A tea sorting process monitoring method and system

Abstract

The present invention relates to the technical field of tea production and processing, and in particular to a tea sorting process monitoring method and system. The method comprises: obtaining tea picking information and tea primary processing information, setting a number of tea sorting stages, and each tea sorting stage corresponds to a screening purpose requirement; determining the execution order of the several tea sorting stages, constructing a preset sorting process queue, and performing real-time sorting monitoring on the several tea sorting stages; grading and screening the tea to be sorted, and obtaining stage monitoring results of the corresponding tea sorting stages; setting up a collaborative monitoring network, obtaining segmented monitoring results, and calling any tea sorting stage according to the segmented monitoring results, adjusting the preset sorting process queue in real time, and generating a sorting process execution queue. The present invention effectively solves the problems existing in the traditional tea sorting process, such as inaccurate sorting process, lack of dynamic adjustment capability, differences in parallel sorting quality, and insufficient matching of equipment with demand.

Description

Technical Field

[0001] The present invention relates to the technical field of tea production and processing, and in particular to a tea sorting process monitoring method and system. Background Art

[0002] With the continuous development of the tea industry, the market has put forward higher requirements on the accuracy, efficiency and quality stability of tea sorting. Traditional sorting methods can no longer meet the needs of large-scale production and high-standard markets. The accuracy of the sorting process, the ability to adjust in real time, and the uniformity of sorting quality in multiple batches have gradually become challenges for the development of the industry.

[0003] Traditional tea sorting methods rely primarily on manual labor or simple mechanical screening. These processes lack precision, making it difficult to accurately select tea based on available information. The sorting process is rigid, making it impossible to adjust screening parameters and procedures based on real-time monitoring information. Furthermore, equipment management cannot be dynamically optimized based on the physical and chemical properties of tea. Furthermore, traditional methods lack real-time monitoring of the entire sorting process and the ability to coordinate multiple stages, resulting in low overall efficiency and resource utilization.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present disclosure and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0005] The present invention provides a tea sorting process monitoring method and system, which can effectively solve the problems in the background technology.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] A method for monitoring a tea sorting process, comprising:

[0008] Acquire tea leaf picking information and tea leaf primary processing information, and set a number of tea leaf sorting stages according to the tea leaf picking information and tea leaf primary processing information, wherein each tea leaf sorting stage corresponds to a screening purpose requirement;

[0009] Determine the execution order of the plurality of tea sorting stages, construct a preset sorting process queue, and perform real-time sorting monitoring on the plurality of tea sorting stages according to the preset sorting process queue;

[0010] According to the preset queue of the sorting process, the tea sorting stage is executed to grade and screen the tea leaves to be sorted, and the stage monitoring results corresponding to the tea sorting stage are obtained;

[0011] A collaborative monitoring network is set up to obtain segmented monitoring results, and any of the tea sorting stages is called according to the segmented monitoring results. The preset queue of the sorting process is adjusted in real time according to the called tea sorting stage to generate a sorting process execution queue.

[0012] Furthermore, a collaborative monitoring network is set up, including:

[0013] Selecting a sorting monitoring device according to a preset queue of the sorting process, and setting the sorting monitoring device corresponding to a number of the tea sorting stages;

[0014] Taking the tea sorting stage as the monitoring and management unit, a sorting monitoring subnetwork is constructed, wherein the sorting monitoring subnetwork obtains real-time monitoring information of all the sorting monitoring devices corresponding to the tea sorting stage;

[0015] A plurality of the sorting monitoring sub-networks are connected to a network, and a sorting information processing center is set up to collect the real-time monitoring information and perform judgment and analysis on the real-time monitoring information.

[0016] Furthermore, the segmented monitoring results are obtained, and any of the tea sorting stages is called according to the segmented monitoring results. The preset queue of the sorting process is adjusted in real time according to the called tea sorting stage to generate a sorting process execution queue, including:

[0017] Obtaining the preset sorting time for each tea sorting stage according to the preset queue of the sorting process;

[0018] A stage time interface is set for each tea sorting stage according to the preset sorting time and the execution order of the tea sorting stages, and the stage time interface connects the tea sorting stages in series;

[0019] Determining the segmented monitoring results corresponding to the sorting stage, and selecting whether to execute the next sorting stage based on the execution order of the tea sorting stages according to the segmented monitoring results;

[0020] If not, the tea sorting stage to be executed is determined by the sorting information processing center, and the corresponding stage time interface is inserted into the sorting process preset queue to generate the sorting process execution queue.

[0021] Furthermore, multiple parallel sortings are monitored against each other, including:

[0022] Determining a plurality of parallel sorting quantities, and setting the same preset queue of the sorting process for the plurality of parallel sortings;

[0023] The multiple parallel sorting processes execute the tea sorting stage in the order of execution of the preset queue of the sorting process, and each time a single tea sorting stage is executed, the stage monitoring results of the tea sorting stages corresponding to the multiple parallel sorting processes are obtained respectively;

[0024] Comparing and monitoring the stage monitoring results of the same tea sorting stage corresponding to the multiple parallel sorting operations to obtain a stage comparison result;

[0025] Partial parallel sorting is selected according to the stage comparison result, and the tea sorting stage corresponding to the selected parallel sorting is re-executed.

[0026] Further, according to the stage comparison result, a portion of parallel sorting is selected, and the tea sorting stage corresponding to the selected parallel sorting is re-executed, including:

[0027] Obtaining a stage monitoring deviation according to the stage comparison result, wherein the stage monitoring deviation is a difference in sorting quality between the multiple parallel sortings corresponding to the stage monitoring results;

[0028] Setting a quality control monitoring threshold and a number of cyclic sorting times, wherein the number of cyclic sorting times is the result of re-executing the tea sorting stage selected for parallel sorting corresponding to the quality control monitoring threshold;

[0029] The stage monitoring deviation is determined to correspond to the quality control monitoring threshold, and the number of cyclic sorting operations is performed accordingly.

[0030] Furthermore, a sorting information processing center is set up to collect the real-time monitoring information and perform judgment and analysis on the real-time monitoring information, including:

[0031] Integrate the real-time monitoring information, classify and process the real-time monitoring information according to the screening purpose requirements, and extract sorting parameter information that matches the tea sorting stage;

[0032] Comparing the sorting parameter information with the screening purpose requirements, dynamically evaluating the execution of the sorting process according to the sorting information processing center, and determining whether the execution result of the tea sorting stage meets the screening purpose requirements;

[0033] If the execution result of any of the tea sorting stages does not meet the screening purpose requirements, marking the tea sorting stage in the preset queue of the sorting process;

[0034] The tea sorting stage is re-executed according to the mark adjustment and the preset queue of the sorting process is updated to the sorting information processing center, and the sorting monitoring subnetwork corresponding to the tea sorting stage is called to re-acquire the real-time monitoring information.

[0035] Furthermore, several tea sorting stages are set according to the tea picking information and tea primary processing information, including:

[0036] Integrating the tea picking information and the tea primary processing information and establishing a tea information database;

[0037] Extracting the tea picking information and the tea primary processing information of the tea to be sorted from the tea information database, and performing multi-dimensional matching with the screening purpose requirements to determine the physical and chemical sorting characteristics of the tea to be sorted;

[0038] According to the physical and chemical sorting characteristics and the screening purpose requirements, the tea leaves to be sorted are classified to obtain a demand classification result;

[0039] According to the demand classification result, several tea sorting stages are set, and each of the tea sorting stages corresponds to one of the screening purpose requirements.

[0040] Furthermore, the execution order of the tea sorting stages is determined, and a preset queue of the sorting process is constructed, including:

[0041] Based on the screening purpose requirements corresponding to the tea sorting stage, priority is sorted according to screening accuracy dependency to determine the execution priority of each tea sorting stage;

[0042] Based on the physical and chemical sorting characteristics, identifying the degree of influence of each tea sorting stage on the subsequent tea sorting stage, and analyzing the logical correlation between adjacent tea sorting stages;

[0043] According to the execution priority and the logical association, the preset queue of the sorting process is constructed, and corresponding sorting monitoring equipment is allocated to each tea sorting stage;

[0044] During the sorting process, real-time monitoring information is obtained to determine whether the current screening results meet the screening purpose requirements. If not, the execution order of subsequent stages is adjusted according to the real-time monitoring data to dynamically optimize the preset queue of the sorting process.

[0045] A tea sorting process monitoring system, the system comprising:

[0046] The sorting stage determination module obtains tea picking information and tea primary processing information, and sets several tea sorting stages based on the tea picking information and tea primary processing information, and each tea sorting stage corresponds to the screening purpose requirements;

[0047] The stage sequence arrangement module determines the execution order of several tea sorting stages, builds a preset queue for the sorting process, and performs real-time sorting monitoring for several tea sorting stages according to the preset queue for the sorting process;

[0048] The queue execution monitoring module performs classification and screening of tea leaves to be sorted according to the preset queue execution stage of the sorting process, and obtains the stage monitoring results of the corresponding tea sorting stage;

[0049] The collaborative comparison and adjustment module sets up a collaborative monitoring network, obtains segmented monitoring results, and calls any tea sorting stage according to the segmented monitoring results. It adjusts the preset queue of the sorting process in real time according to the called tea sorting stage and generates a sorting process execution queue.

[0050] Furthermore, the collaborative comparison adjustment module includes:

[0051] The equipment corresponding unit selects the sorting monitoring equipment according to the preset queue of the sorting process, and sets the sorting monitoring equipment corresponding to several tea sorting stages;

[0052] The monitoring network unit takes the tea sorting stage as the monitoring and management unit and constructs a sorting monitoring sub-network. The sorting monitoring sub-network obtains real-time monitoring information of all sorting monitoring devices in the corresponding tea sorting stage.

[0053] The information judgment unit connects several sorting monitoring sub-networks to a network, and sets up a sorting information processing center to collect real-time monitoring information and perform judgment and analysis on the real-time monitoring information.

[0054] The technical solution of the present invention can achieve the following technical effects:

[0055] By building a tea sorting process monitoring method based on picking information and primary processing information, integrating databases, dynamically adjusting the sorting process, parallel comparative monitoring and real-time feedback optimization, the problems of inaccurate sorting process, lack of dynamic adjustment capabilities, and insufficient matching of equipment and demand in traditional sorting are solved, thereby improving sorting efficiency, accuracy and quality stability.

[0056] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0058] Figure 1 The figure is a flow chart of a method for monitoring a tea sorting process;

[0059] Figure 2 This is a schematic diagram of the structure of the collaborative monitoring network;

[0060] Figure 3 This is a schematic diagram of the structure of parallel sorting and comparison detection;

[0061] Figure 4 Schematic diagram of the process for setting up the tea sorting stage. DETAILED DESCRIPTION

[0062] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0063] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0064] Embodiment 1;

[0065] like Figure 1 As shown, the present application provides a method for monitoring a tea sorting process, the method comprising:

[0066] S10: obtaining tea picking information and tea primary processing information, setting a number of tea sorting stages according to the tea picking information and the tea primary processing information, and each tea sorting stage corresponds to the screening purpose requirement;

[0067] S20: Determine the execution order of the multiple tea sorting stages, build a preset queue for the sorting process, and perform real-time sorting monitoring on the multiple tea sorting stages according to the preset queue for the sorting process;

[0068] S30: executing part of the tea sorting stage according to the preset queue of the sorting process to grade and screen the tea leaves to be sorted, and obtaining the stage monitoring results of the corresponding tea sorting stage;

[0069] S40: Setting up a collaborative monitoring network, obtaining segmented monitoring results, and calling any tea sorting stage according to the segmented monitoring results, adjusting the preset queue of the sorting process in real time according to the called tea sorting stage, and generating a sorting process execution queue.

[0070] Specifically, tea picking information, including parameters such as picking time, picking area, tea variety, bud-to-leaf ratio, and tea maturity, is obtained through collection equipment or an information management system. At the same time, tea primary processing information is obtained, including parameters such as primary processing method, processing temperature, and moisture content. This information is integrated and entered into a tea information database as a reference for subsequent sorting processes. Based on the tea picking information and tea primary processing information, combined with the physical and chemical properties of the tea (such as appearance, size, shape integrity, weight, chemical properties such as tea polyphenols and amino acid content), the screening purpose requirements of each tea sorting stage are determined. For example, a preliminary screening stage (grading by weight and size), a detailed screening stage (grading by bud-to-leaf integrity and impurity removal), and a fine screening stage (grading by chemical composition) can be set, and screening target parameters can be defined for each stage. Based on the screening purpose requirements of the above-mentioned tea sorting stages, the execution order of the sorting stages is determined according to the screening priority and the logical correlation between the stages. For example, a preliminary screening is performed first to eliminate tea that obviously does not meet the requirements, and then a detailed screening is performed to ensure the accuracy of the screening results. Finally, a fine screening is performed to meet the quality requirements of high-end tea. Based on this sequence, a preset queue for the sorting process is constructed; according to the preset queue for the sorting process, some tea sorting stages are executed, and sorting monitoring equipment (such as optical screening equipment, weight detection equipment or image processing system, etc.) is used to monitor the sorting process in real time, and obtain the stage monitoring results of each sorting stage. For example, in the preliminary screening stage, the size distribution ratio and rejection rate of tea leaves are recorded by monitoring equipment, and in the detailed screening stage, the completeness of buds and leaves or the impurity rate are recorded; a collaborative monitoring network is constructed, including setting the sorting monitoring equipment corresponding to each tea sorting stage to form multiple sorting monitoring sub-networks, and integrating the stage monitoring results transmitted by the sorting monitoring sub-networks through the sorting information processing center to form a segmented monitoring system. According to the segmented monitoring results obtained from the collaborative monitoring network, any sorting stage is called in real time to optimize the sorting process. For example, when it is monitored that the rejection rate of a certain sorting stage is too high and does not meet the screening purpose, the historical sorting parameters in the database are called to adjust the screening parameters of this stage (such as screen size or screening intensity). At the same time, the preset queue of the sorting process is updated in real time according to the adjusted sorting stage, and a new sorting process execution queue is generated. On the basis of dynamic adjustment, the updated sorting process execution queue is sent to the sorting equipment, and the sorting process is continued according to the newly generated queue. At the same time, the sorting execution status is continuously monitored through the sorting information processing center to ensure the stability of the sorting process and the accuracy of the results.

[0071] The technical solution of the present invention solves the problems of inaccurate sorting process, lack of dynamic adjustment capability, difference in parallel sorting quality, and insufficient matching between equipment and demand in traditional sorting, thereby improving sorting efficiency, accuracy and quality stability.

[0072] Further, if Figure 2 As shown, a collaborative monitoring network is set up, including:

[0073] Select sorting monitoring equipment according to the preset queue of the sorting process, and set the sorting monitoring equipment corresponding to several tea sorting stages;

[0074] Taking the tea sorting stage as the monitoring and management unit, a sorting monitoring sub-network is constructed. The sorting monitoring sub-network obtains real-time monitoring information of all sorting monitoring devices within the corresponding tea sorting stage.

[0075] Several sorting monitoring sub-networks are connected to a network, and a sorting information processing center is set up to collect real-time monitoring information and make judgments and analyses on the real-time monitoring information.

[0076] As a preference of the above embodiment, according to the screening purpose requirements of each tea sorting stage in the preset queue of the sorting process, the adapted sorting monitoring equipment is selected, for example, optical screening equipment and weight detection equipment are used in the preliminary screening stage, image processing system and chemical composition detection equipment are used in the fine screening stage, and magnetic separation equipment and vibration screen equipment are used in the impurity removal stage; the above sorting monitoring equipment is bound to the corresponding tea sorting stage, and the equipment parameters are initialized; each tea sorting stage is regarded as a monitoring management unit, and a sorting monitoring sub-network is constructed based on the unit, and each sorting monitoring sub-network contains real-time monitoring information of all monitoring equipment in the sorting stage, for example For example, during the initial screening stage, the sorting monitoring sub-network integrates the tea size distribution information recorded by the optical equipment and the tea weight data provided by the weight detection equipment, and uploads the real-time monitoring information to the sub-network server through data transmission. Several sorting monitoring sub-networks are connected to the sorting information processing center through communication (such as industrial Ethernet or wireless communication protocols) to form a collaborative monitoring network. The sorting information processing center receives the data uploaded by each sub-network in real time, including screening parameters (such as rejection rate, tea grading ratio) and equipment status information (such as equipment operating status, fault reports, etc.) at each sorting stage. The data integration function is used to centrally process the information uploaded by all sorting monitoring sub-networks.

[0077] The sorting information processing center categorizes and manages real-time monitoring information according to the sorting stage, and extracts key monitoring parameters for each stage, such as bud-leaf ratio, impurity content, and tea weight distribution. Based on real-time monitoring data, the center uses preset algorithm models to analyze and judge the execution results of each stage. For example, if the rejection rate of a tea sorting stage is too high or the screening error deviates from the set target, it is determined that the parameters of this stage need to be adjusted. If the status of a monitoring device is abnormal (such as a failure or monitoring delay), it is marked and triggered for equipment maintenance or the call for backup equipment. When the sorting information processing center finds that the screening results of a certain stage do not meet the preset requirements, it calls the corresponding sorting monitoring sub-network through the collaborative monitoring network to adjust the sorting parameters of that stage (such as adjusting the screen aperture, optical device threshold, etc.). At the same time, it updates the preset queue of the sorting process in real time to coordinate the execution order or parameter settings of subsequent sorting stages with the adjusted stage. By linking all sorting monitoring sub-networks, the execution effect of the entire sorting process is optimized to ensure that the monitoring and screening goals of each stage are consistent.

[0078] Furthermore, the segmented monitoring results are obtained, and any tea sorting stage is called according to the segmented monitoring results. The preset sorting process queue is adjusted in real time according to the called tea sorting stage to generate a sorting process execution queue, including:

[0079] Obtain the preset sorting time for each tea sorting stage according to the preset queue of the sorting process;

[0080] According to the sorting preset time and the execution order of the tea sorting stages, a stage time interface is set for each tea sorting stage. The stage time interface connects the tea sorting stages in series.

[0081] Determine the segment monitoring results corresponding to the sorting stage, and select whether to execute the next sorting stage based on the execution order of the tea sorting stage according to the segment monitoring results;

[0082] If not, the tea sorting stage to be executed is determined by the sorting information processing center, and the corresponding stage time interface is inserted into the sorting process preset queue to generate a sorting process execution queue.

[0083] As a preferred embodiment of the above, in the sorting process, the real-time segmented monitoring results of each sorting stage are obtained through the collaborative monitoring network, including parameters such as sorting completion, rejection rate, and screening accuracy. For example, in the preliminary screening stage of tea, the segmented monitoring equipment will record the size distribution ratio of the screened tea leaves and the content of impurities rejected. In the fine screening stage, data such as the bud and leaf ratio and completeness are recorded; a preset sorting time is set for each tea sorting stage in the preset queue of the sorting process. The preset time is determined according to the performance of the sorting equipment and the sorting target, and is used to dynamically control the sorting process; a stage time interface is set for each tea sorting stage , which is used to connect the various sorting stages in series according to the execution order to form a complete sorting process. For example, after the completion of the preliminary screening stage, its stage time interface triggers the start of the next stage of fine screening. If a stage does not reach the preset target, the stage time interface will mark the stage and suspend the automatic execution of subsequent processes. The time interface can synchronize the real-time status of the sorting stage and provide a basis for process adjustment; according to the real-time segmentation monitoring results, it is judged whether the execution effect of the current sorting stage meets the preset target. For example, in the preliminary screening stage, if the monitoring results show that the rejection rate is lower than the preset threshold (such as lower than 10%), it is considered that the stage If the screening result of the stage does not meet the screening purpose, if the segmented monitoring result meets the screening target, the next sorting stage will be executed according to the preset queue of the sorting process. If the segmented monitoring result does not meet the screening target, the execution of the subsequent sorting stage will be stopped and the next adjustment process will be entered; when the segmented monitoring result of a certain stage does not meet the screening target, the corresponding tea sorting stage will be called through the sorting information processing center to readjust the sorting parameters or execution strategy. For example, if the rejection rate of the preliminary screening stage is too low, the screen aperture or the detection threshold of the optical screening equipment can be adjusted; if the bud and leaf ratio in the fine screening stage is abnormal, the screening intensity can be adjusted or the delay can be extended. Long screening time: After the adjustment is completed, the corresponding stage time interface will be reinserted into the sorting process preset queue to ensure that the adjusted sorting stage can be executed first; the adjusted sorting process preset queue will be updated to the sorting process execution queue, which includes the optimized sorting stage sequence and time interface. For example, after the adjustment, the preliminary screening stage may be re-executed and used as a prerequisite for the next fine screening stage, or the fine screening stage may be executed in advance to meet the sorting target faster. The generated sorting process execution queue is distributed to all relevant equipment through the collaborative monitoring network to ensure that the sorting task after the process adjustment can be executed smoothly.

[0084] Further, if Figure 3 As shown, multiple parallel sortings are monitored against each other, including:

[0085] Determine the number of parallel sorting operations and set the same sorting process preset queue for the multiple parallel sorting operations;

[0086] Multiple parallel sorting processes execute the tea sorting stage in the order of execution of the preset queue of the sorting process, and after each single tea sorting stage is completed, the stage monitoring results of the tea sorting stages corresponding to the multiple parallel sorting processes are obtained respectively;

[0087] Comparing and monitoring the stage monitoring results of the same tea sorting stage corresponding to multiple parallel sorting operations to obtain stage comparison results;

[0088] According to the stage comparison results, part of the parallel sorting is selected, and the tea sorting stage corresponding to the selected parallel sorting is re-executed.

[0089] As a preferred embodiment of the above, the number of sorting operations that need to be performed in parallel is first determined, and the same preset queues of sorting processes are set for multiple parallel sorting operations, such as the initial screening stage, the color sorting stage, the impurity removal stage, and the grade classification stage. Corresponding monitoring indicators are defined for each tea sorting stage, such as sorting accuracy, impurity content ratio, sorting efficiency, etc. All parallel sorting production lines are executed step by step in the order of the preset queues of the sorting process, and after each stage, the monitoring data of each production line is collected, such as the tea pass rate and the proportion of unscreened materials in the initial screening stage, the color sorting accuracy and the rejection rate of unqualified products in the color sorting stage, and the impurity content and rejection efficiency in the impurity removal stage; the data collected at the same stage of each production line are analyzed. Comparative analysis includes comparison of sorting accuracy, efficiency differences and phased output results. If the data of a production line deviates from the preset standard, the production line will be selected to re-execute the corresponding stage, adjust the relevant sorting parameters during re-execution, and re-collect monitoring data for verification. If the sorting result after re-execution reaches the standard value, the subsequent stage will continue to be executed. If it still does not reach the standard value, a warning will be issued and the abnormal situation of the production line will be recorded; the overall operation effect of all sorting production lines will be summarized and a monitoring report will be output, including the comparison of the phased sorting results of each production line, abnormal correction records, and comprehensive indicators such as overall sorting accuracy, efficiency and qualified rate, to ensure intelligent monitoring and optimization of parallel sorting processes.

[0090] Furthermore, according to the stage comparison result, part of the parallel sorting is selected, and the tea sorting stage corresponding to the selected parallel sorting is re-executed, including:

[0091] The stage monitoring deviation is obtained based on the stage comparison results. The stage monitoring deviation is the sorting quality difference between the monitoring results of the corresponding stages of multiple parallel sortings.

[0092] Set the quality control monitoring threshold and the number of loop sorting times. The number of loop sorting times is the result of re-executing the tea sorting stage selected for parallel sorting corresponding to the quality control monitoring threshold.

[0093] The deviation is monitored in the judgment stage and corresponds to the quality control monitoring threshold, and the corresponding number of cycle sorting operations is performed.

[0094] As a preferred embodiment of the above, in the process of tea sorting, the real-time monitoring results of each tea sorting stage are collected, including indicators such as rejection rate, sorting accuracy, and impurity rate. After each tea sorting stage is completed, the monitoring results of all corresponding stages in the parallel sorting are compared and analyzed, and the sorting quality difference is calculated to obtain the stage monitoring deviation. For example, if the target rejection rate of the sorting stage is 98%, and the actual rejection rate of a production line is only 92%, then the deviation is recorded as 6%. The specific indicators of the stage monitoring deviation include the sorting efficiency, screening accuracy and Set the deviation value of the target; set the quality control monitoring threshold according to the quality requirements in the sorting process, for example, the minimum requirement for sorting accuracy is 95%, and the minimum requirement for rejection rate is 90%. If the monitoring data of a production line deviates from the quality control monitoring threshold, the re-sorting process of that stage is triggered, and the maximum number of cyclic sorting times is set (such as a maximum of 3 retries) to ensure that the re-sorting will not be repeated indefinitely, and to take into account equipment resources and efficiency; for the monitoring data of each stage, determine whether it exceeds the quality control monitoring threshold. If the stage monitoring deviation is less than the quality control monitoring threshold, the production line is considered to be out of order. If the requirements are met, the subsequent sorting stage will continue. If the stage monitoring deviation exceeds the quality control monitoring threshold, the production line will be selected to re-execute the current sorting stage, and the sorting equipment parameters, such as screening force and optical sensitivity, will be adjusted based on the deviation. After re-execution, monitoring data will be collected again to determine whether it meets the quality control monitoring threshold standard. If the re-execution monitoring result still does not meet the standard, the cycle will continue until the quality control monitoring threshold is met or the maximum number of cycle sorting is reached. During the execution of the cycle sorting process, the monitoring data after re-sorting is analyzed in real time, and the execution plan of the subsequent stage is adjusted. For example, if the deviation in the initial screening stage is large, stricter screening parameters will be set in advance in the subsequent color sorting stage. If a production line fails to meet the threshold multiple times, the subsequent sorting operation of the production line will be suspended, and manual intervention or equipment maintenance will be prompted. The execution status of all sorting production lines at each stage is recorded and a monitoring log is generated, including the stage monitoring deviation value, the number of re-executions, and the final sorting quality index. A final report is generated to analyze the overall operating performance of each production line in the parallel sorting process, providing a basis for subsequent optimization of sorting equipment parameters and improvement of sorting efficiency.

[0095] Furthermore, a sorting information processing center is set up to collect real-time monitoring information and conduct judgment and analysis on the real-time monitoring information, including:

[0096] Integrate real-time monitoring information, classify and process it according to the screening purpose, and extract sorting parameter information that matches the tea sorting stage;

[0097] Compare the sorting parameter information with the screening purpose requirements, and dynamically evaluate the execution of the sorting process based on the sorting information processing center to determine whether the execution results of the tea sorting stage meet the screening purpose requirements;

[0098] If the execution result of any tea sorting stage does not meet the screening requirements, the tea sorting stage will be marked in the preset queue of the sorting process;

[0099] According to the mark adjustment, the tea sorting stage is re-executed and the preset queue of the sorting process is updated to the sorting information processing center, and the sorting monitoring sub-network corresponding to the tea sorting stage is called to re-acquire real-time monitoring information.

[0100] As a preferred embodiment of the above, a sorting information processing center is set as the core data management platform to collect real-time monitoring information of each sorting stage. The sorting information processing center receives and stores real-time monitoring data of each stage by communicating with sorting monitoring equipment (such as optical detection equipment, weight detection equipment, component analysis equipment, etc.) and the sorting monitoring sub-network; the sorting information processing center integrates the received real-time monitoring information according to the tea sorting stage, including the key sorting parameters of each stage (such as rejection rate, sorting accuracy, impurity content, bud-leaf ratio, etc.), and sorts the tea leaves according to the screening purpose (such as tea grade, appearance, etc.). , chemical composition), classifies and processes the monitoring data, and extracts sorting parameter information that matches the current sorting stage. For example, the primary screening stage extracts tea size distribution and weight data, the fine screening stage extracts bud and leaf integrity and impurity content data, and the chemical sorting stage extracts tea polyphenol content and amino acid ratio data. The sorting information processing center compares and analyzes the extracted sorting parameter information with the preset screening purpose requirements, and uses a dynamic evaluation algorithm to determine whether the execution results of the current tea sorting stage meet the screening target requirements. If the evaluation result shows that the execution result does not meet the screening target, the sorting stage is marked as failed. If the execution result of a certain sorting stage does not meet the expected goal, the sorting information processing center will mark the tea sorting stage in the preset queue of the sorting process. These marking information will serve as the basis for subsequent re-execution and adjustment. According to the marked tea sorting stage, the sorting information processing center calls the corresponding sorting monitoring sub-network to optimize the sorting parameters and execution strategy of the tea sorting stage, such as adjusting the sensitivity of the optical detection equipment, modifying the screen aperture or increasing the screening time, and improving the rejection intensity of the impurity rejection equipment. After the adjustment is completed, the marked tea sorting stage will be re-executed and new real-time monitoring information will be obtained in real time. The real-time monitoring information after the sorting process is completed will be fed back to the sorting information processing center to update the preset queue of the sorting process. For example, the adjusted sorting stage will be set as the priority execution, and the parameter settings of the subsequent sorting stages in the queue will be updated to match the adjustment results. The new preset queue of the sorting process will be sent to each sorting device through the sorting information processing center to ensure the accuracy and stability of the subsequent sorting process; the sorting information processing center will continuously receive and analyze real-time monitoring information throughout the sorting process, and dynamically evaluate the execution effect of all sorting stages. If a new abnormal stage is found, the process of marking, adjusting and re-executing will be repeated to ensure that the final sorting result meets the target requirements.

[0101] Further, if Figure 4 As shown, several tea sorting stages are set according to the tea picking information and tea primary processing information, including:

[0102] Integrate tea picking information and tea primary processing information and establish a tea information database;

[0103] Extract the tea picking information and tea primary processing information of the tea to be sorted from the tea information database, and match them with the screening purpose requirements in multiple dimensions to determine the physical and chemical sorting characteristics of the tea to be sorted;

[0104] According to the physical and chemical sorting characteristics and the screening purpose, the tea to be sorted is graded to obtain the demand classification results;

[0105] According to the demand classification results, several tea sorting stages are set, and each tea sorting stage corresponds to a screening purpose demand.

[0106] As a preferred embodiment of the above, tea picking information (such as picking time, region, variety, bud-to-leaf ratio, maturity) and primary processing information (such as processing method, temperature, moisture content) are recorded by information collection equipment or system, and this information is integrated into a tea information database as basic data for the sorting process; information on the tea to be sorted is extracted from the tea information database, and the physical and chemical sorting characteristics of the tea (such as appearance, size, weight, color, tea polyphenol and caffeine content, etc.) are analyzed and matched in multiple dimensions in combination with the screening target requirements; the tea is classified according to the matching results, and the tea is divided into different categories (such as special grade, first grade, second grade) according to the classification rules (such as bud-to-leaf ratio, chemical component content). , generate grading results; set specific sorting stages based on the required grading results and screening target requirements, such as the initial screening stage is used to remove leaves that do not meet the requirements of size, the color sorting stage is used to remove tea leaves with abnormal color, the impurity removal stage is used to remove foreign matter, and the chemical screening stage is used to sort high-grade tea leaves according to the content of tea polyphenols, and configure corresponding sorting tools for each stage (such as optical detection equipment, vibrating screens, component analyzers, etc.); during the sorting process, the sorting information processing center monitors and dynamically adjusts the execution of each stage in real time to ensure that the screening parameters (such as screen aperture and detection sensitivity) adapt to the characteristics of different tea batches, thereby optimizing the sorting process, improving efficiency and accuracy, and ultimately achieving high-quality tea sorting results.

[0107] Furthermore, we determine the execution order of several tea sorting stages and build a preset queue for the sorting process, including:

[0108] Based on the screening purpose requirements corresponding to the tea sorting stage, priority is sorted according to the screening accuracy dependency to determine the execution priority of each tea sorting stage;

[0109] Based on the physical and chemical sorting characteristics, identify the impact of each tea sorting stage on the subsequent tea sorting stage and analyze the logical correlation between adjacent tea sorting stages;

[0110] According to the execution priority and logical correlation, a preset queue for the sorting process is constructed, and corresponding sorting monitoring equipment is allocated to each tea sorting stage;

[0111] During the sorting process, real-time monitoring information is obtained to determine whether the current screening results meet the screening purpose requirements. If not, the execution order of subsequent stages is adjusted according to the real-time monitoring data, and the preset queue of the sorting process is dynamically optimized.

[0112] As a preferred embodiment of the above, according to the screening purpose requirements of the tea sorting stage, the sorting stages are prioritized according to the screening accuracy dependency, and the execution priority of each stage is determined. For example, the primary screening stage for removing impurities is usually executed before other stages to ensure the accuracy of subsequent sorting; according to the physical and chemical sorting characteristics of the tea (such as particle size, impurity content, chemical composition, etc.), the degree of influence of each sorting stage on the subsequent stages is analyzed, and the logical correlation between adjacent stages is clarified. For example, the primary screening stage affects the accuracy of the color sorting stage, and the impurity removal stage ensures the purity of the chemical screening. On this basis, a preset queue for the sorting process is constructed, and the sorting stages are arranged in sequence according to priority and logical relationship, and a sorting process is divided into two stages. Equipped with appropriate sorting monitoring equipment, such as vibrating screens for primary screening, optical detection equipment for color sorting, and component analyzers for chemical screening. During the sorting process, the sorting results of each stage are obtained through real-time monitoring equipment to evaluate whether the current stage meets the screening target requirements, such as whether the rejection rate reaches the preset value and whether the sorting accuracy meets the standard; if a stage does not meet the standard, the execution order or screening parameters of the subsequent stages are dynamically adjusted according to the real-time monitoring data, such as re-executing the stage first or improving the sensitivity of the equipment in the subsequent stages. At the same time, the preset queue is optimized, and the execution status and adjustment data of each stage are recorded through the feedback mechanism to improve the future sorting process design and ensure that the overall sorting efficiency and accuracy are continuously improved.

[0113] Embodiment 2:

[0114] Based on the same inventive concept as the tea sorting process monitoring method in the aforementioned embodiment, the present invention further provides a tea sorting process monitoring system, which includes:

[0115] The sorting stage determination module obtains tea picking information and tea primary processing information, and sets several tea sorting stages based on the tea picking information and tea primary processing information, and each tea sorting stage corresponds to the screening purpose requirements;

[0116] The stage sequence arrangement module determines the execution order of several tea sorting stages, builds a preset queue for the sorting process, and performs real-time sorting monitoring for several tea sorting stages according to the preset queue for the sorting process;

[0117] The queue execution monitoring module performs classification and screening of tea leaves to be sorted according to the preset queue execution stage of the sorting process, and obtains the stage monitoring results of the corresponding tea sorting stage;

[0118] The collaborative comparison and adjustment module sets up a collaborative monitoring network, obtains segmented monitoring results, and calls any tea sorting stage according to the segmented monitoring results. It adjusts the preset queue of the sorting process in real time according to the called tea sorting stage and generates a sorting process execution queue.

[0119] The above-mentioned adjustment system in the present invention can effectively realize a tea sorting process monitoring method, and the technical effects that can be achieved are as described in the above-mentioned embodiments and will not be repeated here.

[0120] More specifically, the collaborative comparison adjustment module includes:

[0121] The equipment corresponding unit selects the sorting monitoring equipment according to the preset queue of the sorting process, and sets the sorting monitoring equipment corresponding to several tea sorting stages;

[0122] The monitoring network unit takes the tea sorting stage as the monitoring and management unit and constructs a sorting monitoring sub-network. The sorting monitoring sub-network obtains real-time monitoring information of all sorting monitoring devices in the corresponding tea sorting stage.

[0123] The information judgment unit connects several sorting monitoring sub-networks to a network, and sets up a sorting information processing center to collect real-time monitoring information and perform judgment and analysis on the real-time monitoring information.

[0124] Similarly, the above-mentioned optimization schemes for the system can also respectively achieve the corresponding optimization effects of the method in Example 1, which will not be repeated here.

[0125] Although the present application has been described with reference to specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and drawings are merely illustrative of the present application as defined herein and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, the present application is intended to include such modifications and variations as fall within the scope of the present application and its equivalents.

Claims

1. A tea sorting process monitoring method, characterized in that: The method comprises: Acquire tea picking information and tea primary processing information, set several tea sorting stages according to the tea picking information and tea primary processing information, and each tea sorting stage corresponds to the screening purpose requirement, including: Integrating the tea picking information and the tea primary processing information and establishing a tea information database; Extracting the tea picking information and the tea primary processing information of the tea to be sorted from the tea information database, and performing multi-dimensional matching with the screening purpose requirements to determine the physical and chemical sorting characteristics of the tea to be sorted; According to the physical and chemical sorting characteristics and the screening purpose requirements, the tea leaves to be sorted are classified to obtain a demand classification result; According to the demand classification result, a number of tea sorting stages are set, each of which corresponds to one of the screening purpose requirements; Determine the execution order of the plurality of tea sorting stages, construct a preset sorting process queue, and perform real-time sorting monitoring of the plurality of tea sorting stages according to the preset sorting process queue, including: Based on the screening purpose requirements corresponding to the tea sorting stage, priority is sorted according to screening accuracy dependency to determine the execution priority of each tea sorting stage; Based on the physical and chemical sorting characteristics, identifying the degree of influence of each tea sorting stage on the subsequent tea sorting stage, and analyzing the logical correlation between adjacent tea sorting stages; According to the execution priority and the logical association, the preset queue of the sorting process is constructed, and corresponding sorting monitoring equipment is allocated to each tea sorting stage; During the sorting process, real-time monitoring information is obtained to determine whether the current screening results meet the screening requirements. If not, the execution order of subsequent stages is adjusted according to the real-time monitoring data to dynamically optimize the preset queue of the sorting process. According to the preset queue of the sorting process, the tea sorting stage is executed to grade and screen the tea leaves to be sorted, and the stage monitoring results corresponding to the tea sorting stage are obtained; Setting up a collaborative monitoring network, obtaining segmented monitoring results, and calling any of the tea sorting stages according to the segmented monitoring results, adjusting the preset queue of the sorting process in real time according to the called tea sorting stage, and generating a sorting process execution queue, including: Obtaining the preset sorting time for each tea sorting stage according to the preset queue of the sorting process; A stage time interface is set for each tea sorting stage according to the preset sorting time and the execution order of the tea sorting stages, and the stage time interface connects the tea sorting stages in series; Determining the segmented monitoring results corresponding to the sorting stage, and selecting whether to execute the next sorting stage based on the execution order of the tea sorting stages according to the segmented monitoring results; If not, the tea sorting stage to be executed is determined by the sorting information processing center, and the corresponding stage time interface is inserted into the sorting process preset queue to generate the sorting process execution queue.

2. The tea sorting process monitoring method according to claim 1, characterized in that: Set up a collaborative monitoring network, including: Selecting a sorting monitoring device according to a preset queue of the sorting process, and setting the sorting monitoring device corresponding to a number of the tea sorting stages; Taking the tea sorting stage as the monitoring and management unit, a sorting monitoring subnetwork is constructed, wherein the sorting monitoring subnetwork obtains real-time monitoring information of all the sorting monitoring devices corresponding to the tea sorting stage; A plurality of the sorting monitoring sub-networks are connected to a network, and a sorting information processing center is set up to collect the real-time monitoring information and perform judgment and analysis on the real-time monitoring information.

3. The tea sorting process monitoring method according to claim 1, characterized in that: Comparative monitoring of multiple parallel sorting runs, including: Determining a plurality of parallel sorting quantities, and setting the same preset queue of the sorting process for the plurality of parallel sortings; The multiple parallel sorting processes execute the tea sorting stage in the order of execution of the preset queue of the sorting process, and each time a single tea sorting stage is executed, the stage monitoring results of the tea sorting stages corresponding to the multiple parallel sorting processes are obtained respectively; Comparing and monitoring the stage monitoring results of the same tea sorting stage corresponding to the multiple parallel sorting operations to obtain a stage comparison result; Partial parallel sorting is selected according to the stage comparison result, and the tea sorting stage corresponding to the selected parallel sorting is re-executed.

4. The tea sorting process monitoring method according to claim 3, characterized in that: Selecting a portion of the parallel sorting according to the stage comparison result, and re-executing the tea sorting stage corresponding to the selected parallel sorting, including: Obtaining a stage monitoring deviation according to the stage comparison result, wherein the stage monitoring deviation is a difference in sorting quality between the multiple parallel sortings corresponding to the stage monitoring results; Setting a quality control monitoring threshold and a number of cyclic sorting times, wherein the number of cyclic sorting times is the result of re-executing the tea sorting stage selected for parallel sorting corresponding to the quality control monitoring threshold; The stage monitoring deviation is determined to correspond to the quality control monitoring threshold, and the number of cyclic sorting operations is performed accordingly.

5. The tea sorting process monitoring method according to claim 2, characterized in that: A sorting information processing center is set up to collect the real-time monitoring information and perform judgment and analysis on the real-time monitoring information, including: Integrate the real-time monitoring information, classify and process the real-time monitoring information according to the screening purpose requirements, and extract sorting parameter information that matches the tea sorting stage; Comparing the sorting parameter information with the screening purpose requirements, dynamically evaluating the execution of the sorting process according to the sorting information processing center, and determining whether the execution result of the tea sorting stage meets the screening purpose requirements; If the execution result of any of the tea sorting stages does not meet the screening purpose requirements, marking the tea sorting stage in the preset queue of the sorting process; The tea sorting stage is re-executed according to the mark adjustment and the preset queue of the sorting process is updated to the sorting information processing center, and the sorting monitoring subnetwork corresponding to the tea sorting stage is called to re-acquire the real-time monitoring information.

6. A tea sorting process monitoring system, characterized in that: The system comprises: The sorting stage determination module obtains tea picking information and tea primary processing information, and sets several tea sorting stages according to the tea picking information and tea primary processing information, and each tea sorting stage corresponds to the screening purpose requirement, including: Integrating the tea picking information and the tea primary processing information and establishing a tea information database; Extracting the tea picking information and the tea primary processing information of the tea to be sorted from the tea information database, and performing multi-dimensional matching with the screening purpose requirements to determine the physical and chemical sorting characteristics of the tea to be sorted; According to the physical and chemical sorting characteristics and the screening purpose requirements, the tea leaves to be sorted are classified to obtain a demand classification result; According to the demand classification result, a number of tea sorting stages are set, each of which corresponds to one of the screening purpose requirements; The stage sequence arrangement module determines the execution order of the tea sorting stages, constructs a preset queue for the sorting process, and performs real-time sorting monitoring on the tea sorting stages according to the preset queue for the sorting process, including: Based on the screening purpose requirements corresponding to the tea sorting stage, priority is sorted according to screening accuracy dependency to determine the execution priority of each tea sorting stage; Based on the physical and chemical sorting characteristics, identifying the degree of influence of each tea sorting stage on the subsequent tea sorting stage, and analyzing the logical correlation between adjacent tea sorting stages; According to the execution priority and the logical association, the preset queue of the sorting process is constructed, and corresponding sorting monitoring equipment is allocated to each tea sorting stage; During the sorting process, real-time monitoring information is obtained to determine whether the current screening results meet the screening requirements. If not, the execution order of subsequent stages is adjusted according to the real-time monitoring data to dynamically optimize the preset queue of the sorting process. A queue execution monitoring module is configured to perform grading and screening of tea leaves to be sorted according to the tea sorting stage of the preset queue execution part of the sorting process, and obtain a stage monitoring result corresponding to the tea sorting stage; The collaborative comparison and adjustment module sets up a collaborative monitoring network, obtains segmented monitoring results, and calls any of the tea sorting stages according to the segmented monitoring results. The preset queue of the sorting process is adjusted in real time according to the called tea sorting stage to generate a sorting process execution queue, including: Obtaining the preset sorting time for each tea sorting stage according to the preset queue of the sorting process; A stage time interface is set for each tea sorting stage according to the preset sorting time and the execution order of the tea sorting stages, and the stage time interface connects the tea sorting stages in series; Determining the segmented monitoring results corresponding to the sorting stage, and selecting whether to execute the next sorting stage based on the execution order of the tea sorting stages according to the segmented monitoring results; If not, the tea sorting stage to be executed is determined by the sorting information processing center, and the corresponding stage time interface is inserted into the sorting process preset queue to generate the sorting process execution queue.

7. The tea sorting process monitoring system according to claim 6, characterized in that: The collaborative comparison and adjustment module includes: The equipment corresponding unit selects the sorting monitoring equipment according to the preset queue of the sorting process, and sets the sorting monitoring equipment corresponding to several tea sorting stages; The monitoring network unit takes the tea sorting stage as the monitoring and management unit and constructs a sorting monitoring sub-network. The sorting monitoring sub-network obtains real-time monitoring information of all sorting monitoring devices in the corresponding tea sorting stage. The information judgment unit connects several sorting monitoring sub-networks to a network and sets up a sorting information processing center to collect real-time monitoring information and perform judgment and analysis on the real-time monitoring information.

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