Adaptive control method of sizing unit based on artificial intelligence
An adaptive control and artificial intelligence technology, applied in temperature control, control/regulation system, non-electric variable control, etc., can solve the problems of manual parameter adjustment and difficulty in optimizing the overall efficiency of the unit, and achieve the effect of stable control
Active Publication Date: 2022-04-19
海门市芳华纺织有限公司
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Problems solved by technology
However, the use of a large number of single-thread sizing machines leads to the problem of excessive difficulty in manual parameter adjustment, and it is difficult to optimize the overall efficiency of the unit
Method used
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[0042] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the scheme according to the present invention, its specific implementation, structure, characteristics and effects will be described in detail below in conjunction with the accompanying drawings and preferred embodiments as follows. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.
[0043] Taking the drying barrel of a specific single yarn sizing machine as an example, the embodiment of the self-adaptive control method of the sizing unit based on artificial intelligence of the present invention is specifically introduced:
[0044] Such as figure 1 As shown, it is a schematic diagram of the structure of the drying barrel. The drying barrel is a hollow hexagonal prism structure. The cylindrical contact of...
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The invention relates to an artificial intelligence-based adaptive control method for a sizing unit, which obtains the temperature change difference between adjacent yarns and obtains the boundary between the wet zone and the dry zone of the yarn by acquiring the temperature of different turns of yarn on a drying barrel position, determine the extrusion strength of the corresponding yarn at the boundary position under different power of the drying barrel, and obtain the drying program including the extrusion strength, drying barrel power, temperature change difference, and temperature change coefficient; evaluate each drying program, The efficiency factor of the corresponding drying program is obtained; the Pearson correlation coefficient is calculated according to the temperature change proportional coefficient, and the similarity of different drying programs is determined; according to the similarity, the drying program is assigned to obtain the program group; according to the multi-machine consistency The program group is optimized to obtain the optimal program, and the drying program of the optimal program is used to control the sizing machine. That is, the solution of the present invention can control the sizing machine in real time to avoid uneven moisture regain of the yarn.
Description
technical field [0001] The invention relates to the field of sizing machines, in particular to an artificial intelligence-based adaptive control method for sizing machines. Background technique [0002] The sizing machine is an important equipment used for sizing the yarn in textile weaving. The sizing of the yarn can improve the weavability, and has the advantages of good hairiness, less broken ends, and high weaving efficiency. [0003] Yarn moisture regain is one of the key indicators in yarn technology. Among them, when the moisture regain of the yarn is too low, the size film will become brittle, and the sizing is prone to brittle breakage, and the size film is easily scraped off, causing the yarn to fluff and break, which will cause weaving difficulties; High, poor abrasion resistance of sizing, sticky sizing film, easy to stick together yarns, so that the opening of the loom is unclear, and it is easy to produce defective fabrics such as jumping flowers and bead nets...
Claims
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IPC IPC(8): G05D23/20F26B25/00
CPCG05D23/20F26B25/00
Inventor 张艳红
Owner 海门市芳华纺织有限公司