Cigarette sample detection device and method

Abstract

The invention relates to a cigarette sample detection device and method. The cigarette sample detection device comprises a sample injection pipeline, an adsorption device, a carrier gas bottle, a switch valve, a six-way valve, a gas chromatographic column, a sensor gas chamber, an MEMS sensor array, a main control circuit board and a sampling pump, the sample injection pipeline is connected with a first port of the six-way valve, and a gas inlet of the sample injection pipeline is used for placing a cigarette sample; the input end of the adsorption device is connected with a second port of the six-way valve, the carrier gas bottle is connected with a third port of the six-way valve through the switching valve, a gas inlet of the gas chromatographic column is connected with a fourth port of the six-way valve, and a gas outlet of the gas chromatographic column is connected with a gas inlet of the sensor gas chamber; the output end of the adsorption device is connected with a fifth port of the six-way valve, and the sampling pump is connected with a sixth port of the six-way valve. The cigarette sample detection device can improve the tobacco quality detection efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of tobacco and tobacco leaves, and in particular to a device and method for detecting cigarette samples. Background Art

[0002] Traditional tobacco leaf quality testing methods include visual inspection, chemical analysis (moisture content, humidity, nicotine content), and physical indicator measurements, all of which are contact-based. Recently, the use of volatile organic compounds (VOCs) in food for quality diagnosis has attracted widespread attention. As a food product, tobacco leaf quality changes can lead to changes in the composition and concentration of VOCs within the leaves. Therefore, analyzing changes in VOC composition within tobacco leaves can be used to determine the quality grade of the leaves. However, a device for detecting VOCs in tobacco leaves to assess tobacco leaf quality has yet to be developed. Summary of the Invention

[0003] Based on this, it is necessary to provide a cigarette sample detection device capable of detecting volatile organic compounds in tobacco leaves, as well as a control method, a control device and a storage medium thereof, in order to address the above technical problems.

[0004] A cigarette sample detection device includes: a sample inlet pipeline, an adsorption device, a carrier gas bottle, a switch valve, a six-way valve, a gas chromatography column, a sensor chamber, a MEMS sensor array, a main control circuit board, and a sampling pump, wherein:

[0005] The sample injection line is connected to the first port of the six-way valve, the air inlet of the sample injection line is used to place the cigarette sample, the input end of the adsorption device is connected to the second port of the six-way valve, the carrier gas bottle is connected to the third port of the six-way valve via a switch valve, the air inlet of the gas chromatography column is connected to the fourth port of the six-way valve, the air outlet of the gas chromatography column is connected to the air inlet of the sensor gas chamber, the output end of the adsorption device is connected to the fifth port of the six-way valve, and the sampling pump is connected to the sixth port of the six-way valve;

[0006] When the detection device is in a sampling mode, the main control circuit board controls the first port and the second port of the six-way valve to be connected, the fifth port and the sixth port to be connected, and controls the sampling pump to start, so that the adsorption device adsorbs the cigarette volatile gas of the cigarette sample entering from the sampling line through the six-way valve under negative pressure;

[0007] When the detection device ends the sampling mode and enters the detection mode, the main control circuit board controls the second port of the six-way valve to be connected to the third port, the fourth port to be connected to the fifth port, and controls the switch valve to be opened, so that the volatile gas from the cigarette in the adsorption device is carried into the gas chromatography column and the sensor gas chamber through the six-way valve under the action of the carrier gas bottle;

[0008] Among them, the MEMS sensor array is arranged in the sensor air chamber, and the MEMS sensor array is used to detect the volatile gas components and concentration, temperature and humidity of the cigarette, and transmit the detection data to the main control circuit board. The main control circuit board is also used to obtain the detection results of the cigarette sample based on the detection data.

[0009] The above-mentioned cigarette sample detection device seamlessly switches between sampling mode and detection mode through a six-way valve, performs negative pressure sampling through an adsorption device and a sampling pump, enriches cigarette volatile gases, and then uses carrier gas to drive it through a carrier gas bottle; a gas chromatography column and a MEMS sensor array are used for the separation and detection of cigarette flavor substances, respectively, and the MEMS sensor array is used to simultaneously obtain cigarette volatile gas composition and concentration, temperature and humidity data, and then the main control board processes the above data to obtain the detection results of the cigarette sample, which greatly improves the efficiency of detecting cigarette volatile gases and realizes the application value of the above-mentioned detection device in the quality detection of cigarettes and tobacco leaves.

[0010] In one embodiment, the detection device further includes a flow meter connected to the sampling pump, and the flow meter is used to detect the gas flow data of the sampling pump and transmit the data to the main control circuit board;

[0011] The main control circuit board is further used to adjust the power of the sampling pump according to the gas flow data to adjust the gas flow passing through the adsorption device.

[0012] In one embodiment, the MEMS sensor array is obtained by arranging a plurality of MEMS sensors in combination, wherein some of the MEMS sensors are coated with a sensitive material, and the sensitive material is a mixture of an adsorption material and a sensitive film material; the sensitive film material includes a conductive polymer material, a precious metal material, and a metal oxide material; the sensitive material is used to adsorb and sensitize the volatile gas in the cigarette; and the other MEMS sensors serve as temperature sensors and humidity sensors respectively.

[0013] In one embodiment, the sensor chamber further includes an air outlet, and the air outlet of the sensor chamber and the air inlet of the sensor chamber form an air path, and the air path allows the gas entering the sensor chamber to fully contact the MEMS sensor array.

[0014] In one embodiment, the switch valve is a proportional control valve;

[0015] The main control circuit board is also used to control the gas circuit pressure of the sensor gas chamber through the proportional control valve.

[0016] In one embodiment, the main control circuit board includes an MCU module, a temperature control module, and a sampling module, wherein:

[0017] The MCU module is used to control the circuit of the detection device;

[0018] The temperature control module is used to control the temperature of the MEMS sensor array;

[0019] The sampling module is used to collect detection data detected by the MEMS sensor array.

[0020] A cigarette sample detection method is applied to a main control circuit board. When the main control circuit board is applied to the cigarette sample detection device as described above, the method includes:

[0021] When the detection device is in a sampling mode, controlling the first port and the second port of the six-way valve to be connected, the fifth port and the sixth port of the six-way valve to be connected, and controlling the sampling pump to start, so that the adsorption device adsorbs the cigarette volatile gas from the cigarette sample under negative pressure;

[0022] When the detection device ends the sampling mode and enters the detection mode, controlling the second port of the six-way valve to be connected to the third port, controlling the fourth port of the six-way valve to be connected to the fifth port, and controlling the switch valve to be opened;

[0023] The volatile gas components and concentrations, temperature and humidity of the cigarette detected by the sensor array are obtained, thereby obtaining the detection results of the cigarette sample.

[0024] In one embodiment, the method further comprises:

[0025] Acquiring gas flow data of a sampling pump detected by a flow meter; the flow meter is connected to the sampling pump;

[0026] According to the gas flow data, the power of the sampling pump is adjusted to adjust the gas flow passing through the adsorption device.

[0027] In one embodiment, the method further comprises:

[0028] generating a MEMS sensor array detection curve according to the detection results;

[0029] extracting feature values from the detection curve of the MEMS sensor array; the feature values include maximum response value, sum of integral areas, maximum positive slope, response peak value and response time.

[0030] In one embodiment, the extracting feature values from the detection curve of the MEMS sensor array includes:

[0031] the maximum response value is obtained according to the ratio of the difference between the response peak value and the stable value of a single MEMS sensor and the stable value;

[0032] the calculation formula of the sum of integral areas is as follows:

[0033]

[0034] wherein, x i represents the i th point on the integral curve, x i+1 represents the i+1 th point on the integral curve; h is the distance between the adjacent points x i and x i+1 on the integral curve; n represents that the integral curve is evenly divided into n parts, R(x i ) and R(x i+1 ) represent the real-time response values corresponding to the i th and i+1 th points on the integral curve respectively;

[0035] the calculation formula of the maximum positive slope is as follows:

[0036]

[0037] wherein, F is the maximum positive slope, and x is the time from the start response to the peak response;

[0038] the calculation formula of the response peak value is as follows:

[0039]

[0040] the calculation formula of the response time is as follows:

[0041]

[0042] wherein, T is the response time of a single sensor, T max is the time corresponding to the response peak value of the MEMS sensor, and T a is the time corresponding to the stable value of the MEMS sensor.

[0043] In the above-mentioned cigarette sample detection method, the main control circuit board seamlessly switches between the sampling mode and the detection mode by controlling the six-way valve, performs negative pressure sampling by controlling the sampling pump, so that the adsorption device enriches the volatile gases in the cigarette, and then controls the carrier gas bottle to use carrier gas drive by controlling the switch valve; uses the gas chromatography column and MEMS sensor array to separate and detect cigarette flavor substances, and uses the MEMS sensor array to simultaneously obtain the composition, concentration, temperature and humidity data of the volatile gases in the cigarette. The above-mentioned data is then processed to obtain the detection results of the cigarette samples, which greatly improves the efficiency of detecting cigarette volatile gases. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the conventional technology, the following briefly introduces the drawings required for use in the embodiments or the conventional technology descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 is a schematic structural diagram of a cigarette sample detection device in one embodiment;

[0046] Figure 2 A schematic structural diagram of a cigarette sample detection device in a detection mode according to an embodiment;

[0047] Figure 3 Schematic diagram of a process for detecting cigarette samples in one embodiment;

[0048] Figure 4 A schematic diagram of the BP neural network algorithm structure in another embodiment;

[0049] Figure 5 is a schematic flow chart of a method for predicting cigarette sample quality in another embodiment;

[0050] Figure 6 is a structural block diagram of a cigarette sample detection device in one embodiment;

[0051] Figure 7 is a diagram of the internal structure of a computer device in one embodiment;

[0052] Explanation of the accompanying symbols: 1. Air inlet of the sampling pipeline; 2. Adsorption device; 3. Carrier gas bottle; 4. Switch valve; 5. Six-way valve; 6. Gas chromatography column; 7. Sensor gas chamber; 8. MEMS sensor array; 9. Main control circuit board; 10. Sampling pump; 11. Flow meter. DETAILED DESCRIPTION

[0053] For the purposes of the present application, the application will now be described in more detail, by way of example only, with reference to the accompanying drawings. The embodiments depicted in the drawings are intended to be illustrative only, and the application can be implemented in a variety of different forms and is not limited to the embodiments described herein. Rather, the aim of these embodiments is to provide a more thorough and complete disclosure of the application.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description herein is for describing particular embodiments only and is not intended to be limiting of the application.

[0055] It is to be understood that the terms “first”, “second”, and so on used herein to describe various elements are only used for the purpose of description, and these elements are not limited by these terms.

[0056] It is to be noted that when an element is referred to as being “connected” to another element, it can be directly connected to the other element, or connected to the other element through an intervening element. Also, “connected” in the following embodiments, if there is a transmission of electrical signals or data between the connected objects, should be understood as “electrically connected”, “communicatively connected”, and the like.

[0057] As used herein, the singular forms “a”, “an” and “the” include plural referents unless the context clearly indicates otherwise. It will be further understood that the terms “comprises”, “comprising”, “includes” and / or “including”, or the like, when used in this specification, specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.

[0058] As described in the background, traditional tobacco leaf quality testing methods include visual inspection, chemical analysis (moisture content, humidity, nicotine content), and physical indicator measurement. These methods are often contact-based. Recently, the use of volatile organic compounds (VOCs) in food for quality diagnosis has attracted widespread attention. As a food product, changes in tobacco leaf quality can lead to changes in the composition and concentration of VOCs in the leaves themselves. Therefore, analyzing changes in VOC composition in tobacco leaves can be used to determine the quality grade of the leaves. Currently, no device for detecting VOCs in tobacco leaves has been proposed for assessing tobacco leaf quality. The applicant's research has discovered that gas chromatography, with its high repeatability and stability, has become an important analytical tool in fields such as food safety monitoring, biomedicine, environmental protection, and electrical equipment. Detection equipment developed using chromatographic separation technology is highly mature and capable of performing both quantitative and qualitative analysis of complex mixtures. Based on this, a system based on gas chromatography combined with MEMS (Micro-Electro-Mechanical Systems Sensor Array) sensor array is designed, which has excellent application value in tobacco leaf quality detection.

[0059] In one embodiment, Figure 1As shown, a cigarette sample detection device is provided, including an injection pipeline, an adsorption device 2, a carrier gas bottle 3, a switch valve 4, a six-way valve 5, a gas chromatography column 6, a sensor chamber 7, a MEMS sensor array 8, a main control circuit board 9 and a sampling pump 10, wherein: the injection pipeline is connected to the first port of the six-way valve 5, the air inlet 1 of the injection pipeline is used to place the cigarette sample, the input end of the adsorption device 2 is connected to the second port of the six-way valve 5, the carrier gas bottle 3 is connected to the third port of the six-way valve 5 through the switch valve 4, the air inlet of the gas chromatography column 6 is connected to the fourth port of the six-way valve 5, the air outlet of the gas chromatography column 6 is connected to the air inlet of the sensor chamber 7, the output end of the adsorption device 2 is connected to the fifth port of the six-way valve 5, and the sampling pump 10 is connected to the sixth port of the six-way valve 5; when the detection device is in sampling mode, the main control circuit board 9 controls the first port of the six-way valve 5 The first port is connected to the second port, the fifth port is connected to the sixth port, and the sampling pump 10 is controlled to start, so that the adsorption device 2 adsorbs the cigarette volatile gas of the cigarette sample entering from the sampling pipeline through the six-way valve 5 under negative pressure; when the detection device ends the sampling mode and enters the detection mode, the main control circuit board 9 controls the second port of the six-way valve 5 to be connected to the third port, the fourth port to be connected to the fifth port, and controls the switch valve 4 to be opened, and under the action of the carrier gas bottle 3, the cigarette volatile gas in the adsorption device 2 is loaded into the gas chromatography column 6 and the sensor chamber 7 through the six-way valve 5; wherein, the MEMS sensor array 8 is arranged in the sensor chamber 7, the MEMS sensor array 8 is used to detect the composition and concentration, temperature and humidity of the cigarette volatile gas, and transmit the detection data to the main control circuit board 9, and the main control circuit board 9 is also used to obtain the detection result of the cigarette sample according to the detection data.

[0060] Among them, the volatile gases of cigarette samples (such as Figure 1 as well as Figure 2 The "cigarette aroma" in this context may refer to volatile organic compounds released by unburned cigarette samples, such as aroma-causing substances like aldehydes, ketones, and alcohols. The components of the aforementioned gas path may be connected by conduits. For example, the input end of the adsorption device 2 may be connected to the second port of the six-way valve 5 via a conduit. The test result may refer to a quantitative evaluation of cigarette quality obtained by analyzing the aroma-causing substances in the cigarette sample after sampling and testing.

[0061] Specifically, a cigarette sample is placed at the air inlet 1 of the sampling pipeline, and the detection device starts the sampling mode, such as Figure 1As shown, the main control circuit board 9 controls the first port and the second port of the six-way valve 5 to be connected, the fifth port and the sixth port to be connected, and controls the sampling pump 10 to start. After the sampling pump 10 is started, a negative pressure is formed in the pipeline, and the volatile gas of the cigarette sample placed at the air inlet 1 of the sampling pipeline flows from the sampling pipeline to the first port and the second port of the six-way valve 5 and then enters the adsorption device 2. The adsorption device 2 adsorbs the volatile gas of the cigarette; after a period of time in the sampling mode, the detection device ends the sampling mode and enters the detection mode, as shown in FIG. Figure 2 As shown, the main control circuit board 9 controls the second port and the third port of the six-way valve 5 to be connected, the fourth port and the fifth port to be connected, and controls the switch valve 4 to be opened. The carrier gas bottle 3 carries the cigarette volatile gas adsorbed in the adsorption device 2 into the fifth port of the six-way valve 5 through the opened switch valve 4 and the connected third port and second port of the six-way valve 5, and then outputs it from the fourth port, enters the gas chromatography column 6 through the air inlet of the gas chromatography column 6, and enters the sensor gas chamber 7 after separation in the gas chromatography column 6. The MEMS sensor array 8 detects the separated cigarette volatile gas, detects its gas composition and concentration, temperature and humidity, and transmits the detection data to the main control circuit board 9. The main control circuit board 9 then obtains the detection result of the cigarette sample based on the detection data.

[0062] In the above-mentioned cigarette sample detection device, the sampling mode and the detection mode are seamlessly switched through the six-way valve 5, and negative pressure sampling is performed through the adsorption device 2 and the sampling pump 10 to enrich the volatile gas of the cigarette, and then the carrier gas is used to drive it through the carrier gas bottle 3; the gas chromatography column 6 and the MEMS sensor array 8 are used for the separation and detection of cigarette flavor substances, respectively, and the MEMS sensor array 8 is used to simultaneously obtain the composition and concentration, temperature and humidity data of the volatile gas of the cigarette, and then the main control board processes the above data to obtain the detection results of the cigarette sample, which greatly improves the efficiency of detecting cigarette volatile gases and realizes the application value of the above-mentioned detection device in the quality detection of cigarettes and tobacco leaves.

[0063] In one embodiment, Figure 1 as well as Figure 2 As shown, the detection device also includes a flow meter 11, which is connected to the sampling pump 10. The flow meter 11 is used to detect the gas flow data of the sampling pump 10 and transmit it to the main control circuit board 9; the main control circuit board 9 is also used to adjust the power of the sampling pump 10 according to the gas flow data to adjust the gas flow through the adsorption device 2.

[0064] Exemplarily, when the detection device starts the sampling mode, the main control circuit board 9 acquires the data of the flow meter 11, which can reflect the actual gas flow rate through the adsorption device 2. The main control circuit board 9 can calculate the gap with the target gas flow rate through the data of the flow meter 11, and then change the power of the sampling pump 10 according to the gap to realize the change of the actual gas flow rate. The main control circuit board 9 can suspend the sampling mode when the data of the flow meter 11 reaches the preset standard. For example, if the continuously acquired data of the flow meter 11 all reaches the target gas flow rate within the preset time length, the main control circuit board 9 can issue an instruction to turn off the sampling pump 10 to suspend or complete the sampling.

[0065] In this embodiment, the flow rate through the adsorption device 2 is monitored in real time through the flow meter 11, and the main control circuit board 9 can adjust the power of the sampling pump 10 according to the sampling flow rate to realize the optimization of the flow rate through the adsorption device 2 and the adsorption efficiency, thereby improving the sampling efficiency.

[0066] In one embodiment, the MEMS sensor array 8 is arranged by combining a plurality of MEMS sensors, wherein part of the MEMS sensors are coated with a sensitive material, and the sensitive material is obtained by mixing and adjusting an adsorption material and a sensitive film material; the sensitive film material includes a conductive polymer material, a noble metal material and a metal oxide material; the sensitive material is used to adsorb and sensitize the volatile gas of cigarettes; and the other MEMS sensors are respectively used as temperature sensors and humidity sensors.

[0067] In this embodiment, the sensitive material obtained by mixing and adjusting the adsorption material and the sensitive film material adsorbs and sensitizes the volatile gas of cigarettes, so that the gas molecules can effectively contact the sensitive material, and the detection range can be expanded by combining multiple types of sensitive film materials; and the influence of temperature and humidity on the detection process can be corrected in real time by using part of the MEMS sensors as temperature sensors and humidity sensors.

[0068] In one embodiment, the sensor gas chamber 7 further includes a gas outlet, and the gas outlet of the sensor gas chamber 7 and the gas inlet of the sensor gas chamber 7 form a gas path, which enables the gas entering the sensor gas chamber 7 to fully contact the MEMS sensor array 8.

[0069] The gas outlet can be a gas outlet of the sensor gas chamber 7, and the gas outlet and the gas inlet form a closed loop flow path (gas path), which enables the gas entering the sensor gas chamber 7 to fully contact the MEMS sensor array 8.

[0070] In this embodiment, the gas path formed by the gas outlet of the sensor gas chamber 7 and the gas inlet of the sensor gas chamber 7 enables the gas entering the sensor gas chamber 7 to fully contact the MEMS sensor array 8, thereby improving the detection sensitivity and repeatability of the MEMS sensor array 8.

[0071] In one embodiment, the switch valve 4 is a proportional control valve; the main control circuit board 9 is also used to control the gas circuit pressure of the sensor gas chamber 7 through the proportional control valve.

[0072] The proportional control valve may refer to a solenoid valve that can linearly adjust the valve opening.

[0073] In this embodiment, the main control circuit board 9 can adjust the opening of the proportional control valve to achieve regulation of the carrier gas pressure in the pipeline, further achieve gas path pressure control of the sensor gas chamber 7, and thus optimize the contact efficiency and contact quality of the sensor array.

[0074] In one embodiment, a pressure sensor is provided in the sensor air chamber 7 for monitoring the air circuit pressure in the air chamber in real time; the air circuit pressure is then transmitted to the main control circuit board 9, and the main control circuit board 9 controls the air circuit pressure of the sensor air chamber 7 through a proportional control valve according to the monitored air circuit pressure.

[0075] In another embodiment, another flow meter 11 may be provided in the pipeline connected to the gas chromatography column 6 or the sensor gas chamber 7, so that the main control circuit board 9 can adjust the opening of the proportional control valve based on the flow data from the other flow meter 11, thereby changing the gas line pressure, thereby achieving gas flow control in the gas chromatography column 6 or the sensor gas chamber 7. In this embodiment, the other flow meter 11 can be used to control the gas flow velocity entering the gas chromatography column 6 and the gas line pressure in the sensor gas chamber 7, thereby improving the chromatographic separation accuracy and optimizing the sensor's responsiveness.

[0076] In one embodiment, the main control circuit board 9 includes an MCU module, a temperature control module and a sampling module, wherein: the MCU module is used to control the circuit of the detection device; the temperature control module is used to control the temperature of the MEMS sensor array 8; and the sampling module is used to collect detection data detected by the MEMS sensor array 8.

[0077] The temperature control module is used to control the temperature of the MEMS sensor array 8 to facilitate the adsorption and desorption of volatile gases (aromatic substances) in cigarette samples. "Desorption" can refer to the process in which target substances (such as gas molecules, biomolecules, volatile organic compounds, etc.) adsorbed on the sensitive surface of the MEMS sensor array 8 are released under specific conditions (for example, by heating the adsorbed substances to remove them from the sensor surface). This process is a key step in many detection scenarios (such as sensor regeneration, eliminating residual interference, or enhancing the detection signal by releasing the target substance through desorption).

[0078] Exemplarily, for the MCU module, there may be: a startup phase: the MCU module receives external instructions (such as "start detection") or executes a preset program, and first sends a target temperature instruction to the temperature control module (such as "control the temperature of the MEMS sensor array 8 at 35°C"); a coordination phase: receives the temperature status feedback from the temperature control module in real time, and when it is confirmed that the temperature is stable within the target range, sends a "start sampling" instruction to the sampling module; a monitoring phase: during the sampling process, the MCU continuously receives data from the sampling module and temporarily stores it, while monitoring the circuit status (such as power supply anomaly, module failure), and issues adjustment instructions (such as stop detection, alarm) if a problem occurs. The temperature control module may include: temperature acquisition: converting the current temperature of the MEMS sensor array 8 into a voltage signal (e.g. 25°C corresponds to 1V, 35°C corresponds to 1.5V) through a temperature detection element (e.g. thermistor); contrast adjustment: the control circuit (or MCU) compares the current temperature signal with the target temperature signal (e.g. 35°C corresponds to 1.5V). If the current temperature is low (e.g. signal 1V), the heating resistor is driven to work (increase the temperature); if the current temperature is high (e.g. signal 1.8V), the heating is stopped or the cooling element is started (lower the temperature); stable maintenance: through the above closed-loop feedback, the temperature of the sensor array is stabilized within the target range (e.g. ±0.3°C fluctuation). The sampling module can have the following functions: signal generation: when the MEMS sensor array 8 contacts the detection target (such as the gas to be detected), the physical properties of its sensitive elements (such as resistance) change, and a weak analog signal related to the target characteristics is output (such as the higher the concentration, the greater the resistance change, and the more obvious the corresponding voltage change); signal processing: the signal conditioning circuit of the sampling module filters the analog signal (removes environmental electromagnetic noise) and amplifies the analog signal (amplifies the mV level signal to the V level); digital-to-analog conversion and transmission: the analog-to-digital conversion unit converts the processed analog signal into a digital signal (such as an 8-bit binary number) and transmits it to the MCU module through the communication interface to complete data collection.

[0079] In this embodiment, the circuit of the entire detection device is centrally controlled by the MCU module, avoiding conflicts between modules (such as premature sampling when the temperature is not stable), ensuring that the detection process is carried out in an orderly manner according to the preset logic, improving the stability and coordination of the device operation, and enabling the entire detection device to be accurately synchronized; the detection characteristics of the MEMS sensor (such as sensitivity and response speed) are significantly affected by temperature (for example, temperature fluctuations may cause baseline drift and be misjudged as detection signals), and the stable temperature control of the temperature control module can reduce temperature interference, so that the sensor output signal is only related to the detection target, thereby improving the accuracy and repeatability of the detection data (multiple detection results are more consistent); the output signal of the MEMS sensor is usually weak (mV level) and susceptible to noise interference. The specialized processing of the sampling module can effectively remove noise, amplify the effective signal, and avoid data distortion; at the same time, the analog-to-digital conversion to digital signal facilitates MCU processing and storage, improving the accuracy and efficiency of data collection; based on the above modules, the detection accuracy, interference resistance and reliability of the detection device can be improved.

[0080] In one embodiment, Figure 3 As shown, a cigarette sample detection method is provided, which is applied to a main control circuit board 9, and the main control circuit board 9 is applied to the above cigarette sample detection device (such as Figure 1 as well as Figure 2 ), the method comprises:

[0081] Step S302, when the detection device is in sampling mode, controls the first port and the second port of the six-way valve 5 to be connected, the fifth port and the sixth port of the six-way valve 5 to be connected, and controls the sampling pump 10 to start, so that the adsorption device 2 adsorbs the cigarette volatile gas of the cigarette sample under negative pressure.

[0082] Step S304 , when the detection device ends the sampling mode and enters the detection mode, the second port and the third port of the six-way valve 5 are connected, the fourth port and the fifth port of the six-way valve 5 are connected, and the switch valve 4 is opened.

[0083] Step S306 : Acquire the volatile gas components and concentrations, temperature, and humidity of the cigarette detected by the sensor array, thereby obtaining the detection results of the cigarette sample.

[0084] Specifically, a cigarette sample is placed at the air inlet 1 of the sampling pipeline, and the detection device starts the sampling mode, such as Figure 1As shown, the main control circuit board 9 controls the six-way valve 5 to connect the first port and the second port, the fifth port and the sixth port, and controls the sampling pump 10 to start. After the sampling pump 10 starts, the pipeline forms a negative pressure, and the cigarette volatile gas of the cigarette sample placed at the air inlet 1 of the sampling pipeline enters the adsorption device 2 from the first port to the second port of the six-way valve 5, and the adsorption device 2 adsorbs the cigarette volatile gas; after the sampling mode is collected for a period of time, the detection device ends the sampling mode and enters the detection mode, such as Figure 2 As shown, the main control circuit board 9 controls the six-way valve 5 to connect the second port and the third port, the fourth port and the fifth port, and controls the on-off valve 4 to open. The carrier gas bottle 3 carries the cigarette volatile gas adsorbed in the adsorption device 2 to the fifth port of the six-way valve 5 through the opened on-off valve 4 and the connected third port and second port of the six-way valve 5, and then outputs from the fourth port, enters the gas chromatographic column 6 through the air inlet of the gas chromatographic column 6, enters the sensor gas chamber 7 after being separated in the gas chromatographic column 6, the MEMS sensor array 8 detects the separated cigarette volatile gas, detects the gas composition, concentration, temperature and humidity, and transmits the detection data to the main control circuit board 9, and the main control circuit board 9 obtains the detection result of the cigarette sample according to the detection data.

[0085] In the above-mentioned cigarette sample detection method, the main control circuit board 9 controls the six-way valve 5 to seamlessly switch between the sampling mode and the detection mode, controls the sampling pump 10 to perform negative pressure sampling, so that the adsorption device 2 enriches the cigarette volatile gas, and controls the on-off valve 4 to control the carrier gas bottle 3 to use the carrier gas to drive; the gas chromatographic column 6 and the MEMS sensor array 8 are used to separate and detect the cigarette flavoring material, the MEMS sensor array 8 is used to simultaneously obtain the cigarette volatile gas composition, concentration, temperature and humidity data, and the foregoing data is processed to obtain the detection result of the cigarette sample, which greatly improves the efficiency of detecting the cigarette volatile gas.

[0086] In one embodiment, the cigarette sample detection method further comprises: obtaining the gas flow data of the sampling pump 10 detected by the flow meter 11; the flow meter 11 is connected with the sampling pump 10; and according to the gas flow data, the power of the sampling pump 10 is adjusted to adjust the gas flow through the adsorption device 2.

[0087] Exemplarily, when the detection device starts the sampling mode, the master control circuit board 9 acquires the data of the flow meter 11, which can reflect the actual gas flow rate through the adsorption device 2. The master control circuit board 9 can calculate the gap with the target gas flow rate through the data of the flow meter 11, and then change the power of the sampling pump 10 according to the gap to change the actual gas flow rate. The master control circuit board 9 can suspend the sampling mode when the data of the flow meter 11 reaches a preset standard. For example, if the continuously acquired data of the flow meter 11 all reaches the target gas flow rate within a preset time length, the master control circuit board 9 can issue an instruction to turn off the sampling pump 10 to suspend or complete the sampling.

[0088] In this embodiment, the master control circuit board 9 monitors the flow rate through the adsorption device 2 in real time through the flow meter 11. The master control circuit board 9 can adjust the power of the sampling pump 10 according to the sampling flow rate to optimize the flow rate through the adsorption device 2 and the adsorption efficiency, thereby improving the sampling efficiency.

[0089] In one embodiment, the cigarette sample detection method further comprises: generating a MEMS sensor array 8 detection curve according to the detection result; extracting a characteristic value from the MEMS sensor array 8 detection curve; the characteristic value includes a maximum response value, a sum of curve integral areas, a maximum positive slope, a response peak value, and a response time.

[0090] The MEMS sensor array 8 detection curve can be a curve of the output signal of the MEMS sensor array 8 changing with time when the MEMS sensor array 8 adsorbs and sensitizes the volatile gas of the cigarette, for example, the horizontal axis is time, and the vertical axis is the response value of the sensor (reflecting the sensitivity to the gas component), and the curve form dynamically changes with the gas component, the concentration, and the sensor response characteristics.

[0091] The characteristic value can be a key parameter extracted from the detection curve, which quantitatively reflects the sensor response characteristics and the gas properties.

[0092] In this embodiment, the sensor dynamic response is visualized by generating the MEMS sensor array 8 detection curve, and the characteristic value is extracted from the MEMS sensor array 8 detection curve to quantitatively obtain the key information, thereby improving the accuracy of the detection result. By uniformly extracting the characteristic values of a fixed type, the detection results of different cigarette samples can be directly compared through the same characteristic values. Based on the above means, the dynamic response of the MEMS sensor can be converted into traceable, quantifiable, and comparable information, thereby improving the reliability, accuracy, and practicability of the cigarette sample detection. Meanwhile, the standardized characteristic values can be used as the input of subsequent data analysis (such as machine learning classification model training) to provide a basis for the automatic quality detection or classification of the cigarette sample.

[0093] In one embodiment, the characteristic value extracted from the MEMS sensor array 8 detection curve comprises:

[0094] The maximum response value is obtained according to the ratio of the difference between the response peak value and the stable value of the single MEMS sensor to the stable value;

[0095] The calculation formula of the sum of the curve integral areas is as follows:

[0096]

[0097] Wherein, x i represents the i th point on the integral curve, x i+1 represents the i+1 th point on the integral curve; h is the distance between the adjacent points x i and x i+1 on the integral curve; n represents that the integral curve is evenly divided into n parts, R(x i ) and R(x i+1 ) represent the real-time response values corresponding to the i th and i+1 th points on the integral curve respectively;

[0098] The calculation formula of the maximum positive slope is as follows:

[0099]

[0100] Wherein, F is the maximum positive slope, and x is the time from the start response to the peak response;

[0101] The calculation formula of the response peak value is as follows:

[0102]

[0103] The calculation formula of the response time is as follows:

[0104]

[0105] Wherein, T is the response time of the single sensor, T max is the time corresponding to the response peak value of the MEMS sensor, and T a is the time corresponding to the stable value of the MEMS sensor.

[0106] Wherein, the maximum response value can reflect the relative intensity of the sensor response. The sum of the curve integral areas can reflect the cumulative response amount of the sensor to the target gas in the whole response process. The maximum positive slope can reflect the response speed of the sensor to the target gas (i.e. the speed of the reaction between the gas and the sensitive material of the sensor). The response peak value can reflect the maximum action intensity of the gas and the sensor. The response time can reflect the speed of the dynamic process of the sensor response.

[0107] In this embodiment, the five extracted eigenvalues ​​can describe the sensor response characteristics from different dimensions respectively. The combination of multi-dimensional eigenvalues ​​can fully capture the static and dynamic characteristics of the curve, reduce the error caused by the one-sidedness of a single feature, enhance the ability to distinguish the volatile gases of different cigarette samples, and thus improve the detection accuracy.

[0108] In a specific embodiment, Figures 1-2 As shown, the present application also provides a tobacco leaf quality detection system and method based on a MEMS sensor array and gas chromatography, the detection system comprising: an inlet (gas inlet 1 of the sampling pipeline) 1, an adsorption device 2, a carrier gas bottle 3, a proportional control valve (switch valve 4) 4, a six-way valve 5, a gas chromatograph column 6, a sensor gas chamber 7, a MEMS sensor array 8, a main control circuit board 9, a sampling pump 10, and a flow meter 11; port 1 (the first port) of the six-way valve 5 is connected to port 2, port 3 is connected to port 4, and port 5 is connected to port 6; the inlet 1 is connected to the six-way valve 5 through a conduit; the adsorption device 2 is connected to the six-way valve 5 through a conduit; the sampling pump 10 is connected to the six-way valve 5 through a conduit, and the flow meter 11 is connected to the sampling pump 10 through a conduit; the inlet of the proportional control valve 4 The air duct is connected to the carrier gas bottle 3, and the outlet air duct of the proportional control valve 4 is connected to the six-way valve 5; the inlet air duct of the gas chromatograph 6 is connected to the six-way valve 5, and the outlet air duct is connected to the inlet of the sensor gas chamber 7; the main control circuit board 9 includes a temperature control module, an MCU module and a sampling module, and the main control circuit board 9 circuit is connected to the carrier gas bottle 3, the sampling pump 10, the flow meter 11 and the MEMS sensor array 8; the flow meter 11 is used to control the gas flow of the entire system; the proportional control valve 4 is used to control the gas path pressure; the adsorption device 2 is used to adsorb volatile flavor substances in cigarettes; a temperature control plate is connected to the bottom of the MEMS sensor array 8, and the operating temperature of the MEMS sensor array 8 is adjusted by the temperature control module of the main control circuit board 9; the gas chromatography column 6 is used to separate volatile flavor substances in tobacco leaves.

[0109] like Figure 2 As shown, the main control circuit board controls the connection of ports 2 and 3 of the six-way valve, ports 1 and 6, and ports 4 and 5. The carrier gas bottle 3 transfers the volatile aroma of the cigarette adsorbed in the adsorption device 2 into port 5 of the six-way valve 5. The volatile aroma then exits from port 4 of the six-way valve 5 and enters the gas chromatography column 6. After separation in the gas chromatography column 6, the aroma enters the sensor chamber 7. A MEMS sensor array 8 detects the volatile aroma, temperature, and humidity of the cigarette, and generates a detection spectrum through the sampling module of the main control circuit board 9. The MEMS sensor array 8 is placed in the sensor chamber 7. The MEMS sensors are coated with a sensitive material that detects volatile aroma substances in tobacco leaves and are arranged in a certain number of groups. The circuit of the main control circuit board 9 is connected to the MEMS sensor array 8.

[0110] Specifically, the method for realizing gas-liquid-solid three-phase separation using the above-mentioned device may include the following steps:Figure 1 The idle running mode and sampling mode shown are as follows: after the system gas circuit is connected, adjust the flow meter 11 and the proportional control valve 4, connect port 1 to port 2, port 3 to port 4, and port 5 to port 6 of the six-way valve 5; then the main control circuit board 9 turns on the temperature control module to control the temperature of the MEMS sensor array 8, the sampling module to collect data from the sensor array, the MCU module, and the sampling pump 10; turn on the carrier gas bottle 3, and wait for the system to run idle for a period of time to remove impurities in the adsorption device 2, the pipeline and the gas chromatography column 6, and to stabilize the response curve of the MEMS sensor array 8. Figure 1 After the dry run, the sampling mode is turned on, and the cigarette sample is placed in the pipe to start collecting the tobacco aroma. Under the action of the sampling pump 10, a negative pressure is formed in the pipeline, and the volatile aroma of the tobacco leaves flows along the pipeline from port 1 to port 2 of the six-way valve 5 and then enters the adsorption device. After the volatile aroma of the tobacco leaves is collected for a period of time, the system suspends the sampling mode and enters the detection mode.

[0111] like Figure 2 The detection mode shown: after the sampling mode ends, the main control circuit board 9 controls the connection between port 2 and port 3 of the six-way valve 5, port 1 and port 6, and port 4 and port 5; then the carrier gas bottle 3 loads the volatile aroma of the tobacco leaves adsorbed in the adsorption device 2 into port 5 of the six-way valve 5, and then comes out from port 4 of the six-way valve 5 and enters the gas chromatography column 6. After separation in the gas chromatography column 6, it enters the sensor gas chamber 7, and the MEMS sensor array 8 detects the volatile aroma of the tobacco leaves, and generates a detection spectrum through the sampling module of the main control circuit board 9.

[0112] like Figure 2 Sensor data analysis is performed as shown: the main control circuit board 9 controls the sampling pump 10 to shut down, ceasing the extraction of volatile cigarette aroma. The sampling module generates a MEMS sensor array detection curve. Feature values ​​are extracted from the sensor array response curve, including the maximum response value, the sum of the curve's integrated areas, the maximum positive slope, the peak response value, and the response time.

[0113] The maximum response value is the ratio of the difference between the peak response value and the stable value of the MEMS sensor array to the stable value. The specific calculation is:

[0114]

[0115] Where R is the maximum response value of the MEMS sensor, R max is the peak response, R a is the stable value of the response.

[0116] The sum of the integral areas of the curve, T max -T min The time period uses the integral calculation formula, which is as follows:

[0117]

[0118] Wherein, xi represents the i-th point on the integral curve, xi+1 represents the i+1-th point on the integral curve; h is the distance between adjacent points xi and xi+1 on the integral curve; n represents the integral curve is divided into n equal parts, R(xi) and R(xi+1) represent the real-time response values ​​corresponding to the i-th and i+1-th points on the integral curve, respectively;

[0119] MEMS sensor array 8 in T max -T min The maximum positive slope of a time period is calculated as follows:

[0120]

[0121] Where F is the maximum positive slope, and x is the time from the start of response to the peak response;

[0122] The peak response of the MEMS sensor is calculated as follows:

[0123]

[0124] The response time of the MEMS sensor is 90% of the peak response time and the steady-state response time. The specific calculation formula is as follows:

[0125]

[0126] Where T is the response time of a single sensor, T max T is the time corresponding to the peak response of the MEMS sensor. a is the time corresponding to the steady-state value of the MEMS sensor.

[0127] The characteristic values ​​collected by the sensor are preprocessed and normalized; the feature set is randomly divided into a test data set and a training data set; the training data set is trained with a BP neural network to obtain a prediction model; and the test data set is detected with the above model.

[0128] like Figure 4 As shown in the figure, the BP neural network algorithm is used to train the feature data collected by the MEMS sensor array. The algorithm structure is divided into an input layer, a hidden layer, and an output layer; the output layer is used to output the quality prediction results of cigarette samples of different brands (such as brand A, brand B, brand C, etc.).

[0129] like Figure 5As shown in the figure, tobacco leaf characteristic data is collected from the detection system, that is, data is collected based on the gas chromatography-MEMS sensor array. After data preprocessing, the data set is divided into a training set and a test set; the training set is used to train the model (i.e., BP neural network training), and the test set is used to verify whether the training error of the model is qualified. If qualified, the qualified model is used for tobacco leaf quality prediction; if unqualified, the model is retrained; the trained model is finally used for tobacco leaf quality prediction.

[0130] In this embodiment, a tobacco leaf quality detection system based on a MEMS sensor array and gas chromatography is constructed using a gas chromatography column and a MEMS sensor array, which are used for separation and detection of cigarette flavor substances, respectively. A temperature control module is used to control the temperature of the MEMS sensor array to facilitate the adsorption and desorption of volatile flavor substances in cigarettes. A MEMS sensor array-type chip chromatography system is constructed, which greatly improves the efficiency of detecting volatile flavor substances in cigarettes and promotes the application value of the detection system in tobacco leaf quality detection.

[0131] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0132] Based on the same inventive concept, embodiments of the present application also provide a cigarette sample testing device for implementing the aforementioned cigarette sample testing method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more cigarette sample testing device embodiments provided below can be found in the above-described limitations of the cigarette sample testing method and will not be further elaborated here.

[0133] In one embodiment, Figure 6 As shown, a cigarette sample detection device 900 is provided, comprising: a sampling module 901, a detection module 902 and a result acquisition module 903, wherein:

[0134] The sampling module 901 is used to control the connection between the first port and the second port of the six-way valve, the connection between the fifth port and the sixth port of the six-way valve, and the start-up of the sampling pump when the detection device is in the sampling mode, so that the adsorption device adsorbs the volatile gases of the cigarette sample under negative pressure.

[0135] The detection module 902 is used to control the second port and the third port of the six-way valve to be connected, the fourth port and the fifth port of the six-way valve to be connected, and the switch valve to be opened when the detection device ends the sampling mode and enters the detection mode.

[0136] The result acquisition module 903 is used to acquire the volatile gas components and concentrations, temperature and humidity of the cigarette detected by the sensor array, thereby obtaining the detection results of the cigarette sample.

[0137] In one embodiment, the cigarette sample detection device 900 further includes a flow control module for obtaining gas flow data of a sampling pump detected by a flow meter; the flow meter is connected to the sampling pump; and according to the gas flow data, the power of the sampling pump is adjusted to adjust the gas flow through the adsorption device.

[0138] In one embodiment, the above-mentioned cigarette sample detection device 900 also includes a feature value extraction module for generating a MEMS sensor array detection curve based on the detection results; extracting feature values ​​from the MEMS sensor array detection curve; the feature values ​​include the maximum response value, the sum of the curve integral area, the maximum positive slope, the response peak value and the response time.

[0139] Each module in the aforementioned cigarette sample testing device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor within a computer device in hardware form, or stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0140] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, memory, and a network interface connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When executed by the processor, the computer program implements a cigarette sample testing method.

[0141] Those skilled in the art will understand thatFigure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0142] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0143] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0144] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0145] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic devices based on quantum computing, and the like.

[0146] Throughout this specification, references to terms such as "some embodiments," "other embodiments," and "desired embodiments" indicate that a particular feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. Although these terms are used interchangeably throughout this specification, they do not necessarily refer to the same embodiment or example.

[0147] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0148] The above-described embodiments are merely illustrative of several embodiments of the present application, which are described in more detail and in a specific manner, but should not be construed as limiting the scope of the patent. It should be noted that for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A cigarette sample detection device, characterized in that: It includes an injection pipeline, an adsorption device, a carrier gas bottle, a switch valve, a six-way valve, a gas chromatography column, a sensor chamber, a MEMS sensor array, a main control circuit board and a sampling pump, among which: The sample injection line is connected to the first port of the six-way valve, the air inlet of the sample injection line is used to place the cigarette sample, the input end of the adsorption device is connected to the second port of the six-way valve, the carrier gas bottle is connected to the third port of the six-way valve via a switch valve, the air inlet of the gas chromatography column is connected to the fourth port of the six-way valve, the air outlet of the gas chromatography column is connected to the air inlet of the sensor gas chamber, the output end of the adsorption device is connected to the fifth port of the six-way valve, and the sampling pump is connected to the sixth port of the six-way valve; When the detection device is in a sampling mode, the main control circuit board controls the first port and the second port of the six-way valve to be connected, the fifth port and the sixth port to be connected, and controls the sampling pump to start, so that the adsorption device adsorbs the cigarette volatile gas of the cigarette sample entering from the sampling line through the six-way valve under negative pressure; When the detection device ends the sampling mode and enters the detection mode, the main control circuit board controls the second port of the six-way valve to be connected to the third port, the fourth port to be connected to the fifth port, and controls the switch valve to be opened, so that the volatile gas from the cigarette in the adsorption device is carried into the gas chromatography column and the sensor gas chamber through the six-way valve under the action of the carrier gas bottle; Among them, the MEMS sensor array is arranged in the sensor air chamber, and the MEMS sensor array is used to detect the volatile gas components and concentration, temperature and humidity of the cigarette, and transmit the detection data to the main control circuit board. The main control circuit board is also used to obtain the detection results of the cigarette sample based on the detection data.

2. The detection device according to claim 1, characterized in that The detection device further includes a flow meter connected to the sampling pump, and the flow meter is used to detect the gas flow data of the sampling pump and transmit the data to the main control circuit board; The main control circuit board is further used to adjust the power of the sampling pump according to the gas flow data to adjust the gas flow passing through the adsorption device.

3. The detection device according to claim 1, characterized in that The MEMS sensor array is obtained by arranging a plurality of MEMS sensors in combination, wherein some of the MEMS sensors are coated with a sensitive material, which is a mixture of an adsorption material and a sensitive membrane material; the sensitive membrane material includes a conductive polymer material, a precious metal material, and a metal oxide material; the sensitive material is used to adsorb and sensitize the volatile gases in the cigarette; the other MEMS sensors serve as temperature sensors and humidity sensors respectively.

4. The detection device according to claim 1, characterized in that The sensor air chamber further includes an air outlet. The air outlet of the sensor air chamber and the air inlet of the sensor air chamber form an air path. The air path allows the gas entering the sensor air chamber to fully contact the MEMS sensor array.

5. The detection device according to claim 4, characterized in that The switch valve is a proportional control valve; The main control circuit board is also used to control the gas circuit pressure of the sensor gas chamber through the proportional control valve.

6. The detection device according to claim 1, characterized in that The main control circuit board includes an MCU module, a temperature control module and a sampling module, wherein: The MCU module is used to control the circuit of the detection device; The temperature control module is used to control the temperature of the MEMS sensor array; The sampling module is used to collect detection data detected by the MEMS sensor array.

7. A cigarette sample detection method, characterized in that: When applied to a main control circuit board, and the main control circuit board is applied to the detection device according to any one of claims 1 to 6, the method includes: When the detection device is in a sampling mode, controlling the first port and the second port of the six-way valve to be connected, the fifth port and the sixth port of the six-way valve to be connected, and controlling the sampling pump to start, so that the adsorption device adsorbs the cigarette volatile gas from the cigarette sample under negative pressure; When the detection device ends the sampling mode and enters the detection mode, controlling the second port of the six-way valve to be connected to the third port, controlling the fourth port of the six-way valve to be connected to the fifth port, and controlling the switch valve to be opened; The volatile gas components and concentrations, temperature and humidity of the cigarette detected by the sensor array are obtained, thereby obtaining the detection results of the cigarette sample.

8. The detection method according to claim 7, characterized in that The method further comprises: Acquiring gas flow data of a sampling pump detected by a flow meter; the flow meter is connected to the sampling pump; According to the gas flow data, the power of the sampling pump is adjusted to adjust the gas flow passing through the adsorption device.

9. The detection method according to claim 7, characterized in that The method further comprises: generating a MEMS sensor array detection curve according to the detection results; Extract characteristic values ​​from the MEMS sensor array detection curve; the characteristic values ​​include the maximum response value, the sum of the curve integral area, the maximum positive slope, the response peak value and the response time.

10. The detection method according to claim 9, characterized in that: The extracting characteristic values ​​from the MEMS sensor array detection curve includes: Obtaining the maximum response value according to a ratio of a difference between a response peak value and a stable value of a single MEMS sensor to the stable value; The calculation formula for the sum of the integral areas of the curve is as follows: Among them, x i represents the i-th point on the integral curve, x i+1 represents the i+1th point on the integral curve; h is the adjacent point x on the integral curve i and x i+1 The distance between them; n means that the integral curve is divided into n parts, R(x i ) and R(x i+1 ) represent the real-time response values ​​corresponding to the i-th and i+1-th points on the integral curve respectively; The calculation formula of the maximum positive slope is as follows: Where F is the maximum positive slope, and x is the time from the start of response to the peak response; The calculation formula of the response peak is as follows: The response time is calculated as follows: Where T is the response time of a single sensor, T max T is the time corresponding to the peak response of the MEMS sensor. a is the time corresponding to the steady-state value of the MEMS sensor.

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