Portable recovered oil detection device and detection and analysis method thereof

Abstract

The present invention discloses a portable recovered oil detection device and a detection and analysis method thereof, comprising a housing (1), a detection tube (2) movably connected to a side wall of the housing (1), the detection tube (2) communicating with the interior of the housing (1), an electronic tongue detection component (3) movably arranged in the detection tube (2) along the axial direction, at least two chambers being arranged in the housing (1), an electronic nose detection component (4) being arranged in the chamber close to the detection tube (2), a signal processing component (5) being fixed in the chamber away from the detection tube (2), the electronic tongue detection component (3) and the electronic nose detection component (4) being connected to the signal processing component (5) via a connecting line. Beneficial effect: fast and convenient detection of recovered oil is achieved, results are directly obtained, and the operation is simple.

Description

Technical Field

[0001] The present invention relates to the technical field of food safety detection, in particular to a portable gutter oil detection device and a detection and analysis method thereof. Background Art

[0002] Waste cooking oil contains various harmful substances. Long-term intake can lead to various diseases and even cancer, seriously endangering the health of citizens. Therefore, in order to reduce the health hazards caused by waste cooking oil to the general public, the detection of waste cooking oil has become an important task of the country and the government, and has also become a hot research topic among scientific researchers. However, the detection of waste cooking oil is very difficult, and a more authoritative detection method has not been established.

[0003] At present, domestic scholars have proposed a variety of identification methods, such as moisture determination, cholesterol determination, oxidation product detection, spectroscopy, etc. These methods have their own advantages, but they all face problems such as poor accuracy, low sensitivity, insufficient applicability, lack of speed and real-time, and inability to detect a small amount of gutter oil mixed with edible oil.

[0004] For example, in the patent application number 201310101309.5, entitled "A Grease Detection Method Based on a Voltammetric Electronic Tongue," a voltammetric electronic tongue grease detection method based on adjustable cyclic voltammetric scanning potential is disclosed. Utilizing a multi-sensor array, hardware circuits, and intelligent detection software, the voltammetric electronic tongue system is placed directly into the grease for detection, targeting the high viscosity and low conductivity of the oil. However, this method is more suitable for laboratory use, requiring relatively complex initial preparation and is not suitable for on-site grease quality testing and analysis. Grease detection methods are limited, and accurate grease quality assessment based solely on conductivity is difficult.

[0005] For example, the utility model patent application with application number 201721150540.3, entitled "A device for detecting gutter oil based on an electronic nose," discloses a detection device that uses proven gas sensor technology based on the characteristics of the volatile gases emitted by the heated edible oil to determine whether the oil is gutter oil by comparing the gas parameters produced by the tested oil with those produced by qualified edible oil. This device uses a single detection method, and simply detecting gaseous substances is insufficient to prove that the sample is gutter oil, which can easily lead to misjudgment. The sensor used is not targeted, and the judgment of substances in the gutter oil may be incorrect.

[0006] Others have proposed using the PEN3 electronic nose device for detection, but due to the large size of the instrument and the high price of the equipment and detection, it is difficult to make it portable; the use of a general electronic nose array is not targeted for grease detection and has low detection efficiency.

[0007] In summary, most of the current testing of waste cooking oil is done in laboratories. The slow testing process greatly slows down administrative efficiency, is not targeted, and has poor testing results. Therefore, it is of great significance to explore fast and effective analytical testing methods. Summary of the Invention

[0008] In view of the above problems, the present invention provides a portable gutter oil detection device and a detection and analysis method thereof, and designs a portable detection device to quickly and accurately detect gutter oil.

[0009] In order to achieve the above object, the specific technical solutions adopted by the present invention are as follows:

[0010] A recovered oil detection device, the key technology of which is as follows: comprising a shell, a detection tube movably connected to a side wall of the shell, the detection tube communicating with the interior of the shell, an electronic tongue detection component movably arranged in the detection tube along the axial direction, at least two chambers being provided in the shell, an electronic nose detection component being arranged in the chamber close to the detection tube, and a signal processing component being fixed in the chamber away from the detection tube, the electronic tongue detection component and the electronic nose detection component being connected to the signal processing component via a connecting line.

[0011] Through the above design, the detection tube is connected to the inside of the shell. By extending the detection tube to the oil to be detected, the object to be detected can be detected quickly and conveniently. It is easy to carry and has a compact size.

[0012] A further technical solution is that a detection channel is also provided inside the shell, one end of the detection channel is connected to the connecting end of the detection tube, and the other end of the detection channel passes through the inside of the shell and out of the shell. The electronic nose detection component is arranged in the detection channel, and an air pump is also provided at the rear end of the electronic nose detection component for sucking gas.

[0013] During the detection process, the measurement environment is preferably in a windless and convection-free environment, and the measuring tube is preferably set upright so that the generated smoke can directly rise into the shell, making the detection accuracy more accurate.

[0014] A further technical solution is: the connection end of the detection tube is hemispherical, a connection ball hole is opened on the detection tube connection side wall of the housing, and the connection end of the detection tube is hinged to the connection ball hole;

[0015] An arc-shaped groove is also provided on the outer wall of the shell connecting the detection tube, and the radial width of the arc-shaped groove is greater than or equal to the radial width of the detection tube; one end of the arc-shaped groove is connected to the connecting ball hole, and the other end of the arc-shaped groove extends along the outer wall of the shell connecting the detection tube.

[0016] Through the arc groove and ball joint connection, the detection tube can be folded into the arc groove. When not in use, the detection tube can be folded for easy carrying.

[0017] A further technical solution is: the shell is in a cubic shape as a whole; the detection tube is connected to the side wall of one end face of the shell, and the two symmetrical side walls of the shell are both provided with a bending portion, which bends toward the inside of the shell.

[0018] The shell is bent inwards, which makes it easier for the detector to hold the device.

[0019] In order to avoid contaminating more oil to be tested, a sample tank is threadedly connected to the detection end of the detection tube, through which a small amount of oil to be tested can be extracted for testing.

[0020] In a further technical solution, a mounting block is provided in the detection tube, the outer wall of the mounting block abuts against the inner wall of the detection tube, and the mounting block is provided with at least three mounting holes along the axial direction of the detection tube;

[0021] The electronic tongue detection assembly includes at least one graphene sensing electrode, a heating rod, and a conductivity measuring electrode. The graphene sensing electrode and the heating rod are movably arranged in two of the mounting holes in a one-to-one correspondence; the conductivity measuring electrode is arranged in the other mounting hole and fixedly connected to the mounting block; the sampling and control ends of the graphene sensing electrode, the heating rod, and the conductivity measuring electrode all extend out of the detection end of the detection tube;

[0022] A limiting block is respectively provided in the detection tube at both ends of the mounting block.

[0023] Using this solution, a strip-shaped graphene sensing electrode, a heating rod, and a conductivity measurement electrode are all fixed in the mounting holes, with one end used for detection and the other end connected to the circuit. These electrodes are placed in parallel within the detection tube. Pulling or pushing the conductivity measurement electrode moves the graphene sensing electrode and heating rod together within the detection tube, achieving both detection and retraction functions. Furthermore, by providing stoppers, the movement distance of the graphene sensing electrode, heating rod, and conductivity measurement electrode can be limited.

[0024] In a further technical solution, the electronic nose detection component includes an MQ-138 VOC organic volatile gas sensor, an MR516 VOC organic volatile gas sensor, a WSP2110 VOC organic volatile sensor, an MP502 VOC organic volatile gas sensor, a temperature sensor, a humidity sensor and a sensor driving circuit.

[0025] MQ-138 VOC organic volatile gas sensor is sensitive to ketones and can be used to detect 7-decen-2-one, 2-tetradecacyclanone and 3-tridecacyclanone;

[0026] MR516 VOC organic volatile compound gas sensor, used to detect the presence of 1,1,3,4-tetramethyl-cyclopentane and 1,2-epoxytetradecane;

[0027] WSP2110 VOC sensor for detecting cis-7-tetradecenal;

[0028] MP502 VOC organic volatile compound gas sensor can be used to detect short-chain acids.

[0029] The temperature of the oil fume is detected by a temperature sensor, and the moisture in the oil fume is detected by a humidity sensor.

[0030] In a further technical solution, an electronic tongue sensor driving module is further provided between the electronic tongue detection component and the signal processing component; an electronic nose sensor driving module is further provided between the electronic nose detection component and the signal processing component;

[0031] The signal processing component includes a signal conditioning circuit and a processor connected in sequence, and the signal conditioning circuit includes a signal filtering circuit and a signal amplification circuit connected in sequence; an analog-to-digital conversion circuit, a preprocessing unit, a feature extraction unit, and a pattern recognition unit are arranged in the processor, and an LCD display is also connected to the processor, and the LCD display is arranged on the outer wall of the shell.

[0032] The filter module uses an LC circuit for filtering, which has a large load capacity, small current impact on the subsequent amplifier circuit, and significant regulation. The amplifier module amplifies the analog electrical signal, designs a secondary operational amplifier circuit, and sets a sliding resistor for gain adjustment.

[0033] A detection and analysis method for a recovered oil detection device, comprising:

[0034] The step of extending the electronic tongue detection component out of the detection tube to prepare for detection;

[0035] A step for starting the detection device and using the electronic tongue detection component and the electronic nose detection component to heat the recycled oil and collect data;

[0036] The processor performs analog-to-digital signal conversion, preprocessing, data feature extraction and pattern recognition analysis on the acquired oil conditioning output signal.

[0037] The specific steps for the electronic tongue detection component to extend the detection tube to prepare for detection are:

[0038] Find the conductivity measuring electrode from the detection end side of the detection tube;

[0039] Pulling the conductivity measuring electrode to move the mounting block along the extending direction of the detection end of the detection tube;

[0040] The installation block moves to the limit block and stops moving.

[0041] By pushing or pulling the conductivity measuring electrode, the electronic tongue detection component is pushed or pulled to move in the detection tube.

[0042] The steps for starting the detection device and using the electronic tongue detection component and the electronic nose detection component to heat the recycled oil and collect data are specifically as follows:

[0043] Press the start valve that supplies power to the detection device to start the device;

[0044] The detection device is placed within a pre-set detection range of the oil to be detected, and the start button of the processor is pressed to send a detection drive signal to the electronic tongue detection component and the electronic nose detection component to control the operation of the electronic tongue detection component and the electronic nose detection component to obtain a preliminary output signal of the electronic tongue and the preliminary output signal of the electronic nose;

[0045] The electronic tongue preliminary output signal and the electronic nose preliminary output signal are processed by the signal conditioning circuit to obtain the electronic tongue oil conditioning output signal and the electronic nose oil conditioning output signal;

[0046] The analog-to-digital conversion module of the processor obtains the electronic tongue oil conditioning output signal and the electronic nose oil conditioning output signal according to a preset acquisition cycle and acquisition time;

[0047] When the collection time is up, the processor ends the collection and controls the electronic tongue detection component and the electronic nose detection component to end the collection.

[0048] By adopting the above steps, the start valve and the start button are both arranged on the surface of the shell.

[0049] The steps of performing analog-to-digital signal conversion, preprocessing, data feature extraction, and pattern recognition analysis on the acquired oil conditioning output signal by the processor include the steps of performing analog-to-digital signal conversion, preprocessing, feature extraction, and pattern recognition analysis on the electronic nose oil conditioning output signal and the steps of performing analog-to-digital signal conversion, preprocessing, feature extraction, and pattern recognition analysis on the electronic tongue oil conditioning output signal;

[0050] Wherein, the electronic nose oil conditioning output signal at least includes ketone substance concentration information, aldehyde substance concentration information, and carboxylic acid substance concentration information;

[0051] The steps of analog-to-digital signal conversion, preprocessing, feature extraction and pattern recognition analysis of the electronic nose oil-conditioned output signal are as follows:

[0052] The analog-to-digital conversion circuit of the processor performs analog-to-digital conversion on the electronic nose oil conditioning output signal to obtain electronic nose oil sampling data;

[0053] The preprocessing unit of the processor performs smoothing filtering and data normalization on the electronic nose oil sampling data to obtain electronic nose preprocessing data;

[0054] The feature extraction unit of the processor sets a feature extraction method according to all sensor types in the electronic nose detection component, performs feature extraction on the electronic nose preprocessed data, and obtains x groups of electronic nose feature extraction data;

[0055] The pattern recognition unit in the processor compares the electronic nose feature extraction data, classifies the oil usage level according to the pre-set electronic nose detection data classification standard, and obtains the oil usage electronic nose detection level;

[0056] The steps of performing analog-to-digital signal conversion, preprocessing, feature extraction, and pattern recognition analysis on the output signal of the electronic tongue oil conditioning are specifically as follows:

[0057] The analog-to-digital conversion circuit of the processor performs analog-to-digital conversion on the electronic tongue oil conditioning output signal to obtain electronic tongue oil sampling data;

[0058] The preprocessing unit of the processor performs smoothing filtering and data normalization on the electronic tongue oil sampling data to obtain electronic tongue preprocessing data;

[0059] The feature extraction unit of the processor sets the electronic tongue feature extraction mode according to the detection characteristics of the graphene sensor electrode and the conductivity measurement electrode in the electronic tongue detection component, and performs feature extraction on the electronic tongue preprocessing data to obtain electronic tongue feature extraction data;

[0060] The pattern recognition unit in the processor compares the electronic tongue feature extraction data with the oil usage environment category and level to obtain the oil usage environment category and the corresponding oil usage environment category level.

[0061] Furthermore, the electronic nose oil usage detection grades include at least a grade containing a high concentration of representative substances of waste oil, a grade containing a low concentration of representative substances of waste oil, and a grade containing no representative substances of waste oil; wherein the concentration of representative substances of waste oil is compared according to a concentration judgment value. The steps of performing analog-to-digital signal conversion, preprocessing, feature extraction, and pattern recognition analysis on the electronic tongue oil conditioning output signal are specifically as follows: grouping the data detected by all graphene sensor electrodes to obtain y groups of graphene sensor electrode feature extraction data; and obtaining a set of conductivity test data; and comparing the y groups of graphene sensor electrode feature extraction data and the set of conductivity test data in combination with the oil usage environment category and grade to obtain the oil usage environment category and the corresponding oil usage environment category grade. Wherein, x and y are both positive integers.

[0062] Furthermore, the oil environment category level includes at least an oil environment level with a high spiciness, an oil environment level with a low spiciness, and an oil environment level with no spiciness.

[0063] The present invention has the following beneficial effects: The recycled oil detection device is designed to be foldable, enabling portability and testing. It uses a combination of electronic tongue and electronic nose sensors to detect the oil itself and the gases generated after heating. The data obtained is processed and analyzed multiple times to evaluate the oil. Combined with the recycled oil detection device, on-site data collection and test results can be quickly and conveniently obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a three-dimensional structure of the recovered oil detection device Figure 1 ;

[0065] Figure 2 It is a three-dimensional structure of the recovered oil detection device Figure 2 ;

[0066] Figure 3 It is a three-dimensional structure of the recovered oil detection device Figure 3 ;

[0067] Figure 4 This is the rear view of the recovered oil detection device;

[0068] Figure 5 yes Figure 4 Schematic diagram of the cross section at AA in FIG;

[0069] Figure 6 yes Figure 5 An enlarged schematic diagram of C in FIG;

[0070] Figure 7 yes Figure 4 Schematic diagram of the cross section at BB in FIG;

[0071] Figure 8It is the detection control block diagram;

[0072] Figure 9 It is the control principle circuit diagram;

[0073] Figure 10 It is a flow chart for test preparation;

[0074] Figure 11 It is a flow chart of starting the detection device;

[0075] Figure 12 This is a flow chart of the steps for analyzing data collected using the electronic nose using oil;

[0076] Figure 13 It is a flow chart of the steps for analyzing data collected using electronic tongue oil. DETAILED DESCRIPTION

[0077] The specific implementation manner and working principle of the present invention will be further described in detail below with reference to the accompanying drawings.

[0078] A portable recovery oil detection device, combined with Figure 1-4 It can be seen that it includes a shell 1, on one side wall of which a detection tube 2 is movably connected. The detection tube 2 is communicated with the interior of the shell 1, and an electronic tongue detection component 3 is movably arranged in the axial direction inside the detection tube 2.

[0079] Combine Figure 5 It can be seen that two chambers are provided in the shell 1. The electronic nose detection component 4 is provided in the chamber close to the detection tube 2, and the signal processing component 5 is fixed inside the chamber away from the detection tube 2. The electronic tongue detection component 3 and the electronic nose detection component 4 are connected to the signal processing component 5 via a connecting line.

[0080] from Figure 5 It can be seen that the connecting end of the detection tube 2 is hemispherical, and a connecting ball hole is provided on the detection tube connecting side wall of the shell 1, and the connecting end of the detection tube 2 is hinged to the connecting ball hole; an arc groove 6 is also provided on the detection tube connecting outer wall of the shell 1, and the radial width of the arc groove is greater than or equal to the radial width of the detection tube 2; one end of the arc groove 6 is connected to the connecting ball hole, and the other end of the arc groove 6 extends along the detection tube connecting outer wall of the shell 1.

[0081] from Figure 1-4 It can be seen that the shell 1 is in a cubic shape as a whole; the detection tube 2 is connected to the side wall of one end face of the shell 1, and the two symmetrical side walls of the shell 1 are both provided with a bending portion 7, which bends toward the inside of the shell.

[0082] from Figure 1-4 It can be seen that a sample tank 8 is threadedly connected to the detection end of the detection tube 2 .

[0083] from Figure 5 It can be seen that a mounting block 9a is provided in the detection tube 2, the outer wall of the mounting block 9a abuts against the inner wall of the detection tube 2, and the mounting block 9a is provided with at least three mounting holes along the axial direction of the detection tube 2; the electronic tongue detection component 3 includes two graphene sensor electrodes, a heating rod, and a conductivity measuring electrode, and the graphene sensor electrodes and the heating rod are movably arranged in two of the mounting holes in a one-to-one correspondence; the conductivity measuring electrode is arranged in the other mounting hole and fixedly connected to the mounting block 9a; the sampling and control ends of the graphene sensor electrode, the heating rod and the conductivity measuring electrode all extend out of the detection end of the detection tube 2; combined with Figure 5 It can be seen that a limiting block 9b is respectively provided in the detection tube 2 at both ends of the installation block 9a.

[0084] In this embodiment, the electronic nose detection component 4 includes an MQ-138 VOC gas sensor, an MR516 VOC gas sensor, a WSP2110 VOC gas sensor, an MP502 VOC gas sensor, a temperature sensor, a humidity sensor, and an electronic nose detection component driver. The electronic nose detection component driver is used to drive the above sensors and obtain corresponding data.

[0085] In this embodiment, an electronic tongue sensor driving module is further provided between the electronic tongue detection component 3 and the signal processing component 5 ; an electronic nose sensor driving module is further provided between the electronic nose detection component 4 and the signal processing component 5 .

[0086] In this embodiment, combining 8 and Figure 9 It can be seen that the signal processing component 5 includes a signal conditioning circuit 10 and a processor 11 connected in sequence, and the signal conditioning circuit 10 includes a signal filtering circuit and a signal amplifying circuit connected in sequence; the specific circuit is detailed in Figure 9 .

[0087] In this embodiment, combined with Figure 12 The processor 11 is provided with an analog-to-digital conversion circuit 11a, a preprocessing unit 11b, a feature extraction unit 11c, and a pattern recognition unit 11d. The processor 11 is also connected to an LCD display 12, which is provided on the outer wall of the shell 1.

[0088] In this embodiment, processor 11 utilizes an ATMega 2560 microcontroller with an integrated ADC. Therefore, analog signals are directly input to the microcontroller and processed using the analogread command. With a clock frequency of 16 MHz, the computing power is sufficient to meet the computational requirements of this product. In this embodiment, LCD display 12 utilizes an electronic LED screen, directly returning the signal processor's judgment results. It also features three buttons for input and output.

[0089] A detection and analysis method based on a recovered oil detection device includes the steps of extending an electronic tongue detection component 3 from a detection tube 2 to prepare for detection; starting the detection device and heating and collecting data from the recovered oil using the electronic tongue detection component 3 and the electronic nose detection component 4; and performing analog-to-digital signal conversion, preprocessing, data feature extraction, and pattern recognition analysis on an acquired oil conditioning output signal by a processor 11.

[0090] In this embodiment, combined with Figure 10 It can be seen that the steps for extending the electronic tongue detection component 3 from the detection tube 2 to prepare for detection are specifically as follows: finding the conductivity measuring electrode from the detection end side of the detection tube 2; pulling the conductivity measuring electrode to move the mounting block 9a along the extension direction of the detection end of the detection tube 2;

[0091] The installation block 9a moves to the limit block 9b and stops moving;

[0092] In this embodiment, combined with Figure 11 It can be seen that the steps for starting the detection device and using the electronic tongue detection component 3 and the electronic nose detection component 4 to heat the recovered oil and collect data are specifically as follows:

[0093] Press the start valve that supplies power to the detection device to start the device;

[0094] The detection device is placed within a pre-set detection range of the oil to be detected, and the start button of the processor 11 is pressed to send a detection drive signal to the electronic tongue detection component 3 and the electronic nose detection component 4 to control the operation of the electronic tongue detection component 3 and the electronic nose detection component 4, thereby obtaining a preliminary output signal of the electronic tongue and a preliminary output signal of the electronic nose;

[0095] The electronic tongue preliminary output signal and the electronic nose preliminary output signal are processed by the signal conditioning circuit to obtain the electronic tongue oil conditioning output signal and the electronic nose oil conditioning output signal;

[0096] The analog-to-digital conversion circuit of the processor 11 obtains the electronic tongue oil conditioning output signal and the electronic nose oil conditioning output signal according to a preset acquisition cycle and acquisition time;

[0097] When the acquisition time is up, the analog-to-digital conversion circuit ends the acquisition and controls the electronic tongue detection component 3 and the electronic nose detection component 4 to end the acquisition.

[0098] In this embodiment, combined with Figure 12 and 13 The steps of performing analog-to-digital signal conversion, preprocessing, data feature extraction, and pattern recognition analysis on the acquired oil conditioning output signal by the processor 11 include the steps of performing analog-to-digital signal conversion, preprocessing, feature extraction, and pattern recognition analysis on the electronic nose oil conditioning output signal and the steps of performing analog-to-digital signal conversion, preprocessing, feature extraction, and pattern recognition analysis on the electronic tongue oil conditioning output signal;

[0099] Wherein, the electronic nose oil conditioning output signal at least includes ketone substance concentration information, aldehyde substance concentration information, and carboxylic acid substance concentration information;

[0100] The steps of analog-to-digital signal conversion, preprocessing, feature extraction and pattern recognition analysis of the electronic nose oil-conditioned output signal are as follows:

[0101] The analog-to-digital conversion circuit of the processor performs analog-to-digital conversion on the electronic nose oil conditioning output signal to obtain electronic nose oil sampling data;

[0102] The preprocessing unit of the processor performs smoothing filtering and data normalization on the electronic nose oil sampling data to obtain electronic nose preprocessing data;

[0103] The feature extraction unit of the processor sets a feature extraction method according to all sensor types in the electronic nose detection component 4, performs feature extraction on the electronic nose preprocessed data, and obtains x groups of electronic nose feature extraction data;

[0104] The pattern recognition unit in the processor 11 compares the electronic nose feature extraction data, classifies the oil usage level according to the pre-set electronic nose detection data classification standard, and obtains the oil usage electronic nose detection level;

[0105] In this embodiment, x=6, which are data detected by the MQ-138 VOC organic volatile gas sensor, the MR516 VOC organic volatile gas sensor, the WSP2110 VOC organic volatile gas sensor, the MP502 VOC organic volatile gas sensor, the temperature sensor, and the humidity sensor, respectively.

[0106] An electronic nose is an instrument that uses an array of gas sensors to analyze and recognize gas patterns through statistical data analysis, simulating the human sense of smell. The main differences between gutter oil and regular cooking oil are the presence of one, two, or more of the small-molecule fatty acids acetic acid, propionic acid, butyric acid, valeric acid, and hexanoic acid. Butyric acid is the most important characteristic indicator, and even if butyric acid is detected while the other fatty acids are not, the oil sample can be identified as gutter oil. As can be seen from Table 1, the GC / MS small molecule organic volatile components of gutter oil and normal oil are analyzed; as can be seen from Table 2, the small molecule organic volatile components of gutter oil and normal oil are detected by GC / MS; in the literature "Identification of gutter oil by headspace solid phase microextraction-gas chromatography-mass spectrometry" proposed by Li Hong, Tu Dawei, etc., it can be seen that there are SPME-C_,C MS differential component analysis results of gutter oil and normal oil ZCY shown in Table 3; in the content proposed by Wang Le et al. in the literature "Research on the pollution and deterioration of gutter oil", it can be seen that the chemical composition analysis results of gutter oil are shown in Table 4; in Wang Xiaole's paper "A new method for rapid detection of gutter oil based on activated carbon fiber-solid phase microextraction technology and GC-MS", the summary results of exogenous and endogenous pollutants in gutter oil are mentioned as shown in Table 5. Specifically:

[0107] Table 1 GC / MS analysis of small molecule organic volatile components in waste cooking oil and normal cooking oil

[0108]

[0109] Table 2 GC / MS analysis of small molecule organic volatile components in gutter oil and normal cooking oil

[0110]

[0111]

[0112] Table 3 SPME-C_,C, MS differential component analysis of waste cooking oil and normal oil ZCY

[0113]

[0114] Table 4 Chemical composition analysis of waste cooking oil

[0115]

[0116] Table 5 Summary of exogenous and endogenous pollutants in waste cooking oil

[0117]

[0118] This device uses an MQ-138 VOC gas sensor, which is sensitive to ketones and can be used to detect 7-decen-2-one, 2-tetradecacyclanone, and 3-tridecacyclanone. Another MR516 VOC gas sensor, which is sensitive to alkanes, can detect the presence of 1,1,3,4-tetramethylcyclopentane and 1,2-epoxytetradecane. Another WSP2110 VOC gas sensor, which is sensitive to aldehydes, can detect cis-7-tetradecenal. Finally, an MP502 VOC gas sensor, which is sensitive to carboxylic acids and can detect short-chain acids, is used. These sensors are affected by temperature and humidity, so a humidity sensor and a temperature sensor are installed to determine the concentration of the substances under the current ambient temperature and humidity.

[0119] The steps of performing analog-to-digital signal conversion, preprocessing, feature extraction, and pattern recognition analysis on the output signal of the electronic tongue oil conditioning are specifically as follows:

[0120] The analog-to-digital conversion circuit of the processor performs analog-to-digital conversion on the electronic tongue oil conditioning output signal to obtain electronic tongue oil sampling data;

[0121] The preprocessing unit of the processor performs smoothing filtering and data normalization on the electronic tongue oil sampling data to obtain electronic tongue preprocessing data;

[0122] The feature extraction unit of the processor sets the electronic tongue feature extraction factor according to the detection characteristics of the graphene sensor electrode and the conductivity measurement electrode in the electronic tongue detection component 3, and performs feature extraction on the electronic tongue preprocessing data to obtain electronic tongue feature extraction data;

[0123] The pattern recognition unit in the processor 11 compares the electronic tongue feature extraction data with the oil usage environment category and level to obtain the oil usage environment category and the corresponding oil usage environment category level.

[0124] The conductivity measurement method is very simple. A conductivity measuring electrode is added to the existing electronic tongue. The returned conductivity value is then substituted into a formula to calculate the conductivity and compared with that of normal cooking oil. If the sample's conductivity is significantly higher than that of normal cooking oil, it is highly likely to be gutter oil. The main spicy ingredient in chili peppers is capsaicin, which is highly fat-soluble, stable, and has a high boiling point. Research has found that natural capsaicin is composed of 14 capsaicinoid homologues, of which capsaicin and dihydrocapsaicin together account for over 90% of the total capsaicin.

[0125] In this embodiment, y=2.

[0126] It should be pointed out that the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention should also fall within the scope of protection of the present invention.

Claims

1. A portable recovered oil detection device, characterized by: The invention comprises a housing (1), a detection tube (2) being movably connected to a side wall of the housing (1), the detection tube (2) being in communication with the interior of the housing (1), an electronic tongue detection component (3) being movably arranged in the detection tube (2) along the axial direction, at least two chambers being arranged in the housing (1), an electronic nose detection component (4) being arranged in the chamber close to the detection tube (2), and a signal processing component (5) being fixed in the chamber away from the detection tube (2), the electronic tongue detection component (3) and the electronic nose detection component (4) being connected to the signal processing component (5) via a connecting line; A detection channel is also provided inside the housing, one end of the detection channel is communicated with the connection end of the detection tube (2), and the other end of the detection channel passes through the interior of the housing (1) and out of the housing (1). The electronic nose detection component (4) is provided in the detection channel, and an air pump is provided at the rear end of the electronic nose detection component (4) for sucking gas. A mounting block (9a) is provided in the detection tube (2), the outer wall of the mounting block (9a) abuts against the inner wall of the detection tube (2), and the mounting block (9a) is provided with at least three mounting holes along the axial direction of the detection tube (2); The electronic tongue detection component (3) comprises at least one graphene sensing electrode, a heating rod, and a conductivity measuring electrode, wherein the graphene sensing electrode and the heating rod are movably arranged in two of the mounting holes in a one-to-one correspondence; the conductivity measuring electrode is arranged in the other mounting hole and fixedly connected to the mounting block (9a); the sampling and control ends of the graphene sensing electrode, the heating rod, and the conductivity measuring electrode all extend out of the detection end of the detection tube (2); A limit block (9b) is also provided in the detection tube (2) at both ends of the installation block (9a); The strip-shaped graphene sensing electrode, heating rod, and conductivity measuring electrode are all fixed in the mounting hole, with one end used for detection and the other end connected to the circuit. They are arranged in parallel in the detection tube. When the conductivity measuring electrode is pulled or pushed, the graphene sensing electrode and heating rod are driven to move together in the detection tube, realizing the detection and folding functions. An electronic tongue sensor driving module is further provided between the electronic tongue detection component (3) and the signal processing component (5); an electronic nose sensor driving module is further provided between the electronic nose detection component (4) and the signal processing component (5); The signal processing component (5) includes a signal conditioning circuit (10) and a processor (11) connected in sequence, and the signal conditioning circuit (10) includes a signal filtering circuit and a signal amplifying circuit connected in sequence; an analog-to-digital conversion circuit (11a), a preprocessing unit (11b), a feature extraction unit (11c), and a pattern recognition unit (11d) are provided in the processor (11); an LCD display (12) is also connected to the processor (11), and the LCD display (12) is provided on the outer wall of the housing (1); The filter module uses LC circuit for filtering, the amplifier module amplifies the analog electrical signal, designs a secondary operational amplifier circuit, and sets a sliding resistor for gain adjustment; The connection end of the detection tube (2) is hemispherical, a connection ball hole is provided on the detection tube connection side wall of the housing (1), and the connection end of the detection tube (2) is hinged to the connection ball hole; An arc-shaped groove (6) is further provided on the detection tube connection outer wall of the housing (1), wherein the radial width of the arc-shaped groove is greater than or equal to the radial width of the detection tube (2); one end of the arc-shaped groove (6) is communicated with the connection ball hole, and the other end of the arc-shaped groove (6) extends along the detection tube connection outer wall of the housing (1).

2. The portable recovered oil detection device according to claim 1, characterized in that: The shell (1) is generally in a cubic shape; the detection tube (2) is connected to a side wall of one end face of the shell (1); and two symmetrical side walls of the shell (1) are both provided with a bending portion (7), which bends toward the inside of the shell.

3. The portable recovered oil detection device according to claim 1, characterized in that: A sample tank (8) is threadedly connected to the detection end of the detection tube (2).

4. The portable recovered oil detection device according to claim 1, characterized in that: The electronic nose detection component (4) includes an MQ-138 type VOC organic volatile gas sensor, an MR516 type VOC organic volatile gas sensor, a WSP2110 type VOC organic volatile gas sensor, an MP502 type VOC organic volatile gas sensor, a temperature sensor, a humidity sensor and a sensor driving circuit.

5. A detection and analysis method based on the portable recovered oil detection device according to claim 1, characterized in that include: A step for the electronic tongue detection component (3) to extend the detection tube (2) to prepare for detection; A step for starting the detection device, heating the recovered oil and collecting data using the electronic tongue detection component (3) and the electronic nose detection component (4); The processor (11) performs pre-processing, data feature extraction and pattern recognition analysis on the acquired oil usage data; The specific steps of the electronic tongue detection component (3) extending the detection tube (2) to prepare for detection are: Finding a conductivity measuring electrode from the detection end side of the detection tube (2); Pulling the conductivity measuring electrode to move the mounting block (9a) along the extending direction of the detection end of the detection tube (2); The installation block (9a) moves to the limit block (9b), and the installation block (9a) stops moving; The specific steps for starting the detection device and using the electronic tongue detection component (3) and the electronic nose detection component (4) to heat the recovered oil and collect data are as follows: Press the start valve that supplies power to the detection device to start the device; The detection device is placed within a pre-set detection range of the oil to be detected, and a start button of the processor (11) is pressed to send a detection drive signal to the electronic tongue detection component (3) and the electronic nose detection component (4), thereby controlling the operation of the electronic tongue detection component (3) and the electronic nose detection component (4) and obtaining a preliminary output signal of the electronic tongue and a preliminary output signal of the electronic nose; The electronic tongue preliminary output signal and the electronic nose preliminary output signal are processed by the signal conditioning circuit to obtain the electronic tongue oil conditioning output signal and the electronic nose oil conditioning output signal; The analog-to-digital conversion circuit of the processor (11) acquires the electronic tongue oil conditioning output signal and the electronic nose oil conditioning output signal according to a preset acquisition cycle and acquisition time; When the acquisition time is up, the analog-to-digital conversion circuit ends the acquisition and controls the electronic tongue detection component (3) and the electronic nose detection component (4) to end the acquisition; The steps for the processor (11) to perform analog-to-digital signal conversion, preprocessing, data feature extraction and pattern recognition analysis on the acquired oil conditioning output signal include the steps of performing analog-to-digital signal conversion, preprocessing, feature extraction and pattern recognition analysis on the electronic nose oil conditioning output signal and the steps of performing analog-to-digital signal conversion, preprocessing, feature extraction and pattern recognition analysis on the electronic tongue oil conditioning output signal; Wherein, the electronic nose oil conditioning output signal at least includes ketone substance concentration information, aldehyde substance concentration information, and carboxylic acid substance concentration information; The analog-to-digital conversion circuit of the processor performs analog-to-digital conversion on the electronic nose oil conditioning output signal to obtain electronic nose oil sampling data; The preprocessing unit of the processor performs smoothing filtering and data normalization on the electronic nose oil sampling data to obtain electronic nose preprocessing data; The pre-processing unit of the processor performs data elimination and filling operations on the digital data of the electronic nose oil, realizes smoothing filtering and data normalization, and obtains electronic nose pre-processing data; The feature extraction unit of the processor sets feature extraction factors according to all sensor types in the electronic nose detection component (4), classifies and summarizes the electronic nose preprocessing data, and obtains x groups of electronic nose feature extraction data; The pattern recognition unit in the processor (11) compares the electronic nose feature extraction data, divides the oil usage grade according to a pre-set electronic nose detection data classification standard, and obtains the oil usage electronic nose detection grade; The steps of performing analog-to-digital signal conversion, preprocessing, feature extraction, and pattern recognition analysis on the output signal of the electronic tongue oil conditioning are specifically as follows: The analog-to-digital conversion circuit of the processor performs analog-to-digital conversion on the electronic tongue oil conditioning output signal to obtain electronic tongue oil sampling data; The preprocessing unit of the processor performs smoothing filtering and data normalization on the electronic tongue oil sampling data to obtain electronic tongue preprocessing data; The feature extraction unit of the processor sets the electronic tongue feature extraction factors according to the graphene sensing electrode and the conductivity measurement electrode in the electronic tongue detection component (3), and performs feature extraction on the electronic tongue preprocessing data to obtain electronic tongue feature extraction data; The pattern recognition unit in the processor (11) compares the electronic tongue feature extraction data with the oil use environment category and level to obtain the oil use environment category and the corresponding oil use environment category level; The electronic nose oil detection grade includes at least a grade containing a high concentration of representative substances of waste oil, a grade containing a low concentration of representative substances of waste oil, and a grade containing no representative substances of waste oil; wherein the concentration of representative substances of waste oil is compared according to a concentration judgment value; the steps of performing analog-to-digital signal conversion, pre-processing, feature extraction and pattern recognition analysis on the electronic tongue oil conditioning output signal are specifically as follows: grouping the data detected by all graphene sensor electrodes to obtain y groups of graphene sensor electrode feature extraction data; and obtaining a group of conductivity test data; comparing the y groups of graphene sensor electrode feature extraction data and the group of conductivity test data in combination with the oil environment category and grade to obtain the oil environment category and the corresponding oil environment category grade; The oil usage environment category levels include at least an oil usage environment level with a high spiciness, an oil usage environment level with a low spiciness, and an oil usage environment level with no spiciness.

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