Scheduling method for multi-bin-group combined charging

Abstract

The invention relates to the technical field of data processing, in particular to a scheduling method for multi-warehouse-group combined charging, and the method comprises the steps: collecting the weight data of each warehouse group every day; obtaining the average material consumption rate in each warehouse group every day, and obtaining the balance of material scheduling among the warehouse groups every day based on the average material consumption rate; the flow efficiency of materials in each bin group in each day is obtained, and the contribution degree of each bin group to the production target in each day is obtained based on the flow efficiency; based on the contribution degree of each bin group to the production target in each day and the balance of material scheduling among the bin groups in each day, the comprehensive priority of feeding of each bin group in each day is obtained; according to the comprehensive priority of feeding of each bin group in the next day, the comprehensive priority of feeding of each bin group in the next day is predicted, the timeliness and accuracy of material supply are improved, and continuous and stable operation of a production line is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and more specifically, to a scheduling method for joint feeding of a multi-silo group. Background Art

[0002] One of the core materials for metal 3D printing is high-purity metal powder, whose quality and stability directly affect the performance of the final printed product. In the metal 3D printing manufacturing industry, large production lines often involve multiple warehouse groups to jointly supply metal powder materials, and these different warehouse groups are distributed in different areas of the factory, each storing metal powders of different specifications. During the production process, specific types of powders need to be obtained from different warehouse groups for mixing. However, relying solely on manual scheduling often leads to problems such as untimely material supply, unbalanced material scheduling between warehouse groups, production line interruptions or excess inventory, which seriously affects production efficiency and cost control. Therefore, a scheduling method for joint feeding of multiple warehouse groups is needed to solve this problem.

[0003] The patent application document currently published with the publication number CN112269363A discloses an intelligent scheduling method for joint feeding of multiple bin groups. The present invention includes selecting a target bin group to be fed, and selecting raw material strips according to the required raw material types; adding bins in the selected bin group whose material levels are lower than the set value and have not yet been filled with the planned material volume to a queue, and then sorting the bins to be fed from small to large according to the remaining available time to form a queue of bins to be fed, wherein the bins to be fed are selected according to the order of the queue of bins to be fed, and the conveying equipment required from the strips to the bins is selected; setting a process of conveying the raw materials from the selected strips to the bins to be fed through the selected conveying equipment; and recording and updating the operating status of the conveying equipment and the feeding status of the bins in real time.

[0004] The above method mentions that when selecting the warehouse group to be charged and allocating the conveying equipment, the warehouse group to be charged is mainly selected based on the location of the materials in the warehouse group and the remaining available time. However, in actual scenarios, due to the complexity and dynamics of the production environment, simply relying on the location and time of the materials in the warehouse group may lead to uneven resource allocation, especially when multiple warehouse groups are charged together, which may easily lead to local overload or idleness. In addition, the above method does not fully consider the load balancing and overall production efficiency between warehouse groups, which may cause some warehouse groups to affect the production progress due to untimely material scheduling, while the remaining warehouse groups may waste resources due to material accumulation. This unbalanced scheduling method not only affects the continuity and stability of the production line, but may also increase production costs and reduce production efficiency. Summary of the invention

[0005] In order to solve the problem that the load balance and overall production efficiency among the warehouse groups are not fully considered, which leads to the production progress of some warehouse groups being affected due to untimely material scheduling, and the remaining warehouse groups may waste resources due to material accumulation, which ultimately increases production costs and reduces production efficiency, the present invention proposes a scheduling method for joint feeding of multiple warehouse groups, which includes the following steps: Collect the weight data of each warehouse group every day; obtain the average material consumption rate in each warehouse group every day, which represents the average speed of material consumption in each warehouse group every day; obtain the balance of material scheduling between each warehouse group every day according to the standard deviation of the average material consumption rate in each warehouse group every day; According to the ratio of the material consumption in each warehouse group to the initial material weight in each warehouse group every day, the material flow efficiency in each warehouse group every day is obtained; according to the material flow efficiency in each warehouse group every day, the contribution of each warehouse group to the production target every day is obtained; Obtaining the comprehensive priority of material addition for each warehouse group every day, wherein the comprehensive priority is positively correlated with the contribution of each warehouse group to the production target every day and the balance of material scheduling between each warehouse group every day; Based on the comprehensive priority of each warehouse group's feeding within a day, the comprehensive priority of each warehouse group's feeding within the next day is predicted.

[0006] The innovation of the present invention lies in obtaining the comprehensive priority of material addition for each warehouse group by comprehensively considering the balance of material scheduling between warehouse groups and the contribution of each warehouse group to the production target, thereby achieving precise control and balanced distribution of material scheduling between warehouse groups, effectively preventing the problems of local overload and idleness of warehouse groups, and solving the problem of reduced production efficiency caused by scheduling based on a single dimension. Finally, the weighted moving average method is used to analyze the comprehensive priority of material addition for each warehouse group in history, and the comprehensive priority of material addition for each warehouse group in the future is predicted, making production scheduling decisions more intelligent and flexible, significantly improving the timeliness and accuracy of material supply, ensuring the continuous and stable operation of the production line, while reducing production costs and improving overall production efficiency.

[0007] Preferably, obtaining the average material consumption rate in each warehouse group every day includes: ; In the formula, represents the average material consumption rate in the k-th warehouse group on the a-th day; represents the value of the i-th weight data collected in the k-th warehouse group on the a-th day; Represents the value of the i+1th weight data collected in the kth warehouse group on the ath day; represents the sampling time when the i-th weight data is collected in the k-th warehouse group on the a-th day; represents the sampling time when the i+1th weight data is collected in the kth warehouse group on the ath day; represents the number of weight data collected in the kth warehouse group on the ath day; || represents the absolute value symbol.

[0008] Preferably, obtaining the balance of material scheduling between warehouse groups every day includes: ; In the formula, Represents the balance of material scheduling among warehouse groups on day a; represents the average material consumption rate in the k-th warehouse group on the a-th day; Represents the mean of the average material consumption rate in all warehouse groups on day a; Represents the number of bin groups; exp() represents an exponential function with a natural constant as the base.

[0009] The greater the balance of material scheduling between warehouse groups within a day, the better the balance of material scheduling within that day. At this time, the priority of material scheduling for each warehouse group within that day is consistent, avoiding the risk of material shortages in the warehouse group, resulting in production line interruptions or untimely material supply.

[0010] Preferably, obtaining the flow efficiency of materials in each warehouse group every day includes: ; In the formula, Represents the flow efficiency of materials in the k-th warehouse group on the a-th day; It represents the value of the last weight data collected in the k-th warehouse group on the a-th day; It represents the value of the first weight data collected in the k-th warehouse group on the a-th day; || represents the absolute value symbol.

[0011] Preferably, obtaining the contribution of each warehouse group to the production target every day includes: ; In the formula, Represents the contribution of the k-th warehouse group to the production target on the a-th day; Represents the flow efficiency of materials in the k-th warehouse group on the a-th day; Represents the number of warehouse groups.

[0012] The greater the contribution of each warehouse group to the production target every day, the more important it is that the corresponding materials of the warehouse group are indispensable to production and the most critical to the realization of the production target. The higher the priority of adding materials to the warehouse group, the priority is given to ensuring the material supply of the warehouse group and ensuring the smooth achievement of the production target.

[0013] Preferably, the step of obtaining the comprehensive priority of feeding each warehouse group every day includes: ; In the formula, Represents the comprehensive priority of adding materials to the k-th warehouse group on the a-th day; Represents the contribution of the k-th warehouse group to the production target on the a-th day; Represents the balance of material scheduling among warehouse groups within the ath day.

[0014] Materials for each warehouse group are dispatched based on the comprehensive priority of material addition in each warehouse group every day, achieving precise control and balanced distribution of material dispatch between warehouse groups, and effectively preventing local overload and idleness of warehouse groups.

[0015] Preferably, the method of predicting the comprehensive priority of feeding each warehouse group in the next day according to the comprehensive priority of feeding each warehouse group in the day includes: Based on the comprehensive priority of the kth warehouse group's feeding in each day, the weighted average moving average method is used to predict the comprehensive priority of the kth warehouse group's feeding in the future day, and the comprehensive priority of the kth warehouse group's feeding in the future day is obtained, so as to obtain the comprehensive priority of each warehouse group's feeding in the future day.

[0016] Predicting the comprehensive priority of future material additions to each warehouse group makes production scheduling decisions more intelligent and flexible, significantly improving the timeliness and accuracy of material supply.

[0017] Preferably, the collecting of weight data of each warehouse group every day includes: The number of collection days is preset to M, and a weight sensor is installed at the bottom of each warehouse group. The sampling time is every two minutes. The weight data of each warehouse group is collected in turn each time, and the sampling time of the weight data of each warehouse group is recorded. The data is collected for M days in total, and the weight data of each warehouse group and the sampling time of each weight data of each warehouse in each day are obtained.

[0018] The present invention has the following beneficial effects: the present invention obtains the comprehensive priority of material addition of each warehouse group by comprehensively considering the balance of material scheduling between each warehouse group and the contribution of each warehouse group to the production target, thereby realizing the precise control and balanced distribution of material scheduling between warehouse groups, and effectively preventing the problems of local overload and idleness of warehouse groups. Finally, the weighted moving average method is used to analyze the comprehensive priority of material addition of each warehouse group in history, and the comprehensive priority of material addition of each warehouse group in the future is predicted, so that the production scheduling decision is more intelligent and flexible, and the timeliness and accuracy of material supply are significantly improved, while reducing production costs and improving overall production efficiency; further, the comprehensive priority is obtained according to the balance of material scheduling between each warehouse group within each day, so as to avoid the risk of material shortage faced by the warehouse group, resulting in production line interruption or untimely material supply; further, the comprehensive priority is obtained according to the contribution of each warehouse group to the production target within each day, and the material supply of important warehouse groups is given priority to ensure the smooth achievement of production targets. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein: Figure 1 The present invention is a flowchart of the steps of a scheduling method for joint feeding of multiple warehouses according to an embodiment of the present invention. DETAILED DESCRIPTION

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

[0021] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0022] See also Figure 1 , which shows a flowchart of a scheduling method for joint feeding of multiple warehouses provided by an embodiment of the present invention, the method comprising the following steps: S001. Collect the weight data of each warehouse group every day.

[0023] In an embodiment of the present invention, a number of collection days M is preset, and a weight sensor is installed at the bottom of each warehouse group. The weight data of each warehouse group is collected in turn every two minutes, and the sampling time of the weight data of each warehouse group is recorded. A total of M days are collected to obtain the weight data of each warehouse group and the sampling time of the weight data of each warehouse group. In an embodiment of the present invention, the preset number of collection days M=7. In other embodiments, the implementers can preset the value of the collection days according to the specific implementation situation.

[0024] S002. Obtain the average material consumption rate in each warehouse group every day, and based on the average material consumption rate in each warehouse group every day, obtain the balance of material scheduling between warehouse groups every day.

[0025] It should be noted that the patent application document with publication number CN112269363A discloses an intelligent scheduling method for joint feeding of multiple warehouse groups. The document mentions that when selecting the warehouse group to be fed and allocating the conveying equipment, the warehouse group to be fed is mainly selected based on the location of the materials in the warehouse group and the remaining available time. However, in actual scenarios, due to the complexity and dynamics of the production environment, simply relying on the location and time sorting of the materials in the warehouse group may lead to uneven resource allocation, especially in the case of joint feeding of multiple warehouse groups, it is easy for the materials in some warehouse groups to be locally overloaded or idle. In addition, the above patent does not fully consider the load balancing and overall production efficiency between the warehouse groups, which may cause some warehouse groups to affect the production progress due to untimely material scheduling, while the remaining warehouse groups may waste resources due to material accumulation. This unbalanced scheduling method not only affects the continuity and stability of the production line, but also may increase production costs and reduce production efficiency.

[0026] It should be further explained that in the actual production process, specific types of powders need to be obtained from different warehouse groups for mixing. At this time, there is a high possibility of imbalance in material scheduling. For example, the continuous use of a certain material may cause the corresponding warehouse group to face the risk of material shortage, resulting in production line interruption or untimely material supply. Therefore, it is necessary to analyze the weight data in any warehouse group within a period of time, obtain the average material consumption rate in the warehouse group within the period, and finally use the standard deviation of the average material consumption rate in different warehouse groups within the period to evaluate the balance of material scheduling between the warehouse groups; if the standard deviation of the average material consumption rate in different warehouse groups within the period is smaller, it means that the material scheduling is more balanced, and there will be no risk of material shortage or surplus in some warehouse groups.

[0027] In this embodiment of the present invention, the average material consumption rate in the k-th warehouse group on the a-th day is obtained:

[0028] In the formula, represents the average material consumption rate in the k-th warehouse group on the a-th day; Represents the value of the i-th weight data collected in the k-th warehouse group on the a-th day; Represents the value of the i+1th weight data collected in the kth warehouse group on the ath day; represents the sampling time when the i-th weight data is collected in the k-th warehouse group on the a-th day; represents the sampling time when the i+1th weight data is collected in the kth warehouse group on the ath day; represents the number of weight data collected in the kth warehouse group on the ath day; || represents the absolute value symbol; Represents the material consumption rate between the i-th weight data and the i+1-th weight data collected in the k-th warehouse group on the a-th day within their sampling time interval. The larger the value, the faster the material consumption rate between the i-th weight data and the i+1-th weight data within their sampling time interval. It represents the average value of the material consumption rate of all adjacent weight data collected in the kth warehouse group on the ath day, reflecting the average change of the material consumption rate of the kth warehouse group on the ath day. The larger the value is, the faster the material consumption in the kth warehouse group on the ath day.

[0029] Get the balance of material scheduling between warehouse groups on day a:

[0030] In the formula, Represents the balance of material scheduling among warehouse groups on day a; represents the average material consumption rate in the k-th warehouse group on the a-th day; Represents the mean of the average material consumption rate in all warehouse groups on day a; Represents the number of warehouse groups; exp() represents an exponential function with a natural constant as the base; Represents the standard deviation of the average material consumption rate of all warehouse groups within the a-th day. The smaller the value, the more consistent the material consumption rate changes among the warehouse groups within the a-th day, which means that the material scheduling within this day is more balanced.

[0031] S003. Based on the difference between the initial material weight and the final material weight in each warehouse group every day, the material flow efficiency in each warehouse group every day is obtained. Based on the material flow efficiency in each warehouse group every day, the contribution of each warehouse group to the production target every day is obtained. Based on the contribution of each warehouse group to the production target every day and the balance of material scheduling between warehouse groups every day, the comprehensive priority of adding materials to each warehouse group every day is obtained.

[0032] It should be noted that in the actual production process, the scheduling of materials used in warehouse groups can be adjusted according to the contribution of the warehouse groups to the production targets. If any warehouse group makes a greater direct contribution to the realization of production targets, it means that the materials in the warehouse group are the most critical to the realization of production targets. This may be because the materials they store are indispensable for production. By focusing on these key warehouse groups, enterprises can prioritize their material supply and ensure the smooth achievement of production targets. Therefore, the flow efficiency of materials in any warehouse group over a period of time can be calculated, that is, what proportion of the initial materials is consumed by the warehouse group during this period of time. Then, the contribution of the warehouse group to the production target during this period of time is measured by the ratio of the flow efficiency of the materials in the warehouse group during this period of time to the total flow efficiency of the materials in all warehouse groups during this period of time. This reflects which warehouse group has shown higher efficiency in material use during this period of time.

[0033] In this embodiment of the present invention, the flow efficiency of materials in the k-th warehouse group on the a-th day is obtained:

[0034] In the formula, Represents the flow efficiency of materials in the k-th warehouse group on the a-th day; It represents the value of the last weight data collected in the k-th warehouse group on the a-th day; represents the value of the first weight data collected in the k-th warehouse group on the a-th day; || represents the absolute value symbol; The larger the value is, the higher the ratio of material consumption in the k-th warehouse group within the a-th day relative to the initial material weight is. At this time, the greater the flow efficiency of materials in the k-th warehouse group within the a-th day is.

[0035] Get the contribution of the k-th warehouse group to the production target on the a-th day:

[0036] In the formula, Represents the contribution of the k-th warehouse group to the production target on the a-th day; Represents the flow efficiency of materials in the k-th warehouse group on the a-th day; Represents the number of warehouse groups; It represents the ratio of the material flow efficiency in the kth warehouse group on the ath day to the sum of the material flow efficiencies in all warehouse groups on the ath day. The larger the value is, the higher the contribution of the kth warehouse group to the production target is, because its efficiency in consuming materials among all warehouse groups is higher, and more materials are used on the production line than those in other warehouse groups.

[0037] It should be noted that the balance of material scheduling among warehouse groups within a period of time can evaluate whether the material consumption rate of each warehouse group is balanced during this period, and prevent some warehouse groups from becoming production bottlenecks due to material shortages; and warehouse groups that contribute a high degree to production targets within a period of time mean that they play a key role in the completion of production plans. Giving priority to the material scheduling of these warehouse groups can ensure the material supply of key production lines, thereby improving production efficiency and completing orders in a timely manner to meet customer needs. Therefore, combining the two to obtain the comprehensive priority of material addition for each warehouse group within a period of time can ensure the reasonable allocation of materials among the warehouse groups and optimize overall resource utilization.

[0038] In this embodiment of the present invention, the comprehensive priority of adding material to the k-th warehouse group on the a-th day is obtained:

[0039] In the formula, Represents the comprehensive priority of adding materials to the k-th warehouse group on the a-th day; Represents the contribution of the k-th warehouse group to the production target on the a-th day; Represents the balance of material scheduling among warehouse groups on day a; It represents the comprehensive priority of adding materials to the kth warehouse group within the ath day. The higher the balance of material scheduling between warehouse groups within the ath day, it means that the material consumption rate between warehouse groups within the ath day is not much different, and there is no problem of material shortage or surplus. And if the kth warehouse group contributes more to the production target within the ath day, it means that the materials of the warehouse group are more used on the production line. It is believed that the comprehensive priority of adding materials to the kth warehouse group within the ath day is higher. Therefore The larger the product of , the greater the comprehensive priority of adding materials to the k-th warehouse group within the a-th day.

[0040] Similarly, obtain the comprehensive priority of adding materials to each warehouse group every day.

[0041] S004. Based on the comprehensive priority of each warehouse group for adding materials every day, the comprehensive priority of each warehouse group for adding materials in the next day is predicted.

[0042] It should be noted that the present invention obtains the comprehensive priority of material addition for each warehouse group within a day, and can use the comprehensive priority of material addition for each warehouse group within a day to predict the comprehensive priority of material addition for each warehouse group in the future day, so as to adjust the order of material addition for each warehouse group according to the comprehensive priority of material addition for each warehouse group in the future day, so as to ensure the material supply of key production links.

[0043] In an embodiment of the present invention, based on the comprehensive priority of the kth warehouse group feeding in each day, the weighted average moving method is used to predict the comprehensive priority of the kth warehouse group feeding in the future day, and the comprehensive priority of the kth warehouse group feeding in the future day is obtained. It should be noted that the weighted average moving method is a prior art and will not be described in detail in the embodiment of the present invention.

[0044] Similarly, the comprehensive priority of each warehouse group for charging in the next day is obtained, and the warehouse groups are sorted using the comprehensive priority of each warehouse group for charging in the next day to regulate the order of charging. Warehouse groups with higher comprehensive priorities will be arranged to charge at an earlier time to ensure the material supply of key production links.

[0045] The innovation of the present invention lies in that it comprehensively considers the balance of material scheduling between warehouse groups and the contribution of each warehouse group to the production target to obtain the comprehensive priority of material adding for each warehouse group, thereby realizing the precise control and balanced distribution of material scheduling between warehouse groups, effectively preventing the problems of local overload and idleness of warehouse groups, and solving the problem of reduced production efficiency caused by scheduling based on a single dimension. Finally, the weighted moving average method is used to analyze the comprehensive priority of material adding for each warehouse group in history, and predict the comprehensive priority of material adding for each warehouse group in the future, so as to make production scheduling decisions more intelligent and flexible, significantly improve the timeliness and accuracy of material supply, ensure the continuous and stable operation of the production line, and at the same time reduce production costs and improve overall production efficiency.

[0046] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A scheduling method for joint feeding of multiple warehouses, characterized in that: include: Collect weight data of each warehouse group every day; Obtain the average material consumption rate in each warehouse group every day, where the average material consumption rate represents the average speed of material consumption in each warehouse group every day; obtain the balance of material scheduling between each warehouse group every day based on the standard deviation of the average material consumption rate in each warehouse group every day; According to the ratio of the material consumption in each warehouse group to the initial material weight in each warehouse group every day, the material flow efficiency in each warehouse group every day is obtained; according to the material flow efficiency in each warehouse group every day, the contribution of each warehouse group to the production target every day is obtained; Obtaining the comprehensive priority of material addition for each warehouse group every day, wherein the comprehensive priority is positively correlated with the contribution of each warehouse group to the production target every day and the balance of material scheduling between each warehouse group every day; Based on the comprehensive priority of each warehouse group's feeding within a day, the comprehensive priority of each warehouse group's feeding within the next day is predicted.

2. A scheduling method for joint feeding of multiple warehouses according to claim 1, characterized in that: The method of obtaining the average material consumption rate in each warehouse group every day includes: ； In the formula, represents the average material consumption rate in the k-th warehouse group on the a-th day; Represents the value of the i-th weight data collected in the k-th warehouse group on the a-th day; Represents the value of the i+1th weight data collected in the kth warehouse group on the ath day; represents the sampling time when the i-th weight data is collected in the k-th warehouse group on the a-th day; represents the sampling time when the i+1th weight data is collected in the kth warehouse group on the ath day; represents the number of weight data collected in the kth warehouse group on the ath day; || represents the absolute value symbol.

3. A scheduling method for joint feeding of multiple warehouses according to claim 1, characterized in that: The method of obtaining the balance of material scheduling between warehouse groups every day includes: ； In the formula, Represents the balance of material scheduling among warehouse groups on day a; represents the average material consumption rate in the k-th warehouse group on the a-th day; Represents the mean of the average material consumption rate in all warehouse groups on day a; Represents the number of bin groups; exp() represents an exponential function with a natural constant as the base.

4. A scheduling method for joint feeding of multiple warehouses according to claim 1, characterized in that: The method of obtaining the flow efficiency of materials in each warehouse group every day includes: ； In the formula, represents the flow efficiency of materials in the k-th warehouse group on the a-th day; It represents the value of the last weight data collected in the k-th warehouse group on the a-th day; It represents the value of the first weight data collected in the k-th warehouse group on the a-th day; || represents the absolute value symbol.

5. A scheduling method for joint feeding of multiple warehouses according to claim 1, characterized in that: The step of obtaining the contribution of each warehouse group to the production target every day includes: ； In the formula, Represents the contribution of the k-th warehouse group to the production target on the a-th day; represents the flow efficiency of materials in the k-th warehouse group on the a-th day; Represents the number of warehouse groups.

6. A scheduling method for joint feeding of multiple warehouses according to claim 1, characterized in that: The comprehensive priority of adding materials to each warehouse group every day is obtained, including: ； In the formula, Represents the comprehensive priority of adding materials to the k-th warehouse group on the a-th day; Represents the contribution of the k-th warehouse group to the production target on the a-th day; Represents the balance of material scheduling among warehouse groups within the ath day.

7. A scheduling method for joint feeding of multiple warehouses according to claim 1, characterized in that: The method of predicting the comprehensive priority of feeding each warehouse group in the next day according to the comprehensive priority of feeding each warehouse group in the day includes: Based on the comprehensive priority of the kth warehouse group's feeding in each day, the weighted average moving average method is used to predict the comprehensive priority of the kth warehouse group's feeding in the future day, and the comprehensive priority of the kth warehouse group's feeding in the future day is obtained, so as to obtain the comprehensive priority of each warehouse group's feeding in the future day.

8. A scheduling method for joint feeding of multiple warehouses according to claim 1, characterized in that: The weight data of each warehouse group collected every day includes: The number of collection days is preset to M, and a weight sensor is installed at the bottom of each warehouse group. The sampling time is every two minutes. The weight data of each warehouse group is collected in turn each time, and the sampling time of the weight data of each warehouse group is recorded. The data is collected for M days in total, and the weight data of each warehouse group and the sampling time of each weight data of each warehouse in each day are obtained.

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