Oat seed antioxidant activity detection method and device and storage medium

Abstract

The invention discloses a method and a device for detecting antioxidant activity of oat seeds and a storage medium, and relates to the technical field of antioxidant activity detection. The method for detecting the antioxidant activity of the oat seeds comprises the following steps: detecting average humidity fluctuation; humidity control analysis; and grinding the seeds and detecting antioxidant activity. According to the method, the average humidity fluctuation of the oat seeds is detected, whether seed grinding and antioxidant activity detection are carried out or not is judged, and if seed grinding and antioxidant activity detection are not carried out, humidity control analysis is carried out, and whether humidity control optimization is carried out or not is judged; if seed grinding and antioxidant activity detection are carried out, qualified antioxidant activity detection data are obtained, so that the accuracy of oat seed humidity control analysis is improved, and the effect of improving the accuracy of oat seed antioxidant activity detection is achieved; the problem that the humidity of the seeds is not fully considered in detection of the antioxidant activity of the oat seeds in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of antioxidant activity detection, and in particular to a method, a device and a storage medium for detecting the antioxidant activity of oat seeds. Background Art

[0002] As a source of natural antioxidants, oat seeds have complex and diverse antioxidant active ingredients, including avenanthramides, flavonoids, vitamin E, etc. When oat seeds are in a high humidity environment, the antioxidant components inside them are easily reacted with water molecules, leading to decomposition or inactivation. For example, antioxidant components such as avenanthramides, flavonoids and vitamin E may undergo structural changes due to the action of water molecules in a high humidity environment, thereby reducing their antioxidant activity.

[0003] Existing methods are mainly based on electronic humidity controllers, which automatically adjust humidity through electronic components, and PID control algorithms, which achieve precise control of the humidity environment during the antioxidant activity detection of oat seeds through the synergistic effect of the three parts of proportion, integration and differentiation.

[0004] For example, the invention patent application with publication number: CN116429990A discloses a method and device for detecting antioxidant activity of oat seeds based on cellulase, comprising: crushing a plurality of oat seeds of different kinds into an oat powder set, hydrolyzing cellulose of each oat powder in the oat powder set with cellulase to obtain an oat hydrolyzate set, performing spectral imaging on the oat hydrolyzate set to obtain an oat spectrum atlas; performing sugar, ketone and phenol detection on each oat hydrolyzate in the oat hydrolyzate set to obtain an oat component parameter set, performing antioxidant detection on the oat hydrolyzate set with a free radical scavenging method to obtain an antioxidant data set; training an antioxidant activity model with the oat spectrum atlas and the oat component parameter set to obtain an antioxidant analysis model; and analyzing the antioxidant activity of the oat seeds to be tested with the antioxidant analysis model.

[0005] For example, the invention patent with the announcement number CN114705673B discloses a method for rapid colorimetric analysis of total antioxidant capacity based on MnCo@CNCs enzyme activity and its application, including: first preparing a core-shell structure MnCo@CNCs enzyme activity material, then using its oxidase activity, adding it to multiple sodium acetate-acetate buffer samples containing different concentrations of AA for incubation, adding the colorimetric substrate TMB for reaction, recording the absorbance value A at a wavelength of 652nm, and obtaining the detection linear relationship between AA concentration and absorbance difference ΔA. AA is used as an antioxidant model compound, and TAC is characterized in units of mM / LAA.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, as a source of natural antioxidants, the antioxidant active components of oat seeds are complex and diverse. Humidity is also one of the important factors affecting the antioxidant activity of oat seeds. When oat seeds are in a high-humidity environment, the antioxidant components inside are prone to interact with water molecules, resulting in decomposition or inactivation. In some regions, due to humid climate or frequent rainfall, the humidity conditions of oat seeds may not be accurately controlled, leading to the problem that the detection of the antioxidant activity of oat seeds does not fully consider the seed humidity. Summary of the Invention

[0007] By providing a method, device and storage medium for detecting the antioxidant activity of oat seeds, the embodiments of the present application solve the problem that the detection of the antioxidant activity of oat seeds in the prior art does not fully consider the seed humidity, and realize more accurate detection of the antioxidant activity of oat seeds.

[0008] The embodiments of the present application provide a method for detecting the antioxidant activity of oat seeds, including the following steps: detecting the average humidity fluctuation of oat seeds, and determining whether to perform seed grinding and antioxidant activity detection; if not performing seed grinding and antioxidant activity detection, performing humidity control analysis based on the obtained optimized data of oat seed humidity, and determining whether to perform humidity control optimization; if performing seed grinding and antioxidant activity detection, obtaining qualified antioxidant activity detection data.

[0009] The embodiments of the present application provide a device for detecting the antioxidant activity of oat seeds, including an average humidity fluctuation detection module, a humidity control analysis module and a seed grinding and antioxidant activity detection module: wherein, the average humidity fluctuation detection module is used to detect the average humidity fluctuation of oat seeds and determine whether to perform seed grinding and antioxidant activity detection; the humidity control analysis module is used to perform humidity control analysis based on the obtained optimized data of oat seed humidity and determine whether to perform humidity control optimization if not performing seed grinding and antioxidant activity detection; the seed grinding and antioxidant activity detection module is used to obtain qualified antioxidant activity detection data if performing seed grinding and antioxidant activity detection.

[0010] The embodiments of the present application provide a computer-readable storage medium for storing a program, and when the program is executed by a processor, it implements a method for detecting the antioxidant activity of oat seeds.

[0011] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By detecting the average humidity fluctuation of oat seeds and determining whether to perform seed grinding and antioxidant activity detection, if seed grinding and antioxidant activity detection are not performed, humidity control analysis is carried out based on the obtained oat seed humidity optimization data and it is determined whether to perform humidity control optimization. If seed grinding and antioxidant activity detection are performed, qualified antioxidant activity detection data are obtained, thus improving the accuracy of oat seed humidity control analysis, and further achieving more accurate antioxidant activity detection of oat seeds, effectively solving the problem that the antioxidant activity detection of oat seeds in the prior art does not fully consider the seed humidity.

[0012] 2. After coupling the humidity uniformity data group, a weighted operation is performed with the preset humidity uniformity weight to obtain the humidity distribution uniformity value. Then, after coupling the humidity fluctuation qualified data group, a weighted operation and negative correlation processing are performed with the preset humidity fluctuation weight to obtain the humidity fluctuation qualified value, thus improving the reliability of humidity control optimization, and further improving the accuracy of humidity control optimization.

[0013] 3. By grinding the qualified oat seeds and detecting the antioxidant activity, then monitoring the change value of absorbance and comparing it with the preset absorbance change range, and finally obtaining the qualified antioxidant activity detection data, thus improving the reliability of antioxidant activity detection of oat seeds, and further improving the effectiveness of antioxidant activity detection of oat seeds. Description of the Drawings

[0014] Figure 1 It is a flowchart of an antioxidant activity detection method for oat seeds provided by an embodiment of the present application; Figure 2 It is a schematic structural diagram of an antioxidant activity detection device for oat seeds provided by an embodiment of the present application. Detailed Embodiments

[0015] The embodiments of the present application provide an antioxidant activity detection method, device and storage medium for oat seeds, which solve the problem that the antioxidant activity detection of oat seeds in the prior art does not fully consider the seed humidity. By detecting the average humidity fluctuation of oat seeds and determining whether to perform seed grinding and antioxidant activity detection, when the average humidity fluctuation of oat seeds is greater than the preset average humidity fluctuation, humidity control analysis is carried out and it is determined whether to perform humidity control optimization. When the average humidity fluctuation of oat seeds is not greater than the preset average humidity fluctuation, seed grinding and antioxidant activity detection are performed to obtain qualified antioxidant activity detection data, achieving more accurate antioxidant activity detection of oat seeds.

[0016] The technical solutions in the embodiments of the present application are to solve the above problem that the antioxidant activity detection of oat seeds does not fully consider the seed humidity. The general idea is as follows: By detecting the average humidity fluctuation of oat seeds and determining whether to conduct seed grinding and antioxidant activity detection, if seed grinding and antioxidant activity detection are not carried out, humidity control analysis is performed based on the obtained optimized oat seed humidity data and it is determined whether to optimize humidity control. If seed grinding and antioxidant activity detection are carried out, qualified antioxidant activity detection data are obtained, thereby improving the accuracy of humidity control analysis of oat seeds and achieving the effect of improving the accuracy of antioxidant activity detection of oat seeds.

[0017] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0018] As Figure 1 shown, it is a flowchart of a method for detecting the antioxidant activity of oat seeds provided by an embodiment of the present application. The method includes the following steps: Average humidity fluctuation detection: Detect the average humidity fluctuation of oat seeds and determine whether to conduct seed grinding and antioxidant activity detection; Humidity control analysis: If seed grinding and antioxidant activity detection are not carried out, humidity control analysis is performed based on the obtained optimized oat seed humidity data and it is determined whether to optimize humidity control; Seed grinding and antioxidant activity detection: If seed grinding and antioxidant activity detection are carried out, qualified antioxidant activity detection data are obtained.

[0019] It should be understood that the antioxidant components inside oat seeds are complex and diverse, including various compounds with antioxidant activity such as phenols and flavonoids. However, these components are extremely sensitive to humidity conditions. When the environmental humidity of oat seeds is higher, the antioxidant components inside are more likely to interact with water molecules, resulting in decomposition or inactivation, thereby reducing their antioxidant activity. Therefore, strictly controlling the humidity conditions of oat seeds is crucial for maintaining their antioxidant activity.

[0020] In this embodiment, when the average value of the monitored humidity fluctuation of oat seeds is greater than the preset average humidity fluctuation value, humidity control analysis is carried out. Otherwise, it indicates that the initial screening of the oat seed sample is qualified, and seed grinding and antioxidant activity detection are directly carried out; the uniform humidity distribution value and humidity distribution difference value are obtained through humidity control analysis, and the adjustment multiple of the wind speed of the preset air circulation device is dynamically set based on the humidity distribution difference value; the qualified humidity fluctuation value and humidity fluctuation qualified difference value are obtained through humidity control analysis, and the adjustment multiple of the dehumidification duration of the preset dehumidification device is dynamically set based on the humidity fluctuation qualified difference value; the absorbance change value is obtained through grinding treatment and antioxidant activity detection. When the absorbance change value is within the preset absorbance change range, the qualified antioxidant activity detection data of the corresponding oat seeds are obtained (detected by the DPPH free radical scavenging method, and the free radical scavenging rate, total phenol content, total flavonoid content, etc. are obtained); through the connection and joint action of average humidity fluctuation detection, humidity control analysis, and seed grinding and antioxidant activity detection, it helps to improve the reliability of the antioxidant activity detection data of oat seeds, and thus realizes more accurate detection of the antioxidant activity of oat seeds.

[0021] Further, the specific process of detecting the average humidity fluctuation of oat seeds and determining whether to carry out seed grinding and antioxidant activity detection is as follows: obtain the average humidity fluctuation value of oat seeds within a preset first time period; based on the average humidity fluctuation value of oat seeds, conduct an initial screening of the oat seed sample; the specific process of the initial screening is as follows: determine whether the average humidity fluctuation value of oat seeds is greater than the preset average humidity fluctuation value; when the average humidity fluctuation value of oat seeds is not greater than the preset average humidity fluctuation value, it indicates that the initial screening of the oat seed sample is qualified, and seed grinding and antioxidant activity detection are carried out; when the average humidity fluctuation value of oat seeds is greater than the preset average humidity fluctuation value, it indicates that the initial screening of the oat seed sample is unqualified, and humidity control analysis is carried out; the average humidity fluctuation value of oat seeds is represented by the absolute value of the corresponding difference between the initial average humidity value and the final average humidity value of the oat seed sample within the preset first time period; humidity control analysis includes humidity distribution uniformity analysis and humidity fluctuation qualification analysis.

[0022] It should be added that the optimized oat seed humidity data includes a humidity uniformity data set and a qualified humidity fluctuation data set; the humidity uniformity data set is quantitative data reflecting the comprehensive influence of humidity distribution uniformity parameters and preset humidity distribution uniformity parameters on the humidity distribution uniformity of oat seeds; the qualified humidity fluctuation data set represents the quantitative data of the comprehensive influence of humidity fluctuation parameters and preset humidity fluctuation parameters on the qualified humidity fluctuation of oat seeds; the humidity uniformity data set includes uniformity-humidity change evaluation value, uniformity-seed moisture content evaluation value, uniformity-hydrolysis evaluation value, and uniformity-moisture absorption evaluation value; the humidity distribution uniformity parameters include average humidity gradient, average humidity change rate, final oat seed moisture content, average hydrolysis rate, and average seed moisture absorption time; the preset humidity distribution uniformity parameters include preset average humidity gradient, preset average humidity change rate, preset oat seed moisture content, preset average hydrolysis rate, preset average seed moisture absorption time, preset humidity uniformity weight, and preset humidity uniformity analysis weight group; the preset humidity uniformity analysis weight group includes preset gradient-humidity change weight value, preset gradient-hydrolysis weight value, preset gradient-seed moisture content weight value, and preset gradient-moisture absorption weight value.

[0023] The units of both the average humidity gradient and the preset average humidity gradient are %RH / m, the units of both the average humidity change rate and the preset average humidity change rate are %RH / h, the final oat seed moisture content and the preset oat seed moisture content have no units, the units of both the average hydrolysis rate and the preset average hydrolysis rate are mol / (L*s), and the units of both the average seed moisture absorption time and the preset average seed moisture absorption time are min.

[0024] Monitor the humidity of unqualified oat seeds at the preset position within the preset second time period through a hygrometer, obtain the result of the ratio of the difference in humidity between adjacent preset position points and the corresponding difference in distance between adjacent preset position points, and take the average value of the results as the average humidity gradient; monitor the humidity of unqualified oat seeds at the initial state and the final state within the preset second time period through a hygrometer, and take the average value of the ratio of the absolute value of the difference between them and the corresponding preset second time period as the average humidity change rate; monitor the moisture content of the final state of unqualified oat seeds within the preset second time period through a moisture analyzer (such as a halogen moisture analyzer), which is the final oat seed moisture content; monitor the conductivity of a preset number of oat seeds in the initial state and the final state of unqualified oat seeds within the preset second time period through an electrode (when the moisture or other ionizable substances in oat seeds change, its conductivity will also change accordingly), and take the average value of the ratio of the absolute value of the difference between them and the corresponding preset second time period as the average hydrolysis rate; monitor the time required for unqualified oat seeds to reach the preset moisture content within the preset second time period through a moisture analyzer and a timer, and take its average value as the average seed moisture absorption time.

[0025] The humidity fluctuation qualified data set includes fluctuation - moisture content fluctuation reflection, fluctuation - evaporation rate reflection value, fluctuation - humidity difference reflection value, and fluctuation - moisture content reflection value; the humidity fluctuation parameters include the second humidity fluctuation average value, the moisture content fluctuation value of the seeds, the average moisture evaporation rate, the humidity difference value, and the moisture content of the final state oat seeds; the second humidity fluctuation average value is represented by the absolute value of the corresponding difference between the initial average humidity value and the final state average humidity value of the unqualified oat seeds in a preset second time period; unqualified oat seeds refer to the oat seed samples for which the average humidity fluctuation value of the oat seeds is greater than the preset humidity fluctuation average value; the preset humidity fluctuation parameters include the preset humidity fluctuation average value, the preset moisture content fluctuation value, the preset average moisture evaporation rate, the preset humidity difference value, the preset moisture content of the oat seeds, the preset humidity fluctuation weight, and the preset humidity fluctuation analysis weight group; the preset humidity uniformity analysis weight group includes the preset moisture content fluctuation weight, the preset evaporation rate weight, the preset humidity difference weight, and the preset moisture content weight; the preset humidity uniformity weight is used to reflect the influence degree of the humidity uniformity data set on the humidity distribution uniformity value within the preset second time period; the preset humidity uniformity analysis weight group is used to reflect the influence degree of the humidity distribution uniformity parameters on the humidity uniformity data set within the preset second time period; the preset humidity fluctuation weight is used to reflect the influence degree of the humidity fluctuation qualified data set on the humidity fluctuation qualified value within the preset second time period; the preset humidity fluctuation analysis weight group is used to reflect the influence degree of the humidity fluctuation parameters on the humidity fluctuation qualified data set within the preset second time period; humidity control optimization includes humidity distribution uniformity optimization and humidity fluctuation qualification optimization. Both the humidity fluctuation qualified data set and the humidity uniformity data set are greater than 0.

[0026] The units of both the second humidity fluctuation average value and the preset humidity fluctuation average value are %RH, the moisture content fluctuation value of the seeds and the preset moisture content fluctuation value have no unit, the units of both the average moisture evaporation rate and the preset average moisture evaporation rate are mg / min, and the units of both the humidity difference value and the preset humidity difference value are %RH.

[0027] The initial average humidity value and the final state average humidity value of the unqualified oat seeds in the preset second time period are monitored by a humidity meter, and the absolute value of their difference is used as the second humidity fluctuation average value; the moisture content of the unqualified oat seeds in the preset second time period is monitored by a moisture analyzer (such as a halogen moisture analyzer), and the difference between its maximum value and minimum value is used as the moisture content fluctuation value of the seeds; the mass change amount (the difference between the final state mass and the initial state mass) of the unqualified oat seeds in the preset second time period is monitored by a timer and a balance (such as a laboratory one - ten - thousandth balance), and a ratio operation is performed with the corresponding preset second time period, and the average value of the result is used as the average moisture evaporation rate; the humidity of the unqualified oat seeds in the preset second time period is monitored by a humidity meter, and the difference between its maximum value and minimum value is used as the humidity difference value.

[0028] In this embodiment, the aforementioned database is a method for detecting the antioxidant activity of oat seeds provided by an embodiment of the present application, which is used to store various set data means, preset moisture contents of oat seeds, etc., and various values therein are directly set by technicians; for example, the preset evaluation parameters include the average value of the preset humidity gradient, the average value of the preset humidity change rate, the preset moisture content of oat seeds, the average value of the preset hydrolysis rate, the average value of the preset moisture absorption time, the average value of the preset humidity fluctuation, the average value of the preset water evaporation rate, and the preset humidity difference value; the preset evaluation historical data includes the humidity gradient, the humidity change rate, the water content, the hydrolysis rate, the moisture absorption time, the average value of the oat seed humidity fluctuation, the water evaporation rate, and the humidity difference value; the preset evaluation parameters are represented by the average values of the preset evaluation historical data in the corresponding historical time periods.

[0029] By initially screening oat seed samples, for the oat seed samples that fail the initial screening, humidity control analysis is carried out, which helps to achieve precise control of the humidity environment for antioxidant activity detection, helps to reduce the impact of humidity fluctuations on seed quality, and thus achieves the effect of improving the accuracy of antioxidant activity detection of oat seeds.

[0030] Further, the specific process of humidity distribution uniformity analysis is as follows: First, analyze the degree of approximation between the preset average humidity gradient and the average humidity gradient, then analyze the degree of approximation between the preset average humidity change rate and the average humidity change rate, and then perform a weighted operation by combining the preset gradient-humidity change weight value to obtain the uniformity-humidity change evaluation value; the uniformity-humidity change evaluation value is used to reflect the combined effect of the preset average humidity gradient and the average humidity change rate in the preset second time period on the humidity distribution uniformity of oat seeds; After analyzing the degree of approximation between the preset average humidity gradient and the average humidity gradient, then analyze the degree of approximation between the preset oat seed moisture content and the final oat seed moisture content, and then perform a weighted operation by combining the preset gradient-seed moisture weight value to obtain the uniformity-seed moisture evaluation value; the uniformity-humidity change evaluation value is used to reflect the combined effect of the preset average humidity gradient and the final oat seed moisture content in the preset second time period on the humidity distribution uniformity of oat seeds; After analyzing the degree of approximation between the preset average humidity gradient and the average humidity gradient, then analyze the degree of approximation between the preset average hydrolysis rate and the average hydrolysis rate, and then perform a weighted operation by combining the preset gradient-hydrolysis weight value to obtain the uniformity-hydrolysis evaluation value; the uniformity-humidity change evaluation value is used to reflect the combined effect of the preset average humidity gradient and the average hydrolysis rate in the preset second time period on the humidity distribution uniformity of oat seeds; After analyzing the degree of approximation between the preset average humidity gradient and the average humidity gradient, then analyze the degree of approximation between the average seed moisture absorption time and the preset average seed moisture absorption time, and then perform a weighted operation by combining the preset gradient-moisture absorption weight value to obtain the uniformity-moisture absorption evaluation value; the uniformity-humidity change evaluation value is used to reflect the combined effect of the preset average humidity gradient and the average seed moisture absorption time in the preset second time period on the humidity distribution uniformity of oat seeds; After performing a coupling process on the humidity uniformity data group, perform a weighted operation with the preset humidity uniformity weight to obtain the humidity distribution uniformity value; the humidity distribution uniformity value is used to reflect the influence of the humidity distribution uniformity parameters in the preset second time period and the preset humidity distribution uniformity parameters on the humidity distribution uniformity of oat seeds.

[0031] Among them, the humidity distribution uniformity value is obtained by the following method: ; In the formula, represents the humidity distribution uniformity value of unqualified oat seeds in the s-th preset second time period, , s represents the number of the preset second time period, k represents the total number of the preset second time periods, represents the uniformity-humidity change evaluation value of unqualified oat seeds in the s-th preset second time period, represents the uniformity-seed moisture evaluation value of unqualified oat seeds in the s-th preset second time period, Denotes the uniformity-hydrolysis evaluation value of unqualified oat seeds in the s-th preset second time period, Denotes the uniformity-moisture absorption evaluation value of unqualified oat seeds in the s-th preset second time period, Denotes the preset humidity uniformity weight.

[0032] Specifically, the expression for the uniformity-humidity change evaluation value is , where Denotes the preset gradient-humidity change weight value, Denotes the average humidity gradient of unqualified oat seeds in the s-th preset second time period, Denotes the preset average humidity gradient, Denotes the average humidity change rate of unqualified oat seeds in the s-th preset second time period, Denotes the preset average humidity change rate.

[0033] The expression for the uniformity-seed moisture content evaluation value is , where Denotes the preset gradient-seed moisture content weight value, Denotes the moisture content of the final-state oat seeds of unqualified oat seeds in the s-th preset second time period, Denotes the preset oat seed moisture content.

[0034] The expression for the uniformity-hydrolysis evaluation value is , where Denotes the preset gradient-hydrolysis weight value, Denotes the average hydrolysis rate of unqualified oat seeds in the s-th preset second time period, Denotes the preset average hydrolysis rate.

[0035] The expression for the uniformity-moisture absorption evaluation value is , where Denotes the preset gradient-moisture absorption weight value, Denotes the average seed moisture absorption time of unqualified oat seeds in the s-th preset second time period, Denotes the preset average seed moisture absorption time.

[0036] In this embodiment, the humidity distribution uniformity value is obtained by analyzing the humidity uniformity data set. The larger the uniformity-humidity change evaluation value, the stronger the combined effect of the average humidity gradient and the average humidity change rate on the humidity distribution uniformity of oat seeds, resulting in a larger humidity distribution uniformity value; the larger the uniformity-humidity change evaluation value, the stronger the combined effect of the average humidity gradient and the moisture content of the final oat seeds on the humidity distribution uniformity of oat seeds, resulting in a larger humidity distribution uniformity value; the larger the uniformity-humidity change evaluation value, the stronger the combined effect of the average humidity gradient and the average hydrolysis rate on the humidity distribution uniformity of oat seeds, resulting in a larger humidity distribution uniformity value; the larger the uniformity-humidity change evaluation value, the stronger the combined effect of the average humidity gradient and the average seed moisture absorption time on the humidity distribution uniformity of oat seeds, resulting in a larger humidity distribution uniformity value. In summary, the humidity uniformity data set is directly proportional to the humidity distribution uniformity value.

[0037] In this embodiment, the humidity distribution uniformity parameters do not exist independently and are interrelated, and need to be comprehensively analyzed. The larger the average humidity gradient, the higher the humidity environment that some oat seeds may be in, which will directly affect the moisture content of the final oat seeds, resulting in a larger moisture content of the final oat seeds; the larger the humidity gradient, the faster the hydrolysis reaction may be, resulting in an accelerated decomposition of the substances in the seeds, and thus a larger average hydrolysis rate; the faster the average humidity change rate, the higher the possibility of the change in the moisture content of the seeds, which in turn affects the moisture content of the final oat seeds; the larger the moisture content of the final oat seeds, the faster the hydrolysis reaction may be, resulting in more decomposition products, and thus a larger average hydrolysis rate; the longer the average seed moisture absorption time, the more time the moisture inside the oat seeds has to be evenly distributed, which in turn affects the humidity distribution uniformity value, resulting in a larger humidity distribution uniformity value. By analyzing the comprehensive influence between the parameters, the accurate evaluation of the humidity distribution uniformity of oat seeds in the preset second time period is realized, and the accuracy of the antioxidant activity detection of oat seeds is improved.

[0038] Among them, this embodiment provides two mapping groups obtained from the database, and each mapping group contains a mapping set. The mapping relationship in the mapping set can be one-to-one or many-to-one. One group is used to reflect the mapping relationship between the humidity uniformity data set and the corresponding preset humidity uniformity weight, and one group is used to reflect the mapping relationship between the humidity distribution uniformity parameters and the corresponding preset humidity uniformity analysis weight group; by inputting the real-time humidity uniformity data set into the mapping group, the corresponding preset humidity uniformity weight can be obtained, and by inputting the real-time humidity distribution uniformity parameters into the mapping group, the corresponding preset humidity uniformity analysis weight group can be obtained; for example, the value range of the weight is 0-1.

[0039] Further, the specific process of optimizing the humidity distribution uniformity is as follows: ST1, send a prompt to a preset person to turn on a preset air circulation device, and monitor the humidity distribution uniformity value during the preset air supply time period after it is turned on; ST2, perform humidity distribution algorithm control based on the humidity distribution uniformity value; ST3, send a dynamic humidity distribution adjustment prompt to the preset air circulation device based on the humidity distribution difference value and the humidity distribution control signal, and stop execution when the humidity distribution difference value is not greater than the preset humidity distribution difference value obtained from the database and the average value of the humidity fluctuation of the oat seeds is not greater than the preset humidity fluctuation average value; the humidity distribution algorithm control means obtaining the humidity distribution uniformity value and the corresponding target value, as well as the humidity distribution control signal based on the PID (Proportion, Integral, Differential) control algorithm; the humidity distribution difference value is represented by the difference between the humidity distribution uniformity value and the corresponding target value (only considering the case where the humidity distribution uniformity value is greater than the corresponding target value); the dynamic adjustment of the humidity distribution means sending a prompt to a preset person to set the adjustment multiple of the wind speed of the preset air circulation device.

[0040] In this embodiment, the preset humidity distribution difference value is represented by the average value of the humidity distribution difference values in the historical time period; when receiving the dynamic humidity distribution adjustment prompt, the wind speed of the preset air circulation device (such as a fan) is dynamically set. For example, when the humidity distribution difference value is greater than a preset multiple (generally 2 times) of the preset humidity distribution difference value, the wind speed of the preset air circulation device is set to be greater than a preset multiple (generally 2 times) of the preset wind speed threshold, and the preset wind speed threshold is represented by the average value of the wind speeds of the preset air circulation device in the preset storage space in the historical time period; when the oat seeds are in a high humidity environment, the antioxidant components are likely to interact with water molecules, resulting in decomposition or inactivation. By precisely controlling the humidity distribution uniformity, it helps to protect the antioxidant components inside the oat seeds, maintain the antioxidant activity of the oat seeds, and thus achieve a more accurate detection of the antioxidant activity of the oat seeds.

[0041] Furthermore, the specific process of humidity fluctuation qualification analysis is as follows: perform a proportion analysis on the second humidity fluctuation average value and the preset humidity fluctuation average value to obtain a humidity fluctuation reflection value; after performing a proportion analysis on the seed moisture content fluctuation value and the preset moisture content fluctuation value, combine the humidity fluctuation reflection value, as well as the results of the proportion analysis of the preset moisture content fluctuation weight and the preset humidity fluctuation comprehensive weight, to perform a weighted operation to obtain a fluctuation-moisture content fluctuation reflection value; the fluctuation-moisture content fluctuation reflection value is used to reflect the comprehensive effect of the second humidity fluctuation average value and the seed moisture content fluctuation value acting together on the humidity fluctuation qualification of oat seeds during the preset second time period; after performing a proportion analysis on the average moisture evaporation rate and the preset average moisture evaporation rate, combine the preset evaporation rate weight, as well as the results of the proportion analysis of the preset evaporation rate weight and the preset humidity fluctuation comprehensive weight, to perform a weighted operation to obtain a fluctuation-evaporation rate reflection value; the fluctuation-evaporation rate reflection value is used to reflect the comprehensive effect of the second humidity fluctuation average value and the average moisture evaporation rate acting together on the humidity fluctuation qualification of oat seeds during the preset second time period; after performing a proportion analysis on the humidity difference value and the preset humidity difference value, combine the preset humidity difference weight, as well as the results of the proportion analysis of the preset humidity difference weight and the preset humidity fluctuation comprehensive weight, to perform a weighted operation to obtain a fluctuation-humidity difference reflection value; the fluctuation-humidity difference reflection value is used to reflect the comprehensive effect of the second humidity fluctuation average value and the humidity difference value acting together on the humidity fluctuation qualification of oat seeds during the preset second time period; after performing a proportion analysis on the moisture content of the final oat seeds and the preset moisture content of the oat seeds, combine the preset moisture content weight, as well as the results of the proportion analysis of the preset moisture content weight and the preset humidity fluctuation comprehensive weight, to perform a weighted operation to obtain a fluctuation-moisture content reflection value; the fluctuation-humidity difference reflection value is used to reflect the comprehensive effect of the second humidity fluctuation average value and the moisture content of the final oat seeds acting together on the humidity fluctuation qualification of oat seeds during the preset second time period; after performing a coupling process on the humidity fluctuation qualification data set, perform a weighted operation and a negative correlation process with the preset humidity fluctuation weight to obtain a humidity fluctuation qualification value; the humidity fluctuation qualification value is used to reflect the influence of the humidity fluctuation parameter and the preset humidity fluctuation parameter on the humidity fluctuation qualification of oat seeds together.

[0042] Among them, the humidity fluctuation qualification value is obtained through the following method: ; In the formula, represents the humidity fluctuation qualification value of unqualified oat seeds in the s-th preset second time period, , s represents the number of the preset second time period, k represents the total number of the preset second time periods, represents the fluctuation-moisture content fluctuation reflection value of unqualified oat seeds in the s-th preset second time period, Denote the fluctuation-evaporation rate reflection value of unqualified oat seeds in the $s$-th preset second time period. Denote the fluctuation-humidity difference reflection value of unqualified oat seeds in the $s$-th preset second time period. Denote the fluctuation-water content reflection value of unqualified oat seeds in the $s$-th preset second time period. Denote the preset humidity fluctuation weight, and $e$ denote the natural constant.

[0043] Specifically, the expression of the fluctuation-water content fluctuation reflection value is , where Denote the preset water content fluctuation weight, Denote the water content fluctuation value of unqualified oat seeds in the $s$-th preset second time period, Denote the preset water content fluctuation value.

[0044] The expression of the fluctuation-evaporation rate reflection value is , where Denote the preset evaporation rate weight, Denote the average water evaporation rate of unqualified oat seeds in the $s$-th preset second time period, Denote the preset average water evaporation rate.

[0045] The expression of the fluctuation-humidity difference reflection value is , where Denote the preset humidity difference weight, Denote the humidity difference value of unqualified oat seeds in the $s$-th preset second time period, Denote the preset humidity difference value.

[0046] The expression of the fluctuation-water content reflection value is , where Denote the preset water content weight, Denote the final state oat seed water content of unqualified oat seeds in the $s$-th preset second time period, Denote the preset humidity difference value, Denote the preset oat seed water content.

[0047] In the above formula Denote the humidity fluctuation reflection value of unqualified oat seeds in the $s$-th preset second time period, and the specific expression is , and $h$ denote the preset humidity fluctuation comprehensive weight, and the specific expression is , Denote the second humidity fluctuation average value of unqualified oat seeds in the $s$-th preset second time period, Denote the preset humidity fluctuation average value, and $h$ denote the preset humidity fluctuation comprehensive weight.

[0048] In this embodiment, the qualified humidity fluctuation value is obtained by analyzing the qualified humidity fluctuation data set. In this embodiment, the range of the qualified humidity fluctuation value is greater than 1 to amplify the allowable fluctuation range of the data of the qualified humidity fluctuation value. The larger the fluctuation - moisture content fluctuation reflection value, the stronger the combined effect of the second humidity fluctuation average value and the seed moisture content fluctuation value on the qualified humidity fluctuation of oat seeds, resulting in a smaller qualified humidity fluctuation value; the larger the fluctuation - evaporation rate reflection value, the stronger the combined effect of the second humidity fluctuation average value and the average moisture evaporation rate on the qualified humidity fluctuation of oat seeds, resulting in a smaller qualified humidity fluctuation value; the larger the fluctuation - humidity difference reflection value, the stronger the combined effect of the second humidity fluctuation average value and the humidity difference value on the qualified humidity fluctuation of oat seeds, resulting in a smaller qualified humidity fluctuation value; the larger the fluctuation - moisture content reflection value, the stronger the combined effect of the second humidity fluctuation average value and the moisture content of the final - state oat seeds on the qualified humidity fluctuation of oat seeds, resulting in a smaller qualified humidity fluctuation value. In summary, there is a negative correlation between the qualified humidity fluctuation data set and the qualified humidity fluctuation value.

[0049] In this embodiment, the humidity fluctuation parameters do not exist independently and are interrelated, and comprehensive analysis is required. The larger the second humidity fluctuation average value, it may lead to uneven water distribution inside the seeds, and further cause a larger seed moisture content fluctuation value; the larger the average moisture evaporation rate, the faster the water loss on the surface of oat seeds, which may cause the surface of the seeds to dry rapidly while the internal water has no time to diffuse, resulting in uneven humidity distribution, and further affecting the second humidity fluctuation average value, leading to a larger second humidity fluctuation average value; the larger the seed moisture content fluctuation value, the faster the water loss inside the seeds, thus resulting in a larger seed moisture content fluctuation value; the larger the humidity difference value, it means the greater the humidity difference of oat seeds, and the water lost by oat seeds may be different, and further affect the moisture content of the final - state oat seeds; by analyzing the comprehensive influence between parameters, the accurate assessment of the qualified humidity fluctuation of oat seeds in the preset second time period is realized, and further the more accurate detection of the antioxidant activity of oat seeds is realized.

[0050] Among them, this embodiment provides two mapping groups obtained from the database, and each contains a mapping set. The mapping relationship in the mapping set can be a one - to - one or many - to - one relationship. One group is used to reflect the mapping relationship between the qualified humidity fluctuation data set and the corresponding preset humidity fluctuation weight, and one group is used to reflect the mapping relationship between the humidity fluctuation parameters and the corresponding preset humidity fluctuation analysis weight group; by inputting the real - time qualified humidity fluctuation data set into the mapping group, the corresponding preset humidity fluctuation weight can be obtained, and by inputting the real - time humidity fluctuation parameters into the mapping group, the corresponding preset humidity fluctuation analysis weight group can be obtained; for example, the value range of the weight is 0 - 1.

[0051] Further, the specific process of optimizing the humidity fluctuation qualification is as follows: In the first step, a prompt is sent to a preset person to turn on a preset dehumidification device, and the humidity fluctuation qualification value is monitored during the preset dehumidification time period after it is turned on; in the second step, humidity fluctuation qualification algorithm control is performed based on the humidity fluctuation qualification value; in the third step, a dynamic adjustment humidity fluctuation prompt is sent to the preset dehumidification device based on the humidity fluctuation qualification difference value and the humidity fluctuation control signal, and when the monitored humidity fluctuation qualification difference value is not greater than the preset humidity fluctuation qualification difference value obtained from the database and the average humidity fluctuation value of the oat seeds is not greater than the preset average humidity fluctuation value, the execution is stopped; the humidity fluctuation qualification algorithm control means obtaining the humidity fluctuation qualification value and the corresponding target value, as well as the humidity fluctuation control signal based on the PID control algorithm; the humidity fluctuation qualification difference value is represented by the absolute value of the difference between the humidity fluctuation qualification value and the corresponding target value; the dynamic adjustment of the humidity fluctuation means sending a prompt to the preset person to set the adjustment multiple of the dehumidification duration of the preset dehumidification device.

[0052] In this embodiment, the preset humidity fluctuation qualification difference value is represented by the average value of the humidity fluctuation qualification difference values in the historical time period; when receiving the dynamic adjustment humidity fluctuation prompt, the dehumidification duration of the preset dehumidification device (such as, the dehumidification air duct) is dynamically set. For example, when the humidity fluctuation qualification difference value is greater than a preset multiple (generally 2 times) of the preset humidity fluctuation qualification difference value, the dehumidification duration of the preset dehumidification device is set to be greater than a preset multiple (generally 2 times) of the preset dehumidification duration threshold, and the preset dehumidification duration threshold is represented by the average value of the dehumidification durations of the preset dehumidification device in the preset storage space in the historical time period; the antioxidant active ingredients in oat seeds are extremely sensitive to humidity conditions. A high-humidity environment may cause these ingredients to decompose or become inactivated. In areas with humid climates or frequent rainfall, the humidity conditions of oat seeds may be inaccurately controlled, which may affect the accuracy of the antioxidant activity detection results. By precisely controlling the humidity fluctuation, it can be ensured that the oat seeds are always within an appropriate humidity range during storage, thereby effectively protecting the internal antioxidant active ingredients and further enabling more accurate detection of the antioxidant activity of oat seeds.

[0053] Further, the specific process of obtaining qualified antioxidant activity detection data is as follows: Grind the qualified oat seeds and conduct antioxidant activity detection; Monitor the initial absorbance and final absorbance within a preset third time period to obtain the absorbance change value; Compare the absorbance change value with the preset absorbance change range obtained from the database to obtain qualified antioxidant activity detection data; The qualified antioxidant activity detection data represents the antioxidant activity detection data corresponding to the qualified oat seeds with an average humidity fluctuation of the oat seeds not greater than the preset average humidity fluctuation, and at the same time, the absorbance change value is within the preset absorbance change range; The absorbance change value is represented by the absolute value corresponding to the difference between the initial absorbance and the final absorbance; The qualified oat seeds represent the oat seed samples with an average humidity fluctuation of the oat seeds not greater than the preset average humidity fluctuation; The antioxidant activity detection means detection is carried out by the DPPH (1,1-Diphenyl-2-picrylhydrazyl radical) free radical scavenging method.

[0054] It should be added that, as Figure 2 shown, it is the structural diagram of an antioxidant activity detection device for oat seeds provided by an embodiment of the present application. An antioxidant activity detection device for oat seeds provided by an embodiment of the present application includes an average humidity fluctuation detection module, a humidity control analysis module, and a seed grinding and antioxidant activity detection module: Among them, the average humidity fluctuation detection module is used to detect the average humidity fluctuation of oat seeds and determine whether to conduct seed grinding and antioxidant activity detection; The humidity control analysis module is used to, if seed grinding and antioxidant activity detection are not carried out, conduct humidity control analysis based on the obtained oat seed humidity optimization data and determine whether to conduct humidity control optimization; The seed grinding and antioxidant activity detection module is used to obtain qualified antioxidant activity detection data if seed grinding and antioxidant activity detection are carried out.

[0055] Among them, an embodiment of the present application also provides a computer-readable storage medium for storing a program, and when the program is executed by a processor, it implements an antioxidant activity detection method for oat seeds.

[0056] In this embodiment, the preset absorbance change range is set in advance by a preset person; By comparing the absorbance change value with the preset absorbance change range, oat seed samples with qualified antioxidant activity (qualified oat seeds with an average humidity fluctuation of the oat seeds not greater than the preset average humidity fluctuation and at the same time, the absorbance change value is within the preset absorbance change range) can be screened out; Through the precise quantification of humidity control and antioxidant activity, it helps to reduce the deviation of the antioxidant activity detection results of oat seeds caused by a high-humidity environment, and thus achieves the effect of improving the accuracy of the antioxidant activity detection of oat seeds.

[0057] In summary, in the embodiments of the present application, by detecting the average humidity fluctuation of oat seeds and determining whether to perform seed grinding and antioxidant activity detection, if seed grinding and antioxidant activity detection are not performed, humidity control analysis is performed based on the obtained oat seed humidity optimization data and it is determined whether to perform humidity control optimization. If seed grinding and antioxidant activity detection are performed, qualified antioxidant activity detection data is obtained, thereby improving the accuracy of oat seed humidity control analysis, and further achieving more accurate detection of the antioxidant activity of oat seeds, effectively solving the problem that the antioxidant activity detection of oat seeds in the prior art does not fully consider the seed humidity.

[0058] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0060] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0061] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are performed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide for implementing the specified functions in Figure 1 one process or multiple processes and / or blocksFigure 1 Steps of the functions specified in one or more boxes.

[0062] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for detecting the antioxidant activity of oat seeds, characterized in that: The following steps are involved: Conduct oat seed average moisture fluctuation test and decide whether to perform seed grinding and antioxidant activity test; If seed grinding and antioxidant activity testing are not performed, humidity control analysis is performed based on the obtained oat seed humidity optimization data, and it is determined whether humidity control optimization is performed; If seed grinding and antioxidant activity testing are performed, qualified antioxidant activity test data will be obtained.

2. The method for detecting the antioxidant activity of oat seeds according to claim 1, characterized in that: The specific process of detecting the average humidity fluctuation of oat seeds and determining whether to perform seed grinding and antioxidant activity detection is as follows: Obtaining an average value of humidity fluctuation of oat seeds within a preset first time period, and determining whether the average value of humidity fluctuation of oat seeds is greater than a preset average value of humidity fluctuation; When the average value of humidity fluctuation of oat seeds is not greater than the preset average value of humidity fluctuation, it indicates that the oat seed samples have passed the initial screening, and the seeds are ground and tested for antioxidant activity; When the average value of humidity fluctuation of oat seeds is greater than the preset average value of humidity fluctuation, it indicates that the oat seed sample fails the initial screening and humidity control analysis is performed; The humidity control analysis includes humidity distribution uniformity analysis and humidity fluctuation qualification analysis.

3. The method for detecting the antioxidant activity of oat seeds according to claim 1, characterized in that: The oat seed moisture optimization data includes a moisture uniformity data group and a moisture fluctuation qualified data group; The moisture uniformity data group is used to quantify the comprehensive influence of the moisture distribution uniformity parameter and the preset moisture distribution uniformity parameter on the moisture distribution uniformity of oat seeds, specifically including uniformity-humidity change evaluation value, uniformity-seed moisture content evaluation value, uniformity-hydrolysis evaluation value, and uniformity-moisture absorption evaluation value; The humidity fluctuation qualified data group represents the quantitative data of the comprehensive influence of the humidity fluctuation parameter and the preset humidity fluctuation parameter on the qualified situation of the humidity fluctuation of the oat seeds, specifically including the fluctuation-water content fluctuation reflection value, the fluctuation-evaporation rate reflection value, the fluctuation-humidity difference reflection value, and the fluctuation-water content reflection value; The humidity distribution uniformity parameters include the average humidity gradient, the average humidity change rate, the final oat seed moisture content, the average hydrolysis rate, and the average seed moisture absorption time; The humidity fluctuation parameters include the second humidity fluctuation average value, the seed moisture content fluctuation value, the water evaporation rate average value, the humidity difference value, and the final state oat seed moisture content; The humidity control optimization includes humidity distribution uniformity optimization and humidity fluctuation conformity optimization.

4. A method for detecting the antioxidant activity of oat seeds as claimed in claim 3, characterized in that: The specific process of the humidity distribution uniformity analysis is as follows: First, the preset humidity gradient average value and the humidity gradient average value are analyzed for their approach degree, and then the preset humidity change rate average value and the humidity change rate average value are analyzed for their approach degree. Then, a weighted operation is performed in combination with the preset gradient-humidity change weight value to obtain a uniformity-humidity change evaluation value, which is used to reflect the combined effect of the preset second time period humidity gradient average value and humidity change rate average value on the uniformity of the humidity distribution of oat seeds; First, after the approach degree analysis is performed on the preset humidity gradient average value and the humidity gradient average value, and then the approach degree analysis is performed on the preset oat seed moisture content and the final oat seed moisture content, a weighted operation is performed in combination with the preset gradient-seed moisture content weight value to obtain a uniformity-seed moisture content evaluation value, which is used to reflect the combined effect of the preset second time period humidity gradient average value and the final oat seed moisture content on the uniformity of the oat seed moisture distribution; First, after the preset humidity gradient average value and the humidity gradient average value are analyzed for their approach degree, and then the preset hydrolysis rate average value and the hydrolysis rate average value are analyzed for their approach degree, a weighted operation is performed in combination with the preset gradient-hydrolysis weight value to obtain a uniformity-hydrolysis evaluation value, which is used to reflect the combined effect of the preset second time period humidity gradient average value and the hydrolysis rate average value on the uniformity of the humidity distribution of the oat seeds; First, after analyzing the degree of convergence of the preset humidity gradient average value and the humidity gradient average value, and then analyzing the degree of convergence of the seed moisture absorption time average value and the preset seed moisture absorption time average value, a weighted operation is performed in combination with the preset gradient-moisture absorption weight value to obtain a uniformity-moisture absorption evaluation value, which is used to reflect the combined effect of the preset second time period humidity gradient average value and the seed moisture absorption time average value on the uniformity of oat seed moisture distribution; After coupling processing of the humidity uniformity data group, a weighted operation is performed with the preset humidity uniformity weight to obtain a humidity distribution uniformity value, which is used to reflect the influence of the humidity distribution uniformity parameter of the preset second time period and the preset humidity distribution uniformity parameter on the humidity distribution uniformity of oat seeds.

5. A method for detecting the antioxidant activity of oat seeds as claimed in claim 4, characterized in that: The specific process of optimizing the uniformity of humidity distribution is as follows: ST1, send a reminder to the preset personnel to turn on the preset air circulation device, and monitor the humidity distribution uniformity value during the preset air supply time period; ST2, humidity distribution algorithm control based on humidity distribution uniformity value; ST3, based on the humidity distribution difference value and the humidity distribution control signal, sends a dynamic adjustment humidity distribution prompt to the preset air circulation device. When the humidity distribution difference value is not greater than the preset humidity distribution difference value obtained from the database, and the average humidity fluctuation value of the oat seeds is not greater than the preset humidity fluctuation average value, stop execution.

6. A method for detecting the antioxidant activity of oat seeds as claimed in claim 2, characterized in that: The specific process of the humidity fluctuation qualification analysis is as follows: Performing a proportion analysis on the second humidity fluctuation average value and the preset humidity fluctuation average value to obtain a humidity fluctuation reflection value; After analyzing the proportion of the seed moisture content fluctuation value and the preset moisture content fluctuation value, weighted calculation is performed on the results of the proportion analysis of the humidity fluctuation reflection value, the preset moisture content fluctuation weight, and the preset humidity fluctuation comprehensive weight to obtain a fluctuation-moisture content fluctuation reflection value, which is used to reflect the comprehensive effect of the second humidity fluctuation average value and the seed moisture content fluctuation value acting together on the qualified humidity fluctuation of the oat seeds in the preset second time period; After analyzing the proportion of the average water evaporation rate and the preset average water evaporation rate, a weighted operation is performed on the results of the proportion analysis based on the preset evaporation rate weight and the preset evaporation rate weight and the preset humidity fluctuation comprehensive weight to obtain a fluctuation-evaporation rate reflection value, which is used to reflect the comprehensive effect of the second humidity fluctuation average value and the water evaporation rate average value acting on the qualified humidity fluctuation of oat seeds in the preset second time period; After analyzing the proportion of the humidity difference value and the preset humidity difference value, a weighted operation is performed on the results of the proportion analysis based on the preset humidity difference weight and the preset humidity difference weight and the preset humidity fluctuation comprehensive weight to obtain a fluctuation-humidity difference reflection value, which is used to reflect the comprehensive effect of the second humidity fluctuation average value and the humidity difference value acting on the qualified humidity fluctuation of the oat seeds in the preset second time period; After analyzing the proportion of the final oat seed moisture content and the preset oat seed moisture content, a weighted calculation is performed on the results of the proportion analysis based on the preset moisture weight and the preset moisture weight and the preset humidity fluctuation comprehensive weight to obtain a fluctuation-moisture reflection value, which is used to reflect the comprehensive effect of the second humidity fluctuation average value and the final oat seed moisture content acting on the qualified situation of the humidity fluctuation of the oat seeds in the preset second time period; After coupling processing of the humidity fluctuation qualified data group, weighted operation and negative correlation processing were performed with the preset humidity fluctuation weight to obtain the humidity fluctuation qualified value, which is used to reflect the joint influence of the humidity fluctuation parameter and the preset humidity fluctuation parameter on the humidity fluctuation qualified situation of oat seeds.

7. A method for detecting the antioxidant activity of oat seeds as claimed in claim 6, characterized in that: The specific process of the humidity fluctuation eligibility optimization is as follows: The first step is to send a reminder to the preset personnel to turn on the preset dehumidification equipment, and monitor the humidity fluctuation qualified value during the preset dehumidification time period; The second step is to control the humidity fluctuation qualification algorithm based on the humidity fluctuation qualified value; The third step is to send a dynamic adjustment humidity fluctuation prompt to a preset dehumidification device based on the humidity fluctuation qualified difference value and the humidity fluctuation control signal, and stop the execution when the monitored humidity fluctuation qualified difference value is not greater than the preset humidity fluctuation qualified difference value obtained from the database and the oat seed humidity fluctuation average value is not greater than the preset humidity fluctuation average value; The humidity fluctuation qualification algorithm control means obtaining a humidity fluctuation qualification value and a corresponding target value, as well as a humidity fluctuation control signal based on a PID control algorithm.

8. The method for detecting the antioxidant activity of oat seeds according to claim 1, characterized in that: The specific process of obtaining qualified antioxidant activity test data is as follows: Grinding and antioxidant activity testing of qualified oat seeds; Monitoring the initial state absorbance and the final state absorbance within a preset third time period to obtain an absorbance change value; Compare the absorbance change value with the preset absorbance change range obtained from the database to obtain qualified antioxidant activity test data; The qualified antioxidant activity test data indicates the antioxidant activity test data corresponding to the qualified oat seeds whose humidity fluctuation average value is not greater than the preset humidity fluctuation average value and whose absorbance change value is within the preset absorbance change range.

9. A device for detecting the antioxidant activity of oat seeds, characterized in that: Including average humidity fluctuation detection module, humidity control analysis module and seed grinding and antioxidant activity detection module: The average humidity fluctuation detection module is used to detect the average humidity fluctuation of oat seeds and determine whether to perform seed grinding and antioxidant activity detection; The humidity control analysis module is used to perform humidity control analysis based on the acquired oat seed humidity optimization data if seed grinding and antioxidant activity detection are not performed, and determine whether to perform humidity control optimization; The seed grinding and antioxidant activity detection module is used to obtain qualified antioxidant activity detection data if seed grinding and antioxidant activity detection are performed.

10. A computer-readable storage medium for storing a program, wherein when the program is executed by a processor, the method for detecting the antioxidant activity of oat seeds according to any one of claims 1 to 8 is implemented.

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