WMS storehouse management system

Abstract

The invention relates to the technical field of warehouse management, and discloses a WMS warehouse management system, which comprises an information settlement module, a warehouse storage difficulty calculation module, a fast-in fast-out calculation module, a space positioning module and a picking analysis module, the warehouse storage difficulty calculation module comprises a warehouse storage stored position input unit, a warehouse storage unstored position input unit, an access time acquisition unit and an access difficulty calculation unit, and the access difficulty calculation unit can accurately calculate the access difficulty for a predetermined point location. One major innovation of the system lies in that an information settlement module is introduced, the module can accurately evaluate the storage and taking difficulty degree of goods at each point location in the warehouse, and the system can intelligently distribute the goods based on the evaluation result; the warehouse point location with high storage and taking difficulty is used for storing the goods with relatively long time and low moving frequency; and the goods which can be quickly put in and out and frequently transferred are arranged on point locations where the goods are more convenient to store and take, so that the smoothness of automatic storage operation is greatly promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of warehouse management, and particularly to a WMS warehouse management system. Background Art

[0002] A warehouse management system is a software solution specifically designed to monitor, control, and optimize warehouse operations. It integrates various functions to improve inventory accuracy, enhance operational efficiency, reduce costs, and improve customer service.

[0003] Most current warehouse management systems only have basic inbound and outbound management functions and significantly lack the integration of intelligent algorithms for optimization. This means that the system cannot dynamically adjust flexibly according to the complexity of operations, nor can it provide personalized access solutions. More regrettably, these systems are often incompatible with automated stereoscopic warehouses, thus greatly limiting the access efficiency of the warehouse.

[0004] In view of this, in response to the limitation of the existing warehouse management system lacking intelligent algorithm optimization, the present application proposes a WMS warehouse management system. Summary of the Invention

[0005] The main object of the present invention is to provide a WMS warehouse management system, which can effectively solve the problems that the current warehouse management system lacks intelligent algorithms, cannot dynamically adjust flexibly according to the complexity of operations, nor can it provide personalized access solutions, and is often incompatible with automated stereoscopic warehouses, thus greatly limiting the access efficiency of the warehouse.

[0006] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] A WMS warehouse management system includes an information settlement module, a warehouse storage difficulty calculation module, a fast in and out calculation module, a space positioning module, and a picking analysis module;

[0008] The warehouse storage difficulty calculation module includes a warehouse storage stored position input unit, a warehouse storage un-stored position input unit, an access time collection unit, and an access difficulty calculation unit;

[0009] The space positioning module is used to set a three-dimensional coordinate system in the warehouse;

[0010] The access difficulty calculation unit is used to calculate the access difficulty of a predetermined point (x, y, z);

[0011] Wherein, x, y, and z are respectively the numerical values of the predetermined point on the three-dimensional coordinate axes; the calculation formula for the access difficulty of the predetermined point (x, y, z) is as shown in formula (1):

[0012]

[0013] In the above formula (1), N(x, y, z) is the access difficulty of the predetermined position (x, y, z) in the warehouse, T1 is the horizontal movement time of the handling machinery, T2 is the vertical movement time of the handling machinery, S1 is the horizontal movement speed of the handling machinery, S2 is the vertical movement speed of the handling machinery, and N i is the lifting difficulty coefficient of the goods;

[0014] When the value of N i is less than or equal to 0.5, the calculation formula of the lifting difficulty coefficient N i is shown in formula (2):

[0015] N i = P / (P + J); (2)

[0016] In the above formula (2), P is the weight of the goods, and J is the rated load capacity of the handling machinery;

[0017] When the value of N i is less than or equal to 0.5, according to formula (1) and formula (2), the calculation formula of the access difficulty of the predetermined position (x, y, z) is shown in formula (3):

[0018]

[0019] When the value of N i is greater than 0.5, the calculation formula of the lifting difficulty coefficient N i is shown in formula (4):

[0020]

[0021] In the above formula (4), R is the influence constant of the goods weight on the handling machinery;

[0022] When the value of N i is greater than 0.5, according to formula (1) and formula (4), the calculation formula of the access difficulty of the predetermined position (x, y, z) is shown in formula (5):

[0023]

[0024] When the value of N i is less than or equal to 0.5, the access difficulty N(x, y, z) of the predetermined position (x, y, z) is calculated through formula (3);

[0025] When the value of N i is greater than 0.5, the access difficulty N(x, y, z) of the predetermined position (x, y, z) is calculated through formula (5).

[0026] Preferably, the information settlement module includes a stage time access difficulty recording unit, a data comparison unit, an information storage unit, an information processing unit, and an access difficulty multi-stage change unit;

[0027] The fast forward and fast out calculation module includes an optimal path setting unit, a single storage point access path unit, a storage location access time recording unit, a single material picking time recording unit, and a single material storage time unit;

[0028] The space positioning module includes an X-axis, a Y-axis speed setting unit, a coordinate system setting unit, and a Z-axis speed setting unit;

[0029] The picking analysis module includes an optimal storage and picking path calculation unit, a path safety verification unit, and an optimal storage and picking location calculation unit.

[0030] Preferably, for the coordinate system setting unit in the space positioning module, the coordinate system setting unit sets multiple three-dimensional coordinate systems for the warehouse according to the number of warehouse exits. Each three-dimensional coordinate system for the warehouse takes the corresponding warehouse exit as the origin, and fills in the speed settings of the x, y, and z axes according to the parameters of the automatic handling machinery used in the warehouse.

[0031] Preferably, during the period when a new type of goods is first put into the warehouse for turnover, the access difficulty of the storage points (x, y, z) in the warehouse for the incoming and outgoing of this new type of goods is calculated several times using different coordinate systems;

[0032] At this time, for the same inventory point, multiple access difficulty information for the warehouse points will be generated due to different coordinate systems set for the exits, denoted as N(x, y, z, n i ), n i Calibrate the three-dimensional coordinate systems set for different exits, and at this time, introduce the influence constant E of the exit coordinate system on the access difficulty of the warehouse points i ;

[0033] Constant E i The calculation formula for the value is:

[0034]

[0035] When the value of N i is greater than 0.5, substituting the constant E i into formula (5) gives:

[0036]

[0037] When the value of N i is less than or equal to 0.5, substituting the constant E i into formula (3) gives:

[0038]

[0039] The access difficulty N(x, y, z, n i ) of each exit coordinate system at a predetermined point is obtained through the above formula, and data comparison is performed by the data comparison unit to select the exit coordinate system with the lowest access difficulty, so as to obtain the best storage position during the turnover period when the new goods are first put into the warehouse.

[0040] Preferably, the access difficulty multi-stage change unit included in the information settlement module is used to change the predetermined difficulty data and can also be used to change the prefix of the attribute information of different types of goods.

[0041] Preferably, the fast-in and fast-out calculation module is used to confirm the points where various types of goods can be accessed and stored fastest, read and analyze the paths of specific types of goods through the single storage point storage path unit, and generate the best points for specific types of goods to be most conveniently fast-in and fast-out in combination with the data taken by the storage position access time recording unit.

[0042] Preferably, when the information settlement module processes information, it compares the changes in access difficulty generated by the goods of a specified type, specified weight, and specified point through the data comparison unit, and fills in the more suitable difficulty into the goods numbers of the specified type, specified weight, and specified point.

[0043] Preferably, the working method of the WMS warehouse management system is as follows:

[0044] S1. When accessing and storing warehouse goods, confirm the coordinate points of the best storage and picking positions through the best storage and picking position calculation unit;

[0045] S2. Set the best storage and picking path through the best storage and picking path calculation unit and perform safety verification;

[0046] S3. Complete the inbound and outbound operations through the automatic handling machinery, and record the passing time data of the above paths and the coordinate data of the access positions;

[0047] S4. Calculate the above recorded data through the access difficulty calculation unit;

[0048] S5. Then perform a verification of the access difficulty through the information calculation module, compare through the data comparison unit, obtain the path of the goods of this weight and type with the smallest access difficulty, and change and save the access difficulty of this point.

[0049] The present invention innovatively introduces an information settlement module and a warehouse storage difficulty calculation module, both of which can accurately evaluate the difficulty of accessing goods at each point in the warehouse. Based on this evaluation, the system intelligently allocates warehouse points with greater access difficulties to types of goods with a longer scheduled storage time and less frequent movement, while those types of goods that require quick entry and exit and frequent turnover are arranged at points where access is more convenient. This strategy greatly promotes the smoothness of automated storage operations and significantly reduces the intervention of manual operations. At the same time, by using advanced algorithms to deeply optimize the operation process, a significant improvement in warehouse storage efficiency is achieved. In this way, the operation of the warehouse becomes more convenient and efficient, which not only speeds up the processing of goods, but also further promotes the intelligent process of warehousing management.

[0050] In the process of applying the present invention, the system can accurately set the optimal storage and picking position of goods by relying on the built-in optimal storage and picking position calculation unit. At the same time, combined with the wisdom of the optimal storage and picking path calculation unit, the system can also plan the most efficient storage and access path. This dual optimization mechanism greatly reduces the time loss in the process of goods storage and access, thereby significantly improving the work efficiency of the entire system. More importantly, this innovation not only enhances the system's degree of automation, but also pushes its intelligence level to a new height.

[0051] The present invention creates an independent three-dimensional coordinate system for each exit of the warehouse and verifies the access difficulty of newly-entered goods multiple times, thereby determining the optimal storage location. This method significantly reduces the difficulty of fast-moving consumer goods entering and leaving the warehouse and improves storage efficiency. Specifically, the system calculates the access difficulty under different coordinate systems, compares and analyzes them, and finally selects the storage solution with the lowest access difficulty, ensuring the convenience and efficiency of goods turnover.

[0052] The parts not involved in the device are the same as those in the prior art or can be implemented by using the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a system block diagram of the WMS warehouse management system of the present invention;

[0054] Figure 2 This is a flow chart of the WMS warehouse management system of the present invention;

[0055] Figure 3 This is a floor plan diagram of the warehouse where this system is applied. DETAILED DESCRIPTION

[0056] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0057] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0058] An exemplary embodiment of the present disclosure provides a WMS warehouse management system, referring to Figure 1 , including an information settlement module, a warehouse storage difficulty calculation module, a fast in and out calculation module, a spatial positioning module and a picking analysis module;

[0059] The warehouse storage difficulty calculation module includes a warehouse storage stored position entry unit, a warehouse storage un-stored position entry unit, an access time acquisition unit and an access difficulty calculation unit. The warehouse storage difficulty calculation module can quantitatively evaluate the dynamic access difficulty coefficients of each point in the storage space.

[0060] Warehouse storage stored position entry unit: Based on the three-dimensional space coordinate system, accurately locate and file the existing goods in the warehouse, and collect heterogeneous data such as goods codes, warehousing timestamps, pallet coordinates (X, Y, Z), etc.

[0061] Warehouse storage un-stored position entry unit: Real-time update and maintain the dynamic database of the warehouse capacity, and record the coordinate parameters of the positions to be allocated and the historical access frequencies.

[0062] The access time acquisition unit collects the single access material time data of specific goods through the fast in and out calculation module, accurately captures the access operation time nodes T1 and T2 of a single piece of goods (T1 is the horizontal movement time of the handling machinery, and T2 is the vertical movement time of the handling machinery), and uses the industrial Internet of Things protocol to perform heterogeneous data fusion processing on the coordinate data (x, y, z) and the goods attribute information to obtain an integrated data set.

[0063] Based on the integrated data set, an access difficulty calculation unit can establish an evaluation model for the access difficulty of a predetermined point (referring to the three-dimensional coordinate position of the coordinate axis set by the spatial positioning module):

[0064]

[0065] In the above formula (1), N(x, y, z) is the access difficulty of the storage location, S1 is the horizontal movement speed of the handling machinery, S2 is the vertical movement speed of the handling machinery, and the handling difficulty of goods of different weights is set as N i； N(x, y, z) in the above formula (1) is the horizontal access difficulty of the automatic handling machinery and the vertical access difficulty sum

[0066] In N i when the value is less than or equal to 0.5, its difficulty formula is:

[0067] N i = P / (P + J) (2)

[0068] In the above formula (2), P is the weight of the goods, and J is the rated load capacity of the handling machinery;

[0069] When N i when the value is less than or equal to 0.5, the access difficulty calculation unit calculates the difficulty of the predetermined point, and the access difficulty calculation formula for the predetermined point (x, y, z) is:

[0070]

[0071] When N i when the value is greater than 0.5, it indicates that the weight of the goods has reached the level of affecting the running speed of the handling machinery. At this time, the influence constant R of the goods weight on the handling machinery is introduced, and the difficulty coefficient N i formula is:

[0072]

[0073] At this time, the access difficulty calculation unit calculates the difficulty of the predetermined point, and its calculation formula is:

[0074]

[0075] After simplifying the above formula (5), when N i when the value is greater than 0.5, the difficulty coefficient N i formula is:

[0076]

[0077] In the process of goods access operation, we first accurately collect the weight parameter P of the goods through the information processing unit, which serves as the basic data for subsequent calculations. Subsequently, based on the preset formula (2), a rigorous numerical verification is carried out, and different calculation strategies are adopted according to the numerical range of the verification result Ni: When N i ≤ 0.5, formula (3) is used to calculate the storage difficulty of a single storage point in the warehouse; When N i > 0.5, formula (6) is used to evaluate the storage difficulty. This dual-track calculation method establishes two storage difficulty evaluation systems for each storage point in the warehouse: one group is applicable to the access difficulty evaluation of lightweight goods, and the other group measures the access difficulty of heavyweight goods. Through this hierarchical and multi-dimensional evaluation mechanism, not only the accuracy of the storage difficulty evaluation is improved, but also the safety and reliability of the goods access operation are effectively guaranteed.

[0078] In a preferred embodiment of the present invention, as Figure 3 shown, the three-dimensional space intelligent management system of the warehouse realizes dynamic warehouse optimization through the access difficulty calculation module. Based on the preset mathematical model of access difficulty, this module can calculate the access difficulty of goods at any three-dimensional coordinate point (x, y, z) in the warehouse in real time. Through the intelligent matching of spatial coordinates and logistics big data, the system constructs a multi-dimensional warehouse efficiency evaluation system.

[0079] During specific implementation, the fast-in and fast-out calculation unit and the information settlement unit perform two-way data interaction, and the storage locations are intelligently classified based on the storage difficulty. The system automatically marks the golden locations with an access difficulty coefficient lower than the threshold τ as the high-efficiency circulation area, and preferentially allocates fast-moving consumer goods with high frequencies (SKU turnover rate ≥ 5 times / month); while the locations with a difficulty coefficient in the interval [τ, τ + Δ] are designated as the strategic storage area for storing medium-turnover categories (1 ≤ SKU turnover rate < 5); when the difficulty coefficient exceeds τ + Δ, this location is classified as the long-term storage area, suitable for allocating low-turnover goods (SKU turnover rate < 1) or strategic reserve materials.

[0080] The space positioning module includes an X-axis, Y-axis speed setting unit, a coordinate system setting unit, and a Z-axis speed setting unit. The space positioning module is mainly used for setting the three-dimensional coordinate points of the warehouse and collecting the working performance data of handling machinery.

[0081] The space positioning module can flexibly set multiple coordinate systems according to the layout characteristics of the warehouse, especially the positions of its multiple exits. The origin of each coordinate system is cleverly set at an exit of the warehouse. This not only facilitates the rapid outbound of goods, but also greatly simplifies the complexity of path planning and navigation for the planar movement of automated handling machinery.

[0082] The X-axis and Y-axis speed setting unit accurately sets the rated planar two-axis (i.e., X-axis and Y-axis) moving speed of the automated handling machinery according to factors such as the width of the passage in the warehouse, the size of the goods, and the urgency of handling. This setting ensures that the machinery can maintain high efficiency during planar movement while avoiding collisions and congestion. At the same time, the Z-axis speed setting unit focuses on the speed control of the automated handling machinery in the vertical direction. Whether it is stacking, unloading, or storing goods, the Z-axis speed setting unit can set an appropriate vertical moving speed for the machinery according to actual needs, thus ensuring the smoothness and precision of the operation. It is worth mentioning that the space positioning module also has high flexibility and scalability. It can not only flexibly set the coordinate system according to the actual situation of the warehouse, but also dynamically optimize the speed parameters as the warehouse layout changes or the handling requirements are adjusted. This feature enables the space positioning module to adapt to various complex and changeable warehouse environments, bringing unprecedented convenience and efficiency to the enterprise's warehousing management.

[0083] During the period when a new type of goods is first put into the warehouse for turnover, the access difficulty of the new goods in and out of the warehouse is calculated several times using different coordinate systems for the storage points (x, y, z) in the warehouse. The same inventory point will generate multiple access difficulty information for the storage points in the warehouse due to different coordinate systems set for the exits, denoted as N(x, y, z, n i ),n i Calibrate the three-dimensional coordinate systems set for different exits.

[0084] At this time, introduce the influence constant E of the exit coordinate system on the access difficulty of the warehouse points i ;

[0085] The constant E i The calculation formula for the value is:

[0086]

[0087] When the value of N i is greater than 0.5, substituting the constant E i into formula (6) gives:

[0088]

[0089] When the value of N i is less than or equal to 0.5, substituting the constant E i into formula (3) gives:

[0090]

[0091] The steps to select the best storage location for the new goods according to the weight of the new goods are as follows:

[0092] Step 1: Calculate the access difficulty N(x, y, z, n i ) in each exit coordinate system;

[0093] Step 2: Compare the access difficulties of each exit coordinate system through the data comparison unit;

[0094] Step 3: Select the exit coordinate system with the lowest access difficulty to determine the optimal storage location for the new goods;

[0095] Through the above steps, the access difficulty of warehouse points in different coordinate systems can be effectively calculated, and the optimal storage location can be selected to optimize the turnover efficiency of new goods in the warehouse.

[0096] Through the above storage optimization strategy, fast-moving consumer goods are placed in key areas convenient for high-speed access, successfully achieving a significant effect of reducing the time cost and energy consumption of every 100 goods access operations by 15% to 30%. This improvement not only greatly reduces the consumption of human and material resources, avoids energy efficiency losses, but also substantially fine-tunes the goods access process, significantly improving the operation efficiency and fluency. It not only strengthens the effectiveness of supply chain management, but also provides an optimized foundation for the overall operation of enterprise operations.

[0097] The information settlement module includes a stage-time access difficulty recording unit, a data comparison unit, an information storage unit, an information processing unit, and an access difficulty multi-stage change unit. The information settlement module is used to compare the access difficulties of goods and update according to the access difficulty data of specific points;

[0098] The stage-time access difficulty recording unit is responsible for detailed recording of the access difficulties of each point in the warehouse accurately calculated by the access difficulty calculation unit. This function is crucial for tracking and evaluating the access efficiency of different points in the warehouse. In actual operation, for the same point in the warehouse, multiple access operations may be carried out. In order to obtain more accurate and reliable access difficulty data, the data comparison unit is designed to conduct detailed comparison and analysis of the difficulty data obtained from these multiple access operations.

[0099] It should be noted that through the above steps, the system can automatically screen out the two sets of goods access difficulty data that are closest, and then use the information processing unit to calculate the average value of these two sets of data. This average value will be used as the final access difficulty data for this point, thus greatly improving the accuracy and representativeness of the data.

[0100] The information storage unit is responsible for securely and efficiently storing the processed and calculated access difficulty data. When needed, the system can quickly retrieve this data to provide strong support for subsequent access operations. In addition, the multi-stage access difficulty change unit allows the system to flexibly adjust and update the access difficulty information for specific points according to the actual changes in the warehouse. This function ensures that the warehouse management can always be in the best state, thereby effectively improving the overall access efficiency and accuracy. In summary, through the collaborative work of its various components, the information settlement module provides a comprehensive, accurate, and flexible access difficulty assessment and management solution for warehouse management.

[0101] In one specific embodiment, the fast-in and fast-out calculation module consists of an optimal path setting unit, an access path unit for a single storage point, a storage location access time recording unit, a single material retrieval time recording unit, and a single material storage time unit. The fast-in and fast-out calculation module makes dynamic path adjustments and time management according to the actual situations such as the types, quantities, and access frequencies of goods in the warehouse, enabling the warehouse management to be more flexible and efficient.

[0102] The access path unit for a single storage point is used to send command signals to control automated handling machinery (such as automated forklifts, etc.) to perform the access operations of goods. These commands ensure that the automated machinery can complete each handling task efficiently and accurately according to the preset paths and strategies. In order to accurately grasp the time consumption of each access operation.

[0103] The storage location access time recording unit is designed to detail the access time of the automated forklift at a specific storage location. The single material retrieval time recording unit and the single material storage time recording unit are respectively responsible for recording the specific times of each material retrieval and storage operation. These data provide information support for subsequent path optimization and time management.

[0104] After obtaining rich access time data, the access path unit for a single storage point further plays its core role. It will deeply read and analyze the access paths of specific types of goods, and at the same time, combine the data collected by the storage location access time recording unit for intelligent processing. Through this series of complex operations and comparisons, the system can finally generate an optimal access point for specific types of goods. This point ensures that the goods can complete the fast-in and fast-out operations quickly and conveniently, while also maximizing the overall operation efficiency of the warehouse.

[0105] It is worth mentioning that the fast-in and fast-out calculation module can also make dynamic path adjustments and time management according to the actual situations such as the types, quantities, and access frequencies of goods in the warehouse. This function enables the warehouse management to more flexibly and efficiently respond to various complex access requirements, thus bringing greater economic benefits and competitive advantages to the enterprise.

[0106] In one specific embodiment, the picking analysis module includes a best storage and picking location calculation unit, a best storage and picking path calculation unit, and a path safety verification unit. The picking analysis module is used to simulate the access path and check the path to prevent accidents.

[0107] When performing access operations in the warehouse, the picking analysis module first performs algorithm simulation based on the storage difficulty of a single storage point, and accurately calculates the best storage and picking locations. These locations not only facilitate the rapid access of goods but also effectively reduce the handling distance and time, thereby improving the overall operation efficiency.

[0108] The best storage and picking path calculation unit further plans the optimal access path based on the set best storage and picking locations. This unit also relies on a high-precision algorithm model, which can comprehensively consider factors such as the channel layout in the warehouse, the location of obstacles, and the movement characteristics of handling machinery, to generate a path that is both efficient and safe. This path will guide the automated handling machinery or manual pickers to complete the access operation in the shortest time and with the fewest steps.

[0109] The path safety verification unit will strictly verify and evaluate the best storage and picking path to ensure that it will not collide with other objects in the warehouse or cause other safety hazards during actual operation. Only when the path passes the strict test of the safety verification unit will it be officially adopted and used to guide the actual access operation. The picking analysis module can perform dynamic path optimization and position adjustment according to factors such as changes in the warehouse layout, increases or decreases in the types of goods, and adjustments in handling requirements. This feature enables the picking analysis module to adapt to various complex and changeable warehouse environments, bringing unprecedented convenience and efficiency to the enterprise's warehousing management. At the same time, through continuous data collection and analysis, this module can also continuously optimize the algorithm model to further improve the intelligence level of the picking operation.

[0110] When the information settlement module processes information, it will compare the changes in access difficulty of goods of specified types, specified weights, and specified points through the data comparison unit, and fill in a more suitable difficulty into the goods numbers of specified types, specified weights, and specified points.

[0111] The steps of the working method of this WMS warehouse management system are as follows (refer to Figure 2 ):

[0112] S1. When performing warehouse goods access, confirm the coordinate points of the best storage and picking through the best storage and picking location calculation unit;

[0113] S2. Set the best storage and picking path through the best storage and picking path calculation unit and perform safety verification;

[0114] S3. Complete the inbound and outbound operations through an automatic handling machine, and record the passing time data of the above path and the coordinate system data of the storage and retrieval locations (this step saves a large amount of manpower and material resources by using the automatic handling machine for handling);

[0115] S4. Calculate the above recorded data through the storage and retrieval difficulty calculation unit;

[0116] S5. Then, conduct a verification of the storage and retrieval difficulty through the information calculation module, conduct a comparison through the data comparison unit, select the path of the goods with the smallest storage and retrieval difficulty for this weight and type, and modify and save the storage and retrieval difficulty of this point.

[0117] The advantages of this embodiment over the prior art are as follows: An information settlement module is introduced. This module can accurately evaluate the ease of storing and retrieving goods at each point in the warehouse. For points with lower storage and retrieval difficulty, the system preferentially arranges fast-moving consumer goods with fast in-and-out operations for storage. Such goods usually have a large demand and a fast turnover speed; while for points with higher storage and retrieval difficulty, it is more suitable to store goods with lower inbound and outbound frequencies. This strategy greatly promotes the smoothness of automated storage operations, significantly reduces the intervention of manual operations. At the same time, by using advanced algorithms to deeply optimize the operation process, a significant improvement in the storage efficiency of the warehouse is achieved. In this way, the operation of the warehouse becomes more convenient and efficient, not only speeding up the goods handling speed but also further promoting the intelligentization process of warehouse management, effectively increasing the work efficiency of goods storage operations.

[0118] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A WMS warehouse management system, characterized in that, It includes an information settlement module, a warehouse storage difficulty calculation module, a fast-in and fast-out calculation module, a spatial positioning module, and a picking analysis module; The warehouse storage difficulty calculation module includes a warehouse storage stored position entry unit, a warehouse storage un-stored position entry unit, an access time collection unit, and an access difficulty calculation unit; The spatial positioning module is used to set a three-dimensional coordinate system in the warehouse; The access difficulty calculation unit is used to calculate the access difficulty of a predetermined point (x, y, z); Among them, x, y, and z are the numerical values of the predetermined point on the three-dimensional coordinate axes respectively; the calculation formula for the access difficulty of the predetermined point (x, y, z) is as shown in formula (1): In the above formula (1), N(x, y, z) is the access difficulty of the predetermined storage location (x, y, z) in the warehouse, T1 is the horizontal movement time of the handling machinery, T2 is the vertical movement time of the handling machinery, S1 is the horizontal movement speed of the handling machinery, S2 is the vertical movement speed of the handling machinery, and N i is the lifting difficulty coefficient of the goods; When N i has a value less than or equal to 0.5, increase the difficulty coefficient N i using the calculation formula shown in formula (2): N i = P / (P + J); (2) In the above formula (2), P is the weight of the goods, and J is the rated load capacity of the handling machinery; When N i is less than or equal to 0.5, according to Formula (1) and Formula (2), the calculation formula for the access difficulty of a predetermined point (x, y, z) is as shown in Formula (3): When N i has a value greater than 0.5, increase the difficulty coefficient N i using the calculation formula shown in Formula (4): In the above formula (4), R is the influence constant of the goods weight on the handling machinery; When N i is greater than 0.5, according to Formula (1) and Formula (4), the calculation formula for the access difficulty of the predetermined point (x, y, z) is as shown in Formula (5): When N i has a value less than or equal to 0.5, the access difficulty N(x, y, z) of a predetermined point (x, y, z) is calculated by formula (3); When the value of N i is greater than 0.5, the access difficulty N(x, y, z) of a predetermined point (x, y, z) is calculated by formula (5).

2. The WMS warehouse management system according to claim 1, wherein The information settlement module includes a stage time access difficulty recording unit, a data comparison unit, an information storage unit, an information processing unit, and an access difficulty multi-stage change unit; The fast-in and fast-out calculation module includes an optimal path setting unit, a single storage point access path unit, a storage position access time recording unit, a single material picking time recording unit, and a single material storage time unit; The spatial positioning module includes an X-axis, Y-axis speed setting unit, a coordinate system setting unit, and a Z-axis speed setting unit; The picking analysis module includes an optimal storage and picking path calculation unit, a path safety verification unit, and an optimal storage and picking position calculation unit.

3. The WMS warehouse management system according to claim 2, characterized in that, The coordinate system setting unit in the spatial positioning module. The coordinate system setting unit sets multiple warehouse three-dimensional coordinate systems according to the number of warehouse exits. Each warehouse three-dimensional coordinate system uses the corresponding warehouse exit as the origin, and fills in the speed settings of the x, y, and z axes according to the parameters of the automatic handling machinery used in the warehouse.

4. The WMS warehouse management system according to claim 3, wherein: During the turnover period when a new type of goods is first put into the warehouse, the access difficulty of the warehouse points (x, y, z) is calculated several times for the access and exit of this new type of goods using different coordinate systems; At this time, multiple storage point access difficulty information will be generated for the same inventory point due to different coordinate systems set by the exits, denoted as N(x, y, z, n i ), n i Calibrate the three-dimensional coordinate systems set by different exits. At this time, introduce the influence constant E of the exit coordinate system on the access difficulty of the storage points i ; Constant E i The calculation formula of the value is as follows: When the value of N i is greater than 0.5, substituting the constant E i into formula (5) gives: When the value of N i is less than or equal to 0.5, substituting the constant E i into formula (3) gives: The access difficulty N(x, y, z, n i ) of each exit coordinate system at a predetermined point is obtained through the above formula, and data comparison is performed by the data comparison unit to select the exit coordinate system with the lowest access difficulty, thereby obtaining the optimal storage location during the turnover period when the new goods are first put into the warehouse.

5. The WMS warehouse management system according to claim 2, wherein, The access difficulty multi-stage change unit included in the information settlement module is used to change the predetermined difficulty data, and can also be used to change the prefix of the attribute information of different types of goods.

6. The WMS warehouse management system according to claim 2, characterized in that The fast-in and fast-out calculation module is used to confirm the points where various types of goods can be accessed and stored fastest. It reads and analyzes the paths of specific types of goods through the single storage point storage path unit, and combines the data taken by the storage position access time recording unit to generate the best points for specific types of goods to most conveniently complete fast-in and fast-out goods.

7. The WMS warehouse management system according to claim 1, wherein, When the information settlement module processes information, it compares the changes in access difficulty generated by goods of a specified type, specified weight, and specified point through the data comparison unit, and fills in a more suitable difficulty in the goods numbers of the specified type, specified weight, and specified point.

8. The WMS warehouse management system according to claim 1, characterized in that, The working method steps of this WMS warehouse management system are as follows: S1. When accessing and storing warehouse goods, confirm the coordinate points of the optimal storage and picking through the optimal storage and picking position calculation unit; S2. Set the optimal storage and picking path through the optimal storage and picking path calculation unit and perform safety verification; S3. Complete the inbound and outbound operations through an automatic handling machine, and record the passing time data of the above path and the coordinate system data of the storage location; S4. Calculate the above recorded data through a storage difficulty calculation unit; S5. Then, conduct a verification of the storage difficulty through an information calculation module, conduct a comparison through a data comparison unit, select the path of the goods of this weight and type with the minimum storage difficulty, and modify and save the storage difficulty of this point.

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