A method and management system for monitoring the production of filled milk

Abstract

The application discloses a kind of filling milk production monitoring method and management system, it is related to filling milk production monitoring technical field, in filling milk production process, by setting quality detection line and sampling, it realizes the comprehensive quality monitoring of filling milk in production process, it is favorable to find problem product in time, in the process of milk quality parameter acquisition, by sampling detection when each to be detected milk is transported by conveyer belt, the quality parameters corresponding to each to be detected milk are obtained, it is favorable to quickly and accurately collect data, provide strong support for subsequent quality analysis, it is favorable to fine management to the quality control in production process, in milk quality analysis link, by calculating the comprehensive quality evaluation coefficient corresponding to each to be detected milk, it is favorable to objectively evaluate the quality of milk, it is favorable to find and handle product that does not meet production requirement in time, improve product overall quality level.

Description

Technical Field

[0001] This invention relates to the field of monitoring technology for bottled milk production, specifically to a method and management system for monitoring bottled milk production. Background Technology

[0002] With advancements in processing technology, automation and intelligent technologies are being applied more and more widely in the food industry. The development of monitoring and management systems for milk bottling production aims to improve production efficiency, reduce human error, and ensure the continuity and stability of the production process.

[0003] Existing technology, such as the invention patent application with publication number CN116700183A, discloses a method and management system for monitoring and managing milk filling production, including a data acquisition unit, a data comparison unit, and an information output unit. This invention relates to the field of milk filling production technology and solves the technical problems of not being able to reasonably monitor filling machinery and not being able to reasonably and quickly adjust filling time. This invention uses basic information to determine whether there are any abnormalities in the filling machinery, then performs parameter analysis on the abnormal objects to find the cause of the problem and transmits it to the operators, so that the operators can handle and repair it in a timely manner, avoiding the continued use of abnormal objects from affecting the overall filling process. It continuously monitors normal objects and provides early warnings based on the filling volume to indicate the working status of normal objects, thereby providing early warnings of danger, reminding staff to carry out maintenance, and ensuring the normal operation of subsequent filling work.

[0004] Regarding the above solutions, the applicant of this invention has found that the above technology has at least the following technical problems: 1. The above methods do not describe in detail the specific technical principles and operation methods of the monitoring method, which will make it difficult for operators to accurately understand and perform the monitoring tasks in actual operation, affecting the timely handling and maintenance of abnormal objects, and thus potentially affecting the overall filling efficiency and quality control. It does not cover how to process and analyze the real-time collected data, or how to quickly identify and solve problems in the production process through data analysis, which will make the monitoring system lack effective data processing and analysis capabilities in practical applications, unable to detect potential production anomalies in a timely manner, and affecting the stability and controllability of the production process.

[0005] 2. The above scheme lacks a description of a comprehensive assessment of the operating status of filling machinery and automated equipment, and lacks an early warning mechanism to warn of potential dangers in the production process. This makes it impossible for production management to respond in a timely manner to changes in equipment operating status and abnormal situations, thereby increasing the risks to production safety and efficiency management. Summary of the Invention

[0006] The purpose of this invention is to provide a method and management system for monitoring and managing the production of bottled milk, which solves the problems existing in the background art.

[0007] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a method for monitoring the production of bottled milk, including: Step 1, monitoring process analysis: a quality detection line is set up in the production line corresponding to the bottled milk, and sampling is carried out, so as to realize comprehensive quality monitoring of bottled milk in the production process. The containers that have completed the filling of milk are recorded as each milk container, and the sampled milk containers are recorded as each milk to be tested.

[0008] Step 2: Milk quality parameter collection: Samples are taken from each milk sample as it is transported by conveyor belt to obtain the corresponding quality parameters for each milk sample.

[0009] Step 3: Milk Quality Analysis: Based on the quality parameters of each milk sample to be tested, calculate the comprehensive quality evaluation coefficient for each milk sample to be tested, and then analyze whether the comprehensive quality of each milk sample to be tested meets the production requirements.

[0010] Step 4: Production Equipment Monitoring: Obtain the operating parameters of the automated equipment during milk filling production, and then calculate the equipment operation evaluation coefficient of the automated equipment during milk filling production.

[0011] Step 5: Comprehensive Equipment Quality Analysis: Based on the comprehensive quality evaluation coefficient of each milk to be tested and the machine operation evaluation coefficient of the automated equipment during milk filling production, the comprehensive operation evaluation index of the automated equipment during milk filling production is analyzed. This analysis determines whether there are any abnormalities in the operating status of the automated equipment during milk filling production.

[0012] Step Six: Early Warning Prompt: An early warning prompt will be issued when the overall quality of a milk container does not meet production requirements or when the automated equipment malfunctions during milk filling.

[0013] Preferably, the process of monitoring the volume of milk during the production process is as follows: The milk production line includes a cleaning line, a filling line, a sealing line, and a packaging line. Quality inspection lines are set between the sealing line and the packaging line. When milk containers are transported between the sealing line and the packaging line, samples are taken by an automated mechanical device according to a set sampling frequency. The sampled milk containers are then placed on a pad set in the quality inspection line. The pad is equipped with a weight detection function, and an ultrasonic sensor is set above the quality inspection line. Milk containers that do not meet the production requirements are marked, thereby achieving comprehensive quality monitoring of milk during the production process.

[0014] In a second aspect, the present invention provides a milk filling production monitoring and management system, comprising: a monitoring process analysis module, used to set up a quality detection line in the production line corresponding to the milk filling and to perform sampling, thereby realizing comprehensive quality monitoring of the milk filling process, and recording the containers that have completed milk filling as each milk container, and recording each sampled milk container as each milk to be tested.

[0015] The milk quality parameter acquisition module is used to sample and test each milk sample as it is transported by conveyor belt, and to obtain the corresponding quality parameters for each milk sample.

[0016] The milk quality analysis module is used to calculate the comprehensive quality evaluation coefficient for each milk sample based on its corresponding quality parameters, thereby analyzing whether the comprehensive quality of each milk sample meets production requirements.

[0017] The production equipment monitoring module is used to acquire the operating parameters of the automated equipment during milk filling production, and then calculate the equipment operation evaluation coefficient of the automated equipment during milk filling production.

[0018] The integrated equipment quality analysis module is used to analyze the integrated operation evaluation index of the automated equipment during milk filling production based on the integrated quality evaluation coefficient of each milk to be tested and the mechanical operation evaluation coefficient of the automated equipment during milk filling production. This analysis determines whether there are any abnormalities in the operating status of the automated equipment during milk filling production.

[0019] The early warning terminal is used to issue early warnings when the overall quality of a milk container does not meet production requirements or when the automated equipment malfunctions during milk filling.

[0020] The beneficial effects of this invention are as follows: 1. The method and management system for monitoring and managing the production of bottled milk provided by this invention achieves comprehensive quality monitoring of bottled milk during the production process by setting up quality detection lines and conducting sampling. This facilitates the timely detection of problematic products. During the milk quality parameter collection process, sampling and testing are conducted on each milk sample as it is transported via conveyor belt, obtaining the corresponding quality parameters for each milk sample. This facilitates rapid and accurate data collection, providing strong support for subsequent quality analysis and enabling refined management of quality control during the production process. In the milk quality analysis stage, by calculating the comprehensive quality assessment coefficient corresponding to each milk sample, the quality of the milk can be objectively evaluated, and products that do not meet production requirements can be identified and dealt with in a timely manner, thereby improving the overall quality level of the products.

[0021] 2. In the production equipment monitoring step of this invention, by acquiring the corresponding operating parameters of the automated equipment during milk filling production, and then calculating the equipment operation evaluation coefficient, it is beneficial to monitor the operating status of the equipment in real time, predict and prevent potential equipment failures, and ensure the stable operation of the production line. In the comprehensive equipment quality analysis process, by combining milk quality evaluation and equipment operation evaluation, a comprehensive operation evaluation index is obtained. This comprehensive analysis method is conducive to accurately judging whether the operating status of the automated equipment is abnormal, providing a basis for timely maintenance and adjustment, thereby ensuring efficient and safe production. Attached Figure Description

[0022] 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 only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the implementation steps of the present invention.

[0024] Figure 2 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation

[0025] 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, and 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.

[0026] Please see Figure 1 As shown, the present invention provides a method for monitoring the production of bottled milk. The method includes: Step 1, monitoring process analysis: setting up a quality detection line in the production line corresponding to the bottled milk and taking samples to achieve comprehensive quality monitoring of the bottled milk during the production process. The containers that have completed the filling of milk are recorded as each milk container, and the sampled milk containers are recorded as each milk to be tested.

[0027] In one specific embodiment, the process of monitoring the volume of milk during the production process is as follows: The milk production line includes a cleaning line, a filling line, a sealing line, and a packaging line. Quality inspection lines are set between the sealing line and the packaging line. When milk containers are transferred between the sealing line and the packaging line, samples are taken by an automated mechanical device according to a set sampling frequency. The sampled milk containers are then placed on a placement pad set in the quality inspection line. The placement pad is equipped with a weight detection function, and an ultrasonic sensor is set above the quality inspection line. Milk containers that do not meet the production requirements in terms of overall quality are marked, thereby achieving comprehensive quality monitoring of milk during the production process.

[0028] Step 2: Milk quality parameter collection: Samples are taken from each milk sample as it is transported by conveyor belt to obtain the corresponding quality parameters for each milk sample.

[0029] In a specific embodiment, the process of obtaining the quality parameters corresponding to each milk to be tested is as follows: the quality parameters include weight, milk level, signal reflection intensity value and signal delay time. The weight of each milk to be tested is obtained by using the quality detection function of the pad.

[0030] An ultrasonic sensor emits an ultrasonic signal above each milk sample and records the emission time. The ultrasonic signal propagates in the air and is partially reflected when it encounters a liquid surface. The ultrasonic sensor receives the reflected ultrasonic signal and records the reception time. By recording the emission and reception times, the time difference between the emission and reception of the ultrasonic signal is obtained. Multiplying the speed of sound by the time difference between the emission and reception of the ultrasonic signal gives the distance between the ultrasonic sensor and the milk surface. Subtracting the thickness of the bottom of the milk container from the distance between the ultrasonic sensor and the pad, and then subtracting the distance between the ultrasonic sensor and the milk surface, gives the result as the milk surface height. Thus, the corresponding milk surface height for each milk sample is obtained.

[0031] The ultrasonic sensor is directed towards the seal of each milk sample to be tested and emits ultrasonic signals. The emission and reception times are recorded. The time difference between the emission and reception of the ultrasonic signal is the signal delay. The reflection intensity value of the ultrasonic signal is read from the ultrasonic sensor. Thus, the signal reflection intensity value and signal delay value corresponding to the use of the ultrasonic sensor to detect the seal of each milk sample are obtained.

[0032] It should be noted that the ultrasonic sensor must be correctly installed above the quality inspection line to inspect each milk sample at the set height and angle. If the milk container is not properly sealed, air will enter, causing a partial vacuum inside the container. This will affect the milk level during the filling process. During filling, the air inside the milk container needs to be expelled to ensure that the milk is filled according to the set capacity standard. If the air cannot be effectively expelled, the actual amount of milk filled will not reach the standard.

[0033] It should also be noted that the signal reflection intensity value reflects the energy of the ultrasonic wave reflected between the sensor and the milk container. For a well-sealed milk container, the surface is usually relatively flat, and the ultrasonic wave can be reflected relatively uniformly on the surface of the container, thus producing a reflection intensity value higher than the standard value. The signal delay time reflects the time between the ultrasonic wave being emitted from the sensor and received. Inside a completely sealed milk container, the propagation speed and path of the ultrasonic wave are stable and predictable, so the signal delay time will be close to the standard value. If there is a sealing problem in the milk container, the ultrasonic wave will encounter irregular air gaps or material obstructions, which will increase the uncertainty of the signal propagation path and thus cause changes in the signal delay time.

[0034] Step 3: Milk Quality Analysis: Based on the quality parameters of each milk sample to be tested, calculate the comprehensive quality evaluation coefficient for each milk sample to be tested, and then analyze whether the comprehensive quality of each milk sample to be tested meets the production requirements.

[0035] In a specific embodiment, the calculation of the comprehensive quality evaluation coefficient corresponding to each milk to be tested is carried out as follows: the standard quality parameters corresponding to the production process of the bottled milk are obtained from the database. The standard quality parameters include standard weight, standard milk liquid level height, standard signal reflection intensity value and standard signal delay time.

[0036] Calculation formula: The comprehensive quality assessment coefficients for each milk sample were obtained. , This indicates the corresponding number for each milk sample to be tested. , It is any integer greater than 2. This represents the total number of milk samples to be tested, where... , , , Represented as the first The data includes the weight of the milk to be tested, the milk level, the signal reflection intensity, and the signal delay time. , , , This is expressed as standard weight, standard milk level, standard signal reflection intensity, and standard signal delay duration. , , , These are the weighting factors corresponding to the set weight, the weighting factor corresponding to the milk surface height, the weighting factor corresponding to the signal reflection intensity value, and the weighting factor corresponding to the signal delay duration, respectively.

[0037] It should be noted that, , , , The values ​​are all greater than and less than .

[0038] It should also be noted that the number of times the weight, milk level, signal reflection intensity, and signal delay duration of the milk to be tested meet the production requirements when the overall quality of the milk meets the production requirements is obtained from the database. The total number of non-compliance is obtained by summing these numbers. The number of times the weight, milk level, signal reflection intensity, and signal delay duration of the milk to be tested meet the production requirements when the overall quality of the milk meets the production requirements is then divided by the total number of non-compliance. The results are the set weight factors for the weight, milk level, signal reflection intensity, and signal delay duration, respectively.

[0039] In a specific embodiment, the analysis of whether the overall quality of each milk to be tested meets the production requirements is carried out as follows: The overall quality evaluation coefficient of each milk to be tested is compared with a set overall quality evaluation coefficient threshold. If the overall quality evaluation coefficient of a milk to be tested is greater than or equal to the set overall quality evaluation coefficient threshold, it indicates that the overall quality of the milk to be tested meets the production requirements. If the overall quality evaluation coefficient of a milk to be tested is less than the set overall quality evaluation coefficient threshold, it indicates that the overall quality of the milk to be tested does not meet the production requirements. This is used to analyze whether the overall quality of each milk to be tested meets the production requirements.

[0040] Step 4: Production Equipment Monitoring: Obtain the operating parameters of the automated equipment during milk filling production, and then calculate the equipment operation evaluation coefficient of the automated equipment during milk filling production.

[0041] In a specific embodiment, the acquisition process for obtaining the operating parameters of the automated equipment during milk filling production is as follows: The operating parameters include the milk flow rate in the pipeline, the filling pressure, and the filling speed. Measurement points are set up in the milk conveying pipeline, and electromagnetic flowmeters are used to monitor each measurement point to obtain the milk flow rate at each measurement point. The average value is then calculated to obtain the milk flow rate in the pipeline. Pressure sensors are set up at each filling head of the filling equipment to detect each pressure value. The average value of each pressure value is then calculated to obtain the filling pressure corresponding to the automated equipment during milk filling production. The automated equipment uses a motor-driven pump to operate, and the filling speed corresponding to the automated equipment during milk filling production is obtained by reading the display page of the motor-driven pump.

[0042] In a specific embodiment, the calculation process for the machine operation evaluation coefficient of the automated equipment during milk filling production is as follows: the standard operating parameters of the automated equipment during milk filling production are obtained from the database. The standard operating parameters include the standard flow rate of milk in the pipeline, the standard filling pressure, and the standard filling speed.

[0043] Through calculation formula The machine operation evaluation coefficient corresponding to automated equipment in milk filling production. ,in , , These represent the milk flow rate in the pipeline, filling pressure, and filling speed, respectively. , , These represent the standard flow rate of milk in the pipeline, the standard filling pressure, and the standard filling speed, respectively. , , These are the weighting factors corresponding to the set milk flow rate in the pipeline, the weighting factor corresponding to the filling pressure, and the weighting factor corresponding to the filling speed, respectively.

[0044] It should be noted that, , , The values ​​are all greater than and less than .

[0045] It should also be noted that the number of times the automated equipment malfunctioned due to unqualified milk flow rate in the pipeline, unqualified filling pressure, and unqualified filling speed were obtained from the database, and the total number of these instances was accumulated. Then, the number of these instances was divided by the total number of instances, and the results are the set weighting factors for the milk flow rate in the pipeline, filling pressure, and filling speed, respectively.

[0046] Step 5: Comprehensive Equipment Quality Analysis: Based on the comprehensive quality evaluation coefficient of each milk to be tested and the machine operation evaluation coefficient of the automated equipment during milk filling production, the comprehensive operation evaluation index of the automated equipment during milk filling production is analyzed. This analysis determines whether there are any abnormalities in the operating status of the automated equipment during milk filling production.

[0047] In a specific embodiment, the comprehensive operational evaluation index of the automated equipment during milk bottling production is analyzed, and the specific analysis process is as follows: The calculation formula is as follows: The comprehensive operational evaluation index of automated equipment during milk bottling production was obtained. ,in , These are the weighting factors corresponding to the set comprehensive quality assessment coefficient and the weighting factors corresponding to the instrument operation assessment coefficient, respectively.

[0048] It should be noted that, , The values ​​are all greater than and less than .

[0049] It should also be noted that the weighting factors corresponding to the historical comprehensive quality evaluation coefficients and the weighting factors corresponding to the historical medical device operation evaluation coefficients are obtained from the database. The median is then selected from the weighting factors corresponding to the historical comprehensive quality evaluation coefficients and the weighting factors corresponding to the historical medical device operation evaluation coefficients. The results are the set weighting factors corresponding to the comprehensive quality evaluation coefficients and the weighting factors corresponding to the medical device operation evaluation coefficients.

[0050] In a specific embodiment, the analysis determines whether the automated equipment's operating status is abnormal during milk bottling. The specific analysis process is as follows: The standard comprehensive operating evaluation index for the automated equipment during milk bottling is obtained from the database. The comprehensive operating evaluation index for the automated equipment during milk bottling is compared with the standard comprehensive operating evaluation index. If the comprehensive operating evaluation index for the automated equipment during milk bottling is greater than or equal to the standard comprehensive operating evaluation index, it indicates that the automated equipment's operating status is normal during milk bottling. If the comprehensive operating evaluation index for the automated equipment during milk bottling is less than the standard comprehensive operating evaluation index, it indicates that the automated equipment's operating status is abnormal during milk bottling.

[0051] In the production equipment monitoring step of this invention, the operating parameters of the automated equipment during milk filling are obtained, and then the equipment operation evaluation coefficient is calculated. This facilitates real-time monitoring of the equipment's operating status, predicts and prevents potential equipment failures, and ensures the stable operation of the production line. In the comprehensive equipment quality analysis process, the comprehensive operation evaluation index is derived by combining milk quality evaluation and equipment operation evaluation. This comprehensive analysis method helps to accurately determine whether the operating status of the automated equipment is abnormal, providing a basis for timely maintenance and adjustment, thereby ensuring efficient and safe production.

[0052] Step Six: Early Warning Prompt: An early warning prompt will be issued when the overall quality of a milk container does not meet production requirements or when the automated equipment malfunctions during milk filling.

[0053] Please see Figure 2 As shown, a milk filling production monitoring and management system includes the following modules: a monitoring process analysis module, a milk quality parameter acquisition module, a milk quality analysis module, a production equipment monitoring module, a comprehensive equipment quality analysis module, an early warning terminal, and a database.

[0054] The monitoring process analysis module is connected to the milk quality parameter acquisition module, which in turn is connected to the milk quality analysis module. The milk quality analysis module is connected to the production equipment monitoring module, the early warning terminal, and the database. The production equipment monitoring module is connected to the comprehensive equipment quality analysis module and the database. The comprehensive equipment quality analysis module is connected to the early warning terminal and the database.

[0055] The monitoring process analysis module is used to set up quality inspection lines in the production line corresponding to milk filling and to take samples, thereby realizing comprehensive quality monitoring of milk filling during the production process. The containers that have completed milk filling are recorded as milk containers, and the sampled milk containers are recorded as milk to be tested.

[0056] The milk quality parameter acquisition module is used to sample and test each milk to be tested as it is transported by the conveyor belt, and to obtain the corresponding quality parameters of each milk to be tested.

[0057] The milk quality analysis module is used to calculate the comprehensive quality evaluation coefficient of each milk to be tested based on the quality parameters of each milk to be tested, thereby analyzing whether the comprehensive quality of each milk to be tested meets the production requirements.

[0058] The production equipment monitoring module is used to acquire the operating parameters of the automated equipment during milk filling production, and then calculate the equipment operation evaluation coefficient of the automated equipment during milk filling production.

[0059] The comprehensive equipment quality analysis module is used to analyze the comprehensive operation evaluation index of the automated equipment during milk filling production based on the comprehensive quality evaluation coefficient of each milk to be tested and the mechanical operation evaluation coefficient of the automated equipment during milk filling production. This analysis determines whether there are any abnormalities in the operation status of the automated equipment during milk filling production.

[0060] The early warning terminal is used to issue early warnings when the overall quality of a milk container does not meet production requirements or when the automated equipment malfunctions during milk filling.

[0061] The database stores standard weight, standard milk level, standard signal reflection intensity, and standard signal delay duration for milk during the filling process. It also stores standard flow rate, standard filling pressure, and standard filling speed for milk in pipelines during automated milk filling. Furthermore, it stores the standard comprehensive operational evaluation index for automated milk filling. The database also stores the number of times the milk to be tested fails to meet production requirements in terms of weight, milk level, signal reflection intensity, and signal delay duration. Additionally, it stores the number of times unacceptable milk flow rate, filling pressure, and filling speed in the pipeline cause abnormal operation of the automated equipment.

[0062] This invention provides a method and management system for monitoring and managing the production of bottled milk. During the bottled milk production process, by setting up quality inspection lines and conducting sampling, comprehensive quality monitoring of bottled milk is achieved, facilitating the timely detection of problematic products. In the milk quality parameter collection process, sampling and testing are performed on each milk sample as it is transported via conveyor belt, obtaining the corresponding quality parameters for each sample. This facilitates rapid and accurate data collection, providing strong support for subsequent quality analysis and enabling refined management of quality control during the production process. In the milk quality analysis stage, by calculating the comprehensive quality assessment coefficient for each milk sample, the quality of the milk can be objectively evaluated, allowing for the timely detection and handling of products that do not meet production requirements, thereby improving the overall product quality level.

[0063] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A method for monitoring the production of bottled milk, characterized in that, include: Step 1: Monitoring process analysis: Set up a quality inspection line in the production line corresponding to the milk filling process and take samples to achieve comprehensive quality monitoring of the milk filling process. The containers that have completed milk filling are recorded as milk containers, and the sampled milk containers are recorded as milk containers to be tested. Step 2: Milk quality parameter collection: Sampling and testing are carried out on each milk sample as it is transported by conveyor belt to obtain the corresponding quality parameters for each milk sample. Step 3: Milk quality analysis: Based on the quality parameters of each milk sample to be tested, calculate the comprehensive quality evaluation coefficient for each milk sample to be tested, and then analyze whether the comprehensive quality of each milk sample to be tested meets the production requirements. Step 4: Production Equipment Monitoring: Obtain the operating parameters of the automated equipment during milk filling production, and then calculate the equipment operation evaluation coefficient of the automated equipment during milk filling production. Retrieve the standard operating parameters of the automated equipment during milk filling production from the database. The standard operating parameters include the standard flow rate of milk in the pipeline, the standard filling pressure, and the standard filling speed. Through calculation formula The machine operation evaluation coefficient corresponding to automated equipment in milk filling production. ,in , , These represent the milk flow rate in the pipeline, filling pressure, and filling speed, respectively. , , These represent the standard flow rate of milk in the pipeline, the standard filling pressure, and the standard filling speed, respectively. , , These are the weighting factors corresponding to the set milk flow rate in the pipeline, the weighting factor corresponding to the filling pressure, and the weighting factor corresponding to the filling speed, respectively. Step 5: Comprehensive Equipment Quality Analysis: Based on the comprehensive quality evaluation coefficient of each milk to be tested and the machine operation evaluation coefficient of the automated equipment during milk filling production, the comprehensive operation evaluation index of the automated equipment during milk filling production is analyzed. This analysis determines whether there are any abnormalities in the operating status of the automated equipment during milk filling production. Through calculation formula The comprehensive operational evaluation index of automated equipment during milk bottling production was obtained. ,in , These are the weighting factors corresponding to the set comprehensive quality assessment coefficient and the weighting factors corresponding to the instrument operation assessment coefficient, respectively. Step Six: Early Warning Prompt: An early warning prompt will be issued when the overall quality of a milk container does not meet production requirements or when the automated equipment malfunctions during milk filling.

2. The method for monitoring the production of bottled milk according to claim 1, characterized in that, The specific implementation process for monitoring the volume of milk during the production process is as follows: The milk bottling production line includes a cleaning line, a filling line, a sealing line, and a packaging line. Quality inspection lines are set up between the sealing and packaging lines. When milk containers are transferred between these lines, samples are taken using automated machinery according to a set sampling frequency. The sampled milk containers are then placed on a pad set up in the quality inspection line. This pad is equipped with a weight detection function, and an ultrasonic sensor is installed above the quality inspection line. Milk containers that do not meet the overall quality requirements are marked, thus achieving comprehensive quality monitoring of the bottling process.

3. The method for monitoring the production of bottled milk according to claim 2, characterized in that, The specific process for obtaining the quality parameters corresponding to each milk sample is as follows: The quality parameters include weight, milk level, signal reflection intensity, and signal delay. The weight of each milk sample is obtained by using the quality detection function of the pad. An ultrasonic sensor emits an ultrasonic signal above each milk sample and records the emission time. The ultrasonic signal propagates in the air and is partially reflected when it encounters a liquid surface. The ultrasonic sensor receives the reflected ultrasonic signal and records the reception time. By recording the emission and reception times, the time difference between the emission and reception of the ultrasonic signal is obtained. Multiplying the speed of sound by the time difference between the emission and reception of the ultrasonic signal gives the distance between the ultrasonic sensor and the milk surface. Subtracting the thickness of the bottom of the milk container from the distance between the ultrasonic sensor and the pad, and then subtracting the distance between the ultrasonic sensor and the milk surface, gives the result as the milk surface height. Thus, the corresponding milk surface height for each milk sample is obtained. The ultrasonic sensor is directed towards the seal of each milk sample to be tested and emits ultrasonic signals. The emission and reception times are recorded. The time difference between the emission and reception of the ultrasonic signal is the signal delay. The reflection intensity value of the ultrasonic signal is read from the ultrasonic sensor. Thus, the signal reflection intensity value and signal delay value corresponding to the use of the ultrasonic sensor to detect the seal of each milk sample are obtained.

4. The method for monitoring the production of bottled milk according to claim 3, characterized in that, The calculation process for the comprehensive quality assessment coefficient corresponding to each milk sample is as follows: Retrieve the standard quality parameters corresponding to the production process of bottled milk from the database. The standard quality parameters include standard weight, standard milk level, standard signal reflection intensity value, and standard signal delay duration. Calculation formula: The comprehensive quality assessment coefficients for each milk sample were obtained. , This indicates the corresponding number for each milk sample to be tested. , It is any integer greater than 2. This represents the total number of milk samples to be tested, where... , , , Represented as the first The data includes the weight of the milk to be tested, the milk level, the signal reflection intensity, and the signal delay time. , , , This is expressed as standard weight, standard milk level, standard signal reflection intensity, and standard signal delay duration. , , , These are the weighting factors corresponding to the set weight, the weighting factor corresponding to the milk surface height, the weighting factor corresponding to the signal reflection intensity value, and the weighting factor corresponding to the signal delay duration, respectively.

5. The method for monitoring the production of bottled milk according to claim 4, characterized in that, The analysis process for determining whether the overall quality of each milk sample meets production requirements is as follows: The comprehensive quality assessment coefficient corresponding to each milk to be tested is compared with the set comprehensive quality assessment coefficient threshold. If the comprehensive quality assessment coefficient corresponding to a certain milk to be tested is greater than or equal to the set comprehensive quality assessment coefficient threshold, it means that the comprehensive quality of the milk to be tested meets the production requirements. If the comprehensive quality assessment coefficient corresponding to a certain milk to be tested is less than the set comprehensive quality assessment coefficient threshold, it means that the comprehensive quality of the milk to be tested does not meet the production requirements. This is used to analyze whether the comprehensive quality of each milk to be tested meets the production requirements.

6. The method for monitoring the production of bottled milk according to claim 5, characterized in that, The specific process for obtaining the operating parameters of the automated equipment during milk bottling production is as follows: The operating parameters include the milk flow rate in the pipeline, filling pressure, and filling speed. Measurement points are set up in the milk conveying pipeline, and electromagnetic flowmeters are used to monitor the flow rate at each point. The average flow rate is then calculated to obtain the milk flow rate in the pipeline. Pressure sensors are installed at each filling head of the filling equipment to detect pressure values. These pressure values ​​are averaged to obtain the filling pressure corresponding to the automated equipment during milk production. The automated equipment uses a motor-driven pump, and the filling speed is obtained by reading the display page of the motor-driven pump.

7. The method for monitoring the production of bottled milk according to claim 1, characterized in that, The analysis determines whether any abnormalities occur in the operating status of the automated equipment during milk bottling production. The specific analysis process is as follows: The standard comprehensive operation evaluation index corresponding to the automated equipment in milk bottling production is obtained from the database. The comprehensive operation evaluation index corresponding to the automated equipment in milk bottling production is compared with the standard comprehensive operation evaluation index. If the comprehensive operation evaluation index corresponding to the automated equipment in milk bottling production is greater than or equal to the standard comprehensive operation evaluation index, it indicates that the operation status of the automated equipment in milk bottling production is normal. If the comprehensive operation evaluation index corresponding to the automated equipment in milk bottling production is less than the standard comprehensive operation evaluation index, it indicates that the operation status of the automated equipment in milk bottling production is abnormal.

8. A milk filling production monitoring and management system for implementing the milk filling production monitoring method according to any one of claims 1-7, characterized in that, Includes the following modules: The monitoring process analysis module is used to set up quality inspection lines in the production line corresponding to milk filling and to take samples, thereby realizing comprehensive quality monitoring of milk filling during the production process. The containers that have completed milk filling are recorded as milk containers, and the sampled milk containers are recorded as milk to be tested. The milk quality parameter acquisition module is used to sample and test each milk to be tested as it is transported by the conveyor belt, and to obtain the corresponding quality parameters of each milk to be tested. The milk quality analysis module is used to calculate the comprehensive quality evaluation coefficient of each milk to be tested based on the quality parameters of each milk to be tested, thereby analyzing whether the comprehensive quality of each milk to be tested meets the production requirements. The production equipment monitoring module is used to acquire the operating parameters of the automated equipment during milk filling production, and then calculate the equipment operation evaluation coefficient of the automated equipment during milk filling production. The comprehensive equipment quality analysis module is used to analyze the comprehensive operation evaluation index of the automated equipment during milk filling production based on the comprehensive quality evaluation coefficient of each milk to be tested and the mechanical operation evaluation coefficient of the automated equipment during milk filling production. This analysis determines whether there are any abnormalities in the operation status of the automated equipment during milk filling production. The early warning terminal is used to issue early warnings when the overall quality of a milk container does not meet production requirements or when the automated equipment malfunctions during milk filling.

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