11 results about "Reduction rate" patented technology

This steering control device is configured to execute offset amount calculation processing, offset compensation processing, and offset reduction processing. The offset amount calculation processing is processing for calculating an offset amount which is a difference equivalent amount between a target turning equivalent angle and an actual turning equivalent angle with satisfaction of a predetermined condition as a trigger. The offset compensation processing is processing for correcting the target turning equivalent angle by an offset correction amount corresponding to the offset amount. The predetermined condition includes a plurality of types of conditions. The offset amount calculation processing and the offset compensation processing are provided separately for each of the plurality of types of conditions. The offset reduction processing is processing for reducing the magnitude of the offset correction amount, and when two or more mutually different offset compensation processing instances are executed, includes cooperative processing for cooperatively setting a reduction rate of the offset correction amount used in the two or more offset compensation processing instances.

This steering control device is configured to execute offset amount calculation processing, offset compensation processing, and offset reduction processing. The offset amount calculation processing is processing for calculating an offset amount which is a difference equivalent amount between a target turning equivalent angle and an actual turning equivalent angle. The offset compensation processing is processing for correcting the target turning equivalent angle by an offset correction amount corresponding to the offset amount. The offset reduction processing is for reducing the magnitude of the offset correction amount, and is processing for, when the magnitude of the offset correction amount is reduced to a predetermined value or less, changing a reduction rate according to the magnitude of the offset correction amount, under a condition in which the reduction rate of the magnitude of the offset amount when the magnitude of the offset correction amount is large is equal to or greater than the reduction rate when the magnitude of the offset correction amount is small.

The present application provides a low thinning rate bending forming method, comprising the following steps: a hydraulic local expansion step, placing a straight pipe in a hydraulic thickening die and controlling the hydraulic thickening die to operate to form an expansion deformation of a target area of the straight pipe and ensure that the minimum wall thickness t1 after the expansion deformation is not less than the initial pipe wall thickness t0 of the straight pipe, the target area being a corresponding area of an outer wall of the straight pipe to be bent and formed; and a bending forming step, placing the expansion-deformed straight pipe in a numerical control bending die and controlling the numerical control bending die to operate to bend and thin the target area until the straight pipe is bent to a target bending radius. The present application only needs to perform expansion deformation on the target area of the straight pipe, the pipe quality is small, the material cost is low, and the working condition demand of small bending radius and low thinning rate is met, and the product quality and service performance are improved.

The invention discloses a data processing method, device and equipment and a computer readable storage medium, and belongs to the technical field of computers. In the method, a characteristic value of first data is obtained, and the characteristic value represents a compression rate or a deduplication rate of the first data. And then, determining the range of the slice length according to the characteristic value, and slicing the first data according to the range of the slice length to obtain the sliced data. And then, performing at least one of deduplication or compression on the sliced data to obtain processed data. Wherein the characteristic value reflects the characteristics of the first data, the range of the slice length determined on the basis of the characteristic value is relatively accurate, and after slicing is executed according to the range of the slice length, the sliced data can have a relatively appropriate length, so that after at least one of deduplication or compression is executed on the sliced data, the data can be subjected to re-deletion and compression, and the data can be subjected to re-deletion and compression. And the obtained processed data has a relatively high reduction rate.

The simulation device (800) of the present application includes a simulation unit (803) that performs simulation of movement of a plurality of moving bodies on a route; a storage unit (802) that stores a predicted reduction rate as an index of temporal change in the degree of congestion of the plurality of moving bodies on the route; a first calculation unit (805) that calculates the degree of congestion of the plurality of moving bodies on the route based on the simulation result; and a second calculation unit (806) that calculates an index of temporal change in the degree of congestion calculated by the first calculation unit. An appropriate reduction rate can be set so that the predicted reduction rate of the degree of congestion used as input for the simulation is equal to the reduction rate of the degree of congestion in the simulation result.

The invention provides a method and system for generating a geometric shape of a spinning pre-forming bus of a curved surface component, and the method comprises the steps: S1, selecting a wall thickness reduction rate psi t and a standard equivalent strain epsilonangle according to a task target; s2, determining the three-dimensional strain of a material unit according to the wall thickness reduction rate psi t and the standard equivalent strain epsilongnorm by taking the geometric shape of the bus of the final forming die as a reference; the three-direction strain comprises strain epsilon 1 in the thickness direction, strain epsilon 2 in the bus direction and strain epsilon 3 in the loop direction; s3, on the basis of the three-dimensional strain of the material unit, the shape and position of the corresponding preform material unit are obtained through calculation; and S4, based on the shape and the position of the preformed piece material unit, generating the geometric shape of the spinning preformed generatrix of the curved surface component. The shape and the position of the material unit of the corresponding preform are calculated according to the three-dimensional strain of the material unit, and a reference basis is provided for the geometric shape design of the preform mold.

The invention provides a rolling schedule optimization method and device and electronic equipment, and relates to the technical field of rolling process.The method comprises the steps that n set outlet temperatures corresponding to n racks are determined according to the target temperature of target strip steel in production process parameters; according to the set outlet temperature of the nth rack, a first target reduction rate of the nth rack is determined through a first model; and for the ith rack, determining a second initial reduction rate of the rack according to the first target reduction rate, determining an initial outlet temperature corresponding to the ith rack according to the second initial reduction rate through a second model, and if a temperature difference between the initial outlet temperature and a set outlet temperature is smaller than a preset temperature difference, determining that the rack is the ith rack. Taking the second initial reduction rate as a second target reduction rate corresponding to the rack; and according to the first target reduction rate and the (n-m) second target reduction rates, determining a third target reduction rate of the remaining racks.

This invention discloses a method, system, and cold-hardened strip steel with a sheet shape stability of 0.1*1500mm. The method includes: modifying the roll profile and rolling passes of the single stand based on the sheet shape defects formed after the test product is rolled on a single stand; adjusting the reduction rate of each pass based on the sheet shape defects and rolling parameters of the test product; and after determining the reduction rate of the last pass, proportionally reducing the reduction rate of each preceding pass; when the test product has curled or wrinkled sheet shape defects, measuring and adjusting the levelness of the roll mandrel to keep it below a set levelness threshold; and when the levelness of the roll mandrel is kept below the set levelness threshold, rolling the target product according to the modified roll profile, rolling passes, and reduction rate to obtain the cold-hardened strip steel with an extreme thinness of 0.1*1500mm.

This application provides a data processing method, apparatus, web client device, storage medium, and computer program product. The method includes: starting a first predetermined number of task threads by a main thread, and assigning the first predetermined number of tasks to be executed in a task group to the first predetermined number of task threads for execution, thereby obtaining a first execution completion time; performing a first operation and a second operation by the main thread to obtain a second execution completion time; re-executing the first operation and the second operation if the reduction rate of the execution completion time is greater than or equal to a predetermined threshold; and / or repeating the second operation if the reduction rate of the execution completion time is less than the predetermined threshold, until all tasks to be executed in the task group are completed.

The application discloses a cold-rolled strip surface quality control method, device, medium and electronic equipment. The method comprises the following steps: acquiring the rolling speed of a fourth rack, judging the rolling speed, and the fourth rack is used for finish rolling of the cold-rolled strip; if the rolling speed of the fourth rack is greater than the expected speed, reducing the corresponding reduction rates of a first rack, a second rack and a third rack, and increasing the corresponding reduction rate of a fifth rack, the first rack, the second rack and the third rack are used for rough rolling of the cold-rolled strip, and the fifth rack is used for rough rolling of the cold-rolled strip; after reducing the corresponding reduction rates of the first rack, the second rack and the third rack and increasing the corresponding reduction rate of the fifth rack, adjusting the corresponding reduction rate of the fourth rack to improve the surface quality of the cold-rolled strip. The technical scheme provided by the application can improve the surface quality of the cold-rolled strip.

The invention relates to the technical field of pipeline transportation, and particularly discloses a method for predicting the drag reduction rate and the transportation increasing rate of a pipeline and related equipment, and the method comprises the steps: obtaining a target parameter; the target parameter comprises at least one of a pipeline parameter, an operation parameter and an environment parameter; and inputting the target parameters into a pre-trained target algorithm model to obtain the drag reduction rate and the transportation increasing rate of the pipeline. Therefore, in the actual production process of the pipeline, prediction results for the drag reduction rate and the transportation increasing rate of the pipeline can be obtained more quickly through the target algorithm model, and meanwhile it can be guaranteed that the accuracy of the prediction results is high.