Yarn spindle quality control method based on knowledge graph, electronic device, and storage medium

An electronic device, comprising:

• at least one processor;
• and
• a memory connected in communication with the at least one processor;
• wherein the memory stores an instruction executable by the at least one processor, and the instruction, when executed by the at least one processor, enables the at least one processor to execute:
• enabling a detection device to detect a plurality of yarn spindles, to obtain a first quality inspection result of the plurality of yarn spindles;
• enabling a yarn spindle quality control apparatus to determine whether there is an abnormal parameter in a second production parameter and/or a second process parameter of a group of yarn spindles, based on a second quality inspection result of the group of yarn spindles, comprising:
• determining that the second quality inspection result of the group of yarn spindles is abnormal;
• determining whether the second production parameter and/or the second process parameter of the group of yarn spindles is in a normal parameter range based on the knowledge graph for yarn spindle production and management;
• and
• obtaining the abnormal parameter which is not in the normal parameter range from the second production parameter and/or the second process parameter of the group of yarn spindles;
• wherein the group of yarn spindles is all or part of the plurality of yarn spindles, and the group of yarn spindles comprises a set of yarn spindles with a same batch number;
• wherein each of the first quality inspection result and the second quality inspection result at least comprises a dye free color judgment result obtained by analyzing a Raman spectrum graph of chemical fibers, and the dye free color judgment result includes a prediction result on dyeing uniformity of a yarn spindle obtained based on spectral detection before spinning and dyeing the yarn spindle;
• enabling the yarn spindle quality control apparatus to search an adjustment manner corresponding to the second production parameter and/or the second process parameter from a knowledge graph for yarn spindle production and management, in a case where there is the abnormal parameter;
• wherein the knowledge graph includes a normal parameter range;
• and
• enabling the yarn spindle quality control apparatus to send the adjustment manner corresponding to the second production parameter and/or the second process parameter to a related device of the group of yarn spindles.

A non-transitory computer-readable storage medium storing a computer instruction thereon, wherein the computer instruction is used to cause a computer to execute:

• enabling a detection device to detect a plurality of yarn spindles, to obtain a first quality inspection result of the plurality of yarn spindles;
• enabling a yarn spindle quality control apparatus to determine whether there is an abnormal parameter in a second production parameter and/or a second process parameter of a group of yarn spindles, based on a second quality inspection result of the group of yarn spindles, comprising:
• determining that the second quality inspection result of the group of yarn spindles is abnormal;
• determining whether the second production parameter and/or the second process parameter of the group of yarn spindles is in a normal parameter range based on the knowledge graph for yarn spindle production and management;
• and
• obtaining the abnormal parameter which is not in the normal parameter range from the second production parameter and/or the second process parameter of the group of yarn spindles;
• wherein the group of yarn spindles is all or part of the plurality of yarn spindles, and the group of yarn spindles comprises a set of yarn spindles with a same batch number;
• wherein each of the first quality inspection result and the second quality inspection result at least comprises a dye free color judgment result obtained by analyzing a Raman spectrum graph of chemical fibers, and the dye free color judgment result includes a prediction result on dyeing uniformity of a yarn spindle obtained based on spectral detection before spinning and dyeing the yarn spindle;
• enabling the yarn spindle quality control apparatus to search an adjustment manner corresponding to the second production parameter and/or the second process parameter from a knowledge graph for yarn spindle production and management, in a case where there is the abnormal parameter;
• wherein the knowledge graph includes a normal parameter range;
• and
• enabling the yarn spindle quality control apparatus to send the adjustment manner corresponding to the second production parameter and/or the second process parameter to a related device of the group of yarn spindles.