CN117225004B - Automatic control system for vegetable oil low-temperature extraction treatment based on Internet of things - Google Patents
Automatic control system for vegetable oil low-temperature extraction treatment based on Internet of things Download PDFInfo
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- 238000000605 extraction Methods 0.000 title claims abstract description 335
- 235000015112 vegetable and seed oil Nutrition 0.000 title claims abstract description 49
- 239000008158 vegetable oil Substances 0.000 title claims abstract description 49
- 239000000284 extract Substances 0.000 claims abstract description 170
- 238000012544 monitoring process Methods 0.000 claims abstract description 140
- 230000003647 oxidation Effects 0.000 claims abstract description 110
- 238000007254 oxidation reaction Methods 0.000 claims abstract description 110
- 238000004458 analytical method Methods 0.000 claims abstract description 31
- 230000008859 change Effects 0.000 claims description 55
- 239000002994 raw material Substances 0.000 claims description 29
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 18
- 239000000463 material Substances 0.000 claims description 16
- 239000002253 acid Substances 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 13
- 150000002978 peroxides Chemical class 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 10
- 238000010586 diagram Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 238000001816 cooling Methods 0.000 claims description 3
- 230000001419 dependent effect Effects 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims 1
- 238000005259 measurement Methods 0.000 abstract description 6
- 239000003921 oil Substances 0.000 description 13
- 235000019198 oils Nutrition 0.000 description 13
- 230000000694 effects Effects 0.000 description 12
- 239000004519 grease Substances 0.000 description 12
- 238000007731 hot pressing Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000010835 comparative analysis Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000003825 pressing Methods 0.000 description 2
- 238000000638 solvent extraction Methods 0.000 description 2
- 239000005418 vegetable material Substances 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002537 cosmetic Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000796 flavoring agent Substances 0.000 description 1
- 235000019634 flavors Nutrition 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- 230000035764 nutrition Effects 0.000 description 1
- 239000003960 organic solvent Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 235000021122 unsaturated fatty acids Nutrition 0.000 description 1
- 150000004670 unsaturated fatty acids Chemical class 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention belongs to the technical field of vegetable oil extraction control, and particularly relates to an automatic control system for low-temperature extraction treatment of vegetable oil based on the Internet of things, which comprises a monitoring equipment setting module, a monitoring time dividing module, an extraction temperature acquisition module, an extract oxidation monitoring analysis module, an extract yield measurement module, a temperature correlation oxidation analysis module, a temperature correlation yield analysis module, a proper extraction temperature identification module and an extraction alarm treatment module.
Description
Technical Field
The invention belongs to the technical field of vegetable oil extraction control, and particularly relates to an automatic control system for vegetable oil low-temperature extraction treatment based on the Internet of things.
Background
The vegetable oil has various advantages of health, sustainability, replaceability and the like due to the fact that the vegetable oil contains unsaturated fatty acid, so that the vegetable oil has wide application in various fields of food processing, industrial manufacturing, cosmetics, personal care products and the like, and further the production demand of the vegetable oil is more and more vigorous.
As is well known, the production of vegetable oil generally adopts an extraction process, but the temperature of the vegetable oil in the extraction process has a great influence on the extraction effect, which is mainly reflected in that the higher the temperature is, the greater the influence on the extraction effect is, while the extraction mode which is commonly used at present inevitably generates some heat in the extraction process, so that in order to ensure the extraction effect of the vegetable oil, the low-temperature control is needed in the extraction process.
Furthermore, the precondition of low-temperature control is to select proper extraction temperature, but in the prior art, the proper extraction temperature is selected mostly by taking the quality of grease as the selection basis, because the higher the temperature is, the oxidation speed of grease is accelerated, so that the quality of vegetable oil is reduced, and further, the nutrition components of the vegetable oil are reduced, the extraction effect is ignored, the quality of grease is improved, the proper extraction temperature for excessively pursuing the quality selection of grease is not suitable for the high yield of grease, the grease yield is easy to cause the difficulty in meeting the requirement, and the extraction effect is reduced, so that the proper extraction temperature selection of the vegetable oil in the prior art is too one-sided, the compromise of the quality of grease and the grease yield cannot be realized, the deviation pursuit of the extraction effect is easy to be caused, and the comprehensive guarantee of the extraction effect is unfavorable.
Disclosure of Invention
In view of the above, the invention provides an automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things, which solves the above-mentioned technical problems by comprehensively considering the influence of temperature on the quality of oil and the influence of temperature on the yield of oil when selecting a proper extraction temperature of vegetable oil.
The invention is realized by the following technical scheme: an automatic control system for low-temperature extraction treatment of vegetable oil based on the Internet of things, comprising: the monitoring equipment is provided with a module for setting a temperature sensor and an alarm on the vegetable oil extraction device, wherein the periphery of the vegetable oil extraction device is of a hollow structure, a water pipe is fixedly arranged in the hollow body, and the water pipe is connected with an external water tank.
The monitoring time dividing module is used for acquiring the target plant raw material type, the target plant raw material weight and the target extraction mode, analyzing the reference extraction time length and carrying out monitoring time division based on the reference extraction time length.
And the extraction temperature acquisition module is used for acquiring the extraction temperature at each monitoring moment by utilizing the temperature sensor.
And the extract oxidation monitoring analysis module is used for sampling the extract at each monitoring moment, further carrying out oxidation indication monitoring on the extract sample by utilizing the oxidation acquisition terminal, and analyzing the oxidation index of the extract at each monitoring moment according to the oxidation indication monitoring.
And the extract yield measuring module is used for measuring the extract yield at each monitoring moment by utilizing the yield monitoring terminal.
And the temperature-dependent oxidation analysis module is used for comparing the extraction temperature at each monitoring moment with the oxidation index of the extract and analyzing the degree of correlation between the extraction temperature and the oxidation of the extract.
And the temperature correlation yield analysis module is used for comparing the extraction temperature and the extract yield at each monitoring moment and analyzing the correlation degree of the extraction temperature and the extract yield.
And the suitable extraction temperature identification module is used for identifying the suitable extraction temperature according to the association degree of the extraction temperature and the oxidation of the extract and the association degree of the extraction temperature and the yield of the extract.
And the extraction alarm processing module is used for comparing the extraction temperature acquired by the temperature sensor with the proper extraction temperature in real time in the extraction process, starting the alarm to alarm when the extraction temperature is higher than the proper extraction temperature, and simultaneously starting the water tank to fill water into the hollow body of the vegetable oil extraction device by means of the water pipe for cooling treatment.
As a further innovation of the invention, the specific analysis process of the reference extraction duration is as follows: extracting plant raw material types and extraction modes corresponding to each extraction record from the historical extraction records, comparing the plant raw material types with target extraction modes, and screening extraction records with consistent comparison as reference extraction records.
Extracting a scatter diagram of plant raw material consumption and extraction time, which is constructed by taking the extraction time as an abscissa and the residual weight of plant raw materials as an ordinate, from each reference extraction record, performing linear regression analysis on the scatter diagram to generate a regression line, simultaneously acquiring the slope of the regression line, taking the slope as the unit plant raw material consumption extraction time corresponding to each reference extraction record, and performing average calculation to obtain the reference unit plant raw material consumption extraction time.
Multiplying the weight of the target plant material by the extraction time consumed by the reference unit plant material to obtain a reference extraction time.
As a further innovation of the invention, the specific implementation mode of monitoring time division based on the reference extraction time length is as follows: setting monitoring time from normal extraction time, and dividing the monitoring time by combining the initial extraction time according to set time intervals to obtain a plurality of monitoring times.
As a further innovation of the present invention, the oxidation indications include peroxide value and acid value.
As a further innovation of the invention, the analytical formula of the oxidation index of the extract at each monitoring moment is as followsIn the formula->、/>Respectively denoted as->Monitoring the oxidation number of the extract, the acid number of the extract, < >>Expressed as monitoring time number->，/>、/>Expressed as a pre-formulated safe peroxide number and safe acid number, respectively,/->Expressed as a natural constant.
As a further innovation of the invention, the association degree of the extraction temperature and the extract oxidation is specifically analyzed as follows: (1) And constructing a two-dimensional coordinate system by taking the monitoring time as an abscissa and the extraction temperature as an ordinate, and further marking a plurality of points in the constructed two-dimensional coordinate system aiming at the extraction temperature corresponding to each monitoring time to form an extraction temperature change curve.
(2) And constructing a two-dimensional coordinate system by taking the monitoring time as an abscissa and the extract oxidation index as an ordinate, and marking a plurality of points in the constructed two-dimensional coordinate system according to the extract oxidation index corresponding to each monitoring time to form an extract oxidation change curve.
(3) And respectively obtaining tangential slopes of the extraction temperature change curve and the extract oxidation change curve at each point.
(4) And respectively acquiring monitoring moments corresponding to each point in the extraction temperature change curve and the extraction oxidation change curve, grouping the points in the two change curves at the same monitoring moment to obtain slope groups corresponding to the monitoring moments, and differencing two slope values in the slope groups to obtain slope differences corresponding to the monitoring moments.
(5) Leading the slope difference corresponding to each monitoring time into a modelAnd calculating the correlation degree between the extraction temperature and the oxidation of the extract.
As a further innovation of the invention, the association degree of the extraction temperature and the extract yield is specifically analyzed as follows: and constructing a two-dimensional coordinate system by taking the monitoring moment as an abscissa and the extract yield as an ordinate, and further marking a plurality of points in the constructed two-dimensional coordinate system aiming at the extract yield corresponding to each monitoring moment to form an extract yield change curve.
And (3) calculating the correlation degree between the extraction temperature and the extract yield according to the steps (3) and (5) by using the extraction temperature change curve and the extract yield change curve.
As a further innovation of the present invention, the process of identifying a suitable extraction temperature is performed as follows: and firstly, arranging the extraction temperatures at all monitoring moments in a sequence from small to large to obtain an arrangement sequence of the extraction temperatures, and constructing a change curve of an oxidation index of the extract along with the extraction temperature and a change curve of the yield of the extract along with the extraction temperature according to the arrangement sequence.
And a second step of obtaining the tangential slope of each point in the change curve of the oxidation index of the extract along with the extraction temperature, further selecting the extraction temperature of the point corresponding to the minimum tangential slope as a first appointed temperature, and obtaining the tangential slope of each point in the change curve of the yield of the extract along with the extraction temperature, further selecting the extraction temperature of the point corresponding to the maximum tangential slope as a second appointed temperature.
Third, comparing the first appointed temperature with the second appointed temperature, if the first appointed temperature is the same as the second appointed temperature, taking the first appointed temperature as the proper extraction temperature, otherwise, passing through a calculation formulaCalculating suitable extraction temperature ∈>In the formula->、/>Expressed as a first specified temperature, a second specified temperature, respectively->、/>Expressed as the correlation between the extraction temperature and the oxidation of the extract, and the correlation between the extraction temperature and the yield of the extract, respectively.
As a further innovation of the present invention, the construction of the extract oxidation index versus extraction temperature and the extract yield versus extraction temperature curves are specifically operated as follows: and constructing a two-dimensional coordinate system by taking the extraction temperature as an abscissa and the extract oxidation index as an ordinate according to the arrangement sequence of the extraction temperatures, forming a change curve of the extract oxidation index along with the extraction temperature in the constructed two-dimensional coordinate system according to the extract oxidation index of each extraction temperature at the corresponding monitoring time, and constructing the two-dimensional coordinate system by taking the extraction temperature as an abscissa and the extract yield as an ordinate to form a change curve of the extract yield along with the extraction temperature.
Compared with the prior art, the invention has the following beneficial effects: 1. according to the invention, the monitoring equipment is arranged on the vegetable oil extraction device, the extraction temperature, the oxidation of the extract and the yield of the extract are monitored, and then the monitoring result is subjected to comparative analysis, so that the proper extraction temperature is identified, the one-sided property caused by selecting the proper extraction temperature only according to the quality of the oil in the prior art is greatly avoided, the higher oil yield can be ensured at the proper extraction temperature, the oxidation of the oil can be reduced as much as possible, the balance between the oil quality and the oil yield is realized, the biased pursuit of the extraction effect is avoided, and the comprehensive guarantee of the extraction effect is facilitated.
2. According to the invention, when the extraction temperature, the oxidation of the extract and the yield of the extract are monitored, the monitoring time is not divided by the fixedly-arranged monitoring time, but the reference extraction time is carried out based on the target plant raw material type, the target plant raw material weight and the target extraction mode, so that the monitoring time is selected from the reference extraction time to divide the monitoring time, the selected monitoring time is more targeted and more reasonable, the problem that the monitoring time is selected to be too long or too short can be avoided to the greatest extent, and the proper quantity of the monitoring data can be ensured.
3. According to the invention, after the proper extraction temperature is selected, the vegetable oil extraction device is designed into a structure capable of reducing the temperature, and the temperature sensor and the alarm are arranged on the extraction device, so that when the extraction temperature acquired by the temperature sensor is higher than the proper extraction temperature, the alarm is given, the temperature sensor is convenient for relevant personnel to know in time, meanwhile, the temperature can be reduced by utilizing the structure capable of reducing the temperature, the low-temperature automatic real-time control of vegetable oil extraction is realized, the manager is not required to take care in real time, the labor cost is greatly reduced, the defect that the control of temperature control by people is not timely is overcome, and the vegetable oil extraction device has a strong practical value.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
FIG. 2 is a scatter plot of plant material consumption versus extraction time in accordance with the present invention.
FIG. 3 is a graph showing the comparison of the oxidation index of an extract with the extraction temperature and the yield of the extract with the extraction temperature.
Reference numerals: a is the change curve of the oxidation index of the extract with the extraction temperature, and B is the change curve of the yield of the extract with the extraction temperature.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides an automatic control system for low-temperature extraction treatment of vegetable oil based on the Internet of things, which comprises a monitoring equipment setting module, a monitoring time dividing module, an extraction temperature acquisition module, an extract oxidation monitoring analysis module, an extract yield measurement module, a temperature correlation oxidation analysis module, a temperature correlation yield analysis module, a proper extraction temperature identification module and an extraction alarm treatment module, wherein the connection relation among the modules is that the monitoring equipment setting module and the monitoring time dividing module are connected with the extraction temperature acquisition module, the monitoring time dividing module is respectively connected with the extract oxidation monitoring analysis module and the extract yield measurement module, the extraction temperature acquisition module, the extract oxidation monitoring analysis module and the extract yield measurement module are connected with the temperature correlation oxidation analysis module and the temperature correlation yield analysis module, the temperature correlation oxidation analysis module and the temperature correlation yield analysis module are connected with the proper extraction temperature identification module, and the proper extraction temperature identification module and the monitoring equipment setting module are connected with the extraction alarm treatment module.
The connection relationship between the above-mentioned intermediate modules is shown in fig. 1.
The monitoring equipment setting module is used for setting a temperature sensor and an alarm on the vegetable oil extraction device, wherein the periphery of the vegetable oil extraction device is of a hollow structure, a water pipe is fixedly arranged in the hollow body, and the water pipe is connected with an external water tank.
The monitoring time dividing module is used for acquiring the types of the target plant raw materials, the weights of the target plant raw materials and the target extraction modes, analyzing the reference extraction time length and carrying out monitoring time division based on the reference extraction time length.
As an example of the above, extraction methods include, but are not limited to, cold pressing, solvent extraction, hot pressing.
It is known that the extraction time of the vegetable oil is related to the type of the vegetable material, the extraction mode and the weight of the vegetable material. Wherein the extraction mode has the greatest effect on the extraction time, the plant material is not usually heat treated in the cold pressing method to maintain the natural flavor and chemical composition of the grease, so that the extraction time is usually relatively short, possibly between several minutes and several hours, the hot pressing method involves heating the plant material and squeezing the grease by using mechanical force, which makes the extraction time of the hot pressing method possible between several hours and one day, and the solvent extraction method uses organic solvent to extract the grease. This process generally takes a long time, typically between a few hours and a few days, to adequately extract the grease.
The specific analytical procedure applied to the above examples with reference to the extraction duration is as follows: extracting plant raw material types and extraction modes corresponding to each extraction record from the historical extraction records, comparing the plant raw material types with target extraction modes, and screening extraction records with consistent comparison as reference extraction records.
In particular, the above-mentioned comparison is consistent in that the plant material species and the extraction mode are the same as the target plant material species and the target extraction mode.
And extracting a scatter diagram of plant raw material consumption and extraction time constructed by taking the extraction time as an abscissa and the residual weight of plant raw materials as an ordinate from each reference extraction record, referring to fig. 2, performing linear regression analysis on the scatter diagram to generate a regression line, simultaneously acquiring the slope of the regression line, taking the slope as the unit plant raw material consumption extraction time corresponding to each reference extraction record, and performing average calculation to obtain the reference unit plant raw material consumption extraction time.
It will be appreciated that the plant material consumption versus extraction time scatter plot corresponds to the slope of the regression lineWhereinIs the difference between the residual weight of plant material, i.e., the consumption of plant material,/->Is the difference in the extraction times, i.e.the extraction time corresponding to the consumption of plant material, in this case +.>I.e. the extraction time is consumed per plant material.
Multiplying the weight of the target plant material by the extraction time consumed by the reference unit plant material to obtain a reference extraction time.
Further, the specific implementation mode of monitoring time division based on the reference extraction time length is as follows: and selecting the monitoring time from the reference extraction time, and dividing the monitoring time by combining the initial extraction time according to a set time interval to obtain a plurality of monitoring times.
Preferably, the monitoring time period selected from the reference extraction time periods can be selected according to a preset proportion, and the reference extraction time period is assumed to beThe preset proportion is->Then the selected monitoring time length is +.>。
In a specific example, assuming that the set time interval is 10min and the initial extraction time is 8:20, the divided monitoring time may be 8:30, 8:40, 8:50, 9:00, 9:10, 9:20, etc.
According to the invention, when the extraction temperature, the oxidation of the extract and the yield of the extract are monitored, the monitoring time is not divided by the fixedly-arranged monitoring time, but the reference extraction time is divided on the basis of the type of the target plant raw material, the weight of the target plant raw material and the target extraction mode, so that the monitoring time is selected from the reference extraction time, the selected monitoring time is more targeted and more reasonable, the problem that the monitoring time is selected to be too long or too short can be avoided to the greatest extent, the time for the subsequent low-temperature control can be reduced when the selected monitoring time is too long, the phenomenon that the extraction work is finished when the low-temperature control is performed easily occurs, the effective low-temperature control of the vegetable oil extraction is difficult to realize, the monitoring is not in place easily caused when the selected monitoring time is too short, and the usability of the monitoring result is affected.
The extraction temperature acquisition module is used for acquiring extraction temperature at each monitoring moment by using a temperature sensor.
The extract oxidation monitoring analysis module is used for sampling the extract at each monitoring moment, and further, the oxidation acquisition terminal is utilized to monitor the oxidation indication of the extract sample, wherein the oxidation indication comprises a peroxide value and an acid value, and the oxidation index of the extract at each monitoring moment is analyzed according to the oxidation indication.
In the above-mentioned embodiment, the oxidation collection terminal may be an automatic titrator, and in order to ensure accuracy of monitoring the oxidation indication of the extract sample, the weight of the extract sample sampled at each monitoring time remains the same.
It should be added that the extract mentioned in the present invention is oil.
Optionally, the analytical formula of the oxidation index of the extract at each monitoring time is as followsIn the formula->、/>Respectively denoted as->Monitoring the oxidation number of the extract, the acid number of the extract, < >>Expressed as monitoring time number->，/>、/>Expressed as a pre-formulated safe peroxide number and safe acid number, respectively,/->Expressed as a natural constant, wherein the greater the oxidation number of the extract at a certain monitoring time, the greater the acid number of the extract, and the greater the oxidation index of the extract at that monitoring time.
The pre-formulated safe peroxide value and safe acid value refer to the peroxide value threshold and acid value threshold in the unoxidized state of the extract.
It should be appreciated that the reason for selecting peroxide and acid number as the oxidation indicators of the extract in the invention is that the peroxide and acid number are the important indicators that most reflect the oxidation degree during the vegetable oil extraction process.
The extract yield measuring module is used for measuring the extract yield at each monitoring moment by utilizing a yield monitoring terminal, wherein the yield monitoring terminal can be an ultrasonic sensor, a densimeter and the like.
When the ultrasonic sensor is used for measuring the yield of the extract, the propagation speed and reflection characteristics of the sound wave in the extract are utilized to measure the content of the extract in the liquid, and the ultrasonic measuring technology is known in the prior art, so that the invention is not repeated.
When the densitometer is used for measuring the yield of the extract, the densitometer is used for measuring the yield of the extract by taking a sample of the extract, and the measurement result is calculated by the expression of。
Since the ultrasonic sensor can perform the extract content measurement without damage, the ultrasonic sensor is preferable as a yield monitoring terminal in the present invention.
The temperature-dependent oxidation analysis module is used for comparing the extraction temperature and the oxidation index of the extract at each monitoring moment, and analyzing the degree of correlation between the extraction temperature and the oxidation index of the extract, wherein the specific analysis process is as follows: (1) And constructing a two-dimensional coordinate system by taking the monitoring time as an abscissa and the extraction temperature as an ordinate, and further marking a plurality of points in the constructed two-dimensional coordinate system aiming at the extraction temperature corresponding to each monitoring time to form an extraction temperature change curve.
(2) And constructing a two-dimensional coordinate system by taking the monitoring time as an abscissa and the extract oxidation index as an ordinate, and marking a plurality of points in the constructed two-dimensional coordinate system according to the extract oxidation index corresponding to each monitoring time to form an extract oxidation change curve.
(3) And respectively obtaining tangential slopes of the extraction temperature change curve and the extract oxidation change curve at each point.
(4) And respectively acquiring monitoring moments corresponding to each point in the extraction temperature change curve and the extraction oxidation change curve, grouping the points in the two change curves at the same monitoring moment to obtain slope groups corresponding to the monitoring moments, and differencing two slope values in the slope groups to obtain slope differences corresponding to the monitoring moments.
(5) Leading the slope difference corresponding to each monitoring time into a modelAnd calculating the association degree of the extraction temperature and the oxidation of the extract, wherein the smaller the absolute value of the slope difference corresponding to each monitoring moment is, the larger the association degree of the extraction temperature and the oxidation of the extract is, which indicates that the larger the probability of the change of the oxidation degree of the extract when the extraction temperature changes is, in other words, the easier the oxidation of the extract is caused when the extraction temperature changes, namely the extraction temperature change curve and the extract oxidation change curve are represented to be parallel.
The temperature-associated yield analysis module is used for comparing the extraction temperature and the extract yield at each monitoring moment, and analyzing the association degree of the extraction temperature and the extract yield, wherein the specific analysis process is as follows: and constructing a two-dimensional coordinate system by taking the monitoring moment as an abscissa and the extract yield as an ordinate, and further marking a plurality of points in the constructed two-dimensional coordinate system aiming at the extract yield corresponding to each monitoring moment to form an extract yield change curve.
And (3) calculating the correlation degree between the extraction temperature and the extract yield according to the steps (3) and (5) by using the extraction temperature change curve and the extract yield change curve.
The suitable extraction temperature identification module is used for identifying the suitable extraction temperature according to the association degree of the extraction temperature and the oxidation of the extract and the association degree of the extraction temperature and the yield of the extract, and the specific identification process is as follows: firstly, arranging the extraction temperatures at all monitoring moments in a sequence from small to large to obtain an arrangement sequence of the extraction temperatures, and constructing a change curve of an oxidation index of an extract along with the extraction temperature and a change curve of an extract yield along with the extraction temperature according to the arrangement sequence, wherein the specific construction mode is as follows: according to the arrangement sequence of the extraction temperatures, a two-dimensional coordinate system is constructed by taking the extraction temperatures as abscissa and the oxidation indexes of the extracts as ordinate, further, a change curve of the oxidation indexes of the extracts along with the extraction temperatures is formed in the constructed two-dimensional coordinate system according to the oxidation indexes of the extracts at the corresponding monitoring moments of each extraction temperature, the two-dimensional coordinate system is constructed by taking the extraction temperatures as abscissa and the yield of the extracts as ordinate, and further, a change curve of the yield of the extracts along with the extraction temperatures is formed in the constructed two-dimensional coordinate system according to the yield of the extracts at the corresponding monitoring moments of each extraction temperature.
The above-mentioned curve of the oxidation index of the extract with the extraction temperature is compared with the curve of the yield of the extract with the extraction temperature, and is shown in FIG. 3.
And a second step of obtaining the tangential slope of each point in the change curve of the oxidation index of the extract along with the extraction temperature, further selecting the extraction temperature of the point corresponding to the minimum tangential slope as a first appointed temperature, and obtaining the tangential slope of each point in the change curve of the yield of the extract along with the extraction temperature, further selecting the extraction temperature of the point corresponding to the maximum tangential slope as a second appointed temperature.
It should be understood that the proper extraction temperature is the extraction temperature corresponding to the small oxidation index of the extract and the large yield of the extract, but generally, the higher the extraction temperature is, the larger the oxidation index of the extract is and the larger the yield of the extract is, so that the extraction temperature corresponding to the small oxidation index of the extract and the large yield of the extract cannot be obtained under the current condition.
Third stepComparing the first designated temperature with the second designated temperature, if the first designated temperature is the same as the second designated temperature, using the first designated temperature as the proper extraction temperature, otherwise, passing through a calculation formulaCalculating suitable extraction temperature ∈>In the formula->、/>Expressed as a first specified temperature, a second specified temperature, respectively->、/>Expressed as the correlation between the extraction temperature and the oxidation of the extract, and the correlation between the extraction temperature and the yield of the extract, respectively.
It should be added that when the first designated temperature is different from the second designated temperature, the proper extraction temperature is selected by means of the association degree of the extraction temperature and the oxidation of the extract and the association degree of the extraction temperature and the yield of the extract, so that the selection result is more reasonable and accurate, because the association degree of the extraction temperature and the oxidation of the extract and the association degree of the extraction temperature and the yield of the extract represent the influence weight of the extraction temperature on the oxidation of the extract and the yield of the extract, wherein the larger the association degree is, the larger the influence weight is.
According to the invention, the monitoring equipment is arranged on the vegetable oil extraction device, the extraction temperature, the oxidation of the extract and the yield of the extract are monitored, and then the monitoring result is subjected to comparative analysis, so that the proper extraction temperature is identified, the one-sided property caused by selecting the proper extraction temperature only according to the quality of the oil in the prior art is greatly avoided, the higher oil yield can be ensured at the proper extraction temperature, the oxidation of the oil can be reduced as much as possible, the balance between the oil quality and the oil yield is realized, the biased pursuit of the extraction effect is avoided, and the comprehensive guarantee of the extraction effect is facilitated.
The extraction alarm processing module is used for comparing the extraction temperature acquired by the temperature sensor with the proper extraction temperature in real time in the extraction process, starting the alarm to alarm when the extraction temperature is higher than the proper extraction temperature, and simultaneously starting the water tank to fill water into the hollow body of the vegetable oil extraction device by means of the water pipe for cooling treatment.
According to the invention, after the proper extraction temperature is selected, the vegetable oil extraction device is designed into a structure capable of reducing the temperature, and the temperature sensor and the alarm are arranged on the extraction device, so that when the extraction temperature acquired by the temperature sensor is higher than the proper extraction temperature, the alarm is given, the temperature sensor is convenient for relevant personnel to know in time, meanwhile, the temperature can be reduced by utilizing the structure capable of reducing the temperature, the low-temperature automatic real-time control of vegetable oil extraction is realized, the manager is not required to take care in real time, the labor cost is greatly reduced, the defect that the control of temperature control by people is not timely is overcome, and the vegetable oil extraction device has a strong practical value.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (9)
1. Automatic control system is handled in vegetable oil low temperature extraction based on thing networking, its characterized in that includes:
the monitoring equipment setting module is used for setting a temperature sensor and an alarm on the vegetable oil extraction device, wherein the periphery of the vegetable oil extraction device is of a hollow structure, a water pipe is fixedly arranged in the hollow body, and the water pipe is connected with an external water tank;
the monitoring time dividing module is used for acquiring the types of the target plant raw materials, the weight of the target plant raw materials and the target extraction mode, analyzing the reference extraction time length and dividing the monitoring time based on the reference extraction time length;
the extraction temperature acquisition module is used for acquiring extraction temperature at each monitoring moment by using a temperature sensor;
the extract oxidation monitoring analysis module is used for sampling the extract at each monitoring moment, further carrying out oxidation indication monitoring on the extract sample by utilizing the oxidation acquisition terminal, and analyzing the oxidation index of the extract at each monitoring moment according to the oxidation indication monitoring;
the extract yield measuring module is used for measuring the extract yield at each monitoring moment by utilizing the yield monitoring terminal;
the temperature-dependent oxidation analysis module is used for comparing the extraction temperature at each monitoring moment with the oxidation index of the extract and analyzing the degree of correlation between the extraction temperature and the oxidation of the extract;
the temperature correlation yield analysis module is used for comparing the extraction temperature and the extract yield at each monitoring moment and analyzing the correlation degree of the extraction temperature and the extract yield;
the suitable extraction temperature identification module is used for identifying the suitable extraction temperature according to the association degree of the extraction temperature and the oxidation of the extract and the association degree of the extraction temperature and the yield of the extract;
and the extraction alarm processing module is used for comparing the extraction temperature acquired by the temperature sensor with the proper extraction temperature in real time in the extraction process, starting the alarm to alarm when the extraction temperature is higher than the proper extraction temperature, and simultaneously starting the water tank to fill water into the hollow body of the vegetable oil extraction device by means of the water pipe for cooling treatment.
2. The automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things according to claim 1, wherein: the specific analysis process of the reference extraction duration is as follows:
extracting plant raw material types and extraction modes corresponding to each extraction record from the historical extraction records, comparing the plant raw material types with target plant raw material types and target extraction modes, and screening extraction records with consistent comparison as reference extraction records;
extracting a scatter diagram of plant raw material consumption and extraction time, which is constructed by taking the extraction time as an abscissa and the residual weight of plant raw materials as an ordinate, from each reference extraction record, performing linear regression analysis on the scatter diagram to generate a regression line, simultaneously acquiring the slope of the regression line, taking the slope as the unit plant raw material consumption extraction time corresponding to each reference extraction record, and performing average calculation to obtain the reference unit plant raw material consumption extraction time;
multiplying the weight of the target plant material by the extraction time consumed by the reference unit plant material to obtain a reference extraction time.
3. The automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things according to claim 1, wherein: the specific implementation mode for carrying out monitoring time division based on the reference extraction time length comprises the following steps: and selecting the monitoring time from the reference extraction time, and dividing the monitoring time by combining the initial extraction time according to a set time interval to obtain a plurality of monitoring times.
4. The automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things according to claim 1, wherein: the oxidation indications include peroxide values and acid values.
5. The automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things according to claim 4, wherein: the analytical formula of the oxidation index of the extract at each monitoring moment is as followsIn the formula->、/>Respectively denoted as->Monitoring the oxidation number of the extract, the acid number of the extract, < >>Expressed as monitoring time number->，/>、/>Expressed as a pre-formulated safe peroxide number and safe acid number, respectively,/->Expressed as a natural constant.
6. The automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things according to claim 1, wherein: the specific analysis process of the association degree of the extraction temperature and the oxidation of the extract is as follows:
(1) Constructing a two-dimensional coordinate system by taking the monitoring time as an abscissa and the extraction temperature as an ordinate, and further marking a plurality of points in the constructed two-dimensional coordinate system aiming at the extraction temperature corresponding to each monitoring time to form an extraction temperature change curve;
(2) Constructing a two-dimensional coordinate system by taking the monitoring time as an abscissa and the extract oxidation index as an ordinate, and marking a plurality of points in the constructed two-dimensional coordinate system according to the extract oxidation index corresponding to each monitoring time to form an extract oxidation change curve;
(3) Respectively obtaining tangential slope of an extraction temperature change curve and an extraction oxidation change curve at each point;
(4) Respectively acquiring monitoring moments corresponding to each point in the extraction temperature change curve and the extraction oxidation change curve, grouping the points in the two change curves at the same monitoring moment to obtain slope groups corresponding to the monitoring moments, and differencing two slope values in the slope groups to obtain slope differences corresponding to the monitoring moments;
(5) Leading the slope difference corresponding to each monitoring time into a modelAnd calculating the correlation degree between the extraction temperature and the oxidation of the extract.
7. The automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things according to claim 6, wherein: the specific analysis process of the relativity of the extraction temperature and the extract yield is as follows:
constructing a two-dimensional coordinate system by taking the monitoring moment as an abscissa and the extract yield as an ordinate, and further marking a plurality of points in the constructed two-dimensional coordinate system aiming at the extract yield corresponding to each monitoring moment to form an extract yield change curve;
and (3) calculating the correlation degree between the extraction temperature and the extract yield according to the steps (3) and (5) by using the extraction temperature change curve and the extract yield change curve.
8. The automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things according to claim 1, wherein: the process of identifying the suitable extraction temperature is performed as follows:
firstly, arranging the extraction temperatures at all monitoring moments in sequence from small to large to obtain an arrangement sequence of the extraction temperatures, and constructing a change curve of an oxidation index of the extract along with the extraction temperature and a change curve of the yield of the extract along with the extraction temperature according to the arrangement sequence;
the second step, obtaining the tangent slope of each point in the change curve of the oxidation index of the extract along with the extraction temperature, further selecting the extraction temperature of the point corresponding to the minimum tangent slope as a first appointed temperature, and simultaneously obtaining the tangent slope of each point in the change curve of the yield of the extract along with the extraction temperature, further selecting the extraction temperature of the point corresponding to the maximum tangent slope as a second appointed temperature;
third, comparing the first appointed temperature with the second appointed temperature, if the first appointed temperature is the same as the second appointed temperature, taking the first appointed temperature as the proper extraction temperature, otherwise, passing through a calculation formulaCalculating suitable extraction temperature ∈>In the formula->、/>Expressed as a first specified temperature, a second specified temperature, respectively->、/>Expressed as the correlation between the extraction temperature and the oxidation of the extract, and the correlation between the extraction temperature and the yield of the extract, respectively.
9. The automatic control system for low-temperature extraction treatment of vegetable oil based on the internet of things according to claim 8, wherein: the construction of the change curve of the oxidation index of the extract with the extraction temperature and the change curve of the yield of the extract with the extraction temperature specifically comprises the following operations:
and constructing a two-dimensional coordinate system by taking the extraction temperature as an abscissa and the extract oxidation index as an ordinate according to the arrangement sequence of the extraction temperatures, forming a change curve of the extract oxidation index along with the extraction temperature in the constructed two-dimensional coordinate system according to the extract oxidation index of each extraction temperature at the corresponding monitoring time, and constructing the two-dimensional coordinate system by taking the extraction temperature as an abscissa and the extract yield as an ordinate to form a change curve of the extract yield along with the extraction temperature.
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