Quality detection system and method for online cigarette filter rod material

Abstract

The invention discloses a quality detection system and method for an online cigarette filter rod material, and the system comprises an MCU which carries out the collection of an analog signal, and receives a photoelectric sensor signal triggered by the movement of the material; the microwave resonant cavity is customized according to materials and resonant frequency; the microwave power amplifier is used for amplifying the microwave signal and transmitting the amplified microwave signal to the microwave resonant cavity; the detector is used for converting a disturbance signal of the microwave resonant cavity into a voltage signal; the operational amplifier is used for receiving a voltage signal of the detector and amplifying the signal; according to the invention, the blasting bead quality inspection controller is embedded in the air-conveying filter tip receiver, the quality inspection problem of the blasting bead filter tip in the production process is solved, and based on the advantages of the microwave density detection method, the method can be suitable for high-speed detection, the data volume is a one-dimensional time sequence signal, the illumination requirement is avoided, the microwave signal can be transmitted through a coaxial cable, the deployment size is small, and the cost is low. The defects of an existing structure in use are overcome.

Description

Technical Field

[0001] The invention belongs to the technical field of cigarette filter detection, and in particular relates to an online cigarette filter rod material quality detection system and method. Background Art

[0002] Cigarettes are products made of a variety of materials, the main parts of which are tobacco / cigarette paper / filters and cigarette connecting materials / filters. With the development of products, filter rod materials with various flavors are applied to cigarette products. Then comes the production demand for quality inspection of filter rod materials, because quality defects such as missing beads / excessive phase deviation of beads / excessive beads will seriously affect the quality of the product.

[0003] At present, the detection principle of popping beads in filter rods is mainly image recognition detection, and the main method of image detection is to illuminate the filter rod material with backlight. Due to the different transmittances of the base material and the popping bead material, the image outline of the popping bead is formed, which is collected by the camera and calculated to distinguish qualified and unqualified products.

[0004] The above method is difficult to achieve high-speed detection due to the requirements for light source, computing speed / image acquisition, and has high environmental requirements, and cannot be deployed on high-speed production lines. The impact of environmental dust on the lens, the size of the space required for deployment, and the computing speed all make this method unsuitable for online detection. It is generally used for offline sampling and auxiliary manual detection, and cannot adapt to the field of mechanized production. Summary of the invention

[0005] The object of the present invention is to provide an online cigarette filter rod material quality inspection system and method to solve the problems of low inspection efficiency and inaccurate inspection structure in the existing filter rod inspection mentioned in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: an online cigarette filter rod material quality detection system, comprising:

[0007] MCU, performs analog signal acquisition and receives photoelectric sensor signals triggered by material movement;

[0008] Microwave resonant cavity, customized according to the material and resonant frequency;

[0009] A microwave power amplifier is used to amplify the microwave signal and transmit the amplified microwave signal to the microwave resonant cavity;

[0010] The detector converts the disturbance signal of the microwave resonant cavity into a voltage signal;

[0011] An operational amplifier, used for receiving the voltage signal from the detector and amplifying the signal;

[0012] A programmable microwave generating module, having a variable output frequency and power, the programmable microwave generating module is connected to the MCU, and the MCU controls the generation frequency and power of the microwave signal, and the programmable microwave generating module transmits the microwave signal to the microwave power amplifier;

[0013] The photoelectric sensor signal input tube isolation module is used to isolate and step down the 24V signal of the photoelectric sensor to 3.3V and input it to the MCU;

[0014] The solenoid valve signal output isolation module is used to amplify the 3.3V kick-out signal given by the MCU to 24V and output it to the solenoid valve through the solenoid valve signal output isolation module; and

[0015] The network communication module is connected to the MCU and provides data exchange between the MCU and the host computer.

[0016] As a preferred technical solution in the present invention, the microwave resonant cavity includes a microwave resonant sensor, and a microwave transmitting module and a microwave receiving module connected to the input and output ends of the microwave resonant sensor. The microwave resonant sensor is annular as a whole, and the filter rod passes through the inside of the annular microwave resonant sensor.

[0017] As a preferred technical solution in the present invention, the microwave resonant sensor is connected to a photoelectric sensor.

[0018] As a preferred technical solution in the present invention, the solenoid valve signal output isolation module includes a solenoid valve connected to the MCU, and receives the rejection signal of the unqualified filter rod output by the MCU. The solenoid valve is connected to a high-pressure gas cylinder for outputting gas to achieve the rejection of the unqualified filter rod.

[0019] The present invention also discloses an online cigarette filter rod material quality detection method, including a quality detection system, and the specific steps are as follows:

[0020] Step 1: When the filter rod material enters the microwave sensor from the air delivery duct, the photoelectric sensor signal is triggered and the controller starts sampling;

[0021] Step 2: When the filter rod material leaves the microwave sensor, the photoelectric sensor signal is triggered and the controller stops signal sampling;

[0022] Step 3: Perform peak detection on the collected signal;

[0023] Step 4: Calculate the relative position, peak width, and height of the peak;

[0024] Step 5: Learning the signal characteristics of qualified filter rods and storing the signal characteristics;

[0025] Step 6: During production, the signal of each filter rod material is collected and the characteristic difference is calculated;

[0026] Step 7: Classify the signal, and generate a rejection signal for unqualified products;

[0027] Step 8: For different receivers, adjust the delay time and holding time of the signal, output the signal to the blowing device, blow away the unqualified materials, and prevent them from entering the hopper of the production equipment.

[0028] As a preferred technical solution of the present invention, in step 5, the characteristic values ​​{A1, B1, A2, B2, A3, B3, A4, B4} of the filter material are calculated, where A is the peak value and B is the position. 10 sample data are collected from qualified filter rods, and the data vectors are averaged, that is:

[0029] a1={A1_1+A1_2+……A1_10} / 10;

[0030] …

[0031] b4={B4_1+B4_2…+B4_10} / 10; this is used as the judgment standard.

[0032] As a preferred technical solution of the present invention, in step 6, the calculation method is as follows:

[0033] Distance calculation between {A1,B1,A2,B2,A3,B3,A4,B4} and {a1,b1,a2,b2,a3,b3,a4,b4}:

[0034] Distance^2=(a1-A1)^2+(a2-A2)^2+(a3-A3)^2

[0035] +(a4-A4)^2

[0036] +(b1-B1)^2

[0037] +(b2-B2)^2

[0038] +(b3-B3)^2

[0039] +(b4-B4)^2.

[0040] As a preferred technical solution in the present invention, in step seven, the signal classification rule is that when the distance is greater than the threshold set by the software, it is judged as unqualified, and when the distance is less than or equal to the threshold, it is judged as qualified.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] In the present invention, the bursting bead quality inspection controller is embedded in the air-conveying filter rod receiver to solve the quality inspection problem of the bursting bead filter rod in the production process. The present invention is based on the advantages of the microwave density detection method and can be applied to high-speed detection. The data volume is a one-dimensional time series signal and there is no illumination requirement. The microwave signal can be transmitted through a coaxial cable and has a small deployment volume, thereby improving the shortcomings of the existing structure in use. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a system diagram of the present invention;

[0044] Figure 2 It is a schematic diagram of the process of the present invention in the detection of filter rods;

[0045] Figure 3 It is a schematic diagram of the steps of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] See also Figures 1 to 3 The present invention provides a technical solution: an online cigarette filter rod material quality detection system, comprising

[0048] MCU, performs analog signal acquisition and receives photoelectric sensor signals triggered by material movement;

[0049] Microwave resonant cavity, customized according to the material and resonant frequency;

[0050] A microwave power amplifier is used to amplify the microwave signal and transmit the amplified microwave signal to the microwave resonant cavity;

[0051] The detector converts the disturbance signal of the microwave resonant cavity into a voltage signal;

[0052] An operational amplifier, used for receiving the voltage signal from the detector and amplifying the signal;

[0053] A programmable microwave generating module, having a variable output frequency and power, the programmable microwave generating module is connected to the MCU, and the MCU controls the generation frequency and power of the microwave signal, and the programmable microwave generating module transmits the microwave signal to the microwave power amplifier;

[0054] The photoelectric sensor signal input tube isolation module is used to isolate and step down the 24V signal of the photoelectric sensor to 3.3V and input it to the MCU;

[0055] The solenoid valve signal output isolation module is used to amplify the 3.3V kick-out signal given by the MCU to 24V and output it to the solenoid valve through the solenoid valve signal output isolation module; and

[0056] The network communication module is connected to the MCU and provides data exchange between the MCU and the host computer.

[0057] In this embodiment, the microwave resonant cavity includes a microwave resonant sensor, and a microwave transmitting module and a microwave receiving module connected to the input and output ends of the microwave resonant sensor. The microwave resonant sensor is annular as a whole, and the filter rod passes through the inside of the annular microwave resonant sensor.

[0058] In this embodiment, the microwave resonance sensor is connected to the photoelectric sensor.

[0059] In this embodiment, the solenoid valve signal output isolation module includes a solenoid valve connected to the MCU, and receives the rejection signal for unqualified filter rods output by the MCU. The solenoid valve is connected to a high-pressure gas cylinder for outputting gas to achieve the rejection of unqualified filter rods.

[0060] The present invention also discloses an online cigarette filter rod material quality detection method, including a quality detection system, and the specific steps are as follows:

[0061] Step 1: When the filter rod material enters the microwave sensor from the air delivery duct, the photoelectric sensor signal is triggered and the controller starts sampling;

[0062] Step 2: When the filter rod material leaves the microwave sensor, the photoelectric sensor signal is triggered and the controller stops signal sampling;

[0063] Step 3: Perform peak detection on the collected signal, because the voltage value of the signal is higher in places with high density;

[0064] Step 4: Calculate the relative position, peak width, and height of the peak. Specifically, set the search window through the software, use each sampling point as the step length, search for the position / peak value / of the peak, and record it.

[0065] Step 5: Learning the signal characteristics of qualified filter rods and storing the signal characteristics;

[0066] Step 6: During production, the signal of each filter rod material is collected and the characteristic difference is calculated;

[0067] Step 7: Classify the signal, and generate a rejection signal for unqualified products;

[0068] Step 8: For different receivers, adjust the delay time and holding time of the signal, output the signal to the blowing device, blow away the unqualified materials, and prevent them from entering the hopper of the production equipment.

[0069] In this embodiment, in step 5, for example, for a four-bead filter material, eight eigenvalues ​​{A1, B1, A2, B2, A3, B3, A4, B4} are calculated, where A is the peak value and B is the position. Ten sample data are collected from a qualified filter rod, and the data vector is averaged, that is:

[0070] a1={A1_1+A1_2+……A1_10} / 10;

[0071] …

[0072] b4={B4_1+B4_2…+B4_10} / 10; this is used as the judgment standard.

[0073] In this embodiment, in step six, the calculation method is as follows:

[0074] Distance calculation between {A1,B1,A2,B2,A3,B3,A4,B4} and {a1,b1,a2,b2,a3,b3,a4,b4}:

[0075] Distance^2=(a1-A1)^2+(a2-A2)^2+(a3-A3)^2

[0076] +(a4-A4)^2

[0077] +(b1-B1)^2

[0078] +(b2-B2)^2

[0079] +(b3-B3)^2

[0080] +(b4-B4)^2.

[0081] In this embodiment, in step seven, the signal classification rule is that when the distance is greater than the threshold set by the software, it is judged as unqualified, and when the distance is less than or equal to the threshold, it is judged as qualified.

[0082] Although embodiments of the present invention have been shown and described (see the above detailed description for details), it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An online cigarette filter rod material quality inspection system, characterized by: include MCU, performs analog signal acquisition and receives photoelectric sensor signals triggered by material movement; Microwave resonant cavity, customized according to the material and resonant frequency; A microwave power amplifier is used to amplify the microwave signal and transmit the amplified microwave signal to the microwave resonant cavity; The detector converts the disturbance signal of the microwave resonant cavity into a voltage signal; An operational amplifier, used for receiving the voltage signal from the detector and amplifying the signal; A programmable microwave generating module, having a variable output frequency and power, the programmable microwave generating module is connected to the MCU, and the MCU controls the generation frequency and power of the microwave signal, and the programmable microwave generating module transmits the microwave signal to the microwave power amplifier; Photoelectric sensor signal input tube isolation module, used to isolate and step down the 24V signal of the photoelectric sensor to 3.3V and input it to the MCU; The solenoid valve signal output isolation module is used to amplify the 3.3V kick-out signal given by the MCU to 24V and output it to the solenoid valve through the solenoid valve signal output isolation module; and The network communication module is connected to the MCU and provides data exchange between the MCU and the host computer.

2. The online cigarette filter rod material quality inspection system according to claim 1, characterized in that: The microwave resonant cavity comprises a microwave resonant sensor, and a microwave transmitting module and a microwave receiving module connected to the input and output ends of the microwave resonant sensor. The microwave resonant sensor is annular in shape as a whole, and the filter rod passes through the inside of the annular microwave resonant sensor.

3. The online cigarette filter rod material quality inspection system according to claim 2, characterized in that: The microwave resonance sensor is connected to the photoelectric sensor.

4. The online cigarette filter rod material quality inspection system according to claim 1, characterized in that: The solenoid valve signal output isolation module includes a solenoid valve connected to the MCU, and receives a rejection signal for unqualified filter rods output by the MCU. The solenoid valve is connected to a high-pressure gas cylinder for outputting gas to realize the rejection of unqualified filter rods.

5. An online cigarette filter rod material quality inspection method, comprising the quality inspection system according to any one of claims 1 to 4, characterized in that: The specific steps are as follows: Step 1: When the filter rod material enters the microwave sensor from the air delivery duct, the photoelectric sensor signal is triggered and the controller starts sampling; Step 2: When the filter rod material leaves the microwave sensor, the photoelectric sensor signal is triggered and the controller stops signal sampling; Step 3: Perform peak detection on the collected signal; Step 4: Calculate the relative position, peak width, and height of the peak; Step 5: Learning the signal characteristics of qualified filter rods and storing the signal characteristics; Step 6: During production, the signal of each filter rod material is collected and the characteristic difference is calculated; Step 7: Classify the signal, and generate a rejection signal for unqualified products; Step 8: For different receivers, adjust the delay time and holding time of the signal, output the signal to the blowing device, blow away the unqualified materials, and prevent them from entering the hopper of the production equipment.

6. The system and method for online quality inspection of cigarette filter rod materials according to claim 5, characterized in that: In step 5, the characteristic values ​​{A1, B1, A2, B2, A3, B3, A4, B4} are calculated for the filter material, where A is the peak value and B is the position. 10 sample data are collected from qualified filter rods, and the data vectors are averaged, that is: a1={A1_1+A1_2+……A1_10} / 10; …… b4={B4_1+B4_2…+B4_10} / 10; this is used as the judgment standard.

7. The system and method for online quality inspection of cigarette filter rod materials according to claim 5, characterized in that: In step six, the calculation method is as follows: Distance calculation between {A1,B1,A2,B2,A3,B3,A4,B4} and {a1,b1,a2,b2,a3,b3,a4,b4}: Distance^2=(a1-A1)^2+(a2-A2)^2+(a3-A3)^2 +(a4-A4)^2 +(b1-B1)^2 +(b2-B2)^2 +(b3-B3)^2 +(b4-B4)^2.

8. The system and method for online quality inspection of cigarette filter rod materials according to claim 5, characterized in that: In step seven, the signal classification rule is that when the distance is greater than a threshold set by the software, it is judged as unqualified, and when the distance is less than or equal to the threshold, it is judged as qualified.

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