Moisture regain correction method for seed cotton fiber parameter measurement

Abstract

The invention discloses a moisture regain correction method for seed cotton fiber parameter measurement, which comprises the following steps of: presetting a plurality of temperature and humidity conditions, and acquiring a moisture regain measurement value array, a micronaire measurement value array and a length measurement value array of a standard cotton sample under each temperature and humidity condition under each preset temperature and humidity condition; acquiring an intensity measurement value array, and establishing a multivariate linear relationship among the intensity standard value, the intensity measurement value and the moisture regain measurement value of the strong standard cotton sample through a multivariate linear regression method so as to determine a moisture regain correction algorithm of the intensity; and establishing a multivariate linear relationship among a length standard value array, a length measurement value array and a moisture regaining measurement value array of the standard cotton sample through a multivariate linear regression method so as to determine a moisture regaining correction algorithm formula of the length. The correction of the moisture regaining on the length measurement value and the strength measurement value during the measurement of the length and the strength of the seed cotton fiber is realized, so that the length correction value and the strength correction value of the seed cotton fiber under different temperature and humidity are consistent with standard values.

Description

Technical Field

[0001] The present invention relates to the technical field of cotton detection, and particularly to a moisture regain correction method for measuring the fiber parameters of unginned cotton. Background Art

[0002] With the improvement and development of cotton quality inspection, cotton has entered the stage of instrumental fair inspection. Therefore, at present, the main means of detecting cotton quality is that a large number of rapid cotton fiber property testers are used by fiber inspection departments to conduct fair inspection on the quality of cotton fibers.

[0003] Cotton processing enterprises use manual or single-machine methods to inspect the quality of unginned cotton fibers. The testing speed is slow, the data consistency is poor, and the test results are quite different from the fair inspection data. Since the long strength data of cotton fibers vary greatly under different temperature and humidity conditions; in order to apply the rapid cotton fiber property tester to cotton processing plants, quickly test the long strength of unginned cotton fibers, improve the consistency of test data, and make the long strength correction values of unginned cotton fibers under different temperature and humidity conditions consistent with the long strength standard values, it is very necessary to establish a moisture regain correction method for the long strength of unginned cotton fibers. Summary of the Invention

[0004] Aiming at the above defects or deficiencies, the purpose of the present invention is to provide a moisture regain correction method and correction system for measuring unginned cotton fiber parameters, so as to realize the correction of the moisture regain measurement value to the length measurement value and the strength measurement value during the measurement of the long strength of unginned cotton fibers, and make the length calibration value and strength calibration value under different temperature and humidity conditions consistent with the standard value.

[0005] To achieve the above object, the technical solution of the present invention is as follows:

[0006] A moisture regain correction method for measuring unginned cotton fiber parameters, comprising:

[0007] Select a standard cotton sample, and obtain the micronaire standard value array, length standard value array, and strength standard value array of the standard cotton sample;

[0008] Preset multiple temperature and humidity conditions, and under each preset temperature and humidity condition, obtain the moisture regain measurement value array, micronaire measurement value array, and length measurement value array of the standard cotton sample at each temperature and humidity;

[0009] According to the micronaire standard value and the length measurement value array, obtain the strength measurement value array, and by means of multiple linear regression, establish a multiple linear relationship among the strength standard value, strength measurement value, and moisture regain measurement value of the standard cotton sample to determine the moisture regain correction algorithm for strength, so that the calculated strength correction value is consistent with the strength standard value;

[0010] By means of multiple linear regression, establish a multiple linear relationship among the length standard value array, length measurement value array, and moisture regain measurement value array of standard cotton samples to determine the moisture regain correction algorithm formula for length, so that the calculated length correction value is consistent with the length standard value.

[0011] The selected standard cotton samples are specifically eight standard cotton samples of seed cotton fibers; the length standard cotton samples include: BM1 of standard grade 1, BM2 of standard grade 2, BM3 of standard grade 3, BM4 of standard grade 4, BM5 of standard grade 5, BM6 of standard grade 6, BM7 of standard grade 7, and BM8 of standard grade 8.

[0012] The acquisition of the micronaire standard value array, length standard value array, and strength standard value array of the standard cotton samples specifically includes:

[0013] 1.1 Set the micronaire standard value MIC of the standard cotton sample, and obtain the micronaire standard value array MMIC of eight standard cotton samples:

[0014] MMIC = [MIC(BM1), MIC(BM2), MIC(BM3), MIC(BM4), MIC(BM5), MIC(BM6), MIC(BM7), MIC(BM8)];

[0015] 1.2 Obtain the length standard value L of the standard cotton sample to obtain the length standard value array LL of eight standard cotton samples:

[0016] LL = [L(BM1), L(BM2), L(BM3), L(BM4), L(BM5), L(BM6), MIC(BM7), L(BM8)];

[0017] 1.3 Obtain the strength standard value STR of the standard cotton sample to obtain the strength standard value array SSTR of eight standard cotton samples:

[0018] SSTR = [STR(BM1), STR(BM2), STR(BM3), STR(BM4), STR(BM5), STR(BM6), STR(BM7), STR(BM8)].

[0019] The preset multiple temperature and humidity conditions are to select six temperature and humidity conditions, specifically including:

[0020] WS1 with a temperature of 45°C and a humidity of 35%RH, WS2 with a temperature of 35°C and a humidity of 45%RH, WS3 with a temperature of 25°C and a humidity of 55%RH, WS4 with a temperature of 20°C and a humidity of 65%RH, WS5 with a temperature of 20°C and a humidity of 75%RH, and WS6 with a temperature of 20°C and a humidity of 85%RH.

[0021] Under each preset temperature and humidity condition, obtain the moisture regain measurement value array, micronaire measurement value array, and length measurement value array of the standard cotton sample under each temperature and humidity. Specifically, it includes:

[0022] 2.1. Use the resistor method to test the moisture regain of the standard cotton sample to obtain the moisture regain measurement value H. Under each preset temperature and humidity condition, test the moisture regain of the standard cotton sample to obtain the moisture regain measurement value array HH;

[0023] 2.2. Under each preset temperature and humidity condition, use the one-time compressed air flow method to test the micronaire of the standard cotton sample to obtain the original micronaire value. Correct the original micronaire value according to the micronaire quality, calculate to obtain the micronaire measurement value MIC1, and aggregate all the data to obtain the micronaire measurement value array MMIC1;

[0024] 2.3. Use the optoelectronic length measuring instrument method to obtain the length measurement value L1 of the standard cotton sample respectively under the preset temperature and humidity condition, and obtain the length standard value array LL1 of eight standard cotton samples.

[0025] The description of using the one-time compressed air flow method to test the micronaire of the standard cotton sample to obtain the original micronaire value, correcting the original micronaire value according to the micronaire quality, calculating to obtain the micronaire measurement value MIC1, and aggregating all the data to obtain the micronaire measurement value array MMIC1 specifically includes:

[0026] 2.2.1. Obtain the air pressure difference P for testing the micronaire from the differential pressure sensor;

[0027] 2.2.2. According to the micronaire formula (1), calculate to obtain the original micronaire measurement value MIC0;

[0028] MIC0 = k1 * P + b1 Formula (1);

[0029] In the formula: k1 is the micronaire differential pressure amplification factor, and b1 is the micronaire differential pressure zero value;

[0030] 2.2.3. Weigh the mass value M for testing the micronaire by an electronic balance, and calculate to obtain the micronaire measurement value MIC1 according to the micronaire mass correction formula (2);

[0031] MIC1 = (p1 * M + p2) * MIC0 + (p3 * M + p4) Formula (2)

[0032] In the formula: p1 is the micronaire correction slope, p2 is the micronaire correction intercept, p3 is the mass correction slope, and p4 is the mass correction intercept;

[0033] 2.2.4. Test the micronaire respectively under each temperature and humidity condition to obtain the micronaire measurement value array MMIC1.

[0034] Using the optoelectronic shadowgraph method, under preset temperature and humidity conditions, the length measurement values L1 of the standard cotton samples are obtained respectively, and the length standard value array LL1 of eight standard cotton samples is obtained, specifically including:

[0035] 2.3.1. Obtain the number of acquisition points Nn of the length from the normalized shadowgraph curve;

[0036] 2.3.2. Calculate the length measurement value L1 of the standard cotton sample according to length formula (3):

[0037] L1 = k4 * Nn + b4 Formula (3)

[0038] Where: k4 is the length acquisition point spacing, and b4 is the length front position distance;

[0039] 2.3.3. Obtain the length measurement values L1 of eight standard cotton samples under six temperature and humidity conditions respectively, and obtain the length measurement value array LL1.

[0040] According to the micronaire standard value and the length measurement value array, obtain the strength measurement value array, and establish a multiple linear relationship among the strength standard value, strength measurement value, and moisture regain measurement value of the standard cotton sample by the method of multiple linear regression to determine the moisture regain correction algorithm for strength, specifically including:

[0041] 3.1. Under the preset temperature and humidity conditions, test the strength of the standard cotton sample to obtain the strength measurement value STR1, and collect the obtained strength measurement values STR1 to obtain the strength measurement value array SSTR1;

[0042] 3.2. Establish a multiple linear relationship among the strength standard value STR, strength measurement value STR1, and moisture regain measurement value H according to the strength standard value array SSTR, strength measurement value array SSTR1, and moisture regain measurement value array HH of the standard cotton sample;

[0043] 3.3. According to the multiple linear relationship among the strength standard value STR, strength measurement value STR1, and moisture regain measurement value H, use the least squares method for regression to determine the moisture regain correction algorithm formula (4) for strength, and calculate the strength correction value STR2 to make the strength correction value STR2 consistent with the strength standard value STR.

[0044] STR2 = p11 * STR1 + p12 * H + p13 Formula (4)

[0045] Where: p11 is the strength partial regression coefficient, p12 is the strength moisture regain correction slope, and p13 is the strength moisture regain correction intercept.

[0046] Measure the strength of the test standard cotton sample to obtain the strength measurement value STR1, and collect the obtained strength measurement values STR1 to obtain the strength measurement value array SSTR1, specifically including:

[0047] 3.1.1. According to the multiple linear relationship between the micronaire standard value MIC, the micronaire measurement value MIC1, and the moisture regain measurement value H, use the least squares method for regression to determine the moisture regain correction algorithm formula (5) for micronaire, and calculate the micronaire correction value MIC2 to make the micronaire correction value MIC2 consistent with the micronaire standard value MIC;

[0048] MIC2 = p5 * MIC1 + p6 * H + p7 Formula (5)

[0049] Where: p5 is the partial regression coefficient of micronaire, p6 is the moisture regain correction slope of micronaire, and p7 is the moisture regain correction intercept of micronaire;

[0050] 3.1.2. Obtain the maximum force value FMAX of the strength from the strength-elongation curve, and calculate the fiber amount value BKA at the break point from the fiber amount formula (6) at the length break point:

[0051] BKA = k6 * L + b6 Formula (6)

[0052] Where: k6 is the slope of the length break amount, and b6 is the intercept of the length break amount;

[0053] 3.1.3. According to the maximum force value FMAX, the fiber amount value BKA at the break point, and the micronaire correction value MIC2, calculate the strength measurement value STR1 from the strength calculation formula (7):

[0054] STR1 = FMAX / (BKA * MIC2) Formula (7);

[0055] 3.1.4. Collect the obtained strength measurement values STR1 to obtain the strength measurement value array SSTR1;

[0056] By the method of multiple linear regression, establish the multiple linear relationship between the length standard value, the length measurement value, and the moisture regain measurement value of the standard cotton sample to determine the moisture regain correction algorithm formula for length, specifically including:

[0057] 4.1. According to the length standard value array LL, the length measurement value array LL1, and the moisture regain measurement value array HH of the standard cotton sample, establish the multiple linear relationship between the length standard value L, the length measurement value L1, and the moisture regain measurement value H;

[0058] 4.2. According to the multivariate linear relationship between the length standard value L and the length measurement value L1 and the moisture regain measurement value H, the least square method is used to perform regression to determine the moisture regain correction algorithm formula (8) for the length, and the length correction value L2 is calculated to make the length correction value L2 consistent with the length standard value L.

[0059] L2= p8*L1+p9*H+p10 Formula (8)

[0060] Where: p8 is the length partial regression coefficient, p9 is the length regain correction slope, and p10 is the length regain correction intercept.

[0061] Compared with the prior art, the beneficial effects of the present invention are:

[0062] The invention provides a regain correction method for seed cotton fiber parameter measurement. According to the length standard value, length measurement value and regain measurement value of the standard sample, a regain correction algorithm formula for length measurement is established by a multiple linear regression method, so that the length correction value under different temperature and humidity is consistent with the length standard value; according to the micronaire standard value, micronaire measurement value and regain measurement value of the standard sample, a regain correction algorithm formula for micronaire measurement is established by a multiple linear regression method, so that the micronaire correction value under different temperature and humidity is consistent with the micronaire standard value, and further applied to strength measurement; according to the strength standard value, strength measurement value, regain measurement value and micronaire calibration value of the standard sample, a regain correction algorithm formula for strength measurement is established by a multiple linear regression method, so that the strength correction value under different temperature and humidity is consistent with the strength standard value. The regain correction method for long strength measurement is stored in the test system of the rapid cotton fiber performance tester with an algorithm formula, applied to the rapid test of the long strength of seed cotton fiber in cotton processing enterprises, and the measured length and strength data are corrected to obtain accurate results, and is promoted and applied. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a flowchart of the moisture regain correction method for measuring seed cotton fiber parameters of the present invention;

[0064] Figure 2 is a photographic curve diagram of the seed cotton fiber to be tested according to the present invention;

[0065] Figure 3 is a normalized radiographic curve diagram of seed cotton fiber of the present invention;

[0066] Figure 4 It is the strength-elongation curve of the cotton fiber of the present invention. DETAILED DESCRIPTION

[0067] The present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0068] As Figure 1 shown, the present invention provides a moisture regain correction method for measuring the parameters of unginned cotton fibers, including:

[0069] S1. Select standard cotton samples, and obtain the micronaire standard value array, length standard value array, and strength standard value array of the standard cotton samples;

[0070] In the present invention, the selection of the standard cotton samples specifically refers to the selection of standard cotton samples of eight types of unginned cotton fibers; the standard cotton samples include: BM1 of standard grade 1, BM2 of standard grade 2, BM3 of standard grade 3, BM4 of standard grade 4, BM5 of standard grade 5, BM6 of standard grade 6, BM7 of standard grade 7, and BM8 of standard grade 8. Among them, the long-strength standard sample is a standard cotton sample uniformly made by a professional institution, and the standard sample has a micronaire standard value MIC, a length standard value L, and a strength standard value STR.

[0071] The specific steps for obtaining the micronaire standard value MIC, length standard value, and strength standard value of the standard cotton samples include:

[0072] 1.1 Set the micronaire standard value MIC of the standard cotton samples, and obtain the micronaire standard value array MMIC of the eight standard cotton samples:

[0073] MMIC = [MIC(BM1), MIC(BM2), MIC(BM3), MIC(BM4), MIC(BM5), MIC(BM6), MIC(BM7), MIC(BM8)];

[0074] 1.2. Obtain the length standard value L of the standard cotton samples, and obtain the length standard value array LL of the eight standard cotton samples:

[0075] LL = [L(BM1), L(BM2), L(BM3), L(BM4), L(BM5), L(BM6), MIC(BM7), L(BM8)];

[0076] 1.3. Obtain the strength standard value STR of the standard cotton samples, and obtain the strength standard value array SSTR of the eight standard cotton samples:

[0077] SSTR = [STR(BM1), STR(BM2), STR(BM3), STR(BM4), STR(BM5), STR(BM6), STR(BM7), STR(BM8)].

[0078] S2. Preset multiple temperature and humidity conditions. Under each preset temperature and humidity condition, obtain the moisture regain measurement value array, micronaire measurement value array, and length measurement value array of the standard cotton sample at each temperature and humidity.

[0079] In the present invention, the preset multiple temperature and humidity conditions are to select six temperature and humidity conditions, specifically including:

[0080] WS1 with a temperature of 45°C and a humidity of 35%RH, WS2 with a temperature of 35°C and a humidity of 45%RH, WS3 with a temperature of 25°C and a humidity of 55%RH, WS4 with a temperature of 20°C and a humidity of 65%RH, WS5 with a temperature of 20°C and a humidity of 75%RH, WS6 with a temperature of 20°C and a humidity of 85%RH. The different temperature and humidity conditions are in an environment where a high and low temperature and humidity test chamber can be adjusted for use, and are used to place and balance the standard cotton samples to be tested.

[0081] Under each preset temperature and humidity condition, obtain the moisture regain measurement value, micronaire measurement value, and length measurement value of the standard cotton sample at each temperature and humidity, specifically including:

[0082] 2.1. Use the resistor method to test the moisture regain of the standard cotton sample to obtain the moisture regain measurement value H. Under each preset temperature and humidity condition, test the moisture regain of the standard cotton sample to obtain the moisture regain measurement value array HH:

[0083] HH = [H(BM1WS1), H(BM2WS1), H(BM3WS1), H(BM4WS1), H(BM5WS1), H(BM6WS1), H(BM7WS1), H(BM8WS1);

[0084] H(BM1WS2), H(BM2WS2), H(BM3WS2), H(BM4WS2), H(BM5WS2), H(BM6WS2), H(BM7WS2), H(BM8WS2);

[0085] H(BM1WS3), H(BM2WS3), H(BM3WS3), H(BM4WS3), H(BM5WS3), H(BM6WS3), H(BM7WS3), H(BM8WS3);

[0086] H(BM1WS4), H(BM2WS4), H(BM3WS4), H(BM4WS4), H(BM5WS4), H(BM6WS4), H(BM7WS4), H(BM8WS4);

[0087] H(BM1WS5), H(BM2WS5), H(BM3WS5), H(BM4WS5), H(BM5WS5), H(BM6WS5), H(BM7WS5), H(BM8WS5);

[0088] H(BM1WS6), H(BM2WS6), H(BM3WS6), H(BM4WS6), H(BM5WS6), H(BM6WS6), H(BM7WS6), H(BM8WS6)]

[0089] The moisture regain test of unginned cotton fiber is carried out by using the resistor method. The unginned cotton fiber to be measured is placed on the moisture regain detector. Under the pressure applied to the unginned cotton fiber by the moisture regain pressure mechanism, the resistance value reflecting the moisture regain is obtained by the moisture regain detection probe, and the moisture regain measurement value H of the unginned cotton fiber is obtained according to the relationship between the resistance value and the moisture regain.

[0090] 2.2. At each preset temperature and humidity condition, the micronaire of the standard cotton sample is tested by using the one - time compressed air flow method to obtain the original micronaire value. The original micronaire value is corrected according to the micronaire quality, and the micronaire measurement value MIC1 is calculated. All the data are collected to obtain the micronaire measurement value array MMIC1;

[0091] Specifically, it includes:

[0092] 2.2.1. The air pressure difference P for testing the micronaire is obtained by the differential pressure sensor;

[0093] The micronaire test of unginned cotton fiber is carried out by using the one - time compressed air flow method. The cotton fiber to be measured with a mass of M is placed into the micronaire test cylinder. Under the pressure applied to the unginned cotton fiber by the piston of the micronaire mechanism, the micronaire air pressure difference P is obtained by the micronaire differential pressure sensor.

[0094] 2.2.2. According to the micronaire formula (1), the original micronaire measurement value MIC0 is calculated;

[0095] MIC0 = k1 * P + b1 Formula (1);

[0096] Where: k1 is the micronaire differential pressure amplification factor, and b1 is the micronaire differential pressure zero value;

[0097] 2.2.3. The mass value M for the micronaire test is obtained by weighing with an electronic balance, and the micronaire measurement value MIC1 is calculated according to the micronaire mass correction formula (2);

[0098] MIC1 = (p1 * M + p2) * MIC0 + (p3 * M + p4) Formula (2)

[0099] Where: p1 is the micronaire correction slope, p2 is the micronaire correction intercept, p3 is the mass correction slope, and p4 is the mass correction intercept.

[0100] 2.2.4. The micronaire measurement value of the standard cotton sample BM1 measured at the temperature and humidity WS1 is denoted as MIC1(BM1WS1), and so on; eight standard cotton samples are measured for micronaire at six different temperatures and humidities, obtaining the micronaire measurement value array MMIC1:

[0101] MMIC1 = [MIC1(BM1WS1), MIC1(BM2WS1), MIC1(BM3WS1), MIC1(BM4WS1), MIC1(BM5WS1), MIC1(BM6WS1), MIC1(BM7WS1), MIC1(BM8WS1);

[0102] MIC1(BM1WS2), MIC1(BM2WS2), MIC1(BM3WS2), MIC1(BM4WS2), MIC1(BM5WS2), MIC1(BM6WS2), MIC1(BM7WS2), MIC1(BM8WS2);

[0103] MIC1(BM1WS3), MIC1(BM2WS3), MIC1(BM3WS3), MIC1(BM4WS3), MIC1(BM5WS3), MIC1(BM6WS3), MIC1(BM7WS3), MIC1(BM8WS3);

[0104] MIC1(BM1WS4), MIC1(BM2WS4), MIC1(BM3WS4), MIC1(BM4WS4), MIC1(BM5WS4), MIC1(BM6WS4), MIC1(BM7WS4), MIC1(BM8WS4);

[0105] MIC1(BM1WS5), MIC1(BM2WS5), MIC1(BM3WS5), MIC1(BM4WS5), MIC1(BM5WS5), MIC1(BM6WS5), MIC1(BM7WS5), MIC1(BM8WS5);

[0106] MIC1(BM1WS6), MIC1(BM2WS6), MIC1(BM3WS6), MIC1(BM4WS6), MIC1(BM5WS6), MIC1(BM6WS6), MIC1(BM7WS6), MIC1(BM8WS6)].

[0107] 2.3. By using the optoelectronic shadowgraph method, under preset temperature and humidity conditions, the length measurement values L1 of the standard cotton samples are obtained respectively, and the length standard value array LL1 of eight standard cotton samples is obtained.

[0108] Specifically, it includes:

[0109] 2.3.1. The number of acquisition points Nn of the length is obtained from the normalized shadowgraph curve;

[0110] For the length test of seed cotton fibers, the optoelectronic shadowgraph method is adopted for the length test. The shadowgraph curve of the measured seed cotton fibers is obtained by the optoelectronic detection system. As Figure 2 shown, the abscissa is the number of length acquisition points N, and the ordinate is the optical quantity A; the optical quantity is normalized to form a normalized shadowgraph curve, as Figure 3 shown; the number of length acquisition points Nn is obtained on the normalized shadowgraph curve; the number of acquisition points Nn is the number of acquisitions of the point where the tangent line of the shadowgraph curve is made at the 50% point of the ordinate of the normalized shadowgraph curve and intersects the abscissa from the origin.

[0111] 2.3.2. The length measurement value L1 of the standard cotton sample is calculated according to the length formula (3):

[0112] L1 = k4 * Nn + b4 Formula (3)

[0113] In the formula: k4 is the length acquisition point spacing, and b4 is the length front distance;

[0114] 2.3.3. The length measurement values L1 of eight standard cotton samples under six temperature and humidity conditions are obtained respectively, and the length measurement value array LL1 is obtained.

[0115] Length measurement value array LL1:

[0116] LL1 = [L1(BM1WS1), L1(BM2WS1), L1(BM3WS1), L1(BM4WS1), L1(BM5WS1), L1(BM6WS1), L1(BM7WS1), L1(BM8WS1);

[0117] L1(BM1WS2), L1(BM2WS2), L1(BM3WS2), L1(BM4WS2), L1(BM5WS2), L1(BM6WS2), L1(BM7WS2), L1(BM8WS2);

[0118] L1(BM1WS3), L1(BM2WS3), L1(BM3WS3), L1(BM4WS3), L1(BM5WS3), L1(BM6WS3), L1(BM7WS3), L1(BM8WS3);

[0119] L1(BM1WS4), L1(BM2WS4), L1(BM3WS4), L1(BM4WS4), L1(BM5WS4), L1(BM6WS4), L1(BM7WS4), L1(BM8WS4);

[0120] L1(BM1WS5), L1(BM2WS5), L1(BM3WS5), L1(BM4WS5), L1(BM5WS5), L1(BM6WS5), L1(BM7WS5), L1(BM8WS5);

[0121] L1(BM1WS6), L1(BM2WS6), L1(BM3WS6), L1(BM4WS6), L1(BM5WS6), L1(BM6WS6), L1(BM7WS6), L1(BM8WS6);

[0122] S3. Obtain an array of strength measurement values according to the micronaire standard value and the array of length measurement values, and establish a multiple linear relationship among the strength standard value, the strength measurement value, and the moisture regain measurement value of the standard cotton sample by means of multiple linear regression to determine the moisture regain correction algorithm for strength, so that the calculated strength correction value is consistent with the strength standard value;

[0123] 3.1. Under preset temperature and humidity conditions, test the strength of the standard cotton sample to obtain the strength measurement value STR1, and aggregate the obtained strength measurement values STR1 to obtain an array of strength measurement values SSTR1;

[0124] Specifically, it includes:

[0125] 3.1.1. According to the multiple linear relationship among the micronaire standard value MIC, the micronaire measurement value MIC1, and the moisture regain measurement value H, use the least squares method for regression to determine the moisture regain correction algorithm formula (5) for micronaire, and calculate the micronaire correction value MIC2 to make the micronaire correction value MIC2 consistent with the micronaire standard value MIC;

[0126] MIC2 = p5 * MIC1 + p6 * H + p7 Formula (5)

[0127] Where: p5 is the partial regression coefficient of micronaire, p6 is the moisture regain correction slope of micronaire, and p7 is the moisture regain correction intercept of micronaire;

[0128] 3.1.2. Obtain the maximum force value FMAX of strength from the strength-elongation curve, and calculate the fiber quantity value BKA at the break point from the fiber quantity formula (6) at the length break point:

[0129] BKA = k6 * L + b6 Formula (6)

[0130] Where: k6 is the slope of the length breakage amount, and b6 is the intercept of the length breakage amount;

[0131] For the strength test of unginned cotton fiber, the isometric tensile bundle fiber method is adopted for strength measurement. From the length breakage fiber amount formula (6), the breakage fiber amount BKA for strength measurement is determined according to the length measurement value L. When measuring strength by tensile test, the cotton fiber is broken at the breakage fiber amount BKA corresponding to the curve of the photoelectric sorter, and the stress-strain curve of the cotton fiber is obtained, as Figure 4 shown; the maximum breaking force value FMAX is obtained on the stress-strain curve. According to the cotton fiber strength formula (7), the strength measurement value STR1 is calculated from the maximum breaking force value FMAX, the breakage fiber amount BKA, and the micronaire calibration value MIC2.

[0132] 3.1.3. According to the maximum force value FMAX, the fiber amount value BKA at the breakage point, and the micronaire correction value MIC2, the strength measurement value STR1 is calculated from the strength calculation formula (7):

[0133] STR1 = FMAX / (BKA * MIC2) Formula (7);

[0134] 3.1.4. The obtained strength measurement values STR1 are aggregated to obtain the strength measurement value array SSTR1:

[0135] SSTR1 = [STR1(BM1WS1), STR1(BM2WS1), STR1(BM3WS1), STR1(BM4WS1), STR1(BM5WS1), STR1(BM6WS1), STR1(BM7WS1), STR1(BM8WS1);

[0136] STR1(BM1WS2), STR1(BM2WS2), STR1(BM3WS2), STR1(BM4WS2), STR1(BM5WS2), STR1(BM6WS2), STR1(BM7WS2), STR1(BM8WS2);

[0137] STR1(BM1WS3), STR1(BM2WS3), STR1(BM3WS3), STR1(BM4WS3), STR1(BM5WS3), STR1(BM6WS3), STR1(BM7WS3), STR1(BM8WS3);

[0138] STR1(BM1WS4), STR1(BM2WS4), STR1(BM3WS4), STR1(BM4WS4), STR1(BM5WS4), STR1(BM6WS4), STR1(BM7WS4), STR1(BM8WS4);

[0139] STR1(BM1WS5), STR1(BM2WS5), STR1(BM3WS5), STR1(BM4WS5), STR1(BM5WS5), STR1(BM6WS5), STR1(BM7WS5), STR1(BM8WS5);

[0140] STR1(BM1WS6), STR1(BM2WS6), STR1(BM3WS6), STR1(BM4WS6), STR1(BM5WS6), STR1(BM6WS6), STR1(BM7WS6), STR1(BM8WS6)]

[0141] 3.2. Establish a multiple linear relationship between the strength standard value STR, the strength measurement value STR1, and the moisture regain measurement value H based on the strength standard value array SSTR, the strength measurement value array SSTR1, and the moisture regain measurement value array HH of the standard cotton sample;

[0142] 3.3. According to the multiple linear relationship between the strength standard value STR, the strength measurement value STR1, and the moisture regain measurement value H, use the least squares method for regression to determine the moisture regain correction algorithm formula (4) for strength, and calculate the strength correction value STR2 to make the strength correction value STR2 consistent with the strength standard value STR.

[0143] STR2 = p11 * STR1 + p12 * H + p13 Formula (4)

[0144] Where: p11 is the strength partial regression coefficient, p12 is the slope of the strength moisture regain correction, and p13 is the intercept of the strength moisture regain correction.

[0145] S4. Establish a multiple linear relationship between the length standard value, the length measurement value, and the moisture regain measurement value of the standard cotton sample through the method of multiple linear regression to determine the moisture regain correction algorithm formula for length, so that the calculated length correction value is consistent with the length standard value.

[0146] Specifically include:

[0147] 4.1. Establish a multiple linear relationship between the length standard value L, the length measurement value L1, and the moisture regain measurement value H based on the length standard value array LL, the length measurement value array LL1, and the moisture regain measurement value array HH of the standard cotton sample;

[0148] 4.2. According to the multiple linear relationship between the length standard value L, the length measurement value L1, and the moisture regain measurement value H, use the least squares method for regression to determine the moisture regain correction algorithm formula (8) for length, and calculate the length correction value L2 with this to make the length correction value L2 consistent with the length standard value L

[0149] L2 = p8 * L1 + p9 * H + p10 Equation (8)

[0150] Where: p8 is the length partial regression coefficient, p9 is the length moisture regain correction slope, and p10 is the length moisture regain correction intercept.

[0151] The present invention aims to provide a moisture regain correction method for measuring the length and strength of seed cotton fibers, realizing the correction of the moisture regain measurement value to the length measurement value and the strength measurement value during the measurement of the length and strength of seed cotton fibers, so that the length calibration value and the strength calibration value under different temperatures and humidities are consistent with the standard values. Cotton processing enterprises need to quickly test the length and strength of seed cotton fibers. The moisture regain of cotton fibers under different temperatures and humidities is different, and the length measurement value and the strength measurement value have a large difference from the standard values. Moreover, the strength is associated with the length and micronaire. Therefore, to test the length and strength, it is necessary to first conduct the moisture regain test of cotton fibers, then conduct the micronaire test, and finally conduct the length and strength test and data correction.

[0152] For those skilled in the art, it is obvious that the above specific factual examples are only the preferred solutions of the present invention. Therefore, the improvements and changes that those skilled in the art may make to some parts of the present invention still embody the principle of the present invention and achieve the purpose of the present invention, and all belong to the scope protected by the present invention.

Claims

1. A moisture regain correction method for measuring seed cotton fiber parameters, characterized in that, Including: Select a standard cotton sample, and obtain the micronaire standard value array, length standard value array, and strength standard value array of the standard cotton sample; Preset multiple temperature and humidity conditions. Under each preset temperature and humidity condition, obtain the moisture regain measurement value array, micronaire measurement value array, and length measurement value array of the standard cotton sample at each temperature and humidity; According to the micronaire standard value and the length measurement value array, obtain the strength measurement value array, and by means of multiple linear regression, establish a multiple linear relationship among the strength standard value, strength measurement value, and moisture regain measurement value of the standard cotton sample to determine the moisture regain correction algorithm for strength, so that the calculated strength correction value is consistent with the strength standard value; By means of multiple linear regression, establish a multiple linear relationship among the length standard value array, length measurement value array, and moisture regain measurement value array of the standard cotton sample to determine the moisture regain correction algorithm formula for length, so that the calculated length correction value is consistent with the length standard value.

2. The moisture regain correction method for measuring the lint fiber parameters according to claim 1, characterized in that The selection of the standard cotton sample specifically refers to selecting the standard cotton samples of eight kinds of seed cotton fibers; the standard cotton samples include: BM1 of standard grade 1, BM2 of standard grade 2, BM3 of standard grade 3, BM4 of standard grade 4, BM5 of standard grade 5, BM6 of standard grade 6, BM7 of standard grade 7, BM8 of standard grade 8.

3. The moisture regain correction method for measuring the parameters of unginned cotton fibers according to claim 2, characterized in that, The obtaining of the micronaire standard value array, length standard value array, and strength standard value array of the standard cotton sample specifically includes: 1.1 Set the micronaire standard value MIC of the standard cotton sample, and obtain the micronaire standard value array MMIC of the eight standard cotton samples: MMIC = [MIC(BM1), MIC(BM2), MIC(BM3), MIC(BM4), MIC(BM5), MIC(BM6), MIC(BM7), MIC(BM8)]; 1.2 Obtain the length standard value L of the standard cotton sample, and obtain the length standard value array LL of the eight standard cotton samples: LL = [L(BM1), L(BM2), L(BM3), L(BM4), L(BM5), L(BM6), MIC(BM7), L(BM8)]; 1.3 Obtain the strength standard value STR of the standard cotton sample, and obtain the strength standard value array SSTR of the eight standard cotton samples: SSTR = [STR(BM1), STR(BM2), STR(BM3), STR(BM4), STR(BM5), STR(BM6), STR(BM7), STR(BM8)].

4. The moisture regain correction method for measuring the lint fiber parameters according to claim 3, characterized in that The presetting of multiple temperature and humidity conditions is to select six temperature and humidity conditions, specifically including: WS1 with a temperature of 45°C and a humidity of 35%RH, WS2 with a temperature of 35°C and a humidity of 45%RH, WS3 with a temperature of 25°C and a humidity of 55%RH, WS4 with a temperature of 20°C and a humidity of 65%RH, WS5 with a temperature of 20°C and a humidity of 75%RH, WS6 with a temperature of 20°C and a humidity of 85%RH.

5. The moisture regain correction method for measuring the lint fiber parameters according to claim 4, characterized in that, The obtaining of the moisture regain measurement value array, micronaire measurement value array, and length measurement value array of the standard cotton sample under each preset temperature and humidity condition specifically includes: 2.

1. Use the resistor method to measure the moisture regain of the standard cotton sample, obtaining the moisture regain measurement value H. Under each preset temperature and humidity condition, measure the moisture regain of the standard cotton sample to obtain the moisture regain measurement value array HH. 2.

2. Under each preset temperature and humidity condition, use the single-compression air flow method to measure the micronaire of the standard cotton sample, obtaining the original micronaire value. Correct the original micronaire value according to the micronaire quality, calculate the micronaire measurement value MIC1, and aggregate all the data to obtain the micronaire measurement value array MMIC1. 2.

3. Use the optoelectronic sorter method to obtain the length measurement value L1 of the standard cotton sample respectively under the preset temperature and humidity condition, obtaining the length standard value array LL1 of eight standard cotton samples.

6. The moisture regain correction method for measuring the lint fiber parameters according to claim 5, characterized in that, The step of using the single-compression air flow method to measure the micronaire of the standard cotton sample, obtaining the original micronaire value, correcting the original micronaire value according to the micronaire quality, calculating the micronaire measurement value MIC1, and aggregating all the data to obtain the micronaire measurement value array MMIC1 specifically includes: 2.2.

1. Obtain the air pressure difference P for measuring the micronaire from the differential pressure sensor. 2.2.

2. According to the micronaire formula (1), calculate the original micronaire measurement value MIC0. MIC0 = k1 * P + b1 Formula (1); In the formula: k1 is the micronaire differential pressure amplification factor, and b1 is the micronaire differential pressure zero value. 2.2.

3. Weigh the quality value M of the micronaire test with an electronic balance, and calculate the micronaire measurement value MIC1 according to the micronaire quality correction formula (2). MIC1 = (p1 * M + p2) * MIC0 + (p3 * M + p4) Formula (2) In the formula: p1 is the micronaire correction slope, p2 is the micronaire correction intercept, p3 is the quality correction slope, and p4 is the quality correction intercept. 2.2.

4. Measure the micronaire under each temperature and humidity condition respectively, obtaining the micronaire measurement value array MMIC1.

7. The moisture regain correction method for measuring the seed cotton fiber parameters according to claim 5, characterized in that, Using the optoelectronic sorter method, under the preset temperature and humidity condition, obtain the length measurement value L1 of the standard cotton sample respectively, obtaining the length standard value array LL1 of eight standard cotton samples, specifically including: 2.3.

1. Obtain the number of acquisition points Nn of the length from the normalized sorter curve. 2.3.

2. Calculate the length measurement value L1 of the standard cotton sample according to the length formula (3): L1 = k4 * Nn + b4 Formula (3) In the formula: k4 is the length acquisition point spacing, and b4 is the length front position distance. 2.3.

3. Obtain the length measurement values L1 of eight standard cotton samples under six temperature and humidity conditions respectively, obtaining the length measurement value array LL1.

8. The moisture regain correction method for measuring the lint fiber parameters according to claim 6, wherein The step of obtaining the strength measurement value array according to the micronaire standard value and the length measurement value array, and establishing a multiple linear relationship among the strength standard value, strength measurement value, and moisture regain measurement value of the standard cotton sample by the method of multiple linear regression to determine the moisture regain correction algorithm for strength specifically includes: 3.

1. Under the preset temperature and humidity condition, measure the strength of the standard cotton sample, obtaining the strength measurement value STR1, and aggregate the obtained strength measurement values STR1 to obtain the strength measurement value array SSTR1. 3.

2. Establish a multiple linear relationship between the strength standard value STR, the strength measurement value STR1, and the moisture regain measurement value H based on the strength standard value array SSTR, the strength measurement value array SSTR1, and the moisture regain measurement value array HH of the standard cotton sample; 3.

3. According to the multiple linear relationship between the strength standard value STR, the strength measurement value STR1, and the moisture regain measurement value H, use the least squares method to perform regression to determine the moisture regain correction algorithm formula (4) for strength, and calculate the strength correction value STR2 to make the strength correction value STR2 consistent with the strength standard value STR. STR2 = p11 * STR1 + p12 * H + p13 Formula (4) In the formula: p11 is the strength partial regression coefficient, p12 is the strength moisture regain correction slope, and p13 is the strength moisture regain correction intercept.

9. The moisture regain correction method for measuring the lint fiber parameters according to claim 8, characterized in that Measure the strength of the test standard cotton sample to obtain the strength measurement value STR1, and collect the obtained strength measurement values STR1 to obtain the strength measurement value array SSTR1. Specifically including: 3.1.

1. According to the multiple linear relationship between the micronaire standard value MIC, the micronaire measurement value MIC1, and the moisture regain measurement value H, use the least squares method to perform regression to determine the moisture regain correction algorithm formula (5) for micronaire, and calculate the micronaire correction value MIC2 to make the micronaire correction value MIC2 consistent with the micronaire standard value MIC; MIC2 = p5 * MIC1 + p6 * H + p7 Formula (5) In the formula: p5 is the micronaire partial regression coefficient, p6 is the micronaire moisture regain correction slope, and p7 is the micronaire moisture regain correction intercept; 3.1.

2. Obtain the maximum force value FMAX of the strength from the stress-strain curve, and calculate the fiber amount value BKA at the break point from the fiber amount formula (6) at the length break point: BKA = k6 * L + b6 Formula (6) In the formula: k6 is the length break amount slope, and b6 is the length break amount intercept; 3.1.

3. According to the maximum force value FMAX, the fiber amount value BKA at the break point, and the micronaire correction value MIC2, calculate the strength measurement value STR1 from the strength calculation formula (7): STR1 = FMAX / (BKA * MIC2) Formula (7); 3.1.

4. Collect the obtained strength measurement values STR1 to obtain the strength measurement value array SSTR1.

10. The moisture regain correction method for measuring the lint fiber parameters according to claim 7, characterized in that, By the method of multiple linear regression, establish a multiple linear relationship between the length standard value, the length measurement value, and the moisture regain measurement value of the standard cotton sample to determine the moisture regain correction algorithm formula for length. Specifically including: 4.

1. Establish a multiple linear relationship between the length standard value L, the length measurement value L1, and the moisture regain measurement value H based on the length standard value array LL, the length measurement value array LL1, and the moisture regain measurement value array HH of the standard cotton sample; 4.

2. According to the multiple linear relationship between the length standard value L, the length measurement value L1, and the moisture regain measurement value H, use the least squares method to perform regression to determine the moisture regain correction algorithm formula (8) for length, and calculate the length correction value L2 accordingly to make the length correction value L2 consistent with the length standard value L L2 = p8 * L1 + p9 * H + p10 Formula (8) Where: p8 is the length partial regression coefficient, p9 is the length moisture regain correction slope, and p10 is the length moisture regain correction intercept.

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