Auxiliary material early calling method and system for linkage feeding

Abstract

The invention discloses a linkage feeding auxiliary material early calling method and system, and belongs to the technical field of automatic logistics and production. The method comprises the following steps: acquiring auxiliary material surplus information of an auxiliary material adding station; comparing the actual stock amount corresponding to the auxiliary material residual amount information with a preset safe stock amount, and judging whether auxiliary material supply is needed or not according to a data comparison result; if auxiliary material supply is needed, a corresponding auxiliary material supply task is generated, and an auxiliary material supply path corresponding to the auxiliary material supply task is determined according to the current auxiliary material storage position and the position of the target auxiliary material adding station; and an auxiliary material supply scheme is generated based on the auxiliary material supply task and the auxiliary material supply path, and according to the auxiliary material supply scheme and the current position and state of the AGV trolley, the corresponding AGV trolley is assigned to transport the needed auxiliary material from the storage area to the target auxiliary material adding station. The tobacco production efficiency is remarkably improved through real-time monitoring and automatic supply of the auxiliary materials.

Description

Technical Field

[0001] The invention relates to a method and system for calling auxiliary materials in advance for linked feeding, belonging to the technical field of automated logistics and production. Background Art

[0002] In the production of the tobacco industry, the cigarette packaging process is a key production activity, which requires a large amount of auxiliary materials such as trademark paper to be delivered to the corresponding machines. At present, some high-speed machines already have automatic auxiliary material feeding equipment, which can trigger the addition of auxiliary materials for the delivered auxiliary material pallets, but the traditional auxiliary material pallet replenishment mostly relies on manual triggering call operations, and does not effectively break through the boundary between the automatic feeding equipment material request information and the AGV (automatic guided vehicle) material request signal. It often happens that the AGV delivers materials untimely or waits for a long time due to untimely calls, which makes it difficult to meet the current efficient production needs. In addition, it is difficult for traditional material calling systems to achieve real-time monitoring and early warning of auxiliary material usage, which can easily lead to material shortages or material breaks during the production process, affecting production continuity and efficiency. Summary of the invention

[0003] The purpose of the present invention is to provide a method and system for calling for auxiliary materials in advance with linked feeding, aiming to ensure effective replenishment of auxiliary materials through real-time monitoring and early warning of auxiliary materials, thereby meeting the needs of efficient production.

[0004] In order to solve the above technical problems, the present invention is implemented by adopting the following technical solutions: On the one hand, the present invention provides a method for calling for auxiliary materials in advance with linked feeding, which comprises: Get the remaining amount information of auxiliary materials at the auxiliary material adding station; Compare the actual inventory corresponding to the auxiliary material remaining quantity information with the preset safety inventory, and determine whether the auxiliary material needs to be replenished based on the data comparison result; If auxiliary material replenishment is required, a corresponding auxiliary material replenishment task is generated, and the auxiliary material replenishment path corresponding to the auxiliary material replenishment task is determined according to the current auxiliary material storage location and the location of the target auxiliary material adding station; An auxiliary material replenishment plan is generated based on the auxiliary material replenishment task and the auxiliary material replenishment path, and according to the auxiliary material replenishment plan and the current position and status of the AGV vehicle, the corresponding AGV vehicle is assigned to transport the required auxiliary materials from the storage area to the target auxiliary material adding station.

[0005] The present invention provides an efficient replenishment process for auxiliary material management in an industrial automation or intelligent manufacturing environment. The process ensures timely replenishment of auxiliary materials on the production line by integrating real-time data monitoring, intelligent decision making and automated logistics execution, thereby maintaining the continuity and efficiency of the production line.

[0006] Optionally, the data comparison determines whether auxiliary material replenishment is needed, including: if the actual inventory reaches or is lower than the preset safety inventory, auxiliary material replenishment is needed, and a corresponding auxiliary material replenishment task is generated.

[0007] Optionally, the original auxiliary material consumption data corresponding to the auxiliary material remaining amount information contains one or more of noise, abnormal values ​​and missing values; Among them, the isolation forest algorithm is used to identify and filter out the original auxiliary material consumption data containing outliers, including: Obtain raw material consumption data; Input the original auxiliary material consumption data into the IsolationForest model to obtain an abnormal score for each data point corresponding to the original auxiliary material consumption data; According to the abnormality score, the raw auxiliary material consumption data containing abnormal values ​​is identified and filtered out.

[0008] Optionally, the isolation forest algorithm isolates each data point corresponding to the original auxiliary material consumption data by constructing a binary tree, and the path of the abnormal value in the binary tree is shorter than the path of the normal value in the tree.

[0009] Optionally, the sliding window method is combined with the LSTM network to predict the auxiliary material consumption corresponding to the auxiliary material consumption speed in the next n time units, and the preset safety stock is dynamically adjusted in real time according to the predicted auxiliary material consumption; wherein, the preset safety stock is dynamically adjusted in real time, and the calculation formula is expressed as: ; In the formula, Expressed as the dynamically adjusted safety stock, Expressed as the average consumption per unit time, represents the warning lead time, represents the risk adjustment factor, Indicates the standard deviation of the consumption rate.

[0010] Optionally, if the auxiliary material consumption in the next n time units increases, the threshold value corresponding to the preset safety stock quantity will be increased accordingly; If the auxiliary material consumption in the next n time units decreases, the corresponding threshold of the preset safety stock will be reduced accordingly.

[0011] In a second aspect, the present invention further provides a system for calling auxiliary materials in advance for linked material loading, which is applicable to the method for calling auxiliary materials in advance for linked material loading as described in the first aspect, and comprises: an auxiliary material monitoring unit, a data analysis unit, a material management unit and an AGV scheduling unit; The auxiliary material monitoring unit is used to collect auxiliary material remaining amount information of the auxiliary material adding station in real time, and transmit the auxiliary material remaining amount information to the data analysis unit; The data analysis unit is used to compare the actual inventory corresponding to the auxiliary material remaining quantity information with the preset safety inventory, and determine whether auxiliary material replenishment is needed according to the data comparison result, and if auxiliary material replenishment is needed, generate a corresponding auxiliary material replenishment task; The material management unit is used to receive the auxiliary material replenishment task, and determine the auxiliary material replenishment path corresponding to the auxiliary material replenishment task according to the current auxiliary material storage location and the location of the target auxiliary material adding station, and then generate an auxiliary material replenishment plan based on the auxiliary material replenishment task and the auxiliary material replenishment path, and send it to the AGV scheduling unit; The AGV scheduling unit is used to assign the corresponding AGV to transport the required auxiliary materials from the storage area to the target auxiliary material adding station according to the auxiliary material replenishment plan and the current position and status of the AGV; If the actual inventory reaches or is lower than the preset safety inventory, supplementary materials need to be replenished.

[0012] The system provided by the present invention describes a highly automated and intelligent auxiliary material management process, which ensures the timely replenishment of auxiliary materials on the production line through the collaborative work of multiple units, thereby improving production efficiency and reducing downtime caused by auxiliary material shortages.

[0013] Optionally, the auxiliary material advance calling system for linkage loading further includes: a data preprocessing unit for identifying and filtering abnormal values ​​in the original auxiliary material consumption data corresponding to the auxiliary material remaining amount information using an isolation forest algorithm, wherein the identification and filtering includes: The data acquisition module is configured to acquire the raw auxiliary material consumption data; An abnormality score determination module is configured to input the original auxiliary material consumption data into an IsolationForest model to obtain an abnormality score for each data point corresponding to the original auxiliary material consumption data; The identification and filtering module is configured to identify and filter out the original auxiliary material consumption data containing abnormal values ​​according to the abnormality score.

[0014] Optionally, the auxiliary material advance ordering system for linked material loading also includes: a safety stock dynamic adjustment unit, which is used to combine the sliding window method with the LSTM network to predict the auxiliary material consumption corresponding to the auxiliary material consumption rate in the next n time units, and according to the predicted auxiliary material consumption, perform real-time dynamic adjustment to the preset safety stock.

[0015] Optionally, the preset safety stock is dynamically adjusted in real time, and the calculation formula is expressed as: ; In the formula, Expressed as the dynamically adjusted safety stock, Expressed as the average consumption per unit time, represents the warning lead time, represents the risk adjustment factor, Indicates the standard deviation of the consumption rate.

[0016] Optionally, if the auxiliary material consumption in the next n time units increases, the threshold value corresponding to the preset safety stock quantity will be increased accordingly; If the auxiliary material consumption in the next n time units decreases, the corresponding threshold of the preset safety stock will be reduced accordingly.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention not only effectively avoids material shortages or interruptions in the production process and reduces production downtime through real-time monitoring and automatic replenishment of auxiliary materials, but also reduces reliance on manual call operations, reduces labor costs and work intensity. The various units work closely together to achieve automated and intelligent management of auxiliary material replenishment, effectively improving the flexibility and efficiency of the production line. In addition, the corresponding safety inventory threshold is dynamically adjusted through the auxiliary material consumption rate, making early warning and material calls more practical and effective, with high practicality and strong pertinence. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic flow chart of the method for calling for auxiliary materials in advance for linkage feeding of the present invention; Figure 2 Shown is a schematic diagram of the auxiliary material advance calling system for linked feeding of the present invention. DETAILED DESCRIPTION

[0019] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0020] Example 1 refer to Figure 1 This embodiment introduces a method for calling for auxiliary materials in advance with linked feeding, which includes the following steps: Get the remaining amount information of auxiliary materials at the auxiliary material adding station; Compare the actual inventory corresponding to the auxiliary material remaining quantity information with the preset safety inventory, and determine whether the auxiliary material needs to be replenished based on the data comparison result; If auxiliary material replenishment is required, a corresponding auxiliary material replenishment task is generated, and the auxiliary material replenishment path corresponding to the auxiliary material replenishment task is determined according to the current auxiliary material storage location and the location of the target auxiliary material adding station; An auxiliary material replenishment plan is generated based on the auxiliary material replenishment task and the auxiliary material replenishment path, and according to the auxiliary material replenishment plan and the current position and status of the AGV vehicle, the corresponding AGV vehicle is assigned to transport the required auxiliary materials from the storage area to the target auxiliary material adding station.

[0021] When this embodiment is used in a specific application, first, the remaining amount of auxiliary materials is collected in real time through the low material level sensor installed at the auxiliary material adding station, and then the collected auxiliary material remaining amount information is compared with the safety inventory preset in the system. According to the comparison result, it is determined whether the auxiliary material replenishment warning signal should be triggered. Correspondingly, the system will automatically generate a corresponding auxiliary material replenishment task according to the warning signal. The task may include information such as the type and quantity of auxiliary materials that need to be replenished. Further, according to the current auxiliary material storage location and the location of the target auxiliary material adding station, the preset rules or algorithms (such as the shortest path algorithm) are used to determine the optimal auxiliary material replenishment path to reduce transportation time and cost. Furthermore, based on the auxiliary material replenishment task and the replenishment path, a detailed auxiliary material replenishment plan is generated, and the above-determined auxiliary material replenishment plan is transmitted to the AGV car. The plan may include specific information such as replenishment time, transportation method, and AGV car assignment. Then, the most suitable AGV is selected based on the current position and status of the AGV (such as power, load capacity, whether it is idle, etc.), and the selected AGV will then complete the replenishment of the target auxiliary materials according to the auxiliary material replenishment plan. Specifically, the assigned AGV will automatically go to the auxiliary material storage area to load the auxiliary materials required for replenishment according to the predetermined path and schedule, and then transport them to the target auxiliary material adding station to complete the replenishment task.

[0022] Example 2 Based on Example 1, this example specifically demonstrates the implementation process of the method for calling for auxiliary materials in advance for linked feeding, which is described in detail as follows.

[0023] 1. Real-time collection of auxiliary material remaining quantity information at the auxiliary material adding station Specifically, by installing a low material level sensor at the key auxiliary material adding station of the wrapping unit, the usage and remaining amount of the auxiliary materials can be monitored in real time.

[0024] 2. Compare the remaining amount of auxiliary materials with the preset safety stock, and determine whether auxiliary materials need to be replenished based on the data comparison results. Firstly, the relevant original auxiliary material consumption data corresponding to the auxiliary material remaining amount information is preprocessed.

[0025] This embodiment uses the Isolation Forest algorithm to identify and filter abnormal auxiliary material consumption data points to ensure the accuracy of subsequent analysis. The Isolation Forest algorithm isolates data points by constructing a binary tree. In this process, it randomly selects an attribute and then randomly selects a cut value of the attribute to split the data, repeating this process until each point is isolated. Since outliers are often easier to isolate due to their characteristics, their paths in the binary tree will be shorter than normal points. In this way, abnormal data points can be accurately and quickly identified and filtered out from the analyzed data.

[0026] Specifically, an IsolationForest model with y trees is constructed; the original auxiliary material consumption data is input into the IsolationForest model to obtain an abnormal score for each data point corresponding to the original auxiliary material consumption data, and then the original auxiliary material consumption data containing abnormal values ​​is identified and filtered out according to the abnormal score. The abnormal score reflects the abnormal degree of the data point, and the lower the score, the more likely it is an abnormal point.

[0027] Secondly, based on the preprocessed data, the following innovative algorithms and formulas are used to generate intelligent warnings.

[0028] Specifically, the sliding window method is combined with the LSTM network to predict the auxiliary material consumption. That is, given a time window W, the consumption rate in the next n time units is predicted.

[0029] The input of the corresponding prediction model is the auxiliary material consumption data sequence within the time window, that is, the historical auxiliary material consumption data within a given time window W. For example, if the time window is 7 days, the input is the auxiliary material consumption data for each day in the past 7 days.

[0030] The output of the corresponding prediction model is the predicted value of auxiliary material consumption in the next n time units. For example, if the consumption rate is predicted for the next 3 days, the output is the estimated auxiliary material consumption for each of the next 3 days.

[0031] It is worth noting that the predicted value of auxiliary material consumption is related to historical consumption data, the working status of the production line, production plan, seasonal and cyclical factors, and emergencies. These factors jointly affect the consumption rate of auxiliary materials. Therefore, when building a prediction model, it is necessary to comprehensively consider these variables and make accurate predictions through the analysis of historical data and machine learning algorithms.

[0032] Among them, the historical consumption data represents the consumption of auxiliary materials in the past period of time; the working status of the production line represents the operating speed and load of the production line; the production plan represents the upcoming production tasks and expected output; the seasonal and cyclical factors represent changes in production activities within a specific time period; the emergencies represent emergencies such as equipment failures or production interruptions.

[0033] The safety stock is adjusted dynamically according to the auxiliary material consumption. The calculation formula is expressed as: ; In the formula, Expressed as the dynamically adjusted safety stock, Expressed as the average consumption per unit time, represents the warning lead time, represents the risk adjustment factor, Indicates the standard deviation of the consumption rate.

[0034] Among them, the average consumption per unit time can be regarded as a specific value of the consumption speed, representing the typical consumption speed of the auxiliary materials in a period of time; the standard deviation of the consumption speed reflects the fluctuation range of the consumption speed. The greater the fluctuation of the consumption speed, the greater the standard deviation, which means the higher the uncertainty of the consumption speed. Therefore, the logical relationship between consumption and consumption speed is reflected by the average consumption and the standard deviation of the consumption speed. Consumption is a specific manifestation of consumption speed, while the standard deviation of consumption speed takes into account the uncertainty of consumption speed. The two work together in the calculation formula of safety stock.

[0035] The safety stock corresponds to the corresponding warning line. When the actual inventory of auxiliary materials is lower than or reaches the calculated safety stock, it means that the auxiliary materials need to be replenished, and the corresponding auxiliary material replenishment task will be generated. Correspondingly, the system will automatically generate an early warning signal, and the corresponding unit will respond to the above signal to complete the auxiliary material replenishment process to avoid material shortage or outage.

[0036] 3. According to the current auxiliary material storage location and the location of the target auxiliary material adding station, determine the auxiliary material replenishment path corresponding to the auxiliary material replenishment task, and then generate the auxiliary material replenishment plan based on the auxiliary material replenishment task and auxiliary material replenishment path. 4. According to the auxiliary material replenishment plan and the current position and status of the AGV, assign the corresponding AGV to transport the required auxiliary materials from the storage area to the target auxiliary material adding station Different from the specific operation process for the auxiliary material replenishment plan in Example 1, in this embodiment, after the auxiliary material replenishment plan is determined, the trolley will be controlled in real time according to the auxiliary material replenishment plan to complete the effective supply of the target auxiliary material.

[0037] 5. Supply confirmation and feedback After the AGV successfully transports the auxiliary materials to the target location, the system confirms that the auxiliary materials have been successfully replenished through the sensors installed at the workstation, and feeds back the replenishment completion information to the data analysis unit and the material management unit, completing a replenishment process.

[0038] This embodiment achieves accurate and efficient management of auxiliary material replenishment through real-time monitoring, intelligent decision-making, path optimization and automated execution, which not only improves the flexibility and efficiency of the production line, but also reduces the risk of production interruption caused by auxiliary material shortage.

[0039] Example 3 refer to Figure 2 This embodiment provides a linkage loading auxiliary material advance calling system applicable to the linkage loading auxiliary material advance calling method described in Embodiment 1 or Embodiment 2, which includes: an auxiliary material monitoring unit, a data analysis unit, a material management unit and an AGV scheduling unit; The auxiliary material monitoring unit is used to collect auxiliary material remaining amount information of the auxiliary material adding station in real time, and transmit the auxiliary material remaining amount information to the data analysis unit; The data analysis unit is used to compare the actual inventory corresponding to the auxiliary material remaining quantity information with the preset safety inventory, and determine whether auxiliary material replenishment is needed according to the data comparison result, and if auxiliary material replenishment is needed, generate a corresponding auxiliary material replenishment task; The material management unit is used to receive the auxiliary material replenishment task, and determine the auxiliary material replenishment path corresponding to the auxiliary material replenishment task according to the current auxiliary material storage location and the location of the target auxiliary material adding station, and then generate an auxiliary material replenishment plan based on the auxiliary material replenishment task and the auxiliary material replenishment path, and send it to the AGV scheduling unit; The AGV scheduling unit is used to assign the corresponding AGV to transport the required auxiliary materials from the storage area to the target auxiliary material adding station according to the auxiliary material replenishment plan and the current position and status of the AGV; If the actual inventory reaches or is lower than the preset safety inventory, supplementary materials need to be replenished.

[0040] In the specific application of this embodiment, after the data analysis unit receives the data from the auxiliary material monitoring unit, it will compare and analyze the corresponding auxiliary material remaining quantity information with the preset safety inventory. If the remaining quantity of a certain auxiliary material is lower than the safety inventory, the data analysis unit will trigger the corresponding auxiliary material replenishment warning signal, prompting the need for auxiliary material replenishment. Once the auxiliary material replenishment warning signal is received, the material management unit will immediately start the replenishment process, specifically combining the current auxiliary material storage location and the location of the target auxiliary material adding station, calculate the optimal auxiliary material replenishment path, and then generate a detailed auxiliary material replenishment plan based on the replenishment task and the replenishment path, including replenishment time, replenishment quantity, transportation method and other information, and finally issue the corresponding plan to the AGV scheduling unit. As the execution end of the system, the AGV scheduling unit is responsible for dispatching the appropriate AGV (automatic guided vehicle) to transport auxiliary materials according to the auxiliary material replenishment plan issued by the material management unit to effectively complete the replenishment task.

[0041] Example 4 Based on Example 3, this example introduces the process of implementing the advance ordering of relevant auxiliary materials and subsequent replenishment in each unit, which is described in detail as follows.

[0042] 1. Auxiliary material monitoring unit In the auxiliary material monitoring unit, the use and remaining amount of auxiliary materials are monitored in real time by means of a low material level sensor installed at the key auxiliary material adding station of the wrapping unit. Accordingly, the auxiliary material remaining amount information collected in real time will be transmitted to the data analysis unit in real time through the network for processing and analysis. Among them, the low material level sensor can be selected according to the characteristics and storage method of the auxiliary materials.

[0043] 2. Data Preprocessing Unit Useful information is extracted from the raw sensor data and converted into a format that can be used for analysis. However, considering that the raw auxiliary material consumption data corresponding to the auxiliary material remaining amount information may contain one or more of noise, abnormal values ​​and missing values, this embodiment uses the isolation forest algorithm to identify and filter abnormal auxiliary material consumption data points to ensure the accuracy of subsequent analysis.

[0044] The Isolation Forest algorithm isolates data points by constructing a binary tree. In this process, it splits the data by randomly selecting an attribute and then randomly selecting a split value for that attribute, repeating this process until each point is isolated. Since outliers tend to be more easily isolated due to their characteristics, their paths in the tree will be shorter than normal points. In this way, abnormal data points can be accurately and quickly identified and filtered out from the analyzed data.

[0045] Specifically, an IsolationForest model with y trees is constructed; the original auxiliary material consumption data is input into the pre-trained IsolationForest model, and the abnormal score of each data point corresponding to the original auxiliary material consumption data is output, and then the original auxiliary material consumption data containing abnormal values ​​is identified and filtered out according to the abnormal score. Among them, the abnormal score reflects the abnormal degree of the data point, and the lower the score, the more likely it is an abnormal point.

[0046] 3. Safety Stock Dynamic Adjustment Unit First, the sliding window method combined with the LSTM network is used to predict the auxiliary material consumption. That is, given a time window W, the consumption rate in the next n time units is predicted.

[0047] Specifically, the input of the corresponding prediction model is the auxiliary material consumption data sequence within the time window, that is, the historical auxiliary material consumption data within a given time window W. For example, if the time window is 7 days, the input is the auxiliary material consumption data of each day in the past 7 days.

[0048] The output of the corresponding prediction model is the predicted value of auxiliary material consumption in the next n time units. For example, if the consumption rate is predicted for the next 3 days, the output is the estimated auxiliary material consumption for each of the next 3 days.

[0049] It is worth noting that the predicted value of auxiliary material consumption is related to historical consumption data, the working status of the production line, production plan, seasonal and cyclical factors, and emergencies. These factors jointly affect the consumption rate of auxiliary materials. Therefore, when building a prediction model, it is necessary to comprehensively consider these variables and make accurate predictions through the analysis of historical data and machine learning algorithms.

[0050] Specifically, the historical consumption data represents the consumption of auxiliary materials in the past period of time; the working status of the production line represents the operating speed and load of the production line; the production plan represents the upcoming production tasks and the expected output; the seasonal and cyclical factors represent the changes in production activities within a specific time period; the emergencies represent emergencies such as equipment failures or production interruptions.

[0051] Furthermore, the safety stock is dynamically adjusted according to the auxiliary material consumption, and the calculation formula is expressed as: ; In the formula, Expressed as the dynamically adjusted safety stock, Expressed as the average consumption per unit time, represents the warning lead time, represents the risk adjustment factor, Indicates the standard deviation of the consumption rate.

[0052] Among them, the average consumption per unit time can be regarded as a specific value of the consumption speed, representing the typical consumption speed of the auxiliary materials in a period of time; the standard deviation of the consumption speed reflects the fluctuation range of the consumption speed. The greater the fluctuation of the consumption speed, the greater the standard deviation, which means the higher the uncertainty of the consumption speed. Therefore, the logical relationship between consumption and consumption speed is reflected by the average consumption and the standard deviation of the consumption speed. Consumption is a specific manifestation of consumption speed, while the standard deviation of consumption speed takes into account the uncertainty of consumption speed. The two work together in the calculation formula of safety stock.

[0053] 4. Data Analysis Unit The data analysis unit serves as the data center of the system. It is responsible for collecting and storing data from the auxiliary material monitoring unit. By real-time monitoring of the auxiliary material consumption of the automatic loading equipment for winding and packaging, it automatically analyzes and warns of the risks of material shortage and outage. At the same time, the unit also records the historical data of auxiliary material replenishment to provide data support for production management and optimization. The preset safety stock corresponds to the corresponding warning line. Specifically, the data analysis unit compares the actual inventory corresponding to the auxiliary material remaining information with the preset safety stock, and determines whether auxiliary material replenishment is needed based on the data comparison results. If auxiliary material replenishment is needed, it generates the corresponding auxiliary material replenishment task. When the actual inventory of auxiliary materials is lower than or reaches the calculated safety stock, the system will automatically generate a warning signal and trigger the auxiliary material replenishment process to avoid material shortage or outage. 5. Material Management Unit Receive the auxiliary material replenishment task, and determine the auxiliary material replenishment path corresponding to the auxiliary material replenishment task according to the current auxiliary material storage location and the location of the target auxiliary material adding station, and then generate an auxiliary material replenishment plan based on the auxiliary material replenishment task and the auxiliary material replenishment path, and issue it to the AGV scheduling unit.

[0054] 6. AGV dispatching unit According to the auxiliary material replenishment plan, as well as the current position and status of the AGV, the corresponding AGV is assigned to transport the required auxiliary materials from the storage area to the target auxiliary material adding station. Specifically, the assigned AGV will automatically go to the auxiliary material storage area to load the required auxiliary materials according to the predetermined path and schedule, and then transport them to the target auxiliary material adding station to complete the replenishment task. In the above process, the AGV can be assisted and controlled in real time by the AGV scheduling unit according to the replenishment plan to complete the auxiliary material replenishment task, or the AGV can independently complete the auxiliary material replenishment operation according to the plan transmitted by the material management unit.

[0055] Furthermore, after the AGV successfully delivers the auxiliary materials to the target location, the system confirms that the auxiliary materials have been successfully replenished through the sensors installed at the workstations, and feeds back the replenishment completion information to the data analysis unit and the material management unit, completing a replenishment process. After the delivery is completed, the delivery arrival signal, delivery trigger time, and delivery completion time are fed back to the data analysis unit to calculate the advance material call time and make corresponding corrections to the safety inventory threshold. By collecting and analyzing data on the use and replenishment of auxiliary materials, accurate data support is provided for production management and auxiliary material procurement decisions, which helps to optimize inventory management and reduce costs.

[0056] In summary, through the close collaboration of these six units, the entire system has achieved automated and intelligent management of auxiliary material replenishment, opened up the last mile of auxiliary material distribution, effectively improved the flexibility and efficiency of the production line, and has important practical value and promotion prospects.

[0057] Example 5 This embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for calling in advance for auxiliary materials with linked loading as described in Example 1 or Example 2 are implemented.

[0058] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0060] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0061] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0062] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for calling for auxiliary materials in advance with linked feeding, characterized in that: include: Get the remaining amount information of auxiliary materials at the auxiliary material adding station; Compare the actual inventory corresponding to the auxiliary material remaining quantity information with the preset safety inventory, and determine whether the auxiliary material needs to be replenished based on the data comparison result; If auxiliary material replenishment is required, a corresponding auxiliary material replenishment task is generated, and the auxiliary material replenishment path corresponding to the auxiliary material replenishment task is determined according to the current auxiliary material storage location and the location of the target auxiliary material adding station; An auxiliary material replenishment plan is generated based on the auxiliary material replenishment task and the auxiliary material replenishment path, and according to the auxiliary material replenishment plan and the current position and status of the AGV vehicle, the corresponding AGV vehicle is assigned to transport the required auxiliary materials from the storage area to the target auxiliary material adding station.

2. The method for calling for auxiliary materials in advance with linkage feeding according to claim 1 is characterized in that: The data comparison determines whether auxiliary material replenishment is needed, including: if the actual inventory reaches or is lower than the preset safety inventory, auxiliary material replenishment is needed, and a corresponding auxiliary material replenishment task is generated.

3. The method for calling for auxiliary materials in advance for linkage feeding according to claim 1 or 2, characterized in that: The original auxiliary material consumption data corresponding to the auxiliary material remaining amount information contains one or more of noise, abnormal values ​​and missing values; Among them, the isolation forest algorithm is used to identify and filter out the original auxiliary material consumption data containing outliers, including: Obtain raw material consumption data; Input the original auxiliary material consumption data into the IsolationForest model to obtain an abnormal score for each data point corresponding to the original auxiliary material consumption data; According to the abnormality score, the raw auxiliary material consumption data containing abnormal values ​​is identified and filtered out.

4. The method for calling for auxiliary materials in advance with linkage feeding according to claim 3 is characterized in that: The isolation forest algorithm isolates each data point corresponding to the original auxiliary material consumption data by constructing a binary tree, and the path of the abnormal value in the binary tree is shorter than the path of the normal value in the tree.

5. The method for calling for auxiliary materials in advance for linked feeding according to claim 1 or 4, characterized in that: The sliding window method is combined with the LSTM network to predict the auxiliary material consumption corresponding to the auxiliary material consumption speed in the future n time units, and the preset safety stock is dynamically adjusted in real time according to the predicted auxiliary material consumption; The preset safety stock is dynamically adjusted in real time, and the calculation formula is expressed as: ； In the formula, Expressed as the dynamically adjusted safety stock, Expressed as the average consumption per unit time, represents the warning lead time, represents the risk adjustment factor, Indicates the standard deviation of the consumption rate.

6. The method for calling for auxiliary materials in advance for linked feeding according to claim 5, characterized in that: If the consumption of auxiliary materials in the next n time units increases, the threshold value corresponding to the preset safety stock will be increased accordingly; If the auxiliary material consumption in the next n time units decreases, the corresponding threshold of the preset safety stock will be reduced accordingly.

7. A system for calling in advance for auxiliary materials for linked loading, applicable to the method for calling in advance for auxiliary materials for linked loading as claimed in any one of claims 1 to 6, characterized in that: include: Auxiliary material monitoring unit, data analysis unit, material management unit and AGV scheduling unit; The auxiliary material monitoring unit is used to collect auxiliary material remaining amount information of the auxiliary material adding station in real time, and transmit the auxiliary material remaining amount information to the data analysis unit; The data analysis unit is used to compare the actual inventory corresponding to the auxiliary material remaining quantity information with the preset safety inventory, and determine whether auxiliary material replenishment is needed according to the data comparison result, and if auxiliary material replenishment is needed, generate a corresponding auxiliary material replenishment task; The material management unit is used to receive the auxiliary material replenishment task, and determine the auxiliary material replenishment path corresponding to the auxiliary material replenishment task according to the current auxiliary material storage location and the location of the target auxiliary material adding station, and then generate an auxiliary material replenishment plan based on the auxiliary material replenishment task and the auxiliary material replenishment path, and send it to the AGV scheduling unit; The AGV scheduling unit is used to assign the corresponding AGV to transport the required auxiliary materials from the storage area to the target auxiliary material adding station according to the auxiliary material replenishment plan and the current position and status of the AGV; If the actual inventory reaches or is lower than the preset safety inventory, supplementary materials need to be replenished.

8. The auxiliary material advance calling system with linked feeding according to claim 7 is characterized in that: Also includes: The data preprocessing unit is used to identify and filter abnormal values ​​in the original auxiliary material consumption data corresponding to the auxiliary material remaining amount information by using an isolation forest algorithm, wherein the identification and filtering includes: The data acquisition module is configured to acquire the raw auxiliary material consumption data; An abnormality score determination module is configured to input the original auxiliary material consumption data into an IsolationForest model to obtain an abnormality score for each data point corresponding to the original auxiliary material consumption data; The identification and filtering module is configured to identify and filter out the original auxiliary material consumption data containing abnormal values ​​according to the abnormality score.

9. The auxiliary material advance calling system with linked feeding according to claim 8 is characterized in that: Also includes: A safety stock quantity dynamic adjustment unit is used to combine the sliding window method with the LSTM network to predict the auxiliary material consumption corresponding to the auxiliary material consumption speed in the future n time units, and to dynamically adjust the preset safety stock quantity in real time according to the predicted auxiliary material consumption; The preset safety stock is dynamically adjusted in real time, and the calculation formula is expressed as: ； In the formula, Expressed as the dynamically adjusted safety stock, Expressed as the average consumption per unit time, represents the warning lead time, represents the risk adjustment factor, Indicates the standard deviation of the consumption rate.

10. The auxiliary material advance calling system with linked feeding according to claim 9 is characterized in that: If the consumption of auxiliary materials in the next n time units increases, the threshold value corresponding to the preset safety stock will be increased accordingly; If the auxiliary material consumption in the next n time units decreases, the corresponding threshold of the preset safety stock will be reduced accordingly.

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