Carding machine intelligent control method and device based on online carding force

Abstract

The invention relates to a carding machine intelligent control method and device based on online carding force. The method includes: testing the real-time carding force of a carding machine in an online manner, and comparing the real-time carding force with real-time theoretical standard carding force; when the absolution value of the difference between the real-time carding force of the carding machine and the real-time theoretical carding force is larger than a threshold in a continuous period of time, controlling the carding machine to stop, or else mainlining the original operation state of the carding machine so as to achieve intelligent control. The device comprises a cylinder, a main motor, a power detecting device, an analog / data converter chip, a CPU operation processor and stop control mechanism, wherein the main motor is connected with the cylinder, the power detecting device is connected with the main motor and the analog / data converter chip through wires, and the CPU operation processor is connected with the analog / data converter chip and the stop control mechanism. The carding machine intelligent control method and device has the advantages that the online testing technology is used to achieve the real-time monitoring and feedback of the carding machine, production efficiency is increased, production cost is lowered, and the method and device is promising in application prospect.

Description

technical field [0001] The invention belongs to the field of online carding force control, and relates to an intelligent control method and device for a carding machine based on the online carding force. Background technique [0002] Metal card clothing is the core component of the carding machine. During the carding process, the state change of the metal card clothing in a service cycle will directly affect the carding effect of the carding machine. In daily production, people often use the detection method of metal card clothing to control the carding process of the carding machine and improve its carding effect. The detection of card clothing generally occurs in the following two processes: (1) in the production of card clothing Detect it during the process; (2) Detect it during the use of the card clothing. Most of the existing technologies for detecting card clothing during the production process use optical technology as the technical basis to improve the quality of t...

AI Technical Summary

Problems solved by technology

Most of the existing technologies for detecting card clothing during the production process use optical technology as the technical basis to improve the quality of the card clothing produced, thereby ensuring the carding effect during carding. For example, patent ZL200820237541.6 uses a camera Image detection on the card clothing on the punching and quenching line to achieve the purpose of quality inspection; patent ZL201120239523.3 realizes no breakpoint joints in the production process of the entire roll of card clothing by performing quenching hardness testing on the metal card clothing punching and quenching line, so that The metal card clothing has good consistency, stability and integrity, but the above method can only guarantee the quality of the metal card clothing before carding. During the carding process of the carding machine, the metal card clothing is often worn. The carding effect of the cotton machine will decrease, and the above method cannot continuously and effectively guarantee the carding effect of the carding machine

There are two ways to detect card clothing during use: direct and indirect methods: the direct method needs to dismantle the machine to subjectively sense the sharpness and uniformity of the card clothing wrapped on the surface of the cylinder or licker-in roller, and stop the machine when testing The production is interrupted, and the human factors in the test results are relatively large; the indirect method reflects the use status of the card clothing through regular sampling and testing of the raw sliver. The representativeness of the sample is not high and the fault response is lagging behind, so that a large number of unqualified raw sliver flows into the next process

In addition, because the carding area of ​​the carding machine has a small and relatively closed spacing, the detection of the use status of the card clothing has not yet been realized through online detection.

At present, the intelligent control method of the carding machine is mainly the intelligent control of the autoleveling process of the carding machine, and the intelligent control method of the carding machine based on the service cycle of the metal card clothing has not yet appeared.

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