Quick ex-warehouse control method for three-dimensional storage of electric power materials

Abstract

The invention discloses a rapid ex-warehouse control method for electric power material three-dimensional storage, and relates to the technical field of electric power material storage, and the method comprises the steps: carrying out the statistical analysis of the ex-warehouse frequency and correlation of each material, preferentially placing the material with the high ex-warehouse frequency in a goods location where ex-warehouse is convenient, and placing the associated ex-warehouse material in an adjacent region. And optimizing the storage position of the material based on the warehouse-out convenience weight of the attributes such as the number of layers, the row position and the column position of the storage location. A first-level cache area and a second-level cache area are arranged in the warehouse, the first-level cache area is used for material warehouse-out pretreatment, and the second-level cache area is used for temporarily storing materials according to emergencies such as weather. And after the WMS system generates a warehouse-out task list, the WCS system moves the materials from the storage location to the I-level cache region through a minimum path algorithm, and updates the material correlation record table. A warehouse-out prediction list is generated according to weather information and historical data, the warehouse-out prediction list is issued to a WCS system after being audited by an administrator, materials in the prediction list are moved to a level-II cache region in advance, and the warehouse-out efficiency is improved.

Description

Technical Field

[0001] The invention relates to the technical field of electric power material storage, and in particular to a rapid outbound control method for three-dimensional storage of electric power materials. Background Art

[0002] Power inventory materials are the main form of supply guarantee for power maintenance, emergency repair and other operation and maintenance materials, and are crucial to the support of the power company's large-scale maintenance system. With the continuous expansion of the scale of power material inventory management and the increase in the requirements for refined management, the standardization and normalization requirements of warehouse management have also increased. The traditional manual warehouse operation mode and data collection method can no longer meet the requirements of modern warehouse management, affecting work efficiency and becoming an obstacle to improving the level of power storage management. As one of the main inventory methods, the automated stereoscopic warehouse can effectively save warehouse space, increase storage capacity, and improve the efficiency of goods storage and retrieval, thereby helping to strengthen business operations and management capabilities.

[0003] Prior art, such as CN110175798A, discloses a method for operating a warehousing system based on a mobile application, which includes: establishing a warehousing system and an ERP system, performing warehousing, outbound, inventory, transfer, and in-warehouse goods transfer processes according to the warehousing system and the ERP system, and integrating applications with the ERP system to achieve data synchronization and sharing of warehousing account information, in-warehouse information, and the ERP system. The outbound delivery is issued through the ERP system, and an outbound delivery order is generated in the warehousing system. The outbound delivery order is checked through the inspection process module to confirm whether it is wave picking. If so, a wave order is generated according to the wave strategy and a picking order is generated according to the allocation strategy. If not, a picking order is directly generated according to the allocation strategy. After completing the picking, check whether the picking order is completed, generate a shipping order after confirmation through the inspection process module, and complete the shelving after confirming the shipping order.

[0004] Although the existing technology has realized the informatization and automation of storage management to a certain extent, there are still some defects and shortcomings in the three-dimensional storage of power materials:

[0005] 1. Unreasonable storage strategy: The existing storage strategy of three-dimensional warehousing of power materials is mainly to find the nearest vacant storage space or store materials with the same attributes by region. It does not consider the frequency of single material outbound delivery and the problem of rapid outbound delivery of multiple materials, resulting in an increase in the number of material transfers in three-dimensional warehousing and low outbound efficiency.

[0006] 2. Lack of pre-depot method: The existing three-dimensional warehousing of power materials does not adopt the pre-depot method, and personnel need to arrive at the storage site to perform the depot operation, which seriously restricts the depot efficiency.

[0007] 3. Lack of dynamic adjustment: With seasonal changes, sudden weather events and other situations, the demand for power materials to be shipped out will change significantly, but the existing three-dimensional warehousing of power materials does not dynamically adjust the storage of materials in the warehouse, which greatly restricts the rapid shipment of power materials.

[0008] 4. Material relevance and seasonality are not fully utilized: The frequency of use of power materials varies. Some power materials are frequently used, while others are only used once in a long time. This leads to large differences in the frequency of use of power materials. Materials shipped out together are more likely to be shipped out at the same time in subsequent task orders. In addition, with seasonal changes, the quantity and type of power materials required vary greatly. Different seasons and severe weather have different impacts on the power grid, and the power repair materials required are also different. Existing technologies fail to fully utilize this information for storage optimization.

[0009] Therefore, there is an urgent need for a convenient, time-saving and efficient intelligent three-dimensional warehouse outbound control method for power materials to improve the efficiency of outbound goods in the warehouse. Abandoning traditional warehouse management thinking, adopting innovative warehouse management models, realizing the rational layout of warehouse resources, improving warehouse management standards, comprehensively integrating resources, improving the efficient use of warehouse resources, and optimizing warehouse management business processes are the inevitable trends in the future development of warehouse management. Summary of the invention

[0010] The problem to be solved by the present invention is that the existing technology has unreasonable storage strategy, lack of pre-depot method, lack of dynamic adjustment and under-utilization of material relevance and seasonal influence, and proposes a rapid depot control method for three-dimensional storage of power materials.

[0011] In order to solve the above problems, the present invention provides a method for controlling the rapid outbound storage of electric power materials in three-dimensional storage, comprising the following steps:

[0012] S1: Power materials storage:

[0013] S1-1: The warehouse control system statistically analyzes the outbound frequency and correlation of each material, places materials with high outbound frequency in convenient locations, and places related outbound materials in adjacent areas;

[0014] S1-2: Design of the convenience weight of outbound delivery of three-dimensional storage locations: Based on the number of layers, row position, column position and other attributes of the location, set the convenience weight of outbound delivery for each location;

[0015] The weight formula of the convenience of outbound storage location is:

[0016] W LRC =W L +W R +W C ;

[0017] Among them, W LRC represents the convenience weight of the outbound delivery of the storage location (L, R, C), W L , W R , W C Represent the weights of the number of layers, row positions, and column positions respectively;

[0018] Update the outbound convenience weight of the storage location based on the outbound probability and material relevance of the incoming materials:

[0019] W′ LRC =W LRC +(P ij ·Weight increment)-((1-P ij )·weight reduction);

[0020] Among them, Pij represents the probability of material correlation, and the material numbers are represented by Wi and Wj;

[0021] S2: Pre-processing of power materials out of warehouse:

[0022] S2-1: A buffer zone is set up inside the warehouse to store materials to be collected. The applicant sends a collection task order through a remote device, and the warehouse WCS control system automatically places the materials on the material list into the buffer zone;

[0023] S2-2: Pre-processing process of three-dimensional warehouse delivery:

[0024] After the WMS system generates the material outbound task order after approval, the WMS system sends the outbound task order to the WCS system; the WCS system generates an outbound preprocessing work order based on the batch outbound material list and the minimum path algorithm; sets up the Level I and Level II cache areas in the three-dimensional storage location, of which the Level I cache area is used for material outbound preprocessing, and the Level II cache area is used for temporary placement of materials due to emergencies such as weather; the WCS receives the outbound task order; checks the availability of the Level I cache area; calls the outbound minimum path algorithm to move the task order materials from the storage location to the Level I cache area; records the storage location of the materials on the material outbound order in the Level I cache area; the WCS feedbacks the end of preprocessing and updates the material correlation record table.

[0025] S3: Minimum path selection for power materials out of warehouse:

[0026] S3-1: Issue outbound tasks through remote equipment terminals, and use multi-task parallel intelligent analysis to optimize and schedule tasks, ensure smooth operation of conveying equipment, avoid collisions with any objects, and maximize work efficiency and logistics operation benefits;

[0027] S3-2: Utilize the refined decomposition of tasks and analysis of routes to intelligently specify the optimal picking location and realize automated minimum path selection to improve the speed and accuracy of loading and unloading goods.

[0028] S4: Dynamic adjustment of power material storage locations:

[0029] S4-1: Taking into account seasonal changes, weather forecasts, and project demand factors, dynamically adjust material storage locations, and move materials with a high probability of being shipped out in the near future to areas close to the export area to achieve rapid storage and warehousing operations;

[0030] S4-2: Intelligent robots are equipped in the three-dimensional storage warehouses for electric power materials to automatically collect important information such as weather that may affect the power grid. Based on previous learning experience, the intelligent robots generate a delivery forecast list and send it to the administrator for review. The administrator reviews the delivery forecast list and issues the electric power material delivery forecast list to the WCS system. The WCS system moves the materials from the storage location to the Level II cache area based on the delivery forecast list.

[0031] Preferably, the correlation analysis of materials in the power material warehousing in step S1 is based on the work demand material correlation and historical outbound correlation factors to obtain the material correlation probability, and the materials with high correlation probability are placed in physically adjacent areas to facilitate simultaneous outbound delivery.

[0032] Preferably, in the step S2, in the pre-processing of power material delivery, the goods and pallets are bound to data by using RFID / barcode information identification technology, so as to effectively control the flow status of the goods, and remind the applicant that the materials have arrived at the buffer storage location through SMS or system messages at the front end of the system.

[0033] Preferably, in the step S4, the dynamic adjustment of the power material storage location is combined with seasonal changes and sudden weather conditions to predict the materials that are urgently needed in the next few days, and the materials are placed in the buffer area to achieve rapid release from the warehouse during power repairs.

[0034] Preferably, in the S1 electric power material storage, the setting of the convenience weight of the storage location out of the storage also includes the following steps:

[0035] A. Increase the weight of the convenience of outbound delivery based on the location of the warehouse near the exit and the lane;

[0036] B. In multi-layer warehouses, the convenience weight of outbound storage at each level is designed according to the above method.

[0037] Preferably, the calculation formula for the frequency of power materials leaving the warehouse is:

[0038]

[0039] Among them, Fi represents the frequency of material Wi’s outbound shipment, Ci represents the number of times material Wi is outbound per month, and T represents the total number of times it is outbound.

[0040] Preferably, the correlation probability calculation formula of the power materials is:

[0041]

[0042] Among them, Pij represents the probability that materials Wi and Wj are shipped out together, Cij represents the number of times materials Wi and Wj are shipped out together, and Cj represents the total number of times material Wj is shipped out.

[0043] Preferably, in the step S4 of dynamically adjusting the storage location of electric power materials, the outbound forecast processing includes a dynamic adjustment step: based on the outbound forecast demand, the materials are adjusted to a location close to the exit.

[0044] Preferably, the buffer area is arranged in the bottom layer of the three-dimensional warehouse, and the number of buffer locations is reasonably set according to historical delivery orders and emergency delivery orders.

[0045] Compared with the prior art, the present invention has the following beneficial technical effects:

[0046] 1. Improve outbound efficiency:

[0047] Optimize storage strategy: By statistically analyzing the outbound frequency of each material, materials with high outbound frequency are placed in storage locations that are convenient for outbound delivery, and related outbound materials are placed in adjacent areas. The present invention statistically analyzes the outbound frequency of each material through a warehouse control system, and combined with the usage characteristics of power materials, defines power materials that frequently appear in the same outbound task order as related materials, and places materials with high outbound frequency in storage locations that are convenient for outbound delivery, and related outbound materials are placed in adjacent areas. At the same time, when entering the warehouse, placing related materials in adjacent locations reduces the number of times materials are moved, significantly improves outbound efficiency, and solves the problem of low outbound efficiency caused by unreasonable storage strategies in the prior art.

[0048] Pre-depot processing: Introducing the pre-depot method, in the pre-processing stage of power material delivery, a buffer is set up inside the warehouse to store the materials to be received. The applicant sends the delivery task order through the remote device, and the WCS control system automatically places the materials in the buffer. Making preparations for delivery in advance shortens the time of delivery operation, avoids the delay of manual operation on site, reduces the time for personnel to perform delivery operation after arriving at the storage site, improves delivery efficiency, and makes up for the lack of pre-depot methods in the existing technology.

[0049] 2. Dynamically adjust storage locations:

[0050] Adjustment based on seasons and emergencies: The present invention dynamically adjusts material storage locations based on seasonal changes, weather forecasts, project requirements and other factors, and adjusts materials with a high probability of being shipped out in the near future to areas close to exports, ensuring that they can be shipped out quickly during peak demand periods, thereby improving the flexibility and response speed of warehouse management and solving the problem of lack of dynamic adjustment in the prior art.

[0051] Utilize material relevance: By analyzing the outbound relevance of materials, materials with high relevance are placed in physically adjacent areas to facilitate simultaneous outbound delivery, further improving the efficiency of outbound operations.

[0052] 3. Intelligent management:

[0053] Intelligent robot assistance: The present invention equips the three-dimensional storage warehouse with intelligent robots, which automatically collect important information such as weather that can affect the power grid, and generates a delivery forecast based on learning experience. The administrator reviews the delivery forecast and issues a delivery instruction to the WCS system. The WCS system moves the materials from the storage location to the Level II cache area based on the forecast. This reduces the error of human judgment and improves the accuracy and timeliness of delivery forecasts.

[0054] Optimal path selection: The present invention utilizes multi-task parallel intelligent analysis to optimize and schedule tasks. Through the minimum path selection algorithm, it ensures the smooth operation of the conveying equipment, avoids collision with any objects, and maximizes the efficiency of logistics operations.

[0055] 4. Improve the standardization and normalization of warehouse management:

[0056] Information integration: By using information identification technologies such as RFID / barcodes, goods and pallets are bound to data, achieving effective control of the flow status of goods, and reminding applicants through text messages or system messages at the front end of the system that the materials have arrived at the buffer storage location, thus achieving standardization and normalization of warehouse management.

[0057] In summary, the present invention significantly improves the outbound efficiency and management level of three-dimensional warehousing of power materials through a series of technical improvements such as optimizing storage strategies, pre-outbound processing, dynamic adjustment of storage locations, intelligent management and information integration, and solves the problems existing in the prior art such as unreasonable storage strategies, lack of pre-outbound methods, lack of dynamic adjustment, and underutilization of material relevance and seasonal effects, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a schematic diagram of the process modules of the rapid outbound control method of three-dimensional storage of electric power materials of the present invention.

[0059] Figure 2 This is a schematic diagram of the process module for materials warehousing.

[0060] Figure 3 Schematic diagram of the process module for material outbound preprocessing and minimum path selection for power material outbound.

[0061] Figure 4 This is a schematic diagram of the process module for dynamic adjustment of power material storage locations. DETAILED DESCRIPTION

[0062] The present invention will be further explained below in conjunction with the accompanying drawings and embodiments.

[0063] Reference Figure 1-Figure 4 As shown, a method for controlling the rapid outbound storage of electric power materials in a three-dimensional warehouse includes the following steps:

[0064] Step 1: Electric power materials enter the warehouse. The warehouse control system statistically analyzes the frequency of each material’s outbound shipment and the probability of materials that are frequently shipped out in batches based on historical outbound shipments. When entering the warehouse, materials with high outbound shipment frequencies are first placed in cargo locations that are convenient for outbound shipments; secondly, materials that are bound together for outbound shipments are placed in adjacent areas to improve outbound shipment efficiency. The core of this step is to analyze the outbound shipment frequency and material correlation of materials. Based on factors such as the correlation of materials required for work and the correlation of historical outbound shipments, the probability of material correlation is obtained, and materials with high correlation probabilities are placed in physically related areas to facilitate simultaneous outbound shipments. The correlation of each outbound shipment provides a historical basis for the subsequent correlation of materials and provides data samples for model training.

[0065] Step 2: Pre-processing of power materials outbound. A buffer zone is set up inside the warehouse to store materials to be collected. When the user sends a collection task order in advance, the warehouse WCS control system automatically places the materials on the material list into the buffer zone. By using information identification technologies such as RFID / barcodes, the goods and pallets are bound to data to effectively control the flow status of the goods, and the applicant is informed of the arrival of the materials at the buffer zone and can be collected through SMS and system message reminders at the front end of the system. The applicant can also check the outbound status of the goods at any time through the portable device, thus avoiding unnecessary waiting time.

[0066] Step 3: Select the minimum path for power materials to be shipped out of the warehouse. By issuing the outbound task on the remote device terminal, the intelligent analysis of multiple tasks in parallel is used to optimize and schedule the task. The refined splitting of tasks and the analysis of routes are used to ensure the smooth operation of the conveying equipment without collision with any objects. At the same time, it can also maximize the work efficiency and the benefits of logistics operations to meet the higher-level deployment requirements of the WMS system. This method can realize the automatic minimum path selection in the process of material shipment, and intelligently specify the optimal picking location, thereby greatly improving the speed and accuracy of loading and unloading goods.

[0067] Step 4: Dynamic adjustment of power material storage locations. Taking into account seasonal changes, weather forecasts, project demand conditions, and material demand correlation, dynamically adjust material storage locations, move materials with a high probability of leaving the warehouse in the near future to areas close to the export area, make emergency preparations, and thus achieve rapid storage and retrieval operations.

[0068] Method for selecting storage location for power materials:

[0069] (1) Weight design of the convenience of outbound delivery of three-dimensional storage locations

[0070] The storage location has attributes such as number of layers, row position, column position, etc. Based on these attributes, the convenience weight of each storage location is set. With the storage location's convenience weight attribute, when entering the warehouse, the convenience weight of the storage location for the material is calculated based on the probability of the incoming materials leaving the warehouse and the material relevance, and the appropriate storage location is selected.

[0071] The weight formula of the convenience of outbound storage location is:

[0072] W LRC =W L +W R +W C ;

[0073] Among them, W LRC represents the convenience weight of the outbound delivery of the storage location (L, R, C), W L , W R , W C Represent the weights of the number of layers, row positions, and column positions respectively;

[0074] Update the outbound convenience weight of the storage location based on the outbound probability and material relevance of the incoming materials:

[0075] W′ LRC =W LRC +(P ij ·Weight increment)-((1-P ij )·weight reduction);

[0076] Among them, Pij represents the probability of material correlation, and the material numbers are represented by Wi and Wj;

[0077] Referring to the storage diagram of the three-dimensional warehouse plane shown in Table 1, the weight of the convenience of outbound delivery of each storage location is filled in the storage location grid. The larger the weight, the more convenient the outbound delivery location. In multi-layer three-dimensional warehouses, the weight of the convenience of outbound delivery of each storage location on each layer can be designed in a similar way. In the middle of Table 1 is the aisle, with 5 columns on the left and 5 columns on the right. The weight of the convenience of outbound delivery of the storage locations on the left and right sides is the same. The storage locations close to the exit and the aisle have better outbound delivery convenience and better corresponding weights.

[0078]

[0079] Table 1. Design table of weights for convenience of warehouse outbound delivery

[0080] In a further preferred embodiment, when power materials are put into storage, the setting of the convenience weight of the storage location and the storage outflow also includes the following steps:

[0081] A. Increase the weight of the convenience of outbound delivery based on the location of the warehouse near the exit and the lane;

[0082] B. In multi-layer warehouses, the convenience weight of outbound storage at each level is designed according to the above method.

[0083] Preferably, the calculation formula for the frequency of power materials leaving the warehouse is:

[0084]

[0085] Among them, Fi represents the frequency of material Wi’s outbound shipment, Ci represents the number of times material Wi is outbound per month, and T represents the total number of times it is outbound.

[0086] Preferably, the correlation probability calculation formula of the power materials is:

[0087]

[0088] Among them, Pij represents the probability that materials Wi and Wj are shipped out together, Cij represents the number of times materials Wi and Wj are shipped out together, and Cj represents the total number of times material Wj is shipped out.

[0089] Example of power material storage:

[0090] Referring to Table 2, assuming that there are 6 types of power materials W1, W2, W3, W4, W5, and W6, according to historical statistics, the frequency of W1's outgoing frequency is 18 times / month, the frequency of W2's outgoing frequency is 10 times / month, the frequency of W3's outgoing frequency is 7 times / month, the frequency of W4's outgoing frequency is 2 times / month, the frequency of W5's outgoing frequency is 0.5 times / month, and the frequency of W6's outgoing frequency is 13 times / month; the probability of W5 and W4 being outgoing together is 100%, the probability of W4 and W3 being outgoing together is 70%, the probability of W3 and W2 being outgoing together is 80%, and the probability of W2 and W1 being outgoing together is 85%. Then, there is a good correlation between power materials W1, W2, W3, W4, and W5. The closest position when these power materials are stored is to put W1, W2, W3, W4, and W5 in adjacent positions. Table 2 shows the best storage methods for these 6 materials.

[0091] Based on the storage of the six types of materials shown in Table 2, if there are two materials W7 and W8 that need to be put into storage, the frequency of W7's outbound shipment is 10 times / month, and the frequency of W8's outbound shipment is 16 times / month; the probability of W7 and W6 being outbound together is 90%, and there is no relevant record for W8. For material W7, the weight of the position to the left of W6 for the convenience of W7's outbound shipment can be updated to: 31+39×90%-39×(1-90%)=62.2;

[0092] Therefore, for material W7, the position to the left of W6 is the most suitable position. Material W8 is allocated to the empty position opposite W1 according to the frequency of outbound delivery.

[0093] According to the above description, after adding materials W7 and W8, the storage of materials in the warehouse is shown in Table 3.

[0094]

[0095] Table 2 is the storage table of 6 types of materials

[0096]

[0097] Table 3 is the storage table of 8 types of materials

[0098] Example of pre-processing of power materials out of warehouse

[0099] Reference Figure 3 As shown in the figure, after the WMS system generates the material outbound task order after approval, the WMS system sends the outbound task order to the WCS system. The WCS system generates an outbound preprocessing work order based on the batch outbound material list and the minimum path algorithm. The outbound preprocessing process of three-dimensional warehousing: WCS receives the material outbound task order issued by WMS, moves the materials on the task order to the I-level cache area, and feeds back the preprocessing completion information to WMS.

[0100] As shown in Table 4, the cache area of ​​the three-dimensional warehouse storage location is set up: level I cache area and level II cache area are set up in the three-dimensional warehouse storage location. The level I cache area is used for pre-processing of materials outbound, and the level II cache area is used for temporary placement of materials according to emergencies such as weather. The cache area is set in the bottom layer of the three-dimensional warehouse, and the number of cache locations is reasonably set according to historical outbound orders and emergency outbound orders.

[0101]

[0102] Table 4 Schematic diagram of level Ⅰ and level Ⅱ cache areas

[0103] Dynamic adjustment implementation example of power material storage location

[0104] Reference Figure 4As shown, "intelligent robots" are equipped in the three-dimensional storage warehouse of electric power materials to automatically collect important information such as weather that can affect the power grid. Based on previous learning experience, the "intelligent robot" gives a forecast for the discharge of electric power materials, generates a discharge forecast list, and sends it to the administrator for review. The administrator reviews the discharge forecast list (whether the forecast list is needed, whether the electric power materials on the forecast list are complete, and whether the types and quantities of materials are added or deleted according to the situation). The "intelligent robot" receives the approval of the administrator and issues the discharge forecast list of electric power materials to the WCS system. The WCS system moves the electric power materials in the forecast list from the storage location to the Level II cache area based on the discharge forecast list.

[0105] In the description of the present invention, it should be noted that the terms "upper", "lower", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0106] It should be noted that, in the present invention, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0107] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features of the invention described herein.

Claims

1. A rapid outbound control method for three-dimensional storage of electric power materials, characterized in that: The following steps are involved: S1: Power materials storage: S1-1: The warehouse control system statistically analyzes the outbound frequency and correlation of each material, places materials with high outbound frequency in convenient locations, and places related outbound materials in adjacent areas; S1-2: Design of the convenience weight of outbound delivery of three-dimensional storage locations: Based on the number of layers, row position, column position and other attributes of the location, set the convenience weight of outbound delivery for each location; The weight formula of the convenience of outbound storage location is: IN LRC =In L +W R +W C . Among them, W LRC represents the convenience weight of the outbound delivery of the storage location (L, R, C), W L , W R , W C Represent the weights of the number of layers, row positions, and column positions respectively; Update the outbound convenience weight of the storage location based on the outbound probability and material relevance of the incoming materials: W′ LRC =W LRC +(P ij ·Weight increment)-((1-P ij )·weight reduction); Among them, P ij Indicates the probability of relevance of materials, and the material number is W i and W j express; S2: Pre-processing of power materials out of warehouse: S2-1: A buffer zone is set up inside the warehouse to store materials to be collected. The applicant sends a collection task order through a remote device, and the warehouse WCS control system automatically places the materials on the material list into the buffer zone; S2-2: Pre-processing process of three-dimensional warehouse delivery: After the WMS system generates a material outbound task order after approval, the WMS system sends the outbound task order to the WCS system; the WCS system generates an outbound preprocessing work order based on the batch outbound material list and the minimum path algorithm; sets up a level I cache area and a level II cache area for the three-dimensional storage location, where the level I cache area is used for material outbound preprocessing, and the level II cache area is used for temporary placement of materials due to emergencies such as weather; the WCS receives the outbound task order; checks the availability of the level I cache area; calls the outbound minimum path algorithm to move the task order materials from the storage location to the level I cache area; records the storage location of the materials on the material outbound order in the level I cache area; the WCS feedbacks the end of preprocessing and updates the material correlation record table. S3: Minimum path selection for power materials out of warehouse: S3-1: Issue outbound tasks through remote equipment terminals, and use multi-task parallel intelligent analysis to optimize and schedule tasks, ensure smooth operation of conveying equipment, avoid collisions with any objects, and maximize work efficiency and logistics operation benefits; S3-2: Utilize the refined decomposition of tasks and analysis of routes to intelligently specify the optimal picking location and realize automated minimum path selection to improve the speed and accuracy of loading and unloading goods. S4: Dynamic adjustment of power material storage locations: S4-1: Taking into account seasonal changes, weather forecasts, and project demand factors, dynamically adjust material storage locations, and move materials with a high probability of being shipped out in the near future to areas close to the export area to achieve rapid storage and warehousing operations; S4-2: Intelligent robots are equipped in the three-dimensional storage warehouses for electric power materials to automatically collect important information such as weather that may affect the power grid. Based on previous learning experience, the intelligent robots generate a delivery forecast list and send it to the administrator for review. The administrator reviews the delivery forecast list and issues the electric power material delivery forecast list to the WCS system. The WCS system moves the materials from the storage location to the Level II cache area based on the delivery forecast list.

2. The rapid outbound control method for three-dimensional storage of electric power materials according to claim 1 is characterized in that: The step S1 analyzes the correlation of materials in the power material storage based on the work demand material correlation and the historical outbound correlation factors to obtain the material correlation probability, and places the materials with high correlation probability in physically adjacent areas to facilitate simultaneous outbound delivery.

3. The rapid outbound control method for three-dimensional storage of electric power materials according to claim 1 is characterized in that: In the step S2, the RFID / barcode information identification technology is used in the pre-processing of power materials out of the warehouse to bind the goods and pallets with data, effectively control the flow status of the goods, and remind the applicant that the materials have arrived at the buffer warehouse through SMS or system messages at the front end of the system.

4. The rapid outbound control method for three-dimensional storage of electric power materials according to claim 1 is characterized in that: In the step S4, the dynamic adjustment of the power material storage location is combined with seasonal changes and sudden weather conditions to predict the materials that are urgently needed in the next few days, and the materials are placed in the buffer area to achieve rapid delivery during power repairs.

5. The rapid outbound control method for three-dimensional storage of electric power materials according to claim 1 is characterized in that: In the S1 electric power material storage, the setting of the convenience weight of the storage location out of the storage also includes the following steps: A. Increase the weight of the convenience of outbound delivery based on the location of the warehouse near the exit and the lane; B. In multi-layer warehouses, the convenience weight of outbound storage at each level is designed according to the above method.

6. The rapid outbound control method for three-dimensional storage of electric power materials according to claim 1 is characterized in that: The calculation formula for the frequency of power materials leaving the warehouse is: Among them, F i Indicates material W i The frequency of outbound delivery, C i Indicates material W i The number of shipments per month, T represents the total number of shipments.

7. The rapid outbound control method for three-dimensional storage of electric power materials according to claim 2 is characterized in that: The calculation formula for the correlation probability of power materials is: Among them, P ij Indicates material W i and W j The probability of shipping together, C ij Indicates material W i and W j The number of times they are shipped out together, C j Indicates material W j The total number of outbound shipments.

8. The rapid outbound control method for three-dimensional storage of electric power materials according to claim 1 is characterized in that: In the step S4 of dynamically adjusting the storage location of electric power materials, the outbound forecast processing includes a dynamic adjustment step: based on the outbound forecast demand, the materials are adjusted to a location close to the exit.

9. The rapid outbound control method for three-dimensional storage of electric power materials according to claim 1 is characterized in that: The buffer area is arranged in the bottom layer of the three-dimensional warehouse, and the number of buffer locations is reasonably set according to the historical delivery orders and emergency delivery orders.

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