Intelligent management and control system for edible oil squeezing and refining

Abstract

The invention discloses an intelligent management and control system for squeezing and refining edible oil. The intelligent management and control system comprises a data acquisition module, a database module, a preprocessing module, a data processing module and a data output module, the preprocessing module is used for setting initial operation parameters of the equipment; the data processing module is used for adjusting the initial operation parameters and managing and adjusting the operation parameters of the equipment in real time; when the method is used, the categories of oil plants are collected firstly, and initial operation parameters are matched for equipment according to historical data; adjusting the initial operation data according to the analysis of the historical data; finally, real-time management and control are carried out on operation parameters of the equipment, manual participation is not needed in the whole process, regulation and control are carried out autonomously, manpower resources can be saved, and regulation and control efficiency can be improved; and meanwhile, the supervision standard is unified, the stability of quality control can be improved, the use difference between different devices is reduced, and standardized management is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent management and control, in particular to an intelligent management and control system for edible oil pressing and refining. BACKGROUND

[0002] Spiral oil press is one of the commonly used equipment in modern oil pressing. Correct control of its operating parameters can not only improve the oil extraction efficiency, but also improve the quality of oilseeds. The parameter control of existing equipment mainly relies on the working experience of workers. This process requires long-time monitoring of the equipment operating state, consumes manpower and has low efficiency of equipment parameter control. At the same time, the control process is affected by subjective judgment, resulting in large differences in oil pressing efficiency of different equipment, which is inconvenient to manage and unstable in quality control. To solve this problem, an intelligent management and control system for edible oil pressing and refining is proposed. SUMMARY

[0003] The technical problem to be solved by the present application is how to solve the problem of the existing safety protection system, which has a single protection type and poor protection effect, thereby affecting the use of the safety protection system. The present application provides an intelligent management and control system for edible oil pressing and refining.

[0004] The present application solves the above technical problems by the following technical solutions. The present application comprises a data acquisition module, a database module, a preprocessing module, a data processing module and a data output module.

[0005] The data acquisition module is used to acquire real-time data information and oil category data information during the oil pressing process of the equipment.

[0006] The database module is used to store historical data information and pre-prepared standard parameter information during the oil pressing process of the equipment.

[0007] The preprocessing module is used to receive oil category data information and standard parameter information, and set the initial operating parameters of the equipment according to the analysis of the category data information and the standard parameter information.

[0008] The data processing module is used to receive real-time data information and historical data information. The historical data information is first processed and analyzed, and the initial operating parameters are adjusted according to the analysis results, and a parameter setting report is generated. Then, the real-time data information is analyzed in combination with the standard parameter information, the operating parameters of the equipment are managed and adjusted in real time according to the analysis results, and an adjustment control report is generated.

[0009] The data output module is used to receive and output the initial operating parameters, the parameter setting report and the adjustment control report.

[0010] Preferably, the specific processing process of the preprocessing module is as follows:

[0011] reading the category data information and the standard parameter information of the oil material;

[0012] searching the category of the oil material in the standard parameter information;

[0013] obtaining the mapping relationship between the category of the oil material and the operation parameters of the oil extraction equipment;

[0014] Preferably, the historical data information comprises historical parameter information and historical oil quality information, and the generation process of the parameter setting report is:

[0015] the historical oil quality information comprises historical oil material quality and historical oil liquid quality;

[0016] reading the category data information of the oil material, and when the category of the oil material is a first type of oil material:

[0017] reading the historical oil quality information of the first type of oil material under different historical parameter information;

[0018] establishing the mapping relationship between the historical parameter information and the historical oil quality information;

[0019] reading the historical oil material quality M1 and the historical oil liquid quality M2 of the first type of oil material under different historical parameters;

[0020] calculating the oil extraction rate U of the first type of oil material under different historical parameters, and the specific calculation process is:

[0021] U = M2 / M1;

[0022] sorting the oil extraction rates of the first type of oil material under different historical parameters;

[0023] obtaining the historical parameter information with the largest oil extraction rate and marking each parameter to obtain a marked parameter;

[0024] reading the initial operation parameters, adjusting the initial operation parameters according to the marked parameter, and generating a parameter setting report.

[0025] Preferably, the generation process of the parameter setting report further comprises:

[0026] reading the oil extraction rates of the first type of oil material under different historical parameters;

[0027] calculating the first difference degree E1 of the oil extraction rates under different historical parameters, and the specific calculation process is:

[0028]

[0029] wherein Ua and Ub are the oil extraction rates under two different historical parameters, respectively;

[0030] When the first difference degree E1 is less than a preset threshold Q1, it is determined that the two historical parameters are alternative parameters.

[0031] The marker parameter is read to obtain alternative parameters of the marker parameter.

[0032] The second difference degree E2 between each parameter of the marker parameter and the alternative parameter is calculated, and the specific calculation process is as follows:

[0033]

[0034] Wherein, Ya and Yb are parameter values of the same parameter in the marker parameter and the alternative parameter respectively.

[0035] When the second difference degree E2 is greater than a preset threshold Q2, the minimum parameter value in the same parameter is obtained, and the minimum parameter value is used to replace the marker parameter in the same parameter.

[0036] Preferably, the real-time data information includes real-time flow rate data, real-time pressure data, real-time speed data and real-time temperature data, and the generation process of the adjustment control report is as follows:

[0037] The real-time flow rate data of the oil outlet of the equipment is collected.

[0038] When the real-time flow rate is less than a preset threshold Q1, a plurality of flow rate data in a preset period and with a time interval t are called, which are V1, V2, V3,..., Vn respectively.

[0039] The change rate Ve of the flow rate is calculated, and the specific calculation process is as follows:

[0040]

[0041] Wherein, Va and Vb are two flow rates with a time interval t, and K1 and K2 are flow rate change amplitudes of adjacent two time intervals t.

[0042] When the change rate Ve is greater than or equal to a preset threshold Q2:

[0043] The real-time pressure data P and the real-time speed data R of the equipment are collected.

[0044] The equipment pressure parameter is adjusted to c1·P, the equipment speed parameter is adjusted to c2·R, and 0

[0045] When the change rate Ve is less than a preset threshold Q2:

[0046] The real-time temperature data T and the real-time pressure data P of the equipment are collected.

[0047] The equipment temperature parameter is adjusted to c3·T, the equipment pressure parameter is adjusted to c4·P, and c3>1, c4>1, and an adjustment control report is generated.

[0048] Preferably, the real-time data information includes real-time image data and real-time size data, and the generation process of the adjustment control report further includes:

[0049] When the change rate Ve is less than a preset threshold Q2:

[0050] Collect real-time image data of a plurality of oil residue samples, and obtain an oil residue contour;

[0051] Arbitrarily obtain one oil residue sample for detection, and establish a maximum inscribed circle of the oil residue contour;

[0052] A plurality of detection points are arranged on the oil residue contour, and size data of the plurality of detection points to the center of the inscribed circle are collected respectively, which are Le1, Le2, Le3,..., Len;

[0053] Calculate the dispersion E3 of the plurality of detection points, and the specific calculation process is:

[0054]

[0055] Wherein, is the average value of the plurality of size data;

[0056] Further collect the diameter Dr of the inscribed circle and the thickness De of the oil residue, and calculate the flatness E4 of the oil residue using the formula E4 = Dr / De;

[0057] When the dispersion E3 is greater than a preset threshold Q3, and the flatness E4 is less than a preset threshold Q4, the oil residue is abnormal, and the oil residue is marked;

[0058] Obtain the number A1 of the oil residue samples and the data A2 of the marked oil residue, and calculate the proportion of abnormal data using the formula E5 = A2 / A1;

[0059] When the proportion of abnormal data E5 is greater than a preset threshold Q5, adjust the device temperature parameter to c3·T, and c3>1, and generate an adjustment control report;

[0060] When the proportion of abnormal data E5 is less than or equal to the preset threshold Q5, adjust the device pressure parameter to c4·P, and c4>1, and generate an adjustment control report;

[0061] When the change rate Ve is greater than or equal to the preset threshold Q2:

[0062] Collect temperature data in the device barrel in a plurality of continuous and isochronous periods t`, which are Te1, Te2, Te3,..., Ten;

[0063] Calculate the increment E6 between two adjacent temperature points, and the specific calculation process is:

[0064]

[0065] wherein Tea and Teb are the temperatures of two adjacent detection time points;

[0066] acquiring an average increment between the plurality of adjacent temperature points

[0067] when the average increment is greater than a preset threshold Q1, adjusting the equipment pressure parameter to c1P, and generating an adjustment control report, wherein 0 when the average increment is greater than a preset threshold Q2, adjusting the equipment rotation speed parameter to c2R, and generating an adjustment control report, wherein c2>1.

[0068]

[0069] Preferably, the generating process of the adjustment control report further comprises:

[0070] reading the abnormal oil residue data and the corresponding inscribed circle;

[0071] drawing a virtual straight line through the center of the inscribed circle and perpendicular to the maximum plane of the oil residue;

[0072] drawing a plurality of virtual planes through the virtual straight line, and acquiring the intersection lines of the plurality of virtual planes and the oil residue;

[0073] intercepting the first type of intersection line in the thickness direction of the oil residue;

[0074] arbitrarily acquiring a first type of intersection line, and the intersection points of the first type of intersection line and the profiles on both sides of the oil residue are B1 and B2, respectively, and then acquiring the midpoint B3 of the first type of intersection line;

[0075] collecting the size Ls1 from point B1 to point B3 and the size Ls2 from point B2 to point B3;

[0076] reading the thickness De of the oil residue;

[0077] calculating the abnormality E7 of the oil residue boundary, and the specific calculation process is:

[0078] E7=(Ls1+Ls2) / De;

[0079] when the abnormality E7 is greater than a preset threshold Q7, marking the first type of intersection line;

[0080] respectively calculating the abnormality of a plurality of first type of intersection lines;

[0081] counting the number X1 of the first type of intersection lines;

[0082] then counting the number X2 of the marked first type of intersection lines;

[0083] calculating the proportion of abnormal intersection lines E8, and the specific calculation process is: ​​

[0084] E8 = X2 / X1;

[0085] When the abnormal boundary proportion E8 is less than the preset threshold Q8, the label of the oil residue abnormality is cleared.

[0086] Preferably, when the real-time flow rate is greater than the preset threshold Q1, the real-time data information includes real-time image data, and the generation process of the adjustment control report is as follows:

[0087] Collecting image data of the oil, and performing first processing on the oil image to convert it to Lab color space;

[0088] Reading the color Lab(x1, y1, z1) of the oil;

[0089] Retrieving standard parameter information to obtain the Lab(x2, y2, z2) of the standard oil color;

[0090] Calculating the color difference ΔE·ab, and the specific calculation process is as follows:

[0091]

[0092] When the color difference ΔE·ab is greater than the preset threshold Q9, the device temperature parameter is adjusted to c5·T, and 0

[0093] Preferably, when the real-time flow rate is greater than the preset threshold Q1, the real-time data information includes real-time image data, and the generation process of the adjustment control report is as follows:

[0094] Collecting image data of the oil;

[0095] Segmenting the image data of the oil into multiple sub-regions;

[0096] Randomly selecting n sample sub-regions;

[0097] Respectively counting the particles in the sample sub-regions to obtain the average particle number of the sample sub-regions

[0098] When the average particle number is less than the preset threshold Q7, the device rotation speed parameter is adjusted to c6·R, and 0

[0099] The system further includes a service platform module for receiving and displaying initial operation parameters, parameter setting reports, and adjustment control reports.

[0100] ​Compared with the prior art, the system has the following advantages: when the system is used, the type of oil is first collected, initial operation parameters of the equipment are matched according to historical data; the initial operation data are adjusted according to analysis of the historical data; finally, the discharging state of the oil and oil residue is monitored in real time, and the operation parameters of the equipment are controlled in real time according to the monitoring result, the whole process does not need human intervention and is automatically controlled, which can save human resources and improve control efficiency; meanwhile, the unified monitoring standard can improve the stability of quality control and reduce the use difference between different equipment, and realize standardized management, so that the system is more worthy of promotion and use. BRIEF DESCRIPTION OF DRAWINGS

[0101] Figure 1 is the overall module diagram of the present application. DETAILED DESCRIPTION

[0102] The embodiments of the present application will be described in detail below, and the embodiments are implemented on the premise of the technical scheme of the present application, and detailed implementation modes and specific operation processes are given, but the protection scope of the present application is not limited to the following embodiments.

[0103] As shown in Figure 1 , the present embodiment provides a technical scheme: an intelligent management and control system for edible oil pressing and refining, comprising a data acquisition module, a database module, a preprocessing module, a data processing module and a data output module.

[0104] The data acquisition module is used for acquiring real-time data information and type data information of oil in the oil pressing process of the equipment.

[0105] The database module is used for storing historical data information and standard parameter information in the oil pressing process of the equipment.

[0106] It should be noted that the standard parameter data is the equipment operation parameter and the Lab standard parameter value of the standard oil color pre-prepared according to the historical data.

[0107] The preprocessing module is used for receiving the type data information of the oil and the standard parameter information, setting the initial operation parameters of the equipment according to the analysis of the type data information and the standard parameter information.

[0108] The data processing module is used for receiving the real-time data information and the historical data information, first processing and analyzing the historical data information, adjusting the initial operation parameters according to the analysis result, and generating a parameter setting report; then analyzing the real-time data information in combination with the standard parameter information, adjusting and managing the operation parameters of the equipment according to the analysis result, and generating an adjustment control report.

[0109] The data output module is used for receiving and outputting the initial operation parameters, the parameter setting report and the adjustment control report.

[0110] The system uses the category of oil, and the initial operation parameters of the equipment are matched according to the historical data; then the initial operation data is adjusted according to the analysis of the historical data; finally, the discharge state of the oil and the oil residue is monitored in real time, and the operation parameters of the equipment are controlled in real time according to the monitoring result. The whole process does not need human intervention and can independently control and regulate, which can save human resources and improve the control efficiency; at the same time, the unified supervision standard can improve the stability of quality control and reduce the use difference between different equipment, and realize standardized management.

[0111] Among them, the category data information and standard parameter information of the oil are read;

[0112] The category of the oil is searched in the standard parameter information;

[0113] The mapping relationship between the category of the oil and the operation parameters of the equipment during oil pressing is obtained;

[0114] The mapping parameters are marked to generate initial operation parameters.

[0115] Among them, the historical data information includes historical parameter information and historical oil quality information, and the generation process of the parameter setting report is:

[0116] The historical oil quality information includes historical oil quality and historical oil quality;

[0117] The category data information of the oil is read, and when the category of the oil is the first type of oil:

[0118] The historical oil quality information of the first type of oil under different historical parameter information is read;

[0119] The mapping relationship between the historical parameter information and the historical oil quality information is established;

[0120] The historical oil quality M1 and the historical oil quality M2 of the first type of oil under different historical parameters are read;

[0121] The oil yield U of the first type of oil under different historical parameters is calculated, and the specific calculation process is:

[0122] U=M2 / M1;

[0123] The oil yield of the first type of oil under different historical parameters is sorted;

[0124] The historical parameter information with the largest oil yield is obtained, and each parameter is marked to obtain the marked parameter;

[0125] The initial operation parameters are read, the initial operation parameters are adjusted according to the marked parameters, and the parameter setting report is generated.

[0126] The historical data of the oil is collected to calculate the oil yield under different parameters, so as to match the oil with appropriate operating parameters and improve the stability of the equipment operation.

[0127] The generation process of the parameter setting report further includes:

[0128] The oil yield of the first type of oil under different historical parameters is read;

[0129] The first difference degree E1 of the oil yield under different historical parameters is calculated, and the specific calculation process is:

[0130]

[0131] Wherein, Ua and Ub are the oil yields under two different historical parameters;

[0132] When the first difference degree E1 is less than the preset threshold Q1, the two historical parameters are judged as alternative parameters;

[0133] The marked parameters are read to obtain the alternative parameters of the marked parameters;

[0134] The second difference degree E2 of each parameter between the marked parameters and the alternative parameters is calculated, and the specific calculation process is:

[0135]

[0136] Wherein, Ya and Yb are the parameter values of the same parameter in the marked parameters and the alternative parameters respectively;

[0137] When the second difference degree E2 is greater than the preset threshold Q2, the minimum parameter value in the same parameter is obtained, and the minimum parameter value is used to replace the marked parameters under the same parameter.

[0138] When the difference between the oil yields of the two configuration parameters is very small, it can be ignored, and the relatively small parameter in the two same parameters is replaced in the parameter setting report to reduce the energy consumption of the equipment and improve the operation efficiency of the equipment.

[0139] Wherein, the real-time data information includes real-time flow rate data, real-time pressure data, real-time speed data and real-time temperature data, and the generation process of the adjustment control report is:

[0140] The real-time flow rate data of the equipment oil outlet is collected;

[0141] When the real-time flow rate is less than the preset threshold Q1, a plurality of flow rate data in the preset period and with a time interval t are called, which are V1, V2, V3,..., Vn respectively;

[0142] The change rate Ve of the flow rate is calculated, and the specific calculation process is:

[0143]

[0144] Wherein, Va and Vb are two flow rates of time t, K1 and K2 are the flow rate change amplitude of adjacent two time periods t;

[0145] It should be noted that in the process of oil pressing, the oil extraction speed will change with the extrusion of oil; The running condition of the equipment can be judged according to the change of oil extraction speed in different period;

[0146] When the change rate Ve is greater than or equal to the preset threshold Q2:

[0147] Collecting real-time pressure data P and real-time speed data R of the equipment;

[0148] Adjusting the equipment pressure parameter to c1·P and the equipment speed parameter to c2·R, and 0

[0149] It should be noted that when the change rate Ve is large, the oil in the surface equipment barrel changes sharply, which is caused by the over small running pressure and the over small spindle speed of the equipment;

[0150] The pressure is an important factor in the oil pressing process, which determines the degree of extrusion of oil; The greater the pressure applied to the oil, the smaller the gap between the oil particles, and the greater the possibility of oil being extruded; However, the pressure is not the greater the better; Excessive pressure may cause excessive crushing of oil, produce too much oil residue, increase the wear of the equipment, and may affect the quality of oil products;

[0151] The spindle speed is another important factor in the operation of the oil press; It determines the residence time of the oil in the barrel and the number of extrusions; The lower the spindle speed, the slower the passing speed of the oil in the barrel, and the more the number of extrusions; It will make the oil stay in the barrel for too long, and be extruded too much, which will also affect the quality of oil products;

[0152] Therefore, the pressure needs to be reduced and the spindle speed needs to be improved.

[0153] When the change rate Ve is less than the preset threshold Q2:

[0154] Collecting real-time temperature data T and real-time pressure data P of the equipment;

[0155] Adjusting the equipment temperature parameter to c3·T and the equipment pressure parameter to c4·P, and c3>1, c4>1, and generating an adjustment control report.

[0156] It should be noted that when the change rate Ve is small, the running pressure and temperature of the equipment are small;

[0157] When the temperature of the equipment is low, the plasticity of the oil material decreases, the friction between the oil material particles decreases, and it is difficult for the press to establish sufficient pressure in the oil material; the pressure is a key factor for the press process to squeeze the oil out of the oil material; if the pressure is insufficient, the oil cannot be effectively squeezed out, resulting in a decrease in oil yield;

[0158] It should be noted that the oil material is the raw material for oil pressing;

[0159] In this scheme, the change rate of the oil liquid oil yield increase is analyzed to determine the sharpness of the equipment oil yield; to determine the abnormality of the equipment operation parameters, the equipment operation parameters are increased or decreased by a preset proportion, and gradually adjusted to realize the stability of the equipment operation and improve the use performance of the equipment.

[0160] Further, the real-time data information includes real-time image data and real-time size data, and the generation process of the adjustment control report further includes:

[0161] When the change rate Ve is less than a preset threshold Q2:

[0162] Collect real-time image data of multiple oil residue samples, and obtain the oil residue contour;

[0163] Arbitrarily obtain one oil residue sample for detection, and establish the maximum inscribed circle of the oil residue contour;

[0164] On the oil residue contour, multiple detection points are collected, and size data of multiple detection points to the center of the inscribed circle are collected, respectively Le1, Le2, Le3,..., Len;

[0165] Calculate the dispersion degree E3 of the multiple detection points, and the specific calculation process is:

[0166]

[0167] Wherein, is the average value of the multiple size data;

[0168] Then collect the diameter Dr of the inscribed circle and the thickness De of the oil residue, and calculate the flatness of the oil residue using the formula E4=Dr / De;

[0169] When the dispersion degree E3 is greater than a preset threshold Q3, and the flatness E4 is less than a preset threshold Q4, the oil residue is abnormal, and the oil residue is marked;

[0170] Obtain the number A1 of oil residue samples and the data A2 of marked oil residue, and calculate the proportion of abnormal data using the formula E5=A2 / A1;

[0171] When the proportion of abnormal data E5 is greater than a preset threshold Q5, the temperature parameter of the equipment is adjusted to c3·T, and c3>1, and an adjustment control report is generated.

[0172] When the proportion of abnormal data E5 is less than or equal to a preset threshold Q5, the device pressure parameter is adjusted to c4P, and c4>1, and an adjustment control report is generated;

[0173] Temperature is an important factor affecting the plasticity of oil; when the temperature is too low, the plasticity of the oil will decrease significantly, the binding force between particles will weaken, and it will be difficult for the oil to form a tight structure during pressing; it will cause the gap between the oil particles to increase during pressing, and the oil will easily flow out from these gaps instead of being effectively squeezed out;

[0174] Due to the decrease in oil plasticity and the difficulty in establishing pressure, the oil is prone to "extrusion" during pressing; this is manifested as the oil being extruded into blocks or strips during pressing, rather than forming a tight cake; these blocks or strips of oil contain a large amount of oil, but due to insufficient pressing, these oils cannot be effectively squeezed out. These oil often need to be sent back to the press for re-pressing, thereby increasing unnecessary back material.

[0175] When the device has a low speed, image data of the oil residue is collected, and a maximum inscribed circle is established. A plurality of point positions are taken on the oil profile, the sizes of different point positions to the center of the inscribed circle are collected, and the dispersion degree of the data is calculated. When the dispersion degree is less than a certain value, the length and width of the oil residue are similar, which indicates that the oil residue is tight inside and not easy to break, and this shape is formed due to the size limitation of the discharge port; when the dispersion degree is greater than a certain value, it indicates that the length and width of the oil residue are significantly different, and the oil residue is naturally broken due to low oil plasticity and internal tightness. Further infer the tightness and shape of the oil residue. When the oil residue is tight inside, it indicates that the temperature meets the production conditions, and the operating pressure of the device is adjusted alone; when the oil residue is not tight inside, the standard temperature difference is large, and the operating temperature of the device is adjusted alone.

[0176] When the change rate Ve is greater than or equal to a preset threshold Q2:

[0177] Temperature data in the device press cavity are collected at consecutive equal time intervals t', which are Te1, Te2, Te3,..., Ten, respectively;

[0178] The increase E6 between two adjacent temperature points is calculated, and the specific calculation process is as follows:

[0179]

[0180] Wherein, Tea and Teb are the temperatures of two adjacent detection time points;

[0181] The average increase between a plurality of adjacent temperature points is obtained

[0182] When the average increase is less than or equal to a preset threshold Q3, the device pressure parameter is adjusted to c4P, and c4>1, and an adjustment control report is generated; Adjust the equipment pressure parameter to c1P, and 0

[0183] When the average increment Adjust the equipment rotating speed parameter to c2R, and c2>1, and generate an adjustment control report.

[0184] When the equipment running pressure is too large, the oil and the friction of the inner wall of the chamber will increase, thereby increasing the temperature change range of the chamber; in this case, the temperature of the equipment main shaft rotating speed is low, the influence degree of the temperature is low, and the temperature change range does not play a main role. In this scheme, the temperature data in the chamber is collected, the temperature change range of the chamber is calculated, and the abnormality of the equipment running parameter is judged; when the temperature increment is large, the surface pressure is too large, and the pressure is adjusted alone; when the temperature increment is small, the rotating speed is too low, and the rotating speed is adjusted alone; this process can improve the accuracy of the system in judging the running parameter, and improve the reliability of the system running.

[0185] In the specific use of the above scheme, the compact oil residue may be broken into smaller blocks during the discharging process due to the extrusion of the equipment discharge port, thereby causing misjudgment. To solve this problem, the following further scheme is proposed:

[0186] Further, read the abnormal oil residue data and the corresponding inscribed circle;

[0187] Make a virtual straight line perpendicular to the maximum plane of the oil residue through the center of the inscribed circle;

[0188] Make a plurality of virtual planes through the virtual straight line, and obtain the intersection lines of the plurality of virtual planes and the oil residue;

[0189] Intercept the first type of intersection line in the thickness direction of the oil residue;

[0190] Arbitrarily obtain a first type of intersection line, and the intersection points of the first type of intersection line and the profiles on both sides of the oil residue are B1 and B2, respectively. Then, the midpoint B3 of the first type of intersection line is obtained;

[0191] Collect the size Ls1 from point B1 to point B3 and the size Ls2 from point B2 to point B3;

[0192] Read the thickness De of the oil residue;

[0193] Calculate the abnormality E7 of the oil residue boundary, and the specific calculation process is:

[0194] E7=(Ls1+Ls2) / De;

[0195] When the abnormality E7 is greater than the preset threshold Q7, mark the first type of intersection line;

[0196] Calculate the abnormality of a plurality of first type of intersection lines, respectively;

[0197] Count the number of first type boundary lines X1;

[0198] Further count the number of marked first type boundary lines X2;

[0199] Calculate the proportion of abnormal boundary lines E8, the specific calculation process is:

[0200] E8 = X2 / X1;

[0201] When the proportion of abnormal boundary lines E8 is less than the preset threshold Q8, remove the mark of oil residue abnormality.

[0202] When the temperature is too low, the plasticity of the oil will decrease significantly, the binding force between particles will weaken, making it difficult for the oil to form a tight structure during pressing, and the oil residue contains more oil and has strong adhesion. Therefore, the end face of the oil residue under this condition is not flat; the inside of the tight oil residue is relatively tight and dry, and contains less oil, so the end face is relatively flat when it breaks. Collect the oil residue cross-section data, calculate the ratio of the cross-section data to the thickness, and determine whether the cross-section is flat. When the cross-section is flat, it means that the oil residue is normal, the abnormal oil residue mark is removed, the identification process of abnormal data is corrected, and the accuracy of system judgment is further improved.

[0203] Wherein, when the real-time flow rate is greater than the preset threshold Q1, the real-time data information includes real-time image data, and the generation process of the control report is adjusted as follows:

[0204] Collect image data of the oil, and convert the oil image to Lab color space through first processing; it should be noted that the first processing is to read the image stored in BGR format using OpenCV library, for example, using the cv2.imread() function to read an image in RGB format;

[0205] Convert the image from RGB color space to Lab color space; this can be achieved by using the cv2.cvtColor() function, and the conversion code is specified as cv2.COLOR_BGR2LAB, which is a prior art and will not be described in detail.

[0206] Read the color Lab(x1, y1, z1) of the oil;

[0207] Retrieve standard parameter information to obtain the Lab(x2, y2, z2) of the standard oil color;

[0208] Calculate the color difference ΔE·ab, the specific calculation process is:

[0209]

[0210] When the color difference ΔE·ab is greater than a preset threshold Q9, the device temperature parameter is adjusted to c5·T, 0

[0211] Excessive device operating temperature can cause excessive denaturation of proteins in the pressed material, reducing the plasticity of the pressed material, and also deepening the color of the pressed oil and even producing a burnt taste. The embodiment calculates the difference between the color of the oil and the color of the standard oil to determine the quality of the oil. When the difference is large, it indicates that the device operating temperature is too high, and the temperature is reduced in proportion to gradually adjust the temperature to improve the quality of the raw oil.

[0212] When the real-time flow rate is greater than a preset threshold Q1, the real-time data information includes real-time image data, and the generation process of the adjustment control report is as follows:

[0213] Collecting image data of the oil;

[0214] Segmenting the image data of the oil into multiple sub-regions;

[0215] Randomly selecting n sample sub-regions;

[0216] Statistically analyzing the particles in the sample sub-regions to obtain the average particle number of the sample sub-regions

[0217] When the average particle number is greater than a preset threshold Q2, the device speed parameter is adjusted to c3·R, 0 Adjusting the device speed parameter to c6·R, 0

[0218] When the device main shaft speed is too high, the oil press can overheat, accelerating the wear of the device, and also causing the pressed oil to contain more impurities and fragments. The picture of the oil is obtained, and the number of impurities per unit area, i.e. the impurity density, is collected to determine whether the impurities in the oil exceed the standard. When the impurities exceed the standard, the main shaft speed is reduced, and the speed is gradually adjusted in proportion to improve the quality of the raw oil.

[0219] The system further includes a service platform module for receiving and displaying initial operating parameters, parameter setting reports, and adjustment control reports.

[0220] It should be noted that c1, c2, c3, c4, c5, and c6 are preset single adjustment ratios of each operating parameter of the device relative to the original parameter.

[0221] In addition, the terms "first", "second", etc. are used only for the purpose of description, and should not be understood as indicating or implying relative importance or a specific number of the technical features indicated. Therefore, the features defined as "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, for example, two, three, etc., unless otherwise explicitly and specifically limited.

[0222] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms is not necessarily directed to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. Furthermore, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples, without contradiction.

[0223] Although the embodiments of the present application have been shown and described above, it is understood that the above-described embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above-described embodiments within the scope of the present application.

Claims

1. An intelligent management and control system for edible oil expeller refining, characterized in that, The device comprises a data acquisition module, a database module, a preprocessing module, a data processing module and a data output module. The data acquisition module is configured to acquire real-time data information and oil category data information during the oil extraction process. The database module is configured to store historical data information and standard parameter information. The preprocessing module is configured to receive the oil category data information and the standard parameter information, set initial operation parameters of the device according to analysis of the oil category data information and the standard parameter information. The data processing module is configured to receive the real-time data information and the historical data information, process and analyze the historical data information first, adjust the initial operation parameters according to the analysis result, and generate a parameter setting report; then analyze the real-time data information in combination with the standard parameter information, manage and adjust the operation parameters of the device in real time according to the analysis result, and generate an adjustment control report. The data output module is configured to receive and output the initial operation parameters, the parameter setting report and the adjustment control report.

2. The intelligent management and control system for edible oil pressing and refining according to claim 1, characterized in that: The preprocessing module comprises the following specific processing process: reading the oil category data information and the standard parameter information; searching for the oil category in the standard parameter information; obtaining a mapping relationship between the oil category and the operation parameters during the oil extraction process; labeling the mapping parameters to generate the initial operation parameters.

3. The intelligent management and control system for edible oil pressing and refining according to claim 1, characterized in that: The historical data information comprises historical parameter information and historical oil quality information, and the parameter setting report is generated through the following process: The historical oil quality information comprises historical oil mass and historical oil liquid mass. When the oil category is a first type of oil, the following steps are performed: reading the historical oil quality information of the first type of oil under different historical parameter information; establishing a mapping relationship between the historical parameter information and the historical oil quality information; reading the historical oil mass M1 and the historical oil liquid mass M2 of the first type of oil under different historical parameters; calculating the oil yield U of the first type of oil under different historical parameters, and the specific calculation process is as follows: U = M2 / M1; sorting the oil yields of the first type of oil under different historical parameters; obtaining the historical parameter information with the largest oil yield and labeling each parameter to obtain labeled parameters; reading the initial operation parameters, adjusting the initial operation parameters according to the labeled parameters, and generating a parameter setting report.

4. The intelligent management and control system for edible oil pressing and refining according to claim 3, characterized in that: The parameter setting report is generated through the following process: reading the oil yield of the first type of oil under different historical parameters; calculating the first difference degree E1 of the oil yield under different historical parameters, and the specific calculation process is as follows: wherein Ua and Ub are the oil yields under two different historical parameters; when the first difference degree E1 is less than a preset threshold Q1, it is determined that the two historical parameters are alternative parameters; reading the labeled parameters, obtaining the alternative parameters of the labeled parameters; calculating the second difference degree E2 of each parameter between the labeled parameters and the alternative parameters, and the specific calculation process is as follows: wherein Ya and Yb are the parameter values of the same parameter in the labeled parameters and the alternative parameters, respectively; when the second difference degree E2 is greater than a preset threshold Q2, the minimum parameter value of the same parameter is obtained, and the labeled parameters under the same parameter are replaced by the minimum parameter value.

5. The intelligent management and control system for edible oil pressing and refining according to claim 1, characterized in that: The real-time data information includes real-time flow rate data, real-time pressure data, real-time rotation speed data and real-time temperature data, and the generation process of the adjustment control report is: Collecting real-time flow rate data of the oil outlet of the equipment; When the real-time flow rate is less than a preset threshold Q1, a plurality of flow rate data in a preset period and with a time interval t are called, respectively V1, V2, V3,..., Vn; The change rate Ve of the flow rate is calculated, and the specific calculation process is: Wherein, Va and Vb are two flow rates with a time interval t, K1 and K2 are the flow rate change amplitudes of adjacent two time periods t; When the change rate Ve is greater than or equal to a preset threshold Q2: Collecting real-time pressure data P and real-time rotation speed data R of the equipment; The equipment pressure parameter is adjusted to c1·P, the equipment rotation speed parameter is adjusted to c2·R, and 0 When the change rate Ve is less than the preset threshold Q2; Collecting real-time temperature data T and real-time pressure data P of the equipment; The equipment temperature parameter is adjusted to c3·T, the equipment pressure parameter is adjusted to c4·P, and c3>1, c4>1, and an adjustment control report is generated.

6. The intelligent management and control system for edible oil pressing and refining according to claim 5, characterized in that: The real-time data information includes real-time image data and real-time size data, and the generation process of the adjustment control report further includes: When the change rate Ve is less than the preset threshold Q2: Collecting real-time image data of a plurality of oil residue samples, and obtaining the oil residue contour; Arbitrarily obtaining one oil residue sample for detection, establishing the largest inscribed circle of the oil residue contour; A plurality of detection points are set on the oil residue contour, and size data of a plurality of detection points to the center of the inscribed circle are collected, respectively Le1, Le2, Le3,..., Len; The dispersion E3 of a plurality of detection points is calculated, and the specific calculation process is: wherein, is the average of the plurality of size data; The diameter Dr of the inscribed circle and the thickness De of the oil residue are collected again, and the flatness of the oil residue is calculated using the formula E4=Dr / De; When the dispersion E3 is greater than a preset threshold Q3, and the flatness E4 is less than a preset threshold Q4, the oil residue is abnormal, and the oil residue is marked; The number A1 of oil residue samples and the data A2 of marked oil residue are obtained, and the proportion of abnormal data is calculated using the formula E5=A2 / A1; When the proportion of abnormal data E5 is greater than a preset threshold Q5, the equipment temperature parameter is adjusted to c3·T, and c3>1, and an adjustment control report is generated; When the proportion of abnormal data E5 is less than or equal to the preset threshold Q5, the equipment pressure parameter is adjusted to c4·P, and c4>1, and an adjustment control report is generated; When the change rate Ve is greater than or equal to the preset threshold Q2: The temperature data in the continuous time interval t` of the equipment is collected, respectively Te1, Te2, Te3,..., Ten; The increment E6 between adjacent two temperature points is calculated, and the specific calculation process is: Wherein, Tea and Teb are the temperatures of adjacent two detection time points, respectively; Obtaining an average increase between a plurality of adjacent temperature points When the average increase Adjust the device pressure parameter to c1P, and 0 < c1 < 1, and generate an adjustment control report; When the average increase Adjust the equipment rotation speed parameter to c2·R, and c2>1, and generate an adjustment control report.

7. The intelligent management and control system for edible oil pressing and refining according to claim 6, characterized in that: The generation process of the adjustment control report further includes: Reading the abnormal oil residue data and the corresponding inscribed circle; A virtual straight line perpendicular to the maximum plane of the oil residue is made through the center of the inscribed circle; A plurality of virtual planes are made through the virtual straight line, and the intersection lines of a plurality of virtual planes and the oil residue are obtained; The first type of intersection line in the thickness direction of the oil residue is intercepted; Any acquisition of a first type of interface line, the intersection of the first type of interface line and the profile on both sides of the oil residue is B1 and B2, and then the midpoint B3 of the first type of interface line is acquired; The size Ls1 of the point B1 to the point B3 and the size Ls2 of the point B2 to the point B3 are collected; The thickness De of the oil residue is read; The abnormality E7 of the oil residue boundary is calculated, and the specific calculation process is: E7=(Ls1+Ls2) / De; When the abnormality E7> The preset threshold Q7, mark the first type of interface line; The abnormality of a plurality of first type of interface lines is calculated respectively; The number X1 of the first type of interface line is counted; The number X2 of the marked first type of interface line is counted again; The proportion of abnormal interface line E8 is calculated, and the specific calculation process is: E8=X2 / X1; When the proportion of abnormal interface line E8< The preset threshold Q8, clear the mark of oil residue abnormality.

8. The intelligent management and control system for edible oil pressing and refining according to claim 5, characterized in that: When the real-time flow rate> The preset threshold Q1, the real-time data information includes real-time image data, and the generation process of the adjustment control report is: Collecting image data of oil, the oil image is converted to Lab color space by first processing; Read the color Lab(x1, y1, z1) of the oil; Call standard parameter information to obtain the Lab(x2, y2, z2) of the standard oil color; Calculate the color difference ΔE·ab, and the specific calculation process is: When the color difference ΔE·ab> The preset threshold Q9, the device temperature parameter is adjusted to c5·T, and 0 9. The intelligent management and control system for edible oil pressing and refining according to claim 5, characterized in that: When the real-time flow rate> The preset threshold Q1, the real-time data information includes real-time image data, and the generation process of the adjustment control report is: Collecting image data of oil; The image data of the oil is segmented into a plurality of sub-regions; Randomly select n sample sub-regions; Statistically counting the particles in each sample sub-region to obtain the average number of particles in the sample sub-region When the average particle number The device rotation speed parameter is adjusted to c6R, and 0 < c6 < 1, and an adjustment control report is generated.

10. The intelligent management and control system for the extraction of edible oil by pressing according to claim 1, characterized in that: It also includes a service platform module, which is used to receive and display initial operation parameters, parameter setting reports and adjustment control reports.

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