Impurity rate test is one of the important indicators of cotton notarization test, which provides a basis for cotton transaction price and fairness. CGT-1 intelligent tester of raw cotton impurity realizes the full automation of raw cotton impurity rate test, which plays an important role in the inspection of Xinjiang regulatory cotton. Due to the particularity of Xinjiang regulatory cotton inspection, it takes a long time, high strength, overload and uninterrupted operation during the peak period of cotton inspection, which is easy to increase the frequency of failure. Once the equipment fails, it will inevitably affect the normal inspection work. This paper summarizes the common faults in the operation of CGT-1 tester, and puts forward the corresponding solutions, which ensures the accuracy and stability of the test data and improves the test efficiency.

In order to investigate the performance of corduroy cotton fabric flanging, the influence factors of corduroy fabric flanging test were analyzed, and the influence of 5 test parameters such as folding direction, applied load, friction rate, friction medium and fabric friction surface on the flanging of corduroy cotton fabric was studied by orthogonal test method. The wear condition of cloth surface is tested and analyzed by means of micro image processing and mass loss ratio calculation. The results show that the influence of 5 test parameters on fabric hem wear is statistically significant, and when the folding direction is inclined to 45°, the load is 500 cN, the rotation rate is 60 r/min, and the friction medium is grinding wheel, the mass loss of corduroy cotton fabric hem grinding is the largest.

In order to determine the effect difference, advantages and disadvantages of different moisture regain testing methods, MBS-2 moisture tester and AT-MBC-212D1 moisture regain tester were used to test low, medium and high moisture regain of 558 baled cotton purchased from national cotton market, the results of moisture regain were compared and analyzed. The results showed that there was no significant difference between the two methods for the test data of cotton bales with low and high moisture regain, and the test data of MBS-2 cotton bales moisture tester was more stable, especially for the test of cotton bales with high moisture regain, the stability of MBS -2 cotton bag moisture meter is more outstanding, and the data measured by microwave method fluctuates more greatly. According to this, the cotton notary inspection institution can choose the suitable moisture regain testing device, and provide reference for the development and improvement of the moisture regain instrument of cotton bag.

A comparison and analysis were made on the test conditions and steps of the standard GB/T 12704.1—2009 hygroscopic method and the evaporation method (positive cup method) and the evaporation method (inverted cup method) in GB/T 12704.2—2009. Combined with the problems encountered in daily testing, precautions were proposed during the testing process.

This article introduces the detection principle and calculation of goose feather and down content in GB/T 10288-2016 standard, and sorts out and analyzes various influencing factors that may cause differences in results. The purpose is to provide reference for the unification of operation methods and vision identification among testing institutions, and provide scientific guidance for the production of enterprises, so as to reduce the risk in production and trade.

This article delves into the detection and control techniques of pesticide residues in cotton production. In terms of detection, the article provides a detailed analysis of various technical methods such as gas chromatography, high-performance liquid chromatography, chromatography-mass spectrometry, capillary electrophoresis, and tandem mass spectrometry, and evaluates their accuracy and efficiency in detecting pesticide residues. In terms of control technology, the article explores strategies for the rational use of pesticides, analyzes the advantages of biological control technology, and proposes suggestions for optimizing agricultural production management measures, including crop rotation, increasing organic fertilizer application, and improving soil structure.