Cigarette tobacco shred liquid adding online detection method and equipment

Abstract

The invention discloses an on-line detection method and equipment for a liquid flavor raw material liquid adding effect in a cigarette tobacco shred processing process, and belongs to the field of material detection. The online detection method is characterized in that the mixing degree of the additive liquid and the tobacco shreds is monitored by monitoring the exhaust port of the mixing tank. The equipment product is characterized in that a high-temperature gas Raman spectrum detection device is adopted, on the basis that on-line processing of tobacco shreds is not affected, the adding uniformity degree of liquid feed liquid can be detected on line, the equipment integration degree is high, and on-line installation and detection are facilitated.

Description

Technical Field

[0001] The present invention relates to the field of material detection, and in particular to an online detection method and device for the effect of adding liquid flavor raw material liquid in the process of cigarette tobacco processing. The method and device can detect the uniformity of liquid liquid addition online without affecting the online processing of tobacco. The device has high integration and is easy to install and detect online. Background Art

[0002] Liquid feed liquid (flavor raw material) needs to be added during the processing of cigarette tobacco. The role of adding liquid flavor raw material liquid is to reduce irritation, improve aftertaste, make smoke soft and delicate, and improve tobacco's physical properties such as moisture retention, flexibility, combustibility and mildew resistance. However, there is currently no effective online detection method for the effective adsorption of liquid by tobacco during the liquid addition process, and the loss of liquid cannot be monitored online.

[0003] Gas chromatography is a fast, simple, relatively cheap and reproducible analytical method that can analyze components in various matrices, such as petroleum and petrochemical products, environmental pollutants, drugs, foods, etc. Moreover, due to the inherent high separation efficiency of gas chromatography and the ability to be connected to various sensitive and selective detectors, gas chromatographs equipped with various detectors have become an indispensable tool for component identification and analysis in various fields. However, it is not easy to achieve online detection of tobacco shreds using gas chromatography technology. Judging from the current detection of the effect of adding liquid in the process of tobacco shreds processing at home and abroad, some other detection technologies, like gas chromatography technology, are not easy to achieve online detection. Summary of the invention

[0004] There is currently no effective online detection method for the effective adsorption of liquid by tobacco shreds, and the loss of liquid cannot be monitored online. The technical problem that the present invention intends to solve is to provide an online detection method and equipment for the effect of adding liquid during the processing of cigarette tobacco shreds.

[0005] Aiming at the problem of the degree of mixing between tobacco liquid additive and tobacco, the present invention utilizes high-temperature Raman spectroscopy detection technology to develop online high-temperature gas Raman spectroscopy detection technology, measures the gas components and aerosol particle content at the exhaust port, determines the type and concentration information of substances emitted during the mixing process of tobacco and liquid additive, combines the advantages of optical online detection, impurity control and removal, artificial intelligence, etc., to carry out online monitoring of the type and concentration of substances at the exhaust port, and monitors the mixing level of the additive and tobacco.

[0006] The method and device for online detection of the effect of adding liquid flavor additives during cigarette tobacco processing according to the present invention are as follows: The online detection method is as follows Figure 1As shown, by monitoring the exhaust port of the mixing tank for shredded tobacco and liquid flavor material additives, online monitoring of the type and concentration of substances at the exhaust port is carried out to monitor the degree of mixing of the flavor material additive liquid and shredded tobacco.

[0007] The device for online detection of the effect of adding flavor additive liquid described in the present invention is a high-temperature gas Raman spectrum detection device, which consists of a gas pretreatment system at the gas exhaust port of a mixing tank, a high-temperature gas Raman spectrum detection system and a mixing feedback adjustment system, which are integrated into a set of devices.

[0008] (1) Gas pretreatment system. It consists of modules such as sample gas pipeline, gas impurity filter, gas flow monitor, gas temperature and pressure monitor, etc. The system performs dust removal and other treatments on the sample gas, monitors the flow, temperature and pressure of the sample gas, and ensures that the object being tested is in a gasified state.

[0009] (2) High-temperature gas Raman spectroscopy detection system. It includes a gas measurement chamber and a high-temperature gas Raman spectroscopy detection module. The high-temperature Raman detection technology performs spectral measurement in the measurement chamber. The module consists of a high-temperature Raman probe, a laser source, a spectroscopic optical path system, a photodetector, a signal processing circuit, etc. The spectral range is 200-3900cm -1 , excitation wavelength 514-830nm, high temperature Raman probe adopts temperature resistant design, which can directly measure high temperature gas.

[0010] (3) Mixing feedback adjustment system. It uses artificial intelligence to accurately control digitalization, instantly displays online detection results, analyzes the current combination state between flavor ingredients and tobacco from complex and changing Raman spectral data, and intelligently adjusts the mixing process. Beneficial Effects

[0011] The present invention solves the problem of an online detection method and device for the effect of adding liquid slurry of flavor raw materials during the processing of tobacco shreds, and can detect the uniformity of adding liquid slurry online without affecting the online processing of tobacco shreds. The device has high integration and is easy to install and detect online.

[0012] The present invention uses high-temperature gas Raman spectroscopy online monitoring technology as a means, and based on the concentration information of material components, establishes a flavor raw material mixing degree-spectral data analysis system, which can analyze the correlation between the mixing degree of tobacco and liquid material and the spectral data, and analyze the influence of flavor raw material components and mixing process on the mixing degree. In an online measurement manner, the mixing degree generation process under different process and raw material conditions is clarified, a mixing degree database under different process and raw material ratios is established, and the process technology and raw material ratio are optimized to provide information support to ensure that the flavor raw material addition process meets production needs.

[0013] According to the changes in the composition and content of the material at the discharge port, the invention establishes a correlation model between the product, the material and the process flow, infers the operating state of the flavor raw material liquid and tobacco shred mixing process, and monitors the stability of the mixing process.

[0014] Based on the research on the mixing mechanism of flavor raw materials, the mixing feedback adjustment system of the present invention combines a deep learning model to provide mixing process feedback, analyzes the current combination state between flavor raw materials and tobacco from complex and changing Raman spectral data, and intelligently adjusts the mixing process flow.

[0015] The online detection method and device of the present invention can detect the uniformity of liquid addition online without affecting the online processing of tobacco shreds. The device has high integration and is convenient for online installation and detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The figure is a schematic diagram of an online monitoring device for cigarette tobacco flavoring. DETAILED DESCRIPTION

[0017] The following examples may enable those skilled in the art to more fully understand the present invention, but are not intended to limit the present invention in any way. Example 1

[0018] The device for online detection of the effect of adding flavor additive liquid described in the present invention is a high-temperature gas Raman spectrum detection device, which consists of a gas pretreatment system at the gas exhaust port of a mixing tank, a high-temperature gas Raman spectrum detection system and a mixing feedback adjustment system.

[0019] (1) Gas pretreatment system. It consists of modules such as sample gas pipeline, gas impurity filter, gas flow monitor, gas temperature and pressure monitor, etc. The system performs dust removal and other treatments on the sample gas, monitors the flow, temperature and pressure of the sample gas, and ensures that the object being tested is in a gasified state.

[0020] (2) High-temperature gas Raman spectroscopy detection system. It includes a gas measurement chamber and a high-temperature gas Raman spectroscopy detection module. The high-temperature Raman detection technology performs spectral measurement in the measurement chamber. The module consists of a high-temperature Raman probe, a laser source, a spectroscopic optical path system, a photodetector, a signal processing circuit, etc. The spectral range is 250-3900cm -1 The excitation wavelength is 532nm. The high-temperature Raman probe adopts high-temperature alloy, sapphire optical discrete components, micro-nitrogen atmosphere protection and other temperature-resistant designs, which can directly measure high-temperature gases.

[0021] (3) Mixing feedback adjustment system. It uses artificial intelligence to accurately control digitalization, instantly displays online detection results, analyzes the current combination state between flavor ingredients and tobacco from complex and changing Raman spectral data, and intelligently adjusts the mixing process. Example 2

[0022] The device for online detection of the effect of adding flavor additive liquid described in the present invention is a high-temperature gas Raman spectrum detection device, which consists of a gas pretreatment system at the gas exhaust port of a mixing tank, a high-temperature gas Raman spectrum detection system and a mixing feedback adjustment system.

[0023] (1) Gas pretreatment system. It consists of modules such as sample gas pipeline, gas impurity filter, gas flow monitor, gas temperature and pressure monitor, etc. The system performs dust removal and other treatments on the sample gas, monitors the flow, temperature and pressure of the sample gas, and ensures that the object being tested is in a gasified state.

[0024] (2) High-temperature gas Raman spectroscopy detection system. It includes a gas measurement chamber and a high-temperature gas Raman spectroscopy detection module. The high-temperature Raman detection technology performs spectral measurement in the measurement chamber. The module consists of a high-temperature Raman probe, a laser source, a spectroscopic optical path system, a photodetector, a signal processing circuit, etc. The spectral range is 200-3000cm -1 The excitation wavelength is 632nm. The high-temperature Raman probe adopts anodized aluminum, sapphire optical discrete components, micro-nitrogen atmosphere protection and other temperature-resistant designs, which can directly measure high-temperature gases.

[0025] (3) Mixing feedback adjustment system. It uses artificial intelligence to accurately control digitalization, instantly displays online detection results, analyzes the current combination state between flavor ingredients and tobacco from complex and changing Raman spectral data, and intelligently adjusts the mixing process. Example 3

[0026] The device for online detection of the effect of adding flavor additive liquid described in the present invention is a high-temperature gas Raman spectrum detection device, which consists of a gas pretreatment system at the gas exhaust port of a mixing tank, a high-temperature gas Raman spectrum detection system and a mixing feedback adjustment system.

[0027] (1) Gas pretreatment system. It consists of modules such as sample gas pipeline, gas impurity filter, gas flow monitor, gas temperature and pressure monitor, etc. The system performs dust removal and other treatments on the sample gas, monitors the flow, temperature and pressure of the sample gas, and ensures that the object being tested is in a gasified state.

[0028] (2) High-temperature gas Raman spectroscopy detection system. It includes a gas measurement chamber and a high-temperature gas Raman spectroscopy detection module. The high-temperature Raman detection technology performs spectral measurement in the measurement chamber. The module consists of a high-temperature Raman probe, a laser source, a spectroscopic optical path system, a photodetector, a signal processing circuit, etc. The spectral range is 1500-3000cm -1, excitation wavelength 785nm, high temperature Raman probe adopts stainless steel cylindrical, sapphire optical discrete components, micro nitrogen atmosphere protection and other temperature-resistant designs, which can directly measure high temperature gas.

[0029] (3) Mixing feedback adjustment system. It uses artificial intelligence to accurately control digitalization, instantly displays online detection results, analyzes the current combination state between flavor ingredients and tobacco from complex and changing Raman spectral data, and intelligently adjusts the mixing process.

Claims

1. A method for online detection of liquid addition in cigarette shredded tobacco, characterized in that: The following steps are involved: a) During the processing of cigarette tobacco, the gas at the exhaust port of the mixing tank is monitored online; b) The type and concentration of substances in the exhaust port gas are measured using high-temperature gas Raman spectroscopy detection technology; c) Based on the measured type and concentration information of substances, the degree of mixing of liquid flavor raw material liquid and tobacco is analyzed; d) Through the mixing feedback control system, the mixing process flow is intelligently adjusted according to the analysis results.

2. The method according to claim 1, wherein the spectral range of the high temperature gas Raman spectroscopy detection technology is 200-3900 cm-1, and the excitation wavelength is 514-830 nm.

3. The method according to claim 1 or 2, wherein the gas pre-treatment system comprises a sample gas pipeline, a gas impurity filter, a gas flow monitor, and a gas temperature and pressure monitor.

4. The method according to claim 1 or 2, wherein the high-temperature gas Raman spectrum detection system comprises a gas measurement chamber and a high-temperature gas Raman spectrum detection module, and the detection module comprises a high-temperature Raman probe, a laser source, a spectroscopic optical path system, a photodetector, and a signal processing circuit.

5. The method according to claim 1 or 2, wherein the mixing feedback adjustment system adopts artificial intelligence digital precise control, can instantly display the online detection results, and analyze the combination state of flavor raw materials and tobacco from Raman spectrum data.

6. The method according to any one of claims 1 to 5, wherein the high temperature Raman probe is designed to be temperature resistant and suitable for direct measurement of high temperature gas.

7. The device according to any one of claims 1 to 5, characterized in that include: a) gas pretreatment system; b) high temperature gas Raman spectroscopy detection system; c) mixing feedback adjustment system; wherein the gas pretreatment system, high temperature gas Raman spectroscopy detection system and mixing feedback adjustment system are configured according to the methods described in claims 1 to 6.

8. The device according to claim 6, wherein the spectral range of the high temperature gas Raman spectroscopy detection system is 200-3900 cm-1, and the excitation wavelength is 514-830 nm.

9. The device according to any one of claims 1 to 5, which consists of three parts: a gas pre-treatment system for the gas exhaust port of the mixing tank, a high-temperature gas Raman spectrum detection system, and a mixing feedback adjustment system; (1) Gas pretreatment system: It consists of modules such as sample gas pipeline, gas impurity filter, gas flow monitor, gas temperature and pressure monitor, etc. The system removes dust from the sample gas, monitors the flow, temperature and pressure of the sample gas, and ensures that the object being tested is in a gasified state. (2) High-temperature gas Raman spectroscopy detection system; including a gas measurement chamber and a high-temperature gas Raman spectroscopy detection module; the high-temperature Raman detection technology performs spectral measurement in the measurement chamber, and the module is composed of a high-temperature Raman probe, a laser source, a spectroscopic optical path system, a photodetector, a signal processing circuit, etc.; wherein, The spectral range is 250-3900cm-1, the excitation wavelength is 532nm, and the high-temperature Raman probe adopts high-temperature alloy, sapphire optical discrete components, micro-nitrogen atmosphere protection and other temperature-resistant designs, which can directly measure high-temperature gases; (3) Mixing feedback adjustment system: It uses artificial intelligence to achieve precise digital control, instantly displays online detection results, analyzes the current combination status between flavor ingredients and tobacco from complex and changing Raman spectral data, and intelligently adjusts the mixing process.

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