Abnormal Detection Method, Device and Electronic Equipment for Weight Control of Cigarette Making Machine

Abstract

An abnormal detection, early warning and diagnosis method, device and electronic device for weight control of a cigarette making machine in an embodiment of the present application. The method includes: grasping cigarette sticks with theoretical weights meeting requirements after being inspected by the weight control system of the cigarette making machine, and verifying their actual weights through a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette stick is abnormal; obtaining and monitoring the set parameters in the weight control system of the cigarette making machine, and obtaining the position fluctuation data of the leveling plate for reducing tobacco shreds, thereby forming an early warning method for abnormalities in the weight control system of the cigarette making machine, and improving the reliability of cigarette stick weight control.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of data processing, and in particular, to an abnormal detection method, device, and electronic device for the weight control of a cigarette making machine. Background Art

[0002] Based on the weight control system of the cigarette making machine, the produced finished cigarette sticks meet the specified quality requirements. However, once there is a problem with the weight control system of the cigarette making machine, a large number of unqualified products will be produced and scrapped. At present, it is difficult to detect general faults in the weight control system, and basically manual judgment is carried out, resulting in low efficiency and poor monitoring accuracy. Summary of the Invention

[0003] In view of this, one of the technical problems solved by the embodiments of the present application is to provide an abnormal detection method, device, and electronic device for the weight control of a cigarette making machine to overcome or alleviate the above-mentioned defects in the prior art.

[0004] In a first aspect, an abnormal detection method for the weight control of a cigarette making machine is provided, which includes:

[0005] Use a cigarette stick on-line sampling device to grab cigarette sticks whose theoretical weight meets the requirements after being inspected by the weight control system of the cigarette making machine, and perform actual weight detection on them through a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette stick is abnormal;

[0006] In response to the abnormal weight of the cigarette stick, perform the following steps:

[0007] Obtain the set relevant parameters in the weight control system of the front-end cigarette making machine, and the parameters are used to convert the detected cigarette stick density into cigarette stick weight;

[0008] Judge whether the parameter is outside the set parameter threshold range. If so, determine that the first monitoring parameter is abnormal, resulting in the abnormal weight of the cigarette stick;

[0009] Obtain the position fluctuation data of the leveling plate for reducing tobacco shreds, and judge whether the position fluctuation of the leveling plate is abnormal during the process of reducing tobacco shreds according to the position fluctuation data. If it is abnormal, determine that the position fluctuation of the leveling plate causes the abnormal weight of the cigarette stick;

[0010] Obtain the waste rejection data during the process of generating the cigarette stick, and judge whether the waste rejection function is abnormal during the process of reducing tobacco shreds according to the waste rejection data. If it is abnormal, determine that the waste rejection abnormality causes the abnormal weight of the cigarette stick.

[0011] Optionally, the front-end cigarette making machine weight control system includes: a tobacco shred density sensor for cigarette sticks;

[0012] The method further includes: based on the cut tobacco density sensor, monitoring the cut tobacco density of the cigarette, generating cut tobacco density data, and storing the cut tobacco density data into a data acquisition server for recording device status information based on the monitored time series.

[0013] Optionally, the density sensor is a microwave detector, the microwave detector includes a probe and a detection cavity, and during the process of the cigarette passing through the detection cavity, the probe is used to scan the cigarette to monitor the cut tobacco density of the cigarette.

[0014] Optionally, the method further includes: monitoring the running speed of the cigarette making machine, and when the running speed is greater than a set speed threshold, the monitoring data participates in the calculation of the early warning algorithm.

[0015] Optionally, the method further includes at least one of the following steps:

[0016] Performing rendering processing on the position fluctuation data to draw a real-time display graph of the flat plate fluctuation monitoring;

[0017] Classifying the waste rejection data, determining the waste rejection type, and based on the waste rejection type, performing rendering processing on the corresponding waste rejection data to draw a real-time display graph of the waste rejection monitoring;

[0018] Pushing the early warning records determined by the analysis of the early warning algorithm to an information display screen, and tracking and recording the subsequent on-site processing process and effects.

[0019] Optionally, the method further includes: obtaining waste rejection control parameters to be compared and displayed with the real-time display graph of the waste rejection monitoring, and judging the influence weight of the waste rejection control parameters on the waste rejection data.

[0020] In the technical solution of the embodiment of the present application, a cigarette online sampling device is used to grab cigarettes whose theoretical weight meets the requirements after being inspected by the weight control system of the cigarette making machine, and its actual weight is detected by a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette is abnormal; in response to the abnormal weight of the cigarette, the following steps are executed: obtaining relevant parameters set in the weight control system of the front-end cigarette making machine, where the parameters are used to convert the detected cigarette density into cigarette weight; determining whether the parameters are outside the set parameter threshold range. If so, it is determined that the abnormal first monitoring parameter causes the abnormal weight of the cigarette; obtaining the position fluctuation data of the leveling plate for cutting tobacco, and judging whether the position fluctuation of the leveling plate is abnormal during the process of cutting tobacco according to the position fluctuation data. If it is abnormal, it is determined that the position fluctuation of the leveling plate causes the abnormal weight of the cigarette; obtaining the waste rejection data during the process of generating the cigarette, and judging whether the waste rejection function is abnormal during the process of cutting tobacco according to the waste rejection data. If it is abnormal, it is determined that the abnormal waste rejection causes the abnormal weight of the cigarette, thereby realizing automatic monitoring of abnormalities and improving the monitoring efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Some specific embodiments of the embodiments of the present application will be described in detail below with reference to the drawings in an exemplary and non-limiting manner. The same reference numerals in the drawings denote the same or similar components or parts. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0022] Figure 1 As shown, it is a schematic flowchart of a method for detecting abnormalities in the weight control of a cigarette making machine provided by an embodiment of the present application.

[0023] Figure 2 It is a schematic structural diagram of an abnormality detection device for the weight control of a cigarette making machine according to an embodiment of the present application.

[0024] Figure 3 It is a schematic structural diagram of an electronic device according to an embodiment of the present application.

[0025] Figure 4 It is a schematic hardware structure diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] Implementing any technical solution of the embodiments of the present application does not necessarily require achieving all of the above advantages at the same time.

[0027] To enable those skilled in the art to better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application shall fall within the scope of protection of the embodiments of the present application.

[0028] The cigarette making machine weight control system provided by the embodiments of the present application includes: a tobacco density sensor, a cigarette speed monitor, a cigarette weight calculation unit, a leveling plate position control unit, a leveling plate motor, a leveling plate, and a leveling plate position sensor. When the running speed of the cigarette making machine exceeds the set value and the cigarette speed monitor detects a cigarette, the cigarette making machine weight control system starts to work. When the cigarette passes through the tobacco density sensor at high speed, the tobacco density of the cigarette is monitored. The machine speed and phase signals output by the shaft encoder installed on the main motor of the cutter head drive of the cigarette making machine are transmitted to the cigarette weight calculation unit to calculate the weight of a single cigarette. The weight deviation between the cigarette weight calculated by the cigarette weight calculation unit and the set cigarette weight (target weight) is obtained, and is converted into a displacement amount and output to the leveling plate position control unit. The leveling plate position control unit controls the leveling plate motor to drive the leveling plate to rise or fall according to the position of the leveling plate monitored by the position sensor and the displacement amount to be adjusted, so as to realize the amount of tobacco in the formed cigarette, and further control the weight of the cigarette. During this process, through the cigarette waste monitoring system, the cigarettes determined to be waste are removed, that is, waste removal. For example, an electromagnetic valve is used to control the telescopic rod of a cylinder to push the defective cigarettes in the channel out of the cigarette finished product channel.

[0029] Based on the above application scenario, as Figure 1 shown, it is a schematic flow chart of an abnormal detection method for cigarette making machine weight control provided by the embodiments of the present application. As Figure 1 shown, it includes:

[0030] S101. Use a cigarette on-line sampling device to grab cigarettes whose theoretical weight meets the requirements after being inspected by the cigarette making machine weight control system, and perform actual weight detection on them through a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette is abnormal;

[0031] If the detected actual weight deviates too much from the set weight threshold, the cigarette is too light or too heavy, it is regarded as not matching the set weight threshold, indicating that the weight of the cigarette is abnormal.

[0032] S102. In response to the abnormal weight of the cigarette, perform the following steps:

[0033] Obtain the relevant set parameters in the weight control system of the front-end cigarette making machine, and the parameters are used to convert the detected cigarette density into cigarette weight;

[0034] Judge whether the parameter is outside the set parameter threshold range. If it is, it is determined that the abnormal parameter causes the abnormal weight of the cigarette; at the same time, if the parameter setting is abnormal, it indicates that the weight control system is abnormal.

[0035] Obtain the position fluctuation data of the leveling plate for cutting tobacco, and judge whether the position fluctuation of the leveling plate is abnormal during the process of cutting tobacco according to the position fluctuation data. If it is abnormal, it is determined that the position fluctuation of the leveling plate causes the abnormal weight of the cigarette;

[0036] Obtain the waste rejection data during the process of generating the cigarette, and judge whether the waste rejection function is abnormal during the process of cutting tobacco according to the waste rejection data. If it is abnormal, it is determined whether the abnormal waste rejection causes the abnormal weight of the cigarette.

[0037] By monitoring whether the position fluctuation of the leveling plate is abnormal, the self-adjustment amount and frequency during the operation of the weight control system are evaluated for abnormality, thereby realizing the automatic monitoring of the abnormality of the weight control system to reduce the risk of abnormal cigarette weight caused by the abnormality of the weight control system.

[0038] Exemplarily, in one embodiment, the method further includes: based on the tobacco density sensor, monitoring the tobacco density of the cigarette, generating tobacco density data, and storing the tobacco density data into the data acquisition server for recording equipment status information based on the monitored time series.

[0039] Exemplarily, the density sensor is a microwave detector, and the microwave detector includes a probe and a detection cavity. During the process of the cigarette passing through the detection cavity, the probe is used to scan the cigarette to monitor the tobacco density of the cigarette.

[0040] Exemplarily, the method further includes: monitoring the running speed of the cigarette making machine. When the running speed is greater than the set speed threshold, the monitoring data participates in the calculation of the warning algorithm.

[0041] Here, it should be noted that the above monitoring of tobacco density by the principle of microwave is an example, not a unique limitation.

[0042] Exemplarily, the method further includes at least one of the following steps:

[0043] Perform rendering processing on the position fluctuation data and draw a real-time display graph of the leveling plate fluctuation monitoring;

[0044] Classify the reject data to determine the reject type, and based on the reject type, perform rendering processing on the corresponding reject data to draw a real-time display graph of reject monitoring;

[0045] Push the warning records determined by the warning algorithm analysis to the information display screen, and track and record the subsequent on-site processing process and effects.

[0046] Exemplarily, for example, the real-time display graph of flattening disk fluctuation monitoring and the real-time display graph of reject monitoring can be displayed on a PC or a mobile terminal.

[0047] Exemplarily, the position fluctuation data and the reject data can be stored locally in the control system. When rendering, they are pushed to a PC or a mobile terminal and rendered on a pre-constructed H5 page.

[0048] Exemplarily, the method further includes: obtaining reject control parameters to compare and display them with the real-time display graph of reject monitoring, and judging the influence weight of the reject control parameters on the reject data.

[0049] The reject control parameters are, for example, parameters such as the softness and hardness of cigarette sticks.

[0050] In this embodiment, the rejects include situations such as cigarette sticks with air leakage, hollow, and too little re-cut tobacco at the ends.

[0051] Furthermore, when the above abnormalities are detected, abnormal alarm information can be generated and pushed to notify relevant personnel for subsequent maintenance, troubleshooting, etc.

[0052] Figure 2 This is a schematic structural diagram of an abnormal detection device for cigarette weight control according to an embodiment of the present application.

[0053] As Figure 2 shown, it includes:

[0054] A cigarette stick abnormality judgment unit 201, which is used to grab cigarette sticks with theoretically qualified weights inspected by the cigarette weight control system through an on-line cigarette stick sampling device, and perform actual weight detection on them through a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette stick is abnormal;

[0055] A cigarette stick abnormality troubleshooting unit 202, which is used to respond to the weight abnormality of the cigarette stick and perform at least one of the following steps:

[0056] In response to the weight abnormality of the cigarette stick, perform the following steps:

[0057] Obtain the relevant parameters set in the weight control system of the front-end cigarette making machine, where the parameters are used to convert the detected cigarette density into cigarette weight;

[0058] Judge whether the parameter is outside the set parameter threshold range. If it is, determine that the abnormal first monitoring parameter causes the abnormal weight of the cigarette;

[0059] Obtain the position fluctuation data of the leveling plate for cutting tobacco, and judge whether the position fluctuation of the leveling plate is abnormal during the process of cutting tobacco according to the position fluctuation data. If it is abnormal, determine that the position fluctuation of the leveling plate causes the abnormal weight of the cigarette;

[0060] Obtain the waste rejection data during the process of generating the cigarette, and judge whether the waste rejection function is abnormal during the process of cutting tobacco according to the waste rejection data. If it is abnormal, determine that the abnormal waste rejection causes the abnormal weight of the cigarette.

[0061] Optionally, the weight control system of the front-end cigarette making machine includes: a cigarette tobacco density sensor;

[0062] The device further includes: a data preprocessing unit, which is used to monitor the tobacco density of the cigarette based on the tobacco density sensor, generate tobacco density data, and store the tobacco density data into the data acquisition server for recording device status information based on the monitored time series.

[0063] Optionally, the density sensor is a microwave detector, and the microwave detector includes a probe and a detection cavity. During the process of the cigarette passing through the detection cavity, the probe is used to scan the cigarette to monitor the tobacco density of the cigarette.

[0064] Optionally, the device includes a speed monitoring enabling unit, which is used to monitor the running speed of the cigarette making machine. When the running speed is greater than the set speed threshold, the monitoring data participates in the early warning algorithm calculation.

[0065] Optionally, the device includes a probe starting unit, which is used to send a start signal to the probe to control the probe to emit rays towards the cigarette to monitor the tobacco density of the cigarette.

[0066] Optionally, the frequency of the ray is between 300 kHz and 300 GHz.

[0067] Optionally, the device further includes a rendering unit, which is used to perform at least one of the following steps:

[0068] Perform rendering processing on the position fluctuation data and draw a real-time display graph of the leveling plate fluctuation monitoring;

[0069] Classify the rejected product data, determine the type of rejected product, and based on the type of rejected product, perform rendering processing on the corresponding rejected product data to draw a real-time display graph of rejected product monitoring.

[0070] Optionally, the device further includes a control parameter acquisition unit for acquiring the control parameters for rejecting products, and comparing and displaying them with the real-time display graph of rejected product monitoring to determine the influence weight of the control parameters for rejecting products on the rejected product data.

[0071] Figure 3 This is a schematic structural diagram of an electronic device according to an embodiment of the present application. As Figure 3 shown, it includes a memory 301 and a processor 302. A computer-executable program is stored on the memory, and the processor is used to execute the computer-executable program to implement the following steps:

[0072] Use a cigarette online sampling device to grab cigarettes with a theoretical weight meeting the requirements after being inspected by the weight control system of the cigarette making machine, and perform actual weight detection on them through a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette is abnormal.

[0073] In response to the abnormal weight of the cigarette, perform the following steps:

[0074] Obtain the relevant parameters set in the weight control system of the front-end cigarette making machine, and the parameters are used to convert the detected cigarette density into cigarette weight.

[0075] Judge whether the parameter is outside the set parameter threshold range. If so, determine that the abnormality of the first monitoring parameter causes the abnormal weight of the cigarette.

[0076] Obtain the position fluctuation data of the leveling plate for reducing tobacco, and judge whether the position fluctuation of the leveling plate is abnormal during the process of reducing tobacco according to the position fluctuation data. If it is abnormal, determine that the position fluctuation of the leveling plate causes the abnormal weight of the cigarette.

[0077] Obtain the rejected product data during the process of generating the cigarette, and judge whether the rejected product function is abnormal during the process of reducing tobacco according to the rejected product data. If it is abnormal, determine that the abnormality of the rejected product causes the abnormal weight of the cigarette.

[0078] Figure 4 This is a schematic hardware structure diagram of an electronic device according to an embodiment of the present application. As Figure 4As shown, the electronic device may include: a processor 402, a communications interface 404, a memory 406, and a communication bus 408.

[0079] Wherein:

[0080] The processor 402, the communications interface 404, and the memory 406 communicate with each other through the communication bus 408.

[0081] The communications interface 404 is used to communicate with other electronic devices or servers.

[0082] The processor 402 is used to execute the program 410, and specifically may execute the relevant steps in the above-mentioned embodiment of the check code generation method.

[0083] Specifically, the program 410 may include program code, and the program code includes computer operation instructions.

[0084] The processor 402 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application. One or more processors included in the intelligent device may be of the same type of processor, such as one or more CPUs; or may be different types of processors, such as one or more CPUs and one or more ASICs.

[0085] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.

[0086] The program 410 is specifically used to cause the processor 402 to perform the following operations:

[0087] Use a cigarette online sampling device to grab cigarettes whose theoretical weight meets the requirements after being inspected by the weight control system of the cigarette making machine, and perform actual weight detection on them through a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette is abnormal;

[0088] In response to the abnormal weight of the cigarette, perform the following steps:

[0089] Obtain the relevant parameters set in the weight control system of the front-end cigarette making machine, and the parameters are used to convert the detected cigarette density into cigarette weight;

[0090] Determine whether the parameter is outside the set parameter threshold range. If it is, determine that the abnormality of the first monitoring parameter causes the abnormality of the weight of the cigarette;

[0091] Obtain the position fluctuation data of the leveling plate for cutting tobacco, and determine whether the position fluctuation of the leveling plate is abnormal during the process of cutting tobacco according to the position fluctuation data. If it is abnormal, determine that the position fluctuation of the leveling plate causes the abnormality of the weight of the cigarette;

[0092] Obtain the waste rejection data during the process of generating the cigarette, and determine whether the waste rejection function is abnormal during the process of cutting tobacco according to the waste rejection data. If it is abnormal, determine that the waste rejection abnormality causes the abnormality of the weight of the cigarette.

[0093] The embodiment of the present application also provides a computer program product, on which computer-executable instructions are stored, and running the computer-executable instructions to execute:

[0094] Use a cigarette on-line sampling device to grab cigarettes whose theoretical weight meets the requirements after being inspected by the weight control system of the cigarette making machine, and perform actual weight detection on them through a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette is abnormal;

[0095] In response to the abnormality of the weight of the cigarette, execute the following steps:

[0096] Obtain the relevant parameters set in the weight control system of the front-end cigarette making machine, and the parameters are used to convert the detected cigarette density into cigarette weight;

[0097] Determine whether the parameter is outside the set parameter threshold range. If it is, determine that the abnormality of the first monitoring parameter causes the abnormality of the weight of the cigarette;

[0098] Obtain the position fluctuation data of the leveling plate for cutting tobacco, and determine whether the position fluctuation of the leveling plate is abnormal during the process of cutting tobacco according to the position fluctuation data. If it is abnormal, determine that the position fluctuation of the leveling plate causes the abnormality of the weight of the cigarette;

[0099] Obtain the waste rejection data during the process of generating the cigarette, and determine whether the waste rejection function is abnormal during the process of cutting tobacco according to the waste rejection data. If it is abnormal, determine that the waste rejection abnormality causes the abnormality of the weight of the cigarette.

[0100] Thus far, specific embodiments of the present subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing may be advantageous.

[0101] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, commodity, or apparatus that includes the element.

[0102] The various embodiments in this specification are described in a progressive manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiments are generally similar to the method embodiments, so the description is relatively simple. For relevant parts, refer to the description of the method embodiments.

[0103] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. An abnormal detection method for weight control of a cigarette making machine, characterized in that, Including: Using a cigarette online sampling device to grab cigarettes whose theoretical weight meets the requirements after being inspected by the weight control system of the cigarette making machine, and performing actual weight detection on them through a weight sensor. If the detected actual weight does not match the set weight threshold, it indicates that the weight of the cigarette is abnormal; In response to the abnormal weight of the cigarette, the following steps are executed: Obtain relevant parameters set in the weight control system of the front-end cigarette making machine, and the parameters are used to convert the detected cigarette density into cigarette weight; Judge whether the parameter is outside the set parameter threshold range. If it is, determine that the abnormal parameter causes the abnormal weight of the cigarette; Obtain the position fluctuation data of the leveling plate for cutting tobacco, and judge whether the position fluctuation of the leveling plate is abnormal during the process of cutting tobacco according to the position fluctuation data. If it is abnormal, determine that the position fluctuation of the leveling plate causes the abnormal weight of the cigarette; Obtain the waste rejection data during the process of generating the cigarette, and judge whether the waste rejection function is abnormal during the process of cutting tobacco according to the waste rejection data. If it is abnormal, determine that the abnormal waste rejection function causes the abnormal weight of the cigarette; Wherein, the weight control system of the front-end cigarette making machine includes: a cigarette tobacco density sensor; The method further includes: based on the tobacco density sensor, monitoring the tobacco density of the cigarette, generating tobacco density data, and storing the tobacco density data into a data acquisition server for recording equipment status information based on the monitored time series.

2. The method according to claim 1, characterized in that The density sensor is a microwave detector, and the microwave detector includes a probe and a detection cavity. During the process of the cigarette passing through the detection cavity, the probe is used to scan the cigarette to monitor the tobacco density of the cigarette.

3. The method according to claim 2, wherein The method further includes: monitoring the running speed of the cigarette making machine. When the running speed of the cigarette making machine is greater than the set speed threshold, the running speed of the cigarette making machine participates in the early warning algorithm calculation.

4. The method according to claim 3, characterized in that, The method further includes the following steps: Performing rendering processing on the position fluctuation data to draw a real-time display graph of the leveling plate fluctuation monitoring; Classifying the waste rejection data to determine the waste rejection type, and based on the waste rejection type, performing rendering processing on the corresponding waste rejection data to draw a real-time display graph of the waste rejection monitoring; Pushing the early warning records determined by the early warning algorithm analysis to the information display screen, and tracking and recording the subsequent on-site processing process and effects.

5. The method according to claim 4, wherein The method further includes: obtaining waste rejection control parameters to compare and display them with the real-time display graph of the waste rejection monitoring, and judging the influence weight of the waste rejection control parameters on the waste rejection data.

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