A raw material mixing quality management and control system and method for producing degradable packaging bags

Abstract

The present application relates to the technical field of packaging bag production, and particularly relates to a raw material mixing quality control system and method for degradable packaging bag production, which comprises 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 with 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; 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 material of the degradable packaging bag can be automatically monitored and detected, quality problems 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 mixing quality is more accurate and reliable, and the efficiency and informatization level of production management are improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of packaging bag production, and particularly relates to a raw material mixing quality control system and method for degradable packaging bag production. BACKGROUND

[0002] As an environmentally friendly alternative, degradable packaging bags are gradually replacing traditional plastic bags. The main raw materials of degradable packaging bags include bio-based polymers such as polylactic acid, which are usually obtained by fermentation and polymerization of crops rich in starch such as corn starch, sugarcane or potatoes. In the production process of degradable packaging bags, the mixing of raw materials is one of the key links, and the quality of the mixing directly affects the performance of the final product. Therefore, quality control operations need to be performed on the raw materials during the mixing process.

[0003] Currently, the quality control of the raw materials for degradable packaging bag production is usually as follows: first, according to the production requirements, different types of raw materials are prepared and sent into the mixing equipment in a certain proportion, then the temperature, humidity and mixing time parameters during the mixing process are monitored through the sensors of the mixing equipment or manual observation, samples are taken from the mixed materials during the mixing process or after the mixing, and detection equipment is used for detection to evaluate the mixing quality, finally the detection results are recorded and input into the quality management system for analysis and comparison to ensure that the mixing quality meets the production requirements.

[0004] However, the above control method mainly relies on manual operation and traditional detection equipment, and manual operation and observation are easily affected by subjective factors, resulting in inaccurate monitoring and detection results, which affects the quality of packaging bag production. Therefore, we need to propose a raw material mixing quality control system and method for degradable packaging bag production to solve the above problems, so that the parameters of the mixed raw materials can be automatically and accurately evaluated, and the quality of packaging bag production can be improved. SUMMARY

[0005] In view of the above problems, the application provides a raw material mixing quality control system for degradable packaging bag production, which comprises:

[0006] A raw material preparation module, which receives a production plan instruction, selects corresponding raw materials from a raw material storage area according to the instruction, measures and weighs the raw materials, and then directly transports the prepared raw materials to the feeding port of the mixing equipment;

[0007] A mixing device, which is used for mixing the prepared raw materials;

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

[0009] The data processing module processes and analyzes the collected key parameter data, evaluates the mixed quality according to preset quality standards, and generates a quality assessment report by integrating the test results from the quality detection module.

[0010] An automatic sampling module automatically takes samples from a designated location within the mixing device according to preset rules and time points, and then transports the obtained samples to the sample inlet of the quality detection module.

[0011] The quality inspection module performs comprehensive testing on the samples taken by the automatic sampling module to obtain the physical and chemical performance indicators of the mixture.

[0012] The quality management module analyzes and summarizes historical data to identify problems or areas for optimization in the production process. It then sends adjustment suggestions or instructions to other modules via control lines or networks to achieve feedback control of the production process and optimize subsequent production operations.

[0013] The quality management module is electrically connected to the raw material preparation module, mixing equipment, parameter monitoring module, data processing module, automatic sampling module, and quality testing module. The parameter monitoring module and quality testing 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 testing 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, obtaining information on the types, proportions, and quantities of the required raw materials. The raw material storage unit stores various raw materials required for the production of biodegradable packaging bags through storage racks and storage tanks. The raw material selection device selects the corresponding raw materials from the raw material storage unit based on the information obtained by the instruction receiving unit, using a robotic arm or automatic sorting equipment. The metering and weighing device measures and weighs the selected raw materials using electronic scales and flow meters to ensure that the quantity of raw materials meets production requirements. The conveying device transports the measured and weighed raw materials to the inlet of the mixing equipment through a mechanical transmission device.

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

[0016] Furthermore, the parameter monitoring module monitors the temperature, humidity, and mixing time of the mixing equipment as follows:

[0017] B1, set the sampling frequency of the temperature sensor and the humidity sensor according to the actual production needs;

[0018] B2, when the mixing device is started, the temperature sensor and the humidity sensor collect the temperature and humidity data of the mixing device according to the set sampling frequency, and at the same time, the timer starts timing work;

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

[0020] B4, the converted digital signal is subjected to preliminary filtering processing to obtain filtered data, and the filtering processing formula is as follows:

[0021] Wherein, x is the filtered data, n is the sampling number, x i is the i-th sampling data collected;

[0022] B5, read the time data recorded by the timer, and fuse 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, transmit the data packet to the data processing module through the data transmission device, and perform header verification on the transmitted data packet to confirm the accuracy of the data packet transmission, and the verification formula is as follows:

[0024] Wherein, Header[j] is the j-th byte of the header of the data packet, k is the number of bytes of the header of the data packet, C is the data after header verification, and if the data after header verification is the same as the actual data packet header data, it means that the data packet transmission is normal, otherwise, it means that the data packet transmission is abnormal, and the data packet transmission and verification need to be performed again.

[0025] Further, the data processing and analysis process of the data processing module is as follows:

[0026] C11, the data transmitted by the parameter monitoring module and the quality detection module are subjected to integrity verification, if the verification is passed, then C12 is entered, if the verification is not passed, an instruction of retransmitting data is sent to the parameter monitoring module or the quality detection module;

[0027] C12, identify abnormal data and error data in the data based on normal distribution, and replace the abnormal value and the error data with the mean value;

[0028] C13, judge whether the data is repeated by comparing the key features of the data, if the repeated data appears, the repeated data needs to be deleted;

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

[0030] C15, use a sliding window algorithm to analyze the temperature and humidity trends over time for temperature and humidity data;

[0031] C16, calculate the influence weight between temperature and mixing quality and the influence weight between humidity and mixing quality according to the temperature trend and the humidity trend, respectively, and the calculation formula is as follows:

[0032]

[0033] where d i is the difference between the ranks of the two variables of temperature and mixing quality, m is the number of samples, w T is the temperature influence weight, d j is the difference between the ranks of the two variables of temperature and mixing quality, w h is the humidity influence weight;

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

[0035] C18, perform single index evaluation according to the influence trend of mixing time on product quality and the trend change curve of temperature and humidity.

[0036] Further, the data processing module performs the following process for generating a quality evaluation report:

[0037] C21, weight and sum the influence scores of temperature, humidity, mixing time and performance indicators to obtain the final mixing quality evaluation score, and 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 mixing quality evaluation score, w T is the temperature influence weight, S T is the temperature influence score, w h is the humidity influence weight, S h is the humidity influence score, S m is the time influence score, w m is the time influence weight, S pw p is the performance index influence weight;

[0039] C22, according to the final mixed quality evaluation score and the preset grade standard, judging whether the mixed quality is qualified, and giving the corresponding conclusion;

[0040] C23, generating a quality evaluation report according to the quality evaluation result, the content of the quality evaluation report including the summary statistics of data, the quality evaluation conclusion, the detailed analysis result of each index, the existing problems and the improvement suggestions;

[0041] C24, storing the intermediate data in the processing process and the final quality evaluation report to the database or the file system.

[0042] Further, the automatic sampling module performs the automatic sampling process as follows:

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

[0044] D2, real-time monitoring the mixing time, and judging whether the sampling time point is reached according to the 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 of the moving distance is as follows:

[0046] Wherein, M d is the distance to be moved, (x0, y0, z0) is the current position coordinates of the sampling execution unit, (x d , y d , z d ) is the preset sampling execution unit sampling position coordinates;

[0047] D4, when the sampling execution unit reaches the specified position, the sampling execution unit performs sampling operation according to the set sampling amount;

[0048] D5, after sampling is completed, the sample is transmitted to the sample inlet of the quality detection module through the conveying unit.

[0049] Further, the quality detection module detects the content of the sample taken, including physical performance detection and chemical performance detection, the process of physical performance detection is as follows:

[0050] E11, acquiring the appearance feature image of the color, shape and surface flatness of the sample through the camera;

[0051] E12, compare the collected appearance feature image with the standard feature image, calculate the difference degree of the appearance feature image and the standard feature image, and the difference degree calculation formula is as follows:

[0052] Wherein, MSE is the difference degree of 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 coordinate (x1,y1), and J(x1,y1) is the pixel value of the appearance feature image to be detected at coordinate (x1,y1);

[0053] E13, using laser particle size analyzer to measure the size of sample particles according to the principle of laser scattering;

[0054] E14, using density meter to measure the density of the sample;

[0055] E15, the performance of the sample is integrated with the density, particle size and appearance feature, and the integrated performance is transmitted to the data processing module.

[0056] Further, the quality management module sends high-speed suggestions or instructions to other modules as follows:

[0057] F1, according to the data characteristics and the purpose of analysis, a data analysis model is established, and the data analysis model is set to one of statistical analysis model, correlation analysis model and regression analysis model;

[0058] F2, according to the production requirements and quality standards, the standard threshold value of each index is set, then the actual data is compared with the set threshold value, and the data points exceeding the range or not meeting the requirements are regarded as abnormal data;

[0059] F3, according to the analysis of abnormal data, the specific adjustment suggestion and optimization scheme are put forward according to the analysis result of the reason;

[0060] F4, the optimization scheme is evaluated and the effect is predicted by risk assessment method, and the final optimization scheme is determined;

[0061] F5, the final optimization scheme is converted into executable instruction format, and the instruction is sent to the corresponding production module through the control circuit.

[0062] Based on the above description, a raw material mixing quality control system for degradable packaging bag production is provided, and a raw material mixing quality control method for degradable packaging bag production is also provided, which comprises the following steps:

[0063] S1, after receiving the production plan, the raw material preparation module prepares different kinds and proportions of raw materials according to the instructions of the production plan, and sends them to the mixing equipment;

[0064] S2, the mixing device carries out mixing operation, the parameter data of temperature, humidity and mixing time in the mixing process are monitored in real time through the parameter monitoring module, and the parameter data are transmitted to the data processing module;

[0065] S3, the data processing module processes and analyzes the parameter data, calculates the deviation of the actual parameter and the standard parameter, judges whether the mixing quality meets the sampling requirement, and sends a sampling instruction to the automatic sampling module if the mixing quality meets the sampling requirement;

[0066] S4, the automatic sampling module samples from the mixed material according to the instruction, and transports the sample to the quality detection module;

[0067] S5, the sample is detected for physical performance and chemical performance through the quality detection module, the detection result is recorded and transmitted to the data processing module;

[0068] S6, the data processing module generates a more accurate quality evaluation report by comprehensively analyzing the parameter data and the detection result, and transmits the report to the quality management module;

[0069] S7, the quality management module records and stores the quality data, analyzes the data and traces the quality, and provides suggestions for the optimization of the production process.

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

[0071] 1, the raw materials of the degradable packaging bag can be automatically monitored and detected 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 the quality problems in the mixing process can be found and solved in time, the subjective factors of manual operation and observation are reduced, the evaluation of the mixing quality is more accurate and reliable, and the efficiency and informatization level of production management are improved.

[0072] 2, the analysis and summary of the quality data provide basis for the optimization of the production process, such as adjusting the raw material ratio and optimizing the mixing parameters, so as to improve the production efficiency and the stability of product quality.

[0073] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and obtained by the structure indicated in the specification, claims and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0074] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[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 illustrating parameter monitoring of temperature, humidity, and mixing time in a mixing device according to an embodiment of the present invention is shown.

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

[0078] Figure 4 A flowchart illustrating the physical performance testing of samples according to an embodiment of the present invention is shown;

[0079] Figure 5 A flowchart illustrating the process of 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 flowchart of a raw material mixing quality control method according to an embodiment of the present invention is shown. Detailed Implementation

[0081] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0082] This invention provides a quality control system for mixing raw materials used in the production of biodegradable packaging bags, such as... Figures 1-5 As 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 inspection 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 inspection module, respectively. The parameter monitoring module and the quality inspection 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 inspection module.

[0083] The raw material preparation module receives production plan instructions, selects corresponding raw materials from the raw material storage area according to the instructions, and after metering and weighing, directly transports the prepared raw materials to the feed inlet of the mixing device through mechanical transmission devices such as conveying pipelines and conveying belts, realizing the connection of raw materials from the 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 about the types, proportions, and quantities of required raw materials. The raw material storage unit stores various raw materials required for degradable packaging bag production through storage shelves and storage tanks. The raw material selection device selects corresponding raw materials from the raw material storage unit through a mechanical arm or an automatic sorting device based on the information obtained by the instruction receiving unit. The metering and weighing device meters and weighs the selected raw materials through an electronic scale and a flowmeter to ensure that the quantity of raw materials meets production requirements. The conveying device conveys the metered and weighed raw materials to the feed inlet of the mixing device through mechanical transmission devices, wherein the mechanical transmission devices include conveying pipelines and conveying belts.

[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 about the types, proportions, and quantities of required raw materials.

[0087] A2. According to the detailed information about the required raw materials, the solid raw materials are grabbed by a mechanical arm according to the preset coordinate position on the storage shelf, and the liquid raw materials are extracted by an automatic sorting device according to the instructions from the storage tank.

[0088] A3. The solid raw materials are weighed by an electronic scale, and the liquid raw materials are flow measured by a flowmeter to ensure that the quantity of raw materials meets production requirements.

[0089] A4. The weighed and metered solid and liquid raw materials are conveyed to the feed inlet of the mixing device by the conveying device, completing the connection of raw materials from the preparation link to the mixing link.

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

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

[0092] The parameter monitoring module mainly consists of a temperature sensor, a humidity sensor, a timer, a data processor, and a data transmission device. The temperature sensor, humidity sensor, and timer are all electrically connected to the data processor, which in turn is electrically connected to the data transmission device. The temperature and humidity sensors are installed inside the mixing device to accurately measure the temperature and humidity of the mixing area. These sensors sense the temperature and humidity within the mixing device in real time, converting the signals into electrical signals and transmitting them to the data processor. The timer is electrically connected to the mixing device, enabling it to start and stop timing when the mixing device stops. The timer accurately records the mixing time and transmits this time to the data processor; the mixing time is the time from start to stop of the mixing device. The data processor collects the temperature, humidity, and mixing time signals, processes and converts the data, and then transmits the converted data to the data processing module via the data transmission device for further processing and analysis.

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

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

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

[0096] B3. The data processor receives temperature and humidity data and converts the analog electrical signals output by the sensor into digital signals through an analog-to-digital converter.

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

[0098] Where x is the filtered data, n is the number of samples, and x i To collect the i-th sampled data;

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

[0100] B6, transmitting the data packet to the data processing module through the data transmission device, and performing header check on the transmitted data packet to confirm the accuracy of the data packet transmission, and the check formula is as follows:

[0101] Wherein, Header[j] is the jth byte of the data packet header, k is the number of bytes of the data packet header, C is the data after header check, if the data after header check is the same as the actual data packet header data, it means that the data packet transmission is normal, otherwise, it means that the data packet transmission is abnormal, and the data packet transmission and check need to be performed again.

[0102] The data processing module processes and analyzes the collected key parameter data, and evaluates the mixing quality according to the preset quality standard, so as to discover problems in time, and comprehensively and accurately evaluate the quality by combining the detection results from the quality detection module, and generate a quality evaluation report.

[0103] The data processing and analysis process of the data processing module is as follows:

[0104] C11, verifying the integrity of the data transmitted by the parameter monitoring module and the quality detection module, if the verification is passed, then entering C12, if the verification is not passed, then issuing an instruction to the parameter monitoring module or the quality detection module to retransmit the data;

[0105] The process of receiving data integrity verification is as follows: extracting the header information from the received data frame, finding the field indicating the standard frame length according to the frame format specified by the communication protocol, and comparing the actual length of the received data frame with the standard frame length, if the actual length is consistent with the standard frame length, it is determined that the verification is passed, if the actual length is not consistent with the standard frame length, it is determined that the verification is not passed.

[0106] C12, identifying abnormal data and error data in the data based on normal distribution, and replacing the abnormal value and error data with the mean value;

[0107] C13, judging whether the data is repeated by comparing the key features of the data, if the repeated data appears, the repeated data needs to be deleted;

[0108] C14, normalizing the processed data to convert different range and dimension data into a unified interval;

[0109] C15, using a sliding window algorithm to analyze the trend of temperature and humidity with time, that is, setting a sliding window with a size of M, calculating the mean value of the data in the window M, and obtaining the trend curve of temperature and humidity by sliding the window, and judging whether the temperature and humidity are stable in the mixing process by observing the trend curve.

[0110] C16, calculate the influence weight between temperature and mixing quality and between humidity and mixing quality according to the temperature change trend and the humidity change trend, and the calculation formula is as follows:

[0111]

[0112] Wherein, d i is the difference between the ranks of the two variables of temperature and mixing quality, m is the number of samples, w T is the temperature influence weight, d j is the difference between the ranks of the two variables of temperature and mixing quality, w h is the humidity influence weight;

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

[0114] C18, according to the influence trend of mixing time on product quality and the trend change curve of temperature and humidity, evaluate the single indicators;

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

[0116] The flow of the data processing module in the process of generating quality evaluation report is as follows:

[0117] C21, weight and sum the influence scores of temperature, humidity, mixing time and performance indicators to get the final mixing quality evaluation score, and 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 , wherein, Stol is a final mixed quality evaluation score, w T is a temperature influence weight, S T is a temperature influence score, w h is a humidity influence weight, S h is a humidity influence score, S m is a time influence score, w m is a time influence weight, S p is a performance index influence score, w p is a performance index influence weight;

[0119] C22, judging whether the mixed quality is qualified according to the final mixed quality evaluation score and a preset grade standard, and giving a corresponding conclusion;

[0120] C23, generating a quality evaluation report according to the quality evaluation result, the content of the quality evaluation report including a summary statistics of data, a quality evaluation conclusion, a detailed analysis result of each index, existing problems and improvement suggestions, providing strong support for production decision, and helping to improve production efficiency and product quality;

[0121] C24, storing the intermediate data in the processing process and the final quality evaluation report to a database or a file system, so as to be subsequently queried and analyzed, when a quality problem occurs, the relevant data can be quickly found, the problem root is analyzed, and corresponding corrective measures are taken.

[0122] The automatic sampling module automatically samples from the specified position in the mixing equipment according to the preset rules and time points, then transports the obtained sample to the sample inlet of the quality detection module, so that the sample can enter the quality detection module for mixed quality detection, ensuring the quality of raw material mixing and avoiding the randomness and errors 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 with the sampling execution unit, the sampling positioning moving unit and the conveying unit respectively, the sampling execution unit obtains the sample from the mixing equipment through a sampling probe, the sampling probe is designed according to the characteristics of the mixing equipment and the sampling position, so as to ensure that the sampling probe can accurately collect a representative sample; the sampling positioning moving unit accurately moves the sampling execution unit to the specified sampling position in the mixing equipment, the sampling positioning moving unit mainly consists of a motor, a guide rail, a sliding block and an encoder, the sliding block is threadedly connected on the lead screw, the lead screw is driven to rotate by the motor, so that the sliding block moves horizontally on the guide rail, and the sliding block can drive the sampling execution unit to move in position, and the encoder is used to accurately measure the moving distance and position of the sliding block;

[0124] The conveying unit transports the sample obtained from the sampling position to the sample inlet of the quality detection module, and mainly comprises a conveying pump, a pipeline and a valve installed on the pipeline. The valve at the quality detection module is opened, and the sample is conveyed from the pipeline to the quality detection module by the conveying pump. The control unit sends control instructions to the sampling execution unit and the sampling positioning movement unit according to the preset rules and time points, so as to ensure that the sampling execution unit can automatically sample from the specified position in the mixing device according to the preset rules and time points.

[0125] The automatic sampling module performs the automatic sampling process as follows:

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

[0127] D2, the mixing time is monitored in real time, and whether the sampling time point is reached is judged according to the preset rules;

[0128] D3, when the sampling time point is reached, the control unit calculates the distance and path that the sampling positioning movement 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 movement unit. The calculation formula of the moving distance is as follows:

[0129] Wherein, M d is the distance to be moved, (x0, y0, z0) is the current position coordinate of the sampling execution unit, and (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 specified position, the sampling execution unit performs sampling operation according to the set sampling amount;

[0131] D5, after sampling is completed, the sample is transmitted to the sample inlet of the quality detection module through the conveying unit.

[0132] The quality detection module comprehensively detects the sample taken by the automatic sampling module, obtains the physical and chemical performance indexes of the mixed material, and provides more detailed basis for quality evaluation;

[0133] The content of the sample detected by the quality detection module includes physical performance detection and chemical performance detection. The process of the physical performance detection is as follows:

[0134] E11, the appearance feature image of the color, shape and surface flatness of the sample is collected by the camera;

[0135] E12, compare the collected appearance feature image with the standard feature image, calculate the difference degree of the appearance feature image and the standard feature image, and the difference degree calculation formula is as follows:

[0136] Wherein, MSE is the difference degree of 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 coordinate (x1,y1), and J(x1,y1) is the pixel value of the appearance feature image to be detected at coordinate (x1,y1);

[0137] E13, using laser particle size analyzer to measure the size of sample particles according to the principle of laser scattering;

[0138] E14, using density meter to measure the density of the sample;

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

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

[0141] E21, using spectral analysis to qualitatively and quantitatively analyze the chemical composition of the sample, and confirming the composition of the sample;

[0142] E22, using PH meter to measure the pH value of the sample;

[0143] E23, drying the sample at 60-70℃ to constant weight, calculating the water content in the sample by the mass of the sample before and after pre-baking, and the calculation formula of water content is: Wherein, H is the water content of the sample, m1 is the mass of the sample before baking, and m2 is the mass of the sample after baking;

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

[0145] The quality management module analyzes and summarizes the historical data to find problems or points that can be optimized in the production process, such as unreasonable raw material ratio, improper mixing parameter setting, etc., and then sends adjustment suggestions or instructions to other modules through control circuit or network to realize feedback control of the production process and optimize subsequent production operation.

[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 according to the data characteristics and the purpose of analysis, and the data analysis model is set to one of statistical analysis model, correlation analysis model and regression analysis model;

[0148] F2, according to the production requirements and quality standards, set the threshold value of each index, and then compare the actual data with the set threshold value, find out the data points exceeding the range or not meeting the requirements as abnormal data;

[0149] F3, according to the abnormal data analysis, according to the cause analysis results, put forward specific adjustment suggestions and optimization scheme;

[0150] F4, using risk assessment method to evaluate the feasibility and effect prediction of the optimization scheme, determine the final optimization scheme;

[0151] F5, the final optimization scheme is converted into executable instruction format, and the instruction is sent to the corresponding production module through the control line.

[0152] 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, the raw materials of the degradable packaging bag can be automatically monitored and detected, and the quality problems in the mixing process can be found and solved in time, the influence of manual operation and observation subjective factors is reduced, the evaluation of mixing quality is more accurate and reliable, and the production management efficiency and information level are improved.

[0153] Based on the above description, a raw material mixing quality control system for degradable packaging bag production is provided, and a raw material mixing quality control method for degradable packaging bag production is provided, as shown in Figure 6 The method comprises the following steps:

[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 delivers them to the mixing equipment;

[0155] S2, the mixing equipment carries out mixing operation, the parameter monitoring module monitors the temperature, humidity and mixing time parameter data in the mixing process in real time, 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 of the actual parameter and the standard parameter, judges whether the mixing quality meets the sampling requirements; if the mixing quality meets the sampling requirements, send the sampling instruction to the automatic sampling module; if the mixing quality does not meet the sampling requirements, return to S2;

[0157] S4, the automatic sampling module samples from the mixed material according to the instruction, and delivers the sample to the quality detection module;

[0158] S5, the quality detection module detects the physical and chemical properties of the sample, records the detection results and transmits them to the data processing module;

[0159] S6、Data processing module integrates parameter data and detection results to generate more accurate quality evaluation report and transmits to quality management module;

[0160] S7、Quality management module records, stores quality data, analyzes data and traces quality, and provides suggestions for production process optimization;

[0161] Through automatic monitoring and detection, the influence of subjective factors of manual operation and observation is reduced, the evaluation of the mixing quality is more accurate and reliable, and through analysis and summary of the quality data, basis is provided for optimization of the production process, such as adjustment of the raw material ratio and optimization of the mixing parameters, so that the production efficiency and the stability of the product quality are improved.

[0162] Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalents; and these modifications or replacements 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 application.

Claims

1. A quality control system for mixing raw materials used in the production of biodegradable packaging bags, characterized in that: include: The raw material preparation module receives the production plan instruction, selects the corresponding raw materials from the raw material storage area according to the instruction, measures and weighs them, and then directly transports the prepared raw materials to the feed port of the mixing equipment. A mixing device for mixing prepared raw materials; The parameter monitoring module monitors key parameters of the mixing equipment in real time during the mixing process. These key parameters include temperature, humidity, and mixing time. The data processing module processes and analyzes the collected key parameter data, evaluates the mixed quality according to preset quality standards, integrates the test results from the quality detection module, generates a quality assessment report, and transmits the quality assessment report to the quality management module. An automatic sampling module automatically takes samples from a designated location within the mixing device according to preset rules and time points, and then transports the obtained samples to the sample inlet of the quality detection module. The quality inspection module performs comprehensive testing on the samples taken by the automatic sampling module to obtain the physical and chemical performance indicators of the mixture. The quality inspection module performs tests on the extracted samples, including physical performance testing and chemical performance testing. The physical performance testing process is as follows: E11. Acquire images of the sample's appearance features, including color, shape, and surface smoothness, using a camera; E12. Compare and analyze the acquired appearance feature images with the standard feature images, and calculate the degree of difference between the appearance feature images and the standard feature images. The formula for calculating the degree of difference is as follows: ,in, To determine the degree of difference between the appearance feature image and the standard feature image, Given an image size of N*O, For standard feature images in coordinates Pixel value at that location, The appearance feature image to be detected in coordinates Pixel value at; 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 sample's density, particle size, and appearance characteristics, and transmit the integrated performance data to the data processing module. The procedure for chemical performance testing is as follows: E21. Use spectral analysis to perform qualitative and quantitative analysis of the chemical composition of the sample to confirm the composition of the sample; E22. Use a pH meter to measure the acidity or alkalinity of the sample; E23. Dry the sample at 60-70℃ to constant weight. Calculate the moisture content of the sample by comparing the mass before and after drying. The formula for calculating the moisture content is: ,in, This refers to the moisture content of the sample. This refers to the quality of the sample before baking. The quality of the sample after baking; E24. The composition, pH and moisture content of the sample are integrated, and the integrated chemical properties are transmitted to the data processing module. The quality management module analyzes and summarizes historical data to identify problems or areas for optimization in the production process. It then sends adjustment suggestions or instructions to other modules via control lines or networks to achieve feedback control of the production process and optimize subsequent production operations. The process by which the quality management module sends adjustment suggestions or instructions to other modules is as follows: F1. Establish a data analysis model based on the characteristics of the data and the purpose of the analysis. The data analysis model is set as one of the statistical analysis model, correlation analysis model, and regression analysis model. F2. Based on production requirements and quality standards, set standard thresholds for each indicator, then compare the actual data with the set thresholds, and identify data points that are out of range or do not meet the requirements as abnormal data. F3. Analyze the possible causes based on the abnormal data, and propose specific adjustment suggestions and optimization plans based on the results of the cause analysis; F4. Use risk assessment to evaluate the feasibility and predict the effects of the proposed optimization scheme, and determine the final optimization scheme. F5. Convert the final optimized solution into an executable instruction format and send the instructions to the corresponding production module through the control circuit; The quality management module is electrically connected to the raw material preparation module, mixing equipment, parameter monitoring module, data processing module, automatic sampling module, and quality testing module. The parameter monitoring module and quality testing 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 testing module.

2. The quality control system for mixing raw materials used in the production of biodegradable 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, obtaining information on the types, proportions, and quantities of the required raw materials. The raw material storage unit stores various raw materials required for the production of biodegradable packaging bags using storage racks and storage tanks. The raw material selection device selects the corresponding raw materials from the raw material storage unit based on the information obtained from the instruction receiving unit, using a robotic arm or automatic sorting equipment. The metering and weighing device measures and weighs the selected raw materials using electronic scales and flow meters to ensure that the quantity of raw materials meets production requirements. The conveying device transports the measured and weighed raw materials to the inlet of the mixing equipment via a mechanical transmission device.

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

4. The raw material mixing quality control system for biodegradable packaging bag production according to claim 3, characterized in that: The parameter monitoring module monitors the temperature, humidity, and mixing time of the mixing equipment as follows: B1. Set the sampling frequency of the temperature sensor and humidity sensor according to actual production needs; B2. When the mixing equipment is started, the temperature sensor and humidity sensor collect the temperature and humidity data of the mixing equipment according to the set sampling frequency, and the timer starts to start counting. B3. The data processor receives temperature and humidity data and converts the analog electrical signals output by the sensor into digital signals through an analog-to-digital converter. B4. Perform preliminary filtering on the converted digital signal to obtain filtered data. The formula for the filtering process is as follows: ,in, This is the filtered data. For the number of samples, To collect the first Secondary sampling data; B5. Read the time data recorded by the timer and merge the time data with the filtered temperature data and filtered humidity data to form a data packet containing temperature, humidity and time data; B6. Transmit the data packet to the data processing module via the data transmission device, and perform header verification on the transmitted data packet to confirm the accuracy of the data packet transmission. The verification formula is as follows: ,in, is the j-th byte of the data packet header, k is the number of bytes in the data packet header, and C is the data after header verification. If the data after header verification is the same as the actual data packet header data, it means that the data packet transmission is normal. Otherwise, it means that the data packet transmission is abnormal and the data packet transmission and verification need to be repeated.

5. The raw material mixing quality control system for biodegradable packaging bag production according to claim 4, characterized in that: The data processing module performs data processing and analysis as follows: C11. Perform integrity verification on the data transmitted by the parameter monitoring module and the quality inspection module. If the verification passes, proceed to C12. If the verification fails, issue a command to retransmit the data to the parameter monitoring module or the quality inspection module. C12. Identify outliers and erroneous data in the data based on the normal distribution, and replace outliers and erroneous data with the mean; C13. Determine whether the data is duplicated by comparing the key features of the data. If duplicate data is found, it should be deleted. C14. Normalize the processed data to convert data of different ranges and dimensions into a unified interval; C15. Use the sliding window algorithm to analyze the changing trends of temperature and humidity over time for temperature and humidity data; C16. Calculate the influence weights between temperature and mixed mass, and between humidity and mixed mass, based on the temperature and humidity change trends, respectively. The calculation formulas are as follows: ， ， in, This represents the difference in rank between the variables temperature and the mass of the mixture. For the number of samples, The weighting is based on the effect of temperature. This represents the difference in rank between the variables humidity and mixing mass. The influence of humidity is weighted; C17. Divide the mixing time into different time periods, statistically analyze the product quality indicators in each time period, and observe the trend of the impact of mixing time on product quality. C18. Evaluate individual indicators based on the trend of the impact of mixing time on product quality and the trend curves of temperature and humidity changes.

6. The raw material mixing quality control system for biodegradable packaging bag production according to claim 5, characterized in that: The data processing module generates the quality assessment report as follows: C21. The weighted sum of the scores for the effects of temperature, humidity, mixing time, and performance indicators is used to obtain the final mixing quality assessment score. The calculation formula is as follows: ,in, For the final mixed quality assessment score, The weighting is based on the effect of temperature. The score is affected by temperature. Humidity affects the weighting. Humidity affects the score. Time affects the score. Weighting based on the impact of time. Performance metrics affect the score. The weighting is determined by the performance metrics. C22. Based on the final mixed quality assessment score and the preset grading standards, determine whether the mixed quality is qualified and give the corresponding conclusion; C23. Generate a quality assessment report based on the quality assessment results. The quality assessment report includes a summary and statistical analysis of the data, quality assessment conclusions, detailed analysis results of each indicator, existing problems, and suggestions for improvement. C24. Store intermediate data and the final quality assessment report during the processing into a database or file system.

7. The raw material mixing quality control system for biodegradable packaging bag production according to claim 6, characterized in that: The automatic sampling module performs the following automatic sampling process: D1. The control unit reads the preset rules and time point parameters, initializes the sampling and positioning moving unit, and checks that the valve status and pipeline connection of the conveying unit are in normal condition. D2. Monitor the mixing time in real time and determine whether the sampling time point has been reached according to the preset rules; D3. When the sampling time point is reached, the control unit calculates the distance and path that the sampling positioning moving unit needs to move based on the preset sampling position coordinates. The sampling execution unit is then moved to the designated position by the sampling positioning moving unit. The formula for calculating the moving distance is as follows: ,in, For the distance to be moved, The coordinates of the current position of the sampling execution unit. The preset sampling position coordinates of the sampling execution unit; D4. When the sampling execution unit reaches the designated position, the sampling execution unit performs sampling operations according to the set sampling quantity; D5. After sampling is completed, the sample is transferred to the sample inlet of the quality inspection module through the conveying unit.

8. A method for quality control of raw material mixing in the production of biodegradable packaging bags, based on the quality control system for raw material mixing in the production of biodegradable packaging bags as described in any one of claims 1-7, characterized in that: Includes the following steps: S1. After receiving the production plan, the raw material preparation module prepares different types and proportions of raw materials according to the instructions of the production plan and delivers them to the mixing equipment. S2. The mixing equipment performs mixing operations, and the parameter monitoring module monitors the temperature, humidity and mixing time parameters in real time during the mixing process, 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 parameters and the standard parameters, and determines whether the mixed quality meets the sampling requirements. If the mixed quality meets the sampling requirements, it sends a sampling instruction to the automatic sampling module. S4. The automatic sampling module takes a sample from the mixture according to the instructions and transports the sample to the quality inspection module. S5. The physical and chemical properties of the sample are tested through the quality testing module, the test results are recorded and transmitted to the data processing module; S6. The data processing module integrates parameter data and 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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