults, and effectively coordinate various frequency regulation resources to ensure the frequency security of the power grid.

The invention belongs to a price determination method, and provides a method for determining upper and lower limits of contract price fluctuation of a power market and a related device, aiming at the technical problems that a price limit mechanism for setting fixed upper and lower limits of prices is adopted in the current power transaction, a price discovery suppression function exists, and violent price swing within a day cannot be effectively coped with. Calculating a positive excess sample and / or a negative excess sample, then taking the positive excess sample and / or the negative excess sample as input, and obtaining a morphological parameter and a scale parameter when a log-likelihood value of the positive excess sample and / or a log-likelihood value of the negative excess sample converges through generalized Pareto distribution iterative calculation; and finally, positive tail risk measurement index expected loss and / or negative tail risk measurement index expected loss are / is obtained through calculation and serve as an upper limit and a lower limit of contract price fluctuation of the electricity market. And the technical problem of violent price swing within the day can be effectively solved.

The application discloses a kind of generator set equipment health degree index comprehensive evaluation method and system.The technical scheme for using in the application is: with the historical data of all state variables of the same equipment as input, using the method of clustering, classify the data, and filter out the working state of different classes of equipment;Each class of working state obtained by clustering establishes a rule base to score or deduct each variable;Determine how many variable scores by judging which class of working state the data belongs to at a certain time and whether it exceeds the upper and lower limits of each rule;Output the importance of each variable and determine the weight of each variable in health degree fusion by combining the preset health degree weight coefficient;Through variable score, and combining the weight of each variable in health degree fusion, weighted summation is obtained to obtain the equipment health degree index score, and a hard rule for increasing or decreasing the equipment health degree index score is added.The application can accurately grasp the real-time running state of the equipment.

The disclosed vehicle control device (10) is provided with: a sum model (M1) in which the motion states of a left drive system and a right drive system during straight movement are modeled; a difference model (M2) in which the motion states of the left drive system and the right drive system during turning are modeled; a calculation unit (11); a restriction unit (12); a calculation unit (11) calculates a sum mode target slip rate (yS) and a difference mode target slip rate (yD). A restriction unit (12) sets upper limit values (ySH, yDH) and lower limit values (ySL, yDL) for the sum-mode target slip ratio (yS) and the difference-mode target slip ratio (yD), respectively, and restricts the target slip ratios (yS, yD). The control unit (13) controls the respective driving forces of the left drive system and the right drive system on the basis of the sum mode target slip rate (yS) and the difference mode target slip rate (yD) that have been limited, the sum model (M1), and the difference model (M2).

The invention discloses a modulation method and circuit of an LLC conversion circuit, and electronic equipment, and is applied to charge modulation of a resonant conversion circuit, and the modulation method comprises the steps: obtaining the power supply output of the resonant conversion circuit; obtaining an output control signal by using an error signal between the power supply output and a target reference signal; generating a drive control signal using the output control signal; detecting whether the output control signal is in a dynamic threshold interval; wherein the second comparison threshold value of the lower limit value of the dynamic threshold value interval is in negative correlation with the output control signal; in response to the fact that the output control signal is smaller than the second comparison threshold value, carrying out wave sealing on the driving control signal until the output control signal is larger than the first comparison threshold value; and the driving control signal is sent to the resonant conversion circuit to adjust the power supply output. Through the mode, the modulation method of the LLC conversion circuit can realize full-load adaptive control through the dynamic hysteresis threshold value and a natural wave stopping mechanism, and the requirement of stability in a full-load range is effectively met.

The application provides a complaint early warning threshold determination method and device, electronic equipment and a storage medium, comprising: determining a complaint amount reference value of each dotting according to historical complaint amount data, performing interval division on a complaint amount reference value interval, determining upper and lower limits of an early warning threshold of a reference value subinterval, and generating complaint early warning information according to a comparison result of a real-time complaint amount and the upper and lower limits of the early warning threshold of a target reference value subinterval in which the real-time complaint amount is located. The application fully considers the difference of complaint amount reference values in each period, performs interval division on the complaint amount reference interval in an indefinite section according to historical complaint amount data, and then determines whether the complaint amount of the current dotting is normal according to the upper and lower limits of the early warning threshold of each reference value subinterval. Since the complaint amount reference value interval is analyzed in a more fine-grained manner, the clustering analysis effect of the complaint amount reference value is greatly improved, and the accuracy of complaint early warning is effectively improved.

A proximity deciding device includes: a capacitive sensor electrode covered with a cover having a manipulation surface; a measurement circuit that measures capacitance between the capacitive sensor electrode and an indicating body; a proximity deciding unit that makes a decision as to whether a proximity state is in progress according to a difference obtained by subtracting a reference value from the capacitance; and a correcting unit that corrects the reference value. The correcting unit stores, in a storage unit, a lower limit, for accumulated inputs, based on the reference value before the proximity state; calculates, in the proximity state, a cumulative value for a change of the capacitance; updates the reference value according to a cumulative input value (cumulative value or lower limit); and sets the cumulative input value to the cumulative value or lower limit according to whether the cumulative value is larger or smaller than the lower limit.

To provide a position and force control device that can prevent deterioration of position tracking performance even when a limit value of a contact force allowed for contact with a control object is small and when the error between a position command value and a position response value is large.SOLUTION: A position and force control device 1 includes a position controller 2, a saturation compensator 3, and a force controller 4. When a control object is in contact with an environment 6 (Ksw=0) and an allowable upper limit value (fcmd) or an allowable lower limit value (-fcmd) of a contact force at which the control object comes into contact with the environment 6 is a force reference value frefp or less or more, the saturation compensator 3 outputs a limit value that limits the force reference value to the upper limit value or the lower limit value as a force demand value fref. When the control object is in contact with the environment 6 (Ksw=0) and the force reference value does not exceed or fall below the upper limit value or the lower limit value, or when the control object is not in contact with the environment 6 (Ksw=1), the saturation compensator 3 outputs the force reference value as the force demand value.SELECTED DRAWING: Figure 1

The application discloses a code rate control method for inhibiting super-large I frame. According to the coding state of a current video sequence, the upper limit value of the coding bit number of the I frame which will not cause code rate control abnormality is calculated. According to the actual coding bit number, the quantization parameter and the intra-frame coding complexity of the previous coded I frame, in combination with the upper limit value of the coding bit number and the intra-frame coding complexity of the to-be-coded I frame, the lower limit value of the quantization parameter of the to-be-coded I frame is calculated. According to the quantization parameter of the previous coded P frame or B frame, the quantization parameter of the to-be-coded I frame which has inhibiting effect on the breathing effect is calculated. The larger value of the lower limit value of the quantization parameter of the to-be-coded I frame and the quantization parameter of the to-be-coded I frame which has inhibiting effect on the breathing effect is selected as the quantization parameter of the to-be-coded I frame, which is used in the actual coding process of the to-be-coded I frame. The application takes the video frame level quantization parameter as the operation core of the code rate control algorithm, which is more suitable for hardware implementation.

This invention belongs to the technical field of precision roll-to-roll manufacturing, specifically relating to a multi-level control method for the lateral sway of an ultrathin film in a roll-to-roll system. The method includes: setting up multi-level lateral correction units arranged sequentially along the running direction of the ultrathin film strip on the roll-to-roll system; real-time acquisition of lateral sway data at each level; and executing multi-level control of the ultrathin film lateral sway. The structure and control parameters of the fine-tuning correction unit satisfy the following: correcting the lateral position of the strip relative to the target position with a preset small stroke amplitude sway component; the structure and control parameters of the coarse-tuning correction unit satisfy the following: correcting the lateral position of the strip relative to the target position with a preset large stroke amplitude sway component; the lower limit of the small stroke amplitude is less than the target processing range, and the upper limit of the small stroke amplitude is greater than the lower limit of the large stroke amplitude. This invention can improve the processing accuracy of the processing area in the roll-to-roll manufacturing system, ensuring the overall stability of the system and the quality of the finished product.

The application provides a power control method and device, electronic equipment and a storage medium, wherein the method comprises: in the case of determining that a target motor is in normal operation, obtaining a target running speed of the target motor; determining a target interval in which the target running speed is located, obtaining an upper limit value and a lower limit value of the target interval; comparing the upper limit value of the target interval with the lower limit value of the target interval to obtain a first comparison result, and comparing the upper limit value of the target interval with an upper limit value of a reference interval to obtain a second comparison result, wherein the reference interval is another set interval except the target interval, and the lower limit value of the target interval is greater than or equal to the upper limit value of the reference interval; and adjusting the running power of the target motor according to the first comparison result and the second comparison result. Through the application, the problem that the motor performance cannot be maintained at a high performance condition when the motor is controlled at a constant power in the related art is solved.

This invention discloses a method and apparatus for processing vehicle-to-everything (V2X) data, relating to the field of data processing technology. Its main objective is to reduce the probability of abnormal V2X data occurrence while simultaneously reducing the volume of V2X data. The main technical solution includes: acquiring a V2X dataset containing multiple V2X data entries, each with a corresponding timestamp and target vehicle parameter values; processing the V2X dataset using a quartile algorithm to obtain upper and lower limit parameter values ​​for the target vehicle parameters; filtering the V2X data in the dataset based on the upper and lower limit parameter values ​​to form a target dataset; and sampling the target dataset based on the sampling quantity, sampling time interval, target vehicle parameter data type, and the timestamps and parameter values ​​corresponding to all V2X data entries in the target dataset.

The invention relates to an annealing optimization algorithm during impeller parameter sensitivity analysis and response surface mismatch. The algorithm specifically comprises the following steps: 1) analyzing the sensitivity of impeller parameter change to compressor performance change; 2) analyzing the construction reliability of the impeller optimization response surface; 3) an annealing algorithm optimization method of impeller parameters; s11, determining geometric characteristic parameters of the centrifugal compressor impeller to be optimized, and constructing a parameterized model; s12, determining output parameters of the optimized impeller; s13, determining the upper and lower limits of the optimization process of the geometric characteristic parameters of the centrifugal compressor impeller to be optimized; s14, constructing a sensitivity analysis test sample, and adopting Box-Behnken design to construct the sensitivity analysis test sample; and S15, impeller parameter sensitivity analysis. And S16, establishing an upper and lower limit interval different from the traditional input variable in S13. On the premise that professional knowledge needs in the impeller design and optimization process are not increased as much as possible, the method for extracting effective design variables, avoiding blind optimization, improving calculation efficiency and improving optimization logic reliability is provided.