Cigarette maker quality control method and coupling system, intelligent coupling control system

Abstract

The present disclosure relates to a tobacco cutter quality control method and coupling system, and an intelligent coupling control system. The tobacco cutter quality control method comprises: the intelligent coupling control system receiving tobacco leaf quality information fed back by a raw material quality monitoring system; the intelligent coupling control system receiving cut tobacco quality information fed back by a cut tobacco quality monitoring system; the intelligent coupling control system receiving component state information fed back by a component state control system; and the intelligent coupling control system performing coupling control of the tobacco cutter quality according to the tobacco leaf quality information, the cut tobacco quality information and the component state information. The present disclosure can perform coupling control of the tobacco cutter quality according to the tobacco leaf quality information, the cut tobacco quality information and the component state information, thereby improving the coupling of the tobacco cutter quality control.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of tobacco equipment, and particularly relates to a tobacco cutter quality control method and coupling system and an intelligent coupling control system. BACKGROUND

[0002] The tobacco cutter is a special equipment with high technical content, very advanced control and extremely precise structure in the tobacco industry. Through the comprehensive operation of the combined components such as the feeding system, the cutting system, the knife door system, the knife grinding system, the pneumatic system and the electric control system, the treated tobacco leaves and stems are cut into cut tobacco and stem tobacco with a width meeting the requirements of the tobacco processing specification.

[0003] For the tobacco cutting process, the quality of the cut tobacco is actually controlled by the comprehensive action of the incoming material quality state, the cut tobacco quality feedback and the equipment component state. However, in the related art tobacco cutting process, the three factors associated with the quality of the cut tobacco are often involved in the tobacco cutting quality control as relatively independent elements. SUMMARY

[0004] The inventor has found that the related art tobacco cutting quality control lacks coupling. The three factors actually associated with the quality of the cut tobacco are in a relatively independent control process, and the comprehensive guarantee of the tobacco cutting quality control is not realized through logical algorithms and coupling association. The tobacco cutting quality adjustment process relies on single source information, which easily leads to inaccurate and imperfect adjustment results.

[0005] In view of at least one of the above technical problems, the present disclosure provides a tobacco cutter quality control method and coupling system and an intelligent coupling control system, which improves the coupling of the tobacco cutting quality control.

[0006] According to another aspect of the present disclosure, a tobacco cutter quality control method is provided, comprising:

[0007] The intelligent coupling control system receives incoming tobacco leaf quality information fed back by an incoming material quality monitoring system;

[0008] The intelligent coupling control system receives cut tobacco quality information fed back by a cut tobacco quality monitoring system;

[0009] The intelligent coupling control system receives component state information fed back by a component state control system;

[0010] The intelligent coupling control system performs coupling control of the quality of the tobacco cutter according to the incoming tobacco leaf quality information, the cut tobacco quality information and the component state information.

[0011] In some embodiments of the present disclosure, the coupling control of the quality of the tobacco cutter comprises:

[0012] performing at least one of process parameter optimization control, equipment parameter optimization control, component state optimization control, coupling quality scoring, coupling quality optimization control, and intelligent cutting control.

[0013] In some embodiments of the present disclosure, the process parameter optimization control comprises process parameter adjustment.

[0014] In some embodiments of the present disclosure, the equipment parameter optimization control comprises equipment parameter adjustment.

[0015] In some embodiments of the present disclosure, the component state optimization control comprises at least one of component state adjustment and maintenance strategy pushing.

[0016] In some embodiments of the present disclosure, the performing component state optimization control comprises:

[0017] The intelligent coupling control system pre-establishes a mapping relationship among incoming material quality, process parameters, equipment parameters, component states, and adjustment methods;

[0018] The intelligent coupling control system queries the mapping relationship among incoming material quality, process parameters, equipment parameters, component states, and adjustment methods according to incoming material tobacco quality information, and determines component state information required for production;

[0019] The intelligent coupling control system determines whether the component state information required for production is consistent with actual component state information fed back by the component state control system.

[0020] In the case where the component state information required for production is inconsistent with the actual component state information, the component state is adjusted by controlling the component state control system.

[0021] In some embodiments of the present disclosure, the adjusting the component state by controlling the component state control system comprises:

[0022] The intelligent coupling control system generates first logic control information for optimizing and adjusting the operating state of a key component of a cutting machine by querying the mapping relationship among incoming material quality, process parameters, equipment parameters, component states, and adjustment methods.

[0023] The intelligent coupling control system sends the first logic control information to the component state control system.

[0024] The component state control system executes the first logic control information through a component state adjustment system.

[0025] In some embodiments of the present disclosure, the component state control system executing the first logic control information through the component state adjustment system comprises:

[0026] The intelligent coupling control system identifies whether the required adjustment mode is within the action range of the component state adjustment system;

[0027] In the case that the required adjustment mode is within the action range of the component state adjustment system, the component state adjustment system performs online optimization adjustment of the operating state of the key component of the cutting machine;

[0028] In the case that the required adjustment mode is not within the action range of the component state adjustment system, the component state adjustment system performs operation and maintenance strategy pushing of component state optimization adjustment.

[0029] In some embodiments of the present disclosure, the process parameter optimization control includes:

[0030] The intelligent coupling control system pre-establishes a mapping relationship between incoming material quality and process parameters;

[0031] The intelligent coupling control system determines the required process parameters for production according to the incoming material quality information and the mapping relationship between incoming material quality and process parameters;

[0032] The intelligent coupling control system retrieves the actual process parameters of the current cutting from the cutting machine electric control system;

[0033] The intelligent coupling control system compares whether the required process parameters for production are consistent with the actual process parameters;

[0034] In the case that the required process parameters for production are not consistent with the actual process parameters, the intelligent coupling control system generates second logic control information for process parameter adjustment, and sends the second logic control information to the cutting machine electric control system to adjust the process parameters through the cutting machine electric control system.

[0035] In some embodiments of the present disclosure, the device parameter optimization control includes:

[0036] The intelligent coupling control system pre-establishes a mapping relationship among incoming material quality, process parameters, and device parameters;

[0037] The intelligent coupling control system determines the required device parameters for production according to the incoming material quality information and the mapping relationship among incoming material quality, process parameters, and device parameters;

[0038] The intelligent coupling control system retrieves the actual device parameters of the current cutting from the cutting machine electric control system;

[0039] The intelligent coupling control system compares whether the required device parameters for production are consistent with the actual device parameters;

[0040] When the production required equipment parameters are inconsistent with the actual equipment parameters, the intelligent coupling control system generates third logic control information of equipment parameter adjustment, and sends the third logic control information to the electric control system of the cutting machine to adjust the equipment parameters through the electric control system of the cutting machine.

[0041] In some embodiments of the present disclosure, the intelligent cutting control includes:

[0042] Pre-adjusting the cutting process parameters when the cutting process starts;

[0043] During the cutting process, the cutting process parameters, the cutting equipment parameters, and the cutting component states are adjusted online with different weights;

[0044] After the cutting process, the maintenance strategy is pushed.

[0045] In some embodiments of the present disclosure, the online adjustment of the cutting process parameters, the cutting equipment parameters, and the cutting component states with different weights includes:

[0046] According to the incoming tobacco quality information, the cut tobacco quality information, and the component state information, a coupling quality score value is determined;

[0047] According to the coupling quality score value, a coupling quality optimization value is determined;

[0048] According to the coupling quality optimization value, logic control information corresponding to the adjustment of the process parameters, the equipment parameters, and the component states is generated, wherein the logic control information includes adjustment content and adjustment weight.

[0049] In some embodiments of the present disclosure, the first logic control information is used to indicate the adjustment of the component state; the second logic control information is used to indicate the adjustment of the process parameters; and the third logic control information is used to indicate the adjustment of the equipment parameters.

[0050] In some embodiments of the present disclosure, the online adjustment of the cutting process parameters, the cutting equipment parameters, and the cutting component states with different weights further includes:

[0051] The intelligent coupling control system sends at least one of the second logic control information and the third logic control information to the electric control system of the cutting machine to instruct the electric control system of the cutting machine to perform at least one of the process parameter adjustment and the equipment parameter adjustment;

[0052] The intelligent coupling control system sends the first logic control information to the component state control system to instruct the component state control system to perform the component state adjustment.

[0053] In some embodiments of the present disclosure, the determining the coupling quality score value according to the raw tobacco leaf quality information, the cut tobacco quality information, and the component state information comprises:

[0054] determining a coupling quality problem value according to the raw tobacco leaf quality information, the cut tobacco quality information, and the component state information;

[0055] determining the coupling quality score value according to the coupling quality score upper limit and the coupling quality problem value.

[0056] In some embodiments of the present disclosure, the determining the coupling quality problem value according to the raw tobacco leaf quality information, the cut tobacco quality information, and the component state information comprises:

[0057] determining a total problem element of the coupling quality problem for each coupling quality problem;

[0058] determining a problem value of the coupling quality problem for each coupling quality problem according to the total problem element of the coupling quality problem and a problem weight of the coupling quality problem;

[0059] summing up the problem values of all kinds of coupling quality problems to determine the coupling quality problem value, wherein the all kinds of coupling quality problems comprise at least one of a process parameter problem, a device parameter problem, and a component state problem.

[0060] In some embodiments of the present disclosure, each coupling quality problem comprises a plurality of sub-problems.

[0061] In some embodiments of the present disclosure, the determining the total problem element of the coupling quality problem comprises:

[0062] determining a sub-problem value of each sub-problem in the coupling quality problem according to a sub-problem element and a sub-problem weight of the sub-problem;

[0063] summing up the sub-problem values of all sub-problems in the coupling quality problem to determine the total problem element of the coupling quality problem.

[0064] In some embodiments of the present disclosure, the determining the coupling quality optimization value according to the coupling quality score value comprises:

[0065] determining a total adjustment mode value of the coupling quality problem for each coupling quality problem;

[0066] determining a quality optimization value of the coupling quality problem for each coupling quality problem according to the total adjustment mode value of the coupling quality problem and a problem weight of the coupling quality problem;

[0067] The coupling quality optimization values of all kinds of coupling quality problems are summed up to determine the coupling quality optimization value, wherein the all kinds of coupling quality problems include at least one of process parameter problems, equipment parameter problems and component state problems.

[0068] In some embodiments of the present disclosure, the adjustment mode of each coupling quality problem includes a plurality of sub-adjustment modes.

[0069] In some embodiments of the present disclosure, the determining the total adjustment mode value of the coupling quality problem includes:

[0070] Each sub-adjustment mode in the coupling quality problem is determined, and the sub-adjustment mode value is determined according to the sub-adjustment mode and the sub-adjustment mode weight;

[0071] The total adjustment mode value of the coupling quality problem is determined by summing up all the sub-adjustment mode values in the coupling quality problem.

[0072] According to another aspect of the present disclosure, an intelligent coupling control system is provided, comprising:

[0073] The first receiving module is configured to receive incoming tobacco quality information fed back by an incoming quality monitoring system;

[0074] The second receiving module is configured to receive cut tobacco quality information fed back by a cut quality monitoring system;

[0075] The third receiving module is configured to receive component state information fed back by a component state control system;

[0076] The coupling control module is configured to perform coupling control of the cutting machine quality according to the incoming tobacco quality information, the cut tobacco quality information and the component state information.

[0077] According to another aspect of the present disclosure, an intelligent coupling control system is provided, comprising:

[0078] The memory is configured to store instructions;

[0079] The processor is configured to execute the instructions, so that the intelligent coupling control system implements the cutting machine quality control method as described in any of the above embodiments.

[0080] According to another aspect of the present disclosure, a cutting machine quality control coupling system is provided, comprising the intelligent coupling control system as described in any of the above embodiments.

[0081] In some embodiments of the present disclosure, the cutting machine quality control coupling system further comprises:

[0082] The incoming material quality monitoring system is configured to monitor the quality of incoming tobacco leaves online and send the quality information of the incoming tobacco leaves to the intelligent coupling control system.

[0083] The cut tobacco quality monitoring system is configured to monitor the quality of cut tobacco online and send the quality information of the cut tobacco to the intelligent coupling control system.

[0084] The component state control system is configured to monitor the running state of key components of the tobacco cutting machine online during the tobacco cutting production process and send the component state information to the intelligent coupling control system.

[0085] In some embodiments of the present disclosure, the component state control system comprises:

[0086] The component state monitoring system is configured to monitor the running state of key components of the tobacco cutting machine online during the tobacco cutting production process and send the component state information to the intelligent coupling control system.

[0087] The component state adjustment system is configured to receive the first logical control information sent by the intelligent coupling control system and perform online optimization adjustment or operation and maintenance strategy pushing, wherein the first logical control information is a logical control instruction indicating optimization adjustment of the running state of key components of the tobacco cutting machine.

[0088] In some embodiments of the present disclosure, the component state monitoring system comprises monitoring devices installed on key components of each mechanism of the tobacco cutting machine, wherein the each mechanism of the tobacco cutting machine comprises at least one of a feeding system, a cutting system, a knife door system, a knife grinding system, a pneumatic system, and an electric control system, and the monitoring devices comprise at least one of a vibration transmission device, an infrared thermal imager, a torque measurement device, a plasma scanning device, a laser range finder, a visual recognition device, a microwave detection device, an industrial X-ray imaging device, a pressure transmitter, an industrial sonar detector, a voltage monitoring sensor, and a temperature transmission device.

[0089] In some embodiments of the present disclosure, the vibration transmission device is installed on a feeding vibration trough of the feeding system and used to monitor the swing arm vibration amplitude of the feeding vibration trough.

[0090] In some embodiments of the present disclosure, the infrared thermal imager is installed above the feeding vibration trough of the feeding system and used to monitor the feeding uniformity of the feeding vibration trough.

[0091] In some embodiments of the present disclosure, the torque measurement device is installed on the blade of the cutting system and used to monitor the cutting resistance during the cutting process of the blade.

[0092] In some embodiments of the present disclosure, the plasma scanning device is installed inside the side space of the pressure plate of the cutting system and used to monitor whether there is dirt accumulation in the pressure plate.

[0093] In some embodiments of the present disclosure, a laser distance detector is installed around the contact point between the knife door and the knife roller of the knife door system to monitor the size of the knife door gap.

[0094] In some embodiments of the present disclosure, a visual recognition device is installed around the lower knife door of the knife door system to monitor the wear of the surface of the lower knife door.

[0095] In some embodiments of the present disclosure, a microwave detection device is installed around the contact point between the diamond and the grinding wheel of the knife grinding system to monitor the distance between the diamond and the vertically fed grinding wheel.

[0096] In some embodiments of the present disclosure, an industrial radiographic imaging device is installed around the upper surface of the diamond of the knife grinding system to monitor whether there is a polishing tip on the upper surface of the diamond.

[0097] In some embodiments of the present disclosure, a pressure transmitter is installed on the pneumatic pipeline or components of the pneumatic system to monitor the size of the pneumatic system air source pressure supply.

[0098] In some embodiments of the present disclosure, an industrial sonar detector is installed in the control cabinet or centralized control area of the pneumatic system to monitor the size and location of the pneumatic system pipeline device air leakage sound source.

[0099] In some embodiments of the present disclosure, a voltage monitoring sensor is installed on the circuit or components of the electric control system to monitor the size and stability of the voltage of the key component electric control components.

[0100] In some embodiments of the present disclosure, a temperature transmitting device is installed on the circuit or components of the electric control system to monitor the temperature rise of the key component electric control components.

[0101] In some embodiments of the present disclosure, the component state adjustment system comprises an adjustment device installed on each key component of the cutting machine mechanism, wherein the cutting machine mechanism comprises at least one of a feeding system, a cutting system, a knife door system, a knife grinding system, a pneumatic system, and an electric control system, and the adjustment device comprises at least one of a damping oscillator, a servo controller, an analog displacement cylinder, a servo motor, an electric control pressure regulating valve, and a distributed voltage regulator.

[0102] In some embodiments of the present disclosure, a damping oscillator is installed on the vibration plate of the feeding vibration trough and the upper surface of the frame to adjust the vibration amplitude of the feeding vibration trough when the feeding vibration trough swing arm vibration amplitude exceeds the threshold monitored by the vibration transmitting device.

[0103] In some embodiments of the present disclosure, a servo controller is installed in the control circuit of the cutter roll motor of the cutting system, and is used for a torque measuring device to adjust the rotation speed of the cutter roll motor in a precise range and thereby increase the cutting flow when the cutting resistance of the blade is found to be abnormal.

[0104] In some embodiments of the present disclosure, an analog displacement cylinder is installed on both sides of the head cover of the cutting system and is connected with the head cover, and is used for a laser range finder to control the opening and closing degree of the head cover in a precise range when the gap between the cutter doors is found to be inappropriate.

[0105] In some embodiments of the present disclosure, a servo motor is installed in the external control circuit of the vertical movement of the diamond of the cutting system and is connected with the diamond, and is used for a microwave detection device to control the vertical and radial movement of the diamond in a precise range when the diamond is found to be not in normal contact with the vertical feed of the grinding wheel.

[0106] In some embodiments of the present disclosure, an electrically controlled pressure regulating valve is installed in the pipeline of the gas source supply of the pneumatic system, and is used for a pressure transmitter to adjust the pressure output of the gas source of the pneumatic system when the pressure supply of the pneumatic system is found to be inappropriate.

[0107] In some embodiments of the present disclosure, a distributed voltage regulator is installed in the control circuit of the key components of the electric control system, and is used for a voltage monitoring sensor to adjust the voltage output when the voltage of the key components of the electric control system is found to be unstable.

[0108] According to another aspect of the present disclosure, a computer readable storage medium is provided, wherein the computer readable storage medium stores computer instructions, and the instructions are executed by a processor to implement the tobacco cutting quality control method according to any one of the above embodiments.

[0109] The present disclosure can perform coupling control of the tobacco cutting quality according to the quality information of the incoming tobacco leaves, the quality information of the cut tobacco and the component state information, thereby improving the coupling of the tobacco cutting quality control. BRIEF DESCRIPTION OF DRAWINGS

[0110] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, brief descriptions will be given to the drawings needed in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative effort.

[0111] Figure 1 The figure is a schematic diagram of some embodiments of the tobacco cutting quality control coupling system of the present disclosure.

[0112] Figure 2A schematic diagram of some embodiments of a feedstock quality monitoring system of the present disclosure.

[0113] Figure 3 A schematic diagram of some embodiments of a post-cut quality monitoring system of the present disclosure.

[0114] Figure 4 A schematic diagram of some embodiments of a component state control system of the present disclosure.

[0115] Figure 5 A schematic diagram of some embodiments of a component state monitoring system of the present disclosure.

[0116] Figure 6 A schematic diagram of some embodiments of a component state adjustment system of the present disclosure.

[0117] Figure 7 A schematic diagram of some embodiments of a cut tobacco machine quality control method of the present disclosure.

[0118] Figure 8 A schematic diagram of some embodiments of a process parameter optimization control method of the present disclosure.

[0119] Figure 9 A schematic diagram of some embodiments of an equipment parameter optimization control method of the present disclosure.

[0120] Figure 10 A schematic diagram of some embodiments of a component state optimization control method of the present disclosure.

[0121] Figure 11 A schematic diagram of some other embodiments of a cut tobacco machine quality control method of the present disclosure.

[0122] Figure 12 A schematic diagram of some embodiments of an intelligent cut tobacco control method of the present disclosure.

[0123] Figure 13 A schematic diagram of some embodiments of an intelligent coupling control system of the present disclosure.

[0124] Figure 14 A schematic diagram of some other embodiments of an intelligent coupling control system of the present disclosure.

[0125] Figure 15 A schematic diagram of yet other embodiments of an intelligent coupling control system of the present disclosure. DETAILED DESCRIPTION

[0126] The technical solutions in the embodiments of the present disclosure will be described clearly and completely in the embodiments of the present disclosure in combination with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way limits the present disclosure and its application or uses. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of the present disclosure.

[0127] Unless specifically stated, the relative arrangement of the components and steps, numerical expressions, and values shown in the embodiments are not meant to limit the scope of the present disclosure.

[0128] It should be understood that the size of each part shown in the drawings is not drawn in accordance with the actual proportion relationship for the convenience of description.

[0129] The techniques, methods, and devices known to those of ordinary skill in the relevant art can not be discussed in detail, but should be considered part of the specification where appropriate.

[0130] In all examples shown and discussed herein, any specific values should be interpreted as merely illustrative and not as a limitation. Thus, other examples of the exemplary embodiments can have different values.

[0131] It should be noted that similar reference numbers and letters represent similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0132] The inventors have found through research that in the cut tobacco process of the related art, the three factors associated with the quality of cut tobacco are often involved in cut tobacco quality control as relatively independent elements. The specific description is as follows:

[0133] Incoming quality state: The cut tobacco machine realizes the feeding of tobacco leaves for cutting by its own feeding device. The upstream of the feeding device is often matched with a metal detector, manual picking and other processes to ensure the quality level of the incoming material, so as to avoid damage to the cut tobacco machine parts caused by metal impurities mixed in the tobacco leaves, moldy and smelly leaves, and abnormal incoming materials such as plastic mixed in the tobacco leaves to cause quality risks. Before the cut tobacco production process is started, the operator sets the cut tobacco process parameters according to the incoming leaf group, moisture, temperature, and even the cohesiveness, whole tobacco rate, and long tobacco rate of the incoming material. The conventional cut tobacco process parameters include knife door pressure, knife roller speed, etc.

[0134] Cutting quality feedback: During the operation of the tobacco cutting machine, the tobacco cutting machine cuts tobacco according to the production parameters set by the equipment and the manual adjustment mode, and the production parameters include process parameters and equipment parameters. During the production process of the cutting process, the line quality inspection personnel feed back the cutting quality information of the tobacco through periodic or non-periodic offline sampling detection mode, and the operator adjusts the relevant production parameters of the tobacco cutting machine according to the quality inspection feedback information, or the maintenance personnel adjust the equipment parts through the shutdown maintenance mode, so as to optimize the cutting quality and guarantee the cutting process.

[0135] Device part state: The tobacco cutting machine body is installed with a plurality of components. During the production operation, the running state of the cutting machine parts is monitored through corresponding sensors, including voltage and current size, part pressure control, and service life of consumables, etc. Without triggering the alarm shutdown, the cutting machine keeps normal state operation and displays the component detection information on the human-machine interface in real time. The maintenance personnel can adjust the related parts through the shutdown maintenance period combined with the detection information of the equipment parts during the production process, so as to realize the operation and maintenance guarantee of the running state of the cutting machine.

[0136] Based on the related art cutting production process, the following problems may occur:

[0137] The cutting quality control lacks coupling. The three factors related to the actual cutting quality guarantee are in a relatively independent control process, and the comprehensive guarantee of cutting quality control is not realized through logical algorithm and coupling. The cutting quality adjustment process relies on single source information, which may lead to inaccurate and imperfect adjustment effect.

[0138] The cutting quality control has a lag. The incoming process parameter adjustment relies on the relatively fixed production process before production, the cutting quality feedback time depends on the offline detection time of the quality inspection personnel, and the equipment part state depends on the shutdown maintenance of the maintenance personnel. The above methods seriously lack the real-time nature of online product quality control and have a time lag that cannot be ignored.

[0139] The cutting quality control has redundancy. Based on the related art cutting quality control process, the three factors are not coupled. The production and maintenance personnel can only roughly determine the problem according to single information source, and cannot accurately identify the optimization direction of the process and equipment, which may cause negative effects of equipment parameter and body multi-faceted processing, prolong the processing time, and also cause the emergence of new problems.

[0140] In view of at least one of the above technical problems, the present disclosure provides a cutting machine quality control method and coupling system, and an intelligent coupling control system. The present disclosure will be described below through specific embodiments.

[0141] Figure 1 A schematic diagram of some embodiments of the cutting machine quality control coupling system of the present disclosure. As shown in FIG. 1, the cutting machine quality control coupling system of the present disclosure includes a cutting machine 1, a cutting quality feedback module 2, a device part state module 3, a cutting quality control module 4, and a cutting quality control coupling module 5.Figure 1 As shown, the tobacco cutting machine quality control coupling system of the present disclosure can include a raw material quality monitoring system 1, a post-cutting quality monitoring system 2, a component state control system 3, and an intelligent coupling control system 4.

[0142] The raw material quality monitoring system 1 is configured to monitor the quality of raw tobacco leaves online and send raw tobacco leaf quality information to the intelligent coupling control system 4.

[0143] In some embodiments of the present disclosure, the raw material quality monitoring system 1 can identify raw material process quality information including but not limited to raw material size, height, flow rate, etc., depending on actual process requirements of the production site.

[0144] In some embodiments of the present disclosure, the hardware of the raw material quality monitoring system 1 can be selected from machine vision recognition devices suitable for the tobacco industry production line cutting process.

[0145] In some embodiments of the present disclosure, the raw material quality monitoring system can also use infrared thermal imagers, microwave detectors, plasma detectors, and other devices capable of achieving raw material monitoring functions, depending on actual working conditions of the production site.

[0146] The post-cutting quality monitoring system 2 is configured to monitor the quality of cut tobacco online and send post-cutting tobacco quality information to the intelligent coupling control system 4.

[0147] In some embodiments of the present disclosure, the post-cutting quality monitoring system 2 can identify post-cutting process quality information including but not limited to the width, thickness, and color of post-cutting tobacco, depending on actual process requirements of the production site.

[0148] In some embodiments of the present disclosure, the hardware of the post-cutting quality monitoring system 2 can be selected from machine vision recognition devices suitable for the tobacco industry production line cutting process.

[0149] In some embodiments of the present disclosure, the post-cutting quality monitoring system 2 can also use infrared thermal imagers, microwave detectors, plasma detectors, and other devices capable of achieving post-cutting monitoring functions, depending on actual working conditions of the production site.

[0150] The component state control system 3 is configured to monitor the operating state of key components of the cutting machine online during the cutting production process and send component state information to the intelligent coupling control system 4.

[0151] The intelligent coupling control system 4 is configured to receive raw tobacco leaf quality information fed back by the raw material quality monitoring system, receive post-cutting tobacco quality information fed back by the post-cutting quality monitoring system, receive component state information fed back by the component state control system, and perform coupling control of the cutting machine quality based on the raw tobacco leaf quality information, the post-cutting tobacco quality information, and the component state information.

[0152] In some embodiments of the present disclosure, the component state control system 3 is used to monitor the operation state of the key components of the cutting machine in the cutting process and transmit the component state information to the intelligent coupling control system 4, and receive the logical control instructions for the operation state optimization adjustment of the key components of the cutting machine sent by the intelligent coupling control system 4, and perform online optimization adjustment or operation and maintenance strategy pushing.

[0153] In some embodiments of the present disclosure, the intelligent coupling control system 4 is used to connect the above-mentioned incoming material quality monitoring system 1, the post-cutting quality monitoring system 2, and the component state control system 3, receive the feedback information of the systems and adjust the process parameters, device parameters, component states, and maintenance strategies according to the information.

[0154] Figure 2 The schematic diagram of some embodiments of the incoming material quality monitoring system of the present disclosure is shown in FIG. 1. Figure 2 As shown in FIG. 1, the first image acquisition system 11, the first light source system 12, the first image processing system 13, the first execution system 14, and the first human-machine interface 15 are shown.

[0155] In some embodiments of the present disclosure, the incoming material quality monitoring system includes but is not limited to the first image acquisition system 11, the first light source system 12, the first image processing system 13, the first execution system 14, the first human-machine interface 15, etc., depending on the actual working conditions of the production site.

[0156] In some embodiments of the present disclosure, the first image acquisition system 11 includes but is not limited to basic components such as lenses, CCD cameras, CMOS cameras, image acquisition cards, etc., depending on the actual working conditions of the production site.

[0157] In some embodiments of the present disclosure, the first light source system 12 can be selected but is not limited to front light sources, structured light sources, etc. according to the position of the light source, or fluorescent lamps, halogen lamps, etc. according to the type of the light source, and split light sources, ring light sources, etc. according to the shape of the light source, depending on the actual working conditions of the production site.

[0158] In some embodiments of the present disclosure, the first image processing system 13 can be selected as an embedded system or other PC-based systems and small computer-based systems, etc., depending on the actual working conditions of the production site.

[0159] In some embodiments of the present disclosure, the first execution system 14 includes PLC and various sensors, actuators, etc. applied by the incoming material quality monitoring system.

[0160] In some embodiments of the present disclosure, the first human-machine interface 15 is used to display the incoming material tobacco quality information obtained by the incoming material quality monitoring system.

[0161] In some embodiments of the present disclosure, the tobacco leaf quality information obtained by the incoming material quality monitoring system 1 can be integrated on the human-machine interface of the electric control system of the cutting machine, depending on the actual working conditions of the production site.

[0162] In some embodiments of the present disclosure, the incoming material quality monitoring system 1 should be installed on or near the feeding system of the cutting machine, depending on the actual working conditions of the production site.

[0163] Figure 3 A schematic diagram of some embodiments of the post-cut quality monitoring system of the present disclosure. As shown in Figure 3 the post-cut quality monitoring system of the present disclosure can include a second image acquisition system 21, a second light source system 22, a second image processing system 23, a second execution system 24, and a second human-machine interface 25.

[0164] In some embodiments of the present disclosure, the post-cut quality monitoring system 2 includes but is not limited to the second image acquisition system 21, the second light source system 22, the second image processing system 23, the second execution system 24, the second human-machine interface 25, etc., depending on the actual working conditions of the production site.

[0165] In some embodiments of the present disclosure, the second image acquisition system 21 includes but is not limited to basic components such as lenses, CCD cameras, CMOS cameras, image acquisition cards, etc., depending on the actual working conditions of the production site.

[0166] In some embodiments of the present disclosure, the second light source system 22 can be selected from but not limited to front light sources, structured light sources, etc. according to the position of the light source, or fluorescent lamps, halogen lamps, etc. according to the type of light source, and split light sources, ring light sources, etc. according to the shape of the light source, depending on the actual working conditions of the production site.

[0167] In some embodiments of the present disclosure, the second image processing system 23 can be an embedded system or other PC-based system and small computer-based system, etc., depending on the actual working conditions of the production site.

[0168] In some embodiments of the present disclosure, the second execution system 24 includes PLC and various sensors, actuators, etc. applied by the post-cut quality monitoring system.

[0169] In some embodiments of the present disclosure, the second human-machine interface 25 is used to display the post-cut tobacco quality information obtained by the post-cut quality monitoring system.

[0170] In some embodiments of the present disclosure, the post-cut tobacco quality information obtained by the post-cut quality monitoring system 2 can be integrated on the human-machine interface of the electric control system of the cutting machine, depending on the actual working conditions of the production site.

[0171] In some embodiments of the present disclosure, the post-cut quality monitoring system 2 should be installed on or near the outlet conveying device of the tobacco cutting machine, depending on the actual working conditions of the production site.

[0172] Figure 4 A schematic diagram of some embodiments of the component state control system of the present disclosure. As shown, the component state control system of the present disclosure can include a component state monitoring system 31 and a component state adjustment system 32. Figure 4

[0173] The component state monitoring system 31 is configured to monitor the operating state of the key components of the tobacco cutting machine online during the tobacco cutting production process and send component state information to the intelligent coupling control system.

[0174] In some embodiments of the present disclosure, the component state monitoring system 31 is used to monitor the operating state of the key components of the tobacco cutting machine online during the tobacco cutting production process and transmit component state information to the intelligent coupling control system 4 through the component state control system 3.

[0175] In some embodiments of the present disclosure, the component state monitoring system 31 includes, but is not limited to, general-purpose monitoring devices installed on the key components of the feeding system, cutting system, knife door system, knife grinding system, pneumatic system, and electrical control system of the tobacco cutting machine, depending on the actual working conditions of the production site.

[0176] The component state adjustment system 32 is configured to receive the first logical control information sent by the intelligent coupling control system and perform online optimization adjustment or operation and maintenance strategy pushing, wherein the first logical control information is a logical control instruction indicating optimization adjustment of the operating state of the key components of the tobacco cutting machine.

[0177] In some embodiments of the present disclosure, the component state control system 3 receives the logical control instruction for optimization adjustment of the operating state of the key components of the tobacco cutting machine sent by the intelligent coupling control system 4 and performs online optimization adjustment of the component state or operation and maintenance strategy pushing through the component state adjustment system 32.

[0178] In some embodiments of the present disclosure, the component state adjustment system 32 includes, but is not limited to, general-purpose adjustment devices installed on the key components of the feeding system, cutting system, knife door system, knife grinding system, pneumatic system, and electrical control system of the tobacco cutting machine, depending on the actual working conditions of the production site.

[0179] In some embodiments of the present disclosure, the component state monitoring system includes monitoring devices installed on the key components of the tobacco cutting machine, wherein the key components of the tobacco cutting machine include at least one of the feeding system, cutting system, knife door system, knife grinding system, pneumatic system, and electrical control system.

[0180] Figure 5 ​These are schematic diagrams illustrating some embodiments of the component condition monitoring system disclosed herein. For example... Figure 5 As shown, the types of monitoring devices used in the component condition monitoring system 31 of this disclosure include, but are not limited to, vibration transmitters 311, infrared thermal imagers 312, torque measuring devices 313, plasma scanning devices 314, laser rangefinders 315, visual recognition devices 316, microwave detection devices 317, industrial X-ray imaging devices 318, pressure transmitters 319, industrial sonar detectors 3110, voltage monitoring sensors 3111, temperature transmitters 3112, etc., depending on the actual working conditions at the production site.

[0181] In some embodiments of this disclosure, the vibration transmitter 311 may be installed on the feeding trough of the feeding system to monitor the vibration amplitude of the feeding trough swing arm.

[0182] In some embodiments of this disclosure, the infrared thermal imager 312 may be installed above the feeding trough of the feeding system to monitor the feeding uniformity of the feeding trough.

[0183] In some embodiments of this disclosure, the torque measuring device 313 may be mounted on the cutting blade of the cutting system to monitor the cutting resistance during the cutting process.

[0184] In some embodiments of this disclosure, the plasma scanning device 314 may be installed in the inner side space of the pressure plate of the cutting system to monitor whether there is scale buildup on the pressure plate.

[0185] In some embodiments of this disclosure, a laser rangefinder 315 may be installed around the contact point between the knife gate and the cutter roller in the knife gate system to monitor the size of the knife gate gap.

[0186] In some embodiments of this disclosure, the visual recognition device 316 may be installed around the lower knife gate of the knife gate system to monitor the wear condition of the lower knife gate surface.

[0187] In some embodiments of this disclosure, the microwave detection device 317 may be installed around the contact point between the diamond and the grinding wheel in the grinding system to monitor the distance between the diamond and the grinding wheel in a vertical feed state.

[0188] In some embodiments of this disclosure, the industrial X-ray imaging device 318 may be mounted around the diamond surface of the grinding system to monitor the presence of grinding tips on the diamond surface.

[0189] In some embodiments of this disclosure, the pressure transmitter 319 may be installed on the pneumatic lines or components of a pneumatic system to monitor the magnitude of the air supply pressure to the pneumatic system.

[0190] In some embodiments of the present disclosure, the industrial sonar detector 3110 can be installed in the control cabinet or centralized control area of the pneumatic system to monitor the size and location of the air leakage sound source of the pneumatic system pipeline device.

[0191] In some embodiments of the present disclosure, the voltage monitoring sensor 3111 can be installed on the line or component of the electric control system to monitor the size and stability of the voltage of the key component electric control component.

[0192] In some embodiments of the present disclosure, the temperature transmitting device 3112 can be installed on the line or component of the electric control system to monitor the temperature rise of the key component electric control component.

[0193] In some embodiments of the present disclosure, the content monitored by the component state monitoring system 31 includes but is not limited to the operating state of the above-mentioned key components of the device, depending on the actual working condition of the production site.

[0194] In some embodiments of the present disclosure, the component state adjustment system includes an adjustment device installed on each key component of the cutting machine, wherein the cutting machine includes at least one of a feeding system, a cutting system, a knife door system, a knife grinding system, a pneumatic system, and an electric control system.

[0195] Figure 6 The schematic diagram of some embodiments of the component state adjustment system of the present disclosure is shown in FIG. 32. Figure 6 As shown in FIG. 32, the types of adjustment devices used by the component state adjustment system 32 include but are not limited to a damping oscillator 321, a servo controller 322, an analog stroke cylinder 323, a servo motor 324, an electric control pressure regulating valve 325, a distributed voltage regulator 326, etc., depending on the actual working condition of the production site.

[0196] In some embodiments of the present disclosure, the damping oscillator 321 can be installed on the vibration plate of the feeding system and the upper surface of the machine frame to adjust the vibration amplitude of the feeding vibration trough when the vibration transmitting device 311 monitors that the vibration amplitude of the feeding vibration trough is excessive.

[0197] In some embodiments of the present disclosure, the servo controller 322 can be installed on the control line of the cutting system knife roller motor to adjust the speed of the knife roller motor within a precise range and thereby improve the cutting flow when the torque measuring device 313 monitors that the cutting resistance of the blade is abnormal.

[0198] In some embodiments of the present disclosure, the analog stroke cylinder 323 can be installed on both sides of the cutting system machine head cover and connected to the machine head cover to control the opening and closing degree of the machine head cover within a precise range when the laser range finder 315 monitors that the gap between the knife doors is not appropriate.

[0199] In some embodiments of the present disclosure, the servo motor 324 can be installed on the external control circuit of the vertical movement of the cutting system diamond and connected to the diamond. When the microwave detection device 317 detects that the diamond does not normally contact the vertical feed of the grinding wheel, the vertical radial movement of the diamond in the precision range is externally controlled.

[0200] In some embodiments of the present disclosure, the electric control pressure regulating valve 325 can be installed on the pipeline of the gas source supply of the pneumatic system, for adjusting the pressure output of the gas source of the pneumatic system when the pressure transmitter 319 detects that the pressure supply of the pneumatic system is not suitable.

[0201] In some embodiments of the present disclosure, the distributed voltage regulator 326 can be installed on the control circuit of the key components of the electric control system, for adjusting the voltage output when the voltage monitoring sensor 3111 detects that the voltage of the key components of the electric control system is unstable.

[0202] In some embodiments of the present disclosure, the online optimization adjustment of the component state adjustment system 32 includes but is not limited to the operation of the key components of the above equipment and the degree thereof, and other examples are determined according to the actual working conditions of the production site.

[0203] In some embodiments of the present disclosure, when the required component state corresponding adjustment mode exceeds the action range of the component state adjustment system 32, the component state optimization adjustment operation and maintenance strategy of the component state adjustment system 32 is pushed.

[0204] In some embodiments of the present disclosure, the feeding system is installed with a plurality of monitoring devices of the component state monitoring system and a plurality of execution devices of the component state adjustment system, wherein the monitoring device includes at least one of a vibration transducer device, a temperature transducer device, a speed detector, an infrared thermal imager and a microwave detection device, and the execution device includes at least one of a damping type exciter, an overcurrent automatic control regulating switch and a frequency converter.

[0205] In some embodiments of the present disclosure, the vibration transducer device in the monitoring device is used to monitor whether the vibration amplitude of the feeding vibration tank swing arm is excessive; and the damping type exciter in the execution device is used to adjust the vibration amplitude of the vibration tank.

[0206] In some embodiments of the present disclosure, the temperature transducer device in the monitoring device is used to monitor whether the temperature of the motor of the feeding vibration tank is too high; and the overcurrent automatic control regulating switch in the execution device is used to adjust the current of the motor to avoid excessive current and high temperature rise.

[0207] In some embodiments of the present disclosure, the speed detector in the monitoring device is used to monitor whether the advancing speed of the chain matches the current production flow; and the frequency converter in the execution device is used to adjust the advancing speed of the chain so that the advancing speed of the chain matches the current production flow.

[0208] In some embodiments of the present disclosure, an infrared thermal imager in the monitoring device is used to monitor whether the feeding vibration groove is unevenly fed; and a component state adjustment system is used to execute the method of pushing the operation and maintenance, specifically for pushing the operation and maintenance standards and SOP (Standard Operation Procedure) execution strategies of the mechanical structure of the feeding vibration groove and the upstream incoming material adjustment.

[0209] In some embodiments of the present disclosure, a microwave detection device in the monitoring device is used to monitor whether the chain running is abnormal, such as chain jumping or slipping; and a component state adjustment system is used to execute the method of pushing the operation and maintenance, specifically for pushing the maintenance standards and SOP execution strategies of the manual adjustment of the chain structure.

[0210] In some embodiments of the present disclosure, the cutting system is installed with a plurality of monitoring devices of the component state monitoring system and a plurality of execution devices of the component state adjustment system, wherein the monitoring device includes at least one of a torque measuring device, a balance detector, a visual recognition device, a photoelectric switch, a plasma scanning device and a microwave detection device, and the execution device includes at least one of a servo controller, a servo motor and a frequency converter.

[0211] In some embodiments of the present disclosure, a torque measuring device in the monitoring device is used to monitor whether the cutting resistance of the blade is normal; and a servo controller in the execution device is used to accelerate the motor speed of the cutting roller in a small range, thereby improving the cutting flow.

[0212] In some embodiments of the present disclosure, a balance detector in the monitoring device is used to monitor whether the two sides of the blade pushing block are out of position and unbalanced, causing the blade to be skewed; and a servo motor in the execution device is used to derive the single adjustment of the servo motor pushing blade, thereby adjusting the balance of the blade to avoid the skew of the blade.

[0213] In some embodiments of the present disclosure, a visual recognition device in the monitoring device is used to monitor whether the blade is worn; a frequency converter in the execution device is used to adjust the rotation speed of the grinding wheel, accelerate the polishing of the blade, and remove the worn area; and a component state adjustment system is used to execute the method of pushing the operation and maintenance, specifically for pushing the suggestion of the system to enter the self-grinding blade process of the filament cutting machine in the case of excessive wear.

[0214] In some embodiments of the present disclosure, a photoelectric switch in the monitoring device is used to monitor whether the blade has obvious whole blade and feed abnormality; and a component state adjustment system is used to execute the method of pushing the operation and maintenance, specifically for pushing the maintenance standards and SOP execution strategies of the feed abnormality, including but not limited to checking the sliding of the blade pushing block or the jamming of the feed mechanism.

[0215] In some embodiments of the present disclosure, the monitoring device in the monitoring device is a plasma scanning device for monitoring whether the pressure knife plate is fouled; the component state adjustment system is used to execute the method of operation and maintenance pushing, and is specifically used to push the maintenance standards and SOP execution strategies of manually disassembling the pressure knife plate to clean the fouling.

[0216] In some embodiments of the present disclosure, the monitoring device in the monitoring device is a microwave detection device for monitoring whether the pressure knife plate gap is not suitable; the component state adjustment system is used to execute the method of operation and maintenance pushing, and is specifically used to push the maintenance standards and SOP execution strategies of rechecking and adjusting the pressure knife plate gap.

[0217] In some embodiments of the present disclosure, the knife door system is installed with a plurality of monitoring devices of the component state monitoring system and a plurality of execution devices of the component state adjustment system, wherein the monitoring device comprises at least one of an intelligent grating ruler, a laser distance detector, a visual recognition device and an adhesion monitor, and the execution device comprises at least one of a servo motor and an analog stroke cylinder.

[0218] In some embodiments of the present disclosure, the intelligent grating ruler in the monitoring device is used to monitor whether the vertical operation of the knife door reaches the opening stroke; the servo motor in the execution device is used to adjust the vertical radial compensation amount of the knife door, so as to make the height of the knife door reach the opening stroke.

[0219] In some embodiments of the present disclosure, the laser distance detector in the monitoring device is used to monitor whether the knife door gap is suitable; the analog stroke cylinder in the execution device is used to adjust the degree of compression of the head cover on both sides of the analog stroke cylinder, so as to improve the knife door gap to the suitable station; the component state adjustment system is used to execute the method of operation and maintenance pushing, and is specifically used to push the maintenance standards and SOP execution strategies of rechecking and adjusting the knife door gap when the degree of unsuitability of the knife door gap is large.

[0220] In some embodiments of the present disclosure, the visual recognition device in the monitoring device is used to monitor whether the lower knife door is worn; the component state adjustment system is used to execute the method of operation and maintenance pushing, and is specifically used to push the maintenance standards and SOP execution strategies of mechanically adjusting the surface of the lower knife door or replacing the lower knife door.

[0221] In some embodiments of the present disclosure, the adhesion monitor in the monitoring device is used to monitor whether the side knife door has too much resistance; the component state adjustment system is used to execute the method of operation and maintenance pushing, and is specifically used to push the maintenance standards and SOP execution strategies of rechecking the wear of the side knife door and replacing the side knife door.

[0222] In some embodiments of the present disclosure, the grinding tool system is installed with a plurality of monitoring devices of the component state monitoring system and a plurality of execution devices of the component state adjustment system, wherein the monitoring devices include at least one of a stress monitor, a microwave detection device, a photoelectric switch, an infrared thermal imager and an industrial ray imaging device, and the execution devices include at least one of an incremental encoder, a servo motor and an absolute encoder.

[0223] In some embodiments of the present disclosure, the stress monitor in the monitoring device is used to monitor whether the resistance of the grinding wheel grinding tool is abnormal, and the incremental encoder in the execution device is used to control the vertical feed displacement adjustment of the grinding wheel motor according to the incremental encoder displacement setting value.

[0224] In some embodiments of the present disclosure, the microwave detection device in the monitoring device is used to monitor whether the diamond is in normal contact with the vertical feed grinding wheel, and the servo motor in the execution device is used to control the diamond vertical radial feed by the diamond feed servo motor to ensure the normal contact between the diamond and the grinding wheel.

[0225] In some embodiments of the present disclosure, the photoelectric switch in the monitoring device is used to monitor whether the reciprocating action of the grinding wheel grinding tool reaches the standard stroke, and the absolute encoder in the execution device is used to adjust the reciprocating stroke of the grinding wheel according to the absolute encoder standard zero point and displacement setting value.

[0226] In some embodiments of the present disclosure, the infrared thermal imager in the monitoring device is used to monitor whether the lower surface of the grinding wheel appears abnormal wear, and the component state adjustment system is used to execute the operation and maintenance pushing method, specifically for pushing the maintenance standards and SOP execution strategies of the grinding wheel replacement.

[0227] In some embodiments of the present disclosure, the industrial ray imaging device in the monitoring device is used to monitor whether there is a grinding tip on the upper surface of the diamond, and the component state adjustment system is used to execute the operation and maintenance pushing method, specifically for pushing the maintenance standards and SOP execution strategies of the diamond adjustment or replacement.

[0228] In some embodiments of the present disclosure, the pneumatic system is installed with a plurality of monitoring devices of the component state monitoring system and a plurality of execution devices of the component state adjustment system, wherein the monitoring devices include at least one of a pressure transmitter and an industrial sonar detector, and the execution devices include an electric control pressure regulating valve.

[0229] In some embodiments of the present disclosure, the pressure transmitter in the monitoring device is used to monitor whether the pneumatic system pressure supply is normal, the electric control pressure regulating valve in the execution device is used to adjust the pneumatic system gas source pressure output when the pressure size is not suitable, and the component state adjustment system is used to execute the operation and maintenance pushing method, specifically for pushing the maintenance standards and SOP execution strategies of the key components inspection and replacement of the pneumatic system when the pressure supply is abnormal.

[0230] In some embodiments of the present disclosure, the industrial sonar detector in the monitoring device is used to monitor whether the air supply system pipeline device leaks; and the component state adjustment system is used to perform the operation and maintenance pushing method, specifically to push the maintenance standards and SOP execution strategies for replacing the air supply system pipeline device.

[0231] In some embodiments of the present disclosure, the electric control system is installed with a plurality of monitoring devices of the component state monitoring system and a plurality of execution devices of the component state adjustment system, wherein the monitoring device comprises at least one of a voltage monitoring sensor, a current monitoring sensor and a temperature transmitting device, and the execution device comprises at least one of a distributed voltage regulator and a distributed current regulator.

[0232] In some embodiments of the present disclosure, the voltage monitoring sensor in the monitoring device is used to monitor whether the voltage of the key component electric control component is stable; and the distributed voltage regulator in the execution device is used to adjust the voltage output through the distributed voltage regulator to ensure normal voltage supply.

[0233] In some embodiments of the present disclosure, the current monitoring sensor in the monitoring device is used to monitor whether the current of the key component electric control component is overloaded; and the distributed current regulator in the execution device is used to adjust the current output through the distributed current regulator to ensure normal voltage supply.

[0234] In some embodiments of the present disclosure, the temperature transmitting device in the monitoring device is used to monitor whether the key component electric control component has a high temperature rise or even a sparking phenomenon; and the component state adjustment system is used to perform the operation and maintenance pushing method, specifically to push the maintenance standards and SOP execution strategies for detecting and replacing the key component component.

[0235] In some embodiments of the present disclosure, the component state monitoring system and the component state adjustment system include but are not limited to the above, which are determined according to the actual working conditions of the production site.

[0236] In some embodiments of the present disclosure, when the infrared thermal imager 312 monitors that the feeding vibration chute has uneven feeding, the operation and maintenance standards and SOP execution strategies for adjusting the mechanical structure of the feeding vibration chute and the upstream material in the feeding system are pushed.

[0237] In some embodiments of the present disclosure, when the plasma scanning device 314 monitors that the presser plate has accumulated dirt, the operation and maintenance standards and SOP execution strategies for disassembling the presser plate to clean the accumulated dirt in the cutting system are pushed.

[0238] In some embodiments of the present disclosure, when the visual recognition device 316 monitors that the lower knife door has wear, the operation and maintenance standards and SOP execution strategies for adjusting the surface of the lower knife door or replacing the lower knife door in the knife door system are pushed.

[0239] In some embodiments of the present disclosure, when the industrial ray imaging device 318 monitors that there is no polishing tip on the upper surface of the diamond, the operation and maintenance standard and SOP execution strategy for adjusting or replacing the diamond in the grinding tool system are pushed.

[0240] In some embodiments of the present disclosure, when the industrial sonar detector 3110 monitors that there is air leakage in the pipeline device of the pneumatic system, the operation and maintenance standard and SOP execution strategy for replacing the pipeline device in the pneumatic system are pushed.

[0241] In some embodiments of the present disclosure, when the temperature transmission device 3112 monitors that the temperature of the electric control component rises too high or even sparks, the operation and maintenance standard and SOP execution strategy for detecting and replacing the component in the electric control system are pushed.

[0242] In some embodiments of the present disclosure, the content pushed by the component state adjustment system 32 operation and maintenance strategy includes but is not limited to the operation and maintenance scene of the above-mentioned key components of the equipment, which is determined according to the actual working condition of the production site.

[0243] Figure 7 The schematic diagram of some embodiments of the tobacco cutting machine quality control method of the present disclosure. Figure 7 The tobacco cutting machine quality control coupling system of the present disclosure or the intelligent coupling control system of the present disclosure can be executed. As shown in Figure 7 the embodiment, the method can include at least one of steps 71 to 74, wherein: Figure 7 The method of the embodiment can include at least one of steps 71 to 74, wherein:

[0244] Step 71, the intelligent coupling control system receives the tobacco material quality information fed back by the incoming material quality monitoring system.

[0245] Step 72, the intelligent coupling control system receives the cut tobacco quality information fed back by the cut tobacco quality monitoring system.

[0246] Step 73, the intelligent coupling control system receives the component state information fed back by the component state control system.

[0247] Step 74, the intelligent coupling control system performs coupling control of the tobacco cutting machine quality according to the tobacco material quality information, the cut tobacco quality information and the component state information.

[0248] In some embodiments of the present disclosure, in step 74, the step of performing coupling control of the tobacco cutting machine quality can include at least one of process parameter optimization control, equipment parameter optimization control, component state optimization control, coupling quality scoring, coupling quality optimization control, and intelligent tobacco cutting control.

[0249] In some embodiments of the present disclosure, the process parameter optimization control includes process parameter adjustment.

[0250] In some embodiments of the present disclosure, the device parameter optimization control comprises device parameter adjustment.

[0251] In some embodiments of the present disclosure, the component state optimization control comprises at least one of component state adjustment and maintenance strategy pushing.

[0252] To match the above-mentioned cutting machine quality control coupling system based on component state monitoring and self-feedback of the present disclosure, the present disclosure also provides a cutting machine quality control method, specifically a use method of a cutting machine quality control coupling system based on component state monitoring and self-feedback. The use method comprises process parameter optimization control, device parameter optimization control, component state optimization control, coupling quality scoring method, coupling quality optimization strategy, and intelligent cutting control method.

[0253] Figure 8 A schematic diagram of some embodiments of the process parameter optimization control method of the present disclosure. Figure 8 The method can be executed by the cutting machine quality control coupling system of the present disclosure or the intelligent coupling control system of the present disclosure. As shown in Figure 8 Figure 8 The method of the embodiments can comprise at least one of steps 80 to 89, wherein:

[0254] Step 80: The intelligent coupling control system pre-establishes a mapping relationship between incoming material quality and process parameters.

[0255] In some embodiments of the present disclosure, step 80 can comprise: the intelligent coupling control system 4 establishes a single-factor mapping relationship of “incoming material quality-process parameters” in combination with the quality control requirements of the cutting process of the tobacco industry enterprise, daily cutting quality control experience, and expert opinions.

[0256] Step 81: The intelligent coupling control system 4 can establish a process parameter optimization library based on the single-factor mapping relationship of “incoming material quality-process parameters”. Then step 84 is executed.

[0257] Step 82: The incoming material quality monitoring system 1 monitors the quality of the incoming tobacco leaves to generate incoming tobacco leaf quality information.

[0258] Step 83: The incoming material quality monitoring system 1 sends the incoming tobacco leaf quality information to the intelligent coupling control system 4.

[0259] Step 84: The intelligent coupling control system queries the mapping relationship between incoming material quality and process parameters according to the incoming tobacco leaf quality information, and determines the required process parameters for production.

[0260] In some embodiments of the present disclosure, step 84 can comprise: the intelligent coupling control system 4 generates the required process parameters for production in a single factor according to the process parameter optimization library in combination with the incoming tobacco leaf quality information. ​

[0261] Step 85: The intelligent coupling control system retrieves the actual process parameters for the current shredding process from the electrical control system of the shredder.

[0262] Step 86: The intelligent coupling control system compares whether the process parameters required for production are consistent with the actual process parameters.

[0263] In some embodiments of this disclosure, step 86 may include: the intelligent coupling control system 4 comparing the process parameters required for production with the actual process parameters to determine whether they are consistent.

[0264] Step 87: If the required process parameters for production are consistent with the actual process parameters, the shredder will not adjust the process parameters.

[0265] Step 88: When the required process parameters for production are inconsistent with the actual process parameters, the intelligent coupling control system generates second logic control information for adjusting the process parameters and sends the second logic control information to the shredder electrical control system, which then adjusts the process parameters.

[0266] In some embodiments of this disclosure, step 88, the step of adjusting the process parameters through the shredder's electronic control system, may include: the shredder's electronic control system setting and adjusting the actual process parameters online according to the process parameters required for production, and cutting out tobacco shreds that meet quality control requirements.

[0267] Step 89: Through self-learning, iteratively upgrade the content of the process parameter optimization library.

[0268] In some embodiments of this disclosure, step 89 may include: in subsequent production processes, based on the establishment of the incoming tobacco leaf quality characteristic model, combined with the quality feedback of newly formed incoming tobacco leaf samples and cut tobacco shreds, the content of the process parameter optimization library can be continuously iterated and upgraded through the self-learning function of the intelligent coupling control system 4.

[0269] Figure 9 These are schematic diagrams illustrating some embodiments of the device parameter optimization control method disclosed herein. Figure 9 This can be executed by the quality control coupling system of the shredder disclosed herein or the intelligent coupling control system disclosed herein. For example... Figure 9 As shown, Figure 9 The method of the embodiment may include at least one of steps 90 to 99, wherein:

[0270] Step 90: The intelligent coupling control system pre-establishes the mapping relationship between incoming material quality, process parameters, and equipment parameters.

[0271] In some embodiments of the present disclosure, step 90 can include that the intelligent coupling control system 4 establishes a single-factor mapping relationship of "material quality-process parameter-equipment parameter" in combination with the quality control requirements of the tobacco industry enterprise's cutting process, daily cutting quality control experience and expert opinions.

[0272] Step 91, the intelligent coupling control system 4 can establish an equipment parameter optimization library based on the single-factor mapping relationship of "material quality-process parameter-equipment parameter".

[0273] Step 92, the material quality monitoring system 1 monitors the material tobacco quality to generate material tobacco quality information.

[0274] Step 93, the material quality monitoring system 1 sends the material tobacco quality information to the intelligent coupling control system.

[0275] Step 94, the intelligent coupling control system 4 generates the required equipment parameters for production in combination with the material tobacco quality information based on the equipment parameter optimization library.

[0276] In some embodiments of the present disclosure, step 94 can include that the intelligent coupling control system queries the mapping relationship of material quality, process parameter and equipment parameter according to the material tobacco quality information, and determines the required equipment parameters for production.

[0277] Step 95, the intelligent coupling control system calls the actual equipment parameters for current cutting from the cutting machine electric control system.

[0278] Step 96, the intelligent coupling control system compares whether the required equipment parameters for production are consistent with the actual equipment parameters.

[0279] In some embodiments of the present disclosure, step 96 can include that the intelligent coupling control system 4 compares the required equipment parameters for production with the actual equipment parameters to determine whether they are consistent.

[0280] Step 97, in the case that the required equipment parameters for production are consistent with the actual equipment parameters, the cutting machine does not adjust the equipment parameters.

[0281] Step 98, in the case that the required equipment parameters for production are inconsistent with the actual equipment parameters, the intelligent coupling control system generates third logic control information for equipment parameter adjustment, and sends the third logic control information to the cutting machine electric control system to adjust the equipment parameters through the cutting machine electric control system.

[0282] In some embodiments of the present disclosure, in step 98, the step of adjusting the equipment parameters through the cutting machine electric control system can include that the cutting machine electric control system performs online setting adjustment on the actual equipment parameters according to the required equipment parameters for production, and cuts tobacco shreds meeting the quality control requirements.

[0283] Step 99: Continuously iterate and upgrade the device parameter optimization library content through the self-learning function.

[0284] In some embodiments of this disclosure, step 99 may include: in subsequent production processes, based on the establishment of the incoming tobacco leaf quality characteristic model, combined with the quality feedback of newly formed incoming tobacco leaf samples and cut tobacco shreds, the equipment parameter optimization library content can be continuously iterated and upgraded through the self-learning function of the intelligent coupling control system 4.

[0285] Figure 10 The diagram illustrates some embodiments of the component state optimization control method disclosed herein. Figure 10 This can be executed by the quality control coupling system of the shredder disclosed herein or the intelligent coupling control system disclosed herein. For example... Figure 10 As shown, Figure 10 The method of the embodiment may include at least one of steps 101 to 115, wherein:

[0286] Step 101: The intelligent coupling control system pre-establishes a mapping relationship between incoming material quality, process parameters, equipment parameters, component status, and adjustment methods.

[0287] In some embodiments of this disclosure, step 101 may include: the intelligent coupling control system 4 establishing a single-factor mapping relationship of "incoming material quality - process parameters - equipment parameters - component status - adjustment method" by combining the quality control requirements of the tobacco industry enterprise's shredding process, daily shredding quality control experience and expert opinions.

[0288] Step 102: The intelligent coupling control system 4 can establish a component status optimization library based on the single-factor mapping relationship of "incoming material quality - process parameters - equipment parameters - component status - adjustment method".

[0289] Step 103: The incoming tobacco quality monitoring system 1 monitors the quality of the incoming tobacco leaves and generates incoming tobacco leaf quality information.

[0290] Step 104: The incoming material quality monitoring system 1 sends the quality information of the incoming tobacco leaves to the intelligent coupling control system 4.

[0291] Step 105: The intelligent coupling control system 4 generates the component status information required for production based on the component status optimization library and the single-factor information of the incoming tobacco leaf quality.

[0292] In some embodiments of this disclosure, step 105 may include: the intelligent coupling control system queries the mapping relationship between incoming tobacco quality, process parameters, equipment parameters, component status and adjustment method based on the incoming tobacco quality information, and determines the component status information required for production.

[0293] Step 106, the component state monitoring system 31 monitors the operation state of the critical components of the cutting machine and generates actual component state information of the cutting machine.

[0294] Step 107, the component state control system 3 sends the actual component state information of the cutting machine generated by the component state monitoring system 31 to the intelligent coupling control system 4.

[0295] Step 108, the intelligent coupling control system determines whether the required component state information for production is consistent with the actual component state information fed back by the component state control system.

[0296] In some embodiments of the present disclosure, step 108 can include: the intelligent coupling control system 4 compares the required component state information for production with the actual component state information to determine whether they are consistent.

[0297] Step 109, in the case where the required component state information for production is consistent with the actual component state information fed back by the component state control system, no adjustment of the component state is made.

[0298] Step 110, in the case where the required component state information for production is inconsistent with the actual component state information, the intelligent coupling control system generates first logical control information for optimizing and adjusting the operation state of the critical components of the cutting machine by querying the mapping relationship of incoming material quality, process parameters, equipment parameters, component state and adjustment mode; the intelligent coupling control system sends the first logical control information to the component state control system.

[0299] In some embodiments of the present disclosure, step 110 can include: in the case where the component state information is inconsistent, the intelligent coupling control system 4 generates logical control instructions for optimizing and adjusting the operation state of the critical components of the cutting machine in combination with the single mapping relationship of “component state—adjustment mode” in the component state optimization library and sends the logical control instructions to the component state control system 3.

[0300] Step 111, the component state control system executes the first logical control information through the component state adjustment system.

[0301] In some embodiments of the present disclosure, step 111 can include: the component state control system 3 executes the logical control instructions for optimizing and adjusting the operation state of the critical components of the cutting machine through the component state adjustment system 32.

[0302] Step 112, the intelligent coupling control system identifies whether the required adjustment mode is within the action range of the component state adjustment system.

[0303] In some embodiments of the present disclosure, step 112 can include: determining whether the required adjustment mode is beyond the action range of the component state adjustment system.

[0304] Step 113: When the required adjustment method is within the action range of the component status adjustment system, the component status adjustment system performs online optimization adjustment of the operating status of the key components of the shredder.

[0305] In some embodiments of this disclosure, step 113 may include: when the intelligent coupling control system 4 identifies, through an intelligent algorithm, that the required adjustment method is within the action range of the component state adjustment system 32, the component state adjustment system 32 performs online optimization adjustment of the operating state of the key components of the shredder, so as to cause the shredder to cut out tobacco shreds that meet the quality control requirements.

[0306] Step 114: If the required adjustment method is not within the action range of the component status adjustment system, the component status adjustment system pushes the operation and maintenance strategy for component status optimization and adjustment.

[0307] In some embodiments of this disclosure, step 114 may include: when the component status control system 3 identifies through an intelligent algorithm that the required adjustment method exceeds the action range of the component status adjustment system 32 and needs to be carried out manually by shutdown maintenance, the component status adjustment system 32 will push the operation and maintenance strategy for component status optimization adjustment.

[0308] Step 115: Continuously iterate and upgrade the component status optimization library content through the self-learning function.

[0309] In some embodiments of this disclosure, step 115 may include: in the subsequent production process, based on the establishment of the component state feature model, combined with the new incoming tobacco leaf samples, new component state samples, new component state adjustment methods and post-cut tobacco quality feedback, the self-learning function of the intelligent coupling control system 4 can be used to continuously iterate and upgrade the component state optimization library content.

[0310] Figure 11 This is a schematic diagram of some other embodiments of the quality control method for the shredder disclosed herein. Figure 11 This can be executed by the quality control coupling system of the shredder disclosed herein or the intelligent coupling control system disclosed herein. For example... Figure 11 As shown, Figure 11 The method of the embodiment may include at least one of steps 100 to 300, wherein:

[0311] Step 100: At the start of the shredding process, pre-adjust the shredding process parameters.

[0312] Step 200: During the shredding process, the shredding process parameters, shredding equipment parameters, and shredding component status are adjusted online with different weights.

[0313] In some embodiments of this disclosure, step 200 may include at least one of steps 210 to 250, wherein:

[0314] At step 210, a coupling quality score value is determined according to the raw tobacco leaf quality information, the cut tobacco quality information, and the component state information.

[0315] In some embodiments of the present disclosure, step 210 can be implemented by the coupling quality scoring method of the present disclosure.

[0316] In some embodiments of the present disclosure, the coupling quality scoring method of the intelligent coupling control system 4 is based on a coupling quality scoring formula and related intelligent algorithms.

[0317] In some embodiments of the present disclosure, step 210 can include at least one of step 211 and step 212, wherein:

[0318] At step 211, a coupling quality problem value B is determined according to the raw tobacco leaf quality information, the cut tobacco quality information, and the component state information.

[0319] In some embodiments of the present disclosure, the coupling quality problem is composed of problem elements and problem weights of process parameter problems, equipment parameter problems, and component state problems.

[0320] In some embodiments of the present disclosure, step 211 can include at least one of steps 2111 to 2113, wherein:

[0321] At step 2111, for each coupling quality problem, a total problem element of the coupling quality problem is determined.

[0322] In some embodiments of the present disclosure, each coupling quality problem includes a plurality of sub-problems.

[0323] In some embodiments of the present disclosure, step 2111 can include: for each sub-problem in the coupling quality problem, determining a sub-problem value of the sub-problem according to a sub-problem element and a sub-problem weight of the sub-problem; and summing the sub-problem values of all sub-problems in the coupling quality problem to determine the total problem element of the coupling quality problem.

[0324] In some embodiments of the present disclosure, the sub-problem elements of the process parameters are D11, D12, D13, …, D1 n , and the sub-problem weights are E11, E12, E13, …, E1 n , and the total problem of the process parameters can be represented as

[0325] In some embodiments of the present disclosure, the sub-problem elements of the equipment parameters are D21, D22, D23, …, D2 n , and the sub-problem weights are E21, E22, E23, …, E2 n, the total problem of the equipment parameter aspect can be represented as

[0326] In some embodiments of the present disclosure, the sub-problem elements of the component state are D31, D32, D33…D3 n , the sub-problem weights are E31, E32, E33…E3 n , and the total problem of the component state aspect can be represented as

[0327] In step 2112, for each coupling quality problem, a problem value of the coupling quality problem is determined according to the total problem element of the coupling quality problem and the problem weight of the coupling quality problem.

[0328] In step 2113, the problem values of all kinds of coupling quality problems are summed to determine a coupling quality problem value, wherein the all kinds of coupling quality problems include at least one of the process parameter problem, the equipment parameter problem and the component state problem.

[0329] In some embodiments of the present disclosure, step 2113 can include that the total problem element of the process parameter is B1, the problem weight is C1, the total problem element of the component parameter is B2, the problem weight is C2, the total problem element of the equipment state is B3, and the problem weight is C3, and B=B1*C1+B2*C2+B3*C3.

[0330] In some embodiments of the present disclosure, the coupling quality problem can be represented as

[0331] In step 212, a coupling quality score value is determined according to the coupling quality score upper limit and the coupling quality problem value.

[0332] In some embodiments of the present disclosure, the coupling quality score formula is represented as coupling quality score=100-coupling quality problem.

[0333] In some embodiments of the present disclosure, A represents the coupling quality score, B represents the coupling quality problem, and A=100-B.

[0334] In some embodiments of the present disclosure, the coupling quality score formula is finally represented as

[0335] In some embodiments of the present disclosure, in the coupling principle formula, the coupling quality score upper limit is 100 points, and the lower limit is 0 point, forming a score direction that the coupling quality score is lower as the coupling quality problem is more serious.

[0336] In some embodiments of the present disclosure, the system total problem weight C of the process parameter aspect, the equipment parameter aspect and the component state aspecti and sub-problem weight E i According to the information in the process parameter optimization library, the equipment parameter optimization library, and the component state optimization library, as well as the process control requirements, the cut tobacco quality control experience, and the expert score, and combining the intelligent algorithm, the total problem weight C

[0337] In some embodiments of the present disclosure, the total problem weight C i and the sub-problem weight E i of the process parameter aspect, the equipment parameter aspect, and the component state aspect are obtained from sources including but not limited to the above sources, depending on the actual working conditions of the production site.

[0338] In some embodiments of the present disclosure, in the subsequent production process, the total problem weight C i and the sub-problem weight E i of the process parameter aspect, the equipment parameter aspect, and the component state aspect can be continuously iteratively adjusted based on the established weight standard, combined with the incoming material quality problem, the coupling optimization strategy, and the post-cut quality feedback, through the self-learning function of the intelligent coupling control system 4.

[0339] Step 220, determining the coupling quality optimization value according to the coupling quality score value.

[0340] In some embodiments of the present disclosure, step 220 can include: combining the coupling quality score formula, and the intelligent coupling control system 4 generates a coupling quality optimization formula based on the coupling quality score formula.

[0341] In some embodiments of the present disclosure, step 220 can include at least one of step 221 and step 223, wherein:

[0342] Step 221, for each coupling quality problem, determining the total adjustment mode value of the coupling quality problem.

[0343] In some embodiments of the present disclosure, the adjustment mode of each coupling quality problem includes a plurality of sub-adjustment modes.

[0344] In some embodiments of the present disclosure, in step 221, the step of determining the total adjustment mode value of the coupling quality problem can include: determining each sub-adjustment mode in the coupling quality problem, determining the sub-adjustment mode value according to the sub-adjustment mode and the sub-adjustment mode weight, and summing all sub-adjustment mode values in the coupling quality problem to determine the total adjustment mode value of the coupling quality problem.

[0345] In some embodiments of the present disclosure, the total adjustment mode of the process parameter problem is with a weight C1, and the corresponding each sub-adjustment mode is G1 n, and the weight of E1 is E1 n .

[0346] In some embodiments of the present disclosure, the total adjustment mode of the equipment parameter problem is , and the weight of C2 is C2, and the corresponding each sub-adjustment mode is G2 n , and the weight of E2 is E2 n .

[0347] In some embodiments of the present disclosure, the total adjustment mode of the component state problem is , and the weight of C3 is C3, and the corresponding each sub-adjustment mode is G3 n , and the weight of E3 is E3 n .

[0348] Step 222, for each coupling quality problem, determining the quality optimization value of the coupling quality problem according to the total adjustment mode value of the coupling quality problem and the problem weight of the coupling quality problem.

[0349] Step 223, summing the quality optimization values of all kinds of coupling quality problems to determine the coupling quality optimization value, wherein the all kinds of coupling quality problems include at least one of the process parameter problem, the equipment parameter problem and the component state problem.

[0350] In some embodiments of the present disclosure, the coupling quality optimization formula is represented as

[0351] In some embodiments of the present disclosure, the adjustment mode of the process parameter problem is adjusting the process parameter, the adjustment mode of the equipment parameter problem is adjusting the equipment parameter, and the adjustment mode of the component state problem is adjusting the component state or pushing the maintenance strategy.

[0352] In some embodiments of the present disclosure, based on the calculation of the coupling quality optimization formula and the intelligent algorithm, the intelligent coupling control system 4 generates the logical control information corresponding to the adjustment of the process parameter, the equipment parameter and the component state, and the logical control information includes the adjustment content and the adjustment weight.

[0353] In some embodiments of the present disclosure, the intelligent coupling control system 4 sends the logical control information of the adjustment of the process parameter and the equipment parameter to the electric control system of the cutting machine.

[0354] In some embodiments of the present disclosure, the electric control system of the cutting machine receives the adjustment information of the process parameter and the equipment parameter and executes.

[0355] In some embodiments of the present disclosure, the intelligent coupling control system 4 sends the logical control information of the adjustment of the component state to the component state control system 3.

[0356] In some embodiments of the present disclosure, the component state control system 3 receives the adjustment information of the component state and performs through the component state adjustment system 32, and the performance mode includes online optimization adjustment or operation and maintenance strategy pushing.

[0357] Step 230, generating logical control information corresponding to the adjustment of the process parameters, the equipment parameters and the component state according to the coupling quality optimization value, wherein the logical control information includes adjustment content and adjustment weight.

[0358] Step 240, the intelligent coupling control system sends at least one of the second logical control information and the third logical control information to the electric control system of the cutting machine to instruct the electric control system of the cutting machine to perform at least one of the process parameter adjustment and the equipment parameter adjustment.

[0359] In some embodiments of the present disclosure, the first logical control information is used to instruct to perform the adjustment of the component state; the second logical control information is used to instruct to perform the adjustment of the process parameter; and the third logical control information is used to instruct to perform the adjustment of the equipment parameter.

[0360] Step 250, the intelligent coupling control system sends the first logical control information to the component state control system to instruct the component state control system to perform the component state adjustment.

[0361] Step 300, after the cutting process, the maintenance strategy is pushed.

[0362] Figure 12 The schematic diagram of some embodiments of the intelligent cutting control method of the present disclosure. Figure 12 The method can be executed by the cutting machine quality control coupling system of the present disclosure or the intelligent coupling control system of the present disclosure. As shown in Figure 12 Figure 12 The method of the embodiments can include at least one of steps 500 to 523, wherein:

[0363] Step 500, the intelligent control system of the cutting machine is started.

[0364] Step 501, the cutting machine starts to enter the cutting state, and the incoming tobacco enters the feeding system of the cutting machine.

[0365] Step 502, the incoming quality monitoring system 1 monitors the incoming tobacco quality to generate incoming tobacco quality information.

[0366] Step 503, the incoming quality monitoring system 1 monitors that the incoming tobacco flow reaches a stable state.

[0367] Step 504, when the incoming quality monitoring system 1 monitors that the incoming tobacco flow reaches a stable state, the intelligent control system of the cutting machine forms a process parameter pre-adjustment through the “process parameter optimization control”. ​

[0368] Steps 505 to 506, the cut tobacco production process continues until the cut tobacco is cut by the cutting machine.

[0369] Step 507, when the post-cut quality monitoring system 2 monitors that the post-cut tobacco quality does not meet the product quality control requirements of the cigarette industry enterprise in the cutting process, the post-cut quality monitoring system 2 will display the post-cut tobacco quality information through the human-machine interface 25 and generate relevant early warning reminders.

[0370] Step 508, at this time, the post-cut tobacco quality problem may be caused by process parameters, equipment parameters, or component state problem elements.

[0371] Step 509, the cutting machine intelligent control system forms a process parameter adjustment scheme through the “process parameter optimization control” or does not adjust.

[0372] Step 510, the cutting machine intelligent control system continues to check whether it is caused by equipment parameter or component state problem elements.

[0373] Step 511, the cutting machine intelligent control system forms an equipment parameter adjustment scheme through the “equipment parameter optimization control” or does not adjust.

[0374] Step 512, the cutting machine intelligent control system continues to check whether it is caused by component state problem elements.

[0375] Step 513, the cutting machine intelligent control system forms an online optimization adjustment scheme or maintenance strategy push scheme for component state through the “component state optimization control” or does not adjust.

[0376] Step 514, the cutting machine intelligent control system generates a coupling quality score formula through the intelligent coupling control system 4 in combination with the above monitoring information and intelligent algorithms.

[0377] Step 515, the intelligent coupling control system 4 displays the coupling quality score formula on the third human-machine interface 45 of the system.

[0378] Step 516, the cutting machine intelligent control system generates a coupling quality optimization formula through the intelligent coupling control system 4 in combination with the coupling quality score formula and intelligent algorithms.

[0379] Step 517, the intelligent coupling control system 4 generates logical control information corresponding to the adjustment of process parameters, equipment parameters, and component state in combination with the coupling quality optimization formula and intelligent algorithms. The logical control information includes adjustment content and adjustment weight.

[0380] Step 518, the logical control information corresponding to the adjustment of process parameters, equipment parameters, and component state, including their respective adjustment content and adjustment weight, will be displayed on the third human-machine interface 45 of the system.

[0381] Step 519 to step 520, the intelligent coupling control system 4 sends the logic control information of the adjustment of the process parameters and the device parameters to the electric control system of the cutting machine; the electric control system of the cutting machine receives the adjustment information of the process parameters and the device parameters and executes.

[0382] Step 521 to step 5222, the intelligent coupling control system 4 sends the logic control information of the adjustment of the component state to the component state control system 3; the component state control system 3 receives the adjustment information of the component state and executes through the component state adjustment system 32, and the execution mode includes online optimization adjustment or operation and maintenance strategy pushing.

[0383] Step 523, the intelligent control system of the cutting machine completes a complete cycle of intelligent coupling optimization control of cutting.

[0384] The present disclosure provides a cutting machine quality control coupling system and use method based on component state monitoring and self-feedback to solve the multiple problems in the current cutting production process, such as the dependence of cutting quality adjustment on single source information, the lack of coupling effect of cutting quality related factors, the existence of hysteresis and redundancy in the cutting quality control process, and the insufficient precision of process equipment optimization direction, thereby realizing real-time online control of cutting product quality, accurate positioning of the weight of the cutting optimization direction, mapping mode pushing of the cutting maintenance strategy, and finally realizing the quality guarantee effect of meeting the requirements of product quality control.

[0385] The present disclosure can realize the correlation and coupling between cutting quality control factors through the application of the cutting machine quality control coupling system and use method based on component state monitoring and self-feedback. Through the comprehensive action of the software and hardware of the intelligent control system and its deep learning algorithm, real-time monitoring functions are formed for incoming material quality information, post-cutting feedback information, and component state information, an online cutting product quality model is constructed, and online product quality related factors and their action weights are calculated. According to the intelligent coupling control system and its control mode, pre-adjustment of cutting process parameters is formed at the beginning of the cutting process, different weight online adjustment of cutting process parameters, cutting device parameters, and cutting component state is formed during the cutting process, and accurate maintenance strategy suggestion pushing is formed after the cutting process, so as to guarantee that the cutting product quality meets the process quality control requirements through the multiple coupling optimization modes of the intelligent control system.

[0386] Figure 13 A schematic diagram of some embodiments of the intelligent coupling control system of the present disclosure is shown. As shown in Figure 13 The intelligent coupling control system of the present disclosure can include a first receiving module 401, a second receiving module 402, a third receiving module 403, and a coupling control module 404, wherein:

[0387] The first receiving module 401 is configured to receive the incoming tobacco quality information fed back by the incoming tobacco quality monitoring system.

[0388] The second receiving module 402 is configured to receive the cut tobacco quality information fed back by the cut tobacco quality monitoring system.

[0389] The third receiving module 403 is configured to receive the component state information fed back by the component state control system.

[0390] The coupling control module 404 is configured to perform the coupling control of the cutting machine quality according to the incoming tobacco quality information, the cut tobacco quality information and the component state information.

[0391] In some embodiments of the present disclosure, the intelligent coupling control system of the present disclosure can be configured to perform the cutting machine quality control method as described in any of the above embodiments.

[0392] Figure 14 Fig. 4 is a structural schematic diagram of another embodiment of the intelligent coupling control system of the present disclosure. As shown in Fig. 4, the intelligent coupling control system of the present disclosure comprises a memory 405 and a processor 406. Figure 14

[0393] The memory 405 is used to store instructions, and the processor 406 is coupled to the memory 405. The processor 406 is configured to perform the cutting machine quality control method involved in the above embodiments based on the instructions stored in the memory.

[0394] As shown in Fig. 4, the intelligent coupling control system further comprises a communication interface 407 for information interaction with other devices. Meanwhile, the intelligent coupling control system further comprises a bus 408, and the processor 406, the communication interface 407 and the memory 405 complete mutual communication through the bus 408. Figure 14

[0395] The memory 405 can contain a high-speed RAM memory, and can also include a non-volatile memory such as at least one disk memory. The memory 405 can also be a memory array. The memory 405 can also be divided into blocks, and the blocks can be combined into a virtual volume according to certain rules.

[0396] In addition, the processor 406 can be a central processing unit CPU, or can be an application specific integrated circuit ASIC, or one or more integrated circuits configured to implement the embodiments of the present disclosure.

[0397] Figure 15 Fig. 5 is a structural schematic diagram of still another embodiment of the intelligent coupling control system of the present disclosure. As shown in Fig. 5, the intelligent coupling control system of the present disclosure comprises a memory 405 and a processor 406. Figure 15 ​​As shown, the intelligent coupling control system of the present disclosure includes, but is not limited to, a programmable processor 41, an electric control module 42, a network module 43, a cable 44, a third human-machine interface 45, and the like, depending on the actual working conditions of the production site.

[0398] In some embodiments of the present disclosure, the programmable processor 41 can be an advanced processor such as a PLC, a DSP, and the like, including but not limited to the above categories, depending on the actual working conditions of the production site.

[0399] In some embodiments of the present disclosure, the electric control module 42 includes, but is not limited to, a power supply module, a digital input module, a digital output module, a distributed I / O module, a feeder, a converter module, a terminal resistance module, and the like, depending on the actual working conditions of the production site.

[0400] In some embodiments of the present disclosure, the network module 43 includes, but is not limited to, a communication module, a profinet network device, a profibus network device, and the like, depending on the actual working conditions of the production site.

[0401] In some embodiments of the present disclosure, the cable 44 can be a general-purpose cable suitable for a cigarette industry enterprise.

[0402] In some embodiments of the present disclosure, the third human-machine interface 45 is used to display the coupling quality score, the coupling quality problem elements and their weights, the coupling quality optimization strategy, and the like, which are generated by the intelligent coupling control system 4 in combination with the monitoring information and its intelligent algorithm.

[0403] In some embodiments of the present disclosure, the information displayed by the third human-machine interface 45 includes, but is not limited to, the above content, depending on the actual working conditions of the production site.

[0404] In some embodiments of the present disclosure, the information generated by the intelligent coupling control system 4 in combination with the monitoring information and its intelligent algorithm can also be integrated on the human-machine interface of the electric control system of the cutting machine, depending on the actual working conditions of the production site.

[0405] According to another aspect of the present disclosure, a computer readable storage medium is provided, wherein the computer readable storage medium stores computer instructions, and the instructions, when executed by a processor, implement the cutting machine quality control method according to any one of the above embodiments.

[0406] The computer readable storage medium of the present disclosure can be implemented as a non-transitory computer readable storage medium.

[0407] Compared with the related art, the present disclosure has the following advantages and beneficial effects:

[0408] 1. Improving the coupling of cutting quality control

[0409] The present disclosure can realize the coupling between the cutting quality control factors through the application of the new system, form the multi-directional real-time monitoring function of the incoming material quality information, the post-cutting feedback information and the component state information through the comprehensive effect of the intelligent control system software and hardware and the deep learning algorithm, build the online cutting product quality model and the coupling quality scoring formula, calculate the online product quality related factors and their weight, and then form the quality optimization strategy with strong coupling, and comprehensively control the cutting quality from multiple angles and problem elements and their solutions.

[0410] 2. Improve the timeliness of cutting quality control

[0411] The present disclosure can realize the coupling between the cutting quality control factors through the application of the new system, form the multi-directional real-time monitoring function of the incoming material quality information, the post-cutting feedback information and the component state information through the comprehensive effect of the intelligent control system software and hardware and the deep learning algorithm, build the online cutting product quality model and the coupling quality scoring formula, calculate the online product quality related factors and their weight, and then form the quality optimization strategy with strong coupling, and comprehensively control the cutting quality from multiple angles and problem elements and their solutions.

[0412] 3. Improve the precision of cutting quality control

[0413] The present disclosure can realize the coupling between the cutting quality control factors through the application of the new system, form the multi-directional real-time monitoring function of the incoming material quality information, the post-cutting feedback information and the component state information through the comprehensive effect of the intelligent control system software and hardware and the deep learning algorithm, build the online cutting product quality model and the coupling quality scoring formula, calculate the online product quality related factors and their weight, and then form the quality optimization strategy with strong coupling, and comprehensively control the cutting quality from multiple angles and problem elements and their solutions.

[0414] Those skilled in the art will appreciate that embodiments of the present disclosure can be provided as methods, apparatuses, or computer program products. Accordingly, the present disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure can take the form of a computer program product implemented on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) having computer usable program code embodied therein.

[0415] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0416] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0417] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0418] The intelligent coupling control system, the first receiving module, the second receiving module, the third receiving module and the coupling control module described above can be implemented as a general processor, a programmable logic controller (PLC), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or any appropriate combination thereof, for performing the functions described in the present disclosure.

[0419] It can be understood by those skilled in the art that all or part of the steps of the above-mentioned embodiments of the present disclosure can be completed by hardware, which can be implemented as a general processor, a programmable logic controller, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or any appropriate combination thereof, for performing the methods described in the present disclosure.

[0420] So far, the present disclosure has been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Those skilled in the art can fully understand how to implement the technical solutions disclosed herein according to the above description.

[0421] Those skilled in the art can understand that all or part of the steps of the above-mentioned embodiments can be completed by hardware, or by a program instructing relevant hardware to complete, and the program can be stored in a non-transitory computer readable storage medium, which can be a read-only memory, a magnetic disk or an optical disk, etc.

[0422] The description of the present disclosure is given for the purpose of illustration and description, and is not exhaustive or limiting to the present disclosure. Many modifications and variations will be apparent to those skilled in the art. The embodiments are chosen and described in order to better illustrate the principles and practical application of the present disclosure, and to enable others skilled in the art to understand the present disclosure in order to design various embodiments with various modifications for specific use.

Claims

1. A tobacco cutting machine quality control method, comprising: an intelligent coupling control system receiving incoming tobacco quality information fed back by an incoming tobacco quality monitoring system; the intelligent coupling control system receiving cut tobacco quality information fed back by a cut tobacco quality monitoring system; the intelligent coupling control system receiving component state information fed back by a component state control system; the intelligent coupling control system performing coupling control of the tobacco cutting machine quality based on the incoming tobacco quality information, the cut tobacco quality information, and the component state information; wherein the coupling control of the tobacco cutting machine quality comprises: performing coupling quality scoring, coupling quality optimization control, and intelligent tobacco cutting control; wherein the intelligent tobacco cutting control comprises: on-line adjustment of different weights of tobacco cutting process parameters, tobacco cutting equipment parameters, and tobacco cutting component states during the tobacco cutting process; wherein the on-line adjustment of different weights of the tobacco cutting process parameters, the tobacco cutting equipment parameters, and the tobacco cutting component states comprises: determining a coupling quality score value based on the incoming tobacco quality information, the cut tobacco quality information, and the component state information; determining a coupling quality optimization value based on the coupling quality score value; generating logical control information corresponding to adjustment of the process parameters, the equipment parameters, and the component states based on the coupling quality optimization value, wherein the logical control information comprises adjustment content and adjustment weights.

2. The cutup machine quality control method of claim 1 wherein, the coupling control of the tobacco cutting machine quality further comprises: performing at least one of process parameter optimization control, equipment parameter optimization control, and component state optimization control.

3. The cutup machine quality control method of claim 2 wherein, the process parameter optimization control comprises process parameter adjustment; the equipment parameter optimization control comprises equipment parameter adjustment; the component state optimization control comprises at least one of component state adjustment and maintenance strategy pushing.

4. The shreds quality control method according to claim 2 or 3, wherein, the component state optimization control comprises: the intelligent coupling control system pre-establishes a mapping relationship among incoming quality, process parameters, equipment parameters, component states, and adjustment methods; the intelligent coupling control system queries the mapping relationship among incoming quality, process parameters, equipment parameters, component states, and adjustment methods based on the incoming tobacco quality information to determine component state information required for production; the intelligent coupling control system determines whether the component state information required for production is consistent with actual component state information fed back by the component state control system; in the case where the component state information required for production is not consistent with the actual component state information, the component state is adjusted by controlling the component state control system.

5. The cut tobacco quality control method of claim 4, wherein, the adjustment of the component state by controlling the component state control system comprises: the intelligent coupling control system generates first logical control information for optimal adjustment of the running state of a key component of the tobacco cutting machine by querying the mapping relationship among incoming quality, process parameters, equipment parameters, component states, and adjustment methods; the intelligent coupling control system sends the first logical control information to the component state control system; the component state control system executes the first logical control information through a component state adjustment system.

6. The cut tobacco quality control method of claim 5, wherein, the execution of the first logical control information by the component state control system through the component state adjustment system comprises: the intelligent coupling control system identifies whether the required adjustment method is within the action range of the component state adjustment system; In the case that the required adjustment mode is within the action range of the component state adjustment system, the component state adjustment system performs online optimization adjustment of the operating state of the key component of the cutting machine; In the case that the required adjustment mode is not within the action range of the component state adjustment system, the component state adjustment system performs operation and maintenance strategy pushing of component state optimization adjustment.

7. The shreds quality control method according to claim 2 or 3, wherein, The process parameter optimization control includes: The intelligent coupling control system pre-establishes a mapping relationship between incoming material quality and process parameters; The intelligent coupling control system determines the required process parameters for production according to the incoming material quality information and the mapping relationship between incoming material quality and process parameters; The intelligent coupling control system retrieves the actual process parameters of the current cutting from the cutting machine electric control system; The intelligent coupling control system compares whether the required process parameters for production are consistent with the actual process parameters; In the case that the required process parameters for production are not consistent with the actual process parameters, the intelligent coupling control system generates second logical control information for process parameter adjustment, and sends the second logical control information to the cutting machine electric control system to adjust the process parameters through the cutting machine electric control system.

8. The cuttmg machine quality control method of claim 2 or 3, wherein, The device parameter optimization control includes: The intelligent coupling control system pre-establishes a mapping relationship between incoming material quality, process parameters and device parameters; The intelligent coupling control system determines the required device parameters for production according to the incoming material quality information and the mapping relationship between incoming material quality, process parameters and device parameters; The intelligent coupling control system retrieves the actual device parameters of the current cutting from the cutting machine electric control system; The intelligent coupling control system compares whether the required device parameters for production are consistent with the actual device parameters; In the case that the required device parameters for production are not consistent with the actual device parameters, the intelligent coupling control system generates third logical control information for device parameter adjustment, and sends the third logical control information to the cutting machine electric control system to adjust the device parameters through the cutting machine electric control system.

9. The shredder quality control method of any of claims 1 to 3, wherein, The intelligent cutting control further includes: In the case that the cutting process starts, the cutting process parameters are pre-adjusted; After the cutting process, the maintenance strategy is pushed.

10. The cuttmg machine quality control method of any of claims 1-3, wherein, The first logical control information is used to indicate the adjustment of the component state; the second logical control information is used to indicate the adjustment of the process parameters; The third logical control information is used to indicate the adjustment of the device parameters; The online adjustment of the cutting process parameters, cutting device parameters and cutting component state with different weights further includes: The intelligent coupling control system sends at least one of the second logical control information and the third logical control information to the cutting machine electric control system to instruct the cutting machine electric control system to perform at least one of the process parameter adjustment and the device parameter adjustment; The intelligent coupling control system sends the first logical control information to the component state control system to instruct the component state control system to perform the component state adjustment.

11. The shredder quality control method of any of claims 1 to 3, wherein, The determination of the coupling quality score value according to the incoming material quality information, the cut tobacco quality information and the component state information includes: The determination of the coupling quality problem value according to the incoming material quality information, the cut tobacco quality information and the component state information; The coupling quality score value is determined according to the coupling quality score upper limit and the coupling quality problem value.

12. The cut tobacco quality control method of claim 11, wherein, The coupling quality problem value is determined according to the tobacco material quality information, the cut tobacco quality information and the component state information. For each coupling quality problem, a total problem element of the coupling quality problem is determined. For each coupling quality problem, a problem value of the coupling quality problem is determined according to the total problem element of the coupling quality problem and a problem weight of the coupling quality problem. The coupling quality problem value is determined by summing up the problem values of all kinds of coupling quality problems, wherein the all kinds of coupling quality problems include at least one of the process parameter problem, the equipment parameter problem and the component state problem.

13. The cut tobacco quality control method of claim 12, wherein, Each coupling quality problem includes a plurality of sub-problems. The total problem element of the coupling quality problem is determined according to the following steps: For each sub-problem in the coupling quality problem, a sub-problem value of the sub-problem is determined according to a sub-problem element of the sub-problem and a sub-problem weight of the sub-problem. The total problem element of the coupling quality problem is determined by summing up the sub-problem values of all the sub-problems in the coupling quality problem.

14. The shredder quality control method of any of claims 1 to 3, wherein, The coupling quality optimization value is determined according to the coupling quality score value according to the following steps: For each coupling quality problem, a total adjustment mode value of the coupling quality problem is determined. For each coupling quality problem, a quality optimization value of the coupling quality problem is determined according to the total adjustment mode value of the coupling quality problem and a problem weight of the coupling quality problem. The coupling quality optimization value is determined by summing up the quality optimization values of all kinds of coupling quality problems, wherein the all kinds of coupling quality problems include at least one of the process parameter problem, the equipment parameter problem and the component state problem.

15. The cut tobacco quality control method of claim 14, wherein, The adjustment mode of each coupling quality problem includes a plurality of sub-adjustment modes. The total adjustment mode value of the coupling quality problem is determined according to the following steps: For each sub-adjustment mode in the coupling quality problem, a sub-adjustment mode value of the sub-adjustment mode is determined according to the sub-adjustment mode and a sub-adjustment mode weight of the sub-adjustment mode. The total adjustment mode value of the coupling quality problem is determined by summing up the sub-adjustment mode values of all the sub-adjustment modes in the coupling quality problem.

16. An intelligent coupling control system, comprising: a first receiving module configured to receive tobacco material quality information fed back by a tobacco material quality monitoring system; a second receiving module configured to receive cut tobacco quality information fed back by a cut tobacco quality monitoring system; a third receiving module configured to receive component state information fed back by a component state control system; a coupling control module configured to perform coupling control of the cut tobacco quality according to the tobacco material quality information, the cut tobacco quality information and the component state information; wherein the intelligent coupling control system is configured to perform coupling quality scoring, coupling quality optimization control and intelligent cut tobacco control while performing the coupling control of the cut tobacco quality; wherein the intelligent coupling control system is configured to perform online adjustment of the cut tobacco process parameters, the cut tobacco equipment parameters and the cut tobacco component state with different weights in the cut tobacco process while performing the intelligent cut tobacco control. The intelligent coupling control system is configured to determine a coupling quality score value according to the raw material tobacco quality information, the cut tobacco quality information and the component state information in the case of online adjustment of different weights of the cut tobacco process parameters, the cut tobacco equipment parameters and the cut tobacco component state; determine a coupling quality optimization value according to the coupling quality score value; and generate logical control information corresponding to the adjustment of the process parameters, the equipment parameters and the component state according to the coupling quality optimization value, wherein the logical control information comprises adjustment content and adjustment weight.

17. An intelligent coupling control system, comprising: a memory configured to store instructions; a processor configured to execute the instructions, so that the intelligent coupling control system implements the cut tobacco machine quality control method according to any one of claims 1-15.

18. A cut tobacco machine quality control coupling system, comprising the intelligent coupling control system according to claim 16 or 17.

19. The cut tobacco machine quality control coupling system according to claim 18, further comprising: a raw material quality monitoring system configured to monitor the quality of raw material tobacco online and send raw material tobacco quality information to the intelligent coupling control system; a cut tobacco quality monitoring system configured to monitor the quality of cut tobacco online and send cut tobacco quality information to the intelligent coupling control system; a component state control system configured to monitor the operating state of key components of the cut tobacco machine online during the cut tobacco production process and send component state information to the intelligent coupling control system.

20. The cuttmg machine quality control coupling system of claim 19, wherein, The component state control system comprises: a component state monitoring system configured to monitor the operating state of key components of the cut tobacco machine online during the cut tobacco production process and send component state information to the intelligent coupling control system; a component state adjustment system configured to receive first logical control information sent by the intelligent coupling control system and perform online optimization adjustment or operation and maintenance strategy pushing, wherein the first logical control information is a logical control instruction indicating optimization adjustment of the operating state of key components of the cut tobacco machine.

21. The cuttmg machine quality control coupling system of claim 20, wherein, The component state monitoring system comprises monitoring devices installed on key components of each mechanism of the cut tobacco machine, wherein the each mechanism of the cut tobacco machine comprises at least one of a feeding system, a cutting system, a knife door system, a knife grinding system, a pneumatic system and an electric control system, and the monitoring devices comprise at least one of a vibration transmission device, an infrared thermal imager, a torque measurement device, a plasma scanning device, a laser range finder, a visual recognition device, a microwave detection device, an industrial X-ray imaging device, a pressure transmitter, an industrial sonar detector, a voltage monitoring sensor and a temperature transmission device.

22. The cut tobacco machine quality control coupling system according to claim 21, wherein: the vibration transmission device is installed on a feeding vibration trough of the feeding system and used to monitor the vibration amplitude of the feeding vibration trough; the infrared thermal imager is installed above the feeding vibration trough of the feeding system and used to monitor the feeding uniformity of the feeding vibration trough; the torque measurement device is installed on the blade of the cutting system and used to monitor the cutting resistance during the cutting process of the blade; Plasma scanning device, installed in the inner side space of the pressure plate of the cutting system, used to monitor whether there is scale on the pressure plate; Laser range finder, installed in the contact point between the knife door and the knife roller of the knife door system, used to monitor the size of the knife door gap; Visual recognition device, installed in the periphery of the lower knife door of the knife door system, used to monitor the wear of the surface of the lower knife door.

23. The tobacco cutter quality control coupling system of claim 21, wherein: Microwave detection device, installed in the contact point between the diamond and the grinding wheel of the grinding system, used to monitor the distance between the diamond and the vertically fed grinding wheel; Industrial radiographic imaging device, installed in the upper surface of the diamond of the grinding system, used to monitor whether there is a polishing tip on the upper surface of the diamond; Pressure transmitter, installed on the pneumatic pipeline or components of the pneumatic system, used to monitor the size of the pneumatic system pressure supply; Industrial sonar detector, installed in the control cabinet or centralized control area of the pneumatic system, used to monitor the size and position of the pneumatic system pipeline device air leakage sound source; Voltage monitoring sensor, installed on the line or components of the electric control system, used to monitor the size and stability of the voltage of the key component electric control components; Temperature transmitting device, installed on the line or components of the electric control system, used to monitor the temperature rise of the key component electric control components.

24. The cuttmg machine quality control coupling system of claim 20, wherein, The component state adjustment system comprises an adjustment device installed on each key component of the tobacco cutter, wherein the tobacco cutter comprises at least one of a feeding system, a cutting system, a knife door system, a grinding system, a pneumatic system, and an electric control system, and the adjustment device comprises at least one of a damping type exciter, a servo controller, an analog displacement cylinder, a servo motor, an electric control pressure regulating valve, and a distributed voltage regulator.

25. The tobacco cutter quality control coupling system of claim 24, wherein: Damping type oscillator, installed on the vibration plate of the feeding vibration trough and the upper surface of the machine frame, used to adjust the vibration amplitude of the feeding vibration trough when the vibration transmitting device monitors that the vibration amplitude of the feeding vibration trough swing arm is excessive; Servo controller, installed on the control line of the knife roller motor of the cutting system, used to adjust the speed of the knife roller motor in a precise range to improve the cutting flow when the torque measuring device monitors that the cutting resistance of the blade is abnormal; Analog displacement cylinder, installed on both sides of the machine head cover of the cutting system and connected with the machine head cover, used to control the opening and closing degree of the machine head cover in a precise range when the laser range finder monitors that the knife door gap is not appropriate; Servo motor, installed on the external control line of the vertical motion of the diamond of the cutting system and connected with the diamond, used to control the vertical and radial motion of the diamond in a precise range when the microwave detection device monitors that the diamond does not normally contact the vertically fed grinding wheel; Electric control pressure regulating valve, installed on the pipeline of the gas source supply of the pneumatic system, used to adjust the pressure output of the gas source of the pneumatic system when the pressure transmitter monitors that the pressure supply of the pneumatic system is not appropriate; The distributed voltage regulator is installed on the control circuit of the key component of the electric control system, and is used for adjusting the size of the voltage output in the case that the voltage monitoring sensor monitors that the voltage of the key component electric control component is unstable.

26. A computer readable storage medium, wherein, The computer readable storage medium stores computer instructions, and the instructions are executed by the processor to implement the method for quality control of a tobacco cutter according to any one of claims 1-15.

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