A control process for refining and extracting almond oil

Abstract

The invention relates to the technical field of refining and extraction, and in particular to a control process for refining and extracting almond oil, comprising: in a continuous refining process of almond oil, quality inspection is performed on the produced almond refined oil to obtain characteristic data of the almond refined oil; the quality of the almond refined oil is judged as a whole; according to a qualified oil quality signal or an unqualified oil quality signal, corresponding feedback is given to the continuous refining process of almond oil; the feedback includes early warning instructions; oil monitoring coefficients at different time points are analyzed to obtain an oil refining risk value, and a high-risk oil refining signal is generated; when a high-risk oil refining signal is obtained, an oil monitoring curve is correlated with an oil characteristic curve to determine its influencing characteristics, and then a process parameter regulation and control process is performed according to its influencing characteristics; the invention can not only effectively alleviate the problem of poor refining effect of the current almond oil, but also reserve more time for technical personnel to complete process inspection.

Description

Technical Field

[0001] The invention relates to the technical field of refining and extraction, in particular to a control process for refining and extracting almond oil. Background Art

[0002] The oil content of almonds is about 45%-60%, which is mainly composed of higher fatty acids such as oleic acid, linoleic acid, palmitic acid, palmitoleic acid, and linolenic acid. The content of saturated fatty acids is very low, and the content of unsaturated fatty acids is as high as more than 95%. Among the unsaturated fatty acids contained in almond oil, oleic acid, linoleic acid and linolenic acid account for about 96% of the total fatty acids, which has extremely high nutritional value. In addition, almond oil contains V A 、V E 、V D3 、V P And other vitamins, especially V D3 The content is as high as about 5mg / 100g, which is relatively rare in vegetable oils. D3 It affects the absorption and storage of calcium and phosphorus in the human body and plays an important role in the mineralization of human bones. Almond oil is rich in 8 essential amino acids for the human body and plays an important role in the growth and maintenance of the body. Almond oil is also rich in calcium, manganese, zinc, phosphorus, selenium and other mineral elements, which can enhance memory.

[0003] The high nutritional value of almond oil is based on the high quality control of the oil. In the prior art, the refining process of almond oil generally adopts a continuous production and processing method. When the refined almond oil is inspected, the quality inspection results obtained only evaluate the current oil quality. However, as the refining work continues, although there is no problem of poor oil quality at present, the risks in the process will gradually increase. It is impossible to control the refining process of almond oil according to the existing risks to ensure the quality of almond oil. Summary of the invention

[0004] The object of the present invention is to provide a control process for refining and extracting almond oil to solve at least one of the above-mentioned prior art problems.

[0005] A control process for refining and extracting almond oil, comprising dehydrating, decolorizing and deodorizing the almond oil to obtain refined almond oil, and further comprising the following steps: conducting quality inspection on the refined almond oil, and analyzing and regulating the refining process of the almond oil according to the quality inspection results, specifically: Step 1: In the almond oil continuous refining process, the quality of the almond refined oil produced is inspected to obtain characteristic data of the almond refined oil; Among them, the characteristic data include oil moisture value, oil color value, and oil odor value; Step 2: Independently evaluate the characteristic data of almond refined oil, and then make an overall judgment on the quality of almond refined oil to obtain a signal that the oil quality is qualified; Step 3: According to the oil quality qualified signal or the oil quality unqualified signal, the almond oil continuous refining process is given corresponding feedback; the feedback includes early warning instructions; Step 4: When an early warning instruction is received, the oil product monitoring coefficients at different time points are analyzed to obtain the oil product refining risk value, and a judgment is made based on the oil product refining risk value to generate an oil product refining high risk signal; Step 5: When a high-risk signal for oil refining is obtained, the oil monitoring curve is correlated with the oil characteristic curve to determine its influencing characteristics, and then the process parameters are adjusted according to its influencing characteristics.

[0006] As a further technical solution of the present invention: in step 2, if the oil moisture value is greater than or equal to the oil moisture threshold, an oil moisture abnormality signal is generated; if the oil color value is greater than or equal to the oil color threshold, an oil color normal signal is generated; if the oil odor value is greater than or equal to the oil odor threshold, an oil odor abnormality signal is generated; If a normal oil moisture signal, a normal oil color signal and a normal oil odor signal are generated at the same time, a qualified oil quality signal is further generated.

[0007] As a further technical solution of the present invention: in step 3, when the oil quality qualified signal is obtained, data fusion processing is performed based on the obtained oil moisture value, oil color value, and oil odor value, the oil monitoring coefficient is calculated, and an early warning instruction is generated to perform early warning work on the almond refined oil produced in real time; The specific process of data fusion processing is as follows: The oil moisture value is calculated by ratio with the oil moisture threshold to obtain the oil moisture qualified ratio; the oil color value is calculated by ratio with the oil color threshold to obtain the oil color qualified ratio; the oil odor value is calculated by ratio with the oil odor threshold to obtain the oil odor qualified ratio; By formula , the oil monitoring coefficient XY is calculated; among them, a1, a2, a3 are all weighted proportional coefficients, ZS is the qualified ratio of oil moisture, ZZ is the qualified ratio of oil color, and ZW is the qualified ratio of oil odor.

[0008] As a further technical solution of the present invention: in step 4, the oil refining risk value ZF is calculated by the formula ZF=(XS+XP)XS / TS; wherein XS is the coefficient of the proportion of the decline quantity, XP is the coefficient of the proportion of the quality decline, and TS is the average decline time; If the oil refining risk value ZF is greater than or equal to the oil refining risk threshold, an oil refining high risk signal is generated.

[0009] As a further technical solution of the present invention: the process of obtaining the decay quantity proportion coefficient is as follows: When an early warning instruction is received, the oil product monitoring coefficients at different time points are obtained and the oil product monitoring curve is obtained by fitting; Extract all the peak points in the oil product monitoring curve, calculate the time difference between two adjacent peak points, and obtain all the fluctuation durations in the oil product monitoring curve; Analyze all fluctuation durations, divide the process production time into n analysis stages, obtain the fluctuation duration in each analysis stage, calculate the average of the fluctuation duration in each analysis stage, and obtain the average of the fluctuation duration in each analysis stage; The difference between the average fluctuation duration of the previous analysis period and the average fluctuation duration of the next analysis period is calculated to obtain the difference in fluctuation duration between adjacent analysis stages; If the fluctuation duration difference between adjacent analysis stages is greater than the fluctuation duration difference threshold of adjacent analysis stages, the next analysis period is marked as a recession analysis stage; The number of recession analysis stages is counted, and the ratio of the number of recession analysis stages to the total number of analysis stages is processed to obtain the recession number ratio coefficient.

[0010] As a further technical solution of the present invention: the process of obtaining the mean decay time length is: The fluctuation durations of all recession analysis stages are averaged to obtain the mean recession duration.

[0011] As a further technical solution of the present invention: the process of obtaining the quality decay ratio is as follows: Analyze all the decline analysis stages, calculate the average value of the oil product monitoring coefficient in each decline analysis stage, and obtain the average value of the oil product monitoring coefficient in each decline analysis stage; The difference between the mean value of the oil product monitoring coefficient in the previous recession analysis stage and the mean value of the oil product monitoring coefficient in the next recession analysis stage is calculated to obtain the difference between the oil product monitoring coefficients in adjacent recession analysis stages; If the difference of oil quality monitoring coefficients in adjacent recession analysis stages is greater than the threshold of oil quality monitoring coefficient difference in adjacent recession analysis stages, the next recession analysis stage is marked as a quality recession stage; The number of quality decline stages is counted, and the ratio of the number of quality decline stages to the total number of decline analysis stages is processed to obtain the quality decline ratio coefficient.

[0012] As a further technical solution of the present invention: in step 5, the process of determining the influencing feature is: Obtain characteristic data at different time points and fit the oil characteristic curve; The oil monitoring curve is correlated with the oil characteristic curve. If the correlation between the oil monitoring curve and the oil characteristic curve is high, the characteristic data is marked as an influencing feature.

[0013] As a further technical solution of the present invention: the process of process parameter regulation and treatment is: When an influencing feature is determined, the preset process time corresponding to the feature is obtained, and the preset process time is multiplied by the processing time increase coefficient to obtain the process control time; the calculated process control time is sent to the processing process corresponding to the feature, and the time of the feature processing process is extended. During the time extension process of the feature processing process, its processing process is subjected to a process-based inspection.

[0014] As a further technical solution of the present invention: the process of obtaining the time-increase coefficient is as follows: Get the fluctuation duration corresponding to the recession analysis stage closest to the current time, and the fluctuation duration corresponding to the recession analysis stage farthest from the current time, and mark them as the fluctuation duration of the nearest recession stage and the fluctuation duration of the farthest recession stage respectively; The processing time increase coefficient is obtained by calculating the ratio of the fluctuation duration of the furthest recession stage to the fluctuation duration of the nearest recession stage.

[0015] Beneficial effects of the present invention: The present invention is to improve the process control of almond oil during continuous refining, and to evaluate the oil quality through the characteristic data of refined almond oil; as the almond oil refining work continues, although there is no problem of poor oil quality at present, the risks in the process will gradually increase. Based on this, the present application accurately analyzes the risk level of the almond oil in the refining process through the change of the fluctuation frequency of the oil monitoring coefficient. Under the premise of a high risk level, the oil monitoring curve and the oil characteristic curve are correlated and analyzed to accurately identify the processing technology that causes the risk change, and then the time of the processing technology is controlled and processed, which can not only effectively alleviate the problem of poor refining effect of the current almond oil, but also reserve more time for technical personnel to complete the process inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a production process flow chart of refining and extracting almond oil provided by the present invention; Figure 2 The present invention is a schematic diagram of the control process for refining and extracting almond oil. DETAILED DESCRIPTION

[0017] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0018] Embodiment 1 like Figure 1 and Figure 2 As shown, the present invention is a control process for refining and extracting almond oil, comprising the following steps: Dehydrating the almond oil, wherein the dehydration treatment includes stirring for 4 hours and the temperature is controlled at 85° C. to obtain dehydrated almond oil; Add the dehydrated almond oil into a decolorizing pot, and then add 10 g of activated carbon with a particle size of 300 meshes to obtain an almond oil mixture, wherein the weight ratio of the dehydrated almond oil to the activated carbon is 1000:2; let the almond oil mixture stand at 30° C. for 2 hours, and filter it through a blade to obtain filtered almond oil; The filtered almond oil is subjected to a deodorization treatment at a temperature of 190° C. and a pressure of −0.10 MPa to obtain almond refined oil; Conduct quality inspection on almond refined oil, and analyze and regulate the refining process of almond oil based on the inspection results; More specifically, the almond refined oil is subjected to quality inspection, and the specific steps of analyzing and regulating the refining process of the almond oil according to the quality inspection results are as follows: Step 1: In the almond oil continuous refining process, the quality of the almond refined oil produced is inspected to obtain characteristic data of the almond refined oil; Among them, the characteristic data include oil moisture value, oil color value, and oil odor value; In some embodiments, almond oil is generally refined using a continuous production process, that is, the equipment involved in almond oil refining works continuously to continuously produce almond refined oil; The moisture content of almond refined oil is tested by a trace moisture meter to obtain the moisture value of the oil; The color of almond refined oil is tested by a spectrophotometer to obtain the color value of the oil; The off-flavor of almond refined oil was detected by electronic nose to obtain the off-flavor value of the oil; Step 2: independently evaluate the characteristic data of almond refined oil, and then make an overall judgment on the quality of almond refined oil to obtain a signal of qualified oil quality or a signal of unqualified oil quality; In some embodiments, the oil moisture value, oil color value, and oil odor value are obtained and compared with corresponding thresholds respectively; If the moisture value of the oil product is greater than or equal to the moisture threshold of the oil product, it means that the moisture content of the almond refined oil does not meet the standard and does not meet the process standard, and an abnormal moisture signal of the oil product is generated; if the moisture value of the oil product is less than the moisture threshold of the oil product, it means that the moisture content of the almond refined oil meets the standard and meets the process standard, and a normal moisture signal of the oil product is generated; If the oil color value is greater than or equal to the oil color threshold, it means that the color of the almond refined oil meets the standard and conforms to the process standard, and a normal oil color signal is generated; if the oil color value is less than the oil color threshold, it means that the color of the almond refined oil does not meet the standard and does not conform to the process standard, and an abnormal oil color signal is generated; If the oil odor value is greater than or equal to the oil odor threshold, it means that the odor level of the almond refined oil does not meet the standard and does not meet the process standard, and an abnormal oil odor signal is generated; if the oil moisture value is less than the oil moisture threshold, it means that the odor level of the almond refined oil meets the standard and meets the process standard, and a normal oil odor signal is generated; If a normal oil moisture signal, a normal oil color signal and a normal oil odor signal are generated at the same time, it means that the indicators of the refined almond oil are qualified, and a qualified oil quality signal is further generated; otherwise (the otherwise situation specifically includes that one of the items is an abnormal signal, and the abnormal signal can be an abnormal oil moisture signal, an abnormal oil color signal and an abnormal oil odor signal), an unqualified oil quality signal is further generated; Step 3: According to the oil quality qualified signal or the oil quality unqualified signal, the almond oil continuous refining process is given corresponding feedback; the feedback work includes early warning instructions and inspection instructions; In some embodiments, when a signal of qualified oil quality is obtained, data fusion processing is performed based on the obtained oil moisture value, oil color value, and oil odor value, an oil monitoring coefficient is calculated, and an early warning instruction is generated to perform early warning work on the almond refined oil produced in real time; When a signal of unqualified oil quality is obtained, an inspection instruction is generated. When the inspection instruction is obtained, the almond oil continuous refining process is stopped in time, and the equipment involved in almond oil refining is inspected; Specifically, the specific process of data fusion processing is: The oil moisture value is calculated by ratio with the oil moisture threshold to obtain the oil moisture qualified ratio; the oil color value is calculated by ratio with the oil color threshold to obtain the oil color qualified ratio; the oil odor value is calculated by ratio with the oil odor threshold to obtain the oil odor qualified ratio; By formula , the oil monitoring coefficient XY is calculated; among them, a1, a2, and a3 are all weight ratio coefficients, a1+a2+a3=1, a1 can be taken as 0.26, a2 can be taken as 0.35, and a3 can be taken as 0.39; ZS is the qualified ratio of oil moisture, ZZ is the qualified ratio of oil color, and ZW is the qualified ratio of oil odor.

[0019] Embodiment 2 like Figure 2 As shown, the present invention is a control process for refining and extracting almond oil, which also includes: Step 4: When an early warning instruction is received, the oil product monitoring coefficients at different time points are analyzed to obtain the oil product refining risk value, and a judgment is made based on the oil product refining risk value to generate an oil product refining high risk signal or an oil product refining low risk signal; In some embodiments, when an early warning instruction is received, the oil product monitoring coefficients at different time points are obtained and sorted according to the process production time to obtain an oil product monitoring coefficient sequence; the oil product monitoring coefficient sequence is fitted by the least squares method to obtain an oil product monitoring curve; Analysis of oil product monitoring curve: Extract all the peak points in the oil product monitoring curve, calculate the time difference between two adjacent peak points, and obtain all the fluctuation durations in the oil product monitoring curve; Analyze all fluctuation durations, divide the process production time into n analysis stages, obtain the fluctuation duration in each analysis stage, calculate the average of the fluctuation duration in each analysis stage, and obtain the average of the fluctuation duration in each analysis stage; The difference between the average fluctuation duration of the previous analysis period and the average fluctuation duration of the next analysis period is calculated to obtain the difference in fluctuation duration between adjacent analysis stages; Compare the fluctuation duration difference value of adjacent analysis stages with the fluctuation duration difference threshold value of adjacent analysis stages; If the fluctuation duration difference between adjacent analysis stages is greater than the fluctuation duration difference threshold of adjacent analysis stages, it means that the fluctuation duration of the next analysis period is shorter than that of the previous analysis period, and the next analysis period is marked as a recession analysis stage; Count the number of recession analysis stages, and perform ratio processing on the number of recession analysis stages and the total number of analysis stages to obtain the recession number ratio coefficient; The fluctuation duration of all recession analysis stages is averaged to obtain the mean recession duration; Analyze all the decline analysis stages, calculate the average value of the oil product monitoring coefficient in each decline analysis stage, and obtain the average value of the oil product monitoring coefficient in each decline analysis stage; The difference between the mean value of the oil product monitoring coefficient in the previous recession analysis stage and the mean value of the oil product monitoring coefficient in the next recession analysis stage is calculated to obtain the difference between the oil product monitoring coefficients in adjacent recession analysis stages; comparing the difference of oil product monitoring coefficients in adjacent recession analysis stages with the threshold of oil product monitoring coefficient difference in adjacent recession analysis stages; If the difference of the oil product monitoring coefficients in adjacent recession analysis stages is greater than the threshold of the difference of the oil product monitoring coefficients in adjacent recession analysis stages, it means that the oil product quality in the next recession analysis stage is lower than that in the previous recession analysis stage, and the next recession analysis stage is marked as a quality recession stage; Count the number of quality decline stages, and perform a ratio process on the number of quality decline stages and the total number of decline analysis stages to obtain the quality decline ratio coefficient; The oil refining risk value ZF is calculated by the formula ZF=(XS+XP)XS / TS; among them, XS is the coefficient of decline quantity, XP is the coefficient of quality decline, and TS is the average decline duration; Compare the obtained oil refining risk value ZF with the oil refining risk threshold; If the oil refining risk value ZF is greater than or equal to the oil refining risk threshold, it means that in the continuous refining process of almond oil, there is a phenomenon that the frequency of oil quality fluctuations is getting higher and higher, and the degree of hidden risks in the refining process is getting higher and higher, and a high risk signal for oil refining is generated; If the oil refining risk value ZF is less than the oil refining risk threshold, it means that in the continuous refining process of almond oil, there is no phenomenon that the frequency of oil quality fluctuations is getting higher and higher, and the risk level hidden in the refining process is getting higher and higher, then a low risk signal for oil refining is generated; when the low risk signal for oil refining is given, the refining process of almond oil continues to work according to the current process parameters.

[0020] Embodiment 3 like Figure 2 As shown, the present invention is a control process for refining and extracting almond oil, which also includes: Step 5: When a high-risk signal for oil refining is obtained, the oil monitoring curve is correlated with the oil characteristic curve to determine its influencing characteristics, and then the process parameters are adjusted according to its influencing characteristics; In some embodiments, when a high-risk signal for oil refining is obtained, characteristic data at different time points are obtained and sorted according to the process production time to obtain a characteristic data sequence; the characteristic data sequence is fitted by the least squares method to obtain an oil characteristic curve; Perform correlation analysis on the oil monitoring curve and the oil characteristic curve. If the correlation between the oil monitoring curve and the oil characteristic curve is high, it means that the fluctuation of the oil characteristic has a high impact on the oil quality, and the characteristic data is marked as an impact characteristic. If the correlation between the oil monitoring curve and the oil characteristic curve is low, it means that the fluctuation of the oil characteristic has a low impact on the oil quality, and its characteristic data is marked as not affecting the characteristic; When the influencing feature is determined, the preset process time corresponding to the feature is obtained, and the preset process time is multiplied by the processing time increase coefficient to obtain the process control time; the calculated process control time is sent to the processing process corresponding to the feature, and the time of the feature processing process is extended. During the time extension process of the feature processing process, the processing process is checked in a process-based manner to find the fault abnormality point; The process of obtaining the processing time increase coefficient is as follows: Get the fluctuation duration corresponding to the recession analysis stage closest to the current time, and the fluctuation duration corresponding to the recession analysis stage farthest from the current time, and mark them as the fluctuation duration of the nearest recession stage and the fluctuation duration of the farthest recession stage respectively; The processing time increase coefficient is obtained by calculating the ratio of the fluctuation duration of the furthest recession stage to the fluctuation duration of the nearest recession stage; Exemplarily, the process of correlating the oil product monitoring curve with the oil product characteristic curve is as follows: The Pearson correlation coefficient can be used to perform correlation analysis between the oil monitoring curve and the oil characteristic curve; the Pearson correlation coefficient formula is:

[0021] Among them, x i and i are the values ​​of characteristic data and oil product monitoring coefficient at the i-th time point, and are the means of characteristic data and oil product monitoring coefficient, respectively, and n is the number of time points; In the association analysis, the value of r can be greater than or equal to 0.8; For example: when the influencing feature is the dehydration process, the dehydration process can be completed according to the dehydration process control time calculated above; when the influencing feature is the decolorization process, the decolorization process can be completed according to the decolorization process control time calculated above; when the influencing feature is the deodorization process, the deodorization process can be completed according to the deodorization process control time calculated above; The technical solution of the embodiment of the present invention is as follows: in the continuous refining process of almond oil, the almond refined oil produced is subjected to quality inspection to obtain characteristic data of the almond refined oil; the characteristic data of the almond refined oil is independently evaluated, and then the quality of the almond refined oil is judged as a whole to obtain a qualified oil quality signal or an unqualified oil quality signal; according to the qualified oil quality signal or the unqualified oil quality signal, corresponding feedback is given to the continuous refining process of almond oil; the feedback includes early warning instructions and inspection instructions; when the early warning instruction is obtained, the oil monitoring coefficients at different time points are analyzed to obtain the oil refining risk value, and a judgment is made according to the oil refining risk value to generate a high-risk signal for oil refining or a low-risk signal for oil refining; when a high-risk signal for oil refining is obtained, the oil monitoring curve is correlated with the oil characteristic curve to determine Its influencing characteristics, and then according to its influencing characteristics, process parameter regulation and control processing; the present invention is to improve the process control performed on almond oil during continuous refining, and the oil quality is evaluated through the characteristic data of almond refined oil; as the refining work continues, although there is no problem of poor oil quality at present, the risks in its process will gradually increase. Based on this, the risk level of almond oil in the refining process is accurately analyzed by the change of the fluctuation frequency of the oil monitoring coefficient. Under the premise of a large risk level, the oil monitoring curve and the oil characteristic curve are correlated and analyzed to accurately identify the processing technology that causes the risk change, and then the time of the processing technology is controlled and processed, which can not only effectively alleviate the problem of poor refining effect of current almond oil, but also reserve more time for technical personnel to complete process inspection.

[0022] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A control process for refining and extracting almond oil, comprising dehydrating, decolorizing and deodorizing the almond oil to obtain almond refined oil, characterized in that: The following steps are also included: Conduct quality inspection on almond refined oil, and analyze and regulate the refining process of almond oil based on the inspection results, specifically: Step 1: In the almond oil continuous refining process, quality inspection is performed on the almond refined oil produced to obtain characteristic data of the almond refined oil; Among them, the characteristic data include oil moisture value, oil color value, and oil odor value; Step 2: Independently evaluate the characteristic data of almond refined oil, and then make an overall judgment on the quality of almond refined oil to obtain a signal that the oil quality is qualified; Step 3: According to the oil quality qualified signal or the oil quality unqualified signal, the almond oil continuous refining process is given corresponding feedback; the feedback includes early warning instructions; Step 4: When an early warning instruction is received, the oil product monitoring coefficients at different time points are analyzed to obtain the oil product refining risk value, and a judgment is made based on the oil product refining risk value to generate an oil product refining high risk signal; Step 5: When a high-risk signal for oil refining is obtained, the oil monitoring curve is correlated with the oil characteristic curve to determine its influencing characteristics, and then the process parameters are adjusted according to its influencing characteristics.

2. A control process for refining and extracting almond oil according to claim 1, characterized in that: In step 2, if the oil moisture value is greater than or equal to the oil moisture threshold, an oil moisture abnormality signal is generated; if the oil color value is greater than or equal to the oil color threshold, an oil color normal signal is generated; if the oil odor value is greater than or equal to the oil odor threshold, an oil odor abnormality signal is generated; If a normal oil moisture signal, a normal oil color signal and a normal oil odor signal are generated at the same time, a qualified oil quality signal is further generated.

3. The control process for refining and extracting almond oil according to claim 1, characterized in that: In step 3, when the oil quality qualified signal is obtained, data fusion processing is performed based on the obtained oil moisture value, oil color value, and oil odor value, the oil monitoring coefficient is calculated, and an early warning instruction is generated to perform early warning work on the almond refined oil produced in real time; The specific process of data fusion processing is as follows: The oil moisture value is calculated by ratio with the oil moisture threshold to obtain the oil moisture qualified ratio; the oil color value is calculated by ratio with the oil color threshold to obtain the oil color qualified ratio; the oil odor value is calculated by ratio with the oil odor threshold to obtain the oil odor qualified ratio; By formula , the oil monitoring coefficient XY is calculated; among them, a1, a2, a3 are all weighted proportional coefficients, ZS is the qualified ratio of oil moisture, ZZ is the qualified ratio of oil color, and ZW is the qualified ratio of oil odor.

4. The control process for refining and extracting almond oil according to claim 1, characterized in that: In step 4, the oil refining risk value ZF is calculated by the formula ZF=(XS+XP)XS / TS; where XS is the coefficient of the proportion of the decline quantity, XP is the coefficient of the proportion of the quality decline, and TS is the average decline time; If the oil refining risk value ZF is greater than or equal to the oil refining risk threshold, an oil refining high risk signal is generated.

5. A control process for refining and extracting almond oil according to claim 4, characterized in that: The process of obtaining the coefficient of the proportion of the number of declines is as follows: When an early warning instruction is received, the oil product monitoring coefficients at different time points are obtained and the oil product monitoring curve is obtained by fitting; Extract all the peak points in the oil product monitoring curve, calculate the time difference between two adjacent peak points, and obtain all the fluctuation durations in the oil product monitoring curve; Analyze all fluctuation durations, divide the process production time into n analysis stages, obtain the fluctuation duration in each analysis stage, calculate the average of the fluctuation duration in each analysis stage, and obtain the average of the fluctuation duration in each analysis stage; The difference between the mean fluctuation duration of the previous analysis period and the mean fluctuation duration of the next analysis period is calculated to obtain the difference in fluctuation duration between adjacent analysis stages; If the fluctuation duration difference between adjacent analysis stages is greater than the fluctuation duration difference threshold of adjacent analysis stages, the next analysis period is marked as a recession analysis stage; The number of recession analysis stages is counted, and the ratio of the number of recession analysis stages to the total number of analysis stages is processed to obtain the recession number ratio coefficient.

6. A control process for refining and extracting almond oil according to claim 5, characterized in that: The process of obtaining the mean decay time is: The fluctuation durations of all recession analysis stages are averaged to obtain the mean recession duration.

7. A control process for refining and extracting almond oil according to claim 6, characterized in that: The process of obtaining the quality decay coefficient is as follows: Analyze all the decline analysis stages, calculate the average value of the oil product monitoring coefficient in each decline analysis stage, and obtain the average value of the oil product monitoring coefficient in each decline analysis stage; The difference between the mean value of the oil product monitoring coefficient in the previous recession analysis stage and the mean value of the oil product monitoring coefficient in the next recession analysis stage is calculated to obtain the difference between the oil product monitoring coefficients in adjacent recession analysis stages; If the difference of oil quality monitoring coefficients in adjacent recession analysis stages is greater than the threshold of oil quality monitoring coefficient difference in adjacent recession analysis stages, the next recession analysis stage is marked as a quality recession stage; The number of quality decline stages is counted, and the ratio of the number of quality decline stages to the total number of decline analysis stages is processed to obtain the quality decline ratio coefficient.

8. The control process for refining and extracting almond oil according to claim 1, characterized in that: In step 5, the process of determining the influencing features is: Obtain characteristic data at different time points and fit the oil characteristic curve; The oil monitoring curve is correlated with the oil characteristic curve. If the correlation between the oil monitoring curve and the oil characteristic curve is high, the characteristic data is marked as an influencing feature.

9. A control process for refining and extracting almond oil according to claim 8, characterized in that: The process of process parameter control is as follows: When an influencing feature is determined, the preset process time corresponding to the feature is obtained, and the preset process time is multiplied by the processing time increase coefficient to obtain the process control time; the calculated process control time is sent to the processing process corresponding to the feature, and the time of the feature processing process is extended. During the time extension process of the feature processing process, its processing process is subjected to a process-based inspection.

10. A control process for refining and extracting almond oil according to claim 9, characterized in that: The process of obtaining the processing time increase coefficient is: Get the fluctuation duration corresponding to the recession analysis stage closest to the current time, and the fluctuation duration corresponding to the recession analysis stage farthest from the current time, and mark them as the fluctuation duration of the nearest recession stage and the fluctuation duration of the farthest recession stage respectively; The processing time increase coefficient is obtained by calculating the ratio of the fluctuation duration of the furthest recession stage to the fluctuation duration of the nearest recession stage.

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