Raw material mixing quality management and control system and method for degradable packaging bag production

Abstract

The invention relates to the technical field of packaging bag production, in particular to a raw material mixing quality management and control system and method for degradable packaging bag production, and the system comprises a raw material preparation module, mixing equipment, a parameter monitoring module, a data processing module, an automatic sampling module, a quality detection module and a quality management module. The quality management module is electrically connected with the raw material preparation module, the mixing equipment, the parameter monitoring module, the data processing module, the automatic sampling module and the quality detection module; through cooperation of the raw material preparation module, the parameter monitoring module, the data processing module, the automatic sampling module, the quality detection module and the quality management module, the raw materials of the degradable packaging bag can be automatically monitored and detected, and the quality problem in the mixing process can be found and solved in time; the influence of subjective factors of manual operation and observation is reduced, the evaluation of the mixing quality is more accurate and reliable, and the efficiency and informatization level of production management are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of packaging bag production, and in particular relates to a raw material mixing quality control system and method for producing degradable packaging bags. Background Art

[0002] Degradable packaging bags are gradually replacing traditional plastic bags as an environmentally friendly alternative. The main raw materials for degradable packaging bags include bio-based polymers, such as polylactic acid, which are usually obtained from starch-rich crops (such as corn starch, sugarcane or potatoes) through fermentation and polymerization reactions. In the production process of degradable packaging bags, the mixing of raw materials is one of the key links. The quality of mixing directly affects the performance of the final product, so quality control operations on raw materials are required in the raw material mixing process.

[0003] At present, the quality control method for the production of biodegradable packaging bags is usually as follows: first, according to production needs, different types of raw materials are prepared in a certain proportion and sent to the mixing equipment, and then the temperature, humidity, mixing time and other parameters in the mixing process are monitored through the sensors provided by the mixing equipment or manual observation. During or after the mixing process, samples are taken from the mixed materials and tested with testing equipment to evaluate the mixing quality. Finally, the test results are recorded and entered into the quality management system for analysis and comparison to ensure that the mixing quality meets the production requirements.

[0004] However, since the above-mentioned control methods mainly rely on manual labor and traditional testing equipment, and manual operation and observation are easily affected by subjective factors, resulting in inaccurate monitoring and testing results, thus affecting the quality of packaging bag production. Therefore, we need to propose a raw material mixing quality control system and method for the production of degradable packaging bags to solve the above-mentioned problems, so that it can automatically and accurately evaluate the parameters of the mixed raw materials and improve the production quality of packaging bags. Summary of the invention

[0005] In view of the above problems, the present invention provides a raw material mixing quality control system for the production of degradable packaging bags, comprising:

[0006] A raw material preparation module, which, after receiving the production plan instruction, selects the corresponding raw materials from the raw material storage area according to the instruction, performs metering and weighing, and then directly delivers the prepared raw materials to the feed port of the mixing equipment;

[0007] A mixing device, wherein the mixing device is used to mix the prepared raw materials;

[0008] A parameter monitoring module, which monitors key parameters of the mixing device during the mixing process in real time, including temperature, humidity and mixing time;

[0009] A data processing module processes and analyzes the collected key parameter data, evaluates the mixing quality according to the preset quality standards, and generates a quality evaluation report based on the test results transmitted by the quality detection module;

[0010] An automatic sampling module, which automatically samples from a designated position in the mixing device according to preset rules and time points, and then delivers the sample to a sample inlet of the quality detection module;

[0011] A quality inspection module, which performs a comprehensive inspection on the samples taken out by the automatic sampling module to obtain the physical and chemical performance indicators of the mixed material;

[0012] A quality management module, which analyzes and summarizes historical data to find problems or points that can be optimized in the production process, and sends adjustment suggestions or instructions to other modules through control lines or networks to achieve feedback control of the production process to optimize subsequent production operations;

[0013] The quality management module is electrically connected to the raw material preparation module, the mixing equipment, the parameter monitoring module, the data processing module, the automatic sampling module and the quality detection module respectively; the parameter monitoring module and the quality detection module are both electrically connected to the data processing module; the data processing module is electrically connected to the automatic sampling module; and the automatic sampling module is electrically connected to the quality detection module.

[0014] Furthermore, the raw material preparation module includes an instruction receiving unit, a raw material storage unit, a raw material selection device, a metering and weighing device, and a conveying device. The instruction receiving unit receives production plan instructions through a communication interface connected to the production management system to obtain information on the type, proportion and quantity of required raw materials; the raw material storage unit stores the raw materials required for the production of various degradable packaging bags through storage racks and storage tanks; the raw material selection device selects corresponding raw materials from the raw material storage unit through a robotic arm or automatic sorting equipment based on the information obtained by the instruction receiving unit; the metering and weighing device measures and weighs the selected raw materials through an electronic scale and a flow meter to ensure that the amount of the raw materials meets production requirements; the conveying equipment conveys the metered and weighed raw materials to the feed port of the mixing device through a mechanical transmission device.

[0015] Furthermore, the parameter monitoring module is mainly composed of a temperature sensor, a humidity sensor, a timer, a data processor and a data transmission device. The temperature sensor, the humidity sensor and the timer are all electrically connected to the data processor, and the data processor is electrically connected to the data transmission device.

[0016] Furthermore, the process of the parameter monitoring module performing parameter monitoring on the temperature, humidity and mixing time of the mixing device is as follows:

[0017] B1. Set the sampling frequency of temperature sensor and humidity sensor according to actual production requirements;

[0018] B2. When the mixing device is started, the temperature sensor and humidity sensor collect the temperature and humidity data of the mixing device according to the set sampling frequency, and the timer starts timing;

[0019] B3, the data processor receives the temperature and humidity data, and converts the analog electrical signal output by the sensor into a digital signal through an analog-to-digital converter;

[0020] B4. Perform preliminary filtering on the converted digital signal to obtain filtered data. The filtering formula is as follows:

[0021] Among them, x is the filtered data, n is the number of samples, x i To collect the i-th sampling data;

[0022] B5. Read the time data recorded by the timer, and merge the time data with the filtered temperature data and the filtered humidity data to form a data packet containing temperature, humidity and time data;

[0023] B6. The data packet is transmitted to the data processing module through the data transmission device, and the header of the transmitted data packet is checked to confirm the accuracy of the data packet transmission. The verification formula is as follows:

[0024] Where Header[j] is the jth byte of the packet header, k is the number of bytes in the packet header, and C is the header-verified data. If the header-verified data is the same as the actual packet header data, it means that there is no abnormality in the packet transmission. Otherwise, it means that there is an abnormality in the packet transmission and the packet needs to be retransmitted and verified.

[0025] Furthermore, the data processing module processes and analyzes data as follows:

[0026] C11, verify the integrity of the data transmitted by the parameter monitoring module and the quality detection module. If the verification passes, enter C12. If the verification fails, send an instruction to the parameter monitoring module or the quality detection module to retransmit the data;

[0027] C12. Identify abnormal data and erroneous data in the data based on normal distribution, and replace the abnormal values ​​and erroneous data with the mean;

[0028] C13. Determine whether the data is repeated by comparing the key features of the data. If duplicate data appears, delete the duplicate data.

[0029] C14. Normalize the processed data to convert data of different ranges and dimensions into a unified interval;

[0030] C15. Use sliding window algorithm to analyze the changing trend of temperature and humidity over time for temperature and humidity data;

[0031] C16. Calculate the influence weights between temperature and mixing quality and between humidity and mixing quality according to the temperature change trend and humidity change trend. The calculation formula is as follows:

[0032]

[0033] Among them, d i is the rank difference between the temperature and mixing quality variables, m is the number of samples, and w T is the temperature influence weight, d j is the rank difference between the temperature and mixing quality variables, w h The weight for humidity effect;

[0034] C17. Divide the mixing time into different time periods, count the quality indicators of the products in each time period, and observe the influence trend of mixing time on product quality;

[0035] C18. Evaluate individual indicators based on the impact trend of mixing time on product quality and the temperature and humidity trend change curves.

[0036] Furthermore, the process of generating a quality assessment report by the data processing module is as follows:

[0037] C21. Weighted sum of the impact scores of temperature, humidity, mixing time and performance indicators to obtain the final mixing quality evaluation score. The calculation formula is as follows:

[0038] S tol =w T *S T +w h *S h +w m *S m +w p *S p , where S tol is the final mixed quality assessment score, w T is the temperature influence weight, S T is the temperature impact score, w h is the humidity impact weight, S h S is the humidity impact score, m is the time impact score, w m is the time impact weight, S pis the performance index impact score, w p Influence weights for performance indicators;

[0039] C22. According to the final mixed quality evaluation score and the preset grade standard, judge whether the mixed quality is qualified and give the corresponding conclusion;

[0040] C23. Generate a quality assessment report based on the quality assessment results. The content of the quality assessment report includes the summary statistics of the data, the quality assessment conclusions, the detailed analysis results of each indicator, the existing problems and suggestions for improvement;

[0041] C24. Store the intermediate data during the processing and the final quality assessment report in the database or file system.

[0042] Furthermore, the process of automatic sampling by the automatic sampling module is as follows:

[0043] D1. The control unit reads the preset rules and time point parameters, initializes the sampling and positioning mobile unit, and detects that the valve status and pipeline connection of the conveying unit are in normal status;

[0044] D2, real-time monitoring of mixing time, and judging whether the sampling time point has been reached according to preset rules;

[0045] D3. When the sampling time point is reached, the control unit calculates the distance and path that the sampling positioning mobile unit needs to move according to the preset sampling position coordinates, and moves the sampling execution unit to the specified position through the sampling positioning mobile unit. The calculation formula for the moving distance is as follows:

[0046] Among them, M d is the distance to be moved, (x 0 ,y 0 ,z 0 ) is the current position coordinate of the sampling execution unit, (x d ,y d ,z d ) is the preset sampling position coordinate of the sampling execution unit;

[0047] D4. When the sampling execution unit reaches the designated position, the sampling execution unit performs sampling operation according to the set sampling amount;

[0048] D5. After sampling is completed, the sample is transferred to the sample inlet of the quality inspection module through the conveying unit.

[0049] Furthermore, the quality inspection module inspects the sample taken out including physical property inspection and chemical property inspection. The process of physical property inspection is as follows:

[0050] E11. Collect appearance feature images of the sample’s color, shape and surface smoothness through a camera;

[0051] E12. Compare and analyze the collected appearance feature image with the standard feature image, and calculate the difference between the appearance feature image and the standard feature image. The difference calculation formula is as follows:

[0052] Among them, MSE is the difference between the appearance feature image and the standard feature image, NO is the image size N*O, I(x 1 ,y 1 ) is the standard feature image at coordinate (x 1 ,y 1 ), J(x 1 ,y 1 ) is the appearance feature image to be detected at coordinate x 1 ,y 1 ) at the pixel value;

[0053] E13. Use a laser particle size analyzer to measure the size of sample particles based on the principle of laser scattering;

[0054] E14. Use a densitometer to measure the density of the sample;

[0055] E15. Integrate the density, particle size and appearance characteristics of the sample, and transmit the integrated performance to the data processing module.

[0056] Furthermore, the process of the quality management module sending high-speed suggestions or instructions to other modules is as follows:

[0057] F1. Establish a data analysis model based on data characteristics and analysis purposes. The data analysis model is set to be one of the statistical analysis model, correlation analysis model and regression analysis model;

[0058] F2. Set standard thresholds for various indicators according to production requirements and quality standards, then compare the actual data with the set thresholds to identify data points that are out of range or do not meet the requirements and regard them as abnormal data;

[0059] F3. Analyze the possible causes based on the abnormal data, and propose specific adjustment suggestions and optimization plans based on the cause analysis results;

[0060] F4. Use risk assessment to evaluate the feasibility and predict the effect of the proposed optimization plan, and determine the final optimization plan;

[0061] F5. Convert the final optimization plan into an executable instruction format and send the instructions to the corresponding production module through the control line.

[0062] Based on the above-described raw material mixing quality control system for producing degradable packaging bags, the present invention also provides a raw material mixing quality control method for producing degradable packaging bags, comprising the following steps:

[0063] S1. After receiving the production plan, the raw material preparation module prepares raw materials of different types and proportions according to the instructions of the production plan and transports them to the mixing equipment;

[0064] S2, the mixing equipment performs a mixing operation, monitors the parameter data of temperature, humidity and mixing time in the mixing process in real time through the parameter monitoring module, and transmits the parameter data to the data processing module;

[0065] S3, the data processing module processes and analyzes the parameter data, calculates the deviation between the actual parameter and the standard parameter, and determines whether the mixed quality meets the sampling requirements; if the mixed quality meets the sampling requirements, a sampling instruction is sent to the automatic sampling module;

[0066] S4, the automatic sampling module takes samples from the mixed material according to the instructions and transports the samples to the quality inspection module;

[0067] S5. Perform physical and chemical property tests on the samples through the quality inspection module, record the test results and transmit them to the data processing module;

[0068] S6, the data processing module integrates the parameter data and the test results to generate a more accurate quality assessment report and transmits it to the quality management module;

[0069] S7, the quality management module records and stores quality data, performs data analysis and quality traceability, and provides suggestions for optimizing the production process.

[0070] The beneficial effects of the present invention are:

[0071] 1. The present invention can automatically monitor and detect the raw materials of the degradable packaging bag through the cooperation of the raw material preparation module, the parameter monitoring module, the data processing module, the automatic sampling module, the quality detection module and the quality management module, and can also timely discover and solve quality problems in the mixing process, reduce the influence of subjective factors of manual operation and observation, make the evaluation of mixing quality more accurate and reliable, and improve the efficiency of production management and the level of informatization.

[0072] 2. The present invention provides a basis for optimizing the production process by analyzing and summarizing the quality data, such as adjusting the raw material ratio, optimizing mixing parameters, etc., to improve production efficiency and the stability of product quality.

[0073] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0075] Figure 1 A system block diagram of a raw material mixing quality control system according to an embodiment of the present invention is shown;

[0076] Figure 2 A flowchart of parameter monitoring of temperature, humidity and mixing time of a mixing device according to an embodiment of the present invention is shown;

[0077] Figure 3 A flowchart of automatic sampling by an automatic sampling module according to an embodiment of the present invention is shown;

[0078] Figure 4 A flowchart of the physical property detection of a sample according to an embodiment of the present invention is shown;

[0079] Figure 5 A flowchart showing a quality management module sending high-speed suggestions or instructions to other modules according to an embodiment of the present invention is shown;

[0080] Figure 6 A flow chart of a raw material mixing quality control method according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0081] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0082] The embodiment of the present invention provides a raw material mixing quality control system for producing degradable packaging bags, such as Figure 1-5As shown, it includes a raw material preparation module, a mixing device, a parameter monitoring module, a data processing module, an automatic sampling module, a quality detection module and a quality management module. The quality management module is electrically connected to the raw material preparation module, the mixing device, the parameter monitoring module, the data processing module, the automatic sampling module and the quality detection module respectively. The parameter monitoring module and the quality detection module are both electrically connected to the data processing module, the data processing module is electrically connected to the automatic sampling module, and the automatic sampling module is electrically connected to the quality detection module.

[0083] After receiving the production plan instruction, the raw material preparation module selects the corresponding raw materials from the raw material storage area according to the instruction, and after metering and weighing, the prepared raw materials are directly transported to the feed port of the mixing equipment through a conveying pipeline, a conveyor belt or other mechanical transmission device, so as to realize the connection from the raw material preparation link to the mixing link;

[0084] The raw material preparation module includes an instruction receiving unit, a raw material storage unit, a raw material selection device, a metering and weighing device, and a conveying device. The instruction receiving unit receives production plan instructions through a communication interface connected to the production management system to obtain information on the type, proportion and quantity of required raw materials; the raw material storage unit stores the raw materials required for the production of various degradable packaging bags through storage racks and storage tanks; the raw material selection device selects corresponding raw materials from the raw material storage unit through a robotic arm or automatic sorting equipment based on the information obtained by the instruction receiving unit; the metering and weighing device measures and weighs the selected raw materials through an electronic scale and a flow meter to ensure that the amount of the raw materials meets the production requirements; the conveying equipment conveys the metered and weighed raw materials to the feed port of the mixing device through a mechanical transmission device, wherein the mechanical transmission device includes a conveying pipe and a conveyor belt.

[0085] The raw material preparation module includes the following steps when preparing various raw materials:

[0086] A1. Receive production plan instructions from the production management system and obtain detailed information on the types, proportions and quantities of required raw materials;

[0087] A2. According to the detailed information of the required raw materials, the solid raw materials are grabbed by the robotic arm according to the preset coordinate position by the raw material packaging on the storage rack, and the liquid raw material automatic sorting equipment extracts the corresponding amount of liquid raw materials from the storage tank according to the instructions;

[0088] A3. Weigh the solid raw materials with an electronic scale and measure the flow rate of the liquid raw materials with a flow meter to ensure that the amount of raw materials meets the production requirements;

[0089] A4. The weighed and measured solid raw materials and liquid raw materials are transported to the feed inlet of the mixing equipment through the conveying equipment, completing the connection between the raw materials preparation stage and the mixing stage.

[0090] The mixing device is used to mix the prepared raw materials. The mixing device includes a mixing container, an agitator located in the mixing container, and a mixing controller for controlling the stirring speed and stirring time of the agitator. The raw materials prepared by the raw material preparation module are added to the mixing container, and the agitator is started by the mixing controller to mix and stir the raw materials so that the raw materials are mixed evenly.

[0091] The parameter monitoring module monitors the key parameters of the mixing equipment in the mixing process in real time, including temperature, humidity and mixing time, providing a reliable data source for raw material mixing quality assessment and avoiding subjective errors caused by manual monitoring;

[0092] The parameter monitoring module is mainly composed of a temperature sensor, a humidity sensor, a timer, a data processor and a data transmission device. The temperature sensor, the humidity sensor and the timer are all electrically connected to the data processor, and the data processor is electrically connected to the data transmission device. The temperature sensor and the humidity sensor are installed in the mixing device at a position where the temperature and humidity of the mixing area can be accurately measured. The temperature and humidity in the mixing device are sensed in real time by the temperature sensor and the humidity sensor, and the temperature signal and the humidity signal are converted into electrical signals and transmitted to the data processor. The timer is electrically connected to the mixing device so that the timer can start timing when the mixing device starts and end timing when it stops. The mixing time of the mixing device is accurately recorded by the timer, and then the mixing time is transmitted to the data processor. The mixing time is the time from the start to the stop of the mixing device; the data processor collects the temperature, humidity and mixing time signals and performs data processing and conversion, and transmits the converted data to the data processing module through the data transmission device for processing and analysis.

[0093] The process of the parameter monitoring module for monitoring the temperature, humidity and mixing time of the mixing equipment is as follows:

[0094] B1. Set the sampling frequency of the temperature sensor and humidity sensor according to actual production requirements, such as sampling once every 1 second;

[0095] B2. When the mixing device is started, the temperature sensor and humidity sensor collect the temperature and humidity data of the mixing device according to the set sampling frequency, and the timer starts timing;

[0096] B3, the data processor receives the temperature and humidity data, and converts the analog electrical signal output by the sensor into a digital signal through an analog-to-digital converter;

[0097] B4. Perform preliminary filtering on the converted digital signal to obtain filtered data. The filtering formula is as follows:

[0098] Among them, x is the filtered data, n is the number of samples, x i To collect the i-th sampling data;

[0099] B5. Read the time data recorded by the timer, and merge the time data with the filtered temperature data and the filtered humidity data to form a data packet containing temperature, humidity and time data;

[0100] B6. The data packet is transmitted to the data processing module through the data transmission device, and the header of the transmitted data packet is checked to confirm the accuracy of the data packet transmission. The verification formula is as follows:

[0101] Where Header[j] is the jth byte of the packet header, k is the number of bytes in the packet header, and C is the header-verified data. If the header-verified data is the same as the actual packet header data, it means that there is no abnormality in the packet transmission. Otherwise, it means that there is an abnormality in the packet transmission and the packet needs to be retransmitted and verified.

[0102] The data processing module processes and analyzes the collected key parameter data, and evaluates the mixing quality according to the preset quality standards, so as to find problems in time, and integrates the test results transmitted by the quality detection module to conduct a more comprehensive and accurate quality evaluation and generate a quality evaluation report;

[0103] The data processing module processes and analyzes data as follows:

[0104] C11, verify the integrity of the data transmitted by the parameter monitoring module and the quality detection module. If the verification passes, enter C12. If the verification fails, send an instruction to the parameter monitoring module or the quality detection module to retransmit the data;

[0105] The process of verifying the integrity of received data is as follows: extract header information from the received data frame, find the field representing the frame length as the standard frame length according to the frame format specified by the communication protocol, count the actual length of the received data frame, and compare whether the actual length is consistent with the standard frame length. If the actual length is consistent with the standard frame length, the verification is determined to be successful. If the actual length is inconsistent with the standard frame length, the verification is determined to be unsuccessful.

[0106] C12. Identify abnormal data and erroneous data in the data based on normal distribution, and replace the abnormal values ​​and erroneous data with the mean;

[0107] C13. Determine whether the data is repeated by comparing the key features of the data. If duplicate data appears, delete the duplicate data.

[0108] C14. Normalize the processed data to convert data of different ranges and dimensions into a unified interval;

[0109] C15. Use sliding window algorithm to analyze the changing trend of temperature and humidity over time for temperature and humidity data, that is, set a sliding window of size M, calculate the mean of the data in window M, and obtain the trend curve of temperature and humidity as the window slides. By observing the trend curve, it can be judged whether the temperature and humidity are stable during the mixing process;

[0110] C16. Calculate the influence weights between temperature and mixing quality and between humidity and mixing quality according to the temperature change trend and humidity change trend. The calculation formula is as follows:

[0111]

[0112] Among them, d i is the rank difference between the temperature and mixing quality variables, m is the number of samples, and w T is the temperature influence weight, d j is the rank difference between the temperature and mixing quality variables, w h The weight for humidity effect;

[0113] C17. Divide the mixing time into different time periods, count the quality indicators of the products in each time period, and observe the influence trend of mixing time on product quality;

[0114] C18. Evaluate single indicators based on the influence trend of mixing time on product quality and the temperature and humidity trend change curves;

[0115] The content of single indicator evaluation includes temperature indicator, humidity indicator and mixing time indicator. For temperature indicator, the degree of deviation between actual temperature and standard temperature is calculated according to the preset temperature range. If the actual temperature is less than the minimum value of the preset temperature range, the deviation value is the value of the preset temperature minimum minus the actual temperature. If the actual temperature is greater than the maximum value of the predicted temperature range, the deviation value is the value of the actual temperature minus the maximum predicted temperature. According to the size of the deviation value and the weight of the influence of the preset temperature on the quality, the score of the temperature indicator is calculated. The calculation formula is S=100-aΔT, where a is the temperature deviation score coefficient, ranging from 0 to 1, and ΔT is the temperature deviation value; the humidity indicator evaluation principle and the mixing time indicator evaluation principle are similar to the temperature indicator evaluation principle, and will not be repeated here.

[0116] The process of generating a quality assessment report by the data processing module is as follows:

[0117] C21. Weighted sum of the impact scores of temperature, humidity, mixing time and performance indicators to obtain the final mixing quality evaluation score. The calculation formula is as follows:

[0118] S tol =w T *S t +w h *S h +w m *S m +w p *S p , where S tol is the final mixed quality assessment score, w T is the temperature influence weight, S T is the temperature impact score, w h is the humidity impact weight, S h S is the humidity impact score, m is the time impact score, w m is the time impact weight, S p is the performance index impact score, w p Influence weights for performance indicators;

[0119] C22. According to the final mixed quality evaluation score and the preset grade standard, judge whether the mixed quality is qualified and give the corresponding conclusion;

[0120] C23. Generate a quality assessment report based on the quality assessment results. The content of the quality assessment report includes the summary statistics of data, quality assessment conclusions, detailed analysis results of various indicators, existing problems and suggestions for improvement, which provides strong support for production decisions and helps to improve production efficiency and product quality;

[0121] C24. Store the intermediate data in the processing process and the final quality assessment report in the database or file system for subsequent query and analysis. When quality problems occur, you can quickly find relevant data, analyze the root cause of the problem, and take appropriate corrective measures.

[0122] The automatic sampling module automatically samples from a designated position in the mixing device according to preset rules and time points, and then delivers the sample to the sample inlet of the quality inspection module, so that the sample can enter the quality inspection module for mixing quality inspection, thereby ensuring the quality of raw material mixing and avoiding the randomness and error of manual sampling;

[0123] The automatic sampling module includes a sampling execution unit, a sampling positioning moving unit, a conveying unit and a control unit. The control unit is electrically connected to the sampling execution unit, the sampling positioning moving unit and the conveying unit respectively. The sampling execution unit obtains samples from the mixing device through a sampling probe. The sampling probe is designed according to the characteristics of the mixing device and the sampling position to ensure that the sampling probe can accurately collect representative samples; the sampling positioning moving unit accurately moves the sampling execution unit to the designated sampling position in the mixing device. The sampling positioning moving unit is mainly composed of a motor, a guide rail, a slider and an encoder. The slider is threadedly connected to the screw rod. The motor drives the screw rod to rotate, so that the slider moves horizontally on the guide rail, so that the slider can drive the sampling execution unit to move its position, and the encoder is used to accurately measure the distance and position of the slider movement;

[0124] The conveying unit conveys the obtained sample from the sampling position to the sample inlet of the quality inspection module. The conveying unit is mainly composed of a conveying pump, a pipeline and a valve. The valve is installed on the pipeline. The valve at the quality inspection module is opened, and the sample is conveyed from the pipeline to the quality inspection module through the conveying pump; the control unit sends control instructions to the sampling execution unit and the sampling positioning mobile unit according to preset rules and time points to ensure that they can automatically sample from the designated position in the mixing device according to the preset rules and time points.

[0125] The process of automatic sampling by the automatic sampling module is as follows:

[0126] D1. The control unit reads the preset rules and time point parameters, initializes the sampling and positioning mobile unit, and detects that the valve status and pipeline connection of the conveying unit are in normal status;

[0127] D2, real-time monitoring of mixing time, and judging whether the sampling time point has been reached according to preset rules;

[0128] D3. When the sampling time point is reached, the control unit calculates the distance and path that the sampling positioning mobile unit needs to move according to the preset sampling position coordinates, and moves the sampling execution unit to the specified position through the sampling positioning mobile unit. The calculation formula for the moving distance is as follows:

[0129] Among them, M d is the distance to be moved, (x 0 ,y 0 ,z 0 ) is the current position coordinate of the sampling execution unit, (x d ,y d ,z d ) is the preset sampling position coordinate of the sampling execution unit;

[0130] D4. When the sampling execution unit reaches the designated position, the sampling execution unit performs sampling operation according to the set sampling amount;

[0131] D5. After sampling is completed, the sample is transferred to the sample inlet of the quality inspection module through the conveying unit.

[0132] The quality inspection module performs a comprehensive inspection on the samples taken out by the automatic sampling module to obtain the physical and chemical performance indicators of the mixed materials, providing a more detailed basis for quality assessment;

[0133] The quality inspection module performs physical and chemical property inspections on the samples taken out. The process of physical property inspection is as follows:

[0134] E11. Collect appearance feature images of the sample’s color, shape and surface smoothness through a camera;

[0135] E12. Compare and analyze the collected appearance feature image with the standard feature image, and calculate the difference between the appearance feature image and the standard feature image. The difference calculation formula is as follows:

[0136] Among them, MSE is the difference between the appearance feature image and the standard feature image, NO is the image size N*O, I(x 1 ,y 1 ) is the standard feature image at coordinate (x 1 ,y 1 ), J(x 1 ,y 1 ) is the appearance feature image to be detected at coordinate x 1 ,y 1 ) at the pixel value;

[0137] E13. Use a laser particle size analyzer to measure the size of sample particles based on the principle of laser scattering;

[0138] E14. Use a densitometer to measure the density of the sample;

[0139] E15, integrating the density, particle size and appearance characteristics of the sample, and transmitting the integrated performance to the data processing module;

[0140] The process of chemical performance testing is as follows:

[0141] E21. Use spectral analysis to conduct qualitative and quantitative analysis of the chemical composition of the sample to confirm the composition of the sample;

[0142] E22. Use a pH meter to measure the pH of the sample;

[0143] E23. Dry the sample at 60-70℃ to constant weight, and calculate the moisture content of the sample by the mass of the sample before and after baking. The calculation formula of moisture content is: Where H is the moisture content of the sample, m 1 is the mass of the sample before baking, m 2 is the mass of the sample after baking;

[0144] E24. Integrate the composition, pH and water content of the sample, and transmit the integrated chemical properties to the data processing module.

[0145] The quality management module analyzes and summarizes historical data to discover problems or points that can be optimized in the production process, such as unreasonable raw material ratios and improper mixing parameter settings, and then sends adjustment suggestions or instructions to other modules through control lines or networks to achieve feedback control of the production process and optimize subsequent production operations.

[0146] The process of the quality management module sending high-speed suggestions or instructions to other modules is as follows:

[0147] F1. Establish a data analysis model based on data characteristics and analysis purposes. The data analysis model is set to be one of the statistical analysis model, correlation analysis model and regression analysis model;

[0148] F2. Set standard thresholds for various indicators according to production requirements and quality standards, then compare the actual data with the set thresholds to identify data points that are out of range or do not meet the requirements and regard them as abnormal data;

[0149] F3. Analyze the possible causes based on the abnormal data, and propose specific adjustment suggestions and optimization plans based on the cause analysis results;

[0150] F4. Use risk assessment to evaluate the feasibility and predict the effect of the proposed optimization plan, and determine the final optimization plan;

[0151] F5. Convert the final optimization plan into an executable instruction format and send the instructions to the corresponding production module through the control line.

[0152] Through the cooperation of the raw material preparation module, parameter monitoring module, data processing module, automatic sampling module, quality inspection module and quality management module, the raw materials of degradable packaging bags can be automatically monitored and inspected, and quality problems in the mixing process can be discovered and solved in time, reducing the influence of subjective factors of manual operation and observation, making the assessment of mixing quality more accurate and reliable, and improving the efficiency of production management and the level of informatization.

[0153] Based on the above-described raw material mixing quality control system for producing degradable packaging bags, the present invention also provides a raw material mixing quality control method for producing degradable packaging bags, such as Figure 6 As shown, the following steps are included:

[0154] S1. After receiving the production plan, the raw material preparation module prepares raw materials of different types and proportions according to the instructions of the production plan and transports them to the mixing equipment;

[0155] S2, the mixing equipment performs a mixing operation, monitors the parameter data of temperature, humidity and mixing time in the mixing process in real time through the parameter monitoring module, and transmits the parameter data to the data processing module;

[0156] S3, the data processing module processes and analyzes the parameter data, calculates the deviation between the actual parameters and the standard parameters, and determines whether the mixed quality meets the sampling requirements; if the mixed quality meets the sampling requirements, a sampling instruction is sent to the automatic sampling module; if the mixed quality does not meet the sampling requirements, it returns to S2;

[0157] S4, the automatic sampling module takes samples from the mixed material according to the instructions and transports the samples to the quality inspection module;

[0158] S5. Perform physical and chemical property tests on the samples through the quality inspection module, record the test results and transmit them to the data processing module;

[0159] S6, the data processing module integrates the parameter data and the test results to generate a more accurate quality assessment report and transmits it to the quality management module;

[0160] S7, the quality management module records and stores quality data, performs data analysis and quality traceability, and provides suggestions for optimizing the production process;

[0161] Through automatic monitoring and detection, the influence of subjective factors in manual operation and observation is reduced, making the assessment of mixing quality more accurate and reliable. Through the analysis and summary of quality data, it provides a basis for the optimization of the production process, such as adjusting the proportion of raw materials, optimizing mixing parameters, etc., to improve production efficiency and the stability of product quality.

[0162] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A raw material mixing quality control system for the production of degradable packaging bags, characterized by: include: A raw material preparation module, which, after receiving the production plan instruction, selects the corresponding raw materials from the raw material storage area according to the instruction, performs metering and weighing, and then directly delivers the prepared raw materials to the feed port of the mixing equipment; A mixing device, wherein the mixing device is used to mix the prepared raw materials; A parameter monitoring module, which monitors key parameters of the mixing device during the mixing process in real time, including temperature, humidity and mixing time; A data processing module processes and analyzes the collected key parameter data, evaluates the mixing quality according to the preset quality standards, and generates a quality evaluation report based on the test results transmitted by the quality detection module; An automatic sampling module, which automatically samples from a designated position in the mixing device according to preset rules and time points, and then delivers the sample to a sample inlet of the quality detection module; A quality inspection module, which performs a comprehensive inspection on the samples taken out by the automatic sampling module to obtain the physical and chemical performance indicators of the mixed material; A quality management module, which analyzes and summarizes historical data to find problems or points that can be optimized in the production process, and sends adjustment suggestions or instructions to other modules through control lines or networks to achieve feedback control of the production process to optimize subsequent production operations; The quality management module is electrically connected to the raw material preparation module, the mixing equipment, the parameter monitoring module, the data processing module, the automatic sampling module and the quality detection module respectively; the parameter monitoring module and the quality detection module are both electrically connected to the data processing module; the data processing module is electrically connected to the automatic sampling module; and the automatic sampling module is electrically connected to the quality detection module.

2. A raw material mixing quality control system for the production of degradable packaging bags according to claim 1, characterized in that: The raw material preparation module includes an instruction receiving unit, a raw material storage unit, a raw material selection device, a metering and weighing device, and a conveying device. The instruction receiving unit receives production plan instructions through a communication interface connected to the production management system to obtain information on the type, proportion and quantity of required raw materials; the raw material storage unit stores the raw materials required for the production of various degradable packaging bags through storage racks and storage tanks; the raw material selection device selects corresponding raw materials from the raw material storage unit through a robotic arm or automatic sorting equipment based on the information obtained by the instruction receiving unit; the metering and weighing device measures and weighs the selected raw materials through an electronic scale and a flow meter to ensure that the amount of the raw materials meets the production requirements; the conveying equipment conveys the metered and weighed raw materials to the feed port of the mixing device through a mechanical transmission device.

3. A raw material mixing quality control system for the production of degradable packaging bags according to claim 2, characterized in that: The parameter monitoring module is mainly composed of a temperature sensor, a humidity sensor, a timer, a data processor and a data transmission device. The temperature sensor, the humidity sensor and the timer are all electrically connected to the data processor, and the data processor is electrically connected to the data transmission device.

4. A raw material mixing quality control system for the production of degradable packaging bags according to claim 3, characterized in that: The process of the parameter monitoring module for monitoring the temperature, humidity and mixing time of the mixing equipment is as follows: B1. Set the sampling frequency of temperature sensor and humidity sensor according to actual production requirements; B2. When the mixing device is started, the temperature sensor and humidity sensor collect the temperature and humidity data of the mixing device according to the set sampling frequency, and the timer starts timing; B3, the data processor receives the temperature and humidity data, and converts the analog electrical signal output by the sensor into a digital signal through an analog-to-digital converter; B4. Perform preliminary filtering on the converted digital signal to obtain filtered data. The filtering formula is as follows: Among them, x is the filtered data, n is the number of samples, x i To collect the i-th sampling data; B5. Read the time data recorded by the timer, and merge the time data with the filtered temperature data and the filtered humidity data to form a data packet containing temperature, humidity and time data; B6. The data packet is transmitted to the data processing module through the data transmission device, and the header of the transmitted data packet is checked to confirm the accuracy of the data packet transmission. The verification formula is as follows: Where Header[j] is the jth byte of the packet header, k is the number of bytes in the packet header, and C is the header-verified data. If the header-verified data is the same as the actual packet header data, it means that there is no abnormality in the packet transmission. Otherwise, it means that there is an abnormality in the packet transmission and the packet needs to be retransmitted and verified.

5. A raw material mixing quality control system for the production of degradable packaging bags according to claim 4, characterized in that: The process of data processing and analysis by the data processing module is as follows: C11, verify the integrity of the data transmitted by the parameter monitoring module and the quality detection module. If the verification passes, enter C12. If the verification fails, send an instruction to the parameter monitoring module or the quality detection module to retransmit the data; C12. Identify abnormal data and erroneous data in the data based on normal distribution, and replace the abnormal values ​​and erroneous data with the mean; C13. Determine whether the data is repeated by comparing the key features of the data. If duplicate data appears, delete the duplicate data. C14. Normalize the processed data to convert data of different ranges and dimensions into a unified interval; C15. Use sliding window algorithm to analyze the changing trend of temperature and humidity over time for temperature and humidity data; C16. According to the temperature change trend and humidity change trend, the influence weights between temperature and mixing quality and between humidity and mixing quality are calculated respectively. The calculation formula is as follows: Among them, d i is the rank difference between the temperature and mixing quality variables, m is the number of samples, and w T is the temperature influence weight, d j is the rank difference between the temperature and mixing quality variables, w h The weight for humidity effect; C17. Divide the mixing time into different time periods, count the quality indicators of the products in each time period, and observe the influence trend of mixing time on product quality; C18. Evaluate individual indicators based on the influence trend of mixing time on product quality and the temperature and humidity trend change curves.

6. A raw material mixing quality control system for producing degradable packaging bags according to claim 5, characterized in that: The process of the data processing module generating a quality assessment report is as follows: C21. Weighted sum of the impact scores of temperature, humidity, mixing time and performance indicators to obtain the final mixing quality evaluation score. The calculation formula is as follows: S tol =w T *S T +w h *S h +w m *S m +w p *S p , where S tol is the final mixed quality assessment score, w T is the temperature influence weight, S T is the temperature impact score, w h is the humidity impact weight, S h S is the humidity impact score, m is the time impact score, w m is the time impact weight, S p is the performance index impact score, w p Influence weights for performance indicators; C22. According to the final mixed quality evaluation score and the preset grade standard, judge whether the mixed quality is qualified and give the corresponding conclusion; C23. Generate a quality assessment report based on the quality assessment results. The content of the quality assessment report includes the summary statistics of the data, the quality assessment conclusions, the detailed analysis results of each indicator, the existing problems and suggestions for improvement; C24. Store the intermediate data during the processing and the final quality assessment report in the database or file system.

7. A raw material mixing quality control system for producing degradable packaging bags according to claim 6, characterized in that: The process of automatic sampling by the automatic sampling module is as follows: D1. The control unit reads the preset rules and time point parameters, initializes the sampling and positioning mobile unit, and detects that the valve status and pipeline connection of the conveying unit are in normal status; D2, real-time monitoring of mixing time, and judging whether the sampling time point has been reached according to preset rules; D3. When the sampling time point is reached, the control unit calculates the distance and path that the sampling positioning mobile unit needs to move according to the preset sampling position coordinates, and moves the sampling execution unit to the specified position through the sampling positioning mobile unit. The calculation formula for the moving distance is as follows: Among them, M d is the distance to be moved, (x0, y0, z0) is the current position coordinate of the sampling execution unit, (x d ,y d ,z d ) is the preset sampling position coordinate of the sampling execution unit; D4. When the sampling execution unit reaches the designated position, the sampling execution unit performs sampling operation according to the set sampling amount; D5. After sampling is completed, the sample is transferred to the sample inlet of the quality inspection module through the conveying unit.

8. A raw material mixing quality control system for producing degradable packaging bags according to claim 7, characterized in that: The quality inspection module performs physical and chemical property inspections on the samples taken out. The process of physical property inspection is as follows: E11. Collect appearance feature images of the sample’s color, shape and surface smoothness through a camera; E12. Compare and analyze the collected appearance feature image with the standard feature image, and calculate the difference between the appearance feature image and the standard feature image. The difference calculation formula is as follows: Among them, MSE is the difference between the appearance feature image and the standard feature image, NO is the image size N*O, I(x1,y1) is the pixel value of the standard feature image at the coordinate (x1,y1), and J(x1,y1) is the pixel value of the appearance feature image to be detected at the coordinate x1,y1); E13. Use a laser particle size analyzer to measure the size of sample particles based on the principle of laser scattering; E14. Use a densitometer to measure the density of the sample; E15. Integrate the density, particle size and appearance characteristics of the sample, and transmit the integrated performance to the data processing module.

9. A raw material mixing quality control system for producing degradable packaging bags according to claim 8, characterized in that: The process of the quality management module sending high-speed suggestions or instructions to other modules is as follows: F1. Establish a data analysis model based on data characteristics and analysis purposes. The data analysis model is set to be one of the statistical analysis model, correlation analysis model and regression analysis model; F2. Set standard thresholds for various indicators according to production requirements and quality standards, then compare the actual data with the set thresholds to identify data points that are out of range or do not meet the requirements and regard them as abnormal data; F3. Analyze the possible causes based on the abnormal data, and propose specific adjustment suggestions and optimization plans based on the cause analysis results; F4. Use risk assessment to evaluate the feasibility and predict the effect of the proposed optimization plan, and determine the final optimization plan; F5. Convert the final optimization plan into an executable instruction format and send the instructions to the corresponding production module through the control line.

10. A method for controlling the quality of raw material mixing for the production of degradable packaging bags, based on a system for controlling the quality of raw material mixing for the production of degradable packaging bags according to any one of claims 1 to 9, characterized in that: The steps include: S1. After receiving the production plan, the raw material preparation module prepares raw materials of different types and proportions according to the instructions of the production plan and transports them to the mixing equipment; S2, the mixing equipment performs a mixing operation, monitors the parameter data of temperature, humidity and mixing time in the mixing process in real time through the parameter monitoring module, and transmits the parameter data to the data processing module; S3, the data processing module processes and analyzes the parameter data, calculates the deviation between the actual parameter and the standard parameter, and determines whether the mixed quality meets the sampling requirements; if the mixed quality meets the sampling requirements, a sampling instruction is sent to the automatic sampling module; S4, the automatic sampling module takes samples from the mixed material according to the instructions and transports the samples to the quality inspection module; S5. Perform physical and chemical property tests on the samples through the quality inspection module, record the test results and transmit them to the data processing module; S6, the data processing module integrates the parameter data and the test results to generate a more accurate quality assessment report and transmits it to the quality management module; S7, the quality management module records and stores quality data, performs data analysis and quality traceability, and provides suggestions for optimizing the production process.

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