9results about "Length control device" patented technology

This application relates to the field of rebar rolling technology, disclosing a method, apparatus, medium, and electronic equipment for reducing rebar cutting loss. The method includes: obtaining a first length of a steel billet and a second length of a rebar, the rebar being rolled from the steel billet using a rolling mill; determining a conversion factor for the steel billet and the rebar based on the first and second lengths, the conversion factor being used to characterize the proportional relationship between the length of the steel billet and the length of the rebar; obtaining a fixed length, the fixed length being the length of the target finished rebar; determining a multiple-length shearing length based on the fixed length, the multiple-length shearing length being a specific length required for shearing the target rebar using a multiple-length flying shear located after the rolling mill; determining the length of the target rebar based on the multiple-length shearing length; and determining the length of the target steel billet based on the length of the target rebar and the conversion factor. The technical solution proposed in this application can significantly reduce rebar cutting loss and improve the efficiency of bar production lines.

The invention provides a high-strength steel uncoiling residual length calculation method and system.The method comprises the steps that S1, whether strip steel is high-strength steel or not is judged, and if yes, the step S2 is executed; if not, calculating the residual length of the strip steel on the uncoiling machine through the coiling diameter; s2, whether the strip steel meets the residual length range or not is judged, and if yes, the residual length range of the strip steel is calculated through a residual length algorithm; and if not, calculating the residual length of the strip steel on the uncoiling machine through the coiling diameter. According to the uncoiling residual length calculation method provided by the invention, the deviation caused by residual length calculation when the high-strength steel is uncoiled at the tail part is effectively reduced, and a belt escape accident is avoided.

Embodiments of the present invention provide a method, apparatus, controller, and storage medium for controlling the first cut length of a flying shear head. The method includes: calculating a forward slip coefficient based on the finishing mill linear speed, a first distance, a first time T1, and a second time T2; calculating the time T from the head of the rolled piece to the flying shear based on the forward slip coefficient, the finishing mill linear speed, and the second distance; calculating the speed of the rolled piece based on the first time T1, the second time T2, and the first distance; determining flying shear parameter information; calculating the first cut length of the flying shear based on the flying shear parameter information, time T, and the speed of the rolled piece; comparing the first cut length with a target length; and adjusting the rotational linear speed of the flying shear based on the comparison result to control the first cut length of the flying shear head. By controlling the first cut length of the flying shear head based on the operating parameters of each component of the finishing mill system, the probability of production accidents is reduced.

a process controller configured to control a manufacturing process of the cold-rolled steel sheet in accordance with the process data of the programmable logic controller; a model generation unit configured to learn a learning dataset in advance and generate a prediction model for predicting a material quality in the width direction of the cold-rolled steel sheet to be produced; and a production management system configured to transmit and receive information to and from the process controller, receive a predicted value of the prediction model of the model generation unit, and manage the production of the cold-rolled steel sheet. A method for generating a material quality prediction model of the cold-rolled steel sheet according to the embodiment of the present invention includes the steps of: generating a learning dataset by the model generation unit; and training a preset model on the learning dataset to generate a prediction model for predicting a material quality in the width direction of the cold-rolled steel sheet. The plurality of data included in the learning dataset include hot-rolling process data from the process data provided by the programmable logic controller, material quality data and component data provided by the production management system, and data mapping measurement positions between cold-rolling and annealing process data from the process data provided by the programmable logic controller. The process data provided by the programmable logic controller may be process data of the produced cold-rolled steel sheet obtained in advance by a sensor.

The invention relates to the technical field of metal rolling processes, in particular to a hot-rolled ribbed steel bar preparation method and a longitudinal rib small size defect control method of the hot-rolled ribbed steel bar. The temperature of the soaking section and the rotating speed of the previous rack are adjusted by comparing the actual forward slip value with the theoretical forward slip value; the preparation method comprises the following steps: performing three-section heating on a continuous casting billet, configuring a rack, performing rolling processes of rough rolling, intermediate rolling and finish rolling, controlling a forward slip value within a preset range by adjusting the heating temperature of a soaking section or the rotating speed of the rack, and finally performing cooling and finished product detection. According to the preparation method of the hot-rolled ribbed steel bar and the longitudinal rib size small defect control method of the hot-rolled ribbed steel bar, the average occurrence rate of the longitudinal rib size small defect of the steel bar is reduced to 0.01% from 0.3% before optimization, and the tensile strength, the yield strength and the percentage elongation after fracture of all test batches all meet the standard requirements.

The invention provides a method for online prediction of wall thickness and dynamic optimization of saw cutting amount after sizing of a hot-rolled seamless steel pipe, and relates to the technical field of mechanical automation control. The method comprises the following steps: acquiring online thickness measurement data of a pierced billet, production process parameters of a steel pipe, equipment parameters of a sizing mill and actually measured wall thickness data of a plurality of finished pipes; based on the actually measured wall thickness data, a fitting function coefficient of an actually measured finished pipe head and tail wall thickness change curve is obtained; derivation features are calculated; establishing a coefficient regression model of the wall thickness prediction function, and forming a wall thickness prediction model and a saw cutting amount prediction strategy which can be used for unknown incoming materials; and executing a mother pipe cutting optimization strategy in combination with different sizing modes, and outputting a corresponding sawing scheme and a material utilization rate evaluation result. The method solves the problems that the wall thickness of the steel pipe fluctuates non-linearly in the length direction after the sizing process, and IMS thickness measurement data cannot directly reflect the wall thickness distribution of the finished pipe.

A bar direct rolling full-multiple-length closed-loop control method comprises the steps that after a bar direct rolling production line starts production, direct rolling comprehensive data are collected in real time, and the direct rolling comprehensive data comprise tailing data; after it is determined that the bar direct rolling production line operates stably based on the direct rolling data, waste data are calculated based on the tailing data; generating feedback control data based on the waste data, wherein the feedback control data comprises fixed-length correction data and steel billet correction data; and the bar direct rolling production line is adjusted in real time based on the fixed-length correction data and the steel billet correction data. The invention provides a bar direct rolling full-multiple-length closed-loop control method and a closed-loop control system, which can realize full-flow closed-loop adjustment of a full-multiple-length direct rolling process, improve the yield and reduce the waste steel loss.

A construction method of an abnormality diagnosis model of a process for sequentially treating a metal material in a plurality of facilities, the construction method includes: creating a first abnormality diagnosis model that learns a relationship between measured values at a same time and an abnormality by using the measured values measured at the same time in a predetermined measurement cycle determined in advance for the plurality of facilities; and creating a second abnormality diagnosis model that learns a relationship between measured values at a same position and an abnormality by using the measured values at the same position of the metal material obtained by compiling the measured values measured in the plurality of facilities for each position of the metal material.

The invention discloses an upper cooling bed multiple-length adjusting method and device and a storage medium, and belongs to the technical field of cooling bed multiple-length calculation. The calculation method comprises the steps that the number of brake plates, the length of the brake plates and the cold shrinkage rate are obtained, and the actual multiple-length length is calculated according to the number of the brake plates, the length of the brake plates and the cold shrinkage rate; dividing the actual double-length length by the fixed-length length, and taking an integer downwards to obtain a segment number; calculating a residual margin according to the actual double-length length, the fixed-length length and the segment number; cutting processes are obtained, and allowance threshold values are obtained according to the different cutting processes; and comparing the residual allowance with an allowance threshold value, judging whether the current multi-length actual length meets the cutting process requirement or not according to a comparison result, and generating a multi-length adjustment strategy. According to the method, the problem that the section length of the bar rolling line double-length shear is not accurate can be solved, and the yield and the sizing precision are improved.