Artificial intelligence-based production line synchronous monitoring system and method

Abstract

The invention discloses a production line synchronous monitoring system and method based on artificial intelligence, and belongs to the technical field of production line supervision. The system comprises a control module, a data acquisition module, an intelligent analysis module, a calculation control module and an interaction module, the control module is used for controlling the sterile rice production line to be started and closed, and when the sterile rice production line is started, rice is processed, and the rice is produced into sterile rice; the data acquisition module is used for acquiring production data generated during rice processing; the intelligent analysis module is used for storing historical production data and determining a yield statistical value under each process step during rice processing; the calculation control module is used for determining the true value of the finished product rate under each current process step during rice processing; calculating the weight of rice needing to be compensated for in the next raw material selection of the sterile rice production line, and performing dynamic adjustment; and the interaction module is used for providing an interaction platform and carrying out digital display.

Description

Technical Field

[0001] The present invention relates to the technical field of production line supervision, and in particular to a production line synchronization monitoring system and method based on artificial intelligence. Background Art

[0002] Synchronous production line monitoring refers to the use of sensors and monitoring equipment to conduct real-time monitoring and data collection on each link of the production line during the industrial production process. By combining the production line with artificial intelligence, it is possible to accurately identify the real-time situation of the production line during the production process, thereby automatically adjusting the operating parameters of the production equipment and improving the operating efficiency of the production line and product quality.

[0003] In the aseptic rice production line, the performance of the production line fluctuates due to factors such as equipment wear and aging, and the environment. During the production process, even the same batch of products will affect the overall production efficiency. At this time, the aseptic rice production line needs to be adjusted in time; the existing technology has deficiencies in the synchronous monitoring of the aseptic packaged rice production process, and cannot achieve high-precision coordinated control, which easily leads to an increase in production costs and affects the production efficiency of the product. Summary of the invention

[0004] The purpose of the present invention is to provide a production line synchronization monitoring system and method based on artificial intelligence to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a production line synchronization monitoring method based on artificial intelligence, the method comprising the following steps:

[0006] Step S1, starting the sterile rice production line to process the rice to produce sterile rice; the processing steps are raw material selection, cleaning and screening, soaking, cooking, cooling and disinfection, and finished product packaging;

[0007] Step S2, synchronously monitoring the process steps of rice processing in the sterile rice production line, and collecting production data generated during the rice processing; the production data includes the weight of rice after each process step is completed; wherein the production data is divided into historical production data and real-time production data;

[0008] Step S3, the historical production data is stored in a database and continuously updated, the historical production data stored in the database is analyzed, and the statistical value of the yield rate under each process step during rice processing is determined;

[0009] Step S4, analyzing the real-time production data to determine the true value of the yield rate at each current process step during rice processing; according to the statistical value of the yield rate and the true value of the yield rate at each process step during rice processing, calculating the rice weight required to be compensated for the next raw material selection of the sterile rice production line and dynamically adjusting the rice weight of the next raw material selection;

[0010] Step S5, repeating steps S1 to S4 until the sterile rice production line is closed.

[0011] A production line synchronization monitoring system based on artificial intelligence, the system includes a control module, a data acquisition module, an intelligent analysis module, a calculation control module and an interaction module;

[0012] The control module is used to control the start and stop of the sterile rice production line. When the sterile rice production line is started, the rice is processed to produce sterile rice; the processing steps are raw material selection, cleaning and screening, soaking, steaming, cooling and disinfection, and finished product packaging;

[0013] The data acquisition module is used to synchronously monitor the process steps of rice processing in the sterile rice production line in the control module, and collect production data generated during rice processing; the production data includes the weight of rice after each process step; wherein the production data is divided into historical production data and real-time production data; the historical production data is sent to the intelligent analysis module, and the real-time production data is sent to the calculation control module;

[0014] The intelligent analysis module is used to store the historical production data sent by the data acquisition module in a database and continuously update it, analyze the historical production data stored in the database, and determine the statistical value of the yield rate at each process step during rice processing; send the statistical value of the yield rate at each process step during rice processing to the calculation control module and the interaction module, and send the historical production data analysis result to the interaction module;

[0015] The calculation control module is used to analyze the real-time production data sent by the data acquisition module to determine the true value of the yield rate at each current process step during rice processing; according to the statistical value of the yield rate at each current process step during rice processing and the true value of the yield rate, calculate the rice weight required to be compensated for the next raw material selection of the sterile rice production line and dynamically adjust the rice weight of the next raw material selection; send the true value of the yield rate at each current process step during rice processing, the rice weight required to be compensated for the next raw material selection of the sterile rice production line, and the real-time production data analysis result to the interactive module;

[0016] The interactive module is used to provide an interactive platform to digitally display the collected production data generated during rice processing, the statistical value of the yield rate at each process step during rice processing, the actual value of the yield rate at each current process step during rice processing, and the rice weight that needs to be compensated for the next raw material selection of the sterile rice production line.

[0017] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: by determining the statistical value of the yield rate at each process step during rice processing, and comparing and analyzing the statistical value of the yield rate with the actual value of the yield rate, abnormal fluctuations of the sterile rice production line during rice processing at each process step can be discovered, thereby improving the accuracy of synchronous monitoring of the sterile rice production line; by calculating the weight of rice that needs to be compensated for the next raw material selection of the sterile rice production line, the influence of the overall production efficiency of the sterile rice production line on the production results is taken into account, and by dynamically adjusting the weight of rice for the next raw material selection, the system's coordination control capability for sterile rice production and the system's production efficiency are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the steps of a production line synchronization monitoring method based on artificial intelligence of the present invention;

[0019] Figure 2 It is a structural schematic diagram of a production line synchronization monitoring system based on artificial intelligence of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1-Figure 2 , the present invention provides a technical solution:

[0022] See also Figure 1 In the first embodiment, a production line synchronization monitoring method based on artificial intelligence is provided, and the method comprises the following steps:

[0023] Step S1, start the sterile rice production line to process the rice to produce sterile rice; the processing steps are raw material selection, cleaning and screening, soaking, cooking, cooling and disinfection, and finished product packaging.

[0024] Furthermore, when the sterile rice production line is started, the weight of rice selected as the initial raw material for each rice processing is determined according to the required number of sterile rice boxes and the set time; wherein, after each rice processing step is completed, the weight of the rice is measured, and the weight of the rice measured after each rice processing step is completed is used as the weight of the rice before the start of the next process step.

[0025] In this embodiment, during the processing of rice by the sterile rice production line in each process step, the operating parameters of the sterile rice production line remain unchanged; for example, the soaking time of rice during the soaking process; the amount of water used in a fixed proportion during the steaming process, and the temperature when the rice is cooked.

[0026] It should be noted that since the sterile rice production lines have different production capacities, that is, the number of sterile rice boxes produced per unit time is different, the production capacity of the selected sterile rice production line is determined by determining the required number of sterile rice boxes and the set time, and the weight of rice when the initial raw materials are selected in each processing step of the rice is obtained, so that the system can produce the corresponding number of boxes of sterile rice within the set time, thereby improving production efficiency.

[0027] Step S2, synchronously monitoring the process steps of rice processing in the sterile rice production line, and collecting production data generated during the rice processing; the production data includes the weight of rice after each process step is completed; wherein the production data is divided into historical production data and real-time production data.

[0028] It should be noted that after each process step is completed, the weight of rice is collected by a weighing device; by analyzing the weight of rice after each process step is completed, the influencing factors of rice processing at the corresponding process step can be understood; in this embodiment, the finished products after each process step are called rice; among them, the weight of the rice after the finished product is packaged is the total weight after weighing minus the weight of the sterile rice packaging bag.

[0029] Step S3, storing the historical production data in a database and continuously updating it, analyzing the historical production data stored in the database, and determining the statistical value of the yield rate in each process step during rice processing.

[0030] Specifically, the method steps are:

[0031] Step S31, establish a database, store the production data collected in step S2 as historical production data in the database and continuously update it; retrieve the stored historical production data from the database for analysis, and determine the set W consisting of the weight of rice after each process step in each batch 1 , W 2 , ..., Wn ;in, W i represents the set of rice weights after each process step in the i-th batch analyzed; i∈{1,2,...,n}; n represents the number of historical production data batches analyzed; represents the weight of rice after each process step in the i-th batch analyzed; m represents the number of process steps in rice processing;

[0032] Step S32: According to the historical production data analysis results in step S31, the least square method is used to determine the statistical values ​​of the yield rate C2, C3, ..., C3 in each process step during rice processing. m-1 , C m , according to the calculation formula:

[0033]

[0034] Where E represents the error function, which is used to determine the minimum value of C j ; C j represents the statistical value of the yield rate at the jth process step during rice processing; j∈{2,3,...,m}; represents the weight of rice after the jth process step in the i-th batch analyzed; It represents the weight of rice after the j-1th process step under the i-th batch analyzed.

[0035] It should be noted that, by continuously updating the historical production data in the database, analyzing the updated historical production data in the database, and using the least squares method, the statistical value of the yield rate at each process step during rice processing is determined, thereby realizing autonomous learning of the statistical value of the yield rate at each process step during rice processing; the determined statistical value of the yield rate is compared and analyzed with the true value of the yield rate, thereby discovering abnormal fluctuations in the sterile rice production line when processing rice at each process step, and realizing intelligent control of the sterile rice production line by compensating for the abnormal fluctuations, thereby improving the accuracy of synchronous monitoring of the sterile rice production line.

[0036] In this embodiment, the process steps of rice processing are raw material selection, cleaning and screening, soaking, cooking, cooling and disinfection, and finished product packaging, so m=6, and the process steps correspond to the numbers.

[0037] Step S4, analyzing the real-time production data to determine the true value of the yield rate at each current process step during rice processing; according to the statistical value of the yield rate and the true value of the yield rate at each process step during rice processing, calculating the rice weight required to be compensated for the next raw material selection of the sterile rice production line and dynamically adjusting the rice weight for the next raw material selection.

[0038] Specifically, the method steps are:

[0039] Step S41: Analyze the real-time production data collected in step S2 to determine the weight of rice measured after each process step is completed. and confirm The weight of rice before the corresponding process step is Z2, ..., Z m-1 , Z m ;according to and Z2, ..., Z m-1 , Z m , determine the actual value of the yield rate at each process step during rice processing According to the calculation formula:

[0040]

[0041] in, It represents the actual value of the yield rate at the jth process step during the current rice processing; represents the weight of rice measured after the jth process step; Z j represents the weight of rice before the start of the current j-th process step; j∈{2,3,...,m};

[0042] Step S42: According to C2, C3, ..., C m-1 , C m and Calculate the rice weight x2 that needs to be compensated for the next raw material selection of the sterile rice production line so that x2 satisfies the conditional formula:

[0043]

[0044] Among them, x m represents the weight of rice that needs to be compensated in the mth process step; x m-1 represents the weight of rice that needs to be compensated in the m-1th process step and the remaining process steps; x3 represents the weight of rice that needs to be compensated in the third process step;

[0045] Step S43, dynamically adjusting the weight of rice for the next raw material selection according to the weight H of rice initially selected as the raw material during each rice processing and x2 calculated in step S42, and adjusting the weight of rice for the next raw material selection to H+2x2.

[0046] It should be noted that in the above conditional formula, m>2;

[0047] In this embodiment, the weight of rice measured after each rice processing step is taken as the weight of rice before the next process step. When selecting raw materials, the weight of rice is obtained by direct measurement. Therefore, the weight of rice Z1 before the current raw material selection is not involved in the calculation of the above-mentioned true value of the yield rate.

[0048] It should be noted that there are different interference factors in each process step of the sterile rice production line, such as deviations in the temperature monitoring of rice during the steaming process and changes in the water content of rice during the cooling and disinfection process; these interference factors will interfere with the weight of rice in the corresponding process steps, and the system is often difficult to predict these superimposed influencing factors. Therefore, by synchronously monitoring each process step of the sterile rice production line, the yield deviation value at each process step during rice processing is calculated, and the weight of rice that needs to be compensated for the next raw material selection of the sterile rice production line is calculated based on the yield deviation value, thereby taking into account the impact of the overall production efficiency of the sterile rice production line on the production results, and dynamically adjusting the weight of rice for the next raw material selection, the system's coordination and control capabilities for sterile rice production and the system's production efficiency are improved.

[0049] Step S5, repeating steps S1 to S4 until the sterile rice production line is closed.

[0050] Furthermore, an interactive platform is provided to digitally display the collected production data generated during rice processing, the statistical value of the yield rate at each process step during rice processing, the actual value of the yield rate at each current process step during rice processing, and the rice weight that needs to be compensated for the next raw material selection on the sterile rice production line; wherein, the management personnel can determine the required number of sterile rice boxes and set the time through the interactive platform.

[0051] See also Figure 2 , in the second embodiment: a production line synchronization monitoring system based on artificial intelligence is provided, the system includes a control module, a data acquisition module, an intelligent analysis module, a calculation control module and an interaction module;

[0052] The control module is used to control the start and stop of the sterile rice production line. When the sterile rice production line is started, the rice is processed to produce sterile rice; the processing steps are raw material selection, cleaning and screening, soaking, steaming, cooling and disinfection, and finished product packaging;

[0053] The data acquisition module is used to synchronously monitor the process steps of rice processing in the sterile rice production line in the control module, and collect production data generated during rice processing; the production data includes the weight of rice after each process step; wherein the production data is divided into historical production data and real-time production data; the historical production data is sent to the intelligent analysis module, and the real-time production data is sent to the calculation control module;

[0054] The intelligent analysis module is used to store the historical production data sent by the data acquisition module in a database and continuously update it, analyze the historical production data stored in the database, and determine the statistical value of the yield rate at each process step during rice processing; send the statistical value of the yield rate at each process step during rice processing to the calculation control module and the interaction module, and send the historical production data analysis result to the interaction module;

[0055] The calculation control module is used to analyze the real-time production data sent by the data acquisition module to determine the true value of the yield rate at each current process step during rice processing; according to the statistical value of the yield rate at each current process step during rice processing and the true value of the yield rate, calculate the rice weight required to be compensated for the next raw material selection of the sterile rice production line and dynamically adjust the rice weight of the next raw material selection; send the true value of the yield rate at each current process step during rice processing, the rice weight required to be compensated for the next raw material selection of the sterile rice production line, and the real-time production data analysis result to the interactive module;

[0056] The interactive module is used to provide an interactive platform to digitally display the collected production data generated during rice processing, the statistical value of the yield rate at each process step during rice processing, the actual value of the yield rate at each current process step during rice processing, and the rice weight that needs to be compensated for the next raw material selection of the sterile rice production line.

[0057] It should be noted that the production data generated during the collection of rice processing is digitally displayed, and the displayed results are historical production data analysis results and real-time production data analysis results.

[0058] Furthermore, the intelligent analysis module includes a database, a historical data analysis unit and a statistical value determination unit;

[0059] The database is used to store historical production data and continuously update it;

[0060] The historical data analysis unit is used to retrieve the stored historical production data from the database for analysis, determine the weight of rice after each process step in each batch, and send the historical production data analysis results to the statistical value determination unit;

[0061] The statistical value determination unit is used to determine the statistical value of the yield rate in each process step during rice processing by using the least square method according to the historical production data analysis result sent by the historical data analysis unit.

[0062] Furthermore, the calculation control module includes a real-time data analysis unit, a true value determination unit, an intelligent calculation unit and a compensation control unit;

[0063] The real-time data analysis unit is used to analyze the real-time production data, determine the weight of rice measured after each current process step is completed, and determine the weight of rice before the corresponding process step starts; and send the real-time production data analysis result to the true value determination unit;

[0064] The true value determination unit is used to determine the true value of the yield rate at each current process step during rice processing and send it to the intelligent computing unit;

[0065] The intelligent calculation unit is used to calculate the rice weight required to be compensated for the next raw material selection of the sterile rice production line and send it to the compensation control unit;

[0066] The compensation control unit is used to dynamically adjust the weight of rice for the next raw material selection.

[0067] In this embodiment:

[0068] Processing and producing sterile rice through a sterile rice production line; controlling the sterile rice production line to start through a control module, processing the rice, and producing the rice into sterile rice;

[0069] The data acquisition module collects the production data generated during rice processing, and divides the production data into historical production data and real-time production data; sends the historical production data to the intelligent analysis module, and sends the real-time production data to the calculation and control module;

[0070] The intelligent analysis module establishes a database to store and continuously update historical production data; the historical data analysis unit retrieves the stored historical production data from the database for analysis to determine the weight of rice after each process step in each batch; the historical production data analysis result is sent to the statistical value determination unit; the statistical value determination unit determines the statistical value of the yield rate in each process step during rice processing; the statistical value of the yield rate in each process step during rice processing is sent to the calculation control module and the interaction module, and the historical production data analysis result is sent to the interaction module;

[0071] The real-time data analysis unit in the calculation control module analyzes the real-time production data, determines the weight of rice measured after the current process steps are completed, and determines the weight of rice before the corresponding process steps are started; sends the real-time production data analysis results to the true value determination unit; the true value determination unit determines the true value of the yield rate at the current process steps during rice processing and sends it to the intelligent calculation unit; the intelligent calculation unit calculates the rice weight required to be compensated for the next raw material selection of the sterile rice production line and sends it to the compensation control unit; the compensation control unit dynamically adjusts the rice weight for the next raw material selection; sends the true value of the yield rate at the current process steps during rice processing, the rice weight required to be compensated for the next raw material selection of the sterile rice production line, and the real-time production data analysis results to the interactive module;

[0072] The interactive module provides an interactive platform for digitally displaying the collected production data generated during rice processing, the statistical value of the yield rate at each process step during rice processing, the actual value of the yield rate at each current process step during rice processing, and the rice weight that needs to be compensated for the next raw material selection of the sterile rice production line.

[0073] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A production line synchronization monitoring method based on artificial intelligence, characterized in that: The method comprises the following steps: Step S1, starting the sterile rice production line to process the rice to produce sterile rice; the processing steps are raw material selection, cleaning and screening, soaking, cooking, cooling and disinfection, and finished product packaging; Step S2, synchronously monitoring the process steps of rice processing in the sterile rice production line, and collecting production data generated during the rice processing; the production data includes the weight of rice after each process step is completed; wherein the production data is divided into historical production data and real-time production data; Step S3, the historical production data is stored in a database and continuously updated, the historical production data stored in the database is analyzed, and the statistical value of the yield rate under each process step during rice processing is determined; Step S4, analyzing the real-time production data to determine the true value of the yield rate at each current process step during rice processing; according to the statistical value of the yield rate and the true value of the yield rate at each process step during rice processing, calculating the rice weight required to be compensated for the next raw material selection of the sterile rice production line and dynamically adjusting the rice weight of the next raw material selection; Step S5, repeating steps S1 to S4 until the sterile rice production line is closed.

2. The method for synchronous monitoring of a production line based on artificial intelligence according to claim 1, characterized in that: When the aseptic rice production line is started, the weight of rice selected as the initial raw material for each rice processing is determined according to the required number of aseptic rice boxes and the set time; wherein, after each rice processing step is completed, the weight of the rice is measured, and the weight of the rice measured after each rice processing step is completed is used as the weight of the rice before the next process step starts.

3. The method for synchronous monitoring of a production line based on artificial intelligence according to claim 2, characterized in that: The method steps of step S3 are: Step S31, establish a database, store the production data collected in step S2 as historical production data in the database and continuously update it; retrieve the stored historical production data from the database for analysis, and determine the set W consisting of the weight of rice after each process step in each batch 1 , W 2 , ..., W n ;in, W i represents the set of rice weights after each process step in the i-th batch analyzed; i∈{1,2,...,n}; n represents the number of historical production data batches analyzed; represents the weight of rice after each process step in the i-th batch analyzed; m represents the number of process steps in rice processing; Step S32: According to the historical production data analysis results in step S31, the least square method is used to determine the statistical values ​​of the yield rate C2, C3, ..., C3 in each process step during rice processing. m-1 , C m , according to the calculation formula: Where E represents the error function, which is used to determine the minimum value of C j ; C j represents the statistical value of the yield rate at the jth process step during rice processing; j∈{2,3,...,m}; represents the weight of rice after the jth process step in the i-th batch analyzed; It represents the weight of rice after the j-1th process step under the i-th batch analyzed.

4. The method for synchronous monitoring of a production line based on artificial intelligence according to claim 3, characterized in that: The method steps of step S4 are: Step S41: Analyze the real-time production data collected in step S2 to determine the weight of rice measured after each process step is completed. and confirm The weight of rice before the corresponding process step is Z2, ..., Z m-1 , Z m ;according to and Z2, ..., Z m-1 , Z m , determine the actual value of the yield rate at each process step during rice processing According to the calculation formula: in, It represents the actual value of the yield rate at the jth process step during the current rice processing; represents the weight of rice measured after the jth process step; Z j represents the weight of rice before the start of the current j-th process step; j∈{2,3,...,m}; Step S42: According to C2, C3, ..., C m-1 , C m and Calculate the rice weight x2 that needs to be compensated for the next raw material selection of the sterile rice production line so that x2 satisfies the conditional formula: Among them, x m represents the weight of rice that needs to be compensated in the mth process step; x m-1 represents the weight of rice that needs to be compensated in the m-1th process step and the remaining process steps; x3 represents the weight of rice that needs to be compensated in the third process step; Step S43, dynamically adjusting the weight of rice for the next raw material selection according to the weight H of rice initially selected as the raw material during each rice processing and x2 calculated in step S42, and adjusting the weight of rice for the next raw material selection to H+2x2.

5. The method for synchronous monitoring of a production line based on artificial intelligence according to claim 4, characterized in that: An interactive platform is provided to digitally display the production data generated during the collection of rice processing, the statistical value of the yield rate at each process step during the rice processing, the actual value of the yield rate at each current process step during the rice processing, and the rice weight that needs to be compensated for the next raw material selection on the sterile rice production line; among them, the management personnel can determine the required number of sterile rice boxes and set the time through the interactive platform.

6. A production line synchronization monitoring system based on artificial intelligence, characterized in that: The system includes a control module, a data acquisition module, an intelligent analysis module, a calculation control module and an interaction module; The control module is used to control the start and stop of the sterile rice production line. When the sterile rice production line is started, the rice is processed to produce sterile rice; the processing steps are raw material selection, cleaning and screening, soaking, steaming, cooling and disinfection, and finished product packaging; The data acquisition module is used to synchronously monitor the process steps of rice processing in the sterile rice production line in the control module, and collect production data generated during rice processing; the production data includes the weight of rice after each process step; wherein the production data is divided into historical production data and real-time production data; the historical production data is sent to the intelligent analysis module, and the real-time production data is sent to the calculation control module; The intelligent analysis module is used to store the historical production data sent by the data acquisition module in a database and continuously update it, analyze the historical production data stored in the database, and determine the statistical value of the yield rate at each process step during rice processing; send the statistical value of the yield rate at each process step during rice processing to the calculation control module and the interaction module, and send the historical production data analysis result to the interaction module; The calculation control module is used to analyze the real-time production data sent by the data acquisition module to determine the true value of the yield rate at each current process step during rice processing; according to the statistical value of the yield rate at each current process step during rice processing and the true value of the yield rate, calculate the rice weight required to be compensated for the next raw material selection of the sterile rice production line and dynamically adjust the rice weight of the next raw material selection; send the true value of the yield rate at each current process step during rice processing, the rice weight required to be compensated for the next raw material selection of the sterile rice production line, and the real-time production data analysis result to the interactive module; The interactive module is used to provide an interactive platform to digitally display the collected production data generated during rice processing, the statistical value of the yield rate at each process step during rice processing, the actual value of the yield rate at each current process step during rice processing, and the rice weight that needs to be compensated for the next raw material selection of the sterile rice production line.

7. The production line synchronization monitoring system based on artificial intelligence according to claim 6 is characterized by: The intelligent analysis module includes a database, a historical data analysis unit and a statistical value determination unit; The database is used to store historical production data and continuously update it; The historical data analysis unit is used to retrieve the stored historical production data from the database for analysis, determine the weight of rice after each process step in each batch, and send the historical production data analysis results to the statistical value determination unit; The statistical value determination unit is used to determine the statistical value of the yield rate in each process step during rice processing by using the least square method according to the historical production data analysis result sent by the historical data analysis unit.

8. The production line synchronization monitoring system based on artificial intelligence according to claim 7 is characterized in that: The calculation control module includes a real-time data analysis unit, a true value determination unit, an intelligent calculation unit and a compensation control unit; The real-time data analysis unit is used to analyze the real-time production data, determine the weight of rice measured after each current process step is completed, and determine the weight of rice before the corresponding process step starts; and send the real-time production data analysis result to the true value determination unit; The true value determination unit is used to determine the true value of the yield rate at each current process step during rice processing and send it to the intelligent computing unit; The intelligent calculation unit is used to calculate the rice weight required to be compensated for the next raw material selection of the sterile rice production line and send it to the compensation control unit; The compensation control unit is used to dynamically adjust the weight of rice for the next raw material selection.

Images