Tailing slag crushing uniformity detection method for packaging box manufacturing

Abstract

The invention relates to the field of electric digital data processing, in particular to a method for detecting the crushing uniformity of tailing slag for manufacturing a packaging box, which comprises the following steps of: analyzing the total discharge quantity trend in unit time by collecting the weight data of a discharge port in real time so as to analyze the output quantity trend of the tailing slag in unit time and dynamically dividing a stable interval to be detected; and the amplitude of the screening machine is evaluated and adjusted based on the discharge amount of the upper layer in unit time in the to-be-detected interval to detect the uniformity of the tailings, so that the accuracy and production adaptability of a detection result of the uniformity of the tailings are improved.

Description

Technical Field

[0001] This application relates to the field of electronic digital data processing, and in particular to a method for detecting the uniformity of tailings slag crushing in packaging box manufacturing. Background Technology

[0002] In the current utilization of tailings slag for packaging box manufacturing, the uniformity of crushing directly affects the physical properties and production stability of the packaging boxes. However, existing testing technologies have significant limitations and are difficult to adapt to actual production needs. Traditional tailings slag uniformity testing relies heavily on screening equipment with fixed parameters, failing to consider the influence of the tailings slag's own characteristics and environmental differences (such as varying humidity). When the tailings slag has high humidity, it is prone to residue and agglomeration on the screen surface, leading to a large deviation between the actual output and the theoretical value, reducing the tailings slag recovery rate, and thus distorting the uniformity test results, failing to accurately reflect the true distribution of particles after crushing.

[0003] Meanwhile, existing methods often lack dynamic monitoring of the screening process. Most tests only weigh and classify the final product after screening, ignoring the weight change pattern at the discharge port per unit time. This makes it difficult to capture data during the transition from start-up to stable operation of the screening machine, resulting in an inability to accurately define the effective detection range and insufficient representativeness and reliability of the test results. Therefore, existing tailings slag uniformity testing methods rely on fixed-parameter screening equipment and do not consider differences in material characteristics (such as moisture content) and dynamic process monitoring, leading to particle agglomeration and data distortion during screening, which affects the physical properties of packaging boxes. Summary of the Invention

[0004] To improve the accuracy and production adaptability of tailings slag crushing uniformity testing results, this application provides a method for testing the uniformity of tailings slag crushing in packaging box manufacturing. The technical solution adopted is as follows: A method for detecting the uniformity of tailings slag crushing in packaging box manufacturing, characterized in that it includes: Real-time data collection of tailings weight at the inlet and outlet per unit time; The weight data collected from the discharge port are accumulated synchronously to obtain the total weight data of the tailings slag at the discharge port per unit time. The total weight data is divided into windows to obtain the number of data points in each window and the total number of windows; Based on the number of data points in each window and the total number of windows, the mean and standard deviation of the total weight data in each window are calculated to obtain the corresponding standard deviation sequence and mean sequence. Based on the standard deviation sequence and the mean sequence, the overall trend of the increase in total weight at the discharge port at the current moment as time increases is obtained; Based on the overall trend of change, the corresponding first test interval is obtained; Based on the weight data of each inlet and outlet in the first test interval per unit time, the upper layer discharge volume evaluation in the first test interval is obtained. Based on the evaluation of the upper discharge volume in the first test interval, the amplitude of the screening machine is adjusted and the evaluation of the upper discharge volume in the corresponding second test interval is obtained. If the evaluation of the upper layer discharge in the second test interval meets the preset evaluation standard, then the uniformity of the tailings is detected and the corresponding uniformity evaluation is output.

[0005] The formula for calculating the window's cutoff includes: Where T represents the window's cutoff condition, This represents the weight information of the i-th data point. Indicates the first Weight information of each data point. Indicates the first The weight information of each data point, where N represents the number of data points in the window. and These represent the difference between the current data and the previous data, and the difference between the current data and the next data, respectively. It represents the ratio of the difference between two adjacent values.

[0006] The formula for calculating the overall trend of the increase in total weight at the discharge port at the current moment as a function of time includes: Where E represents the evaluation of the overall trend of the increase in total weight at the discharge port over time up to the current moment, and n represents the total number of windows up to the current moment. This represents the average increase in total weight at the outlet of the i-th window. This represents the average increase in total weight at the outlet of the (i-1)th window. This represents the difference in the average total weight of two adjacent windows. This represents the summation of the average total weight of all two adjacent windows at the current time.

[0007] The first test interval obtained based on the overall change trend includes: Based on the overall trend of change, calculate the corresponding fluctuation evaluation value; If the fluctuation evaluation value is within the preset fluctuation value range, then mark the current window as a turning point window and record the time corresponding to the first data in the turning point window as the stable fluctuation time. The time from the start of data collection at the feed inlet of the screening machine to the time required for the total weight per unit time to begin to change and then to the time of stable fluctuation is recorded as the time range of the period to be measured. The time interval corresponding to the time range of the period to be tested is marked as the first test interval.

[0008] The formula for calculating the fluctuation evaluation value includes: Where P represents the fluctuation evaluation value, Indicates the first The average total weight is increased by increasing the discharge port of each window. Indicates the first The average total weight is increased by the number of outlets in each window. Indicates the first The standard deviation of each window This represents the maximum standard deviation across all windows. This represents the ratio of the average total weight of the previous window to the average total weight of the current window.

[0009] The calculation formula for evaluating the upper layer discharge volume includes: Where G represents the evaluation of the upper layer discharge volume, and b represents the total number of weight data points extracted within the test interval. This represents the ratio of the upper layer of tailings at the discharge port to the total weight at the discharge port in the weight data at time a. This represents the ratio of the amount of upper tailings discharged from the outlet to the total weight of the tailings at time a+1. It is the hyperbolic tangent function. This represents the difference between the ratio of the amount of upper tailings discharged from the outlet to the total weight of tailings at the previous moment and the current ratio. A positive value indicates an upward trend, a negative value indicates a downward trend, and a zero value indicates a stable trend. The sign of the value indicates the overall upward or downward trend. A positive value indicates an overall upward trend, a negative value indicates an overall downward trend, and a zero value indicates that the ratio sequence fluctuates symmetrically.

[0010] The calculation formula for adjusting the amplitude of the screening machine includes: Where H represents the adjusted amplitude, h represents the maximum allowable amplitude of the vibrating screen, G represents the upper discharge rate evaluation (a larger G value indicates a larger amplitude adjustment is needed), and A represents the current amplitude. The increase in amplitude is determined based on the evaluation of the upper layer discharge volume. The larger the upper layer discharge volume is evaluated, the larger the increase in amplitude, and vice versa.

[0011] The formula for calculating the uniformity detection includes: Where Z represents the uniformity of tailings slag within the test interval. This indicates the weight of tailings slag with the required particle size output within the test range. This represents the total weight of the processed output within the test interval. It represents the ratio of the weight of tailings slag that meets the packaging requirements discharged from the outlet in the test area to the total weight discharged.

[0012] This application has the following technical advantages: Compared with the prior art, this application does not require analysis of the characteristics of tailings, especially the moisture content of tailings. Instead, it directly analyzes the weight changes of each discharge port and the total weight changes of tailings per unit time. Based on the analysis results, the amplitude of tailings vibration is adjusted to make the tailings vibrate more fully, thereby improving the uniformity detection results of tailings. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating steps S1-S9 of the tailings slag crushing uniformity testing method used in this application for packaging box manufacturing. Detailed Implementation

[0014] It should be noted that the specific scenario addressed in this application is as follows: When tailings slag is crushed and then screened, the different characteristics of the tailings slag (such as humidity) will lead to different final measured recovery rates, thus affecting the uniformity test results of the tailings slag. For example, when tailings slag is screened, it is usually screened according to a fixed vibration amplitude, without considering the influence of the tailings slag's own characteristics and the differences in the environment (different humidity). When the tailings slag has high humidity, it is easy to leave residues and agglomerate on the screen surface, resulting in a large deviation between the actual output and the theoretical value, reducing the tailings slag recovery rate, and thus causing the uniformity test results of the tailings slag to be distorted, failing to accurately reflect the true distribution of particles after crushing.

[0015] This application discloses a method for detecting the uniformity of tailings slag crushing in packaging box manufacturing, referring to... Figure 1 ,include: S1. Real-time acquisition of tailings weight data at the feed inlet and discharge outlet per unit time.

[0016] It should be noted that the tailings slag after being crushed by the pulverizer needs to undergo multi-stage screening to obtain tailings slag of various particle size ranges. From the time the tailings slag enters the linear screen to the time it finishes screening, the high moisture content of the tailings slag may cause a large amount of tailings slag to remain on the screen, thus affecting the uniformity test of the tailings slag. At the same time, when tailings slag with high moisture content enters the screening machine for screening, the adhesion will cause the screening results and process to differ from the screening results and process under normal conditions. Therefore, it is necessary to monitor the changes in tailings slag discharge in real time to adjust the amplitude of the screening machine, so that the tailings slag that has been gathered together can be dispersed, making the screening of tailings slag more accurate, thereby improving the uniformity test results of tailings slag.

[0017] In one embodiment, weighing sensors are installed at each discharge port of the screening machine. The sampling frequency and start time of the weighing sensors are controlled to be the same, while the feed port is continuously fed without interruption. The weight increase every 0.5 seconds is collected and recorded as the tailings weight per unit time. Data from each weighing sensor is extracted every 0.5 seconds to obtain the tailings weight data at each discharge port and feed port every 0.5 seconds (periodic synchronous data acquisition). The acquisition frequency is 2 Hz (twice per second), and the acquired data is the increase in weight (the difference between the two weights). Based on this, the tailings weight data at the discharge port every 0.5 seconds is obtained. Simultaneously, the tailings weight data at the feed port is also collected. The weight of the fed material can be collected by weight sensors installed under the feed conveyor belt.

[0018] S2. The weight data collected from the discharge port is accumulated synchronously to obtain the total weight data of tailings slag at the discharge port per unit time.

[0019] It should be noted that screening machines usually have two or more discharge ports, and it is not possible to directly extract the total weight data of the discharge ports at each moment. Therefore, it is necessary to synchronously accumulate the data of each discharge port obtained at each moment to obtain the total weight increase of the discharge ports per unit time.

[0020] S3. Divide the total weight data into windows to obtain the number of data points in each window and the total number of windows.

[0021] It should be noted that in the initial stage of tailings screening, the tailings are screened on the screen surface and discharged from the corresponding outlet. However, because the screen surface is not completely filled with material, the total weight of tailings discharged from the outlet fluctuates significantly per unit time. Once the material distribution on the screen surface reaches dynamic equilibrium, the screening efficiency tends to stabilize. To address this, this application adds a total weight data segmentation window to the collected outlet data. To smooth the data and preserve its original characteristics, an adaptive window is used, which adaptively divides the window based on the difference between two adjacent points.

[0022] In one embodiment, the window is continuously divided according to the calculated cutoff condition; that is, one window is divided before the next window is started. Since it is necessary to retain the true information of the data, the larger the difference between two adjacent points, the smaller the window needs to be; conversely, the smaller the difference between two adjacent points, the larger the window needs to be. The window cutoff calculation formula is as follows: Where T represents the window's cutoff condition. This represents the weight information of the i-th data point. Indicates the first Weight information of each data point. Indicates the first The weight information of each data point, where N represents the number of data points in the window. When... , , If the data is in a certain condition, skip it and do not perform any calculations; proceed directly to the next data point for analysis. and These represent the difference between the current data and the previous data, and the difference between the current data and the next data, respectively. This represents the ratio of the differences between two adjacent data points. The closer the ratio is to 1, the more similar the changes of the I-th data point are to its two adjacent data points, indicating that there is no sudden increase or decrease. The sign of the value also reflects whether the I-th data point within a unit of time is a turning point. If it is positive, it is not a turning point; if it is negative, it is a turning point.

[0023] It should be noted that in order to preserve the data characteristics of sudden increases or decreases in weight data within a unit of time within the window, it is necessary to ensure... The closer it is to 1, the more data we extract, and the more we calculate the T value. Stop capturing at that time. This represents the maximum weight data within a unit of time within the window. This represents the minimum weight data within a unit of time within the window. When the collected weight data is an outlier, The value will decrease, and The overall value will increase, at which point the T value will decrease, and the condition will no longer be met. The first extraction will be to The data point is recorded as the last data point in the window, and the number of data points in the window at this time is the size of the window.

[0024] Furthermore, repeating the above operations yields the window size for each window and the number of windows detected in real time. Based on this, the number of data items contained in each window and the total number of windows are obtained. Note that the above is a function for splitting windows, and the window sizes may vary.

[0025] S4. Based on the number of data points in each window and the total number of windows, calculate the mean and standard deviation of the total weight data in each window to obtain the corresponding standard deviation sequence and mean sequence.

[0026] It should be noted that, based on the above window division method, the total number of weight data points contained in each window and the number of windows are obtained. The mean and standard deviation within each window are then calculated to obtain a set of standard deviation sequences and a set of mean sequences for subsequent trend analysis.

[0027] S5. Based on the standard deviation sequence and the mean sequence, obtain the overall trend of the increase in total weight at the discharge port at the current moment as time increases.

[0028] In one embodiment, during the initial stage of the screening machine's operation, the sign of the difference in the total weight increase at the outlets of all adjacent windows can reflect the overall trend of the total weight increase over time. A trend evaluation is constructed, and the calculation formula is as follows: Where E represents the evaluation of the overall trend of the increase in total weight at the discharge port over time up to the current moment, and n represents the total number of windows up to the current moment. This represents the average increase in total weight at the outlet of the i-th window. This represents the average increase in total weight at the outlet of the (i-1)th window. This represents the difference in the average total weight of two adjacent windows. This represents the summation of the total weights of all adjacent pairs of windows at the current moment. A positive E value indicates an upward trend in the total weight information at the discharge port; a negative E value suggests a potential machine malfunction, requiring feedback to staff for troubleshooting. The magnitude of the E value also reflects the degree of the upward or downward trend in the data. The larger the value, the more obvious the upward or downward trend of the increase in total weight at the discharge port over time.

[0029] Thus, the overall trend of the increase in total weight at the discharge port over time was initially obtained. If it is an upward trend, the next step of calculation is continued; if it is a downward trend, the feedback is given to the staff for troubleshooting.

[0030] S6. Based on the overall trend of change, the corresponding first test interval is obtained.

[0031] It should be noted that, based on the above preliminary results showing the overall trend of the increase in total weight at the discharge port over time, further analysis is conducted on the changes in the mean and standard deviation within the window to analyze the trend of the increase in total weight at the discharge port per unit time, thereby obtaining the test range of the linear screen motor.

[0032] In one embodiment, a volatility assessment is constructed. The closer the mean weight gain of adjacent windows is and the smaller the standard deviation, the smaller the corresponding volatility assessment value, and the more likely it is to be in a stable phase. Therefore, the calculation formula is as follows: Where P represents the fluctuation evaluation value, Indicates the first The average total weight is increased by increasing the discharge port of each window. Indicates the first The average total weight is increased by the number of outlets in each window. Indicates the first The standard deviation of each window This represents the maximum standard deviation across all windows. This represents the ratio of the average increase in total weight at the discharge port in the previous window to the average increase in total weight at the discharge port in the current window. The closer the ratio is to 1, the smaller the difference between the average values ​​of the two windows, and the more likely the increase in total weight at the discharge port is to be stabilizing. This represents the ratio of the standard deviation of the current window to the standard deviation of the largest window. The standard deviation reflects the data fluctuation within the window. A smaller value indicates less fluctuation in the data within that window. The smaller the value, the more important it is to ensure The changing trends are consistent, therefore... To standardize.

[0033] In one instance, a P-value closer to 1 indicates that the current window may be trending towards stability, while a P-value further away from 1 indicates greater volatility within the window, potentially indicating an increasing trend. Therefore, if the volatility evaluation value after a window falls within a preset volatility range, it signifies that the screening machine has entered a stable operating phase. The preset volatility range is a pre-defined threshold range corresponding to the volatility evaluation value when the screening machine enters a stable operating phase. For example, the preset volatility range might be... Then, this window is recorded as the turning point window, and the time corresponding to the first data in the window is recorded as the stable fluctuation time.

[0034] The time required for the total weight per unit time to begin changing and then stabilize is the time required for the screening machine to reach a stable operating state. Since the characteristics of tailings slag vary, the time required to reach a stable operating state also differs. Therefore, the time required for the screening machine to reach a stable fluctuation is defined as the time range of the test interval. That is, the period between the start of feeding and the time of stable fluctuation is the test interval, and this test interval is marked as the first test interval. Each test interval corresponds to a time range (the number of data points and sampling interval can be directly obtained) to facilitate subsequent collection of weight information from the outlet of the test interval within this time range.

[0035] S7. Based on the weight data of each inlet and outlet in the first test interval per unit time, obtain the evaluation of the upper layer discharge volume in the first test interval.

[0036] It should be noted that, based on the time range of the first test interval obtained above, the ratio of the top layer discharge volume to the total discharge volume per unit time within the test interval is analyzed, and its changing trend is analyzed. Based on the changing trend, it is analyzed whether the amplitude needs to be adjusted. The original amplitude of the vibrating screen may not be suitable for tailings slag in different states. Insufficient amplitude may cause tailings slag to clump together, or smaller tailings slag to adhere to larger tailings slag, leading to a decrease in screening accuracy and affecting the uniformity detection of tailings slag. Therefore, this application analyzes the ratio of the top layer tailings slag discharge volume to the total weight of tailings slag per unit time at the discharge port to analyze whether the amplitude of the vibrating screen needs to be adjusted.

[0037] In one embodiment, the smaller the difference between two adjacent points, the smaller the overall difference after summation, indicating less fluctuation and a smaller overall trend of change. Therefore, the upper layer discharge rate is evaluated using the following formula: Where G represents the evaluation of the upper layer output, and b represents the total number of weight data points extracted within the test interval, i.e., a total of b time periods are included. This represents the ratio of the amount of upper tailings discharged from the outlet to the total weight of the tailings at time a, based on the weight data at time a. This represents the ratio of the amount of upper tailings discharged from the outlet to the total weight of the tailings at time a+1. It is the hyperbolic tangent function. This represents the difference between the ratio of the amount of upper tailings discharged from the outlet to the total weight of tailings at the previous moment and the current ratio. A positive value indicates an upward trend, a negative value indicates a downward trend, and a zero value indicates a stable trend. Similarly, The sign of the value indicates the overall upward or downward trend. A positive value indicates an overall upward trend, a negative value indicates an overall downward trend, and a zero value indicates that the ratio sequence fluctuates symmetrically. Meanwhile, The larger the absolute value of the final result, the greater the volatility of the sequence, and the more drastic the upward or downward trend.

[0038] It needs to be further explained that, This indicates forced normalization, mapping the values ​​to a range of -1 to 1, reflecting the fluctuation of the values. When G > 0, it means that the ratio of the upper layer of tailings discharged from the outlet to the total weight of the tailings increases over time. The larger the G value, the more pronounced the upward trend. In this case, insufficient vibration of the screening machine may lead to incomplete screening of the tailings, requiring adjustment of the screening machine's amplitude. When G < 0, it means that the ratio of the upper layer of tailings discharged from the outlet to the total weight of the tailings decreases over time. The smaller the G value, the more pronounced the downward trend, indicating better tailings screening and more accurate tailings uniformity testing results, requiring no adjustment of the screening machine's amplitude. When the G value of the upper layer discharge is 0, it indicates that the tailings ratio exhibits stable fluctuations, also requiring no amplitude adjustment. Based on this, the upper discharge volume was evaluated, and the amplitude of the screening machine was analyzed based on the upper discharge volume evaluation.

[0039] S8. Based on the evaluation of the upper discharge volume in the first test interval, adjust the amplitude of the screening machine and obtain the evaluation of the upper discharge volume in the corresponding second test interval.

[0040] It should be noted that, based on the above evaluation of the upper discharge volume of the first test interval, the amplitude of the screening machine is adjusted within the allowable range of the vibration specifications of the vibrating screen according to the size of the upper discharge volume, so that the vibration of the vibrating screen is more in line with the characteristics of tailings slag, thereby improving the accuracy of tailings slag screening and making the final measured tailings slag uniformity result more accurate.

[0041] In one embodiment, the more obvious the upward trend of the upper discharge of the screening machine over time, the larger its upper discharge evaluation G value, and the greater the amplitude adjustment required. Conversely, the smaller the upper discharge evaluation G value, the less obvious the upward trend of the upper discharge. Therefore, the amplitude of the screening machine is adjusted based on the size of the upper discharge.

[0042] Specifically, the amplitude of the vibrating screen is adjusted within the allowable range of the screening machine's amplitude specifications. The higher the upper discharge evaluation, the larger the amplitude needs to be adjusted. A formula for the adjusted amplitude is constructed, and the calculation formula is as follows: Where H represents the adjusted amplitude, h represents the maximum amplitude allowed by the vibrating screen specifications, G represents the upper discharge volume evaluation, the larger the upper discharge volume evaluation G value, the greater the amplitude adjustment is required, and A represents the current amplitude. To increase the amplitude, the increase is determined based on the upper layer discharge volume evaluation. The larger the upper layer discharge volume evaluation, the larger the increase in amplitude, and vice versa. Based on this, the adjusted amplitude size is obtained.

[0043] Furthermore, based on the adjusted amplitude obtained above, the amplitude of the vibrating screen is adjusted, and based on the above steps S1-S7, the tailings slag is screened again to obtain a new test interval, namely the second test interval.

[0044] S9. If the evaluation of the upper layer discharge in the second test interval meets the preset evaluation standard, then the uniformity of the tailings is tested and the corresponding uniformity evaluation is output.

[0045] It should be noted that the preset evaluation standard is a threshold range corresponding to the upper discharge volume evaluation that meets the amplitude requirements of the screening machine. If the upper discharge volume evaluation G value of the second test interval meets the preset evaluation standard, for example, if the preset evaluation standard is that the upper discharge volume evaluation G value of the second test interval is less than or equal to 0, it means that the amplitude of the screener after adjustment meets the requirements, and the uniformity of the tailings slag is then tested. If the upper discharge volume evaluation G value continues to increase, it means that the adjusted amplitude is unreasonable and needs to be reported to the staff for troubleshooting. Because humidity can affect the vibration screening, the uniformity may be inaccurate, meaning that the screening is not complete.

[0046] In one embodiment, the higher the proportion of tailings that meet the requirements, the more uniform the particle size distribution of the tailings, and the fewer large and small pieces of tailings there are. This indicates higher screening accuracy and better uniformity of the tailings. The calculation formula for uniformity testing includes: Where Z represents the uniformity of tailings slag within the test interval. Indicates normalization, This indicates the weight of tailings slag with the required particle size output within the test range. This represents the total weight of the processed output within the test interval. The value of Z represents the ratio of the weight of tailings slag conforming to the packaging requirements discharged from the outlet in the test area to the total weight discharged. A larger ratio indicates better uniformity of the tailings slag, and vice versa. The magnitude of Z reflects the degree of uniformity of the tailings slag; a larger Z value indicates better uniformity, and a smaller Z value indicates worse uniformity. Based on this, a uniformity evaluation of the tailings slag is obtained.

[0047] Therefore, based on the results obtained above, the amplitude of the screening machine is adjusted, the adjusted amplitude is calculated, and the weight data of each discharge port and feed port per unit time in the first test interval are repeated to analyze whether the amplitude of the screening machine needs to be adjusted. The second test interval is obtained again, and the upper discharge quantity evaluation G value of the second test interval is analyzed to see if it meets the preset evaluation standard (the upper discharge quantity evaluation G value is less than or equal to 0). If it meets the requirements, the uniformity of the tailings is monitored in real time. The weight of the tailings in the test interval that meets the requirements for packaging box production is compared with the total weight of the tailings to obtain the uniformity evaluation of the tailings.

[0048] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for detecting the uniformity of tailings powder crushing for packaging box manufacturing, characterized in that, The application relates to a method for evaluating the uniformity of tailings, which comprises the following steps: Real-time acquisition of weight data of tailings at the feeding port and the discharging port per unit time; Synchronous accumulation of the weight data of the discharging port to obtain total weight data of the tailings at the discharging port per unit time; Window division of the total weight data to obtain the data number in each window and the total window number; Calculation of the mean value and the standard deviation of the total weight data in each window based on the data number in each window and the total window number to obtain a corresponding standard deviation sequence and a mean value sequence; Obtaining of the overall change trend of the total weight increase of the discharging port at the current moment with time based on the standard deviation sequence and the mean value sequence; Obtaining of a corresponding first test interval based on the overall change trend; Obtaining of the upper layer discharging amount evaluation in the first test interval based on the weight data of each feeding port and discharging port per unit time in the first test interval; Adjustment of the amplitude of the screening machine based on the upper layer discharging amount evaluation in the first test interval and obtaining of the upper layer discharging amount evaluation in a corresponding second test interval; If the upper layer discharging amount evaluation in the second test interval meets a preset evaluation standard, the uniformity of the tailings is detected and a corresponding uniformity evaluation is output.

2. The method for detecting the uniformity of tailings crushing for packaging box manufacturing according to claim 1, characterized in that, The calculation formula of the window cutoff comprises: wherein T represents a cut-off condition of the window, represents weight information of the first data, represents weight information of the first data, represents weight information of the first data, represents weight information of the first data, represents weight information of the first data, N represents the number of data in the window, respectively represent the difference between the current data and the previous data and the difference between the current data and the next data, respectively represent the difference between the current data and the previous data and the difference between the current data and the next data, represents the ratio of the two adjacent differences.

3. The method for detecting the uniformity of tailings crushing for packaging box manufacturing according to claim 1, characterized in that, The calculation formula of the overall change trend of the total weight increase of the discharging port at the current moment with time comprises: wherein E represents an evaluation of the overall trend of the total weight of the outlet increase up to the current time instant with respect to time, n represents the total number of windows up to the current time instant, represents the mean of the total weight of the outlet increase of the i-th window, represents the mean of the total weight of the outlet increase of the i-1-th window, represents the difference between the means of the total weight of the adjacent windows, represents the sum of the means of the total weight of all the adjacent windows at the current time instant.

4. The method for detecting the uniformity of tailings crushing for packaging box manufacturing according to claim 1, characterized in that, The first test interval corresponding to the overall change trend comprises: Calculation of a fluctuation evaluation value corresponding to the overall change trend; If the fluctuation evaluation value is in a preset fluctuation value interval, the current window is marked as a turning window, and the time corresponding to the first data in the turning window is recorded as a stable fluctuation time; The time required from the time when the total weight measured per unit time starts to change at the feeding port of the screening machine to the stable fluctuation time is recorded as the time range of the test period; The time interval corresponding to the time range of the test period is marked as the first test interval.

5. The method for detecting the uniformity of tailings crushing for packaging box manufacturing according to claim 4, wherein, The calculation formula of the fluctuation evaluation value comprises: where P represents a fluctuation evaluation value, represents the average of the total weight of the outlet of the first window, represents the average of the total weight of the outlet of the first window. represents the average of the total weight of the outlet of the first window, represents the maximum standard deviation among all windows, represents the ratio of the average of the total weight of the previous window to the average of the total weight of the current window.

6. The method for detecting the uniformity of tailings crushing for packaging box manufacturing according to claim 1, wherein, The calculation formula of the upper layer discharging amount evaluation comprises: G represents the upper layer discharge amount evaluation, b represents the total number of weight data extracted in the interval to be measured, represents the ratio of the upper layer tailings to the total weight of the discharge port in the weight data at the a-th moment, represents the ratio of the upper layer tailings discharge amount to the total weight of the tailings in the weight data at the a+1-th moment, is a hyperbolic tangent function, represents the difference between the ratio of the upper layer tailings discharge amount to the total weight of the tailings of the discharge port at the previous moment and the current ratio, if positive, it indicates an upward trend, if negative, it indicates a downward trend, and if zero, it indicates a stable trend, the positive and negative of the ratio sequence represent the overall upward and downward trends, if positive, it indicates an overall upward trend, if negative, it indicates an overall downward trend, and if zero, it indicates that the ratio sequence presents symmetric fluctuation.

7. The method for detecting the uniformity of tailings crushing for packaging box manufacturing according to claim 1, wherein, The calculation formula of the adjustment of the amplitude of the screening machine comprises: Wherein, H represents the amplitude size after adjustment, h represents the maximum amplitude allowed by the specification of the vibrating screen, G represents the upper layer discharge amount evaluation, the greater the upper layer discharge amount evaluation G value, the greater the amplitude adjustment range required, A represents the size of the current amplitude, For the increased amplitude, based on the upper layer discharge amount evaluation, the increase range is determined, and the greater the upper layer discharge amount evaluation, the greater the increased amplitude, and vice versa.

8. The method for detecting the uniformity of tailings crushing for packaging box manufacturing according to claim 1, wherein, The calculation formula of the uniformity detection comprises: Z represents the uniformity of the tailings in the interval to be measured, Z represents the weight of the tailings of the required particle size output in the interval to be measured, Z represents the total weight of the processed output in the interval to be measured, Z represents the ratio of the weight of the tailings of the required packaging box production discharged from the discharge port to the total weight of the discharge in the interval to be measured.

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